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3,600 | test_mutable_list.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/tests/test_mutable_list.py | # Copyright (c) 2008-2009 Aryeh Leib Taurog, http://www.aryehleib.com
# All rights reserved.
#
# Modified from original contribution by Aryeh Leib Taurog, which was
# released under the New BSD license.
import unittest
from django.contrib.gis.geos.mutable_list import ListMixin
class UserListA(ListMixin):
_mytype = tuple
def __init__(self, i_list, *args, **kwargs):
self._list = self._mytype(i_list)
super(UserListA, self).__init__(*args, **kwargs)
def __len__(self): return len(self._list)
def __str__(self): return str(self._list)
def __repr__(self): return repr(self._list)
def _set_list(self, length, items):
# this would work:
# self._list = self._mytype(items)
# but then we wouldn't be testing length parameter
itemList = ['x'] * length
for i, v in enumerate(items):
itemList[i] = v
self._list = self._mytype(itemList)
def _get_single_external(self, index):
return self._list[index]
class UserListB(UserListA):
_mytype = list
def _set_single(self, index, value):
self._list[index] = value
def nextRange(length):
nextRange.start += 100
return range(nextRange.start, nextRange.start + length)
nextRange.start = 0
class ListMixinTest(unittest.TestCase):
"""
Tests base class ListMixin by comparing a list clone which is
a ListMixin subclass with a real Python list.
"""
limit = 3
listType = UserListA
def lists_of_len(self, length=None):
if length is None: length = self.limit
pl = range(length)
return pl, self.listType(pl)
def limits_plus(self, b):
return range(-self.limit - b, self.limit + b)
def step_range(self):
return range(-1 - self.limit, 0) + range(1, 1 + self.limit)
def test01_getslice(self):
'Slice retrieval'
pl, ul = self.lists_of_len()
for i in self.limits_plus(1):
self.assertEqual(pl[i:], ul[i:], 'slice [%d:]' % (i))
self.assertEqual(pl[:i], ul[:i], 'slice [:%d]' % (i))
for j in self.limits_plus(1):
self.assertEqual(pl[i:j], ul[i:j], 'slice [%d:%d]' % (i,j))
for k in self.step_range():
self.assertEqual(pl[i:j:k], ul[i:j:k], 'slice [%d:%d:%d]' % (i,j,k))
for k in self.step_range():
self.assertEqual(pl[i::k], ul[i::k], 'slice [%d::%d]' % (i,k))
self.assertEqual(pl[:i:k], ul[:i:k], 'slice [:%d:%d]' % (i,k))
for k in self.step_range():
self.assertEqual(pl[::k], ul[::k], 'slice [::%d]' % (k))
def test02_setslice(self):
'Slice assignment'
def setfcn(x,i,j,k,L): x[i:j:k] = range(L)
pl, ul = self.lists_of_len()
for slen in range(self.limit + 1):
ssl = nextRange(slen)
ul[:] = ssl
pl[:] = ssl
self.assertEqual(pl, ul[:], 'set slice [:]')
for i in self.limits_plus(1):
ssl = nextRange(slen)
ul[i:] = ssl
pl[i:] = ssl
self.assertEqual(pl, ul[:], 'set slice [%d:]' % (i))
ssl = nextRange(slen)
ul[:i] = ssl
pl[:i] = ssl
self.assertEqual(pl, ul[:], 'set slice [:%d]' % (i))
for j in self.limits_plus(1):
ssl = nextRange(slen)
ul[i:j] = ssl
pl[i:j] = ssl
self.assertEqual(pl, ul[:], 'set slice [%d:%d]' % (i, j))
for k in self.step_range():
ssl = nextRange( len(ul[i:j:k]) )
ul[i:j:k] = ssl
pl[i:j:k] = ssl
self.assertEqual(pl, ul[:], 'set slice [%d:%d:%d]' % (i, j, k))
sliceLen = len(ul[i:j:k])
self.assertRaises(ValueError, setfcn, ul, i, j, k, sliceLen + 1)
if sliceLen > 2:
self.assertRaises(ValueError, setfcn, ul, i, j, k, sliceLen - 1)
for k in self.step_range():
ssl = nextRange( len(ul[i::k]) )
ul[i::k] = ssl
pl[i::k] = ssl
self.assertEqual(pl, ul[:], 'set slice [%d::%d]' % (i, k))
ssl = nextRange( len(ul[:i:k]) )
ul[:i:k] = ssl
pl[:i:k] = ssl
self.assertEqual(pl, ul[:], 'set slice [:%d:%d]' % (i, k))
for k in self.step_range():
ssl = nextRange(len(ul[::k]))
ul[::k] = ssl
pl[::k] = ssl
self.assertEqual(pl, ul[:], 'set slice [::%d]' % (k))
def test03_delslice(self):
'Delete slice'
for Len in range(self.limit):
pl, ul = self.lists_of_len(Len)
del pl[:]
del ul[:]
self.assertEqual(pl[:], ul[:], 'del slice [:]')
for i in range(-Len - 1, Len + 1):
pl, ul = self.lists_of_len(Len)
del pl[i:]
del ul[i:]
self.assertEqual(pl[:], ul[:], 'del slice [%d:]' % (i))
pl, ul = self.lists_of_len(Len)
del pl[:i]
del ul[:i]
self.assertEqual(pl[:], ul[:], 'del slice [:%d]' % (i))
for j in range(-Len - 1, Len + 1):
pl, ul = self.lists_of_len(Len)
del pl[i:j]
del ul[i:j]
self.assertEqual(pl[:], ul[:], 'del slice [%d:%d]' % (i,j))
for k in range(-Len - 1,0) + range(1,Len):
pl, ul = self.lists_of_len(Len)
del pl[i:j:k]
del ul[i:j:k]
self.assertEqual(pl[:], ul[:], 'del slice [%d:%d:%d]' % (i,j,k))
for k in range(-Len - 1,0) + range(1,Len):
pl, ul = self.lists_of_len(Len)
del pl[:i:k]
del ul[:i:k]
self.assertEqual(pl[:], ul[:], 'del slice [:%d:%d]' % (i,k))
pl, ul = self.lists_of_len(Len)
del pl[i::k]
del ul[i::k]
self.assertEqual(pl[:], ul[:], 'del slice [%d::%d]' % (i,k))
for k in range(-Len - 1,0) + range(1,Len):
pl, ul = self.lists_of_len(Len)
del pl[::k]
del ul[::k]
self.assertEqual(pl[:], ul[:], 'del slice [::%d]' % (k))
def test04_get_set_del_single(self):
'Get/set/delete single item'
pl, ul = self.lists_of_len()
for i in self.limits_plus(0):
self.assertEqual(pl[i], ul[i], 'get single item [%d]' % i)
for i in self.limits_plus(0):
pl, ul = self.lists_of_len()
pl[i] = 100
ul[i] = 100
self.assertEqual(pl[:], ul[:], 'set single item [%d]' % i)
for i in self.limits_plus(0):
pl, ul = self.lists_of_len()
del pl[i]
del ul[i]
self.assertEqual(pl[:], ul[:], 'del single item [%d]' % i)
def test05_out_of_range_exceptions(self):
'Out of range exceptions'
def setfcn(x, i): x[i] = 20
def getfcn(x, i): return x[i]
def delfcn(x, i): del x[i]
pl, ul = self.lists_of_len()
for i in (-1 - self.limit, self.limit):
self.assertRaises(IndexError, setfcn, ul, i) # 'set index %d' % i)
self.assertRaises(IndexError, getfcn, ul, i) # 'get index %d' % i)
self.assertRaises(IndexError, delfcn, ul, i) # 'del index %d' % i)
def test06_list_methods(self):
'List methods'
pl, ul = self.lists_of_len()
pl.append(40)
ul.append(40)
self.assertEqual(pl[:], ul[:], 'append')
pl.extend(range(50,55))
ul.extend(range(50,55))
self.assertEqual(pl[:], ul[:], 'extend')
pl.reverse()
ul.reverse()
self.assertEqual(pl[:], ul[:], 'reverse')
for i in self.limits_plus(1):
pl, ul = self.lists_of_len()
pl.insert(i,50)
ul.insert(i,50)
self.assertEqual(pl[:], ul[:], 'insert at %d' % i)
for i in self.limits_plus(0):
pl, ul = self.lists_of_len()
self.assertEqual(pl.pop(i), ul.pop(i), 'popped value at %d' % i)
self.assertEqual(pl[:], ul[:], 'after pop at %d' % i)
pl, ul = self.lists_of_len()
self.assertEqual(pl.pop(), ul.pop(i), 'popped value')
self.assertEqual(pl[:], ul[:], 'after pop')
pl, ul = self.lists_of_len()
def popfcn(x, i): x.pop(i)
self.assertRaises(IndexError, popfcn, ul, self.limit)
self.assertRaises(IndexError, popfcn, ul, -1 - self.limit)
pl, ul = self.lists_of_len()
for val in range(self.limit):
self.assertEqual(pl.index(val), ul.index(val), 'index of %d' % val)
for val in self.limits_plus(2):
self.assertEqual(pl.count(val), ul.count(val), 'count %d' % val)
for val in range(self.limit):
pl, ul = self.lists_of_len()
pl.remove(val)
ul.remove(val)
self.assertEqual(pl[:], ul[:], 'after remove val %d' % val)
def indexfcn(x, v): return x.index(v)
def removefcn(x, v): return x.remove(v)
self.assertRaises(ValueError, indexfcn, ul, 40)
self.assertRaises(ValueError, removefcn, ul, 40)
def test07_allowed_types(self):
'Type-restricted list'
pl, ul = self.lists_of_len()
ul._allowed = (int, long)
ul[1] = 50
ul[:2] = [60, 70, 80]
def setfcn(x, i, v): x[i] = v
self.assertRaises(TypeError, setfcn, ul, 2, 'hello')
self.assertRaises(TypeError, setfcn, ul, slice(0,3,2), ('hello','goodbye'))
def test08_min_length(self):
'Length limits'
pl, ul = self.lists_of_len()
ul._minlength = 1
def delfcn(x,i): del x[:i]
def setfcn(x,i): x[:i] = []
for i in range(self.limit - ul._minlength + 1, self.limit + 1):
self.assertRaises(ValueError, delfcn, ul, i)
self.assertRaises(ValueError, setfcn, ul, i)
del ul[:ul._minlength]
ul._maxlength = 4
for i in range(0, ul._maxlength - len(ul)):
ul.append(i)
self.assertRaises(ValueError, ul.append, 10)
def test09_iterable_check(self):
'Error on assigning non-iterable to slice'
pl, ul = self.lists_of_len(self.limit + 1)
def setfcn(x, i, v): x[i] = v
self.assertRaises(TypeError, setfcn, ul, slice(0,3,2), 2)
def test10_checkindex(self):
'Index check'
pl, ul = self.lists_of_len()
for i in self.limits_plus(0):
if i < 0:
self.assertEqual(ul._checkindex(i), i + self.limit, '_checkindex(neg index)')
else:
self.assertEqual(ul._checkindex(i), i, '_checkindex(pos index)')
for i in (-self.limit - 1, self.limit):
self.assertRaises(IndexError, ul._checkindex, i)
ul._IndexError = TypeError
self.assertRaises(TypeError, ul._checkindex, -self.limit - 1)
def test_11_sorting(self):
'Sorting'
pl, ul = self.lists_of_len()
pl.insert(0, pl.pop())
ul.insert(0, ul.pop())
pl.sort()
ul.sort()
self.assertEqual(pl[:], ul[:], 'sort')
mid = pl[len(pl) / 2]
pl.sort(key=lambda x: (mid-x)**2)
ul.sort(key=lambda x: (mid-x)**2)
self.assertEqual(pl[:], ul[:], 'sort w/ key')
pl.insert(0, pl.pop())
ul.insert(0, ul.pop())
pl.sort(reverse=True)
ul.sort(reverse=True)
self.assertEqual(pl[:], ul[:], 'sort w/ reverse')
mid = pl[len(pl) / 2]
pl.sort(key=lambda x: (mid-x)**2)
ul.sort(key=lambda x: (mid-x)**2)
self.assertEqual(pl[:], ul[:], 'sort w/ key')
def test_12_arithmetic(self):
'Arithmetic'
pl, ul = self.lists_of_len()
al = range(10,14)
self.assertEqual(list(pl + al), list(ul + al), 'add')
self.assertEqual(type(ul), type(ul + al), 'type of add result')
self.assertEqual(list(al + pl), list(al + ul), 'radd')
self.assertEqual(type(al), type(al + ul), 'type of radd result')
objid = id(ul)
pl += al
ul += al
self.assertEqual(pl[:], ul[:], 'in-place add')
self.assertEqual(objid, id(ul), 'in-place add id')
for n in (-1,0,1,3):
pl, ul = self.lists_of_len()
self.assertEqual(list(pl * n), list(ul * n), 'mul by %d' % n)
self.assertEqual(type(ul), type(ul * n), 'type of mul by %d result' % n)
self.assertEqual(list(n * pl), list(n * ul), 'rmul by %d' % n)
self.assertEqual(type(ul), type(n * ul), 'type of rmul by %d result' % n)
objid = id(ul)
pl *= n
ul *= n
self.assertEqual(pl[:], ul[:], 'in-place mul by %d' % n)
self.assertEqual(objid, id(ul), 'in-place mul by %d id' % n)
pl, ul = self.lists_of_len()
self.assertEqual(pl, ul, 'cmp for equal')
self.assert_(pl >= ul, 'cmp for gte self')
self.assert_(pl <= ul, 'cmp for lte self')
self.assert_(ul >= pl, 'cmp for self gte')
self.assert_(ul <= pl, 'cmp for self lte')
self.assert_(pl + [5] > ul, 'cmp')
self.assert_(pl + [5] >= ul, 'cmp')
self.assert_(pl < ul + [2], 'cmp')
self.assert_(pl <= ul + [2], 'cmp')
self.assert_(ul + [5] > pl, 'cmp')
self.assert_(ul + [5] >= pl, 'cmp')
self.assert_(ul < pl + [2], 'cmp')
self.assert_(ul <= pl + [2], 'cmp')
pl[1] = 20
self.assert_(pl > ul, 'cmp for gt self')
self.assert_(ul < pl, 'cmp for self lt')
pl[1] = -20
self.assert_(pl < ul, 'cmp for lt self')
self.assert_(pl < ul, 'cmp for lt self')
class ListMixinTestSingle(ListMixinTest):
listType = UserListB
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(ListMixinTest))
s.addTest(unittest.makeSuite(ListMixinTestSingle))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
if __name__ == '__main__':
run()
| 14,520 | Python | .py | 332 | 32.295181 | 93 | 0.505311 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,601 | test_geos.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/tests/test_geos.py | import ctypes, random, unittest, sys
from django.contrib.gis.geos import *
from django.contrib.gis.geos.base import gdal, numpy, GEOSBase
from django.contrib.gis.geometry.test_data import TestDataMixin
class GEOSTest(unittest.TestCase, TestDataMixin):
@property
def null_srid(self):
"""
Returns the proper null SRID depending on the GEOS version.
See the comments in `test15_srid` for more details.
"""
info = geos_version_info()
if info['version'] == '3.0.0' and info['release_candidate']:
return -1
else:
return None
def test00_base(self):
"Tests out the GEOSBase class."
# Testing out GEOSBase class, which provides a `ptr` property
# that abstracts out access to underlying C pointers.
class FakeGeom1(GEOSBase):
pass
# This one only accepts pointers to floats
c_float_p = ctypes.POINTER(ctypes.c_float)
class FakeGeom2(GEOSBase):
ptr_type = c_float_p
# Default ptr_type is `c_void_p`.
fg1 = FakeGeom1()
# Default ptr_type is C float pointer
fg2 = FakeGeom2()
# These assignments are OK -- None is allowed because
# it's equivalent to the NULL pointer.
fg1.ptr = ctypes.c_void_p()
fg1.ptr = None
fg2.ptr = c_float_p(ctypes.c_float(5.23))
fg2.ptr = None
# Because pointers have been set to NULL, an exception should be
# raised when we try to access it. Raising an exception is
# preferrable to a segmentation fault that commonly occurs when
# a C method is given a NULL memory reference.
for fg in (fg1, fg2):
# Equivalent to `fg.ptr`
self.assertRaises(GEOSException, fg._get_ptr)
# Anything that is either not None or the acceptable pointer type will
# result in a TypeError when trying to assign it to the `ptr` property.
# Thus, memmory addresses (integers) and pointers of the incorrect type
# (in `bad_ptrs`) will not be allowed.
bad_ptrs = (5, ctypes.c_char_p('foobar'))
for bad_ptr in bad_ptrs:
# Equivalent to `fg.ptr = bad_ptr`
self.assertRaises(TypeError, fg1._set_ptr, bad_ptr)
self.assertRaises(TypeError, fg2._set_ptr, bad_ptr)
def test01a_wkt(self):
"Testing WKT output."
for g in self.geometries.wkt_out:
geom = fromstr(g.wkt)
self.assertEqual(g.ewkt, geom.wkt)
def test01b_hex(self):
"Testing HEX output."
for g in self.geometries.hex_wkt:
geom = fromstr(g.wkt)
self.assertEqual(g.hex, geom.hex)
def test01b_hexewkb(self):
"Testing (HEX)EWKB output."
from binascii import a2b_hex
# For testing HEX(EWKB).
ogc_hex = '01010000000000000000000000000000000000F03F'
# `SELECT ST_AsHEXEWKB(ST_GeomFromText('POINT(0 1)', 4326));`
hexewkb_2d = '0101000020E61000000000000000000000000000000000F03F'
# `SELECT ST_AsHEXEWKB(ST_GeomFromEWKT('SRID=4326;POINT(0 1 2)'));`
hexewkb_3d = '01010000A0E61000000000000000000000000000000000F03F0000000000000040'
pnt_2d = Point(0, 1, srid=4326)
pnt_3d = Point(0, 1, 2, srid=4326)
# OGC-compliant HEX will not have SRID nor Z value.
self.assertEqual(ogc_hex, pnt_2d.hex)
self.assertEqual(ogc_hex, pnt_3d.hex)
# HEXEWKB should be appropriate for its dimension -- have to use an
# a WKBWriter w/dimension set accordingly, else GEOS will insert
# garbage into 3D coordinate if there is none. Also, GEOS has a
# a bug in versions prior to 3.1 that puts the X coordinate in
# place of Z; an exception should be raised on those versions.
self.assertEqual(hexewkb_2d, pnt_2d.hexewkb)
if GEOS_PREPARE:
self.assertEqual(hexewkb_3d, pnt_3d.hexewkb)
self.assertEqual(True, GEOSGeometry(hexewkb_3d).hasz)
else:
try:
hexewkb = pnt_3d.hexewkb
except GEOSException:
pass
else:
self.fail('Should have raised GEOSException.')
# Same for EWKB.
self.assertEqual(buffer(a2b_hex(hexewkb_2d)), pnt_2d.ewkb)
if GEOS_PREPARE:
self.assertEqual(buffer(a2b_hex(hexewkb_3d)), pnt_3d.ewkb)
else:
try:
ewkb = pnt_3d.ewkb
except GEOSException:
pass
else:
self.fail('Should have raised GEOSException')
# Redundant sanity check.
self.assertEqual(4326, GEOSGeometry(hexewkb_2d).srid)
def test01c_kml(self):
"Testing KML output."
for tg in self.geometries.wkt_out:
geom = fromstr(tg.wkt)
kml = getattr(tg, 'kml', False)
if kml: self.assertEqual(kml, geom.kml)
def test01d_errors(self):
"Testing the Error handlers."
# string-based
print "\nBEGIN - expecting GEOS_ERROR; safe to ignore.\n"
for err in self.geometries.errors:
try:
g = fromstr(err.wkt)
except (GEOSException, ValueError):
pass
# Bad WKB
self.assertRaises(GEOSException, GEOSGeometry, buffer('0'))
print "\nEND - expecting GEOS_ERROR; safe to ignore.\n"
class NotAGeometry(object):
pass
# Some other object
self.assertRaises(TypeError, GEOSGeometry, NotAGeometry())
# None
self.assertRaises(TypeError, GEOSGeometry, None)
def test01e_wkb(self):
"Testing WKB output."
from binascii import b2a_hex
for g in self.geometries.hex_wkt:
geom = fromstr(g.wkt)
wkb = geom.wkb
self.assertEqual(b2a_hex(wkb).upper(), g.hex)
def test01f_create_hex(self):
"Testing creation from HEX."
for g in self.geometries.hex_wkt:
geom_h = GEOSGeometry(g.hex)
# we need to do this so decimal places get normalised
geom_t = fromstr(g.wkt)
self.assertEqual(geom_t.wkt, geom_h.wkt)
def test01g_create_wkb(self):
"Testing creation from WKB."
from binascii import a2b_hex
for g in self.geometries.hex_wkt:
wkb = buffer(a2b_hex(g.hex))
geom_h = GEOSGeometry(wkb)
# we need to do this so decimal places get normalised
geom_t = fromstr(g.wkt)
self.assertEqual(geom_t.wkt, geom_h.wkt)
def test01h_ewkt(self):
"Testing EWKT."
srid = 32140
for p in self.geometries.polygons:
ewkt = 'SRID=%d;%s' % (srid, p.wkt)
poly = fromstr(ewkt)
self.assertEqual(srid, poly.srid)
self.assertEqual(srid, poly.shell.srid)
self.assertEqual(srid, fromstr(poly.ewkt).srid) # Checking export
def test01i_json(self):
"Testing GeoJSON input/output (via GDAL)."
if not gdal or not gdal.GEOJSON: return
for g in self.geometries.json_geoms:
geom = GEOSGeometry(g.wkt)
if not hasattr(g, 'not_equal'):
self.assertEqual(g.json, geom.json)
self.assertEqual(g.json, geom.geojson)
self.assertEqual(GEOSGeometry(g.wkt), GEOSGeometry(geom.json))
def test01k_fromfile(self):
"Testing the fromfile() factory."
from StringIO import StringIO
ref_pnt = GEOSGeometry('POINT(5 23)')
wkt_f = StringIO()
wkt_f.write(ref_pnt.wkt)
wkb_f = StringIO()
wkb_f.write(str(ref_pnt.wkb))
# Other tests use `fromfile()` on string filenames so those
# aren't tested here.
for fh in (wkt_f, wkb_f):
fh.seek(0)
pnt = fromfile(fh)
self.assertEqual(ref_pnt, pnt)
def test01k_eq(self):
"Testing equivalence."
p = fromstr('POINT(5 23)')
self.assertEqual(p, p.wkt)
self.assertNotEqual(p, 'foo')
ls = fromstr('LINESTRING(0 0, 1 1, 5 5)')
self.assertEqual(ls, ls.wkt)
self.assertNotEqual(p, 'bar')
# Error shouldn't be raise on equivalence testing with
# an invalid type.
for g in (p, ls):
self.assertNotEqual(g, None)
self.assertNotEqual(g, {'foo' : 'bar'})
self.assertNotEqual(g, False)
def test02a_points(self):
"Testing Point objects."
prev = fromstr('POINT(0 0)')
for p in self.geometries.points:
# Creating the point from the WKT
pnt = fromstr(p.wkt)
self.assertEqual(pnt.geom_type, 'Point')
self.assertEqual(pnt.geom_typeid, 0)
self.assertEqual(p.x, pnt.x)
self.assertEqual(p.y, pnt.y)
self.assertEqual(True, pnt == fromstr(p.wkt))
self.assertEqual(False, pnt == prev)
# Making sure that the point's X, Y components are what we expect
self.assertAlmostEqual(p.x, pnt.tuple[0], 9)
self.assertAlmostEqual(p.y, pnt.tuple[1], 9)
# Testing the third dimension, and getting the tuple arguments
if hasattr(p, 'z'):
self.assertEqual(True, pnt.hasz)
self.assertEqual(p.z, pnt.z)
self.assertEqual(p.z, pnt.tuple[2], 9)
tup_args = (p.x, p.y, p.z)
set_tup1 = (2.71, 3.14, 5.23)
set_tup2 = (5.23, 2.71, 3.14)
else:
self.assertEqual(False, pnt.hasz)
self.assertEqual(None, pnt.z)
tup_args = (p.x, p.y)
set_tup1 = (2.71, 3.14)
set_tup2 = (3.14, 2.71)
# Centroid operation on point should be point itself
self.assertEqual(p.centroid, pnt.centroid.tuple)
# Now testing the different constructors
pnt2 = Point(tup_args) # e.g., Point((1, 2))
pnt3 = Point(*tup_args) # e.g., Point(1, 2)
self.assertEqual(True, pnt == pnt2)
self.assertEqual(True, pnt == pnt3)
# Now testing setting the x and y
pnt.y = 3.14
pnt.x = 2.71
self.assertEqual(3.14, pnt.y)
self.assertEqual(2.71, pnt.x)
# Setting via the tuple/coords property
pnt.tuple = set_tup1
self.assertEqual(set_tup1, pnt.tuple)
pnt.coords = set_tup2
self.assertEqual(set_tup2, pnt.coords)
prev = pnt # setting the previous geometry
def test02b_multipoints(self):
"Testing MultiPoint objects."
for mp in self.geometries.multipoints:
mpnt = fromstr(mp.wkt)
self.assertEqual(mpnt.geom_type, 'MultiPoint')
self.assertEqual(mpnt.geom_typeid, 4)
self.assertAlmostEqual(mp.centroid[0], mpnt.centroid.tuple[0], 9)
self.assertAlmostEqual(mp.centroid[1], mpnt.centroid.tuple[1], 9)
self.assertRaises(GEOSIndexError, mpnt.__getitem__, len(mpnt))
self.assertEqual(mp.centroid, mpnt.centroid.tuple)
self.assertEqual(mp.coords, tuple(m.tuple for m in mpnt))
for p in mpnt:
self.assertEqual(p.geom_type, 'Point')
self.assertEqual(p.geom_typeid, 0)
self.assertEqual(p.empty, False)
self.assertEqual(p.valid, True)
def test03a_linestring(self):
"Testing LineString objects."
prev = fromstr('POINT(0 0)')
for l in self.geometries.linestrings:
ls = fromstr(l.wkt)
self.assertEqual(ls.geom_type, 'LineString')
self.assertEqual(ls.geom_typeid, 1)
self.assertEqual(ls.empty, False)
self.assertEqual(ls.ring, False)
if hasattr(l, 'centroid'):
self.assertEqual(l.centroid, ls.centroid.tuple)
if hasattr(l, 'tup'):
self.assertEqual(l.tup, ls.tuple)
self.assertEqual(True, ls == fromstr(l.wkt))
self.assertEqual(False, ls == prev)
self.assertRaises(GEOSIndexError, ls.__getitem__, len(ls))
prev = ls
# Creating a LineString from a tuple, list, and numpy array
self.assertEqual(ls, LineString(ls.tuple)) # tuple
self.assertEqual(ls, LineString(*ls.tuple)) # as individual arguments
self.assertEqual(ls, LineString([list(tup) for tup in ls.tuple])) # as list
self.assertEqual(ls.wkt, LineString(*tuple(Point(tup) for tup in ls.tuple)).wkt) # Point individual arguments
if numpy: self.assertEqual(ls, LineString(numpy.array(ls.tuple))) # as numpy array
def test03b_multilinestring(self):
"Testing MultiLineString objects."
prev = fromstr('POINT(0 0)')
for l in self.geometries.multilinestrings:
ml = fromstr(l.wkt)
self.assertEqual(ml.geom_type, 'MultiLineString')
self.assertEqual(ml.geom_typeid, 5)
self.assertAlmostEqual(l.centroid[0], ml.centroid.x, 9)
self.assertAlmostEqual(l.centroid[1], ml.centroid.y, 9)
self.assertEqual(True, ml == fromstr(l.wkt))
self.assertEqual(False, ml == prev)
prev = ml
for ls in ml:
self.assertEqual(ls.geom_type, 'LineString')
self.assertEqual(ls.geom_typeid, 1)
self.assertEqual(ls.empty, False)
self.assertRaises(GEOSIndexError, ml.__getitem__, len(ml))
self.assertEqual(ml.wkt, MultiLineString(*tuple(s.clone() for s in ml)).wkt)
self.assertEqual(ml, MultiLineString(*tuple(LineString(s.tuple) for s in ml)))
def test04_linearring(self):
"Testing LinearRing objects."
for rr in self.geometries.linearrings:
lr = fromstr(rr.wkt)
self.assertEqual(lr.geom_type, 'LinearRing')
self.assertEqual(lr.geom_typeid, 2)
self.assertEqual(rr.n_p, len(lr))
self.assertEqual(True, lr.valid)
self.assertEqual(False, lr.empty)
# Creating a LinearRing from a tuple, list, and numpy array
self.assertEqual(lr, LinearRing(lr.tuple))
self.assertEqual(lr, LinearRing(*lr.tuple))
self.assertEqual(lr, LinearRing([list(tup) for tup in lr.tuple]))
if numpy: self.assertEqual(lr, LinearRing(numpy.array(lr.tuple)))
def test05a_polygons(self):
"Testing Polygon objects."
# Testing `from_bbox` class method
bbox = (-180, -90, 180, 90)
p = Polygon.from_bbox( bbox )
self.assertEqual(bbox, p.extent)
prev = fromstr('POINT(0 0)')
for p in self.geometries.polygons:
# Creating the Polygon, testing its properties.
poly = fromstr(p.wkt)
self.assertEqual(poly.geom_type, 'Polygon')
self.assertEqual(poly.geom_typeid, 3)
self.assertEqual(poly.empty, False)
self.assertEqual(poly.ring, False)
self.assertEqual(p.n_i, poly.num_interior_rings)
self.assertEqual(p.n_i + 1, len(poly)) # Testing __len__
self.assertEqual(p.n_p, poly.num_points)
# Area & Centroid
self.assertAlmostEqual(p.area, poly.area, 9)
self.assertAlmostEqual(p.centroid[0], poly.centroid.tuple[0], 9)
self.assertAlmostEqual(p.centroid[1], poly.centroid.tuple[1], 9)
# Testing the geometry equivalence
self.assertEqual(True, poly == fromstr(p.wkt))
self.assertEqual(False, poly == prev) # Should not be equal to previous geometry
self.assertEqual(True, poly != prev)
# Testing the exterior ring
ring = poly.exterior_ring
self.assertEqual(ring.geom_type, 'LinearRing')
self.assertEqual(ring.geom_typeid, 2)
if p.ext_ring_cs:
self.assertEqual(p.ext_ring_cs, ring.tuple)
self.assertEqual(p.ext_ring_cs, poly[0].tuple) # Testing __getitem__
# Testing __getitem__ and __setitem__ on invalid indices
self.assertRaises(GEOSIndexError, poly.__getitem__, len(poly))
self.assertRaises(GEOSIndexError, poly.__setitem__, len(poly), False)
self.assertRaises(GEOSIndexError, poly.__getitem__, -1 * len(poly) - 1)
# Testing __iter__
for r in poly:
self.assertEqual(r.geom_type, 'LinearRing')
self.assertEqual(r.geom_typeid, 2)
# Testing polygon construction.
self.assertRaises(TypeError, Polygon.__init__, 0, [1, 2, 3])
self.assertRaises(TypeError, Polygon.__init__, 'foo')
# Polygon(shell, (hole1, ... holeN))
rings = tuple(r for r in poly)
self.assertEqual(poly, Polygon(rings[0], rings[1:]))
# Polygon(shell_tuple, hole_tuple1, ... , hole_tupleN)
ring_tuples = tuple(r.tuple for r in poly)
self.assertEqual(poly, Polygon(*ring_tuples))
# Constructing with tuples of LinearRings.
self.assertEqual(poly.wkt, Polygon(*tuple(r for r in poly)).wkt)
self.assertEqual(poly.wkt, Polygon(*tuple(LinearRing(r.tuple) for r in poly)).wkt)
def test05b_multipolygons(self):
"Testing MultiPolygon objects."
print "\nBEGIN - expecting GEOS_NOTICE; safe to ignore.\n"
prev = fromstr('POINT (0 0)')
for mp in self.geometries.multipolygons:
mpoly = fromstr(mp.wkt)
self.assertEqual(mpoly.geom_type, 'MultiPolygon')
self.assertEqual(mpoly.geom_typeid, 6)
self.assertEqual(mp.valid, mpoly.valid)
if mp.valid:
self.assertEqual(mp.num_geom, mpoly.num_geom)
self.assertEqual(mp.n_p, mpoly.num_coords)
self.assertEqual(mp.num_geom, len(mpoly))
self.assertRaises(GEOSIndexError, mpoly.__getitem__, len(mpoly))
for p in mpoly:
self.assertEqual(p.geom_type, 'Polygon')
self.assertEqual(p.geom_typeid, 3)
self.assertEqual(p.valid, True)
self.assertEqual(mpoly.wkt, MultiPolygon(*tuple(poly.clone() for poly in mpoly)).wkt)
print "\nEND - expecting GEOS_NOTICE; safe to ignore.\n"
def test06a_memory_hijinks(self):
"Testing Geometry __del__() on rings and polygons."
#### Memory issues with rings and polygons
# These tests are needed to ensure sanity with writable geometries.
# Getting a polygon with interior rings, and pulling out the interior rings
poly = fromstr(self.geometries.polygons[1].wkt)
ring1 = poly[0]
ring2 = poly[1]
# These deletes should be 'harmless' since they are done on child geometries
del ring1
del ring2
ring1 = poly[0]
ring2 = poly[1]
# Deleting the polygon
del poly
# Access to these rings is OK since they are clones.
s1, s2 = str(ring1), str(ring2)
def test08_coord_seq(self):
"Testing Coordinate Sequence objects."
for p in self.geometries.polygons:
if p.ext_ring_cs:
# Constructing the polygon and getting the coordinate sequence
poly = fromstr(p.wkt)
cs = poly.exterior_ring.coord_seq
self.assertEqual(p.ext_ring_cs, cs.tuple) # done in the Polygon test too.
self.assertEqual(len(p.ext_ring_cs), len(cs)) # Making sure __len__ works
# Checks __getitem__ and __setitem__
for i in xrange(len(p.ext_ring_cs)):
c1 = p.ext_ring_cs[i] # Expected value
c2 = cs[i] # Value from coordseq
self.assertEqual(c1, c2)
# Constructing the test value to set the coordinate sequence with
if len(c1) == 2: tset = (5, 23)
else: tset = (5, 23, 8)
cs[i] = tset
# Making sure every set point matches what we expect
for j in range(len(tset)):
cs[i] = tset
self.assertEqual(tset[j], cs[i][j])
def test09_relate_pattern(self):
"Testing relate() and relate_pattern()."
g = fromstr('POINT (0 0)')
self.assertRaises(GEOSException, g.relate_pattern, 0, 'invalid pattern, yo')
for rg in self.geometries.relate_geoms:
a = fromstr(rg.wkt_a)
b = fromstr(rg.wkt_b)
self.assertEqual(rg.result, a.relate_pattern(b, rg.pattern))
self.assertEqual(rg.pattern, a.relate(b))
def test10_intersection(self):
"Testing intersects() and intersection()."
for i in xrange(len(self.geometries.topology_geoms)):
a = fromstr(self.geometries.topology_geoms[i].wkt_a)
b = fromstr(self.geometries.topology_geoms[i].wkt_b)
i1 = fromstr(self.geometries.intersect_geoms[i].wkt)
self.assertEqual(True, a.intersects(b))
i2 = a.intersection(b)
self.assertEqual(i1, i2)
self.assertEqual(i1, a & b) # __and__ is intersection operator
a &= b # testing __iand__
self.assertEqual(i1, a)
def test11_union(self):
"Testing union()."
for i in xrange(len(self.geometries.topology_geoms)):
a = fromstr(self.geometries.topology_geoms[i].wkt_a)
b = fromstr(self.geometries.topology_geoms[i].wkt_b)
u1 = fromstr(self.geometries.union_geoms[i].wkt)
u2 = a.union(b)
self.assertEqual(u1, u2)
self.assertEqual(u1, a | b) # __or__ is union operator
a |= b # testing __ior__
self.assertEqual(u1, a)
def test12_difference(self):
"Testing difference()."
for i in xrange(len(self.geometries.topology_geoms)):
a = fromstr(self.geometries.topology_geoms[i].wkt_a)
b = fromstr(self.geometries.topology_geoms[i].wkt_b)
d1 = fromstr(self.geometries.diff_geoms[i].wkt)
d2 = a.difference(b)
self.assertEqual(d1, d2)
self.assertEqual(d1, a - b) # __sub__ is difference operator
a -= b # testing __isub__
self.assertEqual(d1, a)
def test13_symdifference(self):
"Testing sym_difference()."
for i in xrange(len(self.geometries.topology_geoms)):
a = fromstr(self.geometries.topology_geoms[i].wkt_a)
b = fromstr(self.geometries.topology_geoms[i].wkt_b)
d1 = fromstr(self.geometries.sdiff_geoms[i].wkt)
d2 = a.sym_difference(b)
self.assertEqual(d1, d2)
self.assertEqual(d1, a ^ b) # __xor__ is symmetric difference operator
a ^= b # testing __ixor__
self.assertEqual(d1, a)
def test14_buffer(self):
"Testing buffer()."
for bg in self.geometries.buffer_geoms:
g = fromstr(bg.wkt)
# The buffer we expect
exp_buf = fromstr(bg.buffer_wkt)
quadsegs = bg.quadsegs
width = bg.width
# Can't use a floating-point for the number of quadsegs.
self.assertRaises(ctypes.ArgumentError, g.buffer, width, float(quadsegs))
# Constructing our buffer
buf = g.buffer(width, quadsegs)
self.assertEqual(exp_buf.num_coords, buf.num_coords)
self.assertEqual(len(exp_buf), len(buf))
# Now assuring that each point in the buffer is almost equal
for j in xrange(len(exp_buf)):
exp_ring = exp_buf[j]
buf_ring = buf[j]
self.assertEqual(len(exp_ring), len(buf_ring))
for k in xrange(len(exp_ring)):
# Asserting the X, Y of each point are almost equal (due to floating point imprecision)
self.assertAlmostEqual(exp_ring[k][0], buf_ring[k][0], 9)
self.assertAlmostEqual(exp_ring[k][1], buf_ring[k][1], 9)
def test15_srid(self):
"Testing the SRID property and keyword."
# Testing SRID keyword on Point
pnt = Point(5, 23, srid=4326)
self.assertEqual(4326, pnt.srid)
pnt.srid = 3084
self.assertEqual(3084, pnt.srid)
self.assertRaises(ctypes.ArgumentError, pnt.set_srid, '4326')
# Testing SRID keyword on fromstr(), and on Polygon rings.
poly = fromstr(self.geometries.polygons[1].wkt, srid=4269)
self.assertEqual(4269, poly.srid)
for ring in poly: self.assertEqual(4269, ring.srid)
poly.srid = 4326
self.assertEqual(4326, poly.shell.srid)
# Testing SRID keyword on GeometryCollection
gc = GeometryCollection(Point(5, 23), LineString((0, 0), (1.5, 1.5), (3, 3)), srid=32021)
self.assertEqual(32021, gc.srid)
for i in range(len(gc)): self.assertEqual(32021, gc[i].srid)
# GEOS may get the SRID from HEXEWKB
# 'POINT(5 23)' at SRID=4326 in hex form -- obtained from PostGIS
# using `SELECT GeomFromText('POINT (5 23)', 4326);`.
hex = '0101000020E610000000000000000014400000000000003740'
p1 = fromstr(hex)
self.assertEqual(4326, p1.srid)
# In GEOS 3.0.0rc1-4 when the EWKB and/or HEXEWKB is exported,
# the SRID information is lost and set to -1 -- this is not a
# problem on the 3.0.0 version (another reason to upgrade).
exp_srid = self.null_srid
p2 = fromstr(p1.hex)
self.assertEqual(exp_srid, p2.srid)
p3 = fromstr(p1.hex, srid=-1) # -1 is intended.
self.assertEqual(-1, p3.srid)
def test16_mutable_geometries(self):
"Testing the mutability of Polygons and Geometry Collections."
### Testing the mutability of Polygons ###
for p in self.geometries.polygons:
poly = fromstr(p.wkt)
# Should only be able to use __setitem__ with LinearRing geometries.
self.assertRaises(TypeError, poly.__setitem__, 0, LineString((1, 1), (2, 2)))
# Constructing the new shell by adding 500 to every point in the old shell.
shell_tup = poly.shell.tuple
new_coords = []
for point in shell_tup: new_coords.append((point[0] + 500., point[1] + 500.))
new_shell = LinearRing(*tuple(new_coords))
# Assigning polygon's exterior ring w/the new shell
poly.exterior_ring = new_shell
s = str(new_shell) # new shell is still accessible
self.assertEqual(poly.exterior_ring, new_shell)
self.assertEqual(poly[0], new_shell)
### Testing the mutability of Geometry Collections
for tg in self.geometries.multipoints:
mp = fromstr(tg.wkt)
for i in range(len(mp)):
# Creating a random point.
pnt = mp[i]
new = Point(random.randint(1, 100), random.randint(1, 100))
# Testing the assignment
mp[i] = new
s = str(new) # what was used for the assignment is still accessible
self.assertEqual(mp[i], new)
self.assertEqual(mp[i].wkt, new.wkt)
self.assertNotEqual(pnt, mp[i])
# MultiPolygons involve much more memory management because each
# Polygon w/in the collection has its own rings.
for tg in self.geometries.multipolygons:
mpoly = fromstr(tg.wkt)
for i in xrange(len(mpoly)):
poly = mpoly[i]
old_poly = mpoly[i]
# Offsetting the each ring in the polygon by 500.
for j in xrange(len(poly)):
r = poly[j]
for k in xrange(len(r)): r[k] = (r[k][0] + 500., r[k][1] + 500.)
poly[j] = r
self.assertNotEqual(mpoly[i], poly)
# Testing the assignment
mpoly[i] = poly
s = str(poly) # Still accessible
self.assertEqual(mpoly[i], poly)
self.assertNotEqual(mpoly[i], old_poly)
# Extreme (!!) __setitem__ -- no longer works, have to detect
# in the first object that __setitem__ is called in the subsequent
# objects -- maybe mpoly[0, 0, 0] = (3.14, 2.71)?
#mpoly[0][0][0] = (3.14, 2.71)
#self.assertEqual((3.14, 2.71), mpoly[0][0][0])
# Doing it more slowly..
#self.assertEqual((3.14, 2.71), mpoly[0].shell[0])
#del mpoly
def test17_threed(self):
"Testing three-dimensional geometries."
# Testing a 3D Point
pnt = Point(2, 3, 8)
self.assertEqual((2.,3.,8.), pnt.coords)
self.assertRaises(TypeError, pnt.set_coords, (1.,2.))
pnt.coords = (1.,2.,3.)
self.assertEqual((1.,2.,3.), pnt.coords)
# Testing a 3D LineString
ls = LineString((2., 3., 8.), (50., 250., -117.))
self.assertEqual(((2.,3.,8.), (50.,250.,-117.)), ls.tuple)
self.assertRaises(TypeError, ls.__setitem__, 0, (1.,2.))
ls[0] = (1.,2.,3.)
self.assertEqual((1.,2.,3.), ls[0])
def test18_distance(self):
"Testing the distance() function."
# Distance to self should be 0.
pnt = Point(0, 0)
self.assertEqual(0.0, pnt.distance(Point(0, 0)))
# Distance should be 1
self.assertEqual(1.0, pnt.distance(Point(0, 1)))
# Distance should be ~ sqrt(2)
self.assertAlmostEqual(1.41421356237, pnt.distance(Point(1, 1)), 11)
# Distances are from the closest vertex in each geometry --
# should be 3 (distance from (2, 2) to (5, 2)).
ls1 = LineString((0, 0), (1, 1), (2, 2))
ls2 = LineString((5, 2), (6, 1), (7, 0))
self.assertEqual(3, ls1.distance(ls2))
def test19_length(self):
"Testing the length property."
# Points have 0 length.
pnt = Point(0, 0)
self.assertEqual(0.0, pnt.length)
# Should be ~ sqrt(2)
ls = LineString((0, 0), (1, 1))
self.assertAlmostEqual(1.41421356237, ls.length, 11)
# Should be circumfrence of Polygon
poly = Polygon(LinearRing((0, 0), (0, 1), (1, 1), (1, 0), (0, 0)))
self.assertEqual(4.0, poly.length)
# Should be sum of each element's length in collection.
mpoly = MultiPolygon(poly.clone(), poly)
self.assertEqual(8.0, mpoly.length)
def test20a_emptyCollections(self):
"Testing empty geometries and collections."
gc1 = GeometryCollection([])
gc2 = fromstr('GEOMETRYCOLLECTION EMPTY')
pnt = fromstr('POINT EMPTY')
ls = fromstr('LINESTRING EMPTY')
poly = fromstr('POLYGON EMPTY')
mls = fromstr('MULTILINESTRING EMPTY')
mpoly1 = fromstr('MULTIPOLYGON EMPTY')
mpoly2 = MultiPolygon(())
for g in [gc1, gc2, pnt, ls, poly, mls, mpoly1, mpoly2]:
self.assertEqual(True, g.empty)
# Testing len() and num_geom.
if isinstance(g, Polygon):
self.assertEqual(1, len(g)) # Has one empty linear ring
self.assertEqual(1, g.num_geom)
self.assertEqual(0, len(g[0]))
elif isinstance(g, (Point, LineString)):
self.assertEqual(1, g.num_geom)
self.assertEqual(0, len(g))
else:
self.assertEqual(0, g.num_geom)
self.assertEqual(0, len(g))
# Testing __getitem__ (doesn't work on Point or Polygon)
if isinstance(g, Point):
self.assertRaises(GEOSIndexError, g.get_x)
elif isinstance(g, Polygon):
lr = g.shell
self.assertEqual('LINEARRING EMPTY', lr.wkt)
self.assertEqual(0, len(lr))
self.assertEqual(True, lr.empty)
self.assertRaises(GEOSIndexError, lr.__getitem__, 0)
else:
self.assertRaises(GEOSIndexError, g.__getitem__, 0)
def test20b_collections_of_collections(self):
"Testing GeometryCollection handling of other collections."
# Creating a GeometryCollection WKT string composed of other
# collections and polygons.
coll = [mp.wkt for mp in self.geometries.multipolygons if mp.valid]
coll.extend([mls.wkt for mls in self.geometries.multilinestrings])
coll.extend([p.wkt for p in self.geometries.polygons])
coll.extend([mp.wkt for mp in self.geometries.multipoints])
gc_wkt = 'GEOMETRYCOLLECTION(%s)' % ','.join(coll)
# Should construct ok from WKT
gc1 = GEOSGeometry(gc_wkt)
# Should also construct ok from individual geometry arguments.
gc2 = GeometryCollection(*tuple(g for g in gc1))
# And, they should be equal.
self.assertEqual(gc1, gc2)
def test21_test_gdal(self):
"Testing `ogr` and `srs` properties."
if not gdal.HAS_GDAL: return
g1 = fromstr('POINT(5 23)')
self.assertEqual(True, isinstance(g1.ogr, gdal.OGRGeometry))
self.assertEqual(g1.srs, None)
g2 = fromstr('LINESTRING(0 0, 5 5, 23 23)', srid=4326)
self.assertEqual(True, isinstance(g2.ogr, gdal.OGRGeometry))
self.assertEqual(True, isinstance(g2.srs, gdal.SpatialReference))
self.assertEqual(g2.hex, g2.ogr.hex)
self.assertEqual('WGS 84', g2.srs.name)
def test22_copy(self):
"Testing use with the Python `copy` module."
import django.utils.copycompat as copy
poly = GEOSGeometry('POLYGON((0 0, 0 23, 23 23, 23 0, 0 0), (5 5, 5 10, 10 10, 10 5, 5 5))')
cpy1 = copy.copy(poly)
cpy2 = copy.deepcopy(poly)
self.assertNotEqual(poly._ptr, cpy1._ptr)
self.assertNotEqual(poly._ptr, cpy2._ptr)
def test23_transform(self):
"Testing `transform` method."
if not gdal.HAS_GDAL: return
orig = GEOSGeometry('POINT (-104.609 38.255)', 4326)
trans = GEOSGeometry('POINT (992385.4472045 481455.4944650)', 2774)
# Using a srid, a SpatialReference object, and a CoordTransform object
# for transformations.
t1, t2, t3 = orig.clone(), orig.clone(), orig.clone()
t1.transform(trans.srid)
t2.transform(gdal.SpatialReference('EPSG:2774'))
ct = gdal.CoordTransform(gdal.SpatialReference('WGS84'), gdal.SpatialReference(2774))
t3.transform(ct)
# Testing use of the `clone` keyword.
k1 = orig.clone()
k2 = k1.transform(trans.srid, clone=True)
self.assertEqual(k1, orig)
self.assertNotEqual(k1, k2)
prec = 3
for p in (t1, t2, t3, k2):
self.assertAlmostEqual(trans.x, p.x, prec)
self.assertAlmostEqual(trans.y, p.y, prec)
def test24_extent(self):
"Testing `extent` method."
# The xmin, ymin, xmax, ymax of the MultiPoint should be returned.
mp = MultiPoint(Point(5, 23), Point(0, 0), Point(10, 50))
self.assertEqual((0.0, 0.0, 10.0, 50.0), mp.extent)
pnt = Point(5.23, 17.8)
# Extent of points is just the point itself repeated.
self.assertEqual((5.23, 17.8, 5.23, 17.8), pnt.extent)
# Testing on the 'real world' Polygon.
poly = fromstr(self.geometries.polygons[3].wkt)
ring = poly.shell
x, y = ring.x, ring.y
xmin, ymin = min(x), min(y)
xmax, ymax = max(x), max(y)
self.assertEqual((xmin, ymin, xmax, ymax), poly.extent)
def test25_pickle(self):
"Testing pickling and unpickling support."
# Using both pickle and cPickle -- just 'cause.
import pickle, cPickle
# Creating a list of test geometries for pickling,
# and setting the SRID on some of them.
def get_geoms(lst, srid=None):
return [GEOSGeometry(tg.wkt, srid) for tg in lst]
tgeoms = get_geoms(self.geometries.points)
tgeoms.extend(get_geoms(self.geometries.multilinestrings, 4326))
tgeoms.extend(get_geoms(self.geometries.polygons, 3084))
tgeoms.extend(get_geoms(self.geometries.multipolygons, 900913))
# The SRID won't be exported in GEOS 3.0 release candidates.
no_srid = self.null_srid == -1
for geom in tgeoms:
s1, s2 = cPickle.dumps(geom), pickle.dumps(geom)
g1, g2 = cPickle.loads(s1), pickle.loads(s2)
for tmpg in (g1, g2):
self.assertEqual(geom, tmpg)
if not no_srid: self.assertEqual(geom.srid, tmpg.srid)
def test26_prepared(self):
"Testing PreparedGeometry support."
if not GEOS_PREPARE: return
# Creating a simple multipolygon and getting a prepared version.
mpoly = GEOSGeometry('MULTIPOLYGON(((0 0,0 5,5 5,5 0,0 0)),((5 5,5 10,10 10,10 5,5 5)))')
prep = mpoly.prepared
# A set of test points.
pnts = [Point(5, 5), Point(7.5, 7.5), Point(2.5, 7.5)]
covers = [True, True, False] # No `covers` op for regular GEOS geoms.
for pnt, c in zip(pnts, covers):
# Results should be the same (but faster)
self.assertEqual(mpoly.contains(pnt), prep.contains(pnt))
self.assertEqual(mpoly.intersects(pnt), prep.intersects(pnt))
self.assertEqual(c, prep.covers(pnt))
def test26_line_merge(self):
"Testing line merge support"
ref_geoms = (fromstr('LINESTRING(1 1, 1 1, 3 3)'),
fromstr('MULTILINESTRING((1 1, 3 3), (3 3, 4 2))'),
)
ref_merged = (fromstr('LINESTRING(1 1, 3 3)'),
fromstr('LINESTRING (1 1, 3 3, 4 2)'),
)
for geom, merged in zip(ref_geoms, ref_merged):
self.assertEqual(merged, geom.merged)
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(GEOSTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
| 38,341 | Python | .py | 789 | 37.121673 | 121 | 0.591741 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,602 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/tests/__init__.py | """
GEOS Testing module.
"""
from unittest import TestSuite, TextTestRunner
import test_geos, test_io, test_geos_mutation, test_mutable_list
test_suites = [
test_geos.suite(),
test_io.suite(),
test_geos_mutation.suite(),
test_mutable_list.suite(),
]
def suite():
"Builds a test suite for the GEOS tests."
s = TestSuite()
map(s.addTest, test_suites)
return s
def run(verbosity=1):
"Runs the GEOS tests."
TextTestRunner(verbosity=verbosity).run(suite())
if __name__ == '__main__':
run(2)
| 538 | Python | .py | 21 | 22.142857 | 64 | 0.676413 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,603 | test_geos_mutation.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/tests/test_geos_mutation.py | # Copyright (c) 2008-2009 Aryeh Leib Taurog, all rights reserved.
# Modified from original contribution by Aryeh Leib Taurog, which was
# released under the New BSD license.
import unittest
import django.utils.copycompat as copy
from django.contrib.gis.geos import *
from django.contrib.gis.geos.error import GEOSIndexError
def getItem(o,i): return o[i]
def delItem(o,i): del o[i]
def setItem(o,i,v): o[i] = v
def api_get_distance(x): return x.distance(Point(-200,-200))
def api_get_buffer(x): return x.buffer(10)
def api_get_geom_typeid(x): return x.geom_typeid
def api_get_num_coords(x): return x.num_coords
def api_get_centroid(x): return x.centroid
def api_get_empty(x): return x.empty
def api_get_valid(x): return x.valid
def api_get_simple(x): return x.simple
def api_get_ring(x): return x.ring
def api_get_boundary(x): return x.boundary
def api_get_convex_hull(x): return x.convex_hull
def api_get_extent(x): return x.extent
def api_get_area(x): return x.area
def api_get_length(x): return x.length
geos_function_tests = [ val for name, val in vars().items()
if hasattr(val, '__call__')
and name.startswith('api_get_') ]
class GEOSMutationTest(unittest.TestCase):
"""
Tests Pythonic Mutability of Python GEOS geometry wrappers
get/set/delitem on a slice, normal list methods
"""
def test00_GEOSIndexException(self):
'Testing Geometry GEOSIndexError'
p = Point(1,2)
for i in range(-2,2): p._checkindex(i)
self.assertRaises(GEOSIndexError, p._checkindex, 2)
self.assertRaises(GEOSIndexError, p._checkindex, -3)
def test01_PointMutations(self):
'Testing Point mutations'
for p in (Point(1,2,3), fromstr('POINT (1 2 3)')):
self.assertEqual(p._get_single_external(1), 2.0, 'Point _get_single_external')
# _set_single
p._set_single(0,100)
self.assertEqual(p.coords, (100.0,2.0,3.0), 'Point _set_single')
# _set_list
p._set_list(2,(50,3141))
self.assertEqual(p.coords, (50.0,3141.0), 'Point _set_list')
def test02_PointExceptions(self):
'Testing Point exceptions'
self.assertRaises(TypeError, Point, range(1))
self.assertRaises(TypeError, Point, range(4))
def test03_PointApi(self):
'Testing Point API'
q = Point(4,5,3)
for p in (Point(1,2,3), fromstr('POINT (1 2 3)')):
p[0:2] = [4,5]
for f in geos_function_tests:
self.assertEqual(f(q), f(p), 'Point ' + f.__name__)
def test04_LineStringMutations(self):
'Testing LineString mutations'
for ls in (LineString((1,0),(4,1),(6,-1)),
fromstr('LINESTRING (1 0,4 1,6 -1)')):
self.assertEqual(ls._get_single_external(1), (4.0,1.0), 'LineString _get_single_external')
# _set_single
ls._set_single(0,(-50,25))
self.assertEqual(ls.coords, ((-50.0,25.0),(4.0,1.0),(6.0,-1.0)), 'LineString _set_single')
# _set_list
ls._set_list(2, ((-50.0,25.0),(6.0,-1.0)))
self.assertEqual(ls.coords, ((-50.0,25.0),(6.0,-1.0)), 'LineString _set_list')
lsa = LineString(ls.coords)
for f in geos_function_tests:
self.assertEqual(f(lsa), f(ls), 'LineString ' + f.__name__)
def test05_Polygon(self):
'Testing Polygon mutations'
for pg in (Polygon(((1,0),(4,1),(6,-1),(8,10),(1,0)),
((5,4),(6,4),(6,3),(5,4))),
fromstr('POLYGON ((1 0,4 1,6 -1,8 10,1 0),(5 4,6 4,6 3,5 4))')):
self.assertEqual(pg._get_single_external(0),
LinearRing((1,0),(4,1),(6,-1),(8,10),(1,0)),
'Polygon _get_single_external(0)')
self.assertEqual(pg._get_single_external(1),
LinearRing((5,4),(6,4),(6,3),(5,4)),
'Polygon _get_single_external(1)')
# _set_list
pg._set_list(2, (((1,2),(10,0),(12,9),(-1,15),(1,2)),
((4,2),(5,2),(5,3),(4,2))))
self.assertEqual(pg.coords,
(((1.0,2.0),(10.0,0.0),(12.0,9.0),(-1.0,15.0),(1.0,2.0)),
((4.0,2.0),(5.0,2.0),(5.0,3.0),(4.0,2.0))),
'Polygon _set_list')
lsa = Polygon(*pg.coords)
for f in geos_function_tests:
self.assertEqual(f(lsa), f(pg), 'Polygon ' + f.__name__)
def test06_Collection(self):
'Testing Collection mutations'
for mp in (MultiPoint(*map(Point,((3,4),(-1,2),(5,-4),(2,8)))),
fromstr('MULTIPOINT (3 4,-1 2,5 -4,2 8)')):
self.assertEqual(mp._get_single_external(2), Point(5,-4), 'Collection _get_single_external')
mp._set_list(3, map(Point,((5,5),(3,-2),(8,1))))
self.assertEqual(mp.coords, ((5.0,5.0),(3.0,-2.0),(8.0,1.0)), 'Collection _set_list')
lsa = MultiPoint(*map(Point,((5,5),(3,-2),(8,1))))
for f in geos_function_tests:
self.assertEqual(f(lsa), f(mp), 'MultiPoint ' + f.__name__)
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(GEOSMutationTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
if __name__ == '__main__':
run()
| 5,446 | Python | .py | 112 | 38.651786 | 104 | 0.567715 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,604 | coordseq.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/coordseq.py | from ctypes import c_double, c_int, c_uint, POINTER
from django.contrib.gis.geos.libgeos import GEOM_PTR, CS_PTR
from django.contrib.gis.geos.prototypes.errcheck import last_arg_byref, GEOSException
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
## Error-checking routines specific to coordinate sequences. ##
def check_cs_ptr(result, func, cargs):
"Error checking on routines that return Geometries."
if not result:
raise GEOSException('Error encountered checking Coordinate Sequence returned from GEOS C function "%s".' % func.__name__)
return result
def check_cs_op(result, func, cargs):
"Checks the status code of a coordinate sequence operation."
if result == 0:
raise GEOSException('Could not set value on coordinate sequence')
else:
return result
def check_cs_get(result, func, cargs):
"Checking the coordinate sequence retrieval."
check_cs_op(result, func, cargs)
# Object in by reference, return its value.
return last_arg_byref(cargs)
## Coordinate sequence prototype generation functions. ##
def cs_int(func):
"For coordinate sequence routines that return an integer."
func.argtypes = [CS_PTR, POINTER(c_uint)]
func.restype = c_int
func.errcheck = check_cs_get
return func
def cs_operation(func, ordinate=False, get=False):
"For coordinate sequence operations."
if get:
# Get routines get double parameter passed-in by reference.
func.errcheck = check_cs_get
dbl_param = POINTER(c_double)
else:
func.errcheck = check_cs_op
dbl_param = c_double
if ordinate:
# Get/Set ordinate routines have an extra uint parameter.
func.argtypes = [CS_PTR, c_uint, c_uint, dbl_param]
else:
func.argtypes = [CS_PTR, c_uint, dbl_param]
func.restype = c_int
return func
def cs_output(func, argtypes):
"For routines that return a coordinate sequence."
func.argtypes = argtypes
func.restype = CS_PTR
func.errcheck = check_cs_ptr
return func
## Coordinate Sequence ctypes prototypes ##
# Coordinate Sequence constructors & cloning.
cs_clone = cs_output(GEOSFunc('GEOSCoordSeq_clone'), [CS_PTR])
create_cs = cs_output(GEOSFunc('GEOSCoordSeq_create'), [c_uint, c_uint])
get_cs = cs_output(GEOSFunc('GEOSGeom_getCoordSeq'), [GEOM_PTR])
# Getting, setting ordinate
cs_getordinate = cs_operation(GEOSFunc('GEOSCoordSeq_getOrdinate'), ordinate=True, get=True)
cs_setordinate = cs_operation(GEOSFunc('GEOSCoordSeq_setOrdinate'), ordinate=True)
# For getting, x, y, z
cs_getx = cs_operation(GEOSFunc('GEOSCoordSeq_getX'), get=True)
cs_gety = cs_operation(GEOSFunc('GEOSCoordSeq_getY'), get=True)
cs_getz = cs_operation(GEOSFunc('GEOSCoordSeq_getZ'), get=True)
# For setting, x, y, z
cs_setx = cs_operation(GEOSFunc('GEOSCoordSeq_setX'))
cs_sety = cs_operation(GEOSFunc('GEOSCoordSeq_setY'))
cs_setz = cs_operation(GEOSFunc('GEOSCoordSeq_setZ'))
# These routines return size & dimensions.
cs_getsize = cs_int(GEOSFunc('GEOSCoordSeq_getSize'))
cs_getdims = cs_int(GEOSFunc('GEOSCoordSeq_getDimensions'))
| 3,112 | Python | .py | 69 | 41.057971 | 129 | 0.732915 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,605 | io.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/io.py | import threading
from ctypes import byref, c_char_p, c_int, c_char, c_size_t, Structure, POINTER
from django.contrib.gis.geos.base import GEOSBase
from django.contrib.gis.geos.libgeos import GEOM_PTR
from django.contrib.gis.geos.prototypes.errcheck import check_geom, check_string, check_sized_string
from django.contrib.gis.geos.prototypes.geom import c_uchar_p, geos_char_p
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
### The WKB/WKT Reader/Writer structures and pointers ###
class WKTReader_st(Structure): pass
class WKTWriter_st(Structure): pass
class WKBReader_st(Structure): pass
class WKBWriter_st(Structure): pass
WKT_READ_PTR = POINTER(WKTReader_st)
WKT_WRITE_PTR = POINTER(WKTWriter_st)
WKB_READ_PTR = POINTER(WKBReader_st)
WKB_WRITE_PTR = POINTER(WKBReader_st)
### WKTReader routines ###
wkt_reader_create = GEOSFunc('GEOSWKTReader_create')
wkt_reader_create.restype = WKT_READ_PTR
wkt_reader_destroy = GEOSFunc('GEOSWKTReader_destroy')
wkt_reader_destroy.argtypes = [WKT_READ_PTR]
wkt_reader_read = GEOSFunc('GEOSWKTReader_read')
wkt_reader_read.argtypes = [WKT_READ_PTR, c_char_p]
wkt_reader_read.restype = GEOM_PTR
wkt_reader_read.errcheck = check_geom
### WKTWriter routines ###
wkt_writer_create = GEOSFunc('GEOSWKTWriter_create')
wkt_writer_create.restype = WKT_WRITE_PTR
wkt_writer_destroy = GEOSFunc('GEOSWKTWriter_destroy')
wkt_writer_destroy.argtypes = [WKT_WRITE_PTR]
wkt_writer_write = GEOSFunc('GEOSWKTWriter_write')
wkt_writer_write.argtypes = [WKT_WRITE_PTR, GEOM_PTR]
wkt_writer_write.restype = geos_char_p
wkt_writer_write.errcheck = check_string
### WKBReader routines ###
wkb_reader_create = GEOSFunc('GEOSWKBReader_create')
wkb_reader_create.restype = WKB_READ_PTR
wkb_reader_destroy = GEOSFunc('GEOSWKBReader_destroy')
wkb_reader_destroy.argtypes = [WKB_READ_PTR]
def wkb_read_func(func):
# Although the function definitions take `const unsigned char *`
# as their parameter, we use c_char_p here so the function may
# take Python strings directly as parameters. Inside Python there
# is not a difference between signed and unsigned characters, so
# it is not a problem.
func.argtypes = [WKB_READ_PTR, c_char_p, c_size_t]
func.restype = GEOM_PTR
func.errcheck = check_geom
return func
wkb_reader_read = wkb_read_func(GEOSFunc('GEOSWKBReader_read'))
wkb_reader_read_hex = wkb_read_func(GEOSFunc('GEOSWKBReader_readHEX'))
### WKBWriter routines ###
wkb_writer_create = GEOSFunc('GEOSWKBWriter_create')
wkb_writer_create.restype = WKB_WRITE_PTR
wkb_writer_destroy = GEOSFunc('GEOSWKBWriter_destroy')
wkb_writer_destroy.argtypes = [WKB_WRITE_PTR]
# WKB Writing prototypes.
def wkb_write_func(func):
func.argtypes = [WKB_WRITE_PTR, GEOM_PTR, POINTER(c_size_t)]
func.restype = c_uchar_p
func.errcheck = check_sized_string
return func
wkb_writer_write = wkb_write_func(GEOSFunc('GEOSWKBWriter_write'))
wkb_writer_write_hex = wkb_write_func(GEOSFunc('GEOSWKBWriter_writeHEX'))
# WKBWriter property getter/setter prototypes.
def wkb_writer_get(func, restype=c_int):
func.argtypes = [WKB_WRITE_PTR]
func.restype = restype
return func
def wkb_writer_set(func, argtype=c_int):
func.argtypes = [WKB_WRITE_PTR, argtype]
return func
wkb_writer_get_byteorder = wkb_writer_get(GEOSFunc('GEOSWKBWriter_getByteOrder'))
wkb_writer_set_byteorder = wkb_writer_set(GEOSFunc('GEOSWKBWriter_setByteOrder'))
wkb_writer_get_outdim = wkb_writer_get(GEOSFunc('GEOSWKBWriter_getOutputDimension'))
wkb_writer_set_outdim = wkb_writer_set(GEOSFunc('GEOSWKBWriter_setOutputDimension'))
wkb_writer_get_include_srid = wkb_writer_get(GEOSFunc('GEOSWKBWriter_getIncludeSRID'), restype=c_char)
wkb_writer_set_include_srid = wkb_writer_set(GEOSFunc('GEOSWKBWriter_setIncludeSRID'), argtype=c_char)
### Base I/O Class ###
class IOBase(GEOSBase):
"Base class for GEOS I/O objects."
def __init__(self):
# Getting the pointer with the constructor.
self.ptr = self._constructor()
def __del__(self):
# Cleaning up with the appropriate destructor.
if self._ptr: self._destructor(self._ptr)
### Base WKB/WKT Reading and Writing objects ###
# Non-public WKB/WKT reader classes for internal use because
# their `read` methods return _pointers_ instead of GEOSGeometry
# objects.
class _WKTReader(IOBase):
_constructor = wkt_reader_create
_destructor = wkt_reader_destroy
ptr_type = WKT_READ_PTR
def read(self, wkt):
if not isinstance(wkt, basestring): raise TypeError
return wkt_reader_read(self.ptr, wkt)
class _WKBReader(IOBase):
_constructor = wkb_reader_create
_destructor = wkb_reader_destroy
ptr_type = WKB_READ_PTR
def read(self, wkb):
"Returns a _pointer_ to C GEOS Geometry object from the given WKB."
if isinstance(wkb, buffer):
wkb_s = str(wkb)
return wkb_reader_read(self.ptr, wkb_s, len(wkb_s))
elif isinstance(wkb, basestring):
return wkb_reader_read_hex(self.ptr, wkb, len(wkb))
else:
raise TypeError
### WKB/WKT Writer Classes ###
class WKTWriter(IOBase):
_constructor = wkt_writer_create
_destructor = wkt_writer_destroy
ptr_type = WKT_WRITE_PTR
def write(self, geom):
"Returns the WKT representation of the given geometry."
return wkt_writer_write(self.ptr, geom.ptr)
class WKBWriter(IOBase):
_constructor = wkb_writer_create
_destructor = wkb_writer_destroy
ptr_type = WKB_WRITE_PTR
def write(self, geom):
"Returns the WKB representation of the given geometry."
return buffer(wkb_writer_write(self.ptr, geom.ptr, byref(c_size_t())))
def write_hex(self, geom):
"Returns the HEXEWKB representation of the given geometry."
return wkb_writer_write_hex(self.ptr, geom.ptr, byref(c_size_t()))
### WKBWriter Properties ###
# Property for getting/setting the byteorder.
def _get_byteorder(self):
return wkb_writer_get_byteorder(self.ptr)
def _set_byteorder(self, order):
if not order in (0, 1): raise ValueError('Byte order parameter must be 0 (Big Endian) or 1 (Little Endian).')
wkb_writer_set_byteorder(self.ptr, order)
byteorder = property(_get_byteorder, _set_byteorder)
# Property for getting/setting the output dimension.
def _get_outdim(self):
return wkb_writer_get_outdim(self.ptr)
def _set_outdim(self, new_dim):
if not new_dim in (2, 3): raise ValueError('WKB output dimension must be 2 or 3')
wkb_writer_set_outdim(self.ptr, new_dim)
outdim = property(_get_outdim, _set_outdim)
# Property for getting/setting the include srid flag.
def _get_include_srid(self):
return bool(ord(wkb_writer_get_include_srid(self.ptr)))
def _set_include_srid(self, include):
if bool(include): flag = chr(1)
else: flag = chr(0)
wkb_writer_set_include_srid(self.ptr, flag)
srid = property(_get_include_srid, _set_include_srid)
# `ThreadLocalIO` object holds instances of the WKT and WKB reader/writer
# objects that are local to the thread. The `GEOSGeometry` internals
# access these instances by calling the module-level functions, defined
# below.
class ThreadLocalIO(threading.local):
wkt_r = None
wkt_w = None
wkb_r = None
wkb_w = None
ewkb_w = None
ewkb_w3d = None
thread_context = ThreadLocalIO()
# These module-level routines return the I/O object that is local to the
# the thread. If the I/O object does not exist yet it will be initialized.
def wkt_r():
if not thread_context.wkt_r:
thread_context.wkt_r = _WKTReader()
return thread_context.wkt_r
def wkt_w():
if not thread_context.wkt_w:
thread_context.wkt_w = WKTWriter()
return thread_context.wkt_w
def wkb_r():
if not thread_context.wkb_r:
thread_context.wkb_r = _WKBReader()
return thread_context.wkb_r
def wkb_w():
if not thread_context.wkb_w:
thread_context.wkb_w = WKBWriter()
return thread_context.wkb_w
def ewkb_w():
if not thread_context.ewkb_w:
thread_context.ewkb_w = WKBWriter()
thread_context.ewkb_w.srid = True
return thread_context.ewkb_w
def ewkb_w3d():
if not thread_context.ewkb_w3d:
thread_context.ewkb_w3d = WKBWriter()
thread_context.ewkb_w3d.srid = True
thread_context.ewkb_w3d.outdim = 3
return thread_context.ewkb_w3d
| 8,473 | Python | .py | 193 | 39.528497 | 117 | 0.72312 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,606 | errcheck.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/errcheck.py | """
Error checking functions for GEOS ctypes prototype functions.
"""
import os
from ctypes import c_void_p, string_at, CDLL
from django.contrib.gis.geos.error import GEOSException
from django.contrib.gis.geos.libgeos import GEOS_VERSION
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
# Getting the `free` routine used to free the memory allocated for
# string pointers returned by GEOS.
if GEOS_VERSION >= (3, 1, 1):
# In versions 3.1.1 and above, `GEOSFree` was added to the C API
# because `free` isn't always available on all platforms.
free = GEOSFunc('GEOSFree')
free.argtypes = [c_void_p]
free.restype = None
else:
# Getting the `free` routine from the C library of the platform.
if os.name == 'nt':
# On NT, use the MS C library.
libc = CDLL('msvcrt')
else:
# On POSIX platforms C library is obtained by passing None into `CDLL`.
libc = CDLL(None)
free = libc.free
### ctypes error checking routines ###
def last_arg_byref(args):
"Returns the last C argument's value by reference."
return args[-1]._obj.value
def check_dbl(result, func, cargs):
"Checks the status code and returns the double value passed in by reference."
# Checking the status code
if result != 1: return None
# Double passed in by reference, return its value.
return last_arg_byref(cargs)
def check_geom(result, func, cargs):
"Error checking on routines that return Geometries."
if not result:
raise GEOSException('Error encountered checking Geometry returned from GEOS C function "%s".' % func.__name__)
return result
def check_minus_one(result, func, cargs):
"Error checking on routines that should not return -1."
if result == -1:
raise GEOSException('Error encountered in GEOS C function "%s".' % func.__name__)
else:
return result
def check_predicate(result, func, cargs):
"Error checking for unary/binary predicate functions."
val = ord(result) # getting the ordinal from the character
if val == 1: return True
elif val == 0: return False
else:
raise GEOSException('Error encountered on GEOS C predicate function "%s".' % func.__name__)
def check_sized_string(result, func, cargs):
"""
Error checking for routines that return explicitly sized strings.
This frees the memory allocated by GEOS at the result pointer.
"""
if not result:
raise GEOSException('Invalid string pointer returned by GEOS C function "%s"' % func.__name__)
# A c_size_t object is passed in by reference for the second
# argument on these routines, and its needed to determine the
# correct size.
s = string_at(result, last_arg_byref(cargs))
# Freeing the memory allocated within GEOS
free(result)
return s
def check_string(result, func, cargs):
"""
Error checking for routines that return strings.
This frees the memory allocated by GEOS at the result pointer.
"""
if not result: raise GEOSException('Error encountered checking string return value in GEOS C function "%s".' % func.__name__)
# Getting the string value at the pointer address.
s = string_at(result)
# Freeing the memory allocated within GEOS
free(result)
return s
def check_zero(result, func, cargs):
"Error checking on routines that should not return 0."
if result == 0:
raise GEOSException('Error encountered in GEOS C function "%s".' % func.__name__)
else:
return result
| 3,522 | Python | .py | 84 | 37.261905 | 129 | 0.703823 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,607 | predicates.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/predicates.py | """
This module houses the GEOS ctypes prototype functions for the
unary and binary predicate operations on geometries.
"""
from ctypes import c_char, c_char_p, c_double
from django.contrib.gis.geos.libgeos import GEOM_PTR
from django.contrib.gis.geos.prototypes.errcheck import check_predicate
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
## Binary & unary predicate functions ##
def binary_predicate(func, *args):
"For GEOS binary predicate functions."
argtypes = [GEOM_PTR, GEOM_PTR]
if args: argtypes += args
func.argtypes = argtypes
func.restype = c_char
func.errcheck = check_predicate
return func
def unary_predicate(func):
"For GEOS unary predicate functions."
func.argtypes = [GEOM_PTR]
func.restype = c_char
func.errcheck = check_predicate
return func
## Unary Predicates ##
geos_hasz = unary_predicate(GEOSFunc('GEOSHasZ'))
geos_isempty = unary_predicate(GEOSFunc('GEOSisEmpty'))
geos_isring = unary_predicate(GEOSFunc('GEOSisRing'))
geos_issimple = unary_predicate(GEOSFunc('GEOSisSimple'))
geos_isvalid = unary_predicate(GEOSFunc('GEOSisValid'))
## Binary Predicates ##
geos_contains = binary_predicate(GEOSFunc('GEOSContains'))
geos_crosses = binary_predicate(GEOSFunc('GEOSCrosses'))
geos_disjoint = binary_predicate(GEOSFunc('GEOSDisjoint'))
geos_equals = binary_predicate(GEOSFunc('GEOSEquals'))
geos_equalsexact = binary_predicate(GEOSFunc('GEOSEqualsExact'), c_double)
geos_intersects = binary_predicate(GEOSFunc('GEOSIntersects'))
geos_overlaps = binary_predicate(GEOSFunc('GEOSOverlaps'))
geos_relatepattern = binary_predicate(GEOSFunc('GEOSRelatePattern'), c_char_p)
geos_touches = binary_predicate(GEOSFunc('GEOSTouches'))
geos_within = binary_predicate(GEOSFunc('GEOSWithin'))
| 1,777 | Python | .py | 40 | 42.075 | 78 | 0.78015 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,608 | threadsafe.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/threadsafe.py | import threading
from django.contrib.gis.geos.libgeos import lgeos, notice_h, error_h, CONTEXT_PTR
class GEOSContextHandle(object):
"""
Python object representing a GEOS context handle.
"""
def __init__(self):
# Initializing the context handler for this thread with
# the notice and error handler.
self.ptr = lgeos.initGEOS_r(notice_h, error_h)
def __del__(self):
if self.ptr: lgeos.finishGEOS_r(self.ptr)
# Defining a thread-local object and creating an instance
# to hold a reference to GEOSContextHandle for this thread.
class GEOSContext(threading.local):
handle = None
thread_context = GEOSContext()
class GEOSFunc(object):
"""
Class that serves as a wrapper for GEOS C Functions, and will
use thread-safe function variants when available.
"""
def __init__(self, func_name):
try:
# GEOS thread-safe function signatures end with '_r', and
# take an additional context handle parameter.
self.cfunc = getattr(lgeos, func_name + '_r')
self.threaded = True
# Create a reference here to thread_context so it's not
# garbage-collected before an attempt to call this object.
self.thread_context = thread_context
except AttributeError:
# Otherwise, use usual function.
self.cfunc = getattr(lgeos, func_name)
self.threaded = False
def __call__(self, *args):
if self.threaded:
# If a context handle does not exist for this thread, initialize one.
if not self.thread_context.handle:
self.thread_context.handle = GEOSContextHandle()
# Call the threaded GEOS routine with pointer of the context handle
# as the first argument.
return self.cfunc(self.thread_context.handle.ptr, *args)
else:
return self.cfunc(*args)
def __str__(self):
return self.cfunc.__name__
# argtypes property
def _get_argtypes(self):
return self.cfunc.argtypes
def _set_argtypes(self, argtypes):
if self.threaded:
new_argtypes = [CONTEXT_PTR]
new_argtypes.extend(argtypes)
self.cfunc.argtypes = new_argtypes
else:
self.cfunc.argtypes = argtypes
argtypes = property(_get_argtypes, _set_argtypes)
# restype property
def _get_restype(self):
return self.cfunc.restype
def _set_restype(self, restype):
self.cfunc.restype = restype
restype = property(_get_restype, _set_restype)
# errcheck property
def _get_errcheck(self):
return self.cfunc.errcheck
def _set_errcheck(self, errcheck):
self.cfunc.errcheck = errcheck
errcheck = property(_get_errcheck, _set_errcheck)
| 2,824 | Python | .py | 70 | 32.2 | 81 | 0.649014 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,609 | prepared.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/prepared.py | from ctypes import c_char
from django.contrib.gis.geos.libgeos import GEOM_PTR, PREPGEOM_PTR
from django.contrib.gis.geos.prototypes.errcheck import check_predicate
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
# Prepared geometry constructor and destructors.
geos_prepare = GEOSFunc('GEOSPrepare')
geos_prepare.argtypes = [GEOM_PTR]
geos_prepare.restype = PREPGEOM_PTR
prepared_destroy = GEOSFunc('GEOSPreparedGeom_destroy')
prepared_destroy.argtpes = [PREPGEOM_PTR]
prepared_destroy.restype = None
# Prepared geometry binary predicate support.
def prepared_predicate(func):
func.argtypes= [PREPGEOM_PTR, GEOM_PTR]
func.restype = c_char
func.errcheck = check_predicate
return func
prepared_contains = prepared_predicate(GEOSFunc('GEOSPreparedContains'))
prepared_contains_properly = prepared_predicate(GEOSFunc('GEOSPreparedContainsProperly'))
prepared_covers = prepared_predicate(GEOSFunc('GEOSPreparedCovers'))
prepared_intersects = prepared_predicate(GEOSFunc('GEOSPreparedIntersects'))
| 1,032 | Python | .py | 21 | 47.190476 | 89 | 0.825223 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,610 | geom.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/geom.py | from ctypes import c_char_p, c_int, c_size_t, c_ubyte, c_uint, POINTER
from django.contrib.gis.geos.libgeos import CS_PTR, GEOM_PTR, PREPGEOM_PTR, GEOS_PREPARE
from django.contrib.gis.geos.prototypes.errcheck import \
check_geom, check_minus_one, check_sized_string, check_string, check_zero
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
# This is the return type used by binary output (WKB, HEX) routines.
c_uchar_p = POINTER(c_ubyte)
# We create a simple subclass of c_char_p here because when the response
# type is set to c_char_p, you get a _Python_ string and there's no way
# to access the string's address inside the error checking function.
# In other words, you can't free the memory allocated inside GEOS. Previously,
# the return type would just be omitted and the integer address would be
# used -- but this allows us to be specific in the function definition and
# keeps the reference so it may be free'd.
class geos_char_p(c_char_p):
pass
### ctypes generation functions ###
def bin_constructor(func):
"Generates a prototype for binary construction (HEX, WKB) GEOS routines."
func.argtypes = [c_char_p, c_size_t]
func.restype = GEOM_PTR
func.errcheck = check_geom
return func
# HEX & WKB output
def bin_output(func):
"Generates a prototype for the routines that return a a sized string."
func.argtypes = [GEOM_PTR, POINTER(c_size_t)]
func.errcheck = check_sized_string
func.restype = c_uchar_p
return func
def geom_output(func, argtypes):
"For GEOS routines that return a geometry."
if argtypes: func.argtypes = argtypes
func.restype = GEOM_PTR
func.errcheck = check_geom
return func
def geom_index(func):
"For GEOS routines that return geometries from an index."
return geom_output(func, [GEOM_PTR, c_int])
def int_from_geom(func, zero=False):
"Argument is a geometry, return type is an integer."
func.argtypes = [GEOM_PTR]
func.restype = c_int
if zero:
func.errcheck = check_zero
else:
func.errcheck = check_minus_one
return func
def string_from_geom(func):
"Argument is a Geometry, return type is a string."
func.argtypes = [GEOM_PTR]
func.restype = geos_char_p
func.errcheck = check_string
return func
### ctypes prototypes ###
# Deprecated creation routines from WKB, HEX, WKT
from_hex = bin_constructor(GEOSFunc('GEOSGeomFromHEX_buf'))
from_wkb = bin_constructor(GEOSFunc('GEOSGeomFromWKB_buf'))
from_wkt = geom_output(GEOSFunc('GEOSGeomFromWKT'), [c_char_p])
# Deprecated output routines
to_hex = bin_output(GEOSFunc('GEOSGeomToHEX_buf'))
to_wkb = bin_output(GEOSFunc('GEOSGeomToWKB_buf'))
to_wkt = string_from_geom(GEOSFunc('GEOSGeomToWKT'))
# The GEOS geometry type, typeid, num_coordites and number of geometries
geos_normalize = int_from_geom(GEOSFunc('GEOSNormalize'))
geos_type = string_from_geom(GEOSFunc('GEOSGeomType'))
geos_typeid = int_from_geom(GEOSFunc('GEOSGeomTypeId'))
get_dims = int_from_geom(GEOSFunc('GEOSGeom_getDimensions'), zero=True)
get_num_coords = int_from_geom(GEOSFunc('GEOSGetNumCoordinates'))
get_num_geoms = int_from_geom(GEOSFunc('GEOSGetNumGeometries'))
# Geometry creation factories
create_point = geom_output(GEOSFunc('GEOSGeom_createPoint'), [CS_PTR])
create_linestring = geom_output(GEOSFunc('GEOSGeom_createLineString'), [CS_PTR])
create_linearring = geom_output(GEOSFunc('GEOSGeom_createLinearRing'), [CS_PTR])
# Polygon and collection creation routines are special and will not
# have their argument types defined.
create_polygon = geom_output(GEOSFunc('GEOSGeom_createPolygon'), None)
create_collection = geom_output(GEOSFunc('GEOSGeom_createCollection'), None)
# Ring routines
get_extring = geom_output(GEOSFunc('GEOSGetExteriorRing'), [GEOM_PTR])
get_intring = geom_index(GEOSFunc('GEOSGetInteriorRingN'))
get_nrings = int_from_geom(GEOSFunc('GEOSGetNumInteriorRings'))
# Collection Routines
get_geomn = geom_index(GEOSFunc('GEOSGetGeometryN'))
# Cloning
geom_clone = GEOSFunc('GEOSGeom_clone')
geom_clone.argtypes = [GEOM_PTR]
geom_clone.restype = GEOM_PTR
# Destruction routine.
destroy_geom = GEOSFunc('GEOSGeom_destroy')
destroy_geom.argtypes = [GEOM_PTR]
destroy_geom.restype = None
# SRID routines
geos_get_srid = GEOSFunc('GEOSGetSRID')
geos_get_srid.argtypes = [GEOM_PTR]
geos_get_srid.restype = c_int
geos_set_srid = GEOSFunc('GEOSSetSRID')
geos_set_srid.argtypes = [GEOM_PTR, c_int]
geos_set_srid.restype = None
| 4,465 | Python | .py | 99 | 42.525253 | 88 | 0.757708 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,611 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/__init__.py | """
This module contains all of the GEOS ctypes function prototypes. Each
prototype handles the interaction between the GEOS library and Python
via ctypes.
"""
# Coordinate sequence routines.
from django.contrib.gis.geos.prototypes.coordseq import create_cs, get_cs, \
cs_clone, cs_getordinate, cs_setordinate, cs_getx, cs_gety, cs_getz, \
cs_setx, cs_sety, cs_setz, cs_getsize, cs_getdims
# Geometry routines.
from django.contrib.gis.geos.prototypes.geom import from_hex, from_wkb, from_wkt, \
create_point, create_linestring, create_linearring, create_polygon, create_collection, \
destroy_geom, get_extring, get_intring, get_nrings, get_geomn, geom_clone, \
geos_normalize, geos_type, geos_typeid, geos_get_srid, geos_set_srid, \
get_dims, get_num_coords, get_num_geoms, \
to_hex, to_wkb, to_wkt
# Miscellaneous routines.
from django.contrib.gis.geos.prototypes.misc import geos_area, geos_distance, geos_length
# Predicates
from django.contrib.gis.geos.prototypes.predicates import geos_hasz, geos_isempty, \
geos_isring, geos_issimple, geos_isvalid, geos_contains, geos_crosses, \
geos_disjoint, geos_equals, geos_equalsexact, geos_intersects, \
geos_intersects, geos_overlaps, geos_relatepattern, geos_touches, geos_within
# Topology routines
from django.contrib.gis.geos.prototypes.topology import *
| 1,355 | Python | .py | 25 | 51.28 | 92 | 0.768302 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,612 | misc.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/misc.py | """
This module is for the miscellaneous GEOS routines, particularly the
ones that return the area, distance, and length.
"""
from ctypes import c_int, c_double, POINTER
from django.contrib.gis.geos.libgeos import GEOM_PTR
from django.contrib.gis.geos.prototypes.errcheck import check_dbl
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
### ctypes generator function ###
def dbl_from_geom(func, num_geom=1):
"""
Argument is a Geometry, return type is double that is passed
in by reference as the last argument.
"""
argtypes = [GEOM_PTR for i in xrange(num_geom)]
argtypes += [POINTER(c_double)]
func.argtypes = argtypes
func.restype = c_int # Status code returned
func.errcheck = check_dbl
return func
### ctypes prototypes ###
# Area, distance, and length prototypes.
geos_area = dbl_from_geom(GEOSFunc('GEOSArea'))
geos_distance = dbl_from_geom(GEOSFunc('GEOSDistance'), num_geom=2)
geos_length = dbl_from_geom(GEOSFunc('GEOSLength'))
| 1,001 | Python | .py | 25 | 37.24 | 69 | 0.747174 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,613 | topology.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/geos/prototypes/topology.py | """
This module houses the GEOS ctypes prototype functions for the
topological operations on geometries.
"""
__all__ = ['geos_boundary', 'geos_buffer', 'geos_centroid', 'geos_convexhull',
'geos_difference', 'geos_envelope', 'geos_intersection',
'geos_linemerge', 'geos_pointonsurface', 'geos_preservesimplify',
'geos_simplify', 'geos_symdifference', 'geos_union', 'geos_relate']
from ctypes import c_char_p, c_double, c_int
from django.contrib.gis.geos.libgeos import GEOM_PTR, GEOS_PREPARE
from django.contrib.gis.geos.prototypes.errcheck import check_geom, check_string
from django.contrib.gis.geos.prototypes.geom import geos_char_p
from django.contrib.gis.geos.prototypes.threadsafe import GEOSFunc
def topology(func, *args):
"For GEOS unary topology functions."
argtypes = [GEOM_PTR]
if args: argtypes += args
func.argtypes = argtypes
func.restype = GEOM_PTR
func.errcheck = check_geom
return func
### Topology Routines ###
geos_boundary = topology(GEOSFunc('GEOSBoundary'))
geos_buffer = topology(GEOSFunc('GEOSBuffer'), c_double, c_int)
geos_centroid = topology(GEOSFunc('GEOSGetCentroid'))
geos_convexhull = topology(GEOSFunc('GEOSConvexHull'))
geos_difference = topology(GEOSFunc('GEOSDifference'), GEOM_PTR)
geos_envelope = topology(GEOSFunc('GEOSEnvelope'))
geos_intersection = topology(GEOSFunc('GEOSIntersection'), GEOM_PTR)
geos_linemerge = topology(GEOSFunc('GEOSLineMerge'))
geos_pointonsurface = topology(GEOSFunc('GEOSPointOnSurface'))
geos_preservesimplify = topology(GEOSFunc('GEOSTopologyPreserveSimplify'), c_double)
geos_simplify = topology(GEOSFunc('GEOSSimplify'), c_double)
geos_symdifference = topology(GEOSFunc('GEOSSymDifference'), GEOM_PTR)
geos_union = topology(GEOSFunc('GEOSUnion'), GEOM_PTR)
# GEOSRelate returns a string, not a geometry.
geos_relate = GEOSFunc('GEOSRelate')
geos_relate.argtypes = [GEOM_PTR, GEOM_PTR]
geos_relate.restype = geos_char_p
geos_relate.errcheck = check_string
# Routines only in GEOS 3.1+
if GEOS_PREPARE:
geos_cascaded_union = GEOSFunc('GEOSUnionCascaded')
geos_cascaded_union.argtypes = [GEOM_PTR]
geos_cascaded_union.restype = GEOM_PTR
__all__.append('geos_cascaded_union')
| 2,226 | Python | .py | 46 | 45.543478 | 84 | 0.761379 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,614 | proxy.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/proxy.py | """
The GeometryProxy object, allows for lazy-geometries. The proxy uses
Python descriptors for instantiating and setting Geometry objects
corresponding to geographic model fields.
Thanks to Robert Coup for providing this functionality (see #4322).
"""
class GeometryProxy(object):
def __init__(self, klass, field):
"""
Proxy initializes on the given Geometry class (not an instance) and
the GeometryField.
"""
self._field = field
self._klass = klass
def __get__(self, obj, type=None):
"""
This accessor retrieves the geometry, initializing it using the geometry
class specified during initialization and the HEXEWKB value of the field.
Currently, only GEOS or OGR geometries are supported.
"""
if obj is None:
# Accessed on a class, not an instance
return self
# Getting the value of the field.
geom_value = obj.__dict__[self._field.attname]
if isinstance(geom_value, self._klass):
geom = geom_value
elif (geom_value is None) or (geom_value==''):
geom = None
else:
# Otherwise, a Geometry object is built using the field's contents,
# and the model's corresponding attribute is set.
geom = self._klass(geom_value)
setattr(obj, self._field.attname, geom)
return geom
def __set__(self, obj, value):
"""
This accessor sets the proxied geometry with the geometry class
specified during initialization. Values of None, HEXEWKB, or WKT may
be used to set the geometry as well.
"""
# The OGC Geometry type of the field.
gtype = self._field.geom_type
# The geometry type must match that of the field -- unless the
# general GeometryField is used.
if isinstance(value, self._klass) and (str(value.geom_type).upper() == gtype or gtype == 'GEOMETRY'):
# Assigning the SRID to the geometry.
if value.srid is None: value.srid = self._field.srid
elif value is None or isinstance(value, (basestring, buffer)):
# Set with None, WKT, HEX, or WKB
pass
else:
raise TypeError('cannot set %s GeometryProxy with value of type: %s' % (obj.__class__.__name__, type(value)))
# Setting the objects dictionary with the value, and returning.
obj.__dict__[self._field.attname] = value
return value
| 2,512 | Python | .py | 56 | 36 | 121 | 0.63031 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,615 | manager.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/manager.py | from django.db.models.manager import Manager
from django.contrib.gis.db.models.query import GeoQuerySet
class GeoManager(Manager):
"Overrides Manager to return Geographic QuerySets."
# This manager should be used for queries on related fields
# so that geometry columns on Oracle and MySQL are selected
# properly.
use_for_related_fields = True
def get_query_set(self):
return GeoQuerySet(self.model, using=self._db)
def area(self, *args, **kwargs):
return self.get_query_set().area(*args, **kwargs)
def centroid(self, *args, **kwargs):
return self.get_query_set().centroid(*args, **kwargs)
def collect(self, *args, **kwargs):
return self.get_query_set().collect(*args, **kwargs)
def difference(self, *args, **kwargs):
return self.get_query_set().difference(*args, **kwargs)
def distance(self, *args, **kwargs):
return self.get_query_set().distance(*args, **kwargs)
def envelope(self, *args, **kwargs):
return self.get_query_set().envelope(*args, **kwargs)
def extent(self, *args, **kwargs):
return self.get_query_set().extent(*args, **kwargs)
def extent3d(self, *args, **kwargs):
return self.get_query_set().extent3d(*args, **kwargs)
def force_rhr(self, *args, **kwargs):
return self.get_query_set().force_rhr(*args, **kwargs)
def geohash(self, *args, **kwargs):
return self.get_query_set().geohash(*args, **kwargs)
def geojson(self, *args, **kwargs):
return self.get_query_set().geojson(*args, **kwargs)
def gml(self, *args, **kwargs):
return self.get_query_set().gml(*args, **kwargs)
def intersection(self, *args, **kwargs):
return self.get_query_set().intersection(*args, **kwargs)
def kml(self, *args, **kwargs):
return self.get_query_set().kml(*args, **kwargs)
def length(self, *args, **kwargs):
return self.get_query_set().length(*args, **kwargs)
def make_line(self, *args, **kwargs):
return self.get_query_set().make_line(*args, **kwargs)
def mem_size(self, *args, **kwargs):
return self.get_query_set().mem_size(*args, **kwargs)
def num_geom(self, *args, **kwargs):
return self.get_query_set().num_geom(*args, **kwargs)
def num_points(self, *args, **kwargs):
return self.get_query_set().num_points(*args, **kwargs)
def perimeter(self, *args, **kwargs):
return self.get_query_set().perimeter(*args, **kwargs)
def point_on_surface(self, *args, **kwargs):
return self.get_query_set().point_on_surface(*args, **kwargs)
def reverse_geom(self, *args, **kwargs):
return self.get_query_set().reverse_geom(*args, **kwargs)
def scale(self, *args, **kwargs):
return self.get_query_set().scale(*args, **kwargs)
def snap_to_grid(self, *args, **kwargs):
return self.get_query_set().snap_to_grid(*args, **kwargs)
def svg(self, *args, **kwargs):
return self.get_query_set().svg(*args, **kwargs)
def sym_difference(self, *args, **kwargs):
return self.get_query_set().sym_difference(*args, **kwargs)
def transform(self, *args, **kwargs):
return self.get_query_set().transform(*args, **kwargs)
def translate(self, *args, **kwargs):
return self.get_query_set().translate(*args, **kwargs)
def union(self, *args, **kwargs):
return self.get_query_set().union(*args, **kwargs)
def unionagg(self, *args, **kwargs):
return self.get_query_set().unionagg(*args, **kwargs)
| 3,578 | Python | .py | 70 | 44.042857 | 69 | 0.644317 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,616 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/__init__.py | # Want to get everything from the 'normal' models package.
from django.db.models import *
# Geographic aggregate functions
from django.contrib.gis.db.models.aggregates import *
# The GeoManager
from django.contrib.gis.db.models.manager import GeoManager
# The geographic-enabled fields.
from django.contrib.gis.db.models.fields import \
GeometryField, PointField, LineStringField, PolygonField, \
MultiPointField, MultiLineStringField, MultiPolygonField, \
GeometryCollectionField
| 499 | Python | .py | 11 | 42.727273 | 64 | 0.816495 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,617 | aggregates.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/aggregates.py | from django.db.models import Aggregate
from django.contrib.gis.db.models.sql import GeomField
class Collect(Aggregate):
name = 'Collect'
class Extent(Aggregate):
name = 'Extent'
class Extent3D(Aggregate):
name = 'Extent3D'
class MakeLine(Aggregate):
name = 'MakeLine'
class Union(Aggregate):
name = 'Union'
| 332 | Python | .py | 12 | 24.583333 | 54 | 0.752381 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,618 | query.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/query.py | from django.db import connections
from django.db.models.query import QuerySet, Q, ValuesQuerySet, ValuesListQuerySet
from django.contrib.gis.db.models import aggregates
from django.contrib.gis.db.models.fields import get_srid_info, GeometryField, PointField, LineStringField
from django.contrib.gis.db.models.sql import AreaField, DistanceField, GeomField, GeoQuery, GeoWhereNode
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Area, Distance
class GeoQuerySet(QuerySet):
"The Geographic QuerySet."
### Methods overloaded from QuerySet ###
def __init__(self, model=None, query=None, using=None):
super(GeoQuerySet, self).__init__(model=model, query=query, using=using)
self.query = query or GeoQuery(self.model)
def values(self, *fields):
return self._clone(klass=GeoValuesQuerySet, setup=True, _fields=fields)
def values_list(self, *fields, **kwargs):
flat = kwargs.pop('flat', False)
if kwargs:
raise TypeError('Unexpected keyword arguments to values_list: %s'
% (kwargs.keys(),))
if flat and len(fields) > 1:
raise TypeError("'flat' is not valid when values_list is called with more than one field.")
return self._clone(klass=GeoValuesListQuerySet, setup=True, flat=flat,
_fields=fields)
### GeoQuerySet Methods ###
def area(self, tolerance=0.05, **kwargs):
"""
Returns the area of the geographic field in an `area` attribute on
each element of this GeoQuerySet.
"""
# Peforming setup here rather than in `_spatial_attribute` so that
# we can get the units for `AreaField`.
procedure_args, geo_field = self._spatial_setup('area', field_name=kwargs.get('field_name', None))
s = {'procedure_args' : procedure_args,
'geo_field' : geo_field,
'setup' : False,
}
connection = connections[self.db]
backend = connection.ops
if backend.oracle:
s['procedure_fmt'] = '%(geo_col)s,%(tolerance)s'
s['procedure_args']['tolerance'] = tolerance
s['select_field'] = AreaField('sq_m') # Oracle returns area in units of meters.
elif backend.postgis or backend.spatialite:
if backend.geography:
# Geography fields support area calculation, returns square meters.
s['select_field'] = AreaField('sq_m')
elif not geo_field.geodetic(connection):
# Getting the area units of the geographic field.
s['select_field'] = AreaField(Area.unit_attname(geo_field.units_name(connection)))
else:
# TODO: Do we want to support raw number areas for geodetic fields?
raise Exception('Area on geodetic coordinate systems not supported.')
return self._spatial_attribute('area', s, **kwargs)
def centroid(self, **kwargs):
"""
Returns the centroid of the geographic field in a `centroid`
attribute on each element of this GeoQuerySet.
"""
return self._geom_attribute('centroid', **kwargs)
def collect(self, **kwargs):
"""
Performs an aggregate collect operation on the given geometry field.
This is analagous to a union operation, but much faster because
boundaries are not dissolved.
"""
return self._spatial_aggregate(aggregates.Collect, **kwargs)
def difference(self, geom, **kwargs):
"""
Returns the spatial difference of the geographic field in a `difference`
attribute on each element of this GeoQuerySet.
"""
return self._geomset_attribute('difference', geom, **kwargs)
def distance(self, geom, **kwargs):
"""
Returns the distance from the given geographic field name to the
given geometry in a `distance` attribute on each element of the
GeoQuerySet.
Keyword Arguments:
`spheroid` => If the geometry field is geodetic and PostGIS is
the spatial database, then the more accurate
spheroid calculation will be used instead of the
quicker sphere calculation.
`tolerance` => Used only for Oracle. The tolerance is
in meters -- a default of 5 centimeters (0.05)
is used.
"""
return self._distance_attribute('distance', geom, **kwargs)
def envelope(self, **kwargs):
"""
Returns a Geometry representing the bounding box of the
Geometry field in an `envelope` attribute on each element of
the GeoQuerySet.
"""
return self._geom_attribute('envelope', **kwargs)
def extent(self, **kwargs):
"""
Returns the extent (aggregate) of the features in the GeoQuerySet. The
extent will be returned as a 4-tuple, consisting of (xmin, ymin, xmax, ymax).
"""
return self._spatial_aggregate(aggregates.Extent, **kwargs)
def extent3d(self, **kwargs):
"""
Returns the aggregate extent, in 3D, of the features in the
GeoQuerySet. It is returned as a 6-tuple, comprising:
(xmin, ymin, zmin, xmax, ymax, zmax).
"""
return self._spatial_aggregate(aggregates.Extent3D, **kwargs)
def force_rhr(self, **kwargs):
"""
Returns a modified version of the Polygon/MultiPolygon in which
all of the vertices follow the Right-Hand-Rule. By default,
this is attached as the `force_rhr` attribute on each element
of the GeoQuerySet.
"""
return self._geom_attribute('force_rhr', **kwargs)
def geojson(self, precision=8, crs=False, bbox=False, **kwargs):
"""
Returns a GeoJSON representation of the geomtry field in a `geojson`
attribute on each element of the GeoQuerySet.
The `crs` and `bbox` keywords may be set to True if the users wants
the coordinate reference system and the bounding box to be included
in the GeoJSON representation of the geometry.
"""
backend = connections[self.db].ops
if not backend.geojson:
raise NotImplementedError('Only PostGIS 1.3.4+ supports GeoJSON serialization.')
if not isinstance(precision, (int, long)):
raise TypeError('Precision keyword must be set with an integer.')
# Setting the options flag -- which depends on which version of
# PostGIS we're using.
if backend.spatial_version >= (1, 4, 0):
options = 0
if crs and bbox: options = 3
elif bbox: options = 1
elif crs: options = 2
else:
options = 0
if crs and bbox: options = 3
elif crs: options = 1
elif bbox: options = 2
s = {'desc' : 'GeoJSON',
'procedure_args' : {'precision' : precision, 'options' : options},
'procedure_fmt' : '%(geo_col)s,%(precision)s,%(options)s',
}
return self._spatial_attribute('geojson', s, **kwargs)
def geohash(self, precision=20, **kwargs):
"""
Returns a GeoHash representation of the given field in a `geohash`
attribute on each element of the GeoQuerySet.
The `precision` keyword may be used to custom the number of
_characters_ used in the output GeoHash, the default is 20.
"""
s = {'desc' : 'GeoHash',
'procedure_args': {'precision': precision},
'procedure_fmt': '%(geo_col)s,%(precision)s',
}
return self._spatial_attribute('geohash', s, **kwargs)
def gml(self, precision=8, version=2, **kwargs):
"""
Returns GML representation of the given field in a `gml` attribute
on each element of the GeoQuerySet.
"""
backend = connections[self.db].ops
s = {'desc' : 'GML', 'procedure_args' : {'precision' : precision}}
if backend.postgis:
# PostGIS AsGML() aggregate function parameter order depends on the
# version -- uggh.
if backend.spatial_version > (1, 3, 1):
procedure_fmt = '%(version)s,%(geo_col)s,%(precision)s'
else:
procedure_fmt = '%(geo_col)s,%(precision)s,%(version)s'
s['procedure_args'] = {'precision' : precision, 'version' : version}
return self._spatial_attribute('gml', s, **kwargs)
def intersection(self, geom, **kwargs):
"""
Returns the spatial intersection of the Geometry field in
an `intersection` attribute on each element of this
GeoQuerySet.
"""
return self._geomset_attribute('intersection', geom, **kwargs)
def kml(self, **kwargs):
"""
Returns KML representation of the geometry field in a `kml`
attribute on each element of this GeoQuerySet.
"""
s = {'desc' : 'KML',
'procedure_fmt' : '%(geo_col)s,%(precision)s',
'procedure_args' : {'precision' : kwargs.pop('precision', 8)},
}
return self._spatial_attribute('kml', s, **kwargs)
def length(self, **kwargs):
"""
Returns the length of the geometry field as a `Distance` object
stored in a `length` attribute on each element of this GeoQuerySet.
"""
return self._distance_attribute('length', None, **kwargs)
def make_line(self, **kwargs):
"""
Creates a linestring from all of the PointField geometries in the
this GeoQuerySet and returns it. This is a spatial aggregate
method, and thus returns a geometry rather than a GeoQuerySet.
"""
return self._spatial_aggregate(aggregates.MakeLine, geo_field_type=PointField, **kwargs)
def mem_size(self, **kwargs):
"""
Returns the memory size (number of bytes) that the geometry field takes
in a `mem_size` attribute on each element of this GeoQuerySet.
"""
return self._spatial_attribute('mem_size', {}, **kwargs)
def num_geom(self, **kwargs):
"""
Returns the number of geometries if the field is a
GeometryCollection or Multi* Field in a `num_geom`
attribute on each element of this GeoQuerySet; otherwise
the sets with None.
"""
return self._spatial_attribute('num_geom', {}, **kwargs)
def num_points(self, **kwargs):
"""
Returns the number of points in the first linestring in the
Geometry field in a `num_points` attribute on each element of
this GeoQuerySet; otherwise sets with None.
"""
return self._spatial_attribute('num_points', {}, **kwargs)
def perimeter(self, **kwargs):
"""
Returns the perimeter of the geometry field as a `Distance` object
stored in a `perimeter` attribute on each element of this GeoQuerySet.
"""
return self._distance_attribute('perimeter', None, **kwargs)
def point_on_surface(self, **kwargs):
"""
Returns a Point geometry guaranteed to lie on the surface of the
Geometry field in a `point_on_surface` attribute on each element
of this GeoQuerySet; otherwise sets with None.
"""
return self._geom_attribute('point_on_surface', **kwargs)
def reverse_geom(self, **kwargs):
"""
Reverses the coordinate order of the geometry, and attaches as a
`reverse` attribute on each element of this GeoQuerySet.
"""
s = {'select_field' : GeomField(),}
kwargs.setdefault('model_att', 'reverse_geom')
if connections[self.db].ops.oracle:
s['geo_field_type'] = LineStringField
return self._spatial_attribute('reverse', s, **kwargs)
def scale(self, x, y, z=0.0, **kwargs):
"""
Scales the geometry to a new size by multiplying the ordinates
with the given x,y,z scale factors.
"""
if connections[self.db].ops.spatialite:
if z != 0.0:
raise NotImplementedError('SpatiaLite does not support 3D scaling.')
s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s',
'procedure_args' : {'x' : x, 'y' : y},
'select_field' : GeomField(),
}
else:
s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s,%(z)s',
'procedure_args' : {'x' : x, 'y' : y, 'z' : z},
'select_field' : GeomField(),
}
return self._spatial_attribute('scale', s, **kwargs)
def snap_to_grid(self, *args, **kwargs):
"""
Snap all points of the input geometry to the grid. How the
geometry is snapped to the grid depends on how many arguments
were given:
- 1 argument : A single size to snap both the X and Y grids to.
- 2 arguments: X and Y sizes to snap the grid to.
- 4 arguments: X, Y sizes and the X, Y origins.
"""
if False in [isinstance(arg, (float, int, long)) for arg in args]:
raise TypeError('Size argument(s) for the grid must be a float or integer values.')
nargs = len(args)
if nargs == 1:
size = args[0]
procedure_fmt = '%(geo_col)s,%(size)s'
procedure_args = {'size' : size}
elif nargs == 2:
xsize, ysize = args
procedure_fmt = '%(geo_col)s,%(xsize)s,%(ysize)s'
procedure_args = {'xsize' : xsize, 'ysize' : ysize}
elif nargs == 4:
xsize, ysize, xorigin, yorigin = args
procedure_fmt = '%(geo_col)s,%(xorigin)s,%(yorigin)s,%(xsize)s,%(ysize)s'
procedure_args = {'xsize' : xsize, 'ysize' : ysize,
'xorigin' : xorigin, 'yorigin' : yorigin}
else:
raise ValueError('Must provide 1, 2, or 4 arguments to `snap_to_grid`.')
s = {'procedure_fmt' : procedure_fmt,
'procedure_args' : procedure_args,
'select_field' : GeomField(),
}
return self._spatial_attribute('snap_to_grid', s, **kwargs)
def svg(self, relative=False, precision=8, **kwargs):
"""
Returns SVG representation of the geographic field in a `svg`
attribute on each element of this GeoQuerySet.
Keyword Arguments:
`relative` => If set to True, this will evaluate the path in
terms of relative moves (rather than absolute).
`precision` => May be used to set the maximum number of decimal
digits used in output (defaults to 8).
"""
relative = int(bool(relative))
if not isinstance(precision, (int, long)):
raise TypeError('SVG precision keyword argument must be an integer.')
s = {'desc' : 'SVG',
'procedure_fmt' : '%(geo_col)s,%(rel)s,%(precision)s',
'procedure_args' : {'rel' : relative,
'precision' : precision,
}
}
return self._spatial_attribute('svg', s, **kwargs)
def sym_difference(self, geom, **kwargs):
"""
Returns the symmetric difference of the geographic field in a
`sym_difference` attribute on each element of this GeoQuerySet.
"""
return self._geomset_attribute('sym_difference', geom, **kwargs)
def translate(self, x, y, z=0.0, **kwargs):
"""
Translates the geometry to a new location using the given numeric
parameters as offsets.
"""
if connections[self.db].ops.spatialite:
if z != 0.0:
raise NotImplementedError('SpatiaLite does not support 3D translation.')
s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s',
'procedure_args' : {'x' : x, 'y' : y},
'select_field' : GeomField(),
}
else:
s = {'procedure_fmt' : '%(geo_col)s,%(x)s,%(y)s,%(z)s',
'procedure_args' : {'x' : x, 'y' : y, 'z' : z},
'select_field' : GeomField(),
}
return self._spatial_attribute('translate', s, **kwargs)
def transform(self, srid=4326, **kwargs):
"""
Transforms the given geometry field to the given SRID. If no SRID is
provided, the transformation will default to using 4326 (WGS84).
"""
if not isinstance(srid, (int, long)):
raise TypeError('An integer SRID must be provided.')
field_name = kwargs.get('field_name', None)
tmp, geo_field = self._spatial_setup('transform', field_name=field_name)
# Getting the selection SQL for the given geographic field.
field_col = self._geocol_select(geo_field, field_name)
# Why cascading substitutions? Because spatial backends like
# Oracle and MySQL already require a function call to convert to text, thus
# when there's also a transformation we need to cascade the substitutions.
# For example, 'SDO_UTIL.TO_WKTGEOMETRY(SDO_CS.TRANSFORM( ... )'
geo_col = self.query.custom_select.get(geo_field, field_col)
# Setting the key for the field's column with the custom SELECT SQL to
# override the geometry column returned from the database.
custom_sel = '%s(%s, %s)' % (connections[self.db].ops.transform, geo_col, srid)
# TODO: Should we have this as an alias?
# custom_sel = '(%s(%s, %s)) AS %s' % (SpatialBackend.transform, geo_col, srid, qn(geo_field.name))
self.query.transformed_srid = srid # So other GeoQuerySet methods
self.query.custom_select[geo_field] = custom_sel
return self._clone()
def union(self, geom, **kwargs):
"""
Returns the union of the geographic field with the given
Geometry in a `union` attribute on each element of this GeoQuerySet.
"""
return self._geomset_attribute('union', geom, **kwargs)
def unionagg(self, **kwargs):
"""
Performs an aggregate union on the given geometry field. Returns
None if the GeoQuerySet is empty. The `tolerance` keyword is for
Oracle backends only.
"""
return self._spatial_aggregate(aggregates.Union, **kwargs)
### Private API -- Abstracted DRY routines. ###
def _spatial_setup(self, att, desc=None, field_name=None, geo_field_type=None):
"""
Performs set up for executing the spatial function.
"""
# Does the spatial backend support this?
connection = connections[self.db]
func = getattr(connection.ops, att, False)
if desc is None: desc = att
if not func:
raise NotImplementedError('%s stored procedure not available on '
'the %s backend.' %
(desc, connection.ops.name))
# Initializing the procedure arguments.
procedure_args = {'function' : func}
# Is there a geographic field in the model to perform this
# operation on?
geo_field = self.query._geo_field(field_name)
if not geo_field:
raise TypeError('%s output only available on GeometryFields.' % func)
# If the `geo_field_type` keyword was used, then enforce that
# type limitation.
if not geo_field_type is None and not isinstance(geo_field, geo_field_type):
raise TypeError('"%s" stored procedures may only be called on %ss.' % (func, geo_field_type.__name__))
# Setting the procedure args.
procedure_args['geo_col'] = self._geocol_select(geo_field, field_name)
return procedure_args, geo_field
def _spatial_aggregate(self, aggregate, field_name=None,
geo_field_type=None, tolerance=0.05):
"""
DRY routine for calling aggregate spatial stored procedures and
returning their result to the caller of the function.
"""
# Getting the field the geographic aggregate will be called on.
geo_field = self.query._geo_field(field_name)
if not geo_field:
raise TypeError('%s aggregate only available on GeometryFields.' % aggregate.name)
# Checking if there are any geo field type limitations on this
# aggregate (e.g. ST_Makeline only operates on PointFields).
if not geo_field_type is None and not isinstance(geo_field, geo_field_type):
raise TypeError('%s aggregate may only be called on %ss.' % (aggregate.name, geo_field_type.__name__))
# Getting the string expression of the field name, as this is the
# argument taken by `Aggregate` objects.
agg_col = field_name or geo_field.name
# Adding any keyword parameters for the Aggregate object. Oracle backends
# in particular need an additional `tolerance` parameter.
agg_kwargs = {}
if connections[self.db].ops.oracle: agg_kwargs['tolerance'] = tolerance
# Calling the QuerySet.aggregate, and returning only the value of the aggregate.
return self.aggregate(geoagg=aggregate(agg_col, **agg_kwargs))['geoagg']
def _spatial_attribute(self, att, settings, field_name=None, model_att=None):
"""
DRY routine for calling a spatial stored procedure on a geometry column
and attaching its output as an attribute of the model.
Arguments:
att:
The name of the spatial attribute that holds the spatial
SQL function to call.
settings:
Dictonary of internal settings to customize for the spatial procedure.
Public Keyword Arguments:
field_name:
The name of the geographic field to call the spatial
function on. May also be a lookup to a geometry field
as part of a foreign key relation.
model_att:
The name of the model attribute to attach the output of
the spatial function to.
"""
# Default settings.
settings.setdefault('desc', None)
settings.setdefault('geom_args', ())
settings.setdefault('geom_field', None)
settings.setdefault('procedure_args', {})
settings.setdefault('procedure_fmt', '%(geo_col)s')
settings.setdefault('select_params', [])
connection = connections[self.db]
backend = connection.ops
# Performing setup for the spatial column, unless told not to.
if settings.get('setup', True):
default_args, geo_field = self._spatial_setup(att, desc=settings['desc'], field_name=field_name,
geo_field_type=settings.get('geo_field_type', None))
for k, v in default_args.iteritems(): settings['procedure_args'].setdefault(k, v)
else:
geo_field = settings['geo_field']
# The attribute to attach to the model.
if not isinstance(model_att, basestring): model_att = att
# Special handling for any argument that is a geometry.
for name in settings['geom_args']:
# Using the field's get_placeholder() routine to get any needed
# transformation SQL.
geom = geo_field.get_prep_value(settings['procedure_args'][name])
params = geo_field.get_db_prep_lookup('contains', geom, connection=connection)
geom_placeholder = geo_field.get_placeholder(geom, connection)
# Replacing the procedure format with that of any needed
# transformation SQL.
old_fmt = '%%(%s)s' % name
new_fmt = geom_placeholder % '%%s'
settings['procedure_fmt'] = settings['procedure_fmt'].replace(old_fmt, new_fmt)
settings['select_params'].extend(params)
# Getting the format for the stored procedure.
fmt = '%%(function)s(%s)' % settings['procedure_fmt']
# If the result of this function needs to be converted.
if settings.get('select_field', False):
sel_fld = settings['select_field']
if isinstance(sel_fld, GeomField) and backend.select:
self.query.custom_select[model_att] = backend.select
if connection.ops.oracle:
sel_fld.empty_strings_allowed = False
self.query.extra_select_fields[model_att] = sel_fld
# Finally, setting the extra selection attribute with
# the format string expanded with the stored procedure
# arguments.
return self.extra(select={model_att : fmt % settings['procedure_args']},
select_params=settings['select_params'])
def _distance_attribute(self, func, geom=None, tolerance=0.05, spheroid=False, **kwargs):
"""
DRY routine for GeoQuerySet distance attribute routines.
"""
# Setting up the distance procedure arguments.
procedure_args, geo_field = self._spatial_setup(func, field_name=kwargs.get('field_name', None))
# If geodetic defaulting distance attribute to meters (Oracle and
# PostGIS spherical distances return meters). Otherwise, use the
# units of the geometry field.
connection = connections[self.db]
geodetic = geo_field.geodetic(connection)
geography = geo_field.geography
if geodetic:
dist_att = 'm'
else:
dist_att = Distance.unit_attname(geo_field.units_name(connection))
# Shortcut booleans for what distance function we're using and
# whether the geometry field is 3D.
distance = func == 'distance'
length = func == 'length'
perimeter = func == 'perimeter'
if not (distance or length or perimeter):
raise ValueError('Unknown distance function: %s' % func)
geom_3d = geo_field.dim == 3
# The field's get_db_prep_lookup() is used to get any
# extra distance parameters. Here we set up the
# parameters that will be passed in to field's function.
lookup_params = [geom or 'POINT (0 0)', 0]
# Getting the spatial backend operations.
backend = connection.ops
# If the spheroid calculation is desired, either by the `spheroid`
# keyword or when calculating the length of geodetic field, make
# sure the 'spheroid' distance setting string is passed in so we
# get the correct spatial stored procedure.
if spheroid or (backend.postgis and geodetic and
(not geography) and length):
lookup_params.append('spheroid')
lookup_params = geo_field.get_prep_value(lookup_params)
params = geo_field.get_db_prep_lookup('distance_lte', lookup_params, connection=connection)
# The `geom_args` flag is set to true if a geometry parameter was
# passed in.
geom_args = bool(geom)
if backend.oracle:
if distance:
procedure_fmt = '%(geo_col)s,%(geom)s,%(tolerance)s'
elif length or perimeter:
procedure_fmt = '%(geo_col)s,%(tolerance)s'
procedure_args['tolerance'] = tolerance
else:
# Getting whether this field is in units of degrees since the field may have
# been transformed via the `transform` GeoQuerySet method.
if self.query.transformed_srid:
u, unit_name, s = get_srid_info(self.query.transformed_srid, connection)
geodetic = unit_name in geo_field.geodetic_units
if backend.spatialite and geodetic:
raise ValueError('SQLite does not support linear distance calculations on geodetic coordinate systems.')
if distance:
if self.query.transformed_srid:
# Setting the `geom_args` flag to false because we want to handle
# transformation SQL here, rather than the way done by default
# (which will transform to the original SRID of the field rather
# than to what was transformed to).
geom_args = False
procedure_fmt = '%s(%%(geo_col)s, %s)' % (backend.transform, self.query.transformed_srid)
if geom.srid is None or geom.srid == self.query.transformed_srid:
# If the geom parameter srid is None, it is assumed the coordinates
# are in the transformed units. A placeholder is used for the
# geometry parameter. `GeomFromText` constructor is also needed
# to wrap geom placeholder for SpatiaLite.
if backend.spatialite:
procedure_fmt += ', %s(%%%%s, %s)' % (backend.from_text, self.query.transformed_srid)
else:
procedure_fmt += ', %%s'
else:
# We need to transform the geom to the srid specified in `transform()`,
# so wrapping the geometry placeholder in transformation SQL.
# SpatiaLite also needs geometry placeholder wrapped in `GeomFromText`
# constructor.
if backend.spatialite:
procedure_fmt += ', %s(%s(%%%%s, %s), %s)' % (backend.transform, backend.from_text,
geom.srid, self.query.transformed_srid)
else:
procedure_fmt += ', %s(%%%%s, %s)' % (backend.transform, self.query.transformed_srid)
else:
# `transform()` was not used on this GeoQuerySet.
procedure_fmt = '%(geo_col)s,%(geom)s'
if not geography and geodetic:
# Spherical distance calculation is needed (because the geographic
# field is geodetic). However, the PostGIS ST_distance_sphere/spheroid()
# procedures may only do queries from point columns to point geometries
# some error checking is required.
if not backend.geography:
if not isinstance(geo_field, PointField):
raise ValueError('Spherical distance calculation only supported on PointFields.')
if not str(Geometry(buffer(params[0].ewkb)).geom_type) == 'Point':
raise ValueError('Spherical distance calculation only supported with Point Geometry parameters')
# The `function` procedure argument needs to be set differently for
# geodetic distance calculations.
if spheroid:
# Call to distance_spheroid() requires spheroid param as well.
procedure_fmt += ",'%(spheroid)s'"
procedure_args.update({'function' : backend.distance_spheroid, 'spheroid' : params[1]})
else:
procedure_args.update({'function' : backend.distance_sphere})
elif length or perimeter:
procedure_fmt = '%(geo_col)s'
if not geography and geodetic and length:
# There's no `length_sphere`, and `length_spheroid` also
# works on 3D geometries.
procedure_fmt += ",'%(spheroid)s'"
procedure_args.update({'function' : backend.length_spheroid, 'spheroid' : params[1]})
elif geom_3d and backend.postgis:
# Use 3D variants of perimeter and length routines on PostGIS.
if perimeter:
procedure_args.update({'function' : backend.perimeter3d})
elif length:
procedure_args.update({'function' : backend.length3d})
# Setting up the settings for `_spatial_attribute`.
s = {'select_field' : DistanceField(dist_att),
'setup' : False,
'geo_field' : geo_field,
'procedure_args' : procedure_args,
'procedure_fmt' : procedure_fmt,
}
if geom_args:
s['geom_args'] = ('geom',)
s['procedure_args']['geom'] = geom
elif geom:
# The geometry is passed in as a parameter because we handled
# transformation conditions in this routine.
s['select_params'] = [backend.Adapter(geom)]
return self._spatial_attribute(func, s, **kwargs)
def _geom_attribute(self, func, tolerance=0.05, **kwargs):
"""
DRY routine for setting up a GeoQuerySet method that attaches a
Geometry attribute (e.g., `centroid`, `point_on_surface`).
"""
s = {'select_field' : GeomField(),}
if connections[self.db].ops.oracle:
s['procedure_fmt'] = '%(geo_col)s,%(tolerance)s'
s['procedure_args'] = {'tolerance' : tolerance}
return self._spatial_attribute(func, s, **kwargs)
def _geomset_attribute(self, func, geom, tolerance=0.05, **kwargs):
"""
DRY routine for setting up a GeoQuerySet method that attaches a
Geometry attribute and takes a Geoemtry parameter. This is used
for geometry set-like operations (e.g., intersection, difference,
union, sym_difference).
"""
s = {'geom_args' : ('geom',),
'select_field' : GeomField(),
'procedure_fmt' : '%(geo_col)s,%(geom)s',
'procedure_args' : {'geom' : geom},
}
if connections[self.db].ops.oracle:
s['procedure_fmt'] += ',%(tolerance)s'
s['procedure_args']['tolerance'] = tolerance
return self._spatial_attribute(func, s, **kwargs)
def _geocol_select(self, geo_field, field_name):
"""
Helper routine for constructing the SQL to select the geographic
column. Takes into account if the geographic field is in a
ForeignKey relation to the current model.
"""
opts = self.model._meta
if not geo_field in opts.fields:
# Is this operation going to be on a related geographic field?
# If so, it'll have to be added to the select related information
# (e.g., if 'location__point' was given as the field name).
self.query.add_select_related([field_name])
compiler = self.query.get_compiler(self.db)
compiler.pre_sql_setup()
rel_table, rel_col = self.query.related_select_cols[self.query.related_select_fields.index(geo_field)]
return compiler._field_column(geo_field, rel_table)
elif not geo_field in opts.local_fields:
# This geographic field is inherited from another model, so we have to
# use the db table for the _parent_ model instead.
tmp_fld, parent_model, direct, m2m = opts.get_field_by_name(geo_field.name)
return self.query.get_compiler(self.db)._field_column(geo_field, parent_model._meta.db_table)
else:
return self.query.get_compiler(self.db)._field_column(geo_field)
class GeoValuesQuerySet(ValuesQuerySet):
def __init__(self, *args, **kwargs):
super(GeoValuesQuerySet, self).__init__(*args, **kwargs)
# This flag tells `resolve_columns` to run the values through
# `convert_values`. This ensures that Geometry objects instead
# of string values are returned with `values()` or `values_list()`.
self.query.geo_values = True
class GeoValuesListQuerySet(GeoValuesQuerySet, ValuesListQuerySet):
pass
| 35,968 | Python | .py | 684 | 40.824561 | 124 | 0.601233 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,619 | fields.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/fields.py | from django.db.models.fields import Field
from django.db.models.sql.expressions import SQLEvaluator
from django.utils.translation import ugettext_lazy as _
from django.contrib.gis import forms
from django.contrib.gis.db.models.proxy import GeometryProxy
from django.contrib.gis.geometry.backend import Geometry, GeometryException
# Local cache of the spatial_ref_sys table, which holds SRID data for each
# spatial database alias. This cache exists so that the database isn't queried
# for SRID info each time a distance query is constructed.
_srid_cache = {}
def get_srid_info(srid, connection):
"""
Returns the units, unit name, and spheroid WKT associated with the
given SRID from the `spatial_ref_sys` (or equivalent) spatial database
table for the given database connection. These results are cached.
"""
global _srid_cache
try:
# The SpatialRefSys model for the spatial backend.
SpatialRefSys = connection.ops.spatial_ref_sys()
except NotImplementedError:
# No `spatial_ref_sys` table in spatial backend (e.g., MySQL).
return None, None, None
if not connection.alias in _srid_cache:
# Initialize SRID dictionary for database if it doesn't exist.
_srid_cache[connection.alias] = {}
if not srid in _srid_cache[connection.alias]:
# Use `SpatialRefSys` model to query for spatial reference info.
sr = SpatialRefSys.objects.using(connection.alias).get(srid=srid)
units, units_name = sr.units
spheroid = SpatialRefSys.get_spheroid(sr.wkt)
_srid_cache[connection.alias][srid] = (units, units_name, spheroid)
return _srid_cache[connection.alias][srid]
class GeometryField(Field):
"The base GIS field -- maps to the OpenGIS Specification Geometry type."
# The OpenGIS Geometry name.
geom_type = 'GEOMETRY'
# Geodetic units.
geodetic_units = ('Decimal Degree', 'degree')
description = _("The base GIS field -- maps to the OpenGIS Specification Geometry type.")
def __init__(self, verbose_name=None, srid=4326, spatial_index=True, dim=2,
geography=False, **kwargs):
"""
The initialization function for geometry fields. Takes the following
as keyword arguments:
srid:
The spatial reference system identifier, an OGC standard.
Defaults to 4326 (WGS84).
spatial_index:
Indicates whether to create a spatial index. Defaults to True.
Set this instead of 'db_index' for geographic fields since index
creation is different for geometry columns.
dim:
The number of dimensions for this geometry. Defaults to 2.
extent:
Customize the extent, in a 4-tuple of WGS 84 coordinates, for the
geometry field entry in the `USER_SDO_GEOM_METADATA` table. Defaults
to (-180.0, -90.0, 180.0, 90.0).
tolerance:
Define the tolerance, in meters, to use for the geometry field
entry in the `USER_SDO_GEOM_METADATA` table. Defaults to 0.05.
"""
# Setting the index flag with the value of the `spatial_index` keyword.
self.spatial_index = spatial_index
# Setting the SRID and getting the units. Unit information must be
# easily available in the field instance for distance queries.
self.srid = srid
# Setting the dimension of the geometry field.
self.dim = dim
# Setting the verbose_name keyword argument with the positional
# first parameter, so this works like normal fields.
kwargs['verbose_name'] = verbose_name
# Is this a geography rather than a geometry column?
self.geography = geography
# Oracle-specific private attributes for creating the entrie in
# `USER_SDO_GEOM_METADATA`
self._extent = kwargs.pop('extent', (-180.0, -90.0, 180.0, 90.0))
self._tolerance = kwargs.pop('tolerance', 0.05)
super(GeometryField, self).__init__(**kwargs)
# The following functions are used to get the units, their name, and
# the spheroid corresponding to the SRID of the GeometryField.
def _get_srid_info(self, connection):
# Get attributes from `get_srid_info`.
self._units, self._units_name, self._spheroid = get_srid_info(self.srid, connection)
def spheroid(self, connection):
if not hasattr(self, '_spheroid'):
self._get_srid_info(connection)
return self._spheroid
def units(self, connection):
if not hasattr(self, '_units'):
self._get_srid_info(connection)
return self._units
def units_name(self, connection):
if not hasattr(self, '_units_name'):
self._get_srid_info(connection)
return self._units_name
### Routines specific to GeometryField ###
def geodetic(self, connection):
"""
Returns true if this field's SRID corresponds with a coordinate
system that uses non-projected units (e.g., latitude/longitude).
"""
return self.units_name(connection) in self.geodetic_units
def get_distance(self, value, lookup_type, connection):
"""
Returns a distance number in units of the field. For example, if
`D(km=1)` was passed in and the units of the field were in meters,
then 1000 would be returned.
"""
return connection.ops.get_distance(self, value, lookup_type)
def get_prep_value(self, value):
"""
Spatial lookup values are either a parameter that is (or may be
converted to) a geometry, or a sequence of lookup values that
begins with a geometry. This routine will setup the geometry
value properly, and preserve any other lookup parameters before
returning to the caller.
"""
if isinstance(value, SQLEvaluator):
return value
elif isinstance(value, (tuple, list)):
geom = value[0]
seq_value = True
else:
geom = value
seq_value = False
# When the input is not a GEOS geometry, attempt to construct one
# from the given string input.
if isinstance(geom, Geometry):
pass
elif isinstance(geom, basestring) or hasattr(geom, '__geo_interface__'):
try:
geom = Geometry(geom)
except GeometryException:
raise ValueError('Could not create geometry from lookup value.')
else:
raise ValueError('Cannot use object with type %s for a geometry lookup parameter.' % type(geom).__name__)
# Assigning the SRID value.
geom.srid = self.get_srid(geom)
if seq_value:
lookup_val = [geom]
lookup_val.extend(value[1:])
return tuple(lookup_val)
else:
return geom
def get_srid(self, geom):
"""
Returns the default SRID for the given geometry, taking into account
the SRID set for the field. For example, if the input geometry
has no SRID, then that of the field will be returned.
"""
gsrid = geom.srid # SRID of given geometry.
if gsrid is None or self.srid == -1 or (gsrid == -1 and self.srid != -1):
return self.srid
else:
return gsrid
### Routines overloaded from Field ###
def contribute_to_class(self, cls, name):
super(GeometryField, self).contribute_to_class(cls, name)
# Setup for lazy-instantiated Geometry object.
setattr(cls, self.attname, GeometryProxy(Geometry, self))
def db_type(self, connection):
return connection.ops.geo_db_type(self)
def formfield(self, **kwargs):
defaults = {'form_class' : forms.GeometryField,
'null' : self.null,
'geom_type' : self.geom_type,
'srid' : self.srid,
}
defaults.update(kwargs)
return super(GeometryField, self).formfield(**defaults)
def get_db_prep_lookup(self, lookup_type, value, connection, prepared=False):
"""
Prepare for the database lookup, and return any spatial parameters
necessary for the query. This includes wrapping any geometry
parameters with a backend-specific adapter and formatting any distance
parameters into the correct units for the coordinate system of the
field.
"""
if lookup_type in connection.ops.gis_terms:
# special case for isnull lookup
if lookup_type == 'isnull':
return []
# Populating the parameters list, and wrapping the Geometry
# with the Adapter of the spatial backend.
if isinstance(value, (tuple, list)):
params = [connection.ops.Adapter(value[0])]
if lookup_type in connection.ops.distance_functions:
# Getting the distance parameter in the units of the field.
params += self.get_distance(value[1:], lookup_type, connection)
elif lookup_type in connection.ops.truncate_params:
# Lookup is one where SQL parameters aren't needed from the
# given lookup value.
pass
else:
params += value[1:]
elif isinstance(value, SQLEvaluator):
params = []
else:
params = [connection.ops.Adapter(value)]
return params
else:
raise ValueError('%s is not a valid spatial lookup for %s.' %
(lookup_type, self.__class__.__name__))
def get_prep_lookup(self, lookup_type, value):
if lookup_type == 'isnull':
return bool(value)
else:
return self.get_prep_value(value)
def get_db_prep_save(self, value, connection):
"Prepares the value for saving in the database."
if value is None:
return None
else:
return connection.ops.Adapter(self.get_prep_value(value))
def get_placeholder(self, value, connection):
"""
Returns the placeholder for the geometry column for the
given value.
"""
return connection.ops.get_geom_placeholder(self, value)
# The OpenGIS Geometry Type Fields
class PointField(GeometryField):
geom_type = 'POINT'
description = _("Point")
class LineStringField(GeometryField):
geom_type = 'LINESTRING'
description = _("Line string")
class PolygonField(GeometryField):
geom_type = 'POLYGON'
description = _("Polygon")
class MultiPointField(GeometryField):
geom_type = 'MULTIPOINT'
description = _("Multi-point")
class MultiLineStringField(GeometryField):
geom_type = 'MULTILINESTRING'
description = _("Multi-line string")
class MultiPolygonField(GeometryField):
geom_type = 'MULTIPOLYGON'
description = _("Multi polygon")
class GeometryCollectionField(GeometryField):
geom_type = 'GEOMETRYCOLLECTION'
description = _("Geometry collection")
| 11,157 | Python | .py | 243 | 36.73251 | 117 | 0.643929 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,620 | compiler.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/compiler.py | from itertools import izip
from django.db.backends.util import truncate_name
from django.db.models.sql import compiler
from django.db.models.sql.constants import TABLE_NAME
from django.db.models.sql.query import get_proxied_model
SQLCompiler = compiler.SQLCompiler
class GeoSQLCompiler(compiler.SQLCompiler):
def get_columns(self, with_aliases=False):
"""
Return the list of columns to use in the select statement. If no
columns have been specified, returns all columns relating to fields in
the model.
If 'with_aliases' is true, any column names that are duplicated
(without the table names) are given unique aliases. This is needed in
some cases to avoid ambiguitity with nested queries.
This routine is overridden from Query to handle customized selection of
geometry columns.
"""
qn = self.quote_name_unless_alias
qn2 = self.connection.ops.quote_name
result = ['(%s) AS %s' % (self.get_extra_select_format(alias) % col[0], qn2(alias))
for alias, col in self.query.extra_select.iteritems()]
aliases = set(self.query.extra_select.keys())
if with_aliases:
col_aliases = aliases.copy()
else:
col_aliases = set()
if self.query.select:
only_load = self.deferred_to_columns()
# This loop customized for GeoQuery.
for col, field in izip(self.query.select, self.query.select_fields):
if isinstance(col, (list, tuple)):
alias, column = col
table = self.query.alias_map[alias][TABLE_NAME]
if table in only_load and col not in only_load[table]:
continue
r = self.get_field_select(field, alias, column)
if with_aliases:
if col[1] in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s AS %s' % (r, c_alias))
aliases.add(c_alias)
col_aliases.add(c_alias)
else:
result.append('%s AS %s' % (r, qn2(col[1])))
aliases.add(r)
col_aliases.add(col[1])
else:
result.append(r)
aliases.add(r)
col_aliases.add(col[1])
else:
result.append(col.as_sql(qn, self.connection))
if hasattr(col, 'alias'):
aliases.add(col.alias)
col_aliases.add(col.alias)
elif self.query.default_cols:
cols, new_aliases = self.get_default_columns(with_aliases,
col_aliases)
result.extend(cols)
aliases.update(new_aliases)
max_name_length = self.connection.ops.max_name_length()
result.extend([
'%s%s' % (
self.get_extra_select_format(alias) % aggregate.as_sql(qn, self.connection),
alias is not None
and ' AS %s' % qn(truncate_name(alias, max_name_length))
or ''
)
for alias, aggregate in self.query.aggregate_select.items()
])
# This loop customized for GeoQuery.
for (table, col), field in izip(self.query.related_select_cols, self.query.related_select_fields):
r = self.get_field_select(field, table, col)
if with_aliases and col in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s AS %s' % (r, c_alias))
aliases.add(c_alias)
col_aliases.add(c_alias)
else:
result.append(r)
aliases.add(r)
col_aliases.add(col)
self._select_aliases = aliases
return result
def get_default_columns(self, with_aliases=False, col_aliases=None,
start_alias=None, opts=None, as_pairs=False, local_only=False):
"""
Computes the default columns for selecting every field in the base
model. Will sometimes be called to pull in related models (e.g. via
select_related), in which case "opts" and "start_alias" will be given
to provide a starting point for the traversal.
Returns a list of strings, quoted appropriately for use in SQL
directly, as well as a set of aliases used in the select statement (if
'as_pairs' is True, returns a list of (alias, col_name) pairs instead
of strings as the first component and None as the second component).
This routine is overridden from Query to handle customized selection of
geometry columns.
"""
result = []
if opts is None:
opts = self.query.model._meta
aliases = set()
only_load = self.deferred_to_columns()
# Skip all proxy to the root proxied model
proxied_model = get_proxied_model(opts)
if start_alias:
seen = {None: start_alias}
for field, model in opts.get_fields_with_model():
if local_only and model is not None:
continue
if start_alias:
try:
alias = seen[model]
except KeyError:
if model is proxied_model:
alias = start_alias
else:
link_field = opts.get_ancestor_link(model)
alias = self.query.join((start_alias, model._meta.db_table,
link_field.column, model._meta.pk.column))
seen[model] = alias
else:
# If we're starting from the base model of the queryset, the
# aliases will have already been set up in pre_sql_setup(), so
# we can save time here.
alias = self.query.included_inherited_models[model]
table = self.query.alias_map[alias][TABLE_NAME]
if table in only_load and field.column not in only_load[table]:
continue
if as_pairs:
result.append((alias, field.column))
aliases.add(alias)
continue
# This part of the function is customized for GeoQuery. We
# see if there was any custom selection specified in the
# dictionary, and set up the selection format appropriately.
field_sel = self.get_field_select(field, alias)
if with_aliases and field.column in col_aliases:
c_alias = 'Col%d' % len(col_aliases)
result.append('%s AS %s' % (field_sel, c_alias))
col_aliases.add(c_alias)
aliases.add(c_alias)
else:
r = field_sel
result.append(r)
aliases.add(r)
if with_aliases:
col_aliases.add(field.column)
return result, aliases
def resolve_columns(self, row, fields=()):
"""
This routine is necessary so that distances and geometries returned
from extra selection SQL get resolved appropriately into Python
objects.
"""
values = []
aliases = self.query.extra_select.keys()
if self.query.aggregates:
# If we have an aggregate annotation, must extend the aliases
# so their corresponding row values are included.
aliases.extend([None for i in xrange(len(self.query.aggregates))])
# Have to set a starting row number offset that is used for
# determining the correct starting row index -- needed for
# doing pagination with Oracle.
rn_offset = 0
if self.connection.ops.oracle:
if self.query.high_mark is not None or self.query.low_mark: rn_offset = 1
index_start = rn_offset + len(aliases)
# Converting any extra selection values (e.g., geometries and
# distance objects added by GeoQuerySet methods).
values = [self.query.convert_values(v,
self.query.extra_select_fields.get(a, None),
self.connection)
for v, a in izip(row[rn_offset:index_start], aliases)]
if self.connection.ops.oracle or getattr(self.query, 'geo_values', False):
# We resolve the rest of the columns if we're on Oracle or if
# the `geo_values` attribute is defined.
for value, field in map(None, row[index_start:], fields):
values.append(self.query.convert_values(value, field, connection=self.connection))
else:
values.extend(row[index_start:])
return tuple(values)
#### Routines unique to GeoQuery ####
def get_extra_select_format(self, alias):
sel_fmt = '%s'
if alias in self.query.custom_select:
sel_fmt = sel_fmt % self.query.custom_select[alias]
return sel_fmt
def get_field_select(self, field, alias=None, column=None):
"""
Returns the SELECT SQL string for the given field. Figures out
if any custom selection SQL is needed for the column The `alias`
keyword may be used to manually specify the database table where
the column exists, if not in the model associated with this
`GeoQuery`. Similarly, `column` may be used to specify the exact
column name, rather than using the `column` attribute on `field`.
"""
sel_fmt = self.get_select_format(field)
if field in self.query.custom_select:
field_sel = sel_fmt % self.query.custom_select[field]
else:
field_sel = sel_fmt % self._field_column(field, alias, column)
return field_sel
def get_select_format(self, fld):
"""
Returns the selection format string, depending on the requirements
of the spatial backend. For example, Oracle and MySQL require custom
selection formats in order to retrieve geometries in OGC WKT. For all
other fields a simple '%s' format string is returned.
"""
if self.connection.ops.select and hasattr(fld, 'geom_type'):
# This allows operations to be done on fields in the SELECT,
# overriding their values -- used by the Oracle and MySQL
# spatial backends to get database values as WKT, and by the
# `transform` method.
sel_fmt = self.connection.ops.select
# Because WKT doesn't contain spatial reference information,
# the SRID is prefixed to the returned WKT to ensure that the
# transformed geometries have an SRID different than that of the
# field -- this is only used by `transform` for Oracle and
# SpatiaLite backends.
if self.query.transformed_srid and ( self.connection.ops.oracle or
self.connection.ops.spatialite ):
sel_fmt = "'SRID=%d;'||%s" % (self.query.transformed_srid, sel_fmt)
else:
sel_fmt = '%s'
return sel_fmt
# Private API utilities, subject to change.
def _field_column(self, field, table_alias=None, column=None):
"""
Helper function that returns the database column for the given field.
The table and column are returned (quoted) in the proper format, e.g.,
`"geoapp_city"."point"`. If `table_alias` is not specified, the
database table associated with the model of this `GeoQuery` will be
used. If `column` is specified, it will be used instead of the value
in `field.column`.
"""
if table_alias is None: table_alias = self.query.model._meta.db_table
return "%s.%s" % (self.quote_name_unless_alias(table_alias),
self.connection.ops.quote_name(column or field.column))
class SQLInsertCompiler(compiler.SQLInsertCompiler, GeoSQLCompiler):
pass
class SQLDeleteCompiler(compiler.SQLDeleteCompiler, GeoSQLCompiler):
pass
class SQLUpdateCompiler(compiler.SQLUpdateCompiler, GeoSQLCompiler):
pass
class SQLAggregateCompiler(compiler.SQLAggregateCompiler, GeoSQLCompiler):
pass
class SQLDateCompiler(compiler.SQLDateCompiler, GeoSQLCompiler):
pass
| 12,579 | Python | .py | 251 | 37.01992 | 106 | 0.589058 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,621 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/__init__.py | from django.contrib.gis.db.models.sql.conversion import AreaField, DistanceField, GeomField
from django.contrib.gis.db.models.sql.query import GeoQuery
from django.contrib.gis.db.models.sql.where import GeoWhereNode
| 216 | Python | .py | 3 | 71 | 91 | 0.85446 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,622 | aggregates.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/aggregates.py | from django.db.models.sql.aggregates import *
from django.contrib.gis.db.models.fields import GeometryField
from django.contrib.gis.db.models.sql.conversion import GeomField
class GeoAggregate(Aggregate):
# Default SQL template for spatial aggregates.
sql_template = '%(function)s(%(field)s)'
# Conversion class, if necessary.
conversion_class = None
# Flags for indicating the type of the aggregate.
is_extent = False
def __init__(self, col, source=None, is_summary=False, tolerance=0.05, **extra):
super(GeoAggregate, self).__init__(col, source, is_summary, **extra)
# Required by some Oracle aggregates.
self.tolerance = tolerance
# Can't use geographic aggregates on non-geometry fields.
if not isinstance(self.source, GeometryField):
raise ValueError('Geospatial aggregates only allowed on geometry fields.')
def as_sql(self, qn, connection):
"Return the aggregate, rendered as SQL."
if connection.ops.oracle:
self.extra['tolerance'] = self.tolerance
if hasattr(self.col, 'as_sql'):
field_name = self.col.as_sql(qn, connection)
elif isinstance(self.col, (list, tuple)):
field_name = '.'.join([qn(c) for c in self.col])
else:
field_name = self.col
sql_template, sql_function = connection.ops.spatial_aggregate_sql(self)
params = {
'function': sql_function,
'field': field_name
}
params.update(self.extra)
return sql_template % params
class Collect(GeoAggregate):
pass
class Extent(GeoAggregate):
is_extent = '2D'
class Extent3D(GeoAggregate):
is_extent = '3D'
class MakeLine(GeoAggregate):
pass
class Union(GeoAggregate):
pass
| 1,804 | Python | .py | 44 | 33.795455 | 86 | 0.668962 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,623 | query.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/query.py | from django.db import connections
from django.db.models.query import sql
from django.contrib.gis.db.models.fields import GeometryField
from django.contrib.gis.db.models.sql import aggregates as gis_aggregates
from django.contrib.gis.db.models.sql.conversion import AreaField, DistanceField, GeomField
from django.contrib.gis.db.models.sql.where import GeoWhereNode
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Area, Distance
ALL_TERMS = dict([(x, None) for x in (
'bbcontains', 'bboverlaps', 'contained', 'contains',
'contains_properly', 'coveredby', 'covers', 'crosses', 'disjoint',
'distance_gt', 'distance_gte', 'distance_lt', 'distance_lte',
'dwithin', 'equals', 'exact',
'intersects', 'overlaps', 'relate', 'same_as', 'touches', 'within',
'left', 'right', 'overlaps_left', 'overlaps_right',
'overlaps_above', 'overlaps_below',
'strictly_above', 'strictly_below'
)])
ALL_TERMS.update(sql.constants.QUERY_TERMS)
class GeoQuery(sql.Query):
"""
A single spatial SQL query.
"""
# Overridding the valid query terms.
query_terms = ALL_TERMS
aggregates_module = gis_aggregates
compiler = 'GeoSQLCompiler'
#### Methods overridden from the base Query class ####
def __init__(self, model, where=GeoWhereNode):
super(GeoQuery, self).__init__(model, where)
# The following attributes are customized for the GeoQuerySet.
# The GeoWhereNode and SpatialBackend classes contain backend-specific
# routines and functions.
self.custom_select = {}
self.transformed_srid = None
self.extra_select_fields = {}
def clone(self, *args, **kwargs):
obj = super(GeoQuery, self).clone(*args, **kwargs)
# Customized selection dictionary and transformed srid flag have
# to also be added to obj.
obj.custom_select = self.custom_select.copy()
obj.transformed_srid = self.transformed_srid
obj.extra_select_fields = self.extra_select_fields.copy()
return obj
def convert_values(self, value, field, connection):
"""
Using the same routines that Oracle does we can convert our
extra selection objects into Geometry and Distance objects.
TODO: Make converted objects 'lazy' for less overhead.
"""
if connection.ops.oracle:
# Running through Oracle's first.
value = super(GeoQuery, self).convert_values(value, field or GeomField(), connection)
if value is None:
# Output from spatial function is NULL (e.g., called
# function on a geometry field with NULL value).
pass
elif isinstance(field, DistanceField):
# Using the field's distance attribute, can instantiate
# `Distance` with the right context.
value = Distance(**{field.distance_att : value})
elif isinstance(field, AreaField):
value = Area(**{field.area_att : value})
elif isinstance(field, (GeomField, GeometryField)) and value:
value = Geometry(value)
return value
def get_aggregation(self, using):
# Remove any aggregates marked for reduction from the subquery
# and move them to the outer AggregateQuery.
connection = connections[using]
for alias, aggregate in self.aggregate_select.items():
if isinstance(aggregate, gis_aggregates.GeoAggregate):
if not getattr(aggregate, 'is_extent', False) or connection.ops.oracle:
self.extra_select_fields[alias] = GeomField()
return super(GeoQuery, self).get_aggregation(using)
def resolve_aggregate(self, value, aggregate, connection):
"""
Overridden from GeoQuery's normalize to handle the conversion of
GeoAggregate objects.
"""
if isinstance(aggregate, self.aggregates_module.GeoAggregate):
if aggregate.is_extent:
if aggregate.is_extent == '3D':
return connection.ops.convert_extent3d(value)
else:
return connection.ops.convert_extent(value)
else:
return connection.ops.convert_geom(value, aggregate.source)
else:
return super(GeoQuery, self).resolve_aggregate(value, aggregate, connection)
# Private API utilities, subject to change.
def _geo_field(self, field_name=None):
"""
Returns the first Geometry field encountered; or specified via the
`field_name` keyword. The `field_name` may be a string specifying
the geometry field on this GeoQuery's model, or a lookup string
to a geometry field via a ForeignKey relation.
"""
if field_name is None:
# Incrementing until the first geographic field is found.
for fld in self.model._meta.fields:
if isinstance(fld, GeometryField): return fld
return False
else:
# Otherwise, check by the given field name -- which may be
# a lookup to a _related_ geographic field.
return GeoWhereNode._check_geo_field(self.model._meta, field_name)
| 5,314 | Python | .py | 107 | 40.140187 | 97 | 0.651973 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,624 | conversion.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/conversion.py | """
This module holds simple classes used by GeoQuery.convert_values
to convert geospatial values from the database.
"""
class BaseField(object):
empty_strings_allowed = True
def get_internal_type(self):
"Overloaded method so OracleQuery.convert_values doesn't balk."
return None
class AreaField(BaseField):
"Wrapper for Area values."
def __init__(self, area_att):
self.area_att = area_att
class DistanceField(BaseField):
"Wrapper for Distance values."
def __init__(self, distance_att):
self.distance_att = distance_att
class GeomField(BaseField):
"""
Wrapper for Geometry values. It is a lightweight alternative to
using GeometryField (which requires a SQL query upon instantiation).
"""
pass
| 776 | Python | .py | 23 | 29.217391 | 72 | 0.716956 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,625 | where.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/models/sql/where.py | from django.db.models.fields import Field, FieldDoesNotExist
from django.db.models.sql.constants import LOOKUP_SEP
from django.db.models.sql.expressions import SQLEvaluator
from django.db.models.sql.where import Constraint, WhereNode
from django.contrib.gis.db.models.fields import GeometryField
class GeoConstraint(Constraint):
"""
This subclass overrides `process` to better handle geographic SQL
construction.
"""
def __init__(self, init_constraint):
self.alias = init_constraint.alias
self.col = init_constraint.col
self.field = init_constraint.field
def process(self, lookup_type, value, connection):
if isinstance(value, SQLEvaluator):
# Make sure the F Expression destination field exists, and
# set an `srid` attribute with the same as that of the
# destination.
geo_fld = GeoWhereNode._check_geo_field(value.opts, value.expression.name)
if not geo_fld:
raise ValueError('No geographic field found in expression.')
value.srid = geo_fld.srid
db_type = self.field.db_type(connection=connection)
params = self.field.get_db_prep_lookup(lookup_type, value, connection=connection)
return (self.alias, self.col, db_type), params
class GeoWhereNode(WhereNode):
"""
Used to represent the SQL where-clause for spatial databases --
these are tied to the GeoQuery class that created it.
"""
def add(self, data, connector):
if isinstance(data, (list, tuple)):
obj, lookup_type, value = data
if ( isinstance(obj, Constraint) and
isinstance(obj.field, GeometryField) ):
data = (GeoConstraint(obj), lookup_type, value)
super(GeoWhereNode, self).add(data, connector)
def make_atom(self, child, qn, connection):
lvalue, lookup_type, value_annot, params_or_value = child
if isinstance(lvalue, GeoConstraint):
data, params = lvalue.process(lookup_type, params_or_value, connection)
spatial_sql = connection.ops.spatial_lookup_sql(data, lookup_type, params_or_value, lvalue.field, qn)
return spatial_sql, params
else:
return super(GeoWhereNode, self).make_atom(child, qn, connection)
@classmethod
def _check_geo_field(cls, opts, lookup):
"""
Utility for checking the given lookup with the given model options.
The lookup is a string either specifying the geographic field, e.g.
'point, 'the_geom', or a related lookup on a geographic field like
'address__point'.
If a GeometryField exists according to the given lookup on the model
options, it will be returned. Otherwise returns None.
"""
# This takes into account the situation where the lookup is a
# lookup to a related geographic field, e.g., 'address__point'.
field_list = lookup.split(LOOKUP_SEP)
# Reversing so list operates like a queue of related lookups,
# and popping the top lookup.
field_list.reverse()
fld_name = field_list.pop()
try:
geo_fld = opts.get_field(fld_name)
# If the field list is still around, then it means that the
# lookup was for a geometry field across a relationship --
# thus we keep on getting the related model options and the
# model field associated with the next field in the list
# until there's no more left.
while len(field_list):
opts = geo_fld.rel.to._meta
geo_fld = opts.get_field(field_list.pop())
except (FieldDoesNotExist, AttributeError):
return False
# Finally, make sure we got a Geographic field and return.
if isinstance(geo_fld, GeometryField):
return geo_fld
else:
return False
| 3,938 | Python | .py | 80 | 39.9 | 113 | 0.656015 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,626 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backend/__init__.py | from django.db import connection
if hasattr(connection.ops, 'spatial_version'):
from warnings import warn
warn('The `django.contrib.gis.db.backend` module was refactored and '
'renamed to `django.contrib.gis.db.backends` in 1.2. '
'All functionality of `SpatialBackend` '
'has been moved to the `ops` attribute of the spatial database '
'backend. A `SpatialBackend` alias is provided here for '
'backwards-compatibility, but will be removed in 1.3.')
SpatialBackend = connection.ops
| 543 | Python | .py | 10 | 47.5 | 73 | 0.701128 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,627 | util.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/util.py | """
A collection of utility routines and classes used by the spatial
backends.
"""
def gqn(val):
"""
The geographic quote name function; used for quoting tables and
geometries (they use single rather than the double quotes of the
backend quotename function).
"""
if isinstance(val, basestring):
if isinstance(val, unicode): val = val.encode('ascii')
return "'%s'" % val
else:
return str(val)
class SpatialOperation(object):
"""
Base class for generating spatial SQL.
"""
sql_template = '%(geo_col)s %(operator)s %(geometry)s'
def __init__(self, function='', operator='', result='', **kwargs):
self.function = function
self.operator = operator
self.result = result
self.extra = kwargs
def as_sql(self, geo_col, geometry='%s'):
return self.sql_template % self.params(geo_col, geometry)
def params(self, geo_col, geometry):
params = {'function' : self.function,
'geo_col' : geo_col,
'geometry' : geometry,
'operator' : self.operator,
'result' : self.result,
}
params.update(self.extra)
return params
class SpatialFunction(SpatialOperation):
"""
Base class for generating spatial SQL related to a function.
"""
sql_template = '%(function)s(%(geo_col)s, %(geometry)s)'
def __init__(self, func, result='', operator='', **kwargs):
# Getting the function prefix.
default = {'function' : func,
'operator' : operator,
'result' : result
}
kwargs.update(default)
super(SpatialFunction, self).__init__(**kwargs)
| 1,749 | Python | .py | 49 | 27.55102 | 70 | 0.590077 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,628 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/base.py | """
Base/mixin classes for the spatial backend database operations and the
`SpatialRefSys` model the backend.
"""
import re
from django.conf import settings
from django.contrib.gis import gdal
class BaseSpatialOperations(object):
"""
This module holds the base `BaseSpatialBackend` object, which is
instantiated by each spatial database backend with the features
it has.
"""
distance_functions = {}
geometry_functions = {}
geometry_operators = {}
geography_operators = {}
geography_functions = {}
gis_terms = {}
truncate_params = {}
# Quick booleans for the type of this spatial backend, and
# an attribute for the spatial database version tuple (if applicable)
postgis = False
spatialite = False
mysql = False
oracle = False
spatial_version = None
# How the geometry column should be selected.
select = None
# Does the spatial database have a geography type?
geography = False
area = False
centroid = False
difference = False
distance = False
distance_sphere = False
distance_spheroid = False
envelope = False
force_rhr = False
mem_size = False
bounding_circle = False
num_geom = False
num_points = False
perimeter = False
perimeter3d = False
point_on_surface = False
polygonize = False
reverse = False
scale = False
snap_to_grid = False
sym_difference = False
transform = False
translate = False
union = False
# Aggregates
collect = False
extent = False
extent3d = False
make_line = False
unionagg = False
# Serialization
geohash = False
geojson = False
gml = False
kml = False
svg = False
# Constructors
from_text = False
from_wkb = False
# Default conversion functions for aggregates; will be overridden if implemented
# for the spatial backend.
def convert_extent(self, box):
raise NotImplementedError('Aggregate extent not implemented for this spatial backend.')
def convert_extent3d(self, box):
raise NotImplementedError('Aggregate 3D extent not implemented for this spatial backend.')
def convert_geom(self, geom_val, geom_field):
raise NotImplementedError('Aggregate method not implemented for this spatial backend.')
# For quoting column values, rather than columns.
def geo_quote_name(self, name):
if isinstance(name, unicode):
name = name.encode('ascii')
return "'%s'" % name
# GeometryField operations
def geo_db_type(self, f):
"""
Returns the database column type for the geometry field on
the spatial backend.
"""
raise NotImplementedError
def get_distance(self, f, value, lookup_type):
"""
Returns the distance parameters for the given geometry field,
lookup value, and lookup type.
"""
raise NotImplementedError('Distance operations not available on this spatial backend.')
def get_geom_placeholder(self, f, value):
"""
Returns the placeholder for the given geometry field with the given
value. Depending on the spatial backend, the placeholder may contain a
stored procedure call to the transformation function of the spatial
backend.
"""
raise NotImplementedError
# Spatial SQL Construction
def spatial_aggregate_sql(self, agg):
raise NotImplementedError('Aggregate support not implemented for this spatial backend.')
def spatial_lookup_sql(self, lvalue, lookup_type, value, field):
raise NotImplmentedError
# Routines for getting the OGC-compliant models.
def geometry_columns(self):
raise NotImplementedError
def spatial_ref_sys(self):
raise NotImplementedError
class SpatialRefSysMixin(object):
"""
The SpatialRefSysMixin is a class used by the database-dependent
SpatialRefSys objects to reduce redundnant code.
"""
# For pulling out the spheroid from the spatial reference string. This
# regular expression is used only if the user does not have GDAL installed.
# TODO: Flattening not used in all ellipsoids, could also be a minor axis,
# or 'b' parameter.
spheroid_regex = re.compile(r'.+SPHEROID\[\"(?P<name>.+)\",(?P<major>\d+(\.\d+)?),(?P<flattening>\d{3}\.\d+),')
# For pulling out the units on platforms w/o GDAL installed.
# TODO: Figure out how to pull out angular units of projected coordinate system and
# fix for LOCAL_CS types. GDAL should be highly recommended for performing
# distance queries.
units_regex = re.compile(r'.+UNIT ?\["(?P<unit_name>[\w \'\(\)]+)", ?(?P<unit>[\d\.]+)(,AUTHORITY\["(?P<unit_auth_name>[\w \'\(\)]+)","(?P<unit_auth_val>\d+)"\])?\]([\w ]+)?(,AUTHORITY\["(?P<auth_name>[\w \'\(\)]+)","(?P<auth_val>\d+)"\])?\]$')
@property
def srs(self):
"""
Returns a GDAL SpatialReference object, if GDAL is installed.
"""
if gdal.HAS_GDAL:
# TODO: Is caching really necessary here? Is complexity worth it?
if hasattr(self, '_srs'):
# Returning a clone of the cached SpatialReference object.
return self._srs.clone()
else:
# Attempting to cache a SpatialReference object.
# Trying to get from WKT first.
try:
self._srs = gdal.SpatialReference(self.wkt)
return self.srs
except Exception, msg:
pass
try:
self._srs = gdal.SpatialReference(self.proj4text)
return self.srs
except Exception, msg:
pass
raise Exception('Could not get OSR SpatialReference from WKT: %s\nError:\n%s' % (self.wkt, msg))
else:
raise Exception('GDAL is not installed.')
@property
def ellipsoid(self):
"""
Returns a tuple of the ellipsoid parameters:
(semimajor axis, semiminor axis, and inverse flattening).
"""
if gdal.HAS_GDAL:
return self.srs.ellipsoid
else:
m = self.spheroid_regex.match(self.wkt)
if m: return (float(m.group('major')), float(m.group('flattening')))
else: return None
@property
def name(self):
"Returns the projection name."
return self.srs.name
@property
def spheroid(self):
"Returns the spheroid name for this spatial reference."
return self.srs['spheroid']
@property
def datum(self):
"Returns the datum for this spatial reference."
return self.srs['datum']
@property
def projected(self):
"Is this Spatial Reference projected?"
if gdal.HAS_GDAL:
return self.srs.projected
else:
return self.wkt.startswith('PROJCS')
@property
def local(self):
"Is this Spatial Reference local?"
if gdal.HAS_GDAL:
return self.srs.local
else:
return self.wkt.startswith('LOCAL_CS')
@property
def geographic(self):
"Is this Spatial Reference geographic?"
if gdal.HAS_GDAL:
return self.srs.geographic
else:
return self.wkt.startswith('GEOGCS')
@property
def linear_name(self):
"Returns the linear units name."
if gdal.HAS_GDAL:
return self.srs.linear_name
elif self.geographic:
return None
else:
m = self.units_regex.match(self.wkt)
return m.group('unit_name')
@property
def linear_units(self):
"Returns the linear units."
if gdal.HAS_GDAL:
return self.srs.linear_units
elif self.geographic:
return None
else:
m = self.units_regex.match(self.wkt)
return m.group('unit')
@property
def angular_name(self):
"Returns the name of the angular units."
if gdal.HAS_GDAL:
return self.srs.angular_name
elif self.projected:
return None
else:
m = self.units_regex.match(self.wkt)
return m.group('unit_name')
@property
def angular_units(self):
"Returns the angular units."
if gdal.HAS_GDAL:
return self.srs.angular_units
elif self.projected:
return None
else:
m = self.units_regex.match(self.wkt)
return m.group('unit')
@property
def units(self):
"Returns a tuple of the units and the name."
if self.projected or self.local:
return (self.linear_units, self.linear_name)
elif self.geographic:
return (self.angular_units, self.angular_name)
else:
return (None, None)
@classmethod
def get_units(cls, wkt):
"""
Class method used by GeometryField on initialization to
retrive the units on the given WKT, without having to use
any of the database fields.
"""
if gdal.HAS_GDAL:
return gdal.SpatialReference(wkt).units
else:
m = cls.units_regex.match(wkt)
return m.group('unit'), m.group('unit_name')
@classmethod
def get_spheroid(cls, wkt, string=True):
"""
Class method used by GeometryField on initialization to
retrieve the `SPHEROID[..]` parameters from the given WKT.
"""
if gdal.HAS_GDAL:
srs = gdal.SpatialReference(wkt)
sphere_params = srs.ellipsoid
sphere_name = srs['spheroid']
else:
m = cls.spheroid_regex.match(wkt)
if m:
sphere_params = (float(m.group('major')), float(m.group('flattening')))
sphere_name = m.group('name')
else:
return None
if not string:
return sphere_name, sphere_params
else:
# `string` parameter used to place in format acceptable by PostGIS
if len(sphere_params) == 3:
radius, flattening = sphere_params[0], sphere_params[2]
else:
radius, flattening = sphere_params
return 'SPHEROID["%s",%s,%s]' % (sphere_name, radius, flattening)
def __unicode__(self):
"""
Returns the string representation. If GDAL is installed,
it will be 'pretty' OGC WKT.
"""
try:
return unicode(self.srs)
except:
return unicode(self.wkt)
| 10,674 | Python | .py | 295 | 27.654237 | 248 | 0.616077 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,629 | adapter.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/adapter.py | class WKTAdapter(object):
"""
This provides an adaptor for Geometries sent to the
MySQL and Oracle database backends.
"""
def __init__(self, geom):
self.wkt = geom.wkt
self.srid = geom.srid
def __eq__(self, other):
return self.wkt == other.wkt and self.srid == other.srid
def __str__(self):
return self.wkt
def prepare_database_save(self, unused):
return self
| 435 | Python | .py | 14 | 24.714286 | 64 | 0.619617 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,630 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/models.py | """
The GeometryColumns and SpatialRefSys models for the PostGIS backend.
"""
from django.db import models
from django.contrib.gis.db.backends.base import SpatialRefSysMixin
class GeometryColumns(models.Model):
"""
The 'geometry_columns' table from the PostGIS. See the PostGIS
documentation at Ch. 4.2.2.
"""
f_table_catalog = models.CharField(max_length=256)
f_table_schema = models.CharField(max_length=256)
f_table_name = models.CharField(max_length=256)
f_geometry_column = models.CharField(max_length=256)
coord_dimension = models.IntegerField()
srid = models.IntegerField(primary_key=True)
type = models.CharField(max_length=30)
class Meta:
db_table = 'geometry_columns'
managed = False
@classmethod
def table_name_col(cls):
"""
Returns the name of the metadata column used to store the
the feature table name.
"""
return 'f_table_name'
@classmethod
def geom_col_name(cls):
"""
Returns the name of the metadata column used to store the
the feature geometry column.
"""
return 'f_geometry_column'
def __unicode__(self):
return "%s.%s - %dD %s field (SRID: %d)" % \
(self.f_table_name, self.f_geometry_column,
self.coord_dimension, self.type, self.srid)
class SpatialRefSys(models.Model, SpatialRefSysMixin):
"""
The 'spatial_ref_sys' table from PostGIS. See the PostGIS
documentaiton at Ch. 4.2.1.
"""
srid = models.IntegerField(primary_key=True)
auth_name = models.CharField(max_length=256)
auth_srid = models.IntegerField()
srtext = models.CharField(max_length=2048)
proj4text = models.CharField(max_length=2048)
class Meta:
db_table = 'spatial_ref_sys'
managed = False
@property
def wkt(self):
return self.srtext
@classmethod
def wkt_col(cls):
return 'srtext'
| 1,970 | Python | .py | 57 | 28.280702 | 70 | 0.664391 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,631 | creation.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/creation.py | from django.conf import settings
from django.db.backends.postgresql.creation import DatabaseCreation
class PostGISCreation(DatabaseCreation):
geom_index_type = 'GIST'
geom_index_opts = 'GIST_GEOMETRY_OPS'
def sql_indexes_for_field(self, model, f, style):
"Return any spatial index creation SQL for the field."
from django.contrib.gis.db.models.fields import GeometryField
output = super(PostGISCreation, self).sql_indexes_for_field(model, f, style)
if isinstance(f, GeometryField):
gqn = self.connection.ops.geo_quote_name
qn = self.connection.ops.quote_name
db_table = model._meta.db_table
if f.geography:
# Geogrophy columns are created normally.
pass
else:
# Geometry columns are created by `AddGeometryColumn`
# stored procedure.
output.append(style.SQL_KEYWORD('SELECT ') +
style.SQL_TABLE('AddGeometryColumn') + '(' +
style.SQL_TABLE(gqn(db_table)) + ', ' +
style.SQL_FIELD(gqn(f.column)) + ', ' +
style.SQL_FIELD(str(f.srid)) + ', ' +
style.SQL_COLTYPE(gqn(f.geom_type)) + ', ' +
style.SQL_KEYWORD(str(f.dim)) + ');')
if not f.null:
# Add a NOT NULL constraint to the field
output.append(style.SQL_KEYWORD('ALTER TABLE ') +
style.SQL_TABLE(qn(db_table)) +
style.SQL_KEYWORD(' ALTER ') +
style.SQL_FIELD(qn(f.column)) +
style.SQL_KEYWORD(' SET NOT NULL') + ';')
if f.spatial_index:
# Spatial indexes created the same way for both Geometry and
# Geography columns
if f.geography:
index_opts = ''
else:
index_opts = ' ' + style.SQL_KEYWORD(self.geom_index_opts)
output.append(style.SQL_KEYWORD('CREATE INDEX ') +
style.SQL_TABLE(qn('%s_%s_id' % (db_table, f.column))) +
style.SQL_KEYWORD(' ON ') +
style.SQL_TABLE(qn(db_table)) +
style.SQL_KEYWORD(' USING ') +
style.SQL_COLTYPE(self.geom_index_type) + ' ( ' +
style.SQL_FIELD(qn(f.column)) + index_opts + ' );')
return output
def sql_table_creation_suffix(self):
qn = self.connection.ops.quote_name
return ' TEMPLATE %s' % qn(getattr(settings, 'POSTGIS_TEMPLATE', 'template_postgis'))
| 2,845 | Python | .py | 51 | 37.039216 | 93 | 0.501975 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,632 | introspection.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/introspection.py | from django.db.backends.postgresql_psycopg2.introspection import DatabaseIntrospection
from django.contrib.gis.gdal import OGRGeomType
class GeoIntrospectionError(Exception):
pass
class PostGISIntrospection(DatabaseIntrospection):
# Reverse dictionary for PostGIS geometry types not populated until
# introspection is actually performed.
postgis_types_reverse = {}
def get_postgis_types(self):
"""
Returns a dictionary with keys that are the PostgreSQL object
identification integers for the PostGIS geometry and/or
geography types (if supported).
"""
cursor = self.connection.cursor()
# The OID integers associated with the geometry type may
# be different across versions; hence, this is why we have
# to query the PostgreSQL pg_type table corresponding to the
# PostGIS custom data types.
oid_sql = 'SELECT "oid" FROM "pg_type" WHERE "typname" = %s'
try:
cursor.execute(oid_sql, ('geometry',))
GEOM_TYPE = cursor.fetchone()[0]
postgis_types = { GEOM_TYPE : 'GeometryField' }
if self.connection.ops.geography:
cursor.execute(oid_sql, ('geography',))
GEOG_TYPE = cursor.fetchone()[0]
# The value for the geography type is actually a tuple
# to pass in the `geography=True` keyword to the field
# definition.
postgis_types[GEOG_TYPE] = ('GeometryField', {'geography' : True})
finally:
cursor.close()
return postgis_types
def get_field_type(self, data_type, description):
if not self.postgis_types_reverse:
# If the PostGIS types reverse dictionary is not populated, do so
# now. In order to prevent unnecessary requests upon connection
# intialization, the `data_types_reverse` dictionary is not updated
# with the PostGIS custom types until introspection is actually
# performed -- in other words, when this function is called.
self.postgis_types_reverse = self.get_postgis_types()
self.data_types_reverse.update(self.postgis_types_reverse)
return super(PostGISIntrospection, self).get_field_type(data_type, description)
def get_geometry_type(self, table_name, geo_col):
"""
The geometry type OID used by PostGIS does not indicate the particular
type of field that a geometry column is (e.g., whether it's a
PointField or a PolygonField). Thus, this routine queries the PostGIS
metadata tables to determine the geometry type,
"""
cursor = self.connection.cursor()
try:
try:
# First seeing if this geometry column is in the `geometry_columns`
cursor.execute('SELECT "coord_dimension", "srid", "type" '
'FROM "geometry_columns" '
'WHERE "f_table_name"=%s AND "f_geometry_column"=%s',
(table_name, geo_col))
row = cursor.fetchone()
if not row: raise GeoIntrospectionError
except GeoIntrospectionError:
if self.connection.ops.geography:
cursor.execute('SELECT "coord_dimension", "srid", "type" '
'FROM "geography_columns" '
'WHERE "f_table_name"=%s AND "f_geography_column"=%s',
(table_name, geo_col))
row = cursor.fetchone()
if not row:
raise Exception('Could not find a geometry or geography column for "%s"."%s"' %
(table_name, geo_col))
# OGRGeomType does not require GDAL and makes it easy to convert
# from OGC geom type name to Django field.
field_type = OGRGeomType(row[2]).django
# Getting any GeometryField keyword arguments that are not the default.
dim = row[0]
srid = row[1]
field_params = {}
if srid != 4326:
field_params['srid'] = srid
if dim != 2:
field_params['dim'] = dim
finally:
cursor.close()
return field_type, field_params
| 4,385 | Python | .py | 85 | 38.352941 | 95 | 0.593939 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,633 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/base.py | from django.db.backends.postgresql_psycopg2.base import *
from django.db.backends.postgresql_psycopg2.base import DatabaseWrapper as Psycopg2DatabaseWrapper
from django.contrib.gis.db.backends.postgis.creation import PostGISCreation
from django.contrib.gis.db.backends.postgis.introspection import PostGISIntrospection
from django.contrib.gis.db.backends.postgis.operations import PostGISOperations
class DatabaseWrapper(Psycopg2DatabaseWrapper):
def __init__(self, *args, **kwargs):
super(DatabaseWrapper, self).__init__(*args, **kwargs)
self.creation = PostGISCreation(self)
self.ops = PostGISOperations(self)
self.introspection = PostGISIntrospection(self)
| 697 | Python | .py | 11 | 59 | 98 | 0.80292 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,634 | operations.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/operations.py | import re
from decimal import Decimal
from django.conf import settings
from django.contrib.gis.db.backends.base import BaseSpatialOperations
from django.contrib.gis.db.backends.util import SpatialOperation, SpatialFunction
from django.contrib.gis.db.backends.postgis.adapter import PostGISAdapter
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Distance
from django.core.exceptions import ImproperlyConfigured
from django.db.backends.postgresql_psycopg2.base import DatabaseOperations
from django.db.utils import DatabaseError
#### Classes used in constructing PostGIS spatial SQL ####
class PostGISOperator(SpatialOperation):
"For PostGIS operators (e.g. `&&`, `~`)."
def __init__(self, operator):
super(PostGISOperator, self).__init__(operator=operator)
class PostGISFunction(SpatialFunction):
"For PostGIS function calls (e.g., `ST_Contains(table, geom)`)."
def __init__(self, prefix, function, **kwargs):
super(PostGISFunction, self).__init__(prefix + function, **kwargs)
class PostGISFunctionParam(PostGISFunction):
"For PostGIS functions that take another parameter (e.g. DWithin, Relate)."
sql_template = '%(function)s(%(geo_col)s, %(geometry)s, %%s)'
class PostGISDistance(PostGISFunction):
"For PostGIS distance operations."
dist_func = 'Distance'
sql_template = '%(function)s(%(geo_col)s, %(geometry)s) %(operator)s %%s'
def __init__(self, prefix, operator):
super(PostGISDistance, self).__init__(prefix, self.dist_func,
operator=operator)
class PostGISSpheroidDistance(PostGISFunction):
"For PostGIS spherical distance operations (using the spheroid)."
dist_func = 'distance_spheroid'
sql_template = '%(function)s(%(geo_col)s, %(geometry)s, %%s) %(operator)s %%s'
def __init__(self, prefix, operator):
# An extra parameter in `end_subst` is needed for the spheroid string.
super(PostGISSpheroidDistance, self).__init__(prefix, self.dist_func,
operator=operator)
class PostGISSphereDistance(PostGISDistance):
"For PostGIS spherical distance operations."
dist_func = 'distance_sphere'
class PostGISRelate(PostGISFunctionParam):
"For PostGIS Relate(<geom>, <pattern>) calls."
pattern_regex = re.compile(r'^[012TF\*]{9}$')
def __init__(self, prefix, pattern):
if not self.pattern_regex.match(pattern):
raise ValueError('Invalid intersection matrix pattern "%s".' % pattern)
super(PostGISRelate, self).__init__(prefix, 'Relate')
class PostGISOperations(DatabaseOperations, BaseSpatialOperations):
compiler_module = 'django.contrib.gis.db.models.sql.compiler'
name = 'postgis'
postgis = True
version_regex = re.compile(r'^(?P<major>\d)\.(?P<minor1>\d)\.(?P<minor2>\d+)')
valid_aggregates = dict([(k, None) for k in
('Collect', 'Extent', 'Extent3D', 'MakeLine', 'Union')])
Adapter = PostGISAdapter
Adaptor = Adapter # Backwards-compatibility alias.
def __init__(self, connection):
super(PostGISOperations, self).__init__(connection)
# Trying to get the PostGIS version because the function
# signatures will depend on the version used. The cost
# here is a database query to determine the version, which
# can be mitigated by setting `POSTGIS_VERSION` with a 3-tuple
# comprising user-supplied values for the major, minor, and
# subminor revision of PostGIS.
try:
if hasattr(settings, 'POSTGIS_VERSION'):
vtup = settings.POSTGIS_VERSION
if len(vtup) == 3:
# The user-supplied PostGIS version.
version = vtup
else:
# This was the old documented way, but it's stupid to
# include the string.
version = vtup[1:4]
else:
vtup = self.postgis_version_tuple()
version = vtup[1:]
# Getting the prefix -- even though we don't officially support
# PostGIS 1.2 anymore, keeping it anyway in case a prefix change
# for something else is necessary.
if version >= (1, 2, 2):
prefix = 'ST_'
else:
prefix = ''
self.geom_func_prefix = prefix
self.spatial_version = version
except DatabaseError:
raise ImproperlyConfigured('Cannot determine PostGIS version for database "%s". '
'GeoDjango requires at least PostGIS version 1.3. '
'Was the database created from a spatial database '
'template?' % self.connection.settings_dict['NAME']
)
except Exception, e:
# TODO: Raise helpful exceptions as they become known.
raise
# PostGIS-specific operators. The commented descriptions of these
# operators come from Section 7.6 of the PostGIS 1.4 documentation.
self.geometry_operators = {
# The "&<" operator returns true if A's bounding box overlaps or
# is to the left of B's bounding box.
'overlaps_left' : PostGISOperator('&<'),
# The "&>" operator returns true if A's bounding box overlaps or
# is to the right of B's bounding box.
'overlaps_right' : PostGISOperator('&>'),
# The "<<" operator returns true if A's bounding box is strictly
# to the left of B's bounding box.
'left' : PostGISOperator('<<'),
# The ">>" operator returns true if A's bounding box is strictly
# to the right of B's bounding box.
'right' : PostGISOperator('>>'),
# The "&<|" operator returns true if A's bounding box overlaps or
# is below B's bounding box.
'overlaps_below' : PostGISOperator('&<|'),
# The "|&>" operator returns true if A's bounding box overlaps or
# is above B's bounding box.
'overlaps_above' : PostGISOperator('|&>'),
# The "<<|" operator returns true if A's bounding box is strictly
# below B's bounding box.
'strictly_below' : PostGISOperator('<<|'),
# The "|>>" operator returns true if A's bounding box is strictly
# above B's bounding box.
'strictly_above' : PostGISOperator('|>>'),
# The "~=" operator is the "same as" operator. It tests actual
# geometric equality of two features. So if A and B are the same feature,
# vertex-by-vertex, the operator returns true.
'same_as' : PostGISOperator('~='),
'exact' : PostGISOperator('~='),
# The "@" operator returns true if A's bounding box is completely contained
# by B's bounding box.
'contained' : PostGISOperator('@'),
# The "~" operator returns true if A's bounding box completely contains
# by B's bounding box.
'bbcontains' : PostGISOperator('~'),
# The "&&" operator returns true if A's bounding box overlaps
# B's bounding box.
'bboverlaps' : PostGISOperator('&&'),
}
self.geometry_functions = {
'equals' : PostGISFunction(prefix, 'Equals'),
'disjoint' : PostGISFunction(prefix, 'Disjoint'),
'touches' : PostGISFunction(prefix, 'Touches'),
'crosses' : PostGISFunction(prefix, 'Crosses'),
'within' : PostGISFunction(prefix, 'Within'),
'overlaps' : PostGISFunction(prefix, 'Overlaps'),
'contains' : PostGISFunction(prefix, 'Contains'),
'intersects' : PostGISFunction(prefix, 'Intersects'),
'relate' : (PostGISRelate, basestring),
}
# Valid distance types and substitutions
dtypes = (Decimal, Distance, float, int, long)
def get_dist_ops(operator):
"Returns operations for both regular and spherical distances."
return {'cartesian' : PostGISDistance(prefix, operator),
'sphere' : PostGISSphereDistance(prefix, operator),
'spheroid' : PostGISSpheroidDistance(prefix, operator),
}
self.distance_functions = {
'distance_gt' : (get_dist_ops('>'), dtypes),
'distance_gte' : (get_dist_ops('>='), dtypes),
'distance_lt' : (get_dist_ops('<'), dtypes),
'distance_lte' : (get_dist_ops('<='), dtypes),
}
# Versions 1.2.2+ have KML serialization support.
if version < (1, 2, 2):
ASKML = False
else:
ASKML = 'ST_AsKML'
self.geometry_functions.update(
{'coveredby' : PostGISFunction(prefix, 'CoveredBy'),
'covers' : PostGISFunction(prefix, 'Covers'),
})
self.distance_functions['dwithin'] = (PostGISFunctionParam(prefix, 'DWithin'), dtypes)
# Adding the distance functions to the geometries lookup.
self.geometry_functions.update(self.distance_functions)
# The union aggregate and topology operation use the same signature
# in versions 1.3+.
if version < (1, 3, 0):
UNIONAGG = 'GeomUnion'
UNION = 'Union'
MAKELINE = False
else:
UNIONAGG = 'ST_Union'
UNION = 'ST_Union'
MAKELINE = 'ST_MakeLine'
# Only PostGIS versions 1.3.4+ have GeoJSON serialization support.
if version < (1, 3, 4):
GEOJSON = False
else:
GEOJSON = prefix + 'AsGeoJson'
# ST_ContainsProperly ST_MakeLine, and ST_GeoHash added in 1.4.
if version >= (1, 4, 0):
GEOHASH = 'ST_GeoHash'
BOUNDINGCIRCLE = 'ST_MinimumBoundingCircle'
self.geometry_functions['contains_properly'] = PostGISFunction(prefix, 'ContainsProperly')
else:
GEOHASH, BOUNDINGCIRCLE = False, False
# Geography type support added in 1.5.
if version >= (1, 5, 0):
self.geography = True
# Only a subset of the operators and functions are available
# for the geography type.
self.geography_functions = self.distance_functions.copy()
self.geography_functions.update({
'coveredby' : self.geometry_functions['coveredby'],
'covers' : self.geometry_functions['covers'],
'intersects' : self.geometry_functions['intersects'],
})
self.geography_operators = {
'bboverlaps' : PostGISOperator('&&'),
}
# Creating a dictionary lookup of all GIS terms for PostGIS.
gis_terms = ['isnull']
gis_terms += self.geometry_operators.keys()
gis_terms += self.geometry_functions.keys()
self.gis_terms = dict([(term, None) for term in gis_terms])
self.area = prefix + 'Area'
self.bounding_circle = BOUNDINGCIRCLE
self.centroid = prefix + 'Centroid'
self.collect = prefix + 'Collect'
self.difference = prefix + 'Difference'
self.distance = prefix + 'Distance'
self.distance_sphere = prefix + 'distance_sphere'
self.distance_spheroid = prefix + 'distance_spheroid'
self.envelope = prefix + 'Envelope'
self.extent = prefix + 'Extent'
self.extent3d = prefix + 'Extent3D'
self.force_rhr = prefix + 'ForceRHR'
self.geohash = GEOHASH
self.geojson = GEOJSON
self.gml = prefix + 'AsGML'
self.intersection = prefix + 'Intersection'
self.kml = ASKML
self.length = prefix + 'Length'
self.length3d = prefix + 'Length3D'
self.length_spheroid = prefix + 'length_spheroid'
self.makeline = MAKELINE
self.mem_size = prefix + 'mem_size'
self.num_geom = prefix + 'NumGeometries'
self.num_points =prefix + 'npoints'
self.perimeter = prefix + 'Perimeter'
self.perimeter3d = prefix + 'Perimeter3D'
self.point_on_surface = prefix + 'PointOnSurface'
self.polygonize = prefix + 'Polygonize'
self.reverse = prefix + 'Reverse'
self.scale = prefix + 'Scale'
self.snap_to_grid = prefix + 'SnapToGrid'
self.svg = prefix + 'AsSVG'
self.sym_difference = prefix + 'SymDifference'
self.transform = prefix + 'Transform'
self.translate = prefix + 'Translate'
self.union = UNION
self.unionagg = UNIONAGG
def check_aggregate_support(self, aggregate):
"""
Checks if the given aggregate name is supported (that is, if it's
in `self.valid_aggregates`).
"""
agg_name = aggregate.__class__.__name__
return agg_name in self.valid_aggregates
def convert_extent(self, box):
"""
Returns a 4-tuple extent for the `Extent` aggregate by converting
the bounding box text returned by PostGIS (`box` argument), for
example: "BOX(-90.0 30.0, -85.0 40.0)".
"""
ll, ur = box[4:-1].split(',')
xmin, ymin = map(float, ll.split())
xmax, ymax = map(float, ur.split())
return (xmin, ymin, xmax, ymax)
def convert_extent3d(self, box3d):
"""
Returns a 6-tuple extent for the `Extent3D` aggregate by converting
the 3d bounding-box text returnded by PostGIS (`box3d` argument), for
example: "BOX3D(-90.0 30.0 1, -85.0 40.0 2)".
"""
ll, ur = box3d[6:-1].split(',')
xmin, ymin, zmin = map(float, ll.split())
xmax, ymax, zmax = map(float, ur.split())
return (xmin, ymin, zmin, xmax, ymax, zmax)
def convert_geom(self, hex, geo_field):
"""
Converts the geometry returned from PostGIS aggretates.
"""
if hex:
return Geometry(hex)
else:
return None
def geo_db_type(self, f):
"""
Return the database field type for the given geometry field.
Typically this is `None` because geometry columns are added via
the `AddGeometryColumn` stored procedure, unless the field
has been specified to be of geography type instead.
"""
if f.geography:
if not self.geography:
raise NotImplementedError('PostGIS 1.5 required for geography column support.')
if f.srid != 4326:
raise NotImplementedError('PostGIS 1.5 supports geography columns '
'only with an SRID of 4326.')
return 'geography(%s,%d)'% (f.geom_type, f.srid)
else:
return None
def get_distance(self, f, dist_val, lookup_type):
"""
Retrieve the distance parameters for the given geometry field,
distance lookup value, and the distance lookup type.
This is the most complex implementation of the spatial backends due to
what is supported on geodetic geometry columns vs. what's available on
projected geometry columns. In addition, it has to take into account
the newly introduced geography column type introudced in PostGIS 1.5.
"""
# Getting the distance parameter and any options.
if len(dist_val) == 1:
value, option = dist_val[0], None
else:
value, option = dist_val
# Shorthand boolean flags.
geodetic = f.geodetic(self.connection)
geography = f.geography and self.geography
if isinstance(value, Distance):
if geography:
dist_param = value.m
elif geodetic:
if lookup_type == 'dwithin':
raise ValueError('Only numeric values of degree units are '
'allowed on geographic DWithin queries.')
dist_param = value.m
else:
dist_param = getattr(value, Distance.unit_attname(f.units_name(self.connection)))
else:
# Assuming the distance is in the units of the field.
dist_param = value
if (not geography and geodetic and lookup_type != 'dwithin'
and option == 'spheroid'):
# using distance_spheroid requires the spheroid of the field as
# a parameter.
return [f._spheroid, dist_param]
else:
return [dist_param]
def get_geom_placeholder(self, f, value):
"""
Provides a proper substitution value for Geometries that are not in the
SRID of the field. Specifically, this routine will substitute in the
ST_Transform() function call.
"""
if value is None or value.srid == f.srid:
placeholder = '%s'
else:
# Adding Transform() to the SQL placeholder.
placeholder = '%s(%%s, %s)' % (self.transform, f.srid)
if hasattr(value, 'expression'):
# If this is an F expression, then we don't really want
# a placeholder and instead substitute in the column
# of the expression.
placeholder = placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
return placeholder
def _get_postgis_func(self, func):
"""
Helper routine for calling PostGIS functions and returning their result.
"""
cursor = self.connection._cursor()
try:
try:
cursor.execute('SELECT %s()' % func)
row = cursor.fetchone()
except:
# Responsibility of callers to perform error handling.
raise
finally:
# Close out the connection. See #9437.
self.connection.close()
return row[0]
def postgis_geos_version(self):
"Returns the version of the GEOS library used with PostGIS."
return self._get_postgis_func('postgis_geos_version')
def postgis_lib_version(self):
"Returns the version number of the PostGIS library used with PostgreSQL."
return self._get_postgis_func('postgis_lib_version')
def postgis_proj_version(self):
"Returns the version of the PROJ.4 library used with PostGIS."
return self._get_postgis_func('postgis_proj_version')
def postgis_version(self):
"Returns PostGIS version number and compile-time options."
return self._get_postgis_func('postgis_version')
def postgis_full_version(self):
"Returns PostGIS version number and compile-time options."
return self._get_postgis_func('postgis_full_version')
def postgis_version_tuple(self):
"""
Returns the PostGIS version as a tuple (version string, major,
minor, subminor).
"""
# Getting the PostGIS version
version = self.postgis_lib_version()
m = self.version_regex.match(version)
if m:
major = int(m.group('major'))
minor1 = int(m.group('minor1'))
minor2 = int(m.group('minor2'))
else:
raise Exception('Could not parse PostGIS version string: %s' % version)
return (version, major, minor1, minor2)
def proj_version_tuple(self):
"""
Return the version of PROJ.4 used by PostGIS as a tuple of the
major, minor, and subminor release numbers.
"""
proj_regex = re.compile(r'(\d+)\.(\d+)\.(\d+)')
proj_ver_str = self.postgis_proj_version()
m = proj_regex.search(proj_ver_str)
if m:
return tuple(map(int, [m.group(1), m.group(2), m.group(3)]))
else:
raise Exception('Could not determine PROJ.4 version from PostGIS.')
def num_params(self, lookup_type, num_param):
"""
Helper routine that returns a boolean indicating whether the number of
parameters is correct for the lookup type.
"""
def exactly_two(np): return np == 2
def two_to_three(np): return np >= 2 and np <=3
if (lookup_type in self.distance_functions and
lookup_type != 'dwithin'):
return two_to_three(num_param)
else:
return exactly_two(num_param)
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
"""
Constructs spatial SQL from the given lookup value tuple a
(alias, col, db_type), the lookup type string, lookup value, and
the geometry field.
"""
alias, col, db_type = lvalue
# Getting the quoted geometry column.
geo_col = '%s.%s' % (qn(alias), qn(col))
if lookup_type in self.geometry_operators:
if field.geography and not lookup_type in self.geography_operators:
raise ValueError('PostGIS geography does not support the '
'"%s" lookup.' % lookup_type)
# Handling a PostGIS operator.
op = self.geometry_operators[lookup_type]
return op.as_sql(geo_col, self.get_geom_placeholder(field, value))
elif lookup_type in self.geometry_functions:
if field.geography and not lookup_type in self.geography_functions:
raise ValueError('PostGIS geography type does not support the '
'"%s" lookup.' % lookup_type)
# See if a PostGIS geometry function matches the lookup type.
tmp = self.geometry_functions[lookup_type]
# Lookup types that are tuples take tuple arguments, e.g., 'relate' and
# distance lookups.
if isinstance(tmp, tuple):
# First element of tuple is the PostGISOperation instance, and the
# second element is either the type or a tuple of acceptable types
# that may passed in as further parameters for the lookup type.
op, arg_type = tmp
# Ensuring that a tuple _value_ was passed in from the user
if not isinstance(value, (tuple, list)):
raise ValueError('Tuple required for `%s` lookup type.' % lookup_type)
# Geometry is first element of lookup tuple.
geom = value[0]
# Number of valid tuple parameters depends on the lookup type.
nparams = len(value)
if not self.num_params(lookup_type, nparams):
raise ValueError('Incorrect number of parameters given for `%s` lookup type.' % lookup_type)
# Ensuring the argument type matches what we expect.
if not isinstance(value[1], arg_type):
raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1])))
# For lookup type `relate`, the op instance is not yet created (has
# to be instantiated here to check the pattern parameter).
if lookup_type == 'relate':
op = op(self.geom_func_prefix, value[1])
elif lookup_type in self.distance_functions and lookup_type != 'dwithin':
if not field.geography and field.geodetic(self.connection):
# Geodetic distances are only availble from Points to
# PointFields on PostGIS 1.4 and below.
if not self.connection.ops.geography:
if field.geom_type != 'POINT':
raise ValueError('PostGIS spherical operations are only valid on PointFields.')
if str(geom.geom_type) != 'Point':
raise ValueError('PostGIS geometry distance parameter is required to be of type Point.')
# Setting up the geodetic operation appropriately.
if nparams == 3 and value[2] == 'spheroid':
op = op['spheroid']
else:
op = op['sphere']
else:
op = op['cartesian']
else:
op = tmp
geom = value
# Calling the `as_sql` function on the operation instance.
return op.as_sql(geo_col, self.get_geom_placeholder(field, geom))
elif lookup_type == 'isnull':
# Handling 'isnull' lookup type
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
def spatial_aggregate_sql(self, agg):
"""
Returns the spatial aggregate SQL template and function for the
given Aggregate instance.
"""
agg_name = agg.__class__.__name__
if not self.check_aggregate_support(agg):
raise NotImplementedError('%s spatial aggregate is not implmented for this backend.' % agg_name)
agg_name = agg_name.lower()
if agg_name == 'union': agg_name += 'agg'
sql_template = '%(function)s(%(field)s)'
sql_function = getattr(self, agg_name)
return sql_template, sql_function
# Routines for getting the OGC-compliant models.
def geometry_columns(self):
from django.contrib.gis.db.backends.postgis.models import GeometryColumns
return GeometryColumns
def spatial_ref_sys(self):
from django.contrib.gis.db.backends.postgis.models import SpatialRefSys
return SpatialRefSys
| 25,840 | Python | .py | 518 | 38.07529 | 120 | 0.593996 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,635 | adapter.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/postgis/adapter.py | """
This object provides quoting for GEOS geometries into PostgreSQL/PostGIS.
"""
from psycopg2 import Binary
from psycopg2.extensions import ISQLQuote
class PostGISAdapter(object):
def __init__(self, geom):
"Initializes on the geometry."
# Getting the WKB (in string form, to allow easy pickling of
# the adaptor) and the SRID from the geometry.
self.ewkb = str(geom.ewkb)
self.srid = geom.srid
def __conform__(self, proto):
# Does the given protocol conform to what Psycopg2 expects?
if proto == ISQLQuote:
return self
else:
raise Exception('Error implementing psycopg2 protocol. Is psycopg2 installed?')
def __eq__(self, other):
return (self.ewkb == other.ewkb) and (self.srid == other.srid)
def __str__(self):
return self.getquoted()
def getquoted(self):
"Returns a properly quoted string for use in PostgreSQL/PostGIS."
# Want to use WKB, so wrap with psycopg2 Binary() to quote properly.
return 'ST_GeomFromEWKB(E%s)' % Binary(self.ewkb)
def prepare_database_save(self, unused):
return self
| 1,165 | Python | .py | 28 | 34.607143 | 91 | 0.664602 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,636 | creation.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/mysql/creation.py | from django.db.backends.mysql.creation import DatabaseCreation
class MySQLCreation(DatabaseCreation):
def sql_indexes_for_field(self, model, f, style):
from django.contrib.gis.db.models.fields import GeometryField
output = super(MySQLCreation, self).sql_indexes_for_field(model, f, style)
if isinstance(f, GeometryField) and f.spatial_index:
qn = self.connection.ops.quote_name
db_table = model._meta.db_table
idx_name = '%s_%s_id' % (db_table, f.column)
output.append(style.SQL_KEYWORD('CREATE SPATIAL INDEX ') +
style.SQL_TABLE(qn(idx_name)) +
style.SQL_KEYWORD(' ON ') +
style.SQL_TABLE(qn(db_table)) + '(' +
style.SQL_FIELD(qn(f.column)) + ');')
return output
| 855 | Python | .py | 15 | 43.266667 | 82 | 0.589008 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,637 | introspection.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/mysql/introspection.py | from MySQLdb.constants import FIELD_TYPE
from django.contrib.gis.gdal import OGRGeomType
from django.db.backends.mysql.introspection import DatabaseIntrospection
class MySQLIntrospection(DatabaseIntrospection):
# Updating the data_types_reverse dictionary with the appropriate
# type for Geometry fields.
data_types_reverse = DatabaseIntrospection.data_types_reverse.copy()
data_types_reverse[FIELD_TYPE.GEOMETRY] = 'GeometryField'
def get_geometry_type(self, table_name, geo_col):
cursor = self.connection.cursor()
try:
# In order to get the specific geometry type of the field,
# we introspect on the table definition using `DESCRIBE`.
cursor.execute('DESCRIBE %s' %
self.connection.ops.quote_name(table_name))
# Increment over description info until we get to the geometry
# column.
for column, typ, null, key, default, extra in cursor.fetchall():
if column == geo_col:
# Using OGRGeomType to convert from OGC name to Django field.
# MySQL does not support 3D or SRIDs, so the field params
# are empty.
field_type = OGRGeomType(typ).django
field_params = {}
break
finally:
cursor.close()
return field_type, field_params
| 1,426 | Python | .py | 28 | 39.107143 | 81 | 0.634864 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,638 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/mysql/base.py | from django.db.backends.mysql.base import *
from django.db.backends.mysql.base import DatabaseWrapper as MySQLDatabaseWrapper
from django.contrib.gis.db.backends.mysql.creation import MySQLCreation
from django.contrib.gis.db.backends.mysql.introspection import MySQLIntrospection
from django.contrib.gis.db.backends.mysql.operations import MySQLOperations
class DatabaseWrapper(MySQLDatabaseWrapper):
def __init__(self, *args, **kwargs):
super(DatabaseWrapper, self).__init__(*args, **kwargs)
self.creation = MySQLCreation(self)
self.ops = MySQLOperations()
self.introspection = MySQLIntrospection(self)
| 642 | Python | .py | 11 | 53.909091 | 81 | 0.788553 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,639 | operations.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/mysql/operations.py | from django.db.backends.mysql.base import DatabaseOperations
from django.contrib.gis.db.backends.adapter import WKTAdapter
from django.contrib.gis.db.backends.base import BaseSpatialOperations
class MySQLOperations(DatabaseOperations, BaseSpatialOperations):
compiler_module = 'django.contrib.gis.db.models.sql.compiler'
mysql = True
name = 'mysql'
select = 'AsText(%s)'
from_wkb = 'GeomFromWKB'
from_text = 'GeomFromText'
Adapter = WKTAdapter
Adaptor = Adapter # Backwards-compatibility alias.
geometry_functions = {
'bbcontains' : 'MBRContains', # For consistency w/PostGIS API
'bboverlaps' : 'MBROverlaps', # .. ..
'contained' : 'MBRWithin', # .. ..
'contains' : 'MBRContains',
'disjoint' : 'MBRDisjoint',
'equals' : 'MBREqual',
'exact' : 'MBREqual',
'intersects' : 'MBRIntersects',
'overlaps' : 'MBROverlaps',
'same_as' : 'MBREqual',
'touches' : 'MBRTouches',
'within' : 'MBRWithin',
}
gis_terms = dict([(term, None) for term in geometry_functions.keys() + ['isnull']])
def geo_db_type(self, f):
return f.geom_type
def get_geom_placeholder(self, value, srid):
"""
The placeholder here has to include MySQL's WKT constructor. Because
MySQL does not support spatial transformations, there is no need to
modify the placeholder based on the contents of the given value.
"""
if hasattr(value, 'expression'):
placeholder = '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
else:
placeholder = '%s(%%s)' % self.from_text
return placeholder
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
alias, col, db_type = lvalue
geo_col = '%s.%s' % (qn(alias), qn(col))
lookup_info = self.geometry_functions.get(lookup_type, False)
if lookup_info:
return "%s(%s, %s)" % (lookup_info, geo_col,
self.get_geom_placeholder(value, field.srid))
# TODO: Is this really necessary? MySQL can't handle NULL geometries
# in its spatial indexes anyways.
if lookup_type == 'isnull':
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
| 2,418 | Python | .py | 52 | 38.038462 | 93 | 0.624309 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,640 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/models.py | """
The GeometryColumns and SpatialRefSys models for the Oracle spatial
backend.
It should be noted that Oracle Spatial does not have database tables
named according to the OGC standard, so the closest analogs are used.
For example, the `USER_SDO_GEOM_METADATA` is used for the GeometryColumns
model and the `SDO_COORD_REF_SYS` is used for the SpatialRefSys model.
"""
from django.contrib.gis.db import models
from django.contrib.gis.db.models.fields import GeometryField
from django.contrib.gis.db.backends.base import SpatialRefSysMixin
class GeometryColumns(models.Model):
"Maps to the Oracle USER_SDO_GEOM_METADATA table."
table_name = models.CharField(max_length=32)
column_name = models.CharField(max_length=1024)
srid = models.IntegerField(primary_key=True)
# TODO: Add support for `diminfo` column (type MDSYS.SDO_DIM_ARRAY).
class Meta:
db_table = 'USER_SDO_GEOM_METADATA'
managed = False
@classmethod
def table_name_col(cls):
"""
Returns the name of the metadata column used to store the
the feature table name.
"""
return 'table_name'
@classmethod
def geom_col_name(cls):
"""
Returns the name of the metadata column used to store the
the feature geometry column.
"""
return 'column_name'
def __unicode__(self):
return '%s - %s (SRID: %s)' % (self.table_name, self.column_name, self.srid)
class SpatialRefSys(models.Model, SpatialRefSysMixin):
"Maps to the Oracle MDSYS.CS_SRS table."
cs_name = models.CharField(max_length=68)
srid = models.IntegerField(primary_key=True)
auth_srid = models.IntegerField()
auth_name = models.CharField(max_length=256)
wktext = models.CharField(max_length=2046)
# Optional geometry representing the bounds of this coordinate
# system. By default, all are NULL in the table.
cs_bounds = models.PolygonField(null=True)
objects = models.GeoManager()
class Meta:
db_table = 'CS_SRS'
managed = False
@property
def wkt(self):
return self.wktext
@classmethod
def wkt_col(cls):
return 'wktext'
| 2,184 | Python | .py | 56 | 33.446429 | 84 | 0.702218 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,641 | compiler.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/compiler.py | from django.contrib.gis.db.models.sql.compiler import GeoSQLCompiler as BaseGeoSQLCompiler
from django.db.backends.oracle import compiler
SQLCompiler = compiler.SQLCompiler
class GeoSQLCompiler(BaseGeoSQLCompiler, SQLCompiler):
pass
class SQLInsertCompiler(compiler.SQLInsertCompiler, GeoSQLCompiler):
def placeholder(self, field, val):
if field is None:
# A field value of None means the value is raw.
return val
elif hasattr(field, 'get_placeholder'):
# Some fields (e.g. geo fields) need special munging before
# they can be inserted.
ph = field.get_placeholder(val, self.connection)
if ph == 'NULL':
# If the placeholder returned is 'NULL', then we need to
# to remove None from the Query parameters. Specifically,
# cx_Oracle will assume a CHAR type when a placeholder ('%s')
# is used for columns of MDSYS.SDO_GEOMETRY. Thus, we use
# 'NULL' for the value, and remove None from the query params.
# See also #10888.
param_idx = self.query.columns.index(field.column)
params = list(self.query.params)
params.pop(param_idx)
self.query.params = tuple(params)
return ph
else:
# Return the common case for the placeholder
return '%s'
class SQLDeleteCompiler(compiler.SQLDeleteCompiler, GeoSQLCompiler):
pass
class SQLUpdateCompiler(compiler.SQLUpdateCompiler, GeoSQLCompiler):
pass
class SQLAggregateCompiler(compiler.SQLAggregateCompiler, GeoSQLCompiler):
pass
class SQLDateCompiler(compiler.SQLDateCompiler, GeoSQLCompiler):
pass
| 1,756 | Python | .py | 37 | 37.72973 | 90 | 0.666472 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,642 | creation.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/creation.py | from django.db.backends.oracle.creation import DatabaseCreation
from django.db.backends.util import truncate_name
class OracleCreation(DatabaseCreation):
def sql_indexes_for_field(self, model, f, style):
"Return any spatial index creation SQL for the field."
from django.contrib.gis.db.models.fields import GeometryField
output = super(OracleCreation, self).sql_indexes_for_field(model, f, style)
if isinstance(f, GeometryField):
gqn = self.connection.ops.geo_quote_name
qn = self.connection.ops.quote_name
db_table = model._meta.db_table
output.append(style.SQL_KEYWORD('INSERT INTO ') +
style.SQL_TABLE('USER_SDO_GEOM_METADATA') +
' (%s, %s, %s, %s)\n ' % tuple(map(qn, ['TABLE_NAME', 'COLUMN_NAME', 'DIMINFO', 'SRID'])) +
style.SQL_KEYWORD(' VALUES ') + '(\n ' +
style.SQL_TABLE(gqn(db_table)) + ',\n ' +
style.SQL_FIELD(gqn(f.column)) + ',\n ' +
style.SQL_KEYWORD("MDSYS.SDO_DIM_ARRAY") + '(\n ' +
style.SQL_KEYWORD("MDSYS.SDO_DIM_ELEMENT") +
("('LONG', %s, %s, %s),\n " % (f._extent[0], f._extent[2], f._tolerance)) +
style.SQL_KEYWORD("MDSYS.SDO_DIM_ELEMENT") +
("('LAT', %s, %s, %s)\n ),\n" % (f._extent[1], f._extent[3], f._tolerance)) +
' %s\n );' % f.srid)
if f.spatial_index:
# Getting the index name, Oracle doesn't allow object
# names > 30 characters.
idx_name = truncate_name('%s_%s_id' % (db_table, f.column), 30)
output.append(style.SQL_KEYWORD('CREATE INDEX ') +
style.SQL_TABLE(qn(idx_name)) +
style.SQL_KEYWORD(' ON ') +
style.SQL_TABLE(qn(db_table)) + '(' +
style.SQL_FIELD(qn(f.column)) + ') ' +
style.SQL_KEYWORD('INDEXTYPE IS ') +
style.SQL_TABLE('MDSYS.SPATIAL_INDEX') + ';')
return output
| 2,283 | Python | .py | 35 | 45.914286 | 118 | 0.486836 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,643 | introspection.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/introspection.py | import cx_Oracle
from django.db.backends.oracle.introspection import DatabaseIntrospection
class OracleIntrospection(DatabaseIntrospection):
# Associating any OBJECTVAR instances with GeometryField. Of course,
# this won't work right on Oracle objects that aren't MDSYS.SDO_GEOMETRY,
# but it is the only object type supported within Django anyways.
data_types_reverse = DatabaseIntrospection.data_types_reverse.copy()
data_types_reverse[cx_Oracle.OBJECT] = 'GeometryField'
def get_geometry_type(self, table_name, geo_col):
cursor = self.connection.cursor()
try:
# Querying USER_SDO_GEOM_METADATA to get the SRID and dimension information.
try:
cursor.execute('SELECT "DIMINFO", "SRID" FROM "USER_SDO_GEOM_METADATA" WHERE "TABLE_NAME"=%s AND "COLUMN_NAME"=%s',
(table_name.upper(), geo_col.upper()))
row = cursor.fetchone()
except Exception, msg:
raise Exception('Could not find entry in USER_SDO_GEOM_METADATA corresponding to "%s"."%s"\n'
'Error message: %s.' % (table_name, geo_col, msg))
# TODO: Research way to find a more specific geometry field type for
# the column's contents.
field_type = 'GeometryField'
# Getting the field parameters.
field_params = {}
dim, srid = row
if srid != 4326:
field_params['srid'] = srid
# Length of object array ( SDO_DIM_ARRAY ) is number of dimensions.
dim = len(dim)
if dim != 2:
field_params['dim'] = dim
finally:
cursor.close()
return field_type, field_params
| 1,777 | Python | .py | 34 | 40.323529 | 131 | 0.609896 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,644 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/base.py | from django.db.backends.oracle.base import *
from django.db.backends.oracle.base import DatabaseWrapper as OracleDatabaseWrapper
from django.contrib.gis.db.backends.oracle.creation import OracleCreation
from django.contrib.gis.db.backends.oracle.introspection import OracleIntrospection
from django.contrib.gis.db.backends.oracle.operations import OracleOperations
class DatabaseWrapper(OracleDatabaseWrapper):
def __init__(self, *args, **kwargs):
super(DatabaseWrapper, self).__init__(*args, **kwargs)
self.ops = OracleOperations(self)
self.creation = OracleCreation(self)
self.introspection = OracleIntrospection(self)
| 658 | Python | .py | 11 | 55.454545 | 83 | 0.794118 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,645 | operations.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/operations.py | """
This module contains the spatial lookup types, and the `get_geo_where_clause`
routine for Oracle Spatial.
Please note that WKT support is broken on the XE version, and thus
this backend will not work on such platforms. Specifically, XE lacks
support for an internal JVM, and Java libraries are required to use
the WKT constructors.
"""
import re
from decimal import Decimal
from django.db.backends.oracle.base import DatabaseOperations
from django.contrib.gis.db.backends.base import BaseSpatialOperations
from django.contrib.gis.db.backends.oracle.adapter import OracleSpatialAdapter
from django.contrib.gis.db.backends.util import SpatialFunction
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Distance
class SDOOperation(SpatialFunction):
"Base class for SDO* Oracle operations."
sql_template = "%(function)s(%(geo_col)s, %(geometry)s) %(operator)s '%(result)s'"
def __init__(self, func, **kwargs):
kwargs.setdefault('operator', '=')
kwargs.setdefault('result', 'TRUE')
super(SDOOperation, self).__init__(func, **kwargs)
class SDODistance(SpatialFunction):
"Class for Distance queries."
sql_template = ('%(function)s(%(geo_col)s, %(geometry)s, %(tolerance)s) '
'%(operator)s %(result)s')
dist_func = 'SDO_GEOM.SDO_DISTANCE'
def __init__(self, op, tolerance=0.05):
super(SDODistance, self).__init__(self.dist_func,
tolerance=tolerance,
operator=op, result='%s')
class SDODWithin(SpatialFunction):
dwithin_func = 'SDO_WITHIN_DISTANCE'
sql_template = "%(function)s(%(geo_col)s, %(geometry)s, %%s) = 'TRUE'"
def __init__(self):
super(SDODWithin, self).__init__(self.dwithin_func)
class SDOGeomRelate(SpatialFunction):
"Class for using SDO_GEOM.RELATE."
relate_func = 'SDO_GEOM.RELATE'
sql_template = ("%(function)s(%(geo_col)s, '%(mask)s', %(geometry)s, "
"%(tolerance)s) %(operator)s '%(mask)s'")
def __init__(self, mask, tolerance=0.05):
# SDO_GEOM.RELATE(...) has a peculiar argument order: column, mask, geom, tolerance.
# Moreover, the runction result is the mask (e.g., 'DISJOINT' instead of 'TRUE').
super(SDOGeomRelate, self).__init__(self.relate_func, operator='=',
mask=mask, tolerance=tolerance)
class SDORelate(SpatialFunction):
"Class for using SDO_RELATE."
masks = 'TOUCH|OVERLAPBDYDISJOINT|OVERLAPBDYINTERSECT|EQUAL|INSIDE|COVEREDBY|CONTAINS|COVERS|ANYINTERACT|ON'
mask_regex = re.compile(r'^(%s)(\+(%s))*$' % (masks, masks), re.I)
sql_template = "%(function)s(%(geo_col)s, %(geometry)s, 'mask=%(mask)s') = 'TRUE'"
relate_func = 'SDO_RELATE'
def __init__(self, mask):
if not self.mask_regex.match(mask):
raise ValueError('Invalid %s mask: "%s"' % (self.relate_func, mask))
super(SDORelate, self).__init__(self.relate_func, mask=mask)
# Valid distance types and substitutions
dtypes = (Decimal, Distance, float, int, long)
class OracleOperations(DatabaseOperations, BaseSpatialOperations):
compiler_module = "django.contrib.gis.db.backends.oracle.compiler"
name = 'oracle'
oracle = True
valid_aggregates = dict([(a, None) for a in ('Union', 'Extent')])
Adapter = OracleSpatialAdapter
Adaptor = Adapter # Backwards-compatibility alias.
area = 'SDO_GEOM.SDO_AREA'
gml= 'SDO_UTIL.TO_GMLGEOMETRY'
centroid = 'SDO_GEOM.SDO_CENTROID'
difference = 'SDO_GEOM.SDO_DIFFERENCE'
distance = 'SDO_GEOM.SDO_DISTANCE'
extent= 'SDO_AGGR_MBR'
intersection= 'SDO_GEOM.SDO_INTERSECTION'
length = 'SDO_GEOM.SDO_LENGTH'
num_geom = 'SDO_UTIL.GETNUMELEM'
num_points = 'SDO_UTIL.GETNUMVERTICES'
perimeter = length
point_on_surface = 'SDO_GEOM.SDO_POINTONSURFACE'
reverse = 'SDO_UTIL.REVERSE_LINESTRING'
sym_difference = 'SDO_GEOM.SDO_XOR'
transform = 'SDO_CS.TRANSFORM'
union = 'SDO_GEOM.SDO_UNION'
unionagg = 'SDO_AGGR_UNION'
# We want to get SDO Geometries as WKT because it is much easier to
# instantiate GEOS proxies from WKT than SDO_GEOMETRY(...) strings.
# However, this adversely affects performance (i.e., Java is called
# to convert to WKT on every query). If someone wishes to write a
# SDO_GEOMETRY(...) parser in Python, let me know =)
select = 'SDO_UTIL.TO_WKTGEOMETRY(%s)'
distance_functions = {
'distance_gt' : (SDODistance('>'), dtypes),
'distance_gte' : (SDODistance('>='), dtypes),
'distance_lt' : (SDODistance('<'), dtypes),
'distance_lte' : (SDODistance('<='), dtypes),
'dwithin' : (SDODWithin(), dtypes),
}
geometry_functions = {
'contains' : SDOOperation('SDO_CONTAINS'),
'coveredby' : SDOOperation('SDO_COVEREDBY'),
'covers' : SDOOperation('SDO_COVERS'),
'disjoint' : SDOGeomRelate('DISJOINT'),
'intersects' : SDOOperation('SDO_OVERLAPBDYINTERSECT'), # TODO: Is this really the same as ST_Intersects()?
'equals' : SDOOperation('SDO_EQUAL'),
'exact' : SDOOperation('SDO_EQUAL'),
'overlaps' : SDOOperation('SDO_OVERLAPS'),
'same_as' : SDOOperation('SDO_EQUAL'),
'relate' : (SDORelate, basestring), # Oracle uses a different syntax, e.g., 'mask=inside+touch'
'touches' : SDOOperation('SDO_TOUCH'),
'within' : SDOOperation('SDO_INSIDE'),
}
geometry_functions.update(distance_functions)
gis_terms = ['isnull']
gis_terms += geometry_functions.keys()
gis_terms = dict([(term, None) for term in gis_terms])
truncate_params = {'relate' : None}
def __init__(self, connection):
super(OracleOperations, self).__init__()
self.connection = connection
def convert_extent(self, clob):
if clob:
# Generally, Oracle returns a polygon for the extent -- however,
# it can return a single point if there's only one Point in the
# table.
ext_geom = Geometry(clob.read())
gtype = str(ext_geom.geom_type)
if gtype == 'Polygon':
# Construct the 4-tuple from the coordinates in the polygon.
shell = ext_geom.shell
ll, ur = shell[0][:2], shell[2][:2]
elif gtype == 'Point':
ll = ext_geom.coords[:2]
ur = ll
else:
raise Exception('Unexpected geometry type returned for extent: %s' % gtype)
xmin, ymin = ll
xmax, ymax = ur
return (xmin, ymin, xmax, ymax)
else:
return None
def convert_geom(self, clob, geo_field):
if clob:
return Geometry(clob.read(), geo_field.srid)
else:
return None
def geo_db_type(self, f):
"""
Returns the geometry database type for Oracle. Unlike other spatial
backends, no stored procedure is necessary and it's the same for all
geometry types.
"""
return 'MDSYS.SDO_GEOMETRY'
def get_distance(self, f, value, lookup_type):
"""
Returns the distance parameters given the value and the lookup type.
On Oracle, geometry columns with a geodetic coordinate system behave
implicitly like a geography column, and thus meters will be used as
the distance parameter on them.
"""
if not value:
return []
value = value[0]
if isinstance(value, Distance):
if f.geodetic(self.connection):
dist_param = value.m
else:
dist_param = getattr(value, Distance.unit_attname(f.units_name(self.connection)))
else:
dist_param = value
# dwithin lookups on oracle require a special string parameter
# that starts with "distance=".
if lookup_type == 'dwithin':
dist_param = 'distance=%s' % dist_param
return [dist_param]
def get_geom_placeholder(self, f, value):
"""
Provides a proper substitution value for Geometries that are not in the
SRID of the field. Specifically, this routine will substitute in the
SDO_CS.TRANSFORM() function call.
"""
if value is None:
return 'NULL'
def transform_value(val, srid):
return val.srid != srid
if hasattr(value, 'expression'):
if transform_value(value, f.srid):
placeholder = '%s(%%s, %s)' % (self.transform, f.srid)
else:
placeholder = '%s'
# No geometry value used for F expression, substitue in
# the column name instead.
return placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
else:
if transform_value(value, f.srid):
return '%s(SDO_GEOMETRY(%%s, %s), %s)' % (self.transform, value.srid, f.srid)
else:
return 'SDO_GEOMETRY(%%s, %s)' % f.srid
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
"Returns the SQL WHERE clause for use in Oracle spatial SQL construction."
alias, col, db_type = lvalue
# Getting the quoted table name as `geo_col`.
geo_col = '%s.%s' % (qn(alias), qn(col))
# See if a Oracle Geometry function matches the lookup type next
lookup_info = self.geometry_functions.get(lookup_type, False)
if lookup_info:
# Lookup types that are tuples take tuple arguments, e.g., 'relate' and
# 'dwithin' lookup types.
if isinstance(lookup_info, tuple):
# First element of tuple is lookup type, second element is the type
# of the expected argument (e.g., str, float)
sdo_op, arg_type = lookup_info
geom = value[0]
# Ensuring that a tuple _value_ was passed in from the user
if not isinstance(value, tuple):
raise ValueError('Tuple required for `%s` lookup type.' % lookup_type)
if len(value) != 2:
raise ValueError('2-element tuple required for %s lookup type.' % lookup_type)
# Ensuring the argument type matches what we expect.
if not isinstance(value[1], arg_type):
raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1])))
if lookup_type == 'relate':
# The SDORelate class handles construction for these queries,
# and verifies the mask argument.
return sdo_op(value[1]).as_sql(geo_col, self.get_geom_placeholder(field, geom))
else:
# Otherwise, just call the `as_sql` method on the SDOOperation instance.
return sdo_op.as_sql(geo_col, self.get_geom_placeholder(field, geom))
else:
# Lookup info is a SDOOperation instance, whose `as_sql` method returns
# the SQL necessary for the geometry function call. For example:
# SDO_CONTAINS("geoapp_country"."poly", SDO_GEOMTRY('POINT(5 23)', 4326)) = 'TRUE'
return lookup_info.as_sql(geo_col, self.get_geom_placeholder(field, value))
elif lookup_type == 'isnull':
# Handling 'isnull' lookup type
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
def spatial_aggregate_sql(self, agg):
"""
Returns the spatial aggregate SQL template and function for the
given Aggregate instance.
"""
agg_name = agg.__class__.__name__.lower()
if agg_name == 'union' : agg_name += 'agg'
if agg.is_extent:
sql_template = '%(function)s(%(field)s)'
else:
sql_template = '%(function)s(SDOAGGRTYPE(%(field)s,%(tolerance)s))'
sql_function = getattr(self, agg_name)
return self.select % sql_template, sql_function
# Routines for getting the OGC-compliant models.
def geometry_columns(self):
from django.contrib.gis.db.backends.oracle.models import GeometryColumns
return GeometryColumns
def spatial_ref_sys(self):
from django.contrib.gis.db.backends.oracle.models import SpatialRefSys
return SpatialRefSys
| 12,595 | Python | .py | 255 | 39.717647 | 115 | 0.617298 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,646 | adapter.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/oracle/adapter.py | from cx_Oracle import CLOB
from django.contrib.gis.db.backends.adapter import WKTAdapter
class OracleSpatialAdapter(WKTAdapter):
input_size = CLOB
| 152 | Python | .py | 4 | 35.75 | 61 | 0.836735 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,647 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/models.py | """
The GeometryColumns and SpatialRefSys models for the SpatiaLite backend.
"""
from django.db import models
from django.contrib.gis.db.backends.base import SpatialRefSysMixin
class GeometryColumns(models.Model):
"""
The 'geometry_columns' table from SpatiaLite.
"""
f_table_name = models.CharField(max_length=256)
f_geometry_column = models.CharField(max_length=256)
type = models.CharField(max_length=30)
coord_dimension = models.IntegerField()
srid = models.IntegerField(primary_key=True)
spatial_index_enabled = models.IntegerField()
class Meta:
db_table = 'geometry_columns'
managed = False
@classmethod
def table_name_col(cls):
"""
Returns the name of the metadata column used to store the
the feature table name.
"""
return 'f_table_name'
@classmethod
def geom_col_name(cls):
"""
Returns the name of the metadata column used to store the
the feature geometry column.
"""
return 'f_geometry_column'
def __unicode__(self):
return "%s.%s - %dD %s field (SRID: %d)" % \
(self.f_table_name, self.f_geometry_column,
self.coord_dimension, self.type, self.srid)
class SpatialRefSys(models.Model, SpatialRefSysMixin):
"""
The 'spatial_ref_sys' table from SpatiaLite.
"""
srid = models.IntegerField(primary_key=True)
auth_name = models.CharField(max_length=256)
auth_srid = models.IntegerField()
ref_sys_name = models.CharField(max_length=256)
proj4text = models.CharField(max_length=2048)
@property
def wkt(self):
from django.contrib.gis.gdal import SpatialReference
return SpatialReference(self.proj4text).wkt
class Meta:
db_table = 'spatial_ref_sys'
managed = False
| 1,847 | Python | .py | 52 | 29.134615 | 73 | 0.670957 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,648 | creation.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/creation.py | import os
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.core.management import call_command
from django.db.backends.sqlite3.creation import DatabaseCreation
class SpatiaLiteCreation(DatabaseCreation):
def create_test_db(self, verbosity=1, autoclobber=False):
"""
Creates a test database, prompting the user for confirmation if the
database already exists. Returns the name of the test database created.
This method is overloaded to load up the SpatiaLite initialization
SQL prior to calling the `syncdb` command.
"""
if verbosity >= 1:
print "Creating test database '%s'..." % self.connection.alias
test_database_name = self._create_test_db(verbosity, autoclobber)
self.connection.close()
self.connection.settings_dict["NAME"] = test_database_name
can_rollback = self._rollback_works()
self.connection.settings_dict["SUPPORTS_TRANSACTIONS"] = can_rollback
# Need to load the SpatiaLite initialization SQL before running `syncdb`.
self.load_spatialite_sql()
call_command('syncdb', verbosity=verbosity, interactive=False, database=self.connection.alias)
if settings.CACHE_BACKEND.startswith('db://'):
from django.core.cache import parse_backend_uri
_, cache_name, _ = parse_backend_uri(settings.CACHE_BACKEND)
call_command('createcachetable', cache_name)
# Get a cursor (even though we don't need one yet). This has
# the side effect of initializing the test database.
cursor = self.connection.cursor()
return test_database_name
def sql_indexes_for_field(self, model, f, style):
"Return any spatial index creation SQL for the field."
from django.contrib.gis.db.models.fields import GeometryField
output = super(SpatiaLiteCreation, self).sql_indexes_for_field(model, f, style)
if isinstance(f, GeometryField):
gqn = self.connection.ops.geo_quote_name
qn = self.connection.ops.quote_name
db_table = model._meta.db_table
output.append(style.SQL_KEYWORD('SELECT ') +
style.SQL_TABLE('AddGeometryColumn') + '(' +
style.SQL_TABLE(gqn(db_table)) + ', ' +
style.SQL_FIELD(gqn(f.column)) + ', ' +
style.SQL_FIELD(str(f.srid)) + ', ' +
style.SQL_COLTYPE(gqn(f.geom_type)) + ', ' +
style.SQL_KEYWORD(str(f.dim)) + ', ' +
style.SQL_KEYWORD(str(int(not f.null))) +
');')
if f.spatial_index:
output.append(style.SQL_KEYWORD('SELECT ') +
style.SQL_TABLE('CreateSpatialIndex') + '(' +
style.SQL_TABLE(gqn(db_table)) + ', ' +
style.SQL_FIELD(gqn(f.column)) + ');')
return output
def load_spatialite_sql(self):
"""
This routine loads up the SpatiaLite SQL file.
"""
# Getting the location of the SpatiaLite SQL file, and confirming
# it exists.
spatialite_sql = self.spatialite_init_file()
if not os.path.isfile(spatialite_sql):
raise ImproperlyConfigured('Could not find the required SpatiaLite initialization '
'SQL file (necessary for testing): %s' % spatialite_sql)
# Opening up the SpatiaLite SQL initialization file and executing
# as a script.
sql_fh = open(spatialite_sql, 'r')
try:
cur = self.connection._cursor()
cur.executescript(sql_fh.read())
finally:
sql_fh.close()
def spatialite_init_file(self):
# SPATIALITE_SQL may be placed in settings to tell GeoDjango
# to use a specific path to the SpatiaLite initilization SQL.
return getattr(settings, 'SPATIALITE_SQL',
'init_spatialite-%s.%s.sql' %
self.connection.ops.spatial_version[:2])
| 4,193 | Python | .py | 78 | 41.102564 | 102 | 0.607274 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,649 | introspection.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/introspection.py | from django.contrib.gis.gdal import OGRGeomType
from django.db.backends.sqlite3.introspection import DatabaseIntrospection, FlexibleFieldLookupDict
class GeoFlexibleFieldLookupDict(FlexibleFieldLookupDict):
"""
Sublcass that includes updates the `base_data_types_reverse` dict
for geometry field types.
"""
base_data_types_reverse = FlexibleFieldLookupDict.base_data_types_reverse.copy()
base_data_types_reverse.update(
{'point' : 'GeometryField',
'linestring' : 'GeometryField',
'polygon' : 'GeometryField',
'multipoint' : 'GeometryField',
'multilinestring' : 'GeometryField',
'multipolygon' : 'GeometryField',
'geometrycollection' : 'GeometryField',
})
class SpatiaLiteIntrospection(DatabaseIntrospection):
data_types_reverse = GeoFlexibleFieldLookupDict()
def get_geometry_type(self, table_name, geo_col):
cursor = self.connection.cursor()
try:
# Querying the `geometry_columns` table to get additional metadata.
cursor.execute('SELECT "coord_dimension", "srid", "type" '
'FROM "geometry_columns" '
'WHERE "f_table_name"=%s AND "f_geometry_column"=%s',
(table_name, geo_col))
row = cursor.fetchone()
if not row:
raise Exception('Could not find a geometry column for "%s"."%s"' %
(table_name, geo_col))
# OGRGeomType does not require GDAL and makes it easy to convert
# from OGC geom type name to Django field.
field_type = OGRGeomType(row[2]).django
# Getting any GeometryField keyword arguments that are not the default.
dim = row[0]
srid = row[1]
field_params = {}
if srid != 4326:
field_params['srid'] = srid
if isinstance(dim, basestring) and 'Z' in dim:
field_params['dim'] = 3
finally:
cursor.close()
return field_type, field_params
| 2,112 | Python | .py | 45 | 35.488889 | 99 | 0.606016 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,650 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/base.py | from ctypes.util import find_library
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured
from django.db.backends.sqlite3.base import *
from django.db.backends.sqlite3.base import DatabaseWrapper as SqliteDatabaseWrapper, \
_sqlite_extract, _sqlite_date_trunc, _sqlite_regexp
from django.contrib.gis.db.backends.spatialite.client import SpatiaLiteClient
from django.contrib.gis.db.backends.spatialite.creation import SpatiaLiteCreation
from django.contrib.gis.db.backends.spatialite.introspection import SpatiaLiteIntrospection
from django.contrib.gis.db.backends.spatialite.operations import SpatiaLiteOperations
class DatabaseWrapper(SqliteDatabaseWrapper):
def __init__(self, *args, **kwargs):
# Before we get too far, make sure pysqlite 2.5+ is installed.
if Database.version_info < (2, 5, 0):
raise ImproperlyConfigured('Only versions of pysqlite 2.5+ are '
'compatible with SpatiaLite and GeoDjango.')
# Trying to find the location of the SpatiaLite library.
# Here we are figuring out the path to the SpatiaLite library
# (`libspatialite`). If it's not in the system library path (e.g., it
# cannot be found by `ctypes.util.find_library`), then it may be set
# manually in the settings via the `SPATIALITE_LIBRARY_PATH` setting.
self.spatialite_lib = getattr(settings, 'SPATIALITE_LIBRARY_PATH',
find_library('spatialite'))
if not self.spatialite_lib:
raise ImproperlyConfigured('Unable to locate the SpatiaLite library. '
'Make sure it is in your library path, or set '
'SPATIALITE_LIBRARY_PATH in your settings.'
)
super(DatabaseWrapper, self).__init__(*args, **kwargs)
self.ops = SpatiaLiteOperations(self)
self.client = SpatiaLiteClient(self)
self.creation = SpatiaLiteCreation(self)
self.introspection = SpatiaLiteIntrospection(self)
def _cursor(self):
if self.connection is None:
## The following is the same as in django.db.backends.sqlite3.base ##
settings_dict = self.settings_dict
if not settings_dict['NAME']:
raise ImproperlyConfigured("Please fill out the database NAME in the settings module before using the database.")
kwargs = {
'database': settings_dict['NAME'],
'detect_types': Database.PARSE_DECLTYPES | Database.PARSE_COLNAMES,
}
kwargs.update(settings_dict['OPTIONS'])
self.connection = Database.connect(**kwargs)
# Register extract, date_trunc, and regexp functions.
self.connection.create_function("django_extract", 2, _sqlite_extract)
self.connection.create_function("django_date_trunc", 2, _sqlite_date_trunc)
self.connection.create_function("regexp", 2, _sqlite_regexp)
connection_created.send(sender=self.__class__, connection=self)
## From here on, customized for GeoDjango ##
# Enabling extension loading on the SQLite connection.
try:
self.connection.enable_load_extension(True)
except AttributeError:
raise ImproperlyConfigured('The pysqlite library does not support C extension loading. '
'Both SQLite and pysqlite must be configured to allow '
'the loading of extensions to use SpatiaLite.'
)
# Loading the SpatiaLite library extension on the connection, and returning
# the created cursor.
cur = self.connection.cursor(factory=SQLiteCursorWrapper)
try:
cur.execute("SELECT load_extension(%s)", (self.spatialite_lib,))
except Exception, msg:
raise ImproperlyConfigured('Unable to load the SpatiaLite library extension '
'"%s" because: %s' % (self.spatialite_lib, msg))
return cur
else:
return self.connection.cursor(factory=SQLiteCursorWrapper)
| 4,347 | Python | .py | 70 | 47.885714 | 129 | 0.633958 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,651 | operations.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/operations.py | import re
from decimal import Decimal
from django.contrib.gis.db.backends.base import BaseSpatialOperations
from django.contrib.gis.db.backends.util import SpatialOperation, SpatialFunction
from django.contrib.gis.db.backends.spatialite.adapter import SpatiaLiteAdapter
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.measure import Distance
from django.core.exceptions import ImproperlyConfigured
from django.db.backends.sqlite3.base import DatabaseOperations
from django.db.utils import DatabaseError
class SpatiaLiteOperator(SpatialOperation):
"For SpatiaLite operators (e.g. `&&`, `~`)."
def __init__(self, operator):
super(SpatiaLiteOperator, self).__init__(operator=operator)
class SpatiaLiteFunction(SpatialFunction):
"For SpatiaLite function calls."
def __init__(self, function, **kwargs):
super(SpatiaLiteFunction, self).__init__(function, **kwargs)
class SpatiaLiteFunctionParam(SpatiaLiteFunction):
"For SpatiaLite functions that take another parameter."
sql_template = '%(function)s(%(geo_col)s, %(geometry)s, %%s)'
class SpatiaLiteDistance(SpatiaLiteFunction):
"For SpatiaLite distance operations."
dist_func = 'Distance'
sql_template = '%(function)s(%(geo_col)s, %(geometry)s) %(operator)s %%s'
def __init__(self, operator):
super(SpatiaLiteDistance, self).__init__(self.dist_func,
operator=operator)
class SpatiaLiteRelate(SpatiaLiteFunctionParam):
"For SpatiaLite Relate(<geom>, <pattern>) calls."
pattern_regex = re.compile(r'^[012TF\*]{9}$')
def __init__(self, pattern):
if not self.pattern_regex.match(pattern):
raise ValueError('Invalid intersection matrix pattern "%s".' % pattern)
super(SpatiaLiteRelate, self).__init__('Relate')
# Valid distance types and substitutions
dtypes = (Decimal, Distance, float, int, long)
def get_dist_ops(operator):
"Returns operations for regular distances; spherical distances are not currently supported."
return (SpatiaLiteDistance(operator),)
class SpatiaLiteOperations(DatabaseOperations, BaseSpatialOperations):
compiler_module = 'django.contrib.gis.db.models.sql.compiler'
name = 'spatialite'
spatialite = True
version_regex = re.compile(r'^(?P<major>\d)\.(?P<minor1>\d)\.(?P<minor2>\d+)')
valid_aggregates = dict([(k, None) for k in ('Extent', 'Union')])
Adapter = SpatiaLiteAdapter
Adaptor = Adapter # Backwards-compatibility alias.
area = 'Area'
centroid = 'Centroid'
contained = 'MbrWithin'
difference = 'Difference'
distance = 'Distance'
envelope = 'Envelope'
intersection = 'Intersection'
length = 'GLength' # OpenGis defines Length, but this conflicts with an SQLite reserved keyword
num_geom = 'NumGeometries'
num_points = 'NumPoints'
point_on_surface = 'PointOnSurface'
scale = 'ScaleCoords'
svg = 'AsSVG'
sym_difference = 'SymDifference'
transform = 'Transform'
translate = 'ShiftCoords'
union = 'GUnion' # OpenGis defines Union, but this conflicts with an SQLite reserved keyword
unionagg = 'GUnion'
from_text = 'GeomFromText'
from_wkb = 'GeomFromWKB'
select = 'AsText(%s)'
geometry_functions = {
'equals' : SpatiaLiteFunction('Equals'),
'disjoint' : SpatiaLiteFunction('Disjoint'),
'touches' : SpatiaLiteFunction('Touches'),
'crosses' : SpatiaLiteFunction('Crosses'),
'within' : SpatiaLiteFunction('Within'),
'overlaps' : SpatiaLiteFunction('Overlaps'),
'contains' : SpatiaLiteFunction('Contains'),
'intersects' : SpatiaLiteFunction('Intersects'),
'relate' : (SpatiaLiteRelate, basestring),
# Retruns true if B's bounding box completely contains A's bounding box.
'contained' : SpatiaLiteFunction('MbrWithin'),
# Returns true if A's bounding box completely contains B's bounding box.
'bbcontains' : SpatiaLiteFunction('MbrContains'),
# Returns true if A's bounding box overlaps B's bounding box.
'bboverlaps' : SpatiaLiteFunction('MbrOverlaps'),
# These are implemented here as synonyms for Equals
'same_as' : SpatiaLiteFunction('Equals'),
'exact' : SpatiaLiteFunction('Equals'),
}
distance_functions = {
'distance_gt' : (get_dist_ops('>'), dtypes),
'distance_gte' : (get_dist_ops('>='), dtypes),
'distance_lt' : (get_dist_ops('<'), dtypes),
'distance_lte' : (get_dist_ops('<='), dtypes),
}
geometry_functions.update(distance_functions)
def __init__(self, connection):
super(DatabaseOperations, self).__init__()
self.connection = connection
# Determine the version of the SpatiaLite library.
try:
vtup = self.spatialite_version_tuple()
version = vtup[1:]
if version < (2, 3, 0):
raise ImproperlyConfigured('GeoDjango only supports SpatiaLite versions '
'2.3.0 and above')
self.spatial_version = version
except ImproperlyConfigured:
raise
except Exception, msg:
raise ImproperlyConfigured('Cannot determine the SpatiaLite version for the "%s" '
'database (error was "%s"). Was the SpatiaLite initialization '
'SQL loaded on this database?' %
(self.connection.settings_dict['NAME'], msg))
# Creating the GIS terms dictionary.
gis_terms = ['isnull']
gis_terms += self.geometry_functions.keys()
self.gis_terms = dict([(term, None) for term in gis_terms])
def check_aggregate_support(self, aggregate):
"""
Checks if the given aggregate name is supported (that is, if it's
in `self.valid_aggregates`).
"""
agg_name = aggregate.__class__.__name__
return agg_name in self.valid_aggregates
def convert_geom(self, wkt, geo_field):
"""
Converts geometry WKT returned from a SpatiaLite aggregate.
"""
if wkt:
return Geometry(wkt, geo_field.srid)
else:
return None
def geo_db_type(self, f):
"""
Returns None because geometry columnas are added via the
`AddGeometryColumn` stored procedure on SpatiaLite.
"""
return None
def get_distance(self, f, value, lookup_type):
"""
Returns the distance parameters for the given geometry field,
lookup value, and lookup type. SpatiaLite only supports regular
cartesian-based queries (no spheroid/sphere calculations for point
geometries like PostGIS).
"""
if not value:
return []
value = value[0]
if isinstance(value, Distance):
if f.geodetic(self.connection):
raise ValueError('SpatiaLite does not support distance queries on '
'geometry fields with a geodetic coordinate system. '
'Distance objects; use a numeric value of your '
'distance in degrees instead.')
else:
dist_param = getattr(value, Distance.unit_attname(f.units_name(self.connection)))
else:
dist_param = value
return [dist_param]
def get_geom_placeholder(self, f, value):
"""
Provides a proper substitution value for Geometries that are not in the
SRID of the field. Specifically, this routine will substitute in the
Transform() and GeomFromText() function call(s).
"""
def transform_value(value, srid):
return not (value is None or value.srid == srid)
if hasattr(value, 'expression'):
if transform_value(value, f.srid):
placeholder = '%s(%%s, %s)' % (self.transform, f.srid)
else:
placeholder = '%s'
# No geometry value used for F expression, substitue in
# the column name instead.
return placeholder % '%s.%s' % tuple(map(self.quote_name, value.cols[value.expression]))
else:
if transform_value(value, f.srid):
# Adding Transform() to the SQL placeholder.
return '%s(%s(%%s,%s), %s)' % (self.transform, self.from_text, value.srid, f.srid)
else:
return '%s(%%s,%s)' % (self.from_text, f.srid)
def _get_spatialite_func(self, func):
"""
Helper routine for calling SpatiaLite functions and returning
their result.
"""
cursor = self.connection._cursor()
try:
try:
cursor.execute('SELECT %s' % func)
row = cursor.fetchone()
except:
# Responsibility of caller to perform error handling.
raise
finally:
cursor.close()
return row[0]
def geos_version(self):
"Returns the version of GEOS used by SpatiaLite as a string."
return self._get_spatialite_func('geos_version()')
def proj4_version(self):
"Returns the version of the PROJ.4 library used by SpatiaLite."
return self._get_spatialite_func('proj4_version()')
def spatialite_version(self):
"Returns the SpatiaLite library version as a string."
return self._get_spatialite_func('spatialite_version()')
def spatialite_version_tuple(self):
"""
Returns the SpatiaLite version as a tuple (version string, major,
minor, subminor).
"""
# Getting the SpatiaLite version.
try:
version = self.spatialite_version()
except DatabaseError:
# The `spatialite_version` function first appeared in version 2.3.1
# of SpatiaLite, so doing a fallback test for 2.3.0 (which is
# used by popular Debian/Ubuntu packages).
version = None
try:
tmp = self._get_spatialite_func("X(GeomFromText('POINT(1 1)'))")
if tmp == 1.0: version = '2.3.0'
except DatabaseError:
pass
# If no version string defined, then just re-raise the original
# exception.
if version is None: raise
m = self.version_regex.match(version)
if m:
major = int(m.group('major'))
minor1 = int(m.group('minor1'))
minor2 = int(m.group('minor2'))
else:
raise Exception('Could not parse SpatiaLite version string: %s' % version)
return (version, major, minor1, minor2)
def spatial_aggregate_sql(self, agg):
"""
Returns the spatial aggregate SQL template and function for the
given Aggregate instance.
"""
agg_name = agg.__class__.__name__
if not self.check_aggregate_support(agg):
raise NotImplementedError('%s spatial aggregate is not implmented for this backend.' % agg_name)
agg_name = agg_name.lower()
if agg_name == 'union': agg_name += 'agg'
sql_template = self.select % '%(function)s(%(field)s)'
sql_function = getattr(self, agg_name)
return sql_template, sql_function
def spatial_lookup_sql(self, lvalue, lookup_type, value, field, qn):
"""
Returns the SpatiaLite-specific SQL for the given lookup value
[a tuple of (alias, column, db_type)], lookup type, lookup
value, the model field, and the quoting function.
"""
alias, col, db_type = lvalue
# Getting the quoted field as `geo_col`.
geo_col = '%s.%s' % (qn(alias), qn(col))
if lookup_type in self.geometry_functions:
# See if a SpatiaLite geometry function matches the lookup type.
tmp = self.geometry_functions[lookup_type]
# Lookup types that are tuples take tuple arguments, e.g., 'relate' and
# distance lookups.
if isinstance(tmp, tuple):
# First element of tuple is the SpatiaLiteOperation instance, and the
# second element is either the type or a tuple of acceptable types
# that may passed in as further parameters for the lookup type.
op, arg_type = tmp
# Ensuring that a tuple _value_ was passed in from the user
if not isinstance(value, (tuple, list)):
raise ValueError('Tuple required for `%s` lookup type.' % lookup_type)
# Geometry is first element of lookup tuple.
geom = value[0]
# Number of valid tuple parameters depends on the lookup type.
if len(value) != 2:
raise ValueError('Incorrect number of parameters given for `%s` lookup type.' % lookup_type)
# Ensuring the argument type matches what we expect.
if not isinstance(value[1], arg_type):
raise ValueError('Argument type should be %s, got %s instead.' % (arg_type, type(value[1])))
# For lookup type `relate`, the op instance is not yet created (has
# to be instantiated here to check the pattern parameter).
if lookup_type == 'relate':
op = op(value[1])
elif lookup_type in self.distance_functions:
op = op[0]
else:
op = tmp
geom = value
# Calling the `as_sql` function on the operation instance.
return op.as_sql(geo_col, self.get_geom_placeholder(field, geom))
elif lookup_type == 'isnull':
# Handling 'isnull' lookup type
return "%s IS %sNULL" % (geo_col, (not value and 'NOT ' or ''))
raise TypeError("Got invalid lookup_type: %s" % repr(lookup_type))
# Routines for getting the OGC-compliant models.
def geometry_columns(self):
from django.contrib.gis.db.backends.spatialite.models import GeometryColumns
return GeometryColumns
def spatial_ref_sys(self):
from django.contrib.gis.db.backends.spatialite.models import SpatialRefSys
return SpatialRefSys
| 14,391 | Python | .py | 301 | 37.461794 | 112 | 0.61781 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,652 | adapter.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/db/backends/spatialite/adapter.py | from django.db.backends.sqlite3.base import Database
from django.contrib.gis.db.backends.adapter import WKTAdapter
class SpatiaLiteAdapter(WKTAdapter):
"SQLite adaptor for geometry objects."
def __conform__(self, protocol):
if protocol is Database.PrepareProtocol:
return str(self)
| 311 | Python | .py | 7 | 39.285714 | 61 | 0.762376 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,653 | ogrinspect.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/ogrinspect.py | """
This module is for inspecting OGR data sources and generating either
models for GeoDjango and/or mapping dictionaries for use with the
`LayerMapping` utility.
Author: Travis Pinney, Dane Springmeyer, & Justin Bronn
"""
from itertools import izip
# Requires GDAL to use.
from django.contrib.gis.gdal import DataSource
from django.contrib.gis.gdal.field import OFTDate, OFTDateTime, OFTInteger, OFTReal, OFTString, OFTTime
def mapping(data_source, geom_name='geom', layer_key=0, multi_geom=False):
"""
Given a DataSource, generates a dictionary that may be used
for invoking the LayerMapping utility.
Keyword Arguments:
`geom_name` => The name of the geometry field to use for the model.
`layer_key` => The key for specifying which layer in the DataSource to use;
defaults to 0 (the first layer). May be an integer index or a string
identifier for the layer.
`multi_geom` => Boolean (default: False) - specify as multigeometry.
"""
if isinstance(data_source, basestring):
# Instantiating the DataSource from the string.
data_source = DataSource(data_source)
elif isinstance(data_source, DataSource):
pass
else:
raise TypeError('Data source parameter must be a string or a DataSource object.')
# Creating the dictionary.
_mapping = {}
# Generating the field name for each field in the layer.
for field in data_source[layer_key].fields:
mfield = field.lower()
if mfield[-1:] == '_': mfield += 'field'
_mapping[mfield] = field
gtype = data_source[layer_key].geom_type
if multi_geom and gtype.num in (1, 2, 3): prefix = 'MULTI'
else: prefix = ''
_mapping[geom_name] = prefix + str(gtype).upper()
return _mapping
def ogrinspect(*args, **kwargs):
"""
Given a data source (either a string or a DataSource object) and a string
model name this function will generate a GeoDjango model.
Usage:
>>> from django.contrib.gis.utils import ogrinspect
>>> ogrinspect('/path/to/shapefile.shp','NewModel')
...will print model definition to stout
or put this in a python script and use to redirect the output to a new
model like:
$ python generate_model.py > myapp/models.py
# generate_model.py
from django.contrib.gis.utils import ogrinspect
shp_file = 'data/mapping_hacks/world_borders.shp'
model_name = 'WorldBorders'
print ogrinspect(shp_file, model_name, multi_geom=True, srid=4326,
geom_name='shapes', blank=True)
Required Arguments
`datasource` => string or DataSource object to file pointer
`model name` => string of name of new model class to create
Optional Keyword Arguments
`geom_name` => For specifying the model name for the Geometry Field.
Otherwise will default to `geom`
`layer_key` => The key for specifying which layer in the DataSource to use;
defaults to 0 (the first layer). May be an integer index or a string
identifier for the layer.
`srid` => The SRID to use for the Geometry Field. If it can be determined,
the SRID of the datasource is used.
`multi_geom` => Boolean (default: False) - specify as multigeometry.
`name_field` => String - specifies a field name to return for the
`__unicode__` function (which will be generated if specified).
`imports` => Boolean (default: True) - set to False to omit the
`from django.contrib.gis.db import models` code from the
autogenerated models thus avoiding duplicated imports when building
more than one model by batching ogrinspect()
`decimal` => Boolean or sequence (default: False). When set to True
all generated model fields corresponding to the `OFTReal` type will
be `DecimalField` instead of `FloatField`. A sequence of specific
field names to generate as `DecimalField` may also be used.
`blank` => Boolean or sequence (default: False). When set to True all
generated model fields will have `blank=True`. If the user wants to
give specific fields to have blank, then a list/tuple of OGR field
names may be used.
`null` => Boolean (default: False) - When set to True all generated
model fields will have `null=True`. If the user wants to specify
give specific fields to have null, then a list/tuple of OGR field
names may be used.
Note: This routine calls the _ogrinspect() helper to do the heavy lifting.
"""
return '\n'.join(s for s in _ogrinspect(*args, **kwargs))
def _ogrinspect(data_source, model_name, geom_name='geom', layer_key=0, srid=None,
multi_geom=False, name_field=None, imports=True,
decimal=False, blank=False, null=False):
"""
Helper routine for `ogrinspect` that generates GeoDjango models corresponding
to the given data source. See the `ogrinspect` docstring for more details.
"""
# Getting the DataSource
if isinstance(data_source, str):
data_source = DataSource(data_source)
elif isinstance(data_source, DataSource):
pass
else:
raise TypeError('Data source parameter must be a string or a DataSource object.')
# Getting the layer corresponding to the layer key and getting
# a string listing of all OGR fields in the Layer.
layer = data_source[layer_key]
ogr_fields = layer.fields
# Creating lists from the `null`, `blank`, and `decimal`
# keyword arguments.
def process_kwarg(kwarg):
if isinstance(kwarg, (list, tuple)):
return [s.lower() for s in kwarg]
elif kwarg:
return [s.lower() for s in ogr_fields]
else:
return []
null_fields = process_kwarg(null)
blank_fields = process_kwarg(blank)
decimal_fields = process_kwarg(decimal)
# Gets the `null` and `blank` keywords for the given field name.
def get_kwargs_str(field_name):
kwlist = []
if field_name.lower() in null_fields: kwlist.append('null=True')
if field_name.lower() in blank_fields: kwlist.append('blank=True')
if kwlist: return ', ' + ', '.join(kwlist)
else: return ''
# For those wishing to disable the imports.
if imports:
yield '# This is an auto-generated Django model module created by ogrinspect.'
yield 'from django.contrib.gis.db import models'
yield ''
yield 'class %s(models.Model):' % model_name
for field_name, width, precision, field_type in izip(ogr_fields, layer.field_widths, layer.field_precisions, layer.field_types):
# The model field name.
mfield = field_name.lower()
if mfield[-1:] == '_': mfield += 'field'
# Getting the keyword args string.
kwargs_str = get_kwargs_str(field_name)
if field_type is OFTReal:
# By default OFTReals are mapped to `FloatField`, however, they
# may also be mapped to `DecimalField` if specified in the
# `decimal` keyword.
if field_name.lower() in decimal_fields:
yield ' %s = models.DecimalField(max_digits=%d, decimal_places=%d%s)' % (mfield, width, precision, kwargs_str)
else:
yield ' %s = models.FloatField(%s)' % (mfield, kwargs_str[2:])
elif field_type is OFTInteger:
yield ' %s = models.IntegerField(%s)' % (mfield, kwargs_str[2:])
elif field_type is OFTString:
yield ' %s = models.CharField(max_length=%s%s)' % (mfield, width, kwargs_str)
elif field_type is OFTDate:
yield ' %s = models.DateField(%s)' % (mfield, kwargs_str[2:])
elif field_type is OFTDateTime:
yield ' %s = models.DateTimeField(%s)' % (mfield, kwargs_str[2:])
elif field_type is OFTDate:
yield ' %s = models.TimeField(%s)' % (mfield, kwargs_str[2:])
else:
raise TypeError('Unknown field type %s in %s' % (field_type, mfield))
# TODO: Autodetection of multigeometry types (see #7218).
gtype = layer.geom_type
if multi_geom and gtype.num in (1, 2, 3):
geom_field = 'Multi%s' % gtype.django
else:
geom_field = gtype.django
# Setting up the SRID keyword string.
if srid is None:
if layer.srs is None:
srid_str = 'srid=-1'
else:
srid = layer.srs.srid
if srid is None:
srid_str = 'srid=-1'
elif srid == 4326:
# WGS84 is already the default.
srid_str = ''
else:
srid_str = 'srid=%s' % srid
else:
srid_str = 'srid=%s' % srid
yield ' %s = models.%s(%s)' % (geom_name, geom_field, srid_str)
yield ' objects = models.GeoManager()'
if name_field:
yield ''
yield ' def __unicode__(self): return self.%s' % name_field
| 8,939 | Python | .py | 185 | 40.702703 | 132 | 0.652054 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,654 | ogrinfo.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/ogrinfo.py | """
This module includes some utility functions for inspecting the layout
of a GDAL data source -- the functionality is analogous to the output
produced by the `ogrinfo` utility.
"""
from django.contrib.gis.gdal import DataSource
from django.contrib.gis.gdal.geometries import GEO_CLASSES
def ogrinfo(data_source, num_features=10):
"""
Walks the available layers in the supplied `data_source`, displaying
the fields for the first `num_features` features.
"""
# Checking the parameters.
if isinstance(data_source, str):
data_source = DataSource(data_source)
elif isinstance(data_source, DataSource):
pass
else:
raise Exception('Data source parameter must be a string or a DataSource object.')
for i, layer in enumerate(data_source):
print "data source : %s" % data_source.name
print "==== layer %s" % i
print " shape type: %s" % GEO_CLASSES[layer.geom_type.num].__name__
print " # features: %s" % len(layer)
print " srs: %s" % layer.srs
extent_tup = layer.extent.tuple
print " extent: %s - %s" % (extent_tup[0:2], extent_tup[2:4])
print "Displaying the first %s features ====" % num_features
width = max(*map(len,layer.fields))
fmt = " %%%ss: %%s" % width
for j, feature in enumerate(layer[:num_features]):
print "=== Feature %s" % j
for fld_name in layer.fields:
type_name = feature[fld_name].type_name
output = fmt % (fld_name, type_name)
val = feature.get(fld_name)
if val:
if isinstance(val, str):
val_fmt = ' ("%s")'
else:
val_fmt = ' (%s)'
output += val_fmt % val
else:
output += ' (None)'
print output
# For backwards compatibility.
sample = ogrinfo
| 1,973 | Python | .py | 47 | 32.425532 | 89 | 0.576042 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,655 | geoip.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/geoip.py | """
This module houses the GeoIP object, a ctypes wrapper for the MaxMind GeoIP(R)
C API (http://www.maxmind.com/app/c). This is an alternative to the GPL
licensed Python GeoIP interface provided by MaxMind.
GeoIP(R) is a registered trademark of MaxMind, LLC of Boston, Massachusetts.
For IP-based geolocation, this module requires the GeoLite Country and City
datasets, in binary format (CSV will not work!). The datasets may be
downloaded from MaxMind at http://www.maxmind.com/download/geoip/database/.
Grab GeoIP.dat.gz and GeoLiteCity.dat.gz, and unzip them in the directory
corresponding to settings.GEOIP_PATH. See the GeoIP docstring and examples
below for more details.
TODO: Verify compatibility with Windows.
Example:
>>> from django.contrib.gis.utils import GeoIP
>>> g = GeoIP()
>>> g.country('google.com')
{'country_code': 'US', 'country_name': 'United States'}
>>> g.city('72.14.207.99')
{'area_code': 650,
'city': 'Mountain View',
'country_code': 'US',
'country_code3': 'USA',
'country_name': 'United States',
'dma_code': 807,
'latitude': 37.419200897216797,
'longitude': -122.05740356445312,
'postal_code': '94043',
'region': 'CA'}
>>> g.lat_lon('salon.com')
(37.789798736572266, -122.39420318603516)
>>> g.lon_lat('uh.edu')
(-95.415199279785156, 29.77549934387207)
>>> g.geos('24.124.1.80').wkt
'POINT (-95.2087020874023438 39.0392990112304688)'
"""
import os, re
from ctypes import c_char_p, c_float, c_int, Structure, CDLL, POINTER
from ctypes.util import find_library
from django.conf import settings
if not settings.configured: settings.configure()
# Creating the settings dictionary with any settings, if needed.
GEOIP_SETTINGS = dict((key, getattr(settings, key))
for key in ('GEOIP_PATH', 'GEOIP_LIBRARY_PATH', 'GEOIP_COUNTRY', 'GEOIP_CITY')
if hasattr(settings, key))
lib_path = GEOIP_SETTINGS.get('GEOIP_LIBRARY_PATH', None)
# GeoIP Exception class.
class GeoIPException(Exception): pass
# The shared library for the GeoIP C API. May be downloaded
# from http://www.maxmind.com/download/geoip/api/c/
if lib_path:
lib_name = None
else:
# TODO: Is this really the library name for Windows?
lib_name = 'GeoIP'
# Getting the path to the GeoIP library.
if lib_name: lib_path = find_library(lib_name)
if lib_path is None: raise GeoIPException('Could not find the GeoIP library (tried "%s"). '
'Try setting GEOIP_LIBRARY_PATH in your settings.' % lib_name)
lgeoip = CDLL(lib_path)
# Regular expressions for recognizing IP addresses and the GeoIP
# free database editions.
ipregex = re.compile(r'^(?P<w>\d\d?\d?)\.(?P<x>\d\d?\d?)\.(?P<y>\d\d?\d?)\.(?P<z>\d\d?\d?)$')
free_regex = re.compile(r'^GEO-\d{3}FREE')
lite_regex = re.compile(r'^GEO-\d{3}LITE')
#### GeoIP C Structure definitions ####
class GeoIPRecord(Structure):
_fields_ = [('country_code', c_char_p),
('country_code3', c_char_p),
('country_name', c_char_p),
('region', c_char_p),
('city', c_char_p),
('postal_code', c_char_p),
('latitude', c_float),
('longitude', c_float),
# TODO: In 1.4.6 this changed from `int dma_code;` to
# `union {int metro_code; int dma_code;};`. Change
# to a `ctypes.Union` in to accomodate in future when
# pre-1.4.6 versions are no longer distributed.
('dma_code', c_int),
('area_code', c_int),
# TODO: The following structure fields were added in 1.4.3 --
# uncomment these fields when sure previous versions are no
# longer distributed by package maintainers.
#('charset', c_int),
#('continent_code', c_char_p),
]
class GeoIPTag(Structure): pass
#### ctypes function prototypes ####
RECTYPE = POINTER(GeoIPRecord)
DBTYPE = POINTER(GeoIPTag)
# For retrieving records by name or address.
def record_output(func):
func.restype = RECTYPE
return func
rec_by_addr = record_output(lgeoip.GeoIP_record_by_addr)
rec_by_name = record_output(lgeoip.GeoIP_record_by_name)
# For opening & closing GeoIP database files.
geoip_open = lgeoip.GeoIP_open
geoip_open.restype = DBTYPE
geoip_close = lgeoip.GeoIP_delete
geoip_close.argtypes = [DBTYPE]
geoip_close.restype = None
# String output routines.
def string_output(func):
func.restype = c_char_p
return func
geoip_dbinfo = string_output(lgeoip.GeoIP_database_info)
cntry_code_by_addr = string_output(lgeoip.GeoIP_country_code_by_addr)
cntry_code_by_name = string_output(lgeoip.GeoIP_country_code_by_name)
cntry_name_by_addr = string_output(lgeoip.GeoIP_country_name_by_addr)
cntry_name_by_name = string_output(lgeoip.GeoIP_country_name_by_name)
#### GeoIP class ####
class GeoIP(object):
# The flags for GeoIP memory caching.
# GEOIP_STANDARD - read database from filesystem, uses least memory.
#
# GEOIP_MEMORY_CACHE - load database into memory, faster performance
# but uses more memory
#
# GEOIP_CHECK_CACHE - check for updated database. If database has been updated,
# reload filehandle and/or memory cache.
#
# GEOIP_INDEX_CACHE - just cache
# the most frequently accessed index portion of the database, resulting
# in faster lookups than GEOIP_STANDARD, but less memory usage than
# GEOIP_MEMORY_CACHE - useful for larger databases such as
# GeoIP Organization and GeoIP City. Note, for GeoIP Country, Region
# and Netspeed databases, GEOIP_INDEX_CACHE is equivalent to GEOIP_MEMORY_CACHE
#
GEOIP_STANDARD = 0
GEOIP_MEMORY_CACHE = 1
GEOIP_CHECK_CACHE = 2
GEOIP_INDEX_CACHE = 4
cache_options = dict((opt, None) for opt in (0, 1, 2, 4))
_city_file = ''
_country_file = ''
# Initially, pointers to GeoIP file references are NULL.
_city = None
_country = None
def __init__(self, path=None, cache=0, country=None, city=None):
"""
Initializes the GeoIP object, no parameters are required to use default
settings. Keyword arguments may be passed in to customize the locations
of the GeoIP data sets.
* path: Base directory to where GeoIP data is located or the full path
to where the city or country data files (*.dat) are located.
Assumes that both the city and country data sets are located in
this directory; overrides the GEOIP_PATH settings attribute.
* cache: The cache settings when opening up the GeoIP datasets,
and may be an integer in (0, 1, 2, 4) corresponding to
the GEOIP_STANDARD, GEOIP_MEMORY_CACHE, GEOIP_CHECK_CACHE,
and GEOIP_INDEX_CACHE `GeoIPOptions` C API settings,
respectively. Defaults to 0, meaning that the data is read
from the disk.
* country: The name of the GeoIP country data file. Defaults to
'GeoIP.dat'; overrides the GEOIP_COUNTRY settings attribute.
* city: The name of the GeoIP city data file. Defaults to
'GeoLiteCity.dat'; overrides the GEOIP_CITY settings attribute.
"""
# Checking the given cache option.
if cache in self.cache_options:
self._cache = self.cache_options[cache]
else:
raise GeoIPException('Invalid caching option: %s' % cache)
# Getting the GeoIP data path.
if not path:
path = GEOIP_SETTINGS.get('GEOIP_PATH', None)
if not path: raise GeoIPException('GeoIP path must be provided via parameter or the GEOIP_PATH setting.')
if not isinstance(path, basestring):
raise TypeError('Invalid path type: %s' % type(path).__name__)
if os.path.isdir(path):
# Constructing the GeoIP database filenames using the settings
# dictionary. If the database files for the GeoLite country
# and/or city datasets exist, then try and open them.
country_db = os.path.join(path, country or GEOIP_SETTINGS.get('GEOIP_COUNTRY', 'GeoIP.dat'))
if os.path.isfile(country_db):
self._country = geoip_open(country_db, cache)
self._country_file = country_db
city_db = os.path.join(path, city or GEOIP_SETTINGS.get('GEOIP_CITY', 'GeoLiteCity.dat'))
if os.path.isfile(city_db):
self._city = geoip_open(city_db, cache)
self._city_file = city_db
elif os.path.isfile(path):
# Otherwise, some detective work will be needed to figure
# out whether the given database path is for the GeoIP country
# or city databases.
ptr = geoip_open(path, cache)
info = geoip_dbinfo(ptr)
if lite_regex.match(info):
# GeoLite City database detected.
self._city = ptr
self._city_file = path
elif free_regex.match(info):
# GeoIP Country database detected.
self._country = ptr
self._country_file = path
else:
raise GeoIPException('Unable to recognize database edition: %s' % info)
else:
raise GeoIPException('GeoIP path must be a valid file or directory.')
def __del__(self):
# Cleaning any GeoIP file handles lying around.
if self._country: geoip_close(self._country)
if self._city: geoip_close(self._city)
def _check_query(self, query, country=False, city=False, city_or_country=False):
"Helper routine for checking the query and database availability."
# Making sure a string was passed in for the query.
if not isinstance(query, basestring):
raise TypeError('GeoIP query must be a string, not type %s' % type(query).__name__)
# Extra checks for the existence of country and city databases.
if city_or_country and not (self._country or self._city):
raise GeoIPException('Invalid GeoIP country and city data files.')
elif country and not self._country:
raise GeoIPException('Invalid GeoIP country data file: %s' % self._country_file)
elif city and not self._city:
raise GeoIPException('Invalid GeoIP city data file: %s' % self._city_file)
def city(self, query):
"""
Returns a dictionary of city information for the given IP address or
Fully Qualified Domain Name (FQDN). Some information in the dictionary
may be undefined (None).
"""
self._check_query(query, city=True)
if ipregex.match(query):
# If an IP address was passed in
ptr = rec_by_addr(self._city, c_char_p(query))
else:
# If a FQDN was passed in.
ptr = rec_by_name(self._city, c_char_p(query))
# Checking the pointer to the C structure, if valid pull out elements
# into a dicionary and return.
if bool(ptr):
record = ptr.contents
return dict((tup[0], getattr(record, tup[0])) for tup in record._fields_)
else:
return None
def country_code(self, query):
"Returns the country code for the given IP Address or FQDN."
self._check_query(query, city_or_country=True)
if self._country:
if ipregex.match(query): return cntry_code_by_addr(self._country, query)
else: return cntry_code_by_name(self._country, query)
else:
return self.city(query)['country_code']
def country_name(self, query):
"Returns the country name for the given IP Address or FQDN."
self._check_query(query, city_or_country=True)
if self._country:
if ipregex.match(query): return cntry_name_by_addr(self._country, query)
else: return cntry_name_by_name(self._country, query)
else:
return self.city(query)['country_name']
def country(self, query):
"""
Returns a dictonary with with the country code and name when given an
IP address or a Fully Qualified Domain Name (FQDN). For example, both
'24.124.1.80' and 'djangoproject.com' are valid parameters.
"""
# Returning the country code and name
return {'country_code' : self.country_code(query),
'country_name' : self.country_name(query),
}
#### Coordinate retrieval routines ####
def coords(self, query, ordering=('longitude', 'latitude')):
cdict = self.city(query)
if cdict is None: return None
else: return tuple(cdict[o] for o in ordering)
def lon_lat(self, query):
"Returns a tuple of the (longitude, latitude) for the given query."
return self.coords(query)
def lat_lon(self, query):
"Returns a tuple of the (latitude, longitude) for the given query."
return self.coords(query, ('latitude', 'longitude'))
def geos(self, query):
"Returns a GEOS Point object for the given query."
ll = self.lon_lat(query)
if ll:
from django.contrib.gis.geos import Point
return Point(ll, srid=4326)
else:
return None
#### GeoIP Database Information Routines ####
def country_info(self):
"Returns information about the GeoIP country database."
if self._country is None:
ci = 'No GeoIP Country data in "%s"' % self._country_file
else:
ci = geoip_dbinfo(self._country)
return ci
country_info = property(country_info)
def city_info(self):
"Retuns information about the GeoIP city database."
if self._city is None:
ci = 'No GeoIP City data in "%s"' % self._city_file
else:
ci = geoip_dbinfo(self._city)
return ci
city_info = property(city_info)
def info(self):
"Returns information about all GeoIP databases in use."
return 'Country:\n\t%s\nCity:\n\t%s' % (self.country_info, self.city_info)
info = property(info)
#### Methods for compatibility w/the GeoIP-Python API. ####
@classmethod
def open(cls, full_path, cache):
return GeoIP(full_path, cache)
def _rec_by_arg(self, arg):
if self._city:
return self.city(arg)
else:
return self.country(arg)
region_by_addr = city
region_by_name = city
record_by_addr = _rec_by_arg
record_by_name = _rec_by_arg
country_code_by_addr = country_code
country_code_by_name = country_code
country_name_by_addr = country_name
country_name_by_name = country_name
| 14,811 | Python | .py | 319 | 38.37931 | 117 | 0.641038 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,656 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/__init__.py | """
This module contains useful utilities for GeoDjango.
"""
# Importing the utilities that depend on GDAL, if available.
from django.contrib.gis.gdal import HAS_GDAL
if HAS_GDAL:
from django.contrib.gis.utils.ogrinfo import ogrinfo, sample
from django.contrib.gis.utils.ogrinspect import mapping, ogrinspect
from django.contrib.gis.utils.srs import add_postgis_srs, add_srs_entry
try:
# LayerMapping requires DJANGO_SETTINGS_MODULE to be set,
# so this needs to be in try/except.
from django.contrib.gis.utils.layermapping import LayerMapping, LayerMapError
except:
pass
# Attempting to import the GeoIP class.
try:
from django.contrib.gis.utils.geoip import GeoIP, GeoIPException
HAS_GEOIP = True
except:
HAS_GEOIP = False
from django.contrib.gis.utils.wkt import precision_wkt
| 853 | Python | .py | 22 | 34.454545 | 85 | 0.759709 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,657 | wkt.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/wkt.py | """
Utilities for manipulating Geometry WKT.
"""
def precision_wkt(geom, prec):
"""
Returns WKT text of the geometry according to the given precision (an
integer or a string). If the precision is an integer, then the decimal
places of coordinates WKT will be truncated to that number:
>>> pnt = Point(5, 23)
>>> pnt.wkt
'POINT (5.0000000000000000 23.0000000000000000)'
>>> precision(geom, 1)
'POINT (5.0 23.0)'
If the precision is a string, it must be valid Python format string
(e.g., '%20.7f') -- thus, you should know what you're doing.
"""
if isinstance(prec, int):
num_fmt = '%%.%df' % prec
elif isinstance(prec, basestring):
num_fmt = prec
else:
raise TypeError
# TODO: Support 3D geometries.
coord_fmt = ' '.join([num_fmt, num_fmt])
def formatted_coords(coords):
return ','.join([coord_fmt % c[:2] for c in coords])
def formatted_poly(poly):
return ','.join(['(%s)' % formatted_coords(r) for r in poly])
def formatted_geom(g):
gtype = str(g.geom_type).upper()
yield '%s(' % gtype
if gtype == 'POINT':
yield formatted_coords((g.coords,))
elif gtype in ('LINESTRING', 'LINEARRING'):
yield formatted_coords(g.coords)
elif gtype in ('POLYGON', 'MULTILINESTRING'):
yield formatted_poly(g)
elif gtype == 'MULTIPOINT':
yield formatted_coords(g.coords)
elif gtype == 'MULTIPOLYGON':
yield ','.join(['(%s)' % formatted_poly(p) for p in g])
elif gtype == 'GEOMETRYCOLLECTION':
yield ','.join([''.join([wkt for wkt in formatted_geom(child)]) for child in g])
else:
raise TypeError
yield ')'
return ''.join([wkt for wkt in formatted_geom(geom)])
| 1,846 | Python | .py | 47 | 31.808511 | 92 | 0.600782 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,658 | layermapping.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/layermapping.py | # LayerMapping -- A Django Model/OGR Layer Mapping Utility
"""
The LayerMapping class provides a way to map the contents of OGR
vector files (e.g. SHP files) to Geographic-enabled Django models.
For more information, please consult the GeoDjango documentation:
http://geodjango.org/docs/layermapping.html
"""
import sys
from datetime import date, datetime
from decimal import Decimal
from django.core.exceptions import ObjectDoesNotExist
from django.db import connections, DEFAULT_DB_ALIAS
from django.contrib.gis.db.models import GeometryField
from django.contrib.gis.gdal import CoordTransform, DataSource, \
OGRException, OGRGeometry, OGRGeomType, SpatialReference
from django.contrib.gis.gdal.field import \
OFTDate, OFTDateTime, OFTInteger, OFTReal, OFTString, OFTTime
from django.db import models, transaction
from django.contrib.localflavor.us.models import USStateField
# LayerMapping exceptions.
class LayerMapError(Exception): pass
class InvalidString(LayerMapError): pass
class InvalidDecimal(LayerMapError): pass
class InvalidInteger(LayerMapError): pass
class MissingForeignKey(LayerMapError): pass
class LayerMapping(object):
"A class that maps OGR Layers to GeoDjango Models."
# Acceptable 'base' types for a multi-geometry type.
MULTI_TYPES = {1 : OGRGeomType('MultiPoint'),
2 : OGRGeomType('MultiLineString'),
3 : OGRGeomType('MultiPolygon'),
OGRGeomType('Point25D').num : OGRGeomType('MultiPoint25D'),
OGRGeomType('LineString25D').num : OGRGeomType('MultiLineString25D'),
OGRGeomType('Polygon25D').num : OGRGeomType('MultiPolygon25D'),
}
# Acceptable Django field types and corresponding acceptable OGR
# counterparts.
FIELD_TYPES = {
models.AutoField : OFTInteger,
models.IntegerField : (OFTInteger, OFTReal, OFTString),
models.FloatField : (OFTInteger, OFTReal),
models.DateField : OFTDate,
models.DateTimeField : OFTDateTime,
models.EmailField : OFTString,
models.TimeField : OFTTime,
models.DecimalField : (OFTInteger, OFTReal),
models.CharField : OFTString,
models.SlugField : OFTString,
models.TextField : OFTString,
models.URLField : OFTString,
USStateField : OFTString,
models.XMLField : OFTString,
models.SmallIntegerField : (OFTInteger, OFTReal, OFTString),
models.PositiveSmallIntegerField : (OFTInteger, OFTReal, OFTString),
}
# The acceptable transaction modes.
TRANSACTION_MODES = {'autocommit' : transaction.autocommit,
'commit_on_success' : transaction.commit_on_success,
}
def __init__(self, model, data, mapping, layer=0,
source_srs=None, encoding=None,
transaction_mode='commit_on_success',
transform=True, unique=None, using=DEFAULT_DB_ALIAS):
"""
A LayerMapping object is initialized using the given Model (not an instance),
a DataSource (or string path to an OGR-supported data file), and a mapping
dictionary. See the module level docstring for more details and keyword
argument usage.
"""
# Getting the DataSource and the associated Layer.
if isinstance(data, basestring):
self.ds = DataSource(data)
else:
self.ds = data
self.layer = self.ds[layer]
self.using = using
self.spatial_backend = connections[using].ops
# Setting the mapping & model attributes.
self.mapping = mapping
self.model = model
# Checking the layer -- intitialization of the object will fail if
# things don't check out before hand.
self.check_layer()
# Getting the geometry column associated with the model (an
# exception will be raised if there is no geometry column).
if self.spatial_backend.mysql:
transform = False
else:
self.geo_field = self.geometry_field()
# Checking the source spatial reference system, and getting
# the coordinate transformation object (unless the `transform`
# keyword is set to False)
if transform:
self.source_srs = self.check_srs(source_srs)
self.transform = self.coord_transform()
else:
self.transform = transform
# Setting the encoding for OFTString fields, if specified.
if encoding:
# Making sure the encoding exists, if not a LookupError
# exception will be thrown.
from codecs import lookup
lookup(encoding)
self.encoding = encoding
else:
self.encoding = None
if unique:
self.check_unique(unique)
transaction_mode = 'autocommit' # Has to be set to autocommit.
self.unique = unique
else:
self.unique = None
# Setting the transaction decorator with the function in the
# transaction modes dictionary.
if transaction_mode in self.TRANSACTION_MODES:
self.transaction_decorator = self.TRANSACTION_MODES[transaction_mode]
self.transaction_mode = transaction_mode
else:
raise LayerMapError('Unrecognized transaction mode: %s' % transaction_mode)
if using is None:
pass
#### Checking routines used during initialization ####
def check_fid_range(self, fid_range):
"This checks the `fid_range` keyword."
if fid_range:
if isinstance(fid_range, (tuple, list)):
return slice(*fid_range)
elif isinstance(fid_range, slice):
return fid_range
else:
raise TypeError
else:
return None
def check_layer(self):
"""
This checks the Layer metadata, and ensures that it is compatible
with the mapping information and model. Unlike previous revisions,
there is no need to increment through each feature in the Layer.
"""
# The geometry field of the model is set here.
# TODO: Support more than one geometry field / model. However, this
# depends on the GDAL Driver in use.
self.geom_field = False
self.fields = {}
# Getting lists of the field names and the field types available in
# the OGR Layer.
ogr_fields = self.layer.fields
ogr_field_types = self.layer.field_types
# Function for determining if the OGR mapping field is in the Layer.
def check_ogr_fld(ogr_map_fld):
try:
idx = ogr_fields.index(ogr_map_fld)
except ValueError:
raise LayerMapError('Given mapping OGR field "%s" not found in OGR Layer.' % ogr_map_fld)
return idx
# No need to increment through each feature in the model, simply check
# the Layer metadata against what was given in the mapping dictionary.
for field_name, ogr_name in self.mapping.items():
# Ensuring that a corresponding field exists in the model
# for the given field name in the mapping.
try:
model_field = self.model._meta.get_field(field_name)
except models.fields.FieldDoesNotExist:
raise LayerMapError('Given mapping field "%s" not in given Model fields.' % field_name)
# Getting the string name for the Django field class (e.g., 'PointField').
fld_name = model_field.__class__.__name__
if isinstance(model_field, GeometryField):
if self.geom_field:
raise LayerMapError('LayerMapping does not support more than one GeometryField per model.')
# Getting the coordinate dimension of the geometry field.
coord_dim = model_field.dim
try:
if coord_dim == 3:
gtype = OGRGeomType(ogr_name + '25D')
else:
gtype = OGRGeomType(ogr_name)
except OGRException:
raise LayerMapError('Invalid mapping for GeometryField "%s".' % field_name)
# Making sure that the OGR Layer's Geometry is compatible.
ltype = self.layer.geom_type
if not (ltype.name.startswith(gtype.name) or self.make_multi(ltype, model_field)):
raise LayerMapError('Invalid mapping geometry; model has %s%s, '
'layer geometry type is %s.' %
(fld_name, (coord_dim == 3 and '(dim=3)') or '', ltype))
# Setting the `geom_field` attribute w/the name of the model field
# that is a Geometry. Also setting the coordinate dimension
# attribute.
self.geom_field = field_name
self.coord_dim = coord_dim
fields_val = model_field
elif isinstance(model_field, models.ForeignKey):
if isinstance(ogr_name, dict):
# Is every given related model mapping field in the Layer?
rel_model = model_field.rel.to
for rel_name, ogr_field in ogr_name.items():
idx = check_ogr_fld(ogr_field)
try:
rel_field = rel_model._meta.get_field(rel_name)
except models.fields.FieldDoesNotExist:
raise LayerMapError('ForeignKey mapping field "%s" not in %s fields.' %
(rel_name, rel_model.__class__.__name__))
fields_val = rel_model
else:
raise TypeError('ForeignKey mapping must be of dictionary type.')
else:
# Is the model field type supported by LayerMapping?
if not model_field.__class__ in self.FIELD_TYPES:
raise LayerMapError('Django field type "%s" has no OGR mapping (yet).' % fld_name)
# Is the OGR field in the Layer?
idx = check_ogr_fld(ogr_name)
ogr_field = ogr_field_types[idx]
# Can the OGR field type be mapped to the Django field type?
if not issubclass(ogr_field, self.FIELD_TYPES[model_field.__class__]):
raise LayerMapError('OGR field "%s" (of type %s) cannot be mapped to Django %s.' %
(ogr_field, ogr_field.__name__, fld_name))
fields_val = model_field
self.fields[field_name] = fields_val
def check_srs(self, source_srs):
"Checks the compatibility of the given spatial reference object."
if isinstance(source_srs, SpatialReference):
sr = source_srs
elif isinstance(source_srs, self.spatial_backend.spatial_ref_sys()):
sr = source_srs.srs
elif isinstance(source_srs, (int, basestring)):
sr = SpatialReference(source_srs)
else:
# Otherwise just pulling the SpatialReference from the layer
sr = self.layer.srs
if not sr:
raise LayerMapError('No source reference system defined.')
else:
return sr
def check_unique(self, unique):
"Checks the `unique` keyword parameter -- may be a sequence or string."
if isinstance(unique, (list, tuple)):
# List of fields to determine uniqueness with
for attr in unique:
if not attr in self.mapping: raise ValueError
elif isinstance(unique, basestring):
# Only a single field passed in.
if unique not in self.mapping: raise ValueError
else:
raise TypeError('Unique keyword argument must be set with a tuple, list, or string.')
#### Keyword argument retrieval routines ####
def feature_kwargs(self, feat):
"""
Given an OGR Feature, this will return a dictionary of keyword arguments
for constructing the mapped model.
"""
# The keyword arguments for model construction.
kwargs = {}
# Incrementing through each model field and OGR field in the
# dictionary mapping.
for field_name, ogr_name in self.mapping.items():
model_field = self.fields[field_name]
if isinstance(model_field, GeometryField):
# Verify OGR geometry.
val = self.verify_geom(feat.geom, model_field)
elif isinstance(model_field, models.base.ModelBase):
# The related _model_, not a field was passed in -- indicating
# another mapping for the related Model.
val = self.verify_fk(feat, model_field, ogr_name)
else:
# Otherwise, verify OGR Field type.
val = self.verify_ogr_field(feat[ogr_name], model_field)
# Setting the keyword arguments for the field name with the
# value obtained above.
kwargs[field_name] = val
return kwargs
def unique_kwargs(self, kwargs):
"""
Given the feature keyword arguments (from `feature_kwargs`) this routine
will construct and return the uniqueness keyword arguments -- a subset
of the feature kwargs.
"""
if isinstance(self.unique, basestring):
return {self.unique : kwargs[self.unique]}
else:
return dict((fld, kwargs[fld]) for fld in self.unique)
#### Verification routines used in constructing model keyword arguments. ####
def verify_ogr_field(self, ogr_field, model_field):
"""
Verifies if the OGR Field contents are acceptable to the Django
model field. If they are, the verified value is returned,
otherwise the proper exception is raised.
"""
if (isinstance(ogr_field, OFTString) and
isinstance(model_field, (models.CharField, models.TextField))):
if self.encoding:
# The encoding for OGR data sources may be specified here
# (e.g., 'cp437' for Census Bureau boundary files).
val = unicode(ogr_field.value, self.encoding)
else:
val = ogr_field.value
if len(val) > model_field.max_length:
raise InvalidString('%s model field maximum string length is %s, given %s characters.' %
(model_field.name, model_field.max_length, len(val)))
elif isinstance(ogr_field, OFTReal) and isinstance(model_field, models.DecimalField):
try:
# Creating an instance of the Decimal value to use.
d = Decimal(str(ogr_field.value))
except:
raise InvalidDecimal('Could not construct decimal from: %s' % ogr_field.value)
# Getting the decimal value as a tuple.
dtup = d.as_tuple()
digits = dtup[1]
d_idx = dtup[2] # index where the decimal is
# Maximum amount of precision, or digits to the left of the decimal.
max_prec = model_field.max_digits - model_field.decimal_places
# Getting the digits to the left of the decimal place for the
# given decimal.
if d_idx < 0:
n_prec = len(digits[:d_idx])
else:
n_prec = len(digits) + d_idx
# If we have more than the maximum digits allowed, then throw an
# InvalidDecimal exception.
if n_prec > max_prec:
raise InvalidDecimal('A DecimalField with max_digits %d, decimal_places %d must round to an absolute value less than 10^%d.' %
(model_field.max_digits, model_field.decimal_places, max_prec))
val = d
elif isinstance(ogr_field, (OFTReal, OFTString)) and isinstance(model_field, models.IntegerField):
# Attempt to convert any OFTReal and OFTString value to an OFTInteger.
try:
val = int(ogr_field.value)
except:
raise InvalidInteger('Could not construct integer from: %s' % ogr_field.value)
else:
val = ogr_field.value
return val
def verify_fk(self, feat, rel_model, rel_mapping):
"""
Given an OGR Feature, the related model and its dictionary mapping,
this routine will retrieve the related model for the ForeignKey
mapping.
"""
# TODO: It is expensive to retrieve a model for every record --
# explore if an efficient mechanism exists for caching related
# ForeignKey models.
# Constructing and verifying the related model keyword arguments.
fk_kwargs = {}
for field_name, ogr_name in rel_mapping.items():
fk_kwargs[field_name] = self.verify_ogr_field(feat[ogr_name], rel_model._meta.get_field(field_name))
# Attempting to retrieve and return the related model.
try:
return rel_model.objects.get(**fk_kwargs)
except ObjectDoesNotExist:
raise MissingForeignKey('No ForeignKey %s model found with keyword arguments: %s' % (rel_model.__name__, fk_kwargs))
def verify_geom(self, geom, model_field):
"""
Verifies the geometry -- will construct and return a GeometryCollection
if necessary (for example if the model field is MultiPolygonField while
the mapped shapefile only contains Polygons).
"""
# Downgrade a 3D geom to a 2D one, if necessary.
if self.coord_dim != geom.coord_dim:
geom.coord_dim = self.coord_dim
if self.make_multi(geom.geom_type, model_field):
# Constructing a multi-geometry type to contain the single geometry
multi_type = self.MULTI_TYPES[geom.geom_type.num]
g = OGRGeometry(multi_type)
g.add(geom)
else:
g = geom
# Transforming the geometry with our Coordinate Transformation object,
# but only if the class variable `transform` is set w/a CoordTransform
# object.
if self.transform: g.transform(self.transform)
# Returning the WKT of the geometry.
return g.wkt
#### Other model methods ####
def coord_transform(self):
"Returns the coordinate transformation object."
SpatialRefSys = self.spatial_backend.spatial_ref_sys()
try:
# Getting the target spatial reference system
target_srs = SpatialRefSys.objects.get(srid=self.geo_field.srid).srs
# Creating the CoordTransform object
return CoordTransform(self.source_srs, target_srs)
except Exception, msg:
raise LayerMapError('Could not translate between the data source and model geometry: %s' % msg)
def geometry_field(self):
"Returns the GeometryField instance associated with the geographic column."
# Use the `get_field_by_name` on the model's options so that we
# get the correct field instance if there's model inheritance.
opts = self.model._meta
fld, model, direct, m2m = opts.get_field_by_name(self.geom_field)
return fld
def make_multi(self, geom_type, model_field):
"""
Given the OGRGeomType for a geometry and its associated GeometryField,
determine whether the geometry should be turned into a GeometryCollection.
"""
return (geom_type.num in self.MULTI_TYPES and
model_field.__class__.__name__ == 'Multi%s' % geom_type.django)
def save(self, verbose=False, fid_range=False, step=False,
progress=False, silent=False, stream=sys.stdout, strict=False):
"""
Saves the contents from the OGR DataSource Layer into the database
according to the mapping dictionary given at initialization.
Keyword Parameters:
verbose:
If set, information will be printed subsequent to each model save
executed on the database.
fid_range:
May be set with a slice or tuple of (begin, end) feature ID's to map
from the data source. In other words, this keyword enables the user
to selectively import a subset range of features in the geographic
data source.
step:
If set with an integer, transactions will occur at every step
interval. For example, if step=1000, a commit would occur after
the 1,000th feature, the 2,000th feature etc.
progress:
When this keyword is set, status information will be printed giving
the number of features processed and sucessfully saved. By default,
progress information will pe printed every 1000 features processed,
however, this default may be overridden by setting this keyword with an
integer for the desired interval.
stream:
Status information will be written to this file handle. Defaults to
using `sys.stdout`, but any object with a `write` method is supported.
silent:
By default, non-fatal error notifications are printed to stdout, but
this keyword may be set to disable these notifications.
strict:
Execution of the model mapping will cease upon the first error
encountered. The default behavior is to attempt to continue.
"""
# Getting the default Feature ID range.
default_range = self.check_fid_range(fid_range)
# Setting the progress interval, if requested.
if progress:
if progress is True or not isinstance(progress, int):
progress_interval = 1000
else:
progress_interval = progress
# Defining the 'real' save method, utilizing the transaction
# decorator created during initialization.
@self.transaction_decorator
def _save(feat_range=default_range, num_feat=0, num_saved=0):
if feat_range:
layer_iter = self.layer[feat_range]
else:
layer_iter = self.layer
for feat in layer_iter:
num_feat += 1
# Getting the keyword arguments
try:
kwargs = self.feature_kwargs(feat)
except LayerMapError, msg:
# Something borked the validation
if strict: raise
elif not silent:
stream.write('Ignoring Feature ID %s because: %s\n' % (feat.fid, msg))
else:
# Constructing the model using the keyword args
is_update = False
if self.unique:
# If we want unique models on a particular field, handle the
# geometry appropriately.
try:
# Getting the keyword arguments and retrieving
# the unique model.
u_kwargs = self.unique_kwargs(kwargs)
m = self.model.objects.using(self.using).get(**u_kwargs)
is_update = True
# Getting the geometry (in OGR form), creating
# one from the kwargs WKT, adding in additional
# geometries, and update the attribute with the
# just-updated geometry WKT.
geom = getattr(m, self.geom_field).ogr
new = OGRGeometry(kwargs[self.geom_field])
for g in new: geom.add(g)
setattr(m, self.geom_field, geom.wkt)
except ObjectDoesNotExist:
# No unique model exists yet, create.
m = self.model(**kwargs)
else:
m = self.model(**kwargs)
try:
# Attempting to save.
m.save(using=self.using)
num_saved += 1
if verbose: stream.write('%s: %s\n' % (is_update and 'Updated' or 'Saved', m))
except SystemExit:
raise
except Exception, msg:
if self.transaction_mode == 'autocommit':
# Rolling back the transaction so that other model saves
# will work.
transaction.rollback_unless_managed()
if strict:
# Bailing out if the `strict` keyword is set.
if not silent:
stream.write('Failed to save the feature (id: %s) into the model with the keyword arguments:\n' % feat.fid)
stream.write('%s\n' % kwargs)
raise
elif not silent:
stream.write('Failed to save %s:\n %s\nContinuing\n' % (kwargs, msg))
# Printing progress information, if requested.
if progress and num_feat % progress_interval == 0:
stream.write('Processed %d features, saved %d ...\n' % (num_feat, num_saved))
# Only used for status output purposes -- incremental saving uses the
# values returned here.
return num_saved, num_feat
nfeat = self.layer.num_feat
if step and isinstance(step, int) and step < nfeat:
# Incremental saving is requested at the given interval (step)
if default_range:
raise LayerMapError('The `step` keyword may not be used in conjunction with the `fid_range` keyword.')
beg, num_feat, num_saved = (0, 0, 0)
indices = range(step, nfeat, step)
n_i = len(indices)
for i, end in enumerate(indices):
# Constructing the slice to use for this step; the last slice is
# special (e.g, [100:] instead of [90:100]).
if i+1 == n_i: step_slice = slice(beg, None)
else: step_slice = slice(beg, end)
try:
num_feat, num_saved = _save(step_slice, num_feat, num_saved)
beg = end
except:
stream.write('%s\nFailed to save slice: %s\n' % ('=-' * 20, step_slice))
raise
else:
# Otherwise, just calling the previously defined _save() function.
_save()
| 27,065 | Python | .py | 528 | 37.774621 | 142 | 0.591694 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,659 | srs.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/utils/srs.py | from django.contrib.gis.gdal import SpatialReference
from django.db import connections, DEFAULT_DB_ALIAS
def add_srs_entry(srs, auth_name='EPSG', auth_srid=None, ref_sys_name=None,
database=DEFAULT_DB_ALIAS):
"""
This function takes a GDAL SpatialReference system and adds its information
to the `spatial_ref_sys` table of the spatial backend. Doing this enables
database-level spatial transformations for the backend. Thus, this utility
is useful for adding spatial reference systems not included by default with
the backend -- for example, the so-called "Google Maps Mercator Projection"
is excluded in PostGIS 1.3 and below, and the following adds it to the
`spatial_ref_sys` table:
>>> from django.contrib.gis.utils import add_srs_entry
>>> add_srs_entry(900913)
Keyword Arguments:
auth_name:
This keyword may be customized with the value of the `auth_name` field.
Defaults to 'EPSG'.
auth_srid:
This keyword may be customized with the value of the `auth_srid` field.
Defaults to the SRID determined by GDAL.
ref_sys_name:
For SpatiaLite users only, sets the value of the the `ref_sys_name` field.
Defaults to the name determined by GDAL.
database:
The name of the database connection to use; the default is the value
of `django.db.DEFAULT_DB_ALIAS` (at the time of this writing, it's value
is 'default').
"""
connection = connections[database]
if not hasattr(connection.ops, 'spatial_version'):
raise Exception('The `add_srs_entry` utility only works '
'with spatial backends.')
if connection.ops.oracle or connection.ops.mysql:
raise Exception('This utility does not support the '
'Oracle or MySQL spatial backends.')
SpatialRefSys = connection.ops.spatial_ref_sys()
# If argument is not a `SpatialReference` instance, use it as parameter
# to construct a `SpatialReference` instance.
if not isinstance(srs, SpatialReference):
srs = SpatialReference(srs)
if srs.srid is None:
raise Exception('Spatial reference requires an SRID to be '
'compatible with the spatial backend.')
# Initializing the keyword arguments dictionary for both PostGIS
# and SpatiaLite.
kwargs = {'srid' : srs.srid,
'auth_name' : auth_name,
'auth_srid' : auth_srid or srs.srid,
'proj4text' : srs.proj4,
}
# Backend-specific fields for the SpatialRefSys model.
if connection.ops.postgis:
kwargs['srtext'] = srs.wkt
if connection.ops.spatialite:
kwargs['ref_sys_name'] = ref_sys_name or srs.name
# Creating the spatial_ref_sys model.
try:
# Try getting via SRID only, because using all kwargs may
# differ from exact wkt/proj in database.
sr = SpatialRefSys.objects.get(srid=srs.srid)
except SpatialRefSys.DoesNotExist:
sr = SpatialRefSys.objects.create(**kwargs)
# Alias is for backwards-compatibility purposes.
add_postgis_srs = add_srs_entry
| 3,157 | Python | .py | 65 | 40.892308 | 81 | 0.68474 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,660 | fields.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/forms/fields.py | from django import forms
from django.utils.translation import ugettext_lazy as _
# While this couples the geographic forms to the GEOS library,
# it decouples from database (by not importing SpatialBackend).
from django.contrib.gis.geos import GEOSGeometry
class GeometryField(forms.Field):
"""
This is the basic form field for a Geometry. Any textual input that is
accepted by GEOSGeometry is accepted by this form. By default,
this includes WKT, HEXEWKB, WKB (in a buffer), and GeoJSON.
"""
widget = forms.Textarea
default_error_messages = {
'no_geom' : _(u'No geometry value provided.'),
'invalid_geom' : _(u'Invalid geometry value.'),
'invalid_geom_type' : _(u'Invalid geometry type.'),
'transform_error' : _(u'An error occurred when transforming the geometry '
'to the SRID of the geometry form field.'),
}
def __init__(self, **kwargs):
# Pop out attributes from the database field, or use sensible
# defaults (e.g., allow None).
self.srid = kwargs.pop('srid', None)
self.geom_type = kwargs.pop('geom_type', 'GEOMETRY')
self.null = kwargs.pop('null', True)
super(GeometryField, self).__init__(**kwargs)
def clean(self, value):
"""
Validates that the input value can be converted to a Geometry
object (which is returned). A ValidationError is raised if
the value cannot be instantiated as a Geometry.
"""
if not value:
if self.null and not self.required:
# The geometry column allows NULL and is not required.
return None
else:
raise forms.ValidationError(self.error_messages['no_geom'])
# Trying to create a Geometry object from the form value.
try:
geom = GEOSGeometry(value)
except:
raise forms.ValidationError(self.error_messages['invalid_geom'])
# Ensuring that the geometry is of the correct type (indicated
# using the OGC string label).
if str(geom.geom_type).upper() != self.geom_type and not self.geom_type == 'GEOMETRY':
raise forms.ValidationError(self.error_messages['invalid_geom_type'])
# Transforming the geometry if the SRID was set.
if self.srid:
if not geom.srid:
# Should match that of the field if not given.
geom.srid = self.srid
elif self.srid != -1 and self.srid != geom.srid:
try:
geom.transform(self.srid)
except:
raise forms.ValidationError(self.error_messages['transform_error'])
return geom
| 2,746 | Python | .py | 58 | 37.396552 | 94 | 0.62374 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,661 | test_spatialrefsys.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/test_spatialrefsys.py | import unittest
from django.db import connection
from django.contrib.gis.tests.utils import mysql, no_mysql, oracle, postgis, spatialite
test_srs = ({'srid' : 4326,
'auth_name' : ('EPSG', True),
'auth_srid' : 4326,
'srtext' : 'GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],TOWGS84[0,0,0,0,0,0,0],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]',
'srtext14' : 'GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]',
'proj4' : '+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs ',
'spheroid' : 'WGS 84', 'name' : 'WGS 84',
'geographic' : True, 'projected' : False, 'spatialite' : True,
'ellipsoid' : (6378137.0, 6356752.3, 298.257223563), # From proj's "cs2cs -le" and Wikipedia (semi-minor only)
'eprec' : (1, 1, 9),
},
{'srid' : 32140,
'auth_name' : ('EPSG', False),
'auth_srid' : 32140,
'srtext' : 'PROJCS["NAD83 / Texas South Central",GEOGCS["NAD83",DATUM["North_American_Datum_1983",SPHEROID["GRS 1980",6378137,298.257222101,AUTHORITY["EPSG","7019"]],AUTHORITY["EPSG","6269"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4269"]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["standard_parallel_1",30.28333333333333],PARAMETER["standard_parallel_2",28.38333333333333],PARAMETER["latitude_of_origin",27.83333333333333],PARAMETER["central_meridian",-99],PARAMETER["false_easting",600000],PARAMETER["false_northing",4000000],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AUTHORITY["EPSG","32140"]]',
'srtext14': 'PROJCS["NAD83 / Texas South Central",GEOGCS["NAD83",DATUM["North_American_Datum_1983",SPHEROID["GRS 1980",6378137,298.257222101,AUTHORITY["EPSG","7019"]],AUTHORITY["EPSG","6269"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4269"]],UNIT["metre",1,AUTHORITY["EPSG","9001"]],PROJECTION["Lambert_Conformal_Conic_2SP"],PARAMETER["standard_parallel_1",30.28333333333333],PARAMETER["standard_parallel_2",28.38333333333333],PARAMETER["latitude_of_origin",27.83333333333333],PARAMETER["central_meridian",-99],PARAMETER["false_easting",600000],PARAMETER["false_northing",4000000],AUTHORITY["EPSG","32140"],AXIS["X",EAST],AXIS["Y",NORTH]]',
'proj4' : '+proj=lcc +lat_1=30.28333333333333 +lat_2=28.38333333333333 +lat_0=27.83333333333333 +lon_0=-99 +x_0=600000 +y_0=4000000 +ellps=GRS80 +datum=NAD83 +units=m +no_defs ',
'spheroid' : 'GRS 1980', 'name' : 'NAD83 / Texas South Central',
'geographic' : False, 'projected' : True, 'spatialite' : False,
'ellipsoid' : (6378137.0, 6356752.31414, 298.257222101), # From proj's "cs2cs -le" and Wikipedia (semi-minor only)
'eprec' : (1, 5, 10),
},
)
if oracle:
from django.contrib.gis.db.backends.oracle.models import SpatialRefSys
elif postgis:
from django.contrib.gis.db.backends.postgis.models import SpatialRefSys
elif spatialite:
from django.contrib.gis.db.backends.spatialite.models import SpatialRefSys
class SpatialRefSysTest(unittest.TestCase):
@no_mysql
def test01_retrieve(self):
"Testing retrieval of SpatialRefSys model objects."
for sd in test_srs:
srs = SpatialRefSys.objects.get(srid=sd['srid'])
self.assertEqual(sd['srid'], srs.srid)
# Some of the authority names are borked on Oracle, e.g., SRID=32140.
# also, Oracle Spatial seems to add extraneous info to fields, hence the
# the testing with the 'startswith' flag.
auth_name, oracle_flag = sd['auth_name']
if postgis or (oracle and oracle_flag):
self.assertEqual(True, srs.auth_name.startswith(auth_name))
self.assertEqual(sd['auth_srid'], srs.auth_srid)
# No proj.4 and different srtext on oracle backends :(
if postgis:
if connection.ops.spatial_version >= (1, 4, 0):
srtext = sd['srtext14']
else:
srtext = sd['srtext']
self.assertEqual(srtext, srs.wkt)
self.assertEqual(sd['proj4'], srs.proj4text)
@no_mysql
def test02_osr(self):
"Testing getting OSR objects from SpatialRefSys model objects."
for sd in test_srs:
sr = SpatialRefSys.objects.get(srid=sd['srid'])
self.assertEqual(True, sr.spheroid.startswith(sd['spheroid']))
self.assertEqual(sd['geographic'], sr.geographic)
self.assertEqual(sd['projected'], sr.projected)
if not (spatialite and not sd['spatialite']):
# Can't get 'NAD83 / Texas South Central' from PROJ.4 string
# on SpatiaLite
self.assertEqual(True, sr.name.startswith(sd['name']))
# Testing the SpatialReference object directly.
if postgis or spatialite:
srs = sr.srs
self.assertEqual(sd['proj4'], srs.proj4)
# No `srtext` field in the `spatial_ref_sys` table in SpatiaLite
if not spatialite:
if connection.ops.spatial_version >= (1, 4, 0):
srtext = sd['srtext14']
else:
srtext = sd['srtext']
self.assertEqual(srtext, srs.wkt)
@no_mysql
def test03_ellipsoid(self):
"Testing the ellipsoid property."
for sd in test_srs:
# Getting the ellipsoid and precision parameters.
ellps1 = sd['ellipsoid']
prec = sd['eprec']
# Getting our spatial reference and its ellipsoid
srs = SpatialRefSys.objects.get(srid=sd['srid'])
ellps2 = srs.ellipsoid
for i in range(3):
param1 = ellps1[i]
param2 = ellps2[i]
self.assertAlmostEqual(ellps1[i], ellps2[i], prec[i])
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(SpatialRefSysTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
| 6,685 | Python | .py | 97 | 56.649485 | 737 | 0.625381 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,662 | test_geoforms.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/test_geoforms.py | import unittest
from django.forms import ValidationError
from django.contrib.gis import forms
from django.contrib.gis.geos import GEOSGeometry
class GeometryFieldTest(unittest.TestCase):
def test00_init(self):
"Testing GeometryField initialization with defaults."
fld = forms.GeometryField()
for bad_default in ('blah', 3, 'FoO', None, 0):
self.assertRaises(ValidationError, fld.clean, bad_default)
def test01_srid(self):
"Testing GeometryField with a SRID set."
# Input that doesn't specify the SRID is assumed to be in the SRID
# of the input field.
fld = forms.GeometryField(srid=4326)
geom = fld.clean('POINT(5 23)')
self.assertEqual(4326, geom.srid)
# Making the field in a different SRID from that of the geometry, and
# asserting it transforms.
fld = forms.GeometryField(srid=32140)
tol = 0.0000001
xform_geom = GEOSGeometry('POINT (951640.547328465 4219369.26171664)', srid=32140)
# The cleaned geometry should be transformed to 32140.
cleaned_geom = fld.clean('SRID=4326;POINT (-95.363151 29.763374)')
self.failUnless(xform_geom.equals_exact(cleaned_geom, tol))
def test02_null(self):
"Testing GeometryField's handling of null (None) geometries."
# Form fields, by default, are required (`required=True`)
fld = forms.GeometryField()
self.assertRaises(forms.ValidationError, fld.clean, None)
# Still not allowed if `null=False`.
fld = forms.GeometryField(required=False, null=False)
self.assertRaises(forms.ValidationError, fld.clean, None)
# This will clean None as a geometry (See #10660).
fld = forms.GeometryField(required=False)
self.assertEqual(None, fld.clean(None))
def test03_geom_type(self):
"Testing GeometryField's handling of different geometry types."
# By default, all geometry types are allowed.
fld = forms.GeometryField()
for wkt in ('POINT(5 23)', 'MULTIPOLYGON(((0 0, 0 1, 1 1, 1 0, 0 0)))', 'LINESTRING(0 0, 1 1)'):
self.assertEqual(GEOSGeometry(wkt), fld.clean(wkt))
pnt_fld = forms.GeometryField(geom_type='POINT')
self.assertEqual(GEOSGeometry('POINT(5 23)'), pnt_fld.clean('POINT(5 23)'))
self.assertRaises(forms.ValidationError, pnt_fld.clean, 'LINESTRING(0 0, 1 1)')
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(GeometryFieldTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
if __name__=="__main__":
run()
| 2,653 | Python | .py | 53 | 42.566038 | 104 | 0.678516 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,663 | utils.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/utils.py | from django.conf import settings
from django.db import DEFAULT_DB_ALIAS
# function that will pass a test.
def pass_test(*args): return
def no_backend(test_func, backend):
"Use this decorator to disable test on specified backend."
if settings.DATABASES[DEFAULT_DB_ALIAS]['ENGINE'].rsplit('.')[-1] == backend:
return pass_test
else:
return test_func
# Decorators to disable entire test functions for specific
# spatial backends.
def no_oracle(func): return no_backend(func, 'oracle')
def no_postgis(func): return no_backend(func, 'postgis')
def no_mysql(func): return no_backend(func, 'mysql')
def no_spatialite(func): return no_backend(func, 'spatialite')
# Shortcut booleans to omit only portions of tests.
_default_db = settings.DATABASES[DEFAULT_DB_ALIAS]['ENGINE'].rsplit('.')[-1]
oracle = _default_db == 'oracle'
postgis = _default_db == 'postgis'
mysql = _default_db == 'mysql'
spatialite = _default_db == 'spatialite'
| 959 | Python | .py | 22 | 41.136364 | 81 | 0.732047 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,664 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/__init__.py | import unittest
from django.conf import settings
from django.test.simple import build_suite, DjangoTestSuiteRunner
def run_tests(*args, **kwargs):
from django.test.simple import run_tests as base_run_tests
return base_run_tests(*args, **kwargs)
def run_gis_tests(test_labels, verbosity=1, interactive=True, failfast=False, extra_tests=None):
import warnings
warnings.warn(
'The run_gis_tests() test runner has been deprecated in favor of GeoDjangoTestSuiteRunner.',
PendingDeprecationWarning
)
test_runner = GeoDjangoTestSuiteRunner(verbosity=verbosity, interactive=interactive, failfast=failfast)
return test_runner.run_tests(test_labels, extra_tests=extra_tests)
def geo_apps(namespace=True, runtests=False):
"""
Returns a list of GeoDjango test applications that reside in
`django.contrib.gis.tests` that can be used with the current
database and the spatial libraries that are installed.
"""
from django.db import connection
from django.contrib.gis.geos import GEOS_PREPARE
from django.contrib.gis.gdal import HAS_GDAL
apps = ['geoapp', 'relatedapp']
# No distance queries on MySQL.
if not connection.ops.mysql:
apps.append('distapp')
# Test geography support with PostGIS 1.5+.
if connection.ops.postgis and connection.ops.geography:
apps.append('geogapp')
# The following GeoDjango test apps depend on GDAL support.
if HAS_GDAL:
# 3D apps use LayerMapping, which uses GDAL.
if connection.ops.postgis and GEOS_PREPARE:
apps.append('geo3d')
apps.append('layermap')
if runtests:
return [('django.contrib.gis.tests', app) for app in apps]
elif namespace:
return ['django.contrib.gis.tests.%s' % app
for app in apps]
else:
return apps
def geodjango_suite(apps=True):
"""
Returns a TestSuite consisting only of GeoDjango tests that can be run.
"""
import sys
from django.db.models import get_app
suite = unittest.TestSuite()
# Adding the GEOS tests.
from django.contrib.gis.geos import tests as geos_tests
suite.addTest(geos_tests.suite())
# Adding the measurment tests.
from django.contrib.gis.tests import test_measure
suite.addTest(test_measure.suite())
# Adding GDAL tests, and any test suite that depends on GDAL, to the
# suite if GDAL is available.
from django.contrib.gis.gdal import HAS_GDAL
if HAS_GDAL:
from django.contrib.gis.gdal import tests as gdal_tests
suite.addTest(gdal_tests.suite())
from django.contrib.gis.tests import test_spatialrefsys, test_geoforms
suite.addTest(test_spatialrefsys.suite())
suite.addTest(test_geoforms.suite())
else:
sys.stderr.write('GDAL not available - no tests requiring GDAL will be run.\n')
# Add GeoIP tests to the suite, if the library and data is available.
from django.contrib.gis.utils import HAS_GEOIP
if HAS_GEOIP and hasattr(settings, 'GEOIP_PATH'):
from django.contrib.gis.tests import test_geoip
suite.addTest(test_geoip.suite())
# Finally, adding the suites for each of the GeoDjango test apps.
if apps:
for app_name in geo_apps(namespace=False):
suite.addTest(build_suite(get_app(app_name)))
return suite
class GeoDjangoTestSuiteRunner(DjangoTestSuiteRunner):
def setup_test_environment(self, **kwargs):
super(GeoDjangoTestSuiteRunner, self).setup_test_environment(**kwargs)
# Saving original values of INSTALLED_APPS, ROOT_URLCONF, and SITE_ID.
self.old_installed = getattr(settings, 'INSTALLED_APPS', None)
self.old_root_urlconf = getattr(settings, 'ROOT_URLCONF', '')
self.old_site_id = getattr(settings, 'SITE_ID', None)
# Constructing the new INSTALLED_APPS, and including applications
# within the GeoDjango test namespace.
new_installed = ['django.contrib.sites',
'django.contrib.sitemaps',
'django.contrib.gis',
]
# Calling out to `geo_apps` to get GeoDjango applications supported
# for testing.
new_installed.extend(geo_apps())
settings.INSTALLED_APPS = new_installed
# SITE_ID needs to be set
settings.SITE_ID = 1
# ROOT_URLCONF needs to be set, else `AttributeErrors` are raised
# when TestCases are torn down that have `urls` defined.
settings.ROOT_URLCONF = ''
def teardown_test_environment(self, **kwargs):
super(GeoDjangoTestSuiteRunner, self).teardown_test_environment(**kwargs)
settings.INSTALLED_APPS = self.old_installed
settings.ROOT_URLCONF = self.old_root_urlconf
settings.SITE_ID = self.old_site_id
def build_suite(self, test_labels, extra_tests=None, **kwargs):
return geodjango_suite()
| 4,959 | Python | .py | 106 | 39.320755 | 107 | 0.694064 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,665 | test_geoip.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/test_geoip.py | import os, unittest
from django.db import settings
from django.contrib.gis.geos import GEOSGeometry
from django.contrib.gis.utils import GeoIP, GeoIPException
# Note: Requires use of both the GeoIP country and city datasets.
# The GEOIP_DATA path should be the only setting set (the directory
# should contain links or the actual database files 'GeoIP.dat' and
# 'GeoLiteCity.dat'.
class GeoIPTest(unittest.TestCase):
def test01_init(self):
"Testing GeoIP initialization."
g1 = GeoIP() # Everything inferred from GeoIP path
path = settings.GEOIP_PATH
g2 = GeoIP(path, 0) # Passing in data path explicitly.
g3 = GeoIP.open(path, 0) # MaxMind Python API syntax.
for g in (g1, g2, g3):
self.assertEqual(True, bool(g._country))
self.assertEqual(True, bool(g._city))
# Only passing in the location of one database.
city = os.path.join(path, 'GeoLiteCity.dat')
cntry = os.path.join(path, 'GeoIP.dat')
g4 = GeoIP(city, country='')
self.assertEqual(None, g4._country)
g5 = GeoIP(cntry, city='')
self.assertEqual(None, g5._city)
# Improper parameters.
bad_params = (23, 'foo', 15.23)
for bad in bad_params:
self.assertRaises(GeoIPException, GeoIP, cache=bad)
if isinstance(bad, basestring):
e = GeoIPException
else:
e = TypeError
self.assertRaises(e, GeoIP, bad, 0)
def test02_bad_query(self):
"Testing GeoIP query parameter checking."
cntry_g = GeoIP(city='<foo>')
# No city database available, these calls should fail.
self.assertRaises(GeoIPException, cntry_g.city, 'google.com')
self.assertRaises(GeoIPException, cntry_g.coords, 'yahoo.com')
# Non-string query should raise TypeError
self.assertRaises(TypeError, cntry_g.country_code, 17)
self.assertRaises(TypeError, cntry_g.country_name, GeoIP)
def test03_country(self):
"Testing GeoIP country querying methods."
g = GeoIP(city='<foo>')
fqdn = 'www.google.com'
addr = '12.215.42.19'
for query in (fqdn, addr):
for func in (g.country_code, g.country_code_by_addr, g.country_code_by_name):
self.assertEqual('US', func(query))
for func in (g.country_name, g.country_name_by_addr, g.country_name_by_name):
self.assertEqual('United States', func(query))
self.assertEqual({'country_code' : 'US', 'country_name' : 'United States'},
g.country(query))
def test04_city(self):
"Testing GeoIP city querying methods."
g = GeoIP(country='<foo>')
addr = '130.80.29.3'
fqdn = 'chron.com'
for query in (fqdn, addr):
# Country queries should still work.
for func in (g.country_code, g.country_code_by_addr, g.country_code_by_name):
self.assertEqual('US', func(query))
for func in (g.country_name, g.country_name_by_addr, g.country_name_by_name):
self.assertEqual('United States', func(query))
self.assertEqual({'country_code' : 'US', 'country_name' : 'United States'},
g.country(query))
# City information dictionary.
d = g.city(query)
self.assertEqual('USA', d['country_code3'])
self.assertEqual('Houston', d['city'])
self.assertEqual('TX', d['region'])
self.assertEqual(713, d['area_code'])
geom = g.geos(query)
self.failIf(not isinstance(geom, GEOSGeometry))
lon, lat = (-95.3670, 29.7523)
lat_lon = g.lat_lon(query)
lat_lon = (lat_lon[1], lat_lon[0])
for tup in (geom.tuple, g.coords(query), g.lon_lat(query), lat_lon):
self.assertAlmostEqual(lon, tup[0], 4)
self.assertAlmostEqual(lat, tup[1], 4)
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(GeoIPTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
| 4,204 | Python | .py | 88 | 37.625 | 89 | 0.610339 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,666 | test_measure.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/test_measure.py | """
Distance and Area objects to allow for sensible and convienient calculation
and conversions. Here are some tests.
"""
import unittest
from django.contrib.gis.measure import Distance, Area, D, A
class DistanceTest(unittest.TestCase):
"Testing the Distance object"
def testInit(self):
"Testing initialisation from valid units"
d = Distance(m=100)
self.assertEqual(d.m, 100)
d1, d2, d3 = D(m=100), D(meter=100), D(metre=100)
for d in (d1, d2, d3):
self.assertEqual(d.m, 100)
d = D(nm=100)
self.assertEqual(d.m, 185200)
y1, y2, y3 = D(yd=100), D(yard=100), D(Yard=100)
for d in (y1, y2, y3):
self.assertEqual(d.yd, 100)
mm1, mm2 = D(millimeter=1000), D(MiLLiMeTeR=1000)
for d in (mm1, mm2):
self.assertEqual(d.m, 1.0)
self.assertEqual(d.mm, 1000.0)
def testInitInvalid(self):
"Testing initialisation from invalid units"
self.assertRaises(AttributeError, D, banana=100)
def testAccess(self):
"Testing access in different units"
d = D(m=100)
self.assertEqual(d.km, 0.1)
self.assertAlmostEqual(d.ft, 328.084, 3)
def testAccessInvalid(self):
"Testing access in invalid units"
d = D(m=100)
self.failIf(hasattr(d, 'banana'))
def testAddition(self):
"Test addition & subtraction"
d1 = D(m=100)
d2 = D(m=200)
d3 = d1 + d2
self.assertEqual(d3.m, 300)
d3 += d1
self.assertEqual(d3.m, 400)
d4 = d1 - d2
self.assertEqual(d4.m, -100)
d4 -= d1
self.assertEqual(d4.m, -200)
try:
d5 = d1 + 1
except TypeError, e:
pass
else:
self.fail('Distance + number should raise TypeError')
try:
d5 = d1 - 1
except TypeError, e:
pass
else:
self.fail('Distance - number should raise TypeError')
try:
d1 += 1
except TypeError, e:
pass
else:
self.fail('Distance += number should raise TypeError')
try:
d1 -= 1
except TypeError, e:
pass
else:
self.fail('Distance -= number should raise TypeError')
def testMultiplication(self):
"Test multiplication & division"
d1 = D(m=100)
d3 = d1 * 2
self.assertEqual(d3.m, 200)
d3 = 2 * d1
self.assertEqual(d3.m, 200)
d3 *= 5
self.assertEqual(d3.m, 1000)
d4 = d1 / 2
self.assertEqual(d4.m, 50)
d4 /= 5
self.assertEqual(d4.m, 10)
a5 = d1 * D(m=10)
self.assert_(isinstance(a5, Area))
self.assertEqual(a5.sq_m, 100*10)
try:
d1 *= D(m=1)
except TypeError, e:
pass
else:
self.fail('Distance *= Distance should raise TypeError')
try:
d5 = d1 / D(m=1)
except TypeError, e:
pass
else:
self.fail('Distance / Distance should raise TypeError')
try:
d1 /= D(m=1)
except TypeError, e:
pass
else:
self.fail('Distance /= Distance should raise TypeError')
def testUnitConversions(self):
"Testing default units during maths"
d1 = D(m=100)
d2 = D(km=1)
d3 = d1 + d2
self.assertEqual(d3._default_unit, 'm')
d4 = d2 + d1
self.assertEqual(d4._default_unit, 'km')
d5 = d1 * 2
self.assertEqual(d5._default_unit, 'm')
d6 = d1 / 2
self.assertEqual(d6._default_unit, 'm')
def testComparisons(self):
"Testing comparisons"
d1 = D(m=100)
d2 = D(km=1)
d3 = D(km=0)
self.assert_(d2 > d1)
self.assert_(d1 == d1)
self.assert_(d1 < d2)
self.failIf(d3)
def testUnitsStr(self):
"Testing conversion to strings"
d1 = D(m=100)
d2 = D(km=3.5)
self.assertEqual(str(d1), '100.0 m')
self.assertEqual(str(d2), '3.5 km')
self.assertEqual(repr(d1), 'Distance(m=100.0)')
self.assertEqual(repr(d2), 'Distance(km=3.5)')
def testUnitAttName(self):
"Testing the `unit_attname` class method"
unit_tuple = [('Yard', 'yd'), ('Nautical Mile', 'nm'), ('German legal metre', 'german_m'),
('Indian yard', 'indian_yd'), ('Chain (Sears)', 'chain_sears'), ('Chain', 'chain')]
for nm, att in unit_tuple:
self.assertEqual(att, D.unit_attname(nm))
class AreaTest(unittest.TestCase):
"Testing the Area object"
def testInit(self):
"Testing initialisation from valid units"
a = Area(sq_m=100)
self.assertEqual(a.sq_m, 100)
a = A(sq_m=100)
self.assertEqual(a.sq_m, 100)
a = A(sq_mi=100)
self.assertEqual(a.sq_m, 258998811.0336)
def testInitInvaliA(self):
"Testing initialisation from invalid units"
self.assertRaises(AttributeError, A, banana=100)
def testAccess(self):
"Testing access in different units"
a = A(sq_m=100)
self.assertEqual(a.sq_km, 0.0001)
self.assertAlmostEqual(a.sq_ft, 1076.391, 3)
def testAccessInvaliA(self):
"Testing access in invalid units"
a = A(sq_m=100)
self.failIf(hasattr(a, 'banana'))
def testAddition(self):
"Test addition & subtraction"
a1 = A(sq_m=100)
a2 = A(sq_m=200)
a3 = a1 + a2
self.assertEqual(a3.sq_m, 300)
a3 += a1
self.assertEqual(a3.sq_m, 400)
a4 = a1 - a2
self.assertEqual(a4.sq_m, -100)
a4 -= a1
self.assertEqual(a4.sq_m, -200)
try:
a5 = a1 + 1
except TypeError, e:
pass
else:
self.fail('Area + number should raise TypeError')
try:
a5 = a1 - 1
except TypeError, e:
pass
else:
self.fail('Area - number should raise TypeError')
try:
a1 += 1
except TypeError, e:
pass
else:
self.fail('Area += number should raise TypeError')
try:
a1 -= 1
except TypeError, e:
pass
else:
self.fail('Area -= number should raise TypeError')
def testMultiplication(self):
"Test multiplication & division"
a1 = A(sq_m=100)
a3 = a1 * 2
self.assertEqual(a3.sq_m, 200)
a3 = 2 * a1
self.assertEqual(a3.sq_m, 200)
a3 *= 5
self.assertEqual(a3.sq_m, 1000)
a4 = a1 / 2
self.assertEqual(a4.sq_m, 50)
a4 /= 5
self.assertEqual(a4.sq_m, 10)
try:
a5 = a1 * A(sq_m=1)
except TypeError, e:
pass
else:
self.fail('Area * Area should raise TypeError')
try:
a1 *= A(sq_m=1)
except TypeError, e:
pass
else:
self.fail('Area *= Area should raise TypeError')
try:
a5 = a1 / A(sq_m=1)
except TypeError, e:
pass
else:
self.fail('Area / Area should raise TypeError')
try:
a1 /= A(sq_m=1)
except TypeError, e:
pass
else:
self.fail('Area /= Area should raise TypeError')
def testUnitConversions(self):
"Testing default units during maths"
a1 = A(sq_m=100)
a2 = A(sq_km=1)
a3 = a1 + a2
self.assertEqual(a3._default_unit, 'sq_m')
a4 = a2 + a1
self.assertEqual(a4._default_unit, 'sq_km')
a5 = a1 * 2
self.assertEqual(a5._default_unit, 'sq_m')
a6 = a1 / 2
self.assertEqual(a6._default_unit, 'sq_m')
def testComparisons(self):
"Testing comparisons"
a1 = A(sq_m=100)
a2 = A(sq_km=1)
a3 = A(sq_km=0)
self.assert_(a2 > a1)
self.assert_(a1 == a1)
self.assert_(a1 < a2)
self.failIf(a3)
def testUnitsStr(self):
"Testing conversion to strings"
a1 = A(sq_m=100)
a2 = A(sq_km=3.5)
self.assertEqual(str(a1), '100.0 sq_m')
self.assertEqual(str(a2), '3.5 sq_km')
self.assertEqual(repr(a1), 'Area(sq_m=100.0)')
self.assertEqual(repr(a2), 'Area(sq_km=3.5)')
def suite():
s = unittest.TestSuite()
s.addTest(unittest.makeSuite(DistanceTest))
s.addTest(unittest.makeSuite(AreaTest))
return s
def run(verbosity=2):
unittest.TextTestRunner(verbosity=verbosity).run(suite())
if __name__=="__main__":
run()
| 8,965 | Python | .py | 274 | 22.751825 | 105 | 0.54103 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,667 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geogapp/models.py | from django.contrib.gis.db import models
class City(models.Model):
name = models.CharField(max_length=30)
point = models.PointField(geography=True)
objects = models.GeoManager()
def __unicode__(self): return self.name
class Zipcode(models.Model):
code = models.CharField(max_length=10)
poly = models.PolygonField(geography=True)
objects = models.GeoManager()
def __unicode__(self): return self.code
class County(models.Model):
name = models.CharField(max_length=25)
state = models.CharField(max_length=20)
mpoly = models.MultiPolygonField(geography=True)
objects = models.GeoManager()
def __unicode__(self): return ' County, '.join([self.name, self.state])
| 712 | Python | .py | 17 | 37.647059 | 75 | 0.725434 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,668 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geogapp/tests.py | """
Tests for geography support in PostGIS 1.5+
"""
import os
from django.contrib.gis import gdal
from django.contrib.gis.measure import D
from django.test import TestCase
from models import City, County, Zipcode
class GeographyTest(TestCase):
def test01_fixture_load(self):
"Ensure geography features loaded properly."
self.assertEqual(8, City.objects.count())
def test02_distance_lookup(self):
"Testing GeoQuerySet distance lookup support on non-point geography fields."
z = Zipcode.objects.get(code='77002')
cities1 = list(City.objects
.filter(point__distance_lte=(z.poly, D(mi=500)))
.order_by('name')
.values_list('name', flat=True))
cities2 = list(City.objects
.filter(point__dwithin=(z.poly, D(mi=500)))
.order_by('name')
.values_list('name', flat=True))
for cities in [cities1, cities2]:
self.assertEqual(['Dallas', 'Houston', 'Oklahoma City'], cities)
def test03_distance_method(self):
"Testing GeoQuerySet.distance() support on non-point geography fields."
# `GeoQuerySet.distance` is not allowed geometry fields.
htown = City.objects.get(name='Houston')
qs = Zipcode.objects.distance(htown.point)
def test04_invalid_operators_functions(self):
"Ensuring exceptions are raised for operators & functions invalid on geography fields."
# Only a subset of the geometry functions & operator are available
# to PostGIS geography types. For more information, visit:
# http://postgis.refractions.net/documentation/manual-1.5/ch08.html#PostGIS_GeographyFunctions
z = Zipcode.objects.get(code='77002')
# ST_Within not available.
self.assertRaises(ValueError, City.objects.filter(point__within=z.poly).count)
# `@` operator not available.
self.assertRaises(ValueError, City.objects.filter(point__contained=z.poly).count)
# Regression test for #14060, `~=` was never really implemented for PostGIS.
htown = City.objects.get(name='Houston')
self.assertRaises(ValueError, City.objects.get, point__exact=htown.point)
def test05_geography_layermapping(self):
"Testing LayerMapping support on models with geography fields."
# There is a similar test in `layermap` that uses the same data set,
# but the County model here is a bit different.
if not gdal.HAS_GDAL: return
from django.contrib.gis.utils import LayerMapping
# Getting the shapefile and mapping dictionary.
shp_path = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data'))
co_shp = os.path.join(shp_path, 'counties', 'counties.shp')
co_mapping = {'name' : 'Name',
'state' : 'State',
'mpoly' : 'MULTIPOLYGON',
}
# Reference county names, number of polygons, and state names.
names = ['Bexar', 'Galveston', 'Harris', 'Honolulu', 'Pueblo']
num_polys = [1, 2, 1, 19, 1] # Number of polygons for each.
st_names = ['Texas', 'Texas', 'Texas', 'Hawaii', 'Colorado']
lm = LayerMapping(County, co_shp, co_mapping, source_srs=4269, unique='name')
lm.save(silent=True, strict=True)
for c, name, num_poly, state in zip(County.objects.order_by('name'), names, num_polys, st_names):
self.assertEqual(4326, c.mpoly.srid)
self.assertEqual(num_poly, len(c.mpoly))
self.assertEqual(name, c.name)
self.assertEqual(state, c.state)
def test06_geography_area(self):
"Testing that Area calculations work on geography columns."
from django.contrib.gis.measure import A
# SELECT ST_Area(poly) FROM geogapp_zipcode WHERE code='77002';
ref_area = 5439084.70637573
tol = 5
z = Zipcode.objects.area().get(code='77002')
self.assertAlmostEqual(z.area.sq_m, ref_area, tol)
| 4,080 | Python | .py | 75 | 44.493333 | 105 | 0.642625 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,669 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/layermap/models.py | from django.contrib.gis.db import models
class State(models.Model):
name = models.CharField(max_length=20)
objects = models.GeoManager()
class County(models.Model):
name = models.CharField(max_length=25)
state = models.ForeignKey(State)
mpoly = models.MultiPolygonField(srid=4269) # Multipolygon in NAD83
objects = models.GeoManager()
class CountyFeat(models.Model):
name = models.CharField(max_length=25)
poly = models.PolygonField(srid=4269)
objects = models.GeoManager()
class City(models.Model):
name = models.CharField(max_length=25)
population = models.IntegerField()
density = models.DecimalField(max_digits=7, decimal_places=1)
dt = models.DateField()
point = models.PointField()
objects = models.GeoManager()
class Interstate(models.Model):
name = models.CharField(max_length=20)
length = models.DecimalField(max_digits=6, decimal_places=2)
path = models.LineStringField()
objects = models.GeoManager()
# Same as `City` above, but for testing model inheritance.
class CityBase(models.Model):
name = models.CharField(max_length=25)
population = models.IntegerField()
density = models.DecimalField(max_digits=7, decimal_places=1)
point = models.PointField()
objects = models.GeoManager()
class ICity1(CityBase):
dt = models.DateField()
class ICity2(ICity1):
dt_time = models.DateTimeField(auto_now=True)
# Mapping dictionaries for the models above.
co_mapping = {'name' : 'Name',
'state' : {'name' : 'State'}, # ForeignKey's use another mapping dictionary for the _related_ Model (State in this case).
'mpoly' : 'MULTIPOLYGON', # Will convert POLYGON features into MULTIPOLYGONS.
}
cofeat_mapping = {'name' : 'Name',
'poly' : 'POLYGON',
}
city_mapping = {'name' : 'Name',
'population' : 'Population',
'density' : 'Density',
'dt' : 'Created',
'point' : 'POINT',
}
inter_mapping = {'name' : 'Name',
'length' : 'Length',
'path' : 'LINESTRING',
}
| 2,179 | Python | .py | 54 | 33.259259 | 135 | 0.649123 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,670 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/layermap/tests.py | import os
import unittest
from decimal import Decimal
from django.utils.copycompat import copy
from django.contrib.gis.gdal import DataSource
from django.contrib.gis.tests.utils import mysql
from django.contrib.gis.utils.layermapping import LayerMapping, LayerMapError, InvalidDecimal, MissingForeignKey
from models import City, County, CountyFeat, Interstate, ICity1, ICity2, State, city_mapping, co_mapping, cofeat_mapping, inter_mapping
shp_path = os.path.realpath(os.path.join(os.path.dirname(__file__), os.pardir, 'data'))
city_shp = os.path.join(shp_path, 'cities', 'cities.shp')
co_shp = os.path.join(shp_path, 'counties', 'counties.shp')
inter_shp = os.path.join(shp_path, 'interstates', 'interstates.shp')
# Dictionaries to hold what's expected in the county shapefile.
NAMES = ['Bexar', 'Galveston', 'Harris', 'Honolulu', 'Pueblo']
NUMS = [1, 2, 1, 19, 1] # Number of polygons for each.
STATES = ['Texas', 'Texas', 'Texas', 'Hawaii', 'Colorado']
class LayerMapTest(unittest.TestCase):
def test01_init(self):
"Testing LayerMapping initialization."
# Model field that does not exist.
bad1 = copy(city_mapping)
bad1['foobar'] = 'FooField'
# Shapefile field that does not exist.
bad2 = copy(city_mapping)
bad2['name'] = 'Nombre'
# Nonexistent geographic field type.
bad3 = copy(city_mapping)
bad3['point'] = 'CURVE'
# Incrementing through the bad mapping dictionaries and
# ensuring that a LayerMapError is raised.
for bad_map in (bad1, bad2, bad3):
try:
lm = LayerMapping(City, city_shp, bad_map)
except LayerMapError:
pass
else:
self.fail('Expected a LayerMapError.')
# A LookupError should be thrown for bogus encodings.
try:
lm = LayerMapping(City, city_shp, city_mapping, encoding='foobar')
except LookupError:
pass
else:
self.fail('Expected a LookupError')
def test02_simple_layermap(self):
"Test LayerMapping import of a simple point shapefile."
# Setting up for the LayerMapping.
lm = LayerMapping(City, city_shp, city_mapping)
lm.save()
# There should be three cities in the shape file.
self.assertEqual(3, City.objects.count())
# Opening up the shapefile, and verifying the values in each
# of the features made it to the model.
ds = DataSource(city_shp)
layer = ds[0]
for feat in layer:
city = City.objects.get(name=feat['Name'].value)
self.assertEqual(feat['Population'].value, city.population)
self.assertEqual(Decimal(str(feat['Density'])), city.density)
self.assertEqual(feat['Created'].value, city.dt)
# Comparing the geometries.
pnt1, pnt2 = feat.geom, city.point
self.assertAlmostEqual(pnt1.x, pnt2.x, 6)
self.assertAlmostEqual(pnt1.y, pnt2.y, 6)
def test03_layermap_strict(self):
"Testing the `strict` keyword, and import of a LineString shapefile."
# When the `strict` keyword is set an error encountered will force
# the importation to stop.
try:
lm = LayerMapping(Interstate, inter_shp, inter_mapping)
lm.save(silent=True, strict=True)
except InvalidDecimal:
# No transactions for geoms on MySQL; delete added features.
if mysql: Interstate.objects.all().delete()
else:
self.fail('Should have failed on strict import with invalid decimal values.')
# This LayerMapping should work b/c `strict` is not set.
lm = LayerMapping(Interstate, inter_shp, inter_mapping)
lm.save(silent=True)
# Two interstate should have imported correctly.
self.assertEqual(2, Interstate.objects.count())
# Verifying the values in the layer w/the model.
ds = DataSource(inter_shp)
# Only the first two features of this shapefile are valid.
valid_feats = ds[0][:2]
for feat in valid_feats:
istate = Interstate.objects.get(name=feat['Name'].value)
if feat.fid == 0:
self.assertEqual(Decimal(str(feat['Length'])), istate.length)
elif feat.fid == 1:
# Everything but the first two decimal digits were truncated,
# because the Interstate model's `length` field has decimal_places=2.
self.assertAlmostEqual(feat.get('Length'), float(istate.length), 2)
for p1, p2 in zip(feat.geom, istate.path):
self.assertAlmostEqual(p1[0], p2[0], 6)
self.assertAlmostEqual(p1[1], p2[1], 6)
def county_helper(self, county_feat=True):
"Helper function for ensuring the integrity of the mapped County models."
for name, n, st in zip(NAMES, NUMS, STATES):
# Should only be one record b/c of `unique` keyword.
c = County.objects.get(name=name)
self.assertEqual(n, len(c.mpoly))
self.assertEqual(st, c.state.name) # Checking ForeignKey mapping.
# Multiple records because `unique` was not set.
if county_feat:
qs = CountyFeat.objects.filter(name=name)
self.assertEqual(n, qs.count())
def test04_layermap_unique_multigeometry_fk(self):
"Testing the `unique`, and `transform`, geometry collection conversion, and ForeignKey mappings."
# All the following should work.
try:
# Telling LayerMapping that we want no transformations performed on the data.
lm = LayerMapping(County, co_shp, co_mapping, transform=False)
# Specifying the source spatial reference system via the `source_srs` keyword.
lm = LayerMapping(County, co_shp, co_mapping, source_srs=4269)
lm = LayerMapping(County, co_shp, co_mapping, source_srs='NAD83')
# Unique may take tuple or string parameters.
for arg in ('name', ('name', 'mpoly')):
lm = LayerMapping(County, co_shp, co_mapping, transform=False, unique=arg)
except:
self.fail('No exception should be raised for proper use of keywords.')
# Testing invalid params for the `unique` keyword.
for e, arg in ((TypeError, 5.0), (ValueError, 'foobar'), (ValueError, ('name', 'mpolygon'))):
self.assertRaises(e, LayerMapping, County, co_shp, co_mapping, transform=False, unique=arg)
# No source reference system defined in the shapefile, should raise an error.
if not mysql:
self.assertRaises(LayerMapError, LayerMapping, County, co_shp, co_mapping)
# Passing in invalid ForeignKey mapping parameters -- must be a dictionary
# mapping for the model the ForeignKey points to.
bad_fk_map1 = copy(co_mapping); bad_fk_map1['state'] = 'name'
bad_fk_map2 = copy(co_mapping); bad_fk_map2['state'] = {'nombre' : 'State'}
self.assertRaises(TypeError, LayerMapping, County, co_shp, bad_fk_map1, transform=False)
self.assertRaises(LayerMapError, LayerMapping, County, co_shp, bad_fk_map2, transform=False)
# There exist no State models for the ForeignKey mapping to work -- should raise
# a MissingForeignKey exception (this error would be ignored if the `strict`
# keyword is not set).
lm = LayerMapping(County, co_shp, co_mapping, transform=False, unique='name')
self.assertRaises(MissingForeignKey, lm.save, silent=True, strict=True)
# Now creating the state models so the ForeignKey mapping may work.
co, hi, tx = State(name='Colorado'), State(name='Hawaii'), State(name='Texas')
co.save(), hi.save(), tx.save()
# If a mapping is specified as a collection, all OGR fields that
# are not collections will be converted into them. For example,
# a Point column would be converted to MultiPoint. Other things being done
# w/the keyword args:
# `transform=False`: Specifies that no transform is to be done; this
# has the effect of ignoring the spatial reference check (because the
# county shapefile does not have implicit spatial reference info).
#
# `unique='name'`: Creates models on the condition that they have
# unique county names; geometries from each feature however will be
# appended to the geometry collection of the unique model. Thus,
# all of the various islands in Honolulu county will be in in one
# database record with a MULTIPOLYGON type.
lm = LayerMapping(County, co_shp, co_mapping, transform=False, unique='name')
lm.save(silent=True, strict=True)
# A reference that doesn't use the unique keyword; a new database record will
# created for each polygon.
lm = LayerMapping(CountyFeat, co_shp, cofeat_mapping, transform=False)
lm.save(silent=True, strict=True)
# The county helper is called to ensure integrity of County models.
self.county_helper()
def test05_test_fid_range_step(self):
"Tests the `fid_range` keyword and the `step` keyword of .save()."
# Function for clearing out all the counties before testing.
def clear_counties(): County.objects.all().delete()
# Initializing the LayerMapping object to use in these tests.
lm = LayerMapping(County, co_shp, co_mapping, transform=False, unique='name')
# Bad feature id ranges should raise a type error.
clear_counties()
bad_ranges = (5.0, 'foo', co_shp)
for bad in bad_ranges:
self.assertRaises(TypeError, lm.save, fid_range=bad)
# Step keyword should not be allowed w/`fid_range`.
fr = (3, 5) # layer[3:5]
self.assertRaises(LayerMapError, lm.save, fid_range=fr, step=10)
lm.save(fid_range=fr)
# Features IDs 3 & 4 are for Galveston County, Texas -- only
# one model is returned because the `unique` keyword was set.
qs = County.objects.all()
self.assertEqual(1, qs.count())
self.assertEqual('Galveston', qs[0].name)
# Features IDs 5 and beyond for Honolulu County, Hawaii, and
# FID 0 is for Pueblo County, Colorado.
clear_counties()
lm.save(fid_range=slice(5, None), silent=True, strict=True) # layer[5:]
lm.save(fid_range=slice(None, 1), silent=True, strict=True) # layer[:1]
# Only Pueblo & Honolulu counties should be present because of
# the `unique` keyword. Have to set `order_by` on this QuerySet
# or else MySQL will return a different ordering than the other dbs.
qs = County.objects.order_by('name')
self.assertEqual(2, qs.count())
hi, co = tuple(qs)
hi_idx, co_idx = tuple(map(NAMES.index, ('Honolulu', 'Pueblo')))
self.assertEqual('Pueblo', co.name); self.assertEqual(NUMS[co_idx], len(co.mpoly))
self.assertEqual('Honolulu', hi.name); self.assertEqual(NUMS[hi_idx], len(hi.mpoly))
# Testing the `step` keyword -- should get the same counties
# regardless of we use a step that divides equally, that is odd,
# or that is larger than the dataset.
for st in (4,7,1000):
clear_counties()
lm.save(step=st, strict=True)
self.county_helper(county_feat=False)
def test06_model_inheritance(self):
"Tests LayerMapping on inherited models. See #12093."
icity_mapping = {'name' : 'Name',
'population' : 'Population',
'density' : 'Density',
'point' : 'POINT',
'dt' : 'Created',
}
# Parent model has geometry field.
lm1 = LayerMapping(ICity1, city_shp, icity_mapping)
lm1.save()
# Grandparent has geometry field.
lm2 = LayerMapping(ICity2, city_shp, icity_mapping)
lm2.save()
self.assertEqual(6, ICity1.objects.count())
self.assertEqual(3, ICity2.objects.count())
| 12,459 | Python | .py | 219 | 45.789954 | 202 | 0.633259 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,671 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/distapp/models.py | from django.contrib.gis.db import models
class SouthTexasCity(models.Model):
"City model on projected coordinate system for South Texas."
name = models.CharField(max_length=30)
point = models.PointField(srid=32140)
objects = models.GeoManager()
def __unicode__(self): return self.name
class SouthTexasCityFt(models.Model):
"Same City model as above, but U.S. survey feet are the units."
name = models.CharField(max_length=30)
point = models.PointField(srid=2278)
objects = models.GeoManager()
def __unicode__(self): return self.name
class AustraliaCity(models.Model):
"City model for Australia, using WGS84."
name = models.CharField(max_length=30)
point = models.PointField()
objects = models.GeoManager()
def __unicode__(self): return self.name
class CensusZipcode(models.Model):
"Model for a few South Texas ZIP codes (in original Census NAD83)."
name = models.CharField(max_length=5)
poly = models.PolygonField(srid=4269)
objects = models.GeoManager()
def __unicode__(self): return self.name
class SouthTexasZipcode(models.Model):
"Model for a few South Texas ZIP codes."
name = models.CharField(max_length=5)
poly = models.PolygonField(srid=32140, null=True)
objects = models.GeoManager()
def __unicode__(self): return self.name
class Interstate(models.Model):
"Geodetic model for U.S. Interstates."
name = models.CharField(max_length=10)
path = models.LineStringField()
objects = models.GeoManager()
def __unicode__(self): return self.name
class SouthTexasInterstate(models.Model):
"Projected model for South Texas Interstates."
name = models.CharField(max_length=10)
path = models.LineStringField(srid=32140)
objects = models.GeoManager()
def __unicode__(self): return self.name
| 1,832 | Python | .py | 43 | 38.186047 | 71 | 0.727273 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,672 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/distapp/tests.py | import os
from decimal import Decimal
from django.db import connection
from django.db.models import Q
from django.contrib.gis.geos import GEOSGeometry, Point, LineString
from django.contrib.gis.measure import D # alias for Distance
from django.contrib.gis.tests.utils import oracle, postgis, spatialite, no_oracle, no_spatialite
from django.test import TestCase
from models import AustraliaCity, Interstate, SouthTexasInterstate, \
SouthTexasCity, SouthTexasCityFt, CensusZipcode, SouthTexasZipcode
class DistanceTest(TestCase):
# A point we are testing distances with -- using a WGS84
# coordinate that'll be implicitly transormed to that to
# the coordinate system of the field, EPSG:32140 (Texas South Central
# w/units in meters)
stx_pnt = GEOSGeometry('POINT (-95.370401017314293 29.704867409475465)', 4326)
# Another one for Australia
au_pnt = GEOSGeometry('POINT (150.791 -34.4919)', 4326)
def get_names(self, qs):
cities = [c.name for c in qs]
cities.sort()
return cities
def test01_init(self):
"Test initialization of distance models."
self.assertEqual(9, SouthTexasCity.objects.count())
self.assertEqual(9, SouthTexasCityFt.objects.count())
self.assertEqual(11, AustraliaCity.objects.count())
self.assertEqual(4, SouthTexasZipcode.objects.count())
self.assertEqual(4, CensusZipcode.objects.count())
self.assertEqual(1, Interstate.objects.count())
self.assertEqual(1, SouthTexasInterstate.objects.count())
@no_spatialite
def test02_dwithin(self):
"Testing the `dwithin` lookup type."
# Distances -- all should be equal (except for the
# degree/meter pair in au_cities, that's somewhat
# approximate).
tx_dists = [(7000, 22965.83), D(km=7), D(mi=4.349)]
au_dists = [(0.5, 32000), D(km=32), D(mi=19.884)]
# Expected cities for Australia and Texas.
tx_cities = ['Downtown Houston', 'Southside Place']
au_cities = ['Mittagong', 'Shellharbour', 'Thirroul', 'Wollongong']
# Performing distance queries on two projected coordinate systems one
# with units in meters and the other in units of U.S. survey feet.
for dist in tx_dists:
if isinstance(dist, tuple): dist1, dist2 = dist
else: dist1 = dist2 = dist
qs1 = SouthTexasCity.objects.filter(point__dwithin=(self.stx_pnt, dist1))
qs2 = SouthTexasCityFt.objects.filter(point__dwithin=(self.stx_pnt, dist2))
for qs in qs1, qs2:
self.assertEqual(tx_cities, self.get_names(qs))
# Now performing the `dwithin` queries on a geodetic coordinate system.
for dist in au_dists:
if isinstance(dist, D) and not oracle: type_error = True
else: type_error = False
if isinstance(dist, tuple):
if oracle: dist = dist[1]
else: dist = dist[0]
# Creating the query set.
qs = AustraliaCity.objects.order_by('name')
if type_error:
# A ValueError should be raised on PostGIS when trying to pass
# Distance objects into a DWithin query using a geodetic field.
self.assertRaises(ValueError, AustraliaCity.objects.filter(point__dwithin=(self.au_pnt, dist)).count)
else:
self.assertEqual(au_cities, self.get_names(qs.filter(point__dwithin=(self.au_pnt, dist))))
def test03a_distance_method(self):
"Testing the `distance` GeoQuerySet method on projected coordinate systems."
# The point for La Grange, TX
lagrange = GEOSGeometry('POINT(-96.876369 29.905320)', 4326)
# Reference distances in feet and in meters. Got these values from
# using the provided raw SQL statements.
# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 32140)) FROM distapp_southtexascity;
m_distances = [147075.069813, 139630.198056, 140888.552826,
138809.684197, 158309.246259, 212183.594374,
70870.188967, 165337.758878, 139196.085105]
# SELECT ST_Distance(point, ST_Transform(ST_GeomFromText('POINT(-96.876369 29.905320)', 4326), 2278)) FROM distapp_southtexascityft;
# Oracle 11 thinks this is not a projected coordinate system, so it's s
# not tested.
ft_distances = [482528.79154625, 458103.408123001, 462231.860397575,
455411.438904354, 519386.252102563, 696139.009211594,
232513.278304279, 542445.630586414, 456679.155883207]
# Testing using different variations of parameters and using models
# with different projected coordinate systems.
dist1 = SouthTexasCity.objects.distance(lagrange, field_name='point')
dist2 = SouthTexasCity.objects.distance(lagrange) # Using GEOSGeometry parameter
if spatialite or oracle:
dist_qs = [dist1, dist2]
else:
dist3 = SouthTexasCityFt.objects.distance(lagrange.ewkt) # Using EWKT string parameter.
dist4 = SouthTexasCityFt.objects.distance(lagrange)
dist_qs = [dist1, dist2, dist3, dist4]
# Original query done on PostGIS, have to adjust AlmostEqual tolerance
# for Oracle.
if oracle: tol = 2
else: tol = 5
# Ensuring expected distances are returned for each distance queryset.
for qs in dist_qs:
for i, c in enumerate(qs):
self.assertAlmostEqual(m_distances[i], c.distance.m, tol)
self.assertAlmostEqual(ft_distances[i], c.distance.survey_ft, tol)
@no_spatialite
def test03b_distance_method(self):
"Testing the `distance` GeoQuerySet method on geodetic coordnate systems."
if oracle: tol = 2
else: tol = 5
# Testing geodetic distance calculation with a non-point geometry
# (a LineString of Wollongong and Shellharbour coords).
ls = LineString( ( (150.902, -34.4245), (150.87, -34.5789) ) )
if oracle or connection.ops.geography:
# Reference query:
# SELECT ST_distance_sphere(point, ST_GeomFromText('LINESTRING(150.9020 -34.4245,150.8700 -34.5789)', 4326)) FROM distapp_australiacity ORDER BY name;
distances = [1120954.92533513, 140575.720018241, 640396.662906304,
60580.9693849269, 972807.955955075, 568451.8357838,
40435.4335201384, 0, 68272.3896586844, 12375.0643697706, 0]
qs = AustraliaCity.objects.distance(ls).order_by('name')
for city, distance in zip(qs, distances):
# Testing equivalence to within a meter.
self.assertAlmostEqual(distance, city.distance.m, 0)
else:
# PostGIS 1.4 and below is limited to disance queries only
# to/from point geometries, check for raising of ValueError.
self.assertRaises(ValueError, AustraliaCity.objects.distance, ls)
self.assertRaises(ValueError, AustraliaCity.objects.distance, ls.wkt)
# Got the reference distances using the raw SQL statements:
# SELECT ST_distance_spheroid(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326), 'SPHEROID["WGS 84",6378137.0,298.257223563]') FROM distapp_australiacity WHERE (NOT (id = 11));
# SELECT ST_distance_sphere(point, ST_GeomFromText('POINT(151.231341 -33.952685)', 4326)) FROM distapp_australiacity WHERE (NOT (id = 11)); st_distance_sphere
if connection.ops.postgis and connection.ops.proj_version_tuple() >= (4, 7, 0):
# PROJ.4 versions 4.7+ have updated datums, and thus different
# distance values.
spheroid_distances = [60504.0628957201, 77023.9489850262, 49154.8867574404,
90847.4358768573, 217402.811919332, 709599.234564757,
640011.483550888, 7772.00667991925, 1047861.78619339,
1165126.55236034]
sphere_distances = [60580.9693849267, 77144.0435286473, 49199.4415344719,
90804.7533823494, 217713.384600405, 709134.127242793,
639828.157159169, 7786.82949717788, 1049204.06569028,
1162623.7238134]
else:
spheroid_distances = [60504.0628825298, 77023.948962654, 49154.8867507115,
90847.435881812, 217402.811862568, 709599.234619957,
640011.483583758, 7772.00667666425, 1047861.7859506,
1165126.55237647]
sphere_distances = [60580.7612632291, 77143.7785056615, 49199.2725132184,
90804.4414289463, 217712.63666124, 709131.691061906,
639825.959074112, 7786.80274606706, 1049200.46122281,
1162619.7297006]
# Testing with spheroid distances first.
hillsdale = AustraliaCity.objects.get(name='Hillsdale')
qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point, spheroid=True)
for i, c in enumerate(qs):
self.assertAlmostEqual(spheroid_distances[i], c.distance.m, tol)
if postgis:
# PostGIS uses sphere-only distances by default, testing these as well.
qs = AustraliaCity.objects.exclude(id=hillsdale.id).distance(hillsdale.point)
for i, c in enumerate(qs):
self.assertAlmostEqual(sphere_distances[i], c.distance.m, tol)
@no_oracle # Oracle already handles geographic distance calculation.
def test03c_distance_method(self):
"Testing the `distance` GeoQuerySet method used with `transform` on a geographic field."
# Normally you can't compute distances from a geometry field
# that is not a PointField (on PostGIS 1.4 and below).
if not connection.ops.geography:
self.assertRaises(ValueError, CensusZipcode.objects.distance, self.stx_pnt)
# We'll be using a Polygon (created by buffering the centroid
# of 77005 to 100m) -- which aren't allowed in geographic distance
# queries normally, however our field has been transformed to
# a non-geographic system.
z = SouthTexasZipcode.objects.get(name='77005')
# Reference query:
# SELECT ST_Distance(ST_Transform("distapp_censuszipcode"."poly", 32140), ST_GeomFromText('<buffer_wkt>', 32140)) FROM "distapp_censuszipcode";
dists_m = [3553.30384972258, 1243.18391525602, 2186.15439472242]
# Having our buffer in the SRID of the transformation and of the field
# -- should get the same results. The first buffer has no need for
# transformation SQL because it is the same SRID as what was given
# to `transform()`. The second buffer will need to be transformed,
# however.
buf1 = z.poly.centroid.buffer(100)
buf2 = buf1.transform(4269, clone=True)
ref_zips = ['77002', '77025', '77401']
for buf in [buf1, buf2]:
qs = CensusZipcode.objects.exclude(name='77005').transform(32140).distance(buf)
self.assertEqual(ref_zips, self.get_names(qs))
for i, z in enumerate(qs):
self.assertAlmostEqual(z.distance.m, dists_m[i], 5)
def test04_distance_lookups(self):
"Testing the `distance_lt`, `distance_gt`, `distance_lte`, and `distance_gte` lookup types."
# Retrieving the cities within a 20km 'donut' w/a 7km radius 'hole'
# (thus, Houston and Southside place will be excluded as tested in
# the `test02_dwithin` above).
qs1 = SouthTexasCity.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(point__distance_lte=(self.stx_pnt, D(km=20)))
# Can't determine the units on SpatiaLite from PROJ.4 string, and
# Oracle 11 incorrectly thinks it is not projected.
if spatialite or oracle:
dist_qs = (qs1,)
else:
qs2 = SouthTexasCityFt.objects.filter(point__distance_gte=(self.stx_pnt, D(km=7))).filter(point__distance_lte=(self.stx_pnt, D(km=20)))
dist_qs = (qs1, qs2)
for qs in dist_qs:
cities = self.get_names(qs)
self.assertEqual(cities, ['Bellaire', 'Pearland', 'West University Place'])
# Doing a distance query using Polygons instead of a Point.
z = SouthTexasZipcode.objects.get(name='77005')
qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=275)))
self.assertEqual(['77025', '77401'], self.get_names(qs))
# If we add a little more distance 77002 should be included.
qs = SouthTexasZipcode.objects.exclude(name='77005').filter(poly__distance_lte=(z.poly, D(m=300)))
self.assertEqual(['77002', '77025', '77401'], self.get_names(qs))
def test05_geodetic_distance_lookups(self):
"Testing distance lookups on geodetic coordinate systems."
# Line is from Canberra to Sydney. Query is for all other cities within
# a 100km of that line (which should exclude only Hobart & Adelaide).
line = GEOSGeometry('LINESTRING(144.9630 -37.8143,151.2607 -33.8870)', 4326)
dist_qs = AustraliaCity.objects.filter(point__distance_lte=(line, D(km=100)))
if oracle or connection.ops.geography:
# Oracle and PostGIS 1.5 can do distance lookups on arbitrary geometries.
self.assertEqual(9, dist_qs.count())
self.assertEqual(['Batemans Bay', 'Canberra', 'Hillsdale',
'Melbourne', 'Mittagong', 'Shellharbour',
'Sydney', 'Thirroul', 'Wollongong'],
self.get_names(dist_qs))
else:
# PostGIS 1.4 and below only allows geodetic distance queries (utilizing
# ST_Distance_Sphere/ST_Distance_Spheroid) from Points to PointFields
# on geometry columns.
self.assertRaises(ValueError, dist_qs.count)
# Ensured that a ValueError was raised, none of the rest of the test is
# support on this backend, so bail now.
if spatialite: return
# Too many params (4 in this case) should raise a ValueError.
self.assertRaises(ValueError, len,
AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)', D(km=100), 'spheroid', '4')))
# Not enough params should raise a ValueError.
self.assertRaises(ValueError, len,
AustraliaCity.objects.filter(point__distance_lte=('POINT(5 23)',)))
# Getting all cities w/in 550 miles of Hobart.
hobart = AustraliaCity.objects.get(name='Hobart')
qs = AustraliaCity.objects.exclude(name='Hobart').filter(point__distance_lte=(hobart.point, D(mi=550)))
cities = self.get_names(qs)
self.assertEqual(cities, ['Batemans Bay', 'Canberra', 'Melbourne'])
# Cities that are either really close or really far from Wollongong --
# and using different units of distance.
wollongong = AustraliaCity.objects.get(name='Wollongong')
d1, d2 = D(yd=19500), D(nm=400) # Yards (~17km) & Nautical miles.
# Normal geodetic distance lookup (uses `distance_sphere` on PostGIS.
gq1 = Q(point__distance_lte=(wollongong.point, d1))
gq2 = Q(point__distance_gte=(wollongong.point, d2))
qs1 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq1 | gq2)
# Geodetic distance lookup but telling GeoDjango to use `distance_spheroid`
# instead (we should get the same results b/c accuracy variance won't matter
# in this test case).
if postgis:
gq3 = Q(point__distance_lte=(wollongong.point, d1, 'spheroid'))
gq4 = Q(point__distance_gte=(wollongong.point, d2, 'spheroid'))
qs2 = AustraliaCity.objects.exclude(name='Wollongong').filter(gq3 | gq4)
querysets = [qs1, qs2]
else:
querysets = [qs1]
for qs in querysets:
cities = self.get_names(qs)
self.assertEqual(cities, ['Adelaide', 'Hobart', 'Shellharbour', 'Thirroul'])
def test06_area(self):
"Testing the `area` GeoQuerySet method."
# Reference queries:
# SELECT ST_Area(poly) FROM distapp_southtexaszipcode;
area_sq_m = [5437908.90234375, 10183031.4389648, 11254471.0073242, 9881708.91772461]
# Tolerance has to be lower for Oracle and differences
# with GEOS 3.0.0RC4
tol = 2
for i, z in enumerate(SouthTexasZipcode.objects.area()):
self.assertAlmostEqual(area_sq_m[i], z.area.sq_m, tol)
def test07_length(self):
"Testing the `length` GeoQuerySet method."
# Reference query (should use `length_spheroid`).
# SELECT ST_length_spheroid(ST_GeomFromText('<wkt>', 4326) 'SPHEROID["WGS 84",6378137,298.257223563, AUTHORITY["EPSG","7030"]]');
len_m1 = 473504.769553813
len_m2 = 4617.668
if spatialite:
# Does not support geodetic coordinate systems.
self.assertRaises(ValueError, Interstate.objects.length)
else:
qs = Interstate.objects.length()
if oracle: tol = 2
else: tol = 5
self.assertAlmostEqual(len_m1, qs[0].length.m, tol)
# Now doing length on a projected coordinate system.
i10 = SouthTexasInterstate.objects.length().get(name='I-10')
self.assertAlmostEqual(len_m2, i10.length.m, 2)
@no_spatialite
def test08_perimeter(self):
"Testing the `perimeter` GeoQuerySet method."
# Reference query:
# SELECT ST_Perimeter(distapp_southtexaszipcode.poly) FROM distapp_southtexaszipcode;
perim_m = [18404.3550889361, 15627.2108551001, 20632.5588368978, 17094.5996143697]
if oracle: tol = 2
else: tol = 7
for i, z in enumerate(SouthTexasZipcode.objects.perimeter()):
self.assertAlmostEqual(perim_m[i], z.perimeter.m, tol)
# Running on points; should return 0.
for i, c in enumerate(SouthTexasCity.objects.perimeter(model_att='perim')):
self.assertEqual(0, c.perim.m)
def test09_measurement_null_fields(self):
"Testing the measurement GeoQuerySet methods on fields with NULL values."
# Creating SouthTexasZipcode w/NULL value.
SouthTexasZipcode.objects.create(name='78212')
# Performing distance/area queries against the NULL PolygonField,
# and ensuring the result of the operations is None.
htown = SouthTexasCity.objects.get(name='Downtown Houston')
z = SouthTexasZipcode.objects.distance(htown.point).area().get(name='78212')
self.assertEqual(None, z.distance)
self.assertEqual(None, z.area)
| 19,055 | Python | .py | 311 | 49.839228 | 196 | 0.64866 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,673 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/models.py | from django.contrib.gis.db import models
from django.contrib.gis.tests.utils import mysql, spatialite
# MySQL spatial indices can't handle NULL geometries.
null_flag = not mysql
class Country(models.Model):
name = models.CharField(max_length=30)
mpoly = models.MultiPolygonField() # SRID, by default, is 4326
objects = models.GeoManager()
def __unicode__(self): return self.name
class City(models.Model):
name = models.CharField(max_length=30)
point = models.PointField()
objects = models.GeoManager()
def __unicode__(self): return self.name
# This is an inherited model from City
class PennsylvaniaCity(City):
county = models.CharField(max_length=30)
objects = models.GeoManager() # TODO: This should be implicitly inherited.
class State(models.Model):
name = models.CharField(max_length=30)
poly = models.PolygonField(null=null_flag) # Allowing NULL geometries here.
objects = models.GeoManager()
def __unicode__(self): return self.name
class Track(models.Model):
name = models.CharField(max_length=30)
line = models.LineStringField()
objects = models.GeoManager()
def __unicode__(self): return self.name
if not spatialite:
class Feature(models.Model):
name = models.CharField(max_length=20)
geom = models.GeometryField()
objects = models.GeoManager()
def __unicode__(self): return self.name
class MinusOneSRID(models.Model):
geom = models.PointField(srid=-1) # Minus one SRID.
objects = models.GeoManager()
| 1,546 | Python | .py | 37 | 37.108108 | 79 | 0.720187 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,674 | test_regress.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/test_regress.py | import os, unittest
from django.contrib.gis.tests.utils import no_mysql, no_oracle, no_postgis, no_spatialite
from django.contrib.gis.shortcuts import render_to_kmz
from models import City
class GeoRegressionTests(unittest.TestCase):
def test01_update(self):
"Testing GeoQuerySet.update(), see #10411."
pnt = City.objects.get(name='Pueblo').point
bak = pnt.clone()
pnt.y += 0.005
pnt.x += 0.005
City.objects.filter(name='Pueblo').update(point=pnt)
self.assertEqual(pnt, City.objects.get(name='Pueblo').point)
City.objects.filter(name='Pueblo').update(point=bak)
self.assertEqual(bak, City.objects.get(name='Pueblo').point)
def test02_kmz(self):
"Testing `render_to_kmz` with non-ASCII data, see #11624."
name = '\xc3\x85land Islands'.decode('iso-8859-1')
places = [{'name' : name,
'description' : name,
'kml' : '<Point><coordinates>5.0,23.0</coordinates></Point>'
}]
kmz = render_to_kmz('gis/kml/placemarks.kml', {'places' : places})
@no_spatialite
@no_mysql
def test03_extent(self):
"Testing `extent` on a table with a single point, see #11827."
pnt = City.objects.get(name='Pueblo').point
ref_ext = (pnt.x, pnt.y, pnt.x, pnt.y)
extent = City.objects.filter(name='Pueblo').extent()
for ref_val, val in zip(ref_ext, extent):
self.assertAlmostEqual(ref_val, val, 4)
| 1,500 | Python | .py | 32 | 38.53125 | 89 | 0.630212 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,675 | feeds.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/feeds.py | from django.contrib.gis import feeds
from django.contrib.gis.tests.utils import mysql
from models import City, Country
class TestGeoRSS1(feeds.Feed):
link = '/city/'
title = 'Test GeoDjango Cities'
def items(self):
return City.objects.all()
def item_link(self, item):
return '/city/%s/' % item.pk
def item_geometry(self, item):
return item.point
class TestGeoRSS2(TestGeoRSS1):
def geometry(self, obj):
# This should attach a <georss:box> element for the extent of
# of the cities in the database. This tuple came from
# calling `City.objects.extent()` -- we can't do that call here
# because `extent` is not implemented for MySQL/Oracle.
return (-123.30, -41.32, 174.78, 48.46)
def item_geometry(self, item):
# Returning a simple tuple for the geometry.
return item.point.x, item.point.y
class TestGeoAtom1(TestGeoRSS1):
feed_type = feeds.GeoAtom1Feed
class TestGeoAtom2(TestGeoRSS2):
feed_type = feeds.GeoAtom1Feed
def geometry(self, obj):
# This time we'll use a 2-tuple of coordinates for the box.
return ((-123.30, -41.32), (174.78, 48.46))
class TestW3CGeo1(TestGeoRSS1):
feed_type = feeds.W3CGeoFeed
# The following feeds are invalid, and will raise exceptions.
class TestW3CGeo2(TestGeoRSS2):
feed_type = feeds.W3CGeoFeed
class TestW3CGeo3(TestGeoRSS1):
feed_type = feeds.W3CGeoFeed
def item_geometry(self, item):
from django.contrib.gis.geos import Polygon
return Polygon(((0, 0), (0, 1), (1, 1), (1, 0), (0, 0)))
# The feed dictionary to use for URLs.
feed_dict = {
'rss1' : TestGeoRSS1,
'rss2' : TestGeoRSS2,
'atom1' : TestGeoAtom1,
'atom2' : TestGeoAtom2,
'w3cgeo1' : TestW3CGeo1,
'w3cgeo2' : TestW3CGeo2,
'w3cgeo3' : TestW3CGeo3,
}
| 1,856 | Python | .py | 49 | 32.591837 | 71 | 0.679866 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,676 | test_feeds.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/test_feeds.py | from xml.dom import minidom
from django.test import TestCase
from models import City
class GeoFeedTest(TestCase):
urls = 'django.contrib.gis.tests.geoapp.urls'
def assertChildNodes(self, elem, expected):
"Taken from regressiontests/syndication/tests.py."
actual = set([n.nodeName for n in elem.childNodes])
expected = set(expected)
self.assertEqual(actual, expected)
def test_geofeed_rss(self):
"Tests geographic feeds using GeoRSS over RSSv2."
# Uses `GEOSGeometry` in `item_geometry`
doc1 = minidom.parseString(self.client.get('/feeds/rss1/').content)
# Uses a 2-tuple in `item_geometry`
doc2 = minidom.parseString(self.client.get('/feeds/rss2/').content)
feed1, feed2 = doc1.firstChild, doc2.firstChild
# Making sure the box got added to the second GeoRSS feed.
self.assertChildNodes(feed2.getElementsByTagName('channel')[0],
['title', 'link', 'description', 'language',
'lastBuildDate', 'item', 'georss:box', 'atom:link']
)
# Incrementing through the feeds.
for feed in [feed1, feed2]:
# Ensuring the georss namespace was added to the <rss> element.
self.assertEqual(feed.getAttribute(u'xmlns:georss'), u'http://www.georss.org/georss')
chan = feed.getElementsByTagName('channel')[0]
items = chan.getElementsByTagName('item')
self.assertEqual(len(items), City.objects.count())
# Ensuring the georss element was added to each item in the feed.
for item in items:
self.assertChildNodes(item, ['title', 'link', 'description', 'guid', 'georss:point'])
def test_geofeed_atom(self):
"Testing geographic feeds using GeoRSS over Atom."
doc1 = minidom.parseString(self.client.get('/feeds/atom1/').content)
doc2 = minidom.parseString(self.client.get('/feeds/atom2/').content)
feed1, feed2 = doc1.firstChild, doc2.firstChild
# Making sure the box got added to the second GeoRSS feed.
self.assertChildNodes(feed2, ['title', 'link', 'id', 'updated', 'entry', 'georss:box'])
for feed in [feed1, feed2]:
# Ensuring the georsss namespace was added to the <feed> element.
self.assertEqual(feed.getAttribute(u'xmlns:georss'), u'http://www.georss.org/georss')
entries = feed.getElementsByTagName('entry')
self.assertEqual(len(entries), City.objects.count())
# Ensuring the georss element was added to each entry in the feed.
for entry in entries:
self.assertChildNodes(entry, ['title', 'link', 'id', 'summary', 'georss:point'])
def test_geofeed_w3c(self):
"Testing geographic feeds using W3C Geo."
doc = minidom.parseString(self.client.get('/feeds/w3cgeo1/').content)
feed = doc.firstChild
# Ensuring the geo namespace was added to the <feed> element.
self.assertEqual(feed.getAttribute(u'xmlns:geo'), u'http://www.w3.org/2003/01/geo/wgs84_pos#')
chan = feed.getElementsByTagName('channel')[0]
items = chan.getElementsByTagName('item')
self.assertEqual(len(items), City.objects.count())
# Ensuring the geo:lat and geo:lon element was added to each item in the feed.
for item in items:
self.assertChildNodes(item, ['title', 'link', 'description', 'guid', 'geo:lat', 'geo:lon'])
# Boxes and Polygons aren't allowed in W3C Geo feeds.
self.assertRaises(ValueError, self.client.get, '/feeds/w3cgeo2/') # Box in <channel>
self.assertRaises(ValueError, self.client.get, '/feeds/w3cgeo3/') # Polygons in <entry>
| 3,793 | Python | .py | 62 | 50.451613 | 103 | 0.646187 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,677 | urls.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/urls.py | from django.conf.urls.defaults import *
from feeds import feed_dict
urlpatterns = patterns('',
(r'^feeds/(?P<url>.*)/$', 'django.contrib.syndication.views.feed', {'feed_dict': feed_dict}),
)
from sitemaps import sitemaps
urlpatterns += patterns('django.contrib.gis.sitemaps.views',
(r'^sitemap.xml$', 'index', {'sitemaps' : sitemaps}),
(r'^sitemaps/(?P<section>\w+)\.xml$', 'sitemap', {'sitemaps' : sitemaps}),
(r'^sitemaps/kml/(?P<label>\w+)/(?P<model>\w+)/(?P<field_name>\w+)\.kml$', 'kml'),
(r'^sitemaps/kml/(?P<label>\w+)/(?P<model>\w+)/(?P<field_name>\w+)\.kmz$', 'kmz'),
)
| 617 | Python | .py | 12 | 47.25 | 102 | 0.61194 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,678 | test_sitemaps.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/test_sitemaps.py | import cStringIO
from xml.dom import minidom
import zipfile
from django.test import TestCase
from models import City, Country
class GeoSitemapTest(TestCase):
urls = 'django.contrib.gis.tests.geoapp.urls'
def assertChildNodes(self, elem, expected):
"Taken from regressiontests/syndication/tests.py."
actual = set([n.nodeName for n in elem.childNodes])
expected = set(expected)
self.assertEqual(actual, expected)
def test_geositemap_index(self):
"Tests geographic sitemap index."
# Getting the geo index.
doc = minidom.parseString(self.client.get('/sitemap.xml').content)
index = doc.firstChild
self.assertEqual(index.getAttribute(u'xmlns'), u'http://www.sitemaps.org/schemas/sitemap/0.9')
self.assertEqual(3, len(index.getElementsByTagName('sitemap')))
def test_geositemap_kml(self):
"Tests KML/KMZ geographic sitemaps."
for kml_type in ('kml', 'kmz'):
doc = minidom.parseString(self.client.get('/sitemaps/%s.xml' % kml_type).content)
# Ensuring the right sitemaps namespaces are present.
urlset = doc.firstChild
self.assertEqual(urlset.getAttribute(u'xmlns'), u'http://www.sitemaps.org/schemas/sitemap/0.9')
self.assertEqual(urlset.getAttribute(u'xmlns:geo'), u'http://www.google.com/geo/schemas/sitemap/1.0')
urls = urlset.getElementsByTagName('url')
self.assertEqual(2, len(urls)) # Should only be 2 sitemaps.
for url in urls:
self.assertChildNodes(url, ['loc', 'geo:geo'])
# Making sure the 'geo:format' element was properly set.
geo_elem = url.getElementsByTagName('geo:geo')[0]
geo_format = geo_elem.getElementsByTagName('geo:format')[0]
self.assertEqual(kml_type, geo_format.childNodes[0].data)
# Getting the relative URL since we don't have a real site.
kml_url = url.getElementsByTagName('loc')[0].childNodes[0].data.split('http://example.com')[1]
if kml_type == 'kml':
kml_doc = minidom.parseString(self.client.get(kml_url).content)
elif kml_type == 'kmz':
# Have to decompress KMZ before parsing.
buf = cStringIO.StringIO(self.client.get(kml_url).content)
zf = zipfile.ZipFile(buf)
self.assertEqual(1, len(zf.filelist))
self.assertEqual('doc.kml', zf.filelist[0].filename)
kml_doc = minidom.parseString(zf.read('doc.kml'))
# Ensuring the correct number of placemarks are in the KML doc.
if 'city' in kml_url:
model = City
elif 'country' in kml_url:
model = Country
self.assertEqual(model.objects.count(), len(kml_doc.getElementsByTagName('Placemark')))
def test_geositemap_georss(self):
"Tests GeoRSS geographic sitemaps."
from feeds import feed_dict
doc = minidom.parseString(self.client.get('/sitemaps/georss.xml').content)
# Ensuring the right sitemaps namespaces are present.
urlset = doc.firstChild
self.assertEqual(urlset.getAttribute(u'xmlns'), u'http://www.sitemaps.org/schemas/sitemap/0.9')
self.assertEqual(urlset.getAttribute(u'xmlns:geo'), u'http://www.google.com/geo/schemas/sitemap/1.0')
# Making sure the correct number of feed URLs were included.
urls = urlset.getElementsByTagName('url')
self.assertEqual(len(feed_dict), len(urls))
for url in urls:
self.assertChildNodes(url, ['loc', 'geo:geo'])
# Making sure the 'geo:format' element was properly set to 'georss'.
geo_elem = url.getElementsByTagName('geo:geo')[0]
geo_format = geo_elem.getElementsByTagName('geo:format')[0]
self.assertEqual('georss', geo_format.childNodes[0].data)
| 4,025 | Python | .py | 69 | 46.246377 | 113 | 0.631632 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,679 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/tests.py | import re
from django.db import connection
from django.contrib.gis import gdal
from django.contrib.gis.geos import fromstr, GEOSGeometry, \
Point, LineString, LinearRing, Polygon, GeometryCollection
from django.contrib.gis.measure import Distance
from django.contrib.gis.tests.utils import \
no_mysql, no_oracle, no_spatialite, \
mysql, oracle, postgis, spatialite
from django.test import TestCase
from models import Country, City, PennsylvaniaCity, State, Track
if not spatialite:
from models import Feature, MinusOneSRID
class GeoModelTest(TestCase):
def test01_fixtures(self):
"Testing geographic model initialization from fixtures."
# Ensuring that data was loaded from initial data fixtures.
self.assertEqual(2, Country.objects.count())
self.assertEqual(8, City.objects.count())
self.assertEqual(2, State.objects.count())
def test02_proxy(self):
"Testing Lazy-Geometry support (using the GeometryProxy)."
## Testing on a Point
pnt = Point(0, 0)
nullcity = City(name='NullCity', point=pnt)
nullcity.save()
# Making sure TypeError is thrown when trying to set with an
# incompatible type.
for bad in [5, 2.0, LineString((0, 0), (1, 1))]:
try:
nullcity.point = bad
except TypeError:
pass
else:
self.fail('Should throw a TypeError')
# Now setting with a compatible GEOS Geometry, saving, and ensuring
# the save took, notice no SRID is explicitly set.
new = Point(5, 23)
nullcity.point = new
# Ensuring that the SRID is automatically set to that of the
# field after assignment, but before saving.
self.assertEqual(4326, nullcity.point.srid)
nullcity.save()
# Ensuring the point was saved correctly after saving
self.assertEqual(new, City.objects.get(name='NullCity').point)
# Setting the X and Y of the Point
nullcity.point.x = 23
nullcity.point.y = 5
# Checking assignments pre & post-save.
self.assertNotEqual(Point(23, 5), City.objects.get(name='NullCity').point)
nullcity.save()
self.assertEqual(Point(23, 5), City.objects.get(name='NullCity').point)
nullcity.delete()
## Testing on a Polygon
shell = LinearRing((0, 0), (0, 100), (100, 100), (100, 0), (0, 0))
inner = LinearRing((40, 40), (40, 60), (60, 60), (60, 40), (40, 40))
# Creating a State object using a built Polygon
ply = Polygon(shell, inner)
nullstate = State(name='NullState', poly=ply)
self.assertEqual(4326, nullstate.poly.srid) # SRID auto-set from None
nullstate.save()
ns = State.objects.get(name='NullState')
self.assertEqual(ply, ns.poly)
# Testing the `ogr` and `srs` lazy-geometry properties.
if gdal.HAS_GDAL:
self.assertEqual(True, isinstance(ns.poly.ogr, gdal.OGRGeometry))
self.assertEqual(ns.poly.wkb, ns.poly.ogr.wkb)
self.assertEqual(True, isinstance(ns.poly.srs, gdal.SpatialReference))
self.assertEqual('WGS 84', ns.poly.srs.name)
# Changing the interior ring on the poly attribute.
new_inner = LinearRing((30, 30), (30, 70), (70, 70), (70, 30), (30, 30))
ns.poly[1] = new_inner
ply[1] = new_inner
self.assertEqual(4326, ns.poly.srid)
ns.save()
self.assertEqual(ply, State.objects.get(name='NullState').poly)
ns.delete()
def test03a_kml(self):
"Testing KML output from the database using GeoQuerySet.kml()."
# Only PostGIS supports KML serialization
if not postgis:
self.assertRaises(NotImplementedError, State.objects.all().kml, field_name='poly')
return
# Should throw a TypeError when trying to obtain KML from a
# non-geometry field.
qs = City.objects.all()
self.assertRaises(TypeError, qs.kml, 'name')
# The reference KML depends on the version of PostGIS used
# (the output stopped including altitude in 1.3.3).
if connection.ops.spatial_version >= (1, 3, 3):
ref_kml = '<Point><coordinates>-104.609252,38.255001</coordinates></Point>'
else:
ref_kml = '<Point><coordinates>-104.609252,38.255001,0</coordinates></Point>'
# Ensuring the KML is as expected.
ptown1 = City.objects.kml(field_name='point', precision=9).get(name='Pueblo')
ptown2 = City.objects.kml(precision=9).get(name='Pueblo')
for ptown in [ptown1, ptown2]:
self.assertEqual(ref_kml, ptown.kml)
def test03b_gml(self):
"Testing GML output from the database using GeoQuerySet.gml()."
if mysql or spatialite:
self.assertRaises(NotImplementedError, Country.objects.all().gml, field_name='mpoly')
return
# Should throw a TypeError when tyring to obtain GML from a
# non-geometry field.
qs = City.objects.all()
self.assertRaises(TypeError, qs.gml, field_name='name')
ptown1 = City.objects.gml(field_name='point', precision=9).get(name='Pueblo')
ptown2 = City.objects.gml(precision=9).get(name='Pueblo')
if oracle:
# No precision parameter for Oracle :-/
gml_regex = re.compile(r'^<gml:Point srsName="SDO:4326" xmlns:gml="http://www.opengis.net/gml"><gml:coordinates decimal="\." cs="," ts=" ">-104.60925\d+,38.25500\d+ </gml:coordinates></gml:Point>')
for ptown in [ptown1, ptown2]:
self.failUnless(gml_regex.match(ptown.gml))
else:
gml_regex = re.compile(r'^<gml:Point srsName="EPSG:4326"><gml:coordinates>-104\.60925\d+,38\.255001</gml:coordinates></gml:Point>')
for ptown in [ptown1, ptown2]:
self.failUnless(gml_regex.match(ptown.gml))
def test03c_geojson(self):
"Testing GeoJSON output from the database using GeoQuerySet.geojson()."
# Only PostGIS 1.3.4+ supports GeoJSON.
if not connection.ops.geojson:
self.assertRaises(NotImplementedError, Country.objects.all().geojson, field_name='mpoly')
return
if connection.ops.spatial_version >= (1, 4, 0):
pueblo_json = '{"type":"Point","coordinates":[-104.609252,38.255001]}'
houston_json = '{"type":"Point","crs":{"type":"name","properties":{"name":"EPSG:4326"}},"coordinates":[-95.363151,29.763374]}'
victoria_json = '{"type":"Point","bbox":[-123.30519600,48.46261100,-123.30519600,48.46261100],"coordinates":[-123.305196,48.462611]}'
chicago_json = '{"type":"Point","crs":{"type":"name","properties":{"name":"EPSG:4326"}},"bbox":[-87.65018,41.85039,-87.65018,41.85039],"coordinates":[-87.65018,41.85039]}'
else:
pueblo_json = '{"type":"Point","coordinates":[-104.60925200,38.25500100]}'
houston_json = '{"type":"Point","crs":{"type":"EPSG","properties":{"EPSG":4326}},"coordinates":[-95.36315100,29.76337400]}'
victoria_json = '{"type":"Point","bbox":[-123.30519600,48.46261100,-123.30519600,48.46261100],"coordinates":[-123.30519600,48.46261100]}'
chicago_json = '{"type":"Point","crs":{"type":"EPSG","properties":{"EPSG":4326}},"bbox":[-87.65018,41.85039,-87.65018,41.85039],"coordinates":[-87.65018,41.85039]}'
# Precision argument should only be an integer
self.assertRaises(TypeError, City.objects.geojson, precision='foo')
# Reference queries and values.
# SELECT ST_AsGeoJson("geoapp_city"."point", 8, 0) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Pueblo';
self.assertEqual(pueblo_json, City.objects.geojson().get(name='Pueblo').geojson)
# 1.3.x: SELECT ST_AsGeoJson("geoapp_city"."point", 8, 1) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Houston';
# 1.4.x: SELECT ST_AsGeoJson("geoapp_city"."point", 8, 2) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Houston';
# This time we want to include the CRS by using the `crs` keyword.
self.assertEqual(houston_json, City.objects.geojson(crs=True, model_att='json').get(name='Houston').json)
# 1.3.x: SELECT ST_AsGeoJson("geoapp_city"."point", 8, 2) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Victoria';
# 1.4.x: SELECT ST_AsGeoJson("geoapp_city"."point", 8, 1) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Houston';
# This time we include the bounding box by using the `bbox` keyword.
self.assertEqual(victoria_json, City.objects.geojson(bbox=True).get(name='Victoria').geojson)
# 1.(3|4).x: SELECT ST_AsGeoJson("geoapp_city"."point", 5, 3) FROM "geoapp_city" WHERE "geoapp_city"."name" = 'Chicago';
# Finally, we set every available keyword.
self.assertEqual(chicago_json, City.objects.geojson(bbox=True, crs=True, precision=5).get(name='Chicago').geojson)
def test03d_svg(self):
"Testing SVG output using GeoQuerySet.svg()."
if mysql or oracle:
self.assertRaises(NotImplementedError, City.objects.svg)
return
self.assertRaises(TypeError, City.objects.svg, precision='foo')
# SELECT AsSVG(geoapp_city.point, 0, 8) FROM geoapp_city WHERE name = 'Pueblo';
svg1 = 'cx="-104.609252" cy="-38.255001"'
# Even though relative, only one point so it's practically the same except for
# the 'c' letter prefix on the x,y values.
svg2 = svg1.replace('c', '')
self.assertEqual(svg1, City.objects.svg().get(name='Pueblo').svg)
self.assertEqual(svg2, City.objects.svg(relative=5).get(name='Pueblo').svg)
@no_mysql
def test04_transform(self):
"Testing the transform() GeoManager method."
# Pre-transformed points for Houston and Pueblo.
htown = fromstr('POINT(1947516.83115183 6322297.06040572)', srid=3084)
ptown = fromstr('POINT(992363.390841912 481455.395105533)', srid=2774)
prec = 3 # Precision is low due to version variations in PROJ and GDAL.
# Asserting the result of the transform operation with the values in
# the pre-transformed points. Oracle does not have the 3084 SRID.
if not oracle:
h = City.objects.transform(htown.srid).get(name='Houston')
self.assertEqual(3084, h.point.srid)
self.assertAlmostEqual(htown.x, h.point.x, prec)
self.assertAlmostEqual(htown.y, h.point.y, prec)
p1 = City.objects.transform(ptown.srid, field_name='point').get(name='Pueblo')
p2 = City.objects.transform(srid=ptown.srid).get(name='Pueblo')
for p in [p1, p2]:
self.assertEqual(2774, p.point.srid)
self.assertAlmostEqual(ptown.x, p.point.x, prec)
self.assertAlmostEqual(ptown.y, p.point.y, prec)
@no_mysql
@no_spatialite # SpatiaLite does not have an Extent function
def test05_extent(self):
"Testing the `extent` GeoQuerySet method."
# Reference query:
# `SELECT ST_extent(point) FROM geoapp_city WHERE (name='Houston' or name='Dallas');`
# => BOX(-96.8016128540039 29.7633724212646,-95.3631439208984 32.7820587158203)
expected = (-96.8016128540039, 29.7633724212646, -95.3631439208984, 32.782058715820)
qs = City.objects.filter(name__in=('Houston', 'Dallas'))
extent = qs.extent()
for val, exp in zip(extent, expected):
self.assertAlmostEqual(exp, val, 4)
# Only PostGIS has support for the MakeLine aggregate.
@no_mysql
@no_oracle
@no_spatialite
def test06_make_line(self):
"Testing the `make_line` GeoQuerySet method."
# Ensuring that a `TypeError` is raised on models without PointFields.
self.assertRaises(TypeError, State.objects.make_line)
self.assertRaises(TypeError, Country.objects.make_line)
# Reference query:
# SELECT AsText(ST_MakeLine(geoapp_city.point)) FROM geoapp_city;
ref_line = GEOSGeometry('LINESTRING(-95.363151 29.763374,-96.801611 32.782057,-97.521157 34.464642,174.783117 -41.315268,-104.609252 38.255001,-95.23506 38.971823,-87.650175 41.850385,-123.305196 48.462611)', srid=4326)
self.assertEqual(ref_line, City.objects.make_line())
@no_mysql
def test09_disjoint(self):
"Testing the `disjoint` lookup type."
ptown = City.objects.get(name='Pueblo')
qs1 = City.objects.filter(point__disjoint=ptown.point)
self.assertEqual(7, qs1.count())
qs2 = State.objects.filter(poly__disjoint=ptown.point)
self.assertEqual(1, qs2.count())
self.assertEqual('Kansas', qs2[0].name)
def test10_contains_contained(self):
"Testing the 'contained', 'contains', and 'bbcontains' lookup types."
# Getting Texas, yes we were a country -- once ;)
texas = Country.objects.get(name='Texas')
# Seeing what cities are in Texas, should get Houston and Dallas,
# and Oklahoma City because 'contained' only checks on the
# _bounding box_ of the Geometries.
if not oracle:
qs = City.objects.filter(point__contained=texas.mpoly)
self.assertEqual(3, qs.count())
cities = ['Houston', 'Dallas', 'Oklahoma City']
for c in qs: self.assertEqual(True, c.name in cities)
# Pulling out some cities.
houston = City.objects.get(name='Houston')
wellington = City.objects.get(name='Wellington')
pueblo = City.objects.get(name='Pueblo')
okcity = City.objects.get(name='Oklahoma City')
lawrence = City.objects.get(name='Lawrence')
# Now testing contains on the countries using the points for
# Houston and Wellington.
tx = Country.objects.get(mpoly__contains=houston.point) # Query w/GEOSGeometry
nz = Country.objects.get(mpoly__contains=wellington.point.hex) # Query w/EWKBHEX
self.assertEqual('Texas', tx.name)
self.assertEqual('New Zealand', nz.name)
# Spatialite 2.3 thinks that Lawrence is in Puerto Rico (a NULL geometry).
if not spatialite:
ks = State.objects.get(poly__contains=lawrence.point)
self.assertEqual('Kansas', ks.name)
# Pueblo and Oklahoma City (even though OK City is within the bounding box of Texas)
# are not contained in Texas or New Zealand.
self.assertEqual(0, len(Country.objects.filter(mpoly__contains=pueblo.point))) # Query w/GEOSGeometry object
self.assertEqual((mysql and 1) or 0,
len(Country.objects.filter(mpoly__contains=okcity.point.wkt))) # Qeury w/WKT
# OK City is contained w/in bounding box of Texas.
if not oracle:
qs = Country.objects.filter(mpoly__bbcontains=okcity.point)
self.assertEqual(1, len(qs))
self.assertEqual('Texas', qs[0].name)
@no_mysql
def test11_lookup_insert_transform(self):
"Testing automatic transform for lookups and inserts."
# San Antonio in 'WGS84' (SRID 4326)
sa_4326 = 'POINT (-98.493183 29.424170)'
wgs_pnt = fromstr(sa_4326, srid=4326) # Our reference point in WGS84
# Oracle doesn't have SRID 3084, using 41157.
if oracle:
# San Antonio in 'Texas 4205, Southern Zone (1983, meters)' (SRID 41157)
# Used the following Oracle SQL to get this value:
# SELECT SDO_UTIL.TO_WKTGEOMETRY(SDO_CS.TRANSFORM(SDO_GEOMETRY('POINT (-98.493183 29.424170)', 4326), 41157)) FROM DUAL;
nad_wkt = 'POINT (300662.034646583 5416427.45974934)'
nad_srid = 41157
else:
# San Antonio in 'NAD83(HARN) / Texas Centric Lambert Conformal' (SRID 3084)
nad_wkt = 'POINT (1645978.362408288754523 6276356.025927528738976)' # Used ogr.py in gdal 1.4.1 for this transform
nad_srid = 3084
# Constructing & querying with a point from a different SRID. Oracle
# `SDO_OVERLAPBDYINTERSECT` operates differently from
# `ST_Intersects`, so contains is used instead.
nad_pnt = fromstr(nad_wkt, srid=nad_srid)
if oracle:
tx = Country.objects.get(mpoly__contains=nad_pnt)
else:
tx = Country.objects.get(mpoly__intersects=nad_pnt)
self.assertEqual('Texas', tx.name)
# Creating San Antonio. Remember the Alamo.
sa = City.objects.create(name='San Antonio', point=nad_pnt)
# Now verifying that San Antonio was transformed correctly
sa = City.objects.get(name='San Antonio')
self.assertAlmostEqual(wgs_pnt.x, sa.point.x, 6)
self.assertAlmostEqual(wgs_pnt.y, sa.point.y, 6)
# If the GeometryField SRID is -1, then we shouldn't perform any
# transformation if the SRID of the input geometry is different.
# SpatiaLite does not support missing SRID values.
if not spatialite:
m1 = MinusOneSRID(geom=Point(17, 23, srid=4326))
m1.save()
self.assertEqual(-1, m1.geom.srid)
@no_mysql
def test12_null_geometries(self):
"Testing NULL geometry support, and the `isnull` lookup type."
# Creating a state with a NULL boundary.
State.objects.create(name='Puerto Rico')
# Querying for both NULL and Non-NULL values.
nullqs = State.objects.filter(poly__isnull=True)
validqs = State.objects.filter(poly__isnull=False)
# Puerto Rico should be NULL (it's a commonwealth unincorporated territory)
self.assertEqual(1, len(nullqs))
self.assertEqual('Puerto Rico', nullqs[0].name)
# The valid states should be Colorado & Kansas
self.assertEqual(2, len(validqs))
state_names = [s.name for s in validqs]
self.assertEqual(True, 'Colorado' in state_names)
self.assertEqual(True, 'Kansas' in state_names)
# Saving another commonwealth w/a NULL geometry.
nmi = State.objects.create(name='Northern Mariana Islands', poly=None)
self.assertEqual(nmi.poly, None)
# Assigning a geomery and saving -- then UPDATE back to NULL.
nmi.poly = 'POLYGON((0 0,1 0,1 1,1 0,0 0))'
nmi.save()
State.objects.filter(name='Northern Mariana Islands').update(poly=None)
self.assertEqual(None, State.objects.get(name='Northern Mariana Islands').poly)
# Only PostGIS has `left` and `right` lookup types.
@no_mysql
@no_oracle
@no_spatialite
def test13_left_right(self):
"Testing the 'left' and 'right' lookup types."
# Left: A << B => true if xmax(A) < xmin(B)
# Right: A >> B => true if xmin(A) > xmax(B)
# See: BOX2D_left() and BOX2D_right() in lwgeom_box2dfloat4.c in PostGIS source.
# Getting the borders for Colorado & Kansas
co_border = State.objects.get(name='Colorado').poly
ks_border = State.objects.get(name='Kansas').poly
# Note: Wellington has an 'X' value of 174, so it will not be considered
# to the left of CO.
# These cities should be strictly to the right of the CO border.
cities = ['Houston', 'Dallas', 'Oklahoma City',
'Lawrence', 'Chicago', 'Wellington']
qs = City.objects.filter(point__right=co_border)
self.assertEqual(6, len(qs))
for c in qs: self.assertEqual(True, c.name in cities)
# These cities should be strictly to the right of the KS border.
cities = ['Chicago', 'Wellington']
qs = City.objects.filter(point__right=ks_border)
self.assertEqual(2, len(qs))
for c in qs: self.assertEqual(True, c.name in cities)
# Note: Wellington has an 'X' value of 174, so it will not be considered
# to the left of CO.
vic = City.objects.get(point__left=co_border)
self.assertEqual('Victoria', vic.name)
cities = ['Pueblo', 'Victoria']
qs = City.objects.filter(point__left=ks_border)
self.assertEqual(2, len(qs))
for c in qs: self.assertEqual(True, c.name in cities)
def test14_equals(self):
"Testing the 'same_as' and 'equals' lookup types."
pnt = fromstr('POINT (-95.363151 29.763374)', srid=4326)
c1 = City.objects.get(point=pnt)
c2 = City.objects.get(point__same_as=pnt)
c3 = City.objects.get(point__equals=pnt)
for c in [c1, c2, c3]: self.assertEqual('Houston', c.name)
@no_mysql
def test15_relate(self):
"Testing the 'relate' lookup type."
# To make things more interesting, we will have our Texas reference point in
# different SRIDs.
pnt1 = fromstr('POINT (649287.0363174 4177429.4494686)', srid=2847)
pnt2 = fromstr('POINT(-98.4919715741052 29.4333344025053)', srid=4326)
# Not passing in a geometry as first param shoud
# raise a type error when initializing the GeoQuerySet
self.assertRaises(ValueError, Country.objects.filter, mpoly__relate=(23, 'foo'))
# Making sure the right exception is raised for the given
# bad arguments.
for bad_args, e in [((pnt1, 0), ValueError), ((pnt2, 'T*T***FF*', 0), ValueError)]:
qs = Country.objects.filter(mpoly__relate=bad_args)
self.assertRaises(e, qs.count)
# Relate works differently for the different backends.
if postgis or spatialite:
contains_mask = 'T*T***FF*'
within_mask = 'T*F**F***'
intersects_mask = 'T********'
elif oracle:
contains_mask = 'contains'
within_mask = 'inside'
# TODO: This is not quite the same as the PostGIS mask above
intersects_mask = 'overlapbdyintersect'
# Testing contains relation mask.
self.assertEqual('Texas', Country.objects.get(mpoly__relate=(pnt1, contains_mask)).name)
self.assertEqual('Texas', Country.objects.get(mpoly__relate=(pnt2, contains_mask)).name)
# Testing within relation mask.
ks = State.objects.get(name='Kansas')
self.assertEqual('Lawrence', City.objects.get(point__relate=(ks.poly, within_mask)).name)
# Testing intersection relation mask.
if not oracle:
self.assertEqual('Texas', Country.objects.get(mpoly__relate=(pnt1, intersects_mask)).name)
self.assertEqual('Texas', Country.objects.get(mpoly__relate=(pnt2, intersects_mask)).name)
self.assertEqual('Lawrence', City.objects.get(point__relate=(ks.poly, intersects_mask)).name)
def test16_createnull(self):
"Testing creating a model instance and the geometry being None"
c = City()
self.assertEqual(c.point, None)
@no_mysql
def test17_unionagg(self):
"Testing the `unionagg` (aggregate union) GeoManager method."
tx = Country.objects.get(name='Texas').mpoly
# Houston, Dallas -- Oracle has different order.
union1 = fromstr('MULTIPOINT(-96.801611 32.782057,-95.363151 29.763374)')
union2 = fromstr('MULTIPOINT(-96.801611 32.782057,-95.363151 29.763374)')
qs = City.objects.filter(point__within=tx)
self.assertRaises(TypeError, qs.unionagg, 'name')
# Using `field_name` keyword argument in one query and specifying an
# order in the other (which should not be used because this is
# an aggregate method on a spatial column)
u1 = qs.unionagg(field_name='point')
u2 = qs.order_by('name').unionagg()
tol = 0.00001
if oracle:
union = union2
else:
union = union1
self.assertEqual(True, union.equals_exact(u1, tol))
self.assertEqual(True, union.equals_exact(u2, tol))
qs = City.objects.filter(name='NotACity')
self.assertEqual(None, qs.unionagg(field_name='point'))
@no_spatialite # SpatiaLite does not support abstract geometry columns
def test18_geometryfield(self):
"Testing the general GeometryField."
Feature(name='Point', geom=Point(1, 1)).save()
Feature(name='LineString', geom=LineString((0, 0), (1, 1), (5, 5))).save()
Feature(name='Polygon', geom=Polygon(LinearRing((0, 0), (0, 5), (5, 5), (5, 0), (0, 0)))).save()
Feature(name='GeometryCollection',
geom=GeometryCollection(Point(2, 2), LineString((0, 0), (2, 2)),
Polygon(LinearRing((0, 0), (0, 5), (5, 5), (5, 0), (0, 0))))).save()
f_1 = Feature.objects.get(name='Point')
self.assertEqual(True, isinstance(f_1.geom, Point))
self.assertEqual((1.0, 1.0), f_1.geom.tuple)
f_2 = Feature.objects.get(name='LineString')
self.assertEqual(True, isinstance(f_2.geom, LineString))
self.assertEqual(((0.0, 0.0), (1.0, 1.0), (5.0, 5.0)), f_2.geom.tuple)
f_3 = Feature.objects.get(name='Polygon')
self.assertEqual(True, isinstance(f_3.geom, Polygon))
f_4 = Feature.objects.get(name='GeometryCollection')
self.assertEqual(True, isinstance(f_4.geom, GeometryCollection))
self.assertEqual(f_3.geom, f_4.geom[2])
@no_mysql
def test19_centroid(self):
"Testing the `centroid` GeoQuerySet method."
qs = State.objects.exclude(poly__isnull=True).centroid()
if oracle:
tol = 0.1
elif spatialite:
tol = 0.000001
else:
tol = 0.000000001
for s in qs:
self.assertEqual(True, s.poly.centroid.equals_exact(s.centroid, tol))
@no_mysql
def test20_pointonsurface(self):
"Testing the `point_on_surface` GeoQuerySet method."
# Reference values.
if oracle:
# SELECT SDO_UTIL.TO_WKTGEOMETRY(SDO_GEOM.SDO_POINTONSURFACE(GEOAPP_COUNTRY.MPOLY, 0.05)) FROM GEOAPP_COUNTRY;
ref = {'New Zealand' : fromstr('POINT (174.616364 -36.100861)', srid=4326),
'Texas' : fromstr('POINT (-103.002434 36.500397)', srid=4326),
}
elif postgis or spatialite:
# Using GEOSGeometry to compute the reference point on surface values
# -- since PostGIS also uses GEOS these should be the same.
ref = {'New Zealand' : Country.objects.get(name='New Zealand').mpoly.point_on_surface,
'Texas' : Country.objects.get(name='Texas').mpoly.point_on_surface
}
for c in Country.objects.point_on_surface():
if spatialite:
# XXX This seems to be a WKT-translation-related precision issue?
tol = 0.00001
else:
tol = 0.000000001
self.assertEqual(True, ref[c.name].equals_exact(c.point_on_surface, tol))
@no_mysql
@no_oracle
def test21_scale(self):
"Testing the `scale` GeoQuerySet method."
xfac, yfac = 2, 3
tol = 5 # XXX The low precision tolerance is for SpatiaLite
qs = Country.objects.scale(xfac, yfac, model_att='scaled')
for c in qs:
for p1, p2 in zip(c.mpoly, c.scaled):
for r1, r2 in zip(p1, p2):
for c1, c2 in zip(r1.coords, r2.coords):
self.assertAlmostEqual(c1[0] * xfac, c2[0], tol)
self.assertAlmostEqual(c1[1] * yfac, c2[1], tol)
@no_mysql
@no_oracle
def test22_translate(self):
"Testing the `translate` GeoQuerySet method."
xfac, yfac = 5, -23
qs = Country.objects.translate(xfac, yfac, model_att='translated')
for c in qs:
for p1, p2 in zip(c.mpoly, c.translated):
for r1, r2 in zip(p1, p2):
for c1, c2 in zip(r1.coords, r2.coords):
# XXX The low precision is for SpatiaLite
self.assertAlmostEqual(c1[0] + xfac, c2[0], 5)
self.assertAlmostEqual(c1[1] + yfac, c2[1], 5)
@no_mysql
def test23_numgeom(self):
"Testing the `num_geom` GeoQuerySet method."
# Both 'countries' only have two geometries.
for c in Country.objects.num_geom(): self.assertEqual(2, c.num_geom)
for c in City.objects.filter(point__isnull=False).num_geom():
# Oracle will return 1 for the number of geometries on non-collections,
# whereas PostGIS will return None.
if postgis:
self.assertEqual(None, c.num_geom)
else:
self.assertEqual(1, c.num_geom)
@no_mysql
@no_spatialite # SpatiaLite can only count vertices in LineStrings
def test24_numpoints(self):
"Testing the `num_points` GeoQuerySet method."
for c in Country.objects.num_points():
self.assertEqual(c.mpoly.num_points, c.num_points)
if not oracle:
# Oracle cannot count vertices in Point geometries.
for c in City.objects.num_points(): self.assertEqual(1, c.num_points)
@no_mysql
def test25_geoset(self):
"Testing the `difference`, `intersection`, `sym_difference`, and `union` GeoQuerySet methods."
geom = Point(5, 23)
tol = 1
qs = Country.objects.all().difference(geom).sym_difference(geom).union(geom)
# XXX For some reason SpatiaLite does something screwey with the Texas geometry here. Also,
# XXX it doesn't like the null intersection.
if spatialite:
qs = qs.exclude(name='Texas')
else:
qs = qs.intersection(geom)
for c in qs:
if oracle:
# Should be able to execute the queries; however, they won't be the same
# as GEOS (because Oracle doesn't use GEOS internally like PostGIS or
# SpatiaLite).
pass
else:
self.assertEqual(c.mpoly.difference(geom), c.difference)
if not spatialite:
self.assertEqual(c.mpoly.intersection(geom), c.intersection)
self.assertEqual(c.mpoly.sym_difference(geom), c.sym_difference)
self.assertEqual(c.mpoly.union(geom), c.union)
@no_mysql
def test26_inherited_geofields(self):
"Test GeoQuerySet methods on inherited Geometry fields."
# Creating a Pennsylvanian city.
mansfield = PennsylvaniaCity.objects.create(name='Mansfield', county='Tioga', point='POINT(-77.071445 41.823881)')
# All transformation SQL will need to be performed on the
# _parent_ table.
qs = PennsylvaniaCity.objects.transform(32128)
self.assertEqual(1, qs.count())
for pc in qs: self.assertEqual(32128, pc.point.srid)
@no_mysql
@no_oracle
@no_spatialite
def test27_snap_to_grid(self):
"Testing GeoQuerySet.snap_to_grid()."
# Let's try and break snap_to_grid() with bad combinations of arguments.
for bad_args in ((), range(3), range(5)):
self.assertRaises(ValueError, Country.objects.snap_to_grid, *bad_args)
for bad_args in (('1.0',), (1.0, None), tuple(map(unicode, range(4)))):
self.assertRaises(TypeError, Country.objects.snap_to_grid, *bad_args)
# Boundary for San Marino, courtesy of Bjorn Sandvik of thematicmapping.org
# from the world borders dataset he provides.
wkt = ('MULTIPOLYGON(((12.41580 43.95795,12.45055 43.97972,12.45389 43.98167,'
'12.46250 43.98472,12.47167 43.98694,12.49278 43.98917,'
'12.50555 43.98861,12.51000 43.98694,12.51028 43.98277,'
'12.51167 43.94333,12.51056 43.93916,12.49639 43.92333,'
'12.49500 43.91472,12.48778 43.90583,12.47444 43.89722,'
'12.46472 43.89555,12.45917 43.89611,12.41639 43.90472,'
'12.41222 43.90610,12.40782 43.91366,12.40389 43.92667,'
'12.40500 43.94833,12.40889 43.95499,12.41580 43.95795)))')
sm = Country.objects.create(name='San Marino', mpoly=fromstr(wkt))
# Because floating-point arithmitic isn't exact, we set a tolerance
# to pass into GEOS `equals_exact`.
tol = 0.000000001
# SELECT AsText(ST_SnapToGrid("geoapp_country"."mpoly", 0.1)) FROM "geoapp_country" WHERE "geoapp_country"."name" = 'San Marino';
ref = fromstr('MULTIPOLYGON(((12.4 44,12.5 44,12.5 43.9,12.4 43.9,12.4 44)))')
self.failUnless(ref.equals_exact(Country.objects.snap_to_grid(0.1).get(name='San Marino').snap_to_grid, tol))
# SELECT AsText(ST_SnapToGrid("geoapp_country"."mpoly", 0.05, 0.23)) FROM "geoapp_country" WHERE "geoapp_country"."name" = 'San Marino';
ref = fromstr('MULTIPOLYGON(((12.4 43.93,12.45 43.93,12.5 43.93,12.45 43.93,12.4 43.93)))')
self.failUnless(ref.equals_exact(Country.objects.snap_to_grid(0.05, 0.23).get(name='San Marino').snap_to_grid, tol))
# SELECT AsText(ST_SnapToGrid("geoapp_country"."mpoly", 0.5, 0.17, 0.05, 0.23)) FROM "geoapp_country" WHERE "geoapp_country"."name" = 'San Marino';
ref = fromstr('MULTIPOLYGON(((12.4 43.87,12.45 43.87,12.45 44.1,12.5 44.1,12.5 43.87,12.45 43.87,12.4 43.87)))')
self.failUnless(ref.equals_exact(Country.objects.snap_to_grid(0.05, 0.23, 0.5, 0.17).get(name='San Marino').snap_to_grid, tol))
@no_mysql
@no_spatialite
def test28_reverse(self):
"Testing GeoQuerySet.reverse_geom()."
coords = [ (-95.363151, 29.763374), (-95.448601, 29.713803) ]
Track.objects.create(name='Foo', line=LineString(coords))
t = Track.objects.reverse_geom().get(name='Foo')
coords.reverse()
self.assertEqual(tuple(coords), t.reverse_geom.coords)
if oracle:
self.assertRaises(TypeError, State.objects.reverse_geom)
@no_mysql
@no_oracle
@no_spatialite
def test29_force_rhr(self):
"Testing GeoQuerySet.force_rhr()."
rings = ( ( (0, 0), (5, 0), (0, 5), (0, 0) ),
( (1, 1), (1, 3), (3, 1), (1, 1) ),
)
rhr_rings = ( ( (0, 0), (0, 5), (5, 0), (0, 0) ),
( (1, 1), (3, 1), (1, 3), (1, 1) ),
)
State.objects.create(name='Foo', poly=Polygon(*rings))
s = State.objects.force_rhr().get(name='Foo')
self.assertEqual(rhr_rings, s.force_rhr.coords)
@no_mysql
@no_oracle
@no_spatialite
def test29_force_rhr(self):
"Testing GeoQuerySet.geohash()."
if not connection.ops.geohash: return
# Reference query:
# SELECT ST_GeoHash(point) FROM geoapp_city WHERE name='Houston';
# SELECT ST_GeoHash(point, 5) FROM geoapp_city WHERE name='Houston';
ref_hash = '9vk1mfq8jx0c8e0386z6'
h1 = City.objects.geohash().get(name='Houston')
h2 = City.objects.geohash(precision=5).get(name='Houston')
self.assertEqual(ref_hash, h1.geohash)
self.assertEqual(ref_hash[:5], h2.geohash)
from test_feeds import GeoFeedTest
from test_regress import GeoRegressionTests
from test_sitemaps import GeoSitemapTest
| 35,135 | Python | .py | 631 | 45.717908 | 227 | 0.632182 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,680 | sitemaps.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geoapp/sitemaps.py | from django.contrib.gis.sitemaps import GeoRSSSitemap, KMLSitemap, KMZSitemap
from models import City, Country
from feeds import feed_dict
sitemaps = {'kml' : KMLSitemap([City, Country]),
'kmz' : KMZSitemap([City, Country]),
'georss' : GeoRSSSitemap(feed_dict),
}
| 301 | Python | .py | 7 | 36.714286 | 77 | 0.682594 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,681 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/relatedapp/models.py | from django.contrib.gis.db import models
from django.contrib.localflavor.us.models import USStateField
class Location(models.Model):
point = models.PointField()
objects = models.GeoManager()
def __unicode__(self): return self.point.wkt
class City(models.Model):
name = models.CharField(max_length=50)
state = USStateField()
location = models.ForeignKey(Location)
objects = models.GeoManager()
def __unicode__(self): return self.name
class AugmentedLocation(Location):
extra_text = models.TextField(blank=True)
objects = models.GeoManager()
class DirectoryEntry(models.Model):
listing_text = models.CharField(max_length=50)
location = models.ForeignKey(AugmentedLocation)
objects = models.GeoManager()
class Parcel(models.Model):
name = models.CharField(max_length=30)
city = models.ForeignKey(City)
center1 = models.PointField()
# Throwing a curveball w/`db_column` here.
center2 = models.PointField(srid=2276, db_column='mycenter')
border1 = models.PolygonField()
border2 = models.PolygonField(srid=2276)
objects = models.GeoManager()
def __unicode__(self): return self.name
# These use the GeoManager but do not have any geographic fields.
class Author(models.Model):
name = models.CharField(max_length=100)
objects = models.GeoManager()
class Article(models.Model):
title = models.CharField(max_length=100)
author = models.ForeignKey(Author, unique=True)
objects = models.GeoManager()
class Book(models.Model):
title = models.CharField(max_length=100)
author = models.ForeignKey(Author, related_name='books', null=True)
objects = models.GeoManager()
| 1,686 | Python | .py | 41 | 36.878049 | 71 | 0.742192 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,682 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/relatedapp/tests.py | from django.test import TestCase
from django.contrib.gis.geos import GEOSGeometry, Point, MultiPoint
from django.contrib.gis.db.models import Collect, Count, Extent, F, Union
from django.contrib.gis.geometry.backend import Geometry
from django.contrib.gis.tests.utils import mysql, oracle, no_mysql, no_oracle, no_spatialite
from models import City, Location, DirectoryEntry, Parcel, Book, Author, Article
class RelatedGeoModelTest(TestCase):
def test02_select_related(self):
"Testing `select_related` on geographic models (see #7126)."
qs1 = City.objects.all()
qs2 = City.objects.select_related()
qs3 = City.objects.select_related('location')
# Reference data for what's in the fixtures.
cities = (
('Aurora', 'TX', -97.516111, 33.058333),
('Roswell', 'NM', -104.528056, 33.387222),
('Kecksburg', 'PA', -79.460734, 40.18476),
)
for qs in (qs1, qs2, qs3):
for ref, c in zip(cities, qs):
nm, st, lon, lat = ref
self.assertEqual(nm, c.name)
self.assertEqual(st, c.state)
self.assertEqual(Point(lon, lat), c.location.point)
@no_mysql
def test03_transform_related(self):
"Testing the `transform` GeoQuerySet method on related geographic models."
# All the transformations are to state plane coordinate systems using
# US Survey Feet (thus a tolerance of 0 implies error w/in 1 survey foot).
tol = 0
def check_pnt(ref, pnt):
self.assertAlmostEqual(ref.x, pnt.x, tol)
self.assertAlmostEqual(ref.y, pnt.y, tol)
self.assertEqual(ref.srid, pnt.srid)
# Each city transformed to the SRID of their state plane coordinate system.
transformed = (('Kecksburg', 2272, 'POINT(1490553.98959621 314792.131023984)'),
('Roswell', 2257, 'POINT(481902.189077221 868477.766629735)'),
('Aurora', 2276, 'POINT(2269923.2484839 7069381.28722222)'),
)
for name, srid, wkt in transformed:
# Doing this implicitly sets `select_related` select the location.
# TODO: Fix why this breaks on Oracle.
qs = list(City.objects.filter(name=name).transform(srid, field_name='location__point'))
check_pnt(GEOSGeometry(wkt, srid), qs[0].location.point)
@no_mysql
@no_spatialite
def test04a_related_extent_aggregate(self):
"Testing the `extent` GeoQuerySet aggregates on related geographic models."
# This combines the Extent and Union aggregates into one query
aggs = City.objects.aggregate(Extent('location__point'))
# One for all locations, one that excludes New Mexico (Roswell).
all_extent = (-104.528056, 29.763374, -79.460734, 40.18476)
txpa_extent = (-97.516111, 29.763374, -79.460734, 40.18476)
e1 = City.objects.extent(field_name='location__point')
e2 = City.objects.exclude(state='NM').extent(field_name='location__point')
e3 = aggs['location__point__extent']
# The tolerance value is to four decimal places because of differences
# between the Oracle and PostGIS spatial backends on the extent calculation.
tol = 4
for ref, e in [(all_extent, e1), (txpa_extent, e2), (all_extent, e3)]:
for ref_val, e_val in zip(ref, e): self.assertAlmostEqual(ref_val, e_val, tol)
@no_mysql
def test04b_related_union_aggregate(self):
"Testing the `unionagg` GeoQuerySet aggregates on related geographic models."
# This combines the Extent and Union aggregates into one query
aggs = City.objects.aggregate(Union('location__point'))
# These are the points that are components of the aggregate geographic
# union that is returned. Each point # corresponds to City PK.
p1 = Point(-104.528056, 33.387222)
p2 = Point(-97.516111, 33.058333)
p3 = Point(-79.460734, 40.18476)
p4 = Point(-96.801611, 32.782057)
p5 = Point(-95.363151, 29.763374)
# Creating the reference union geometry depending on the spatial backend,
# as Oracle will have a different internal ordering of the component
# geometries than PostGIS. The second union aggregate is for a union
# query that includes limiting information in the WHERE clause (in other
# words a `.filter()` precedes the call to `.unionagg()`).
if oracle:
ref_u1 = MultiPoint(p4, p5, p3, p1, p2, srid=4326)
ref_u2 = MultiPoint(p3, p2, srid=4326)
else:
# Looks like PostGIS points by longitude value.
ref_u1 = MultiPoint(p1, p2, p4, p5, p3, srid=4326)
ref_u2 = MultiPoint(p2, p3, srid=4326)
u1 = City.objects.unionagg(field_name='location__point')
u2 = City.objects.exclude(name__in=('Roswell', 'Houston', 'Dallas', 'Fort Worth')).unionagg(field_name='location__point')
u3 = aggs['location__point__union']
self.assertEqual(ref_u1, u1)
self.assertEqual(ref_u2, u2)
self.assertEqual(ref_u1, u3)
def test05_select_related_fk_to_subclass(self):
"Testing that calling select_related on a query over a model with an FK to a model subclass works"
# Regression test for #9752.
l = list(DirectoryEntry.objects.all().select_related())
def test06_f_expressions(self):
"Testing F() expressions on GeometryFields."
# Constructing a dummy parcel border and getting the City instance for
# assigning the FK.
b1 = GEOSGeometry('POLYGON((-97.501205 33.052520,-97.501205 33.052576,-97.501150 33.052576,-97.501150 33.052520,-97.501205 33.052520))', srid=4326)
pcity = City.objects.get(name='Aurora')
# First parcel has incorrect center point that is equal to the City;
# it also has a second border that is different from the first as a
# 100ft buffer around the City.
c1 = pcity.location.point
c2 = c1.transform(2276, clone=True)
b2 = c2.buffer(100)
p1 = Parcel.objects.create(name='P1', city=pcity, center1=c1, center2=c2, border1=b1, border2=b2)
# Now creating a second Parcel where the borders are the same, just
# in different coordinate systems. The center points are also the
# the same (but in different coordinate systems), and this time they
# actually correspond to the centroid of the border.
c1 = b1.centroid
c2 = c1.transform(2276, clone=True)
p2 = Parcel.objects.create(name='P2', city=pcity, center1=c1, center2=c2, border1=b1, border2=b1)
# Should return the second Parcel, which has the center within the
# border.
qs = Parcel.objects.filter(center1__within=F('border1'))
self.assertEqual(1, len(qs))
self.assertEqual('P2', qs[0].name)
if not mysql:
# This time center2 is in a different coordinate system and needs
# to be wrapped in transformation SQL.
qs = Parcel.objects.filter(center2__within=F('border1'))
self.assertEqual(1, len(qs))
self.assertEqual('P2', qs[0].name)
# Should return the first Parcel, which has the center point equal
# to the point in the City ForeignKey.
qs = Parcel.objects.filter(center1=F('city__location__point'))
self.assertEqual(1, len(qs))
self.assertEqual('P1', qs[0].name)
if not mysql:
# This time the city column should be wrapped in transformation SQL.
qs = Parcel.objects.filter(border2__contains=F('city__location__point'))
self.assertEqual(1, len(qs))
self.assertEqual('P1', qs[0].name)
def test07_values(self):
"Testing values() and values_list() and GeoQuerySets."
# GeoQuerySet and GeoValuesQuerySet, and GeoValuesListQuerySet respectively.
gqs = Location.objects.all()
gvqs = Location.objects.values()
gvlqs = Location.objects.values_list()
# Incrementing through each of the models, dictionaries, and tuples
# returned by the different types of GeoQuerySets.
for m, d, t in zip(gqs, gvqs, gvlqs):
# The values should be Geometry objects and not raw strings returned
# by the spatial database.
self.failUnless(isinstance(d['point'], Geometry))
self.failUnless(isinstance(t[1], Geometry))
self.assertEqual(m.point, d['point'])
self.assertEqual(m.point, t[1])
def test08_defer_only(self):
"Testing defer() and only() on Geographic models."
qs = Location.objects.all()
def_qs = Location.objects.defer('point')
for loc, def_loc in zip(qs, def_qs):
self.assertEqual(loc.point, def_loc.point)
def test09_pk_relations(self):
"Ensuring correct primary key column is selected across relations. See #10757."
# The expected ID values -- notice the last two location IDs
# are out of order. Dallas and Houston have location IDs that differ
# from their PKs -- this is done to ensure that the related location
# ID column is selected instead of ID column for the city.
city_ids = (1, 2, 3, 4, 5)
loc_ids = (1, 2, 3, 5, 4)
ids_qs = City.objects.order_by('id').values('id', 'location__id')
for val_dict, c_id, l_id in zip(ids_qs, city_ids, loc_ids):
self.assertEqual(val_dict['id'], c_id)
self.assertEqual(val_dict['location__id'], l_id)
def test10_combine(self):
"Testing the combination of two GeoQuerySets. See #10807."
buf1 = City.objects.get(name='Aurora').location.point.buffer(0.1)
buf2 = City.objects.get(name='Kecksburg').location.point.buffer(0.1)
qs1 = City.objects.filter(location__point__within=buf1)
qs2 = City.objects.filter(location__point__within=buf2)
combined = qs1 | qs2
names = [c.name for c in combined]
self.assertEqual(2, len(names))
self.failUnless('Aurora' in names)
self.failUnless('Kecksburg' in names)
def test11_geoquery_pickle(self):
"Ensuring GeoQuery objects are unpickled correctly. See #10839."
import pickle
from django.contrib.gis.db.models.sql import GeoQuery
qs = City.objects.all()
q_str = pickle.dumps(qs.query)
q = pickle.loads(q_str)
self.assertEqual(GeoQuery, q.__class__)
# TODO: fix on Oracle -- get the following error because the SQL is ordered
# by a geometry object, which Oracle apparently doesn't like:
# ORA-22901: cannot compare nested table or VARRAY or LOB attributes of an object type
@no_oracle
def test12a_count(self):
"Testing `Count` aggregate use with the `GeoManager` on geo-fields."
# The City, 'Fort Worth' uses the same location as Dallas.
dallas = City.objects.get(name='Dallas')
# Count annotation should be 2 for the Dallas location now.
loc = Location.objects.annotate(num_cities=Count('city')).get(id=dallas.location.id)
self.assertEqual(2, loc.num_cities)
def test12b_count(self):
"Testing `Count` aggregate use with the `GeoManager` on non geo-fields. See #11087."
# Should only be one author (Trevor Paglen) returned by this query, and
# the annotation should have 3 for the number of books, see #11087.
# Also testing with a `GeoValuesQuerySet`, see #11489.
qs = Author.objects.annotate(num_books=Count('books')).filter(num_books__gt=1)
vqs = Author.objects.values('name').annotate(num_books=Count('books')).filter(num_books__gt=1)
self.assertEqual(1, len(qs))
self.assertEqual(3, qs[0].num_books)
self.assertEqual(1, len(vqs))
self.assertEqual(3, vqs[0]['num_books'])
# TODO: The phantom model does appear on Oracle.
@no_oracle
def test13_select_related_null_fk(self):
"Testing `select_related` on a nullable ForeignKey via `GeoManager`. See #11381."
no_author = Book.objects.create(title='Without Author')
b = Book.objects.select_related('author').get(title='Without Author')
# Should be `None`, and not a 'dummy' model.
self.assertEqual(None, b.author)
@no_mysql
@no_oracle
@no_spatialite
def test14_collect(self):
"Testing the `collect` GeoQuerySet method and `Collect` aggregate."
# Reference query:
# SELECT AsText(ST_Collect("relatedapp_location"."point")) FROM "relatedapp_city" LEFT OUTER JOIN
# "relatedapp_location" ON ("relatedapp_city"."location_id" = "relatedapp_location"."id")
# WHERE "relatedapp_city"."state" = 'TX';
ref_geom = GEOSGeometry('MULTIPOINT(-97.516111 33.058333,-96.801611 32.782057,-95.363151 29.763374,-96.801611 32.782057)')
c1 = City.objects.filter(state='TX').collect(field_name='location__point')
c2 = City.objects.filter(state='TX').aggregate(Collect('location__point'))['location__point__collect']
for coll in (c1, c2):
# Even though Dallas and Ft. Worth share same point, Collect doesn't
# consolidate -- that's why 4 points in MultiPoint.
self.assertEqual(4, len(coll))
self.assertEqual(ref_geom, coll)
def test15_invalid_select_related(self):
"Testing doing select_related on the related name manager of a unique FK. See #13934."
qs = Article.objects.select_related('author__article')
# This triggers TypeError when `get_default_columns` has no `local_only`
# keyword. The TypeError is swallowed if QuerySet is actually
# evaluated as list generation swallows TypeError in CPython.
sql = str(qs.query)
# TODO: Related tests for KML, GML, and distance lookups.
| 13,948 | Python | .py | 243 | 47.995885 | 155 | 0.652005 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,683 | models.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geo3d/models.py | from django.contrib.gis.db import models
class City3D(models.Model):
name = models.CharField(max_length=30)
point = models.PointField(dim=3)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class Interstate2D(models.Model):
name = models.CharField(max_length=30)
line = models.LineStringField(srid=4269)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class Interstate3D(models.Model):
name = models.CharField(max_length=30)
line = models.LineStringField(dim=3, srid=4269)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class InterstateProj2D(models.Model):
name = models.CharField(max_length=30)
line = models.LineStringField(srid=32140)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class InterstateProj3D(models.Model):
name = models.CharField(max_length=30)
line = models.LineStringField(dim=3, srid=32140)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class Polygon2D(models.Model):
name = models.CharField(max_length=30)
poly = models.PolygonField(srid=32140)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class Polygon3D(models.Model):
name = models.CharField(max_length=30)
poly = models.PolygonField(dim=3, srid=32140)
objects = models.GeoManager()
def __unicode__(self):
return self.name
class Point2D(models.Model):
point = models.PointField()
objects = models.GeoManager()
class Point3D(models.Model):
point = models.PointField(dim=3)
objects = models.GeoManager()
class MultiPoint3D(models.Model):
mpoint = models.MultiPointField(dim=3)
objects = models.GeoManager()
| 1,835 | Python | .py | 52 | 30.115385 | 52 | 0.70876 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,684 | tests.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/tests/geo3d/tests.py | import os
import re
from django.utils.unittest import TestCase
from django.contrib.gis.db.models import Union, Extent3D
from django.contrib.gis.geos import GEOSGeometry, Point, Polygon
from django.contrib.gis.utils import LayerMapping, LayerMapError
from models import City3D, Interstate2D, Interstate3D, \
InterstateProj2D, InterstateProj3D, \
Point2D, Point3D, MultiPoint3D, Polygon2D, Polygon3D
data_path = os.path.realpath(os.path.join(os.path.dirname(__file__), '..', 'data'))
city_file = os.path.join(data_path, 'cities', 'cities.shp')
vrt_file = os.path.join(data_path, 'test_vrt', 'test_vrt.vrt')
# The coordinates of each city, with Z values corresponding to their
# altitude in meters.
city_data = (
('Houston', (-95.363151, 29.763374, 18)),
('Dallas', (-96.801611, 32.782057, 147)),
('Oklahoma City', (-97.521157, 34.464642, 380)),
('Wellington', (174.783117, -41.315268, 14)),
('Pueblo', (-104.609252, 38.255001, 1433)),
('Lawrence', (-95.235060, 38.971823, 251)),
('Chicago', (-87.650175, 41.850385, 181)),
('Victoria', (-123.305196, 48.462611, 15)),
)
# Reference mapping of city name to its altitude (Z value).
city_dict = dict((name, coords) for name, coords in city_data)
# 3D freeway data derived from the National Elevation Dataset:
# http://seamless.usgs.gov/products/9arc.php
interstate_data = (
('I-45',
'LINESTRING(-95.3708481 29.7765870 11.339,-95.3694580 29.7787980 4.536,-95.3690305 29.7797359 9.762,-95.3691886 29.7812450 12.448,-95.3696447 29.7850144 10.457,-95.3702511 29.7868518 9.418,-95.3706724 29.7881286 14.858,-95.3711632 29.7896157 15.386,-95.3714525 29.7936267 13.168,-95.3717848 29.7955007 15.104,-95.3717719 29.7969804 16.516,-95.3717305 29.7982117 13.923,-95.3717254 29.8000778 14.385,-95.3719875 29.8013539 15.160,-95.3720575 29.8026785 15.544,-95.3721321 29.8040912 14.975,-95.3722074 29.8050998 15.688,-95.3722779 29.8060430 16.099,-95.3733818 29.8076750 15.197,-95.3741563 29.8103686 17.268,-95.3749458 29.8129927 19.857,-95.3763564 29.8144557 15.435)',
( 11.339, 4.536, 9.762, 12.448, 10.457, 9.418, 14.858,
15.386, 13.168, 15.104, 16.516, 13.923, 14.385, 15.16 ,
15.544, 14.975, 15.688, 16.099, 15.197, 17.268, 19.857,
15.435),
),
)
# Bounding box polygon for inner-loop of Houston (in projected coordinate
# system 32140), with elevation values from the National Elevation Dataset
# (see above).
bbox_wkt = 'POLYGON((941527.97 4225693.20,962596.48 4226349.75,963152.57 4209023.95,942051.75 4208366.38,941527.97 4225693.20))'
bbox_z = (21.71, 13.21, 9.12, 16.40, 21.71)
def gen_bbox():
bbox_2d = GEOSGeometry(bbox_wkt, srid=32140)
bbox_3d = Polygon(tuple((x, y, z) for (x, y), z in zip(bbox_2d[0].coords, bbox_z)), srid=32140)
return bbox_2d, bbox_3d
class Geo3DTest(TestCase):
"""
Only a subset of the PostGIS routines are 3D-enabled, and this TestCase
tries to test the features that can handle 3D and that are also
available within GeoDjango. For more information, see the PostGIS docs
on the routines that support 3D:
http://postgis.refractions.net/documentation/manual-1.4/ch08.html#PostGIS_3D_Functions
"""
def test01_3d(self):
"Test the creation of 3D models."
# 3D models for the rest of the tests will be populated in here.
# For each 3D data set create model (and 2D version if necessary),
# retrieve, and assert geometry is in 3D and contains the expected
# 3D values.
for name, pnt_data in city_data:
x, y, z = pnt_data
pnt = Point(x, y, z, srid=4326)
City3D.objects.create(name=name, point=pnt)
city = City3D.objects.get(name=name)
self.failUnless(city.point.hasz)
self.assertEqual(z, city.point.z)
# Interstate (2D / 3D and Geographic/Projected variants)
for name, line, exp_z in interstate_data:
line_3d = GEOSGeometry(line, srid=4269)
# Using `hex` attribute because it omits 3D.
line_2d = GEOSGeometry(line_3d.hex, srid=4269)
# Creating a geographic and projected version of the
# interstate in both 2D and 3D.
Interstate3D.objects.create(name=name, line=line_3d)
InterstateProj3D.objects.create(name=name, line=line_3d)
Interstate2D.objects.create(name=name, line=line_2d)
InterstateProj2D.objects.create(name=name, line=line_2d)
# Retrieving and making sure it's 3D and has expected
# Z values -- shouldn't change because of coordinate system.
interstate = Interstate3D.objects.get(name=name)
interstate_proj = InterstateProj3D.objects.get(name=name)
for i in [interstate, interstate_proj]:
self.failUnless(i.line.hasz)
self.assertEqual(exp_z, tuple(i.line.z))
# Creating 3D Polygon.
bbox2d, bbox3d = gen_bbox()
Polygon2D.objects.create(name='2D BBox', poly=bbox2d)
Polygon3D.objects.create(name='3D BBox', poly=bbox3d)
p3d = Polygon3D.objects.get(name='3D BBox')
self.failUnless(p3d.poly.hasz)
self.assertEqual(bbox3d, p3d.poly)
def test01a_3d_layermapping(self):
"Testing LayerMapping on 3D models."
from models import Point2D, Point3D
point_mapping = {'point' : 'POINT'}
mpoint_mapping = {'mpoint' : 'MULTIPOINT'}
# The VRT is 3D, but should still be able to map sans the Z.
lm = LayerMapping(Point2D, vrt_file, point_mapping, transform=False)
lm.save()
self.assertEqual(3, Point2D.objects.count())
# The city shapefile is 2D, and won't be able to fill the coordinates
# in the 3D model -- thus, a LayerMapError is raised.
self.assertRaises(LayerMapError, LayerMapping,
Point3D, city_file, point_mapping, transform=False)
# 3D model should take 3D data just fine.
lm = LayerMapping(Point3D, vrt_file, point_mapping, transform=False)
lm.save()
self.assertEqual(3, Point3D.objects.count())
# Making sure LayerMapping.make_multi works right, by converting
# a Point25D into a MultiPoint25D.
lm = LayerMapping(MultiPoint3D, vrt_file, mpoint_mapping, transform=False)
lm.save()
self.assertEqual(3, MultiPoint3D.objects.count())
def test02a_kml(self):
"Test GeoQuerySet.kml() with Z values."
h = City3D.objects.kml(precision=6).get(name='Houston')
# KML should be 3D.
# `SELECT ST_AsKML(point, 6) FROM geo3d_city3d WHERE name = 'Houston';`
ref_kml_regex = re.compile(r'^<Point><coordinates>-95.363\d+,29.763\d+,18</coordinates></Point>$')
self.failUnless(ref_kml_regex.match(h.kml))
def test02b_geojson(self):
"Test GeoQuerySet.geojson() with Z values."
h = City3D.objects.geojson(precision=6).get(name='Houston')
# GeoJSON should be 3D
# `SELECT ST_AsGeoJSON(point, 6) FROM geo3d_city3d WHERE name='Houston';`
ref_json_regex = re.compile(r'^{"type":"Point","coordinates":\[-95.363151,29.763374,18(\.0+)?\]}$')
self.failUnless(ref_json_regex.match(h.geojson))
def test03a_union(self):
"Testing the Union aggregate of 3D models."
# PostGIS query that returned the reference EWKT for this test:
# `SELECT ST_AsText(ST_Union(point)) FROM geo3d_city3d;`
ref_ewkt = 'SRID=4326;MULTIPOINT(-123.305196 48.462611 15,-104.609252 38.255001 1433,-97.521157 34.464642 380,-96.801611 32.782057 147,-95.363151 29.763374 18,-95.23506 38.971823 251,-87.650175 41.850385 181,174.783117 -41.315268 14)'
ref_union = GEOSGeometry(ref_ewkt)
union = City3D.objects.aggregate(Union('point'))['point__union']
self.failUnless(union.hasz)
self.assertEqual(ref_union, union)
def test03b_extent(self):
"Testing the Extent3D aggregate for 3D models."
# `SELECT ST_Extent3D(point) FROM geo3d_city3d;`
ref_extent3d = (-123.305196, -41.315268, 14,174.783117, 48.462611, 1433)
extent1 = City3D.objects.aggregate(Extent3D('point'))['point__extent3d']
extent2 = City3D.objects.extent3d()
def check_extent3d(extent3d, tol=6):
for ref_val, ext_val in zip(ref_extent3d, extent3d):
self.assertAlmostEqual(ref_val, ext_val, tol)
for e3d in [extent1, extent2]:
check_extent3d(e3d)
def test04_perimeter(self):
"Testing GeoQuerySet.perimeter() on 3D fields."
# Reference query for values below:
# `SELECT ST_Perimeter3D(poly), ST_Perimeter2D(poly) FROM geo3d_polygon3d;`
ref_perim_3d = 76859.2620451
ref_perim_2d = 76859.2577803
tol = 6
self.assertAlmostEqual(ref_perim_2d,
Polygon2D.objects.perimeter().get(name='2D BBox').perimeter.m,
tol)
self.assertAlmostEqual(ref_perim_3d,
Polygon3D.objects.perimeter().get(name='3D BBox').perimeter.m,
tol)
def test05_length(self):
"Testing GeoQuerySet.length() on 3D fields."
# ST_Length_Spheroid Z-aware, and thus does not need to use
# a separate function internally.
# `SELECT ST_Length_Spheroid(line, 'SPHEROID["GRS 1980",6378137,298.257222101]')
# FROM geo3d_interstate[2d|3d];`
tol = 3
ref_length_2d = 4368.1721949481
ref_length_3d = 4368.62547052088
self.assertAlmostEqual(ref_length_2d,
Interstate2D.objects.length().get(name='I-45').length.m,
tol)
self.assertAlmostEqual(ref_length_3d,
Interstate3D.objects.length().get(name='I-45').length.m,
tol)
# Making sure `ST_Length3D` is used on for a projected
# and 3D model rather than `ST_Length`.
# `SELECT ST_Length(line) FROM geo3d_interstateproj2d;`
ref_length_2d = 4367.71564892392
# `SELECT ST_Length3D(line) FROM geo3d_interstateproj3d;`
ref_length_3d = 4368.16897234101
self.assertAlmostEqual(ref_length_2d,
InterstateProj2D.objects.length().get(name='I-45').length.m,
tol)
self.assertAlmostEqual(ref_length_3d,
InterstateProj3D.objects.length().get(name='I-45').length.m,
tol)
def test06_scale(self):
"Testing GeoQuerySet.scale() on Z values."
# Mapping of City name to reference Z values.
zscales = (-3, 4, 23)
for zscale in zscales:
for city in City3D.objects.scale(1.0, 1.0, zscale):
self.assertEqual(city_dict[city.name][2] * zscale, city.scale.z)
def test07_translate(self):
"Testing GeoQuerySet.translate() on Z values."
ztranslations = (5.23, 23, -17)
for ztrans in ztranslations:
for city in City3D.objects.translate(0, 0, ztrans):
self.assertEqual(city_dict[city.name][2] + ztrans, city.translate.z)
| 11,305 | Python | .py | 201 | 46.562189 | 676 | 0.644149 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,685 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/management/base.py | from django.core.management.base import BaseCommand, CommandError
class ArgsCommand(BaseCommand):
"""
Command class for commands that take multiple arguments.
"""
args = '<arg arg ...>'
def handle(self, *args, **options):
if not args:
raise CommandError('Must provide the following arguments: %s' % self.args)
return self.handle_args(*args, **options)
def handle_args(self, *args, **options):
raise NotImplementedError()
| 484 | Python | .py | 12 | 34.083333 | 86 | 0.673774 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,686 | ogrinspect.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/management/commands/ogrinspect.py | import os, sys
from optparse import make_option
from django.contrib.gis import gdal
from django.contrib.gis.management.base import ArgsCommand, CommandError
def layer_option(option, opt, value, parser):
"""
Callback for `make_option` for the `ogrinspect` `layer_key`
keyword option which may be an integer or a string.
"""
try:
dest = int(value)
except ValueError:
dest = value
setattr(parser.values, option.dest, dest)
def list_option(option, opt, value, parser):
"""
Callback for `make_option` for `ogrinspect` keywords that require
a string list. If the string is 'True'/'true' then the option
value will be a boolean instead.
"""
if value.lower() == 'true':
dest = True
else:
dest = [s for s in value.split(',')]
setattr(parser.values, option.dest, dest)
class Command(ArgsCommand):
help = ('Inspects the given OGR-compatible data source (e.g., a shapefile) and outputs\n'
'a GeoDjango model with the given model name. For example:\n'
' ./manage.py ogrinspect zipcode.shp Zipcode')
args = '[data_source] [model_name]'
option_list = ArgsCommand.option_list + (
make_option('--blank', dest='blank', type='string', action='callback',
callback=list_option, default=False,
help='Use a comma separated list of OGR field names to add '
'the `blank=True` option to the field definition. Set with'
'`true` to apply to all applicable fields.'),
make_option('--decimal', dest='decimal', type='string', action='callback',
callback=list_option, default=False,
help='Use a comma separated list of OGR float fields to '
'generate `DecimalField` instead of the default '
'`FloatField`. Set to `true` to apply to all OGR float fields.'),
make_option('--geom-name', dest='geom_name', type='string', default='geom',
help='Specifies the model name for the Geometry Field '
'(defaults to `geom`)'),
make_option('--layer', dest='layer_key', type='string', action='callback',
callback=layer_option, default=0,
help='The key for specifying which layer in the OGR data '
'source to use. Defaults to 0 (the first layer). May be '
'an integer or a string identifier for the layer.'),
make_option('--multi-geom', action='store_true', dest='multi_geom', default=False,
help='Treat the geometry in the data source as a geometry collection.'),
make_option('--name-field', dest='name_field',
help='Specifies a field name to return for the `__unicode__` function.'),
make_option('--no-imports', action='store_false', dest='imports', default=True,
help='Do not include `from django.contrib.gis.db import models` '
'statement.'),
make_option('--null', dest='null', type='string', action='callback',
callback=list_option, default=False,
help='Use a comma separated list of OGR field names to add '
'the `null=True` option to the field definition. Set with'
'`true` to apply to all applicable fields.'),
make_option('--srid', dest='srid',
help='The SRID to use for the Geometry Field. If it can be '
'determined, the SRID of the data source is used.'),
make_option('--mapping', action='store_true', dest='mapping',
help='Generate mapping dictionary for use with `LayerMapping`.')
)
requires_model_validation = False
def handle_args(self, *args, **options):
try:
data_source, model_name = args
except ValueError:
raise CommandError('Invalid arguments, must provide: %s' % self.args)
if not gdal.HAS_GDAL:
raise CommandError('GDAL is required to inspect geospatial data sources.')
# TODO: Support non file-based OGR datasources.
if not os.path.isfile(data_source):
raise CommandError('The given data source cannot be found: "%s"' % data_source)
# Removing options with `None` values.
options = dict([(k, v) for k, v in options.items() if not v is None])
# Getting the OGR DataSource from the string parameter.
try:
ds = gdal.DataSource(data_source)
except gdal.OGRException, msg:
raise CommandError(msg)
# Whether the user wants to generate the LayerMapping dictionary as well.
show_mapping = options.pop('mapping', False)
# Popping the verbosity global option, as it's not accepted by `_ogrinspect`.
verbosity = options.pop('verbosity', False)
# Returning the output of ogrinspect with the given arguments
# and options.
from django.contrib.gis.utils.ogrinspect import _ogrinspect, mapping
output = [s for s in _ogrinspect(ds, model_name, **options)]
if show_mapping:
# Constructing the keyword arguments for `mapping`, and
# calling it on the data source.
kwargs = {'geom_name' : options['geom_name'],
'layer_key' : options['layer_key'],
'multi_geom' : options['multi_geom'],
}
mapping_dict = mapping(ds, **kwargs)
# This extra legwork is so that the dictionary definition comes
# out in the same order as the fields in the model definition.
rev_mapping = dict([(v, k) for k, v in mapping_dict.items()])
output.extend(['', '# Auto-generated `LayerMapping` dictionary for %s model' % model_name,
'%s_mapping = {' % model_name.lower()])
output.extend([" '%s' : '%s'," % (rev_mapping[ogr_fld], ogr_fld) for ogr_fld in ds[options['layer_key']].fields])
output.extend([" '%s' : '%s'," % (options['geom_name'], mapping_dict[options['geom_name']]), '}'])
return '\n'.join(output)
| 6,252 | Python | .py | 109 | 45.330275 | 128 | 0.598562 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,687 | inspectdb.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/management/commands/inspectdb.py | from optparse import make_option
from django.core.management.base import CommandError
from django.core.management.commands.inspectdb import Command as InspectDBCommand
class Command(InspectDBCommand):
db_module = 'django.contrib.gis.db'
gis_tables = {}
def get_field_type(self, connection, table_name, row):
field_type, field_params, field_notes = super(Command, self).get_field_type(connection, table_name, row)
if field_type == 'GeometryField':
geo_col = row[0]
# Getting a more specific field type and any additional parameters
# from the `get_geometry_type` routine for the spatial backend.
field_type, geo_params = connection.introspection.get_geometry_type(table_name, geo_col)
field_params.update(geo_params)
# Adding the table name and column to the `gis_tables` dictionary, this
# allows us to track which tables need a GeoManager.
if table_name in self.gis_tables:
self.gis_tables[table_name].append(geo_col)
else:
self.gis_tables[table_name] = [geo_col]
return field_type, field_params, field_notes
def get_meta(self, table_name):
meta_lines = super(Command, self).get_meta(table_name)
if table_name in self.gis_tables:
# If the table is a geographic one, then we need make
# GeoManager the default manager for the model.
meta_lines.insert(0, ' objects = models.GeoManager()')
return meta_lines
| 1,553 | Python | .py | 28 | 45.75 | 112 | 0.664694 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,688 | error.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/error.py | """
This module houses the OGR & SRS Exception objects, and the
check_err() routine which checks the status code returned by
OGR methods.
"""
#### OGR & SRS Exceptions ####
class GDALException(Exception): pass
class OGRException(Exception): pass
class SRSException(Exception): pass
class OGRIndexError(OGRException, KeyError):
"""
This exception is raised when an invalid index is encountered, and has
the 'silent_variable_feature' attribute set to true. This ensures that
django's templates proceed to use the next lookup type gracefully when
an Exception is raised. Fixes ticket #4740.
"""
silent_variable_failure = True
#### OGR error checking codes and routine ####
# OGR Error Codes
OGRERR_DICT = { 1 : (OGRException, 'Not enough data.'),
2 : (OGRException, 'Not enough memory.'),
3 : (OGRException, 'Unsupported geometry type.'),
4 : (OGRException, 'Unsupported operation.'),
5 : (OGRException, 'Corrupt data.'),
6 : (OGRException, 'OGR failure.'),
7 : (SRSException, 'Unsupported SRS.'),
8 : (OGRException, 'Invalid handle.'),
}
OGRERR_NONE = 0
def check_err(code):
"Checks the given OGRERR, and raises an exception where appropriate."
if code == OGRERR_NONE:
return
elif code in OGRERR_DICT:
e, msg = OGRERR_DICT[code]
raise e, msg
else:
raise OGRException('Unknown error code: "%s"' % code)
| 1,517 | Python | .py | 38 | 33.263158 | 75 | 0.648538 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,689 | feature.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/feature.py | # The GDAL C library, OGR exception, and the Field object
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.error import OGRException, OGRIndexError
from django.contrib.gis.gdal.field import Field
from django.contrib.gis.gdal.geometries import OGRGeometry, OGRGeomType
from django.contrib.gis.gdal.srs import SpatialReference
# ctypes function prototypes
from django.contrib.gis.gdal.prototypes import ds as capi, geom as geom_api
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_F_* routines are relevant here.
class Feature(GDALBase):
"A class that wraps an OGR Feature, needs to be instantiated from a Layer object."
#### Python 'magic' routines ####
def __init__(self, feat, fdefn):
"Initializes on the pointers for the feature and the layer definition."
if not feat or not fdefn:
raise OGRException('Cannot create OGR Feature, invalid pointer given.')
self.ptr = feat
self._fdefn = fdefn
def __del__(self):
"Releases a reference to this object."
if self._ptr: capi.destroy_feature(self._ptr)
def __getitem__(self, index):
"""
Gets the Field object at the specified index, which may be either
an integer or the Field's string label. Note that the Field object
is not the field's _value_ -- use the `get` method instead to
retrieve the value (e.g. an integer) instead of a Field instance.
"""
if isinstance(index, basestring):
i = self.index(index)
else:
if index < 0 or index > self.num_fields:
raise OGRIndexError('index out of range')
i = index
return Field(self.ptr, i)
def __iter__(self):
"Iterates over each field in the Feature."
for i in xrange(self.num_fields):
yield self[i]
def __len__(self):
"Returns the count of fields in this feature."
return self.num_fields
def __str__(self):
"The string name of the feature."
return 'Feature FID %d in Layer<%s>' % (self.fid, self.layer_name)
def __eq__(self, other):
"Does equivalence testing on the features."
return bool(capi.feature_equal(self.ptr, other._ptr))
#### Feature Properties ####
@property
def fid(self):
"Returns the feature identifier."
return capi.get_fid(self.ptr)
@property
def layer_name(self):
"Returns the name of the layer for the feature."
return capi.get_feat_name(self._fdefn)
@property
def num_fields(self):
"Returns the number of fields in the Feature."
return capi.get_feat_field_count(self.ptr)
@property
def fields(self):
"Returns a list of fields in the Feature."
return [capi.get_field_name(capi.get_field_defn(self._fdefn, i))
for i in xrange(self.num_fields)]
@property
def geom(self):
"Returns the OGR Geometry for this Feature."
# Retrieving the geometry pointer for the feature.
geom_ptr = capi.get_feat_geom_ref(self.ptr)
return OGRGeometry(geom_api.clone_geom(geom_ptr))
@property
def geom_type(self):
"Returns the OGR Geometry Type for this Feture."
return OGRGeomType(capi.get_fd_geom_type(self._fdefn))
#### Feature Methods ####
def get(self, field):
"""
Returns the value of the field, instead of an instance of the Field
object. May take a string of the field name or a Field object as
parameters.
"""
field_name = getattr(field, 'name', field)
return self[field_name].value
def index(self, field_name):
"Returns the index of the given field name."
i = capi.get_field_index(self.ptr, field_name)
if i < 0: raise OGRIndexError('invalid OFT field name given: "%s"' % field_name)
return i
| 3,998 | Python | .py | 93 | 35.333333 | 88 | 0.651915 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,690 | geometries.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/geometries.py | """
The OGRGeometry is a wrapper for using the OGR Geometry class
(see http://www.gdal.org/ogr/classOGRGeometry.html). OGRGeometry
may be instantiated when reading geometries from OGR Data Sources
(e.g. SHP files), or when given OGC WKT (a string).
While the 'full' API is not present yet, the API is "pythonic" unlike
the traditional and "next-generation" OGR Python bindings. One major
advantage OGR Geometries have over their GEOS counterparts is support
for spatial reference systems and their transformation.
Example:
>>> from django.contrib.gis.gdal import OGRGeometry, OGRGeomType, SpatialReference
>>> wkt1, wkt2 = 'POINT(-90 30)', 'POLYGON((0 0, 5 0, 5 5, 0 5)'
>>> pnt = OGRGeometry(wkt1)
>>> print pnt
POINT (-90 30)
>>> mpnt = OGRGeometry(OGRGeomType('MultiPoint'), SpatialReference('WGS84'))
>>> mpnt.add(wkt1)
>>> mpnt.add(wkt1)
>>> print mpnt
MULTIPOINT (-90 30,-90 30)
>>> print mpnt.srs.name
WGS 84
>>> print mpnt.srs.proj
+proj=longlat +ellps=WGS84 +datum=WGS84 +no_defs
>>> mpnt.transform_to(SpatialReference('NAD27'))
>>> print mpnt.proj
+proj=longlat +ellps=clrk66 +datum=NAD27 +no_defs
>>> print mpnt
MULTIPOINT (-89.999930378602485 29.999797886557641,-89.999930378602485 29.999797886557641)
The OGRGeomType class is to make it easy to specify an OGR geometry type:
>>> from django.contrib.gis.gdal import OGRGeomType
>>> gt1 = OGRGeomType(3) # Using an integer for the type
>>> gt2 = OGRGeomType('Polygon') # Using a string
>>> gt3 = OGRGeomType('POLYGON') # It's case-insensitive
>>> print gt1 == 3, gt1 == 'Polygon' # Equivalence works w/non-OGRGeomType objects
True
"""
# Python library requisites.
import sys
from binascii import a2b_hex
from ctypes import byref, string_at, c_char_p, c_double, c_ubyte, c_void_p
# Getting GDAL prerequisites
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.envelope import Envelope, OGREnvelope
from django.contrib.gis.gdal.error import OGRException, OGRIndexError, SRSException
from django.contrib.gis.gdal.geomtype import OGRGeomType
from django.contrib.gis.gdal.libgdal import GEOJSON, GDAL_VERSION
from django.contrib.gis.gdal.srs import SpatialReference, CoordTransform
# Getting the ctypes prototype functions that interface w/the GDAL C library.
from django.contrib.gis.gdal.prototypes import geom as capi, srs as srs_api
# For recognizing geometry input.
from django.contrib.gis.geometry.regex import hex_regex, wkt_regex, json_regex
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_G_* routines are relevant here.
#### OGRGeometry Class ####
class OGRGeometry(GDALBase):
"Generally encapsulates an OGR geometry."
def __init__(self, geom_input, srs=None):
"Initializes Geometry on either WKT or an OGR pointer as input."
str_instance = isinstance(geom_input, basestring)
# If HEX, unpack input to to a binary buffer.
if str_instance and hex_regex.match(geom_input):
geom_input = buffer(a2b_hex(geom_input.upper()))
str_instance = False
# Constructing the geometry,
if str_instance:
# Checking if unicode
if isinstance(geom_input, unicode):
# Encoding to ASCII, WKT or HEX doesn't need any more.
geom_input = geom_input.encode('ascii')
wkt_m = wkt_regex.match(geom_input)
json_m = json_regex.match(geom_input)
if wkt_m:
if wkt_m.group('srid'):
# If there's EWKT, set the SRS w/value of the SRID.
srs = int(wkt_m.group('srid'))
if wkt_m.group('type').upper() == 'LINEARRING':
# OGR_G_CreateFromWkt doesn't work with LINEARRING WKT.
# See http://trac.osgeo.org/gdal/ticket/1992.
g = capi.create_geom(OGRGeomType(wkt_m.group('type')).num)
capi.import_wkt(g, byref(c_char_p(wkt_m.group('wkt'))))
else:
g = capi.from_wkt(byref(c_char_p(wkt_m.group('wkt'))), None, byref(c_void_p()))
elif json_m:
if GEOJSON:
g = capi.from_json(geom_input)
else:
raise NotImplementedError('GeoJSON input only supported on GDAL 1.5+.')
else:
# Seeing if the input is a valid short-hand string
# (e.g., 'Point', 'POLYGON').
ogr_t = OGRGeomType(geom_input)
g = capi.create_geom(OGRGeomType(geom_input).num)
elif isinstance(geom_input, buffer):
# WKB was passed in
g = capi.from_wkb(str(geom_input), None, byref(c_void_p()), len(geom_input))
elif isinstance(geom_input, OGRGeomType):
# OGRGeomType was passed in, an empty geometry will be created.
g = capi.create_geom(geom_input.num)
elif isinstance(geom_input, self.ptr_type):
# OGR pointer (c_void_p) was the input.
g = geom_input
else:
raise OGRException('Invalid input type for OGR Geometry construction: %s' % type(geom_input))
# Now checking the Geometry pointer before finishing initialization
# by setting the pointer for the object.
if not g:
raise OGRException('Cannot create OGR Geometry from input: %s' % str(geom_input))
self.ptr = g
# Assigning the SpatialReference object to the geometry, if valid.
if bool(srs): self.srs = srs
# Setting the class depending upon the OGR Geometry Type
self.__class__ = GEO_CLASSES[self.geom_type.num]
def __del__(self):
"Deletes this Geometry."
if self._ptr: capi.destroy_geom(self._ptr)
# Pickle routines
def __getstate__(self):
srs = self.srs
if srs:
srs = srs.wkt
else:
srs = None
return str(self.wkb), srs
def __setstate__(self, state):
wkb, srs = state
ptr = capi.from_wkb(wkb, None, byref(c_void_p()), len(wkb))
if not ptr: raise OGRException('Invalid OGRGeometry loaded from pickled state.')
self.ptr = ptr
self.srs = srs
@classmethod
def from_bbox(cls, bbox):
"Constructs a Polygon from a bounding box (4-tuple)."
x0, y0, x1, y1 = bbox
return OGRGeometry( 'POLYGON((%s %s, %s %s, %s %s, %s %s, %s %s))' % (
x0, y0, x0, y1, x1, y1, x1, y0, x0, y0) )
### Geometry set-like operations ###
# g = g1 | g2
def __or__(self, other):
"Returns the union of the two geometries."
return self.union(other)
# g = g1 & g2
def __and__(self, other):
"Returns the intersection of this Geometry and the other."
return self.intersection(other)
# g = g1 - g2
def __sub__(self, other):
"Return the difference this Geometry and the other."
return self.difference(other)
# g = g1 ^ g2
def __xor__(self, other):
"Return the symmetric difference of this Geometry and the other."
return self.sym_difference(other)
def __eq__(self, other):
"Is this Geometry equal to the other?"
if isinstance(other, OGRGeometry):
return self.equals(other)
else:
return False
def __ne__(self, other):
"Tests for inequality."
return not (self == other)
def __str__(self):
"WKT is used for the string representation."
return self.wkt
#### Geometry Properties ####
@property
def dimension(self):
"Returns 0 for points, 1 for lines, and 2 for surfaces."
return capi.get_dims(self.ptr)
def _get_coord_dim(self):
"Returns the coordinate dimension of the Geometry."
if isinstance(self, GeometryCollection) and GDAL_VERSION < (1, 5, 2):
# On GDAL versions prior to 1.5.2, there exists a bug in which
# the coordinate dimension of geometry collections is always 2:
# http://trac.osgeo.org/gdal/ticket/2334
# Here we workaround by returning the coordinate dimension of the
# first geometry in the collection instead.
if len(self):
return capi.get_coord_dim(capi.get_geom_ref(self.ptr, 0))
return capi.get_coord_dim(self.ptr)
def _set_coord_dim(self, dim):
"Sets the coordinate dimension of this Geometry."
if not dim in (2, 3):
raise ValueError('Geometry dimension must be either 2 or 3')
capi.set_coord_dim(self.ptr, dim)
coord_dim = property(_get_coord_dim, _set_coord_dim)
@property
def geom_count(self):
"The number of elements in this Geometry."
return capi.get_geom_count(self.ptr)
@property
def point_count(self):
"Returns the number of Points in this Geometry."
return capi.get_point_count(self.ptr)
@property
def num_points(self):
"Alias for `point_count` (same name method in GEOS API.)"
return self.point_count
@property
def num_coords(self):
"Alais for `point_count`."
return self.point_count
@property
def geom_type(self):
"Returns the Type for this Geometry."
return OGRGeomType(capi.get_geom_type(self.ptr))
@property
def geom_name(self):
"Returns the Name of this Geometry."
return capi.get_geom_name(self.ptr)
@property
def area(self):
"Returns the area for a LinearRing, Polygon, or MultiPolygon; 0 otherwise."
return capi.get_area(self.ptr)
@property
def envelope(self):
"Returns the envelope for this Geometry."
# TODO: Fix Envelope() for Point geometries.
return Envelope(capi.get_envelope(self.ptr, byref(OGREnvelope())))
@property
def extent(self):
"Returns the envelope as a 4-tuple, instead of as an Envelope object."
return self.envelope.tuple
#### SpatialReference-related Properties ####
# The SRS property
def _get_srs(self):
"Returns the Spatial Reference for this Geometry."
try:
srs_ptr = capi.get_geom_srs(self.ptr)
return SpatialReference(srs_api.clone_srs(srs_ptr))
except SRSException:
return None
def _set_srs(self, srs):
"Sets the SpatialReference for this geometry."
# Do not have to clone the `SpatialReference` object pointer because
# when it is assigned to this `OGRGeometry` it's internal OGR
# reference count is incremented, and will likewise be released
# (decremented) when this geometry's destructor is called.
if isinstance(srs, SpatialReference):
srs_ptr = srs.ptr
elif isinstance(srs, (int, long, basestring)):
sr = SpatialReference(srs)
srs_ptr = sr.ptr
else:
raise TypeError('Cannot assign spatial reference with object of type: %s' % type(srs))
capi.assign_srs(self.ptr, srs_ptr)
srs = property(_get_srs, _set_srs)
# The SRID property
def _get_srid(self):
srs = self.srs
if srs: return srs.srid
return None
def _set_srid(self, srid):
if isinstance(srid, (int, long)):
self.srs = srid
else:
raise TypeError('SRID must be set with an integer.')
srid = property(_get_srid, _set_srid)
#### Output Methods ####
@property
def geos(self):
"Returns a GEOSGeometry object from this OGRGeometry."
from django.contrib.gis.geos import GEOSGeometry
return GEOSGeometry(self.wkb, self.srid)
@property
def gml(self):
"Returns the GML representation of the Geometry."
return capi.to_gml(self.ptr)
@property
def hex(self):
"Returns the hexadecimal representation of the WKB (a string)."
return str(self.wkb).encode('hex').upper()
#return b2a_hex(self.wkb).upper()
@property
def json(self):
"""
Returns the GeoJSON representation of this Geometry (requires
GDAL 1.5+).
"""
if GEOJSON:
return capi.to_json(self.ptr)
else:
raise NotImplementedError('GeoJSON output only supported on GDAL 1.5+.')
geojson = json
@property
def kml(self):
"Returns the KML representation of the Geometry."
if GEOJSON:
return capi.to_kml(self.ptr, None)
else:
raise NotImplementedError('KML output only supported on GDAL 1.5+.')
@property
def wkb_size(self):
"Returns the size of the WKB buffer."
return capi.get_wkbsize(self.ptr)
@property
def wkb(self):
"Returns the WKB representation of the Geometry."
if sys.byteorder == 'little':
byteorder = 1 # wkbNDR (from ogr_core.h)
else:
byteorder = 0 # wkbXDR
sz = self.wkb_size
# Creating the unsigned character buffer, and passing it in by reference.
buf = (c_ubyte * sz)()
wkb = capi.to_wkb(self.ptr, byteorder, byref(buf))
# Returning a buffer of the string at the pointer.
return buffer(string_at(buf, sz))
@property
def wkt(self):
"Returns the WKT representation of the Geometry."
return capi.to_wkt(self.ptr, byref(c_char_p()))
@property
def ewkt(self):
"Returns the EWKT representation of the Geometry."
srs = self.srs
if srs and srs.srid:
return 'SRID=%s;%s' % (srs.srid, self.wkt)
else:
return self.wkt
#### Geometry Methods ####
def clone(self):
"Clones this OGR Geometry."
return OGRGeometry(capi.clone_geom(self.ptr), self.srs)
def close_rings(self):
"""
If there are any rings within this geometry that have not been
closed, this routine will do so by adding the starting point at the
end.
"""
# Closing the open rings.
capi.geom_close_rings(self.ptr)
def transform(self, coord_trans, clone=False):
"""
Transforms this geometry to a different spatial reference system.
May take a CoordTransform object, a SpatialReference object, string
WKT or PROJ.4, and/or an integer SRID. By default nothing is returned
and the geometry is transformed in-place. However, if the `clone`
keyword is set, then a transformed clone of this geometry will be
returned.
"""
if clone:
klone = self.clone()
klone.transform(coord_trans)
return klone
# Have to get the coordinate dimension of the original geometry
# so it can be used to reset the transformed geometry's dimension
# afterwards. This is done because of GDAL bug (in versions prior
# to 1.7) that turns geometries 3D after transformation, see:
# http://trac.osgeo.org/gdal/changeset/17792
if GDAL_VERSION < (1, 7):
orig_dim = self.coord_dim
# Depending on the input type, use the appropriate OGR routine
# to perform the transformation.
if isinstance(coord_trans, CoordTransform):
capi.geom_transform(self.ptr, coord_trans.ptr)
elif isinstance(coord_trans, SpatialReference):
capi.geom_transform_to(self.ptr, coord_trans.ptr)
elif isinstance(coord_trans, (int, long, basestring)):
sr = SpatialReference(coord_trans)
capi.geom_transform_to(self.ptr, sr.ptr)
else:
raise TypeError('Transform only accepts CoordTransform, '
'SpatialReference, string, and integer objects.')
# Setting with original dimension, see comment above.
if GDAL_VERSION < (1, 7):
if isinstance(self, GeometryCollection):
# With geometry collections have to set dimension on
# each internal geometry reference, as the collection
# dimension isn't affected.
for i in xrange(len(self)):
internal_ptr = capi.get_geom_ref(self.ptr, i)
if orig_dim != capi.get_coord_dim(internal_ptr):
capi.set_coord_dim(internal_ptr, orig_dim)
else:
if self.coord_dim != orig_dim:
self.coord_dim = orig_dim
def transform_to(self, srs):
"For backwards-compatibility."
self.transform(srs)
#### Topology Methods ####
def _topology(self, func, other):
"""A generalized function for topology operations, takes a GDAL function and
the other geometry to perform the operation on."""
if not isinstance(other, OGRGeometry):
raise TypeError('Must use another OGRGeometry object for topology operations!')
# Returning the output of the given function with the other geometry's
# pointer.
return func(self.ptr, other.ptr)
def intersects(self, other):
"Returns True if this geometry intersects with the other."
return self._topology(capi.ogr_intersects, other)
def equals(self, other):
"Returns True if this geometry is equivalent to the other."
return self._topology(capi.ogr_equals, other)
def disjoint(self, other):
"Returns True if this geometry and the other are spatially disjoint."
return self._topology(capi.ogr_disjoint, other)
def touches(self, other):
"Returns True if this geometry touches the other."
return self._topology(capi.ogr_touches, other)
def crosses(self, other):
"Returns True if this geometry crosses the other."
return self._topology(capi.ogr_crosses, other)
def within(self, other):
"Returns True if this geometry is within the other."
return self._topology(capi.ogr_within, other)
def contains(self, other):
"Returns True if this geometry contains the other."
return self._topology(capi.ogr_contains, other)
def overlaps(self, other):
"Returns True if this geometry overlaps the other."
return self._topology(capi.ogr_overlaps, other)
#### Geometry-generation Methods ####
def _geomgen(self, gen_func, other=None):
"A helper routine for the OGR routines that generate geometries."
if isinstance(other, OGRGeometry):
return OGRGeometry(gen_func(self.ptr, other.ptr), self.srs)
else:
return OGRGeometry(gen_func(self.ptr), self.srs)
@property
def boundary(self):
"Returns the boundary of this geometry."
return self._geomgen(capi.get_boundary)
@property
def convex_hull(self):
"""
Returns the smallest convex Polygon that contains all the points in
this Geometry.
"""
return self._geomgen(capi.geom_convex_hull)
def difference(self, other):
"""
Returns a new geometry consisting of the region which is the difference
of this geometry and the other.
"""
return self._geomgen(capi.geom_diff, other)
def intersection(self, other):
"""
Returns a new geometry consisting of the region of intersection of this
geometry and the other.
"""
return self._geomgen(capi.geom_intersection, other)
def sym_difference(self, other):
"""
Returns a new geometry which is the symmetric difference of this
geometry and the other.
"""
return self._geomgen(capi.geom_sym_diff, other)
def union(self, other):
"""
Returns a new geometry consisting of the region which is the union of
this geometry and the other.
"""
return self._geomgen(capi.geom_union, other)
# The subclasses for OGR Geometry.
class Point(OGRGeometry):
@property
def x(self):
"Returns the X coordinate for this Point."
return capi.getx(self.ptr, 0)
@property
def y(self):
"Returns the Y coordinate for this Point."
return capi.gety(self.ptr, 0)
@property
def z(self):
"Returns the Z coordinate for this Point."
if self.coord_dim == 3:
return capi.getz(self.ptr, 0)
@property
def tuple(self):
"Returns the tuple of this point."
if self.coord_dim == 2:
return (self.x, self.y)
elif self.coord_dim == 3:
return (self.x, self.y, self.z)
coords = tuple
class LineString(OGRGeometry):
def __getitem__(self, index):
"Returns the Point at the given index."
if index >= 0 and index < self.point_count:
x, y, z = c_double(), c_double(), c_double()
capi.get_point(self.ptr, index, byref(x), byref(y), byref(z))
dim = self.coord_dim
if dim == 1:
return (x.value,)
elif dim == 2:
return (x.value, y.value)
elif dim == 3:
return (x.value, y.value, z.value)
else:
raise OGRIndexError('index out of range: %s' % str(index))
def __iter__(self):
"Iterates over each point in the LineString."
for i in xrange(self.point_count):
yield self[i]
def __len__(self):
"The length returns the number of points in the LineString."
return self.point_count
@property
def tuple(self):
"Returns the tuple representation of this LineString."
return tuple([self[i] for i in xrange(len(self))])
coords = tuple
def _listarr(self, func):
"""
Internal routine that returns a sequence (list) corresponding with
the given function.
"""
return [func(self.ptr, i) for i in xrange(len(self))]
@property
def x(self):
"Returns the X coordinates in a list."
return self._listarr(capi.getx)
@property
def y(self):
"Returns the Y coordinates in a list."
return self._listarr(capi.gety)
@property
def z(self):
"Returns the Z coordinates in a list."
if self.coord_dim == 3:
return self._listarr(capi.getz)
# LinearRings are used in Polygons.
class LinearRing(LineString): pass
class Polygon(OGRGeometry):
def __len__(self):
"The number of interior rings in this Polygon."
return self.geom_count
def __iter__(self):
"Iterates through each ring in the Polygon."
for i in xrange(self.geom_count):
yield self[i]
def __getitem__(self, index):
"Gets the ring at the specified index."
if index < 0 or index >= self.geom_count:
raise OGRIndexError('index out of range: %s' % index)
else:
return OGRGeometry(capi.clone_geom(capi.get_geom_ref(self.ptr, index)), self.srs)
# Polygon Properties
@property
def shell(self):
"Returns the shell of this Polygon."
return self[0] # First ring is the shell
exterior_ring = shell
@property
def tuple(self):
"Returns a tuple of LinearRing coordinate tuples."
return tuple([self[i].tuple for i in xrange(self.geom_count)])
coords = tuple
@property
def point_count(self):
"The number of Points in this Polygon."
# Summing up the number of points in each ring of the Polygon.
return sum([self[i].point_count for i in xrange(self.geom_count)])
@property
def centroid(self):
"Returns the centroid (a Point) of this Polygon."
# The centroid is a Point, create a geometry for this.
p = OGRGeometry(OGRGeomType('Point'))
capi.get_centroid(self.ptr, p.ptr)
return p
# Geometry Collection base class.
class GeometryCollection(OGRGeometry):
"The Geometry Collection class."
def __getitem__(self, index):
"Gets the Geometry at the specified index."
if index < 0 or index >= self.geom_count:
raise OGRIndexError('index out of range: %s' % index)
else:
return OGRGeometry(capi.clone_geom(capi.get_geom_ref(self.ptr, index)), self.srs)
def __iter__(self):
"Iterates over each Geometry."
for i in xrange(self.geom_count):
yield self[i]
def __len__(self):
"The number of geometries in this Geometry Collection."
return self.geom_count
def add(self, geom):
"Add the geometry to this Geometry Collection."
if isinstance(geom, OGRGeometry):
if isinstance(geom, self.__class__):
for g in geom: capi.add_geom(self.ptr, g.ptr)
else:
capi.add_geom(self.ptr, geom.ptr)
elif isinstance(geom, basestring):
tmp = OGRGeometry(geom)
capi.add_geom(self.ptr, tmp.ptr)
else:
raise OGRException('Must add an OGRGeometry.')
@property
def point_count(self):
"The number of Points in this Geometry Collection."
# Summing up the number of points in each geometry in this collection
return sum([self[i].point_count for i in xrange(self.geom_count)])
@property
def tuple(self):
"Returns a tuple representation of this Geometry Collection."
return tuple([self[i].tuple for i in xrange(self.geom_count)])
coords = tuple
# Multiple Geometry types.
class MultiPoint(GeometryCollection): pass
class MultiLineString(GeometryCollection): pass
class MultiPolygon(GeometryCollection): pass
# Class mapping dictionary (using the OGRwkbGeometryType as the key)
GEO_CLASSES = {1 : Point,
2 : LineString,
3 : Polygon,
4 : MultiPoint,
5 : MultiLineString,
6 : MultiPolygon,
7 : GeometryCollection,
101: LinearRing,
1 + OGRGeomType.wkb25bit : Point,
2 + OGRGeomType.wkb25bit : LineString,
3 + OGRGeomType.wkb25bit : Polygon,
4 + OGRGeomType.wkb25bit : MultiPoint,
5 + OGRGeomType.wkb25bit : MultiLineString,
6 + OGRGeomType.wkb25bit : MultiPolygon,
7 + OGRGeomType.wkb25bit : GeometryCollection,
}
| 26,357 | Python | .py | 625 | 33.4624 | 105 | 0.628025 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,691 | geomtype.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/geomtype.py | from django.contrib.gis.gdal.error import OGRException
#### OGRGeomType ####
class OGRGeomType(object):
"Encapulates OGR Geometry Types."
wkb25bit = -2147483648
# Dictionary of acceptable OGRwkbGeometryType s and their string names.
_types = {0 : 'Unknown',
1 : 'Point',
2 : 'LineString',
3 : 'Polygon',
4 : 'MultiPoint',
5 : 'MultiLineString',
6 : 'MultiPolygon',
7 : 'GeometryCollection',
100 : 'None',
101 : 'LinearRing',
1 + wkb25bit: 'Point25D',
2 + wkb25bit: 'LineString25D',
3 + wkb25bit: 'Polygon25D',
4 + wkb25bit: 'MultiPoint25D',
5 + wkb25bit : 'MultiLineString25D',
6 + wkb25bit : 'MultiPolygon25D',
7 + wkb25bit : 'GeometryCollection25D',
}
# Reverse type dictionary, keyed by lower-case of the name.
_str_types = dict([(v.lower(), k) for k, v in _types.items()])
def __init__(self, type_input):
"Figures out the correct OGR Type based upon the input."
if isinstance(type_input, OGRGeomType):
num = type_input.num
elif isinstance(type_input, basestring):
type_input = type_input.lower()
if type_input == 'geometry': type_input='unknown'
num = self._str_types.get(type_input, None)
if num is None:
raise OGRException('Invalid OGR String Type "%s"' % type_input)
elif isinstance(type_input, int):
if not type_input in self._types:
raise OGRException('Invalid OGR Integer Type: %d' % type_input)
num = type_input
else:
raise TypeError('Invalid OGR input type given.')
# Setting the OGR geometry type number.
self.num = num
def __str__(self):
"Returns the value of the name property."
return self.name
def __eq__(self, other):
"""
Does an equivalence test on the OGR type with the given
other OGRGeomType, the short-hand string, or the integer.
"""
if isinstance(other, OGRGeomType):
return self.num == other.num
elif isinstance(other, basestring):
return self.name.lower() == other.lower()
elif isinstance(other, int):
return self.num == other
else:
return False
def __ne__(self, other):
return not (self == other)
@property
def name(self):
"Returns a short-hand string form of the OGR Geometry type."
return self._types[self.num]
@property
def django(self):
"Returns the Django GeometryField for this OGR Type."
s = self.name.replace('25D', '')
if s in ('LinearRing', 'None'):
return None
elif s == 'Unknown':
s = 'Geometry'
return s + 'Field'
| 2,967 | Python | .py | 75 | 29.066667 | 79 | 0.562978 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,692 | envelope.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/envelope.py | """
The GDAL/OGR library uses an Envelope structure to hold the bounding
box information for a geometry. The envelope (bounding box) contains
two pairs of coordinates, one for the lower left coordinate and one
for the upper right coordinate:
+----------o Upper right; (max_x, max_y)
| |
| |
| |
Lower left (min_x, min_y) o----------+
"""
from ctypes import Structure, c_double
from django.contrib.gis.gdal.error import OGRException
# The OGR definition of an Envelope is a C structure containing four doubles.
# See the 'ogr_core.h' source file for more information:
# http://www.gdal.org/ogr/ogr__core_8h-source.html
class OGREnvelope(Structure):
"Represents the OGREnvelope C Structure."
_fields_ = [("MinX", c_double),
("MaxX", c_double),
("MinY", c_double),
("MaxY", c_double),
]
class Envelope(object):
"""
The Envelope object is a C structure that contains the minimum and
maximum X, Y coordinates for a rectangle bounding box. The naming
of the variables is compatible with the OGR Envelope structure.
"""
def __init__(self, *args):
"""
The initialization function may take an OGREnvelope structure, 4-element
tuple or list, or 4 individual arguments.
"""
if len(args) == 1:
if isinstance(args[0], OGREnvelope):
# OGREnvelope (a ctypes Structure) was passed in.
self._envelope = args[0]
elif isinstance(args[0], (tuple, list)):
# A tuple was passed in.
if len(args[0]) != 4:
raise OGRException('Incorrect number of tuple elements (%d).' % len(args[0]))
else:
self._from_sequence(args[0])
else:
raise TypeError('Incorrect type of argument: %s' % str(type(args[0])))
elif len(args) == 4:
# Individiual parameters passed in.
# Thanks to ww for the help
self._from_sequence(map(float, args))
else:
raise OGRException('Incorrect number (%d) of arguments.' % len(args))
# Checking the x,y coordinates
if self.min_x > self.max_x:
raise OGRException('Envelope minimum X > maximum X.')
if self.min_y > self.max_y:
raise OGRException('Envelope minimum Y > maximum Y.')
def __eq__(self, other):
"""
Returns True if the envelopes are equivalent; can compare against
other Envelopes and 4-tuples.
"""
if isinstance(other, Envelope):
return (self.min_x == other.min_x) and (self.min_y == other.min_y) and \
(self.max_x == other.max_x) and (self.max_y == other.max_y)
elif isinstance(other, tuple) and len(other) == 4:
return (self.min_x == other[0]) and (self.min_y == other[1]) and \
(self.max_x == other[2]) and (self.max_y == other[3])
else:
raise OGRException('Equivalence testing only works with other Envelopes.')
def __str__(self):
"Returns a string representation of the tuple."
return str(self.tuple)
def _from_sequence(self, seq):
"Initializes the C OGR Envelope structure from the given sequence."
self._envelope = OGREnvelope()
self._envelope.MinX = seq[0]
self._envelope.MinY = seq[1]
self._envelope.MaxX = seq[2]
self._envelope.MaxY = seq[3]
def expand_to_include(self, *args):
"""
Modifies the envelope to expand to include the boundaries of
the passed-in 2-tuple (a point), 4-tuple (an extent) or
envelope.
"""
# We provide a number of different signatures for this method,
# and the logic here is all about converting them into a
# 4-tuple single parameter which does the actual work of
# expanding the envelope.
if len(args) == 1:
if isinstance(args[0], Envelope):
return self.expand_to_include(args[0].tuple)
elif hasattr(args[0], 'x') and hasattr(args[0], 'y'):
return self.expand_to_include(args[0].x, args[0].y, args[0].x, args[0].y)
elif isinstance(args[0], (tuple, list)):
# A tuple was passed in.
if len(args[0]) == 2:
return self.expand_to_include((args[0][0], args[0][1], args[0][0], args[0][1]))
elif len(args[0]) == 4:
(minx, miny, maxx, maxy) = args[0]
if minx < self._envelope.MinX:
self._envelope.MinX = minx
if miny < self._envelope.MinY:
self._envelope.MinY = miny
if maxx > self._envelope.MaxX:
self._envelope.MaxX = maxx
if maxy > self._envelope.MaxY:
self._envelope.MaxY = maxy
else:
raise OGRException('Incorrect number of tuple elements (%d).' % len(args[0]))
else:
raise TypeError('Incorrect type of argument: %s' % str(type(args[0])))
elif len(args) == 2:
# An x and an y parameter were passed in
return self.expand_to_include((args[0], args[1], args[0], args[1]))
elif len(args) == 4:
# Individiual parameters passed in.
return self.expand_to_include(args)
else:
raise OGRException('Incorrect number (%d) of arguments.' % len(args[0]))
@property
def min_x(self):
"Returns the value of the minimum X coordinate."
return self._envelope.MinX
@property
def min_y(self):
"Returns the value of the minimum Y coordinate."
return self._envelope.MinY
@property
def max_x(self):
"Returns the value of the maximum X coordinate."
return self._envelope.MaxX
@property
def max_y(self):
"Returns the value of the maximum Y coordinate."
return self._envelope.MaxY
@property
def ur(self):
"Returns the upper-right coordinate."
return (self.max_x, self.max_y)
@property
def ll(self):
"Returns the lower-left coordinate."
return (self.min_x, self.min_y)
@property
def tuple(self):
"Returns a tuple representing the envelope."
return (self.min_x, self.min_y, self.max_x, self.max_y)
@property
def wkt(self):
"Returns WKT representing a Polygon for this envelope."
# TODO: Fix significant figures.
return 'POLYGON((%s %s,%s %s,%s %s,%s %s,%s %s))' % \
(self.min_x, self.min_y, self.min_x, self.max_y,
self.max_x, self.max_y, self.max_x, self.min_y,
self.min_x, self.min_y)
| 7,044 | Python | .py | 157 | 33.522293 | 100 | 0.560887 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,693 | layer.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/layer.py | # Needed ctypes routines
from ctypes import c_double, byref
# Other GDAL imports.
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.envelope import Envelope, OGREnvelope
from django.contrib.gis.gdal.error import OGRException, OGRIndexError, SRSException
from django.contrib.gis.gdal.feature import Feature
from django.contrib.gis.gdal.field import OGRFieldTypes
from django.contrib.gis.gdal.geomtype import OGRGeomType
from django.contrib.gis.gdal.geometries import OGRGeometry
from django.contrib.gis.gdal.srs import SpatialReference
# GDAL ctypes function prototypes.
from django.contrib.gis.gdal.prototypes import ds as capi, geom as geom_api, srs as srs_api
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_L_* routines are relevant here.
class Layer(GDALBase):
"A class that wraps an OGR Layer, needs to be instantiated from a DataSource object."
#### Python 'magic' routines ####
def __init__(self, layer_ptr, ds):
"""
Initializes on an OGR C pointer to the Layer and the `DataSource` object
that owns this layer. The `DataSource` object is required so that a
reference to it is kept with this Layer. This prevents garbage
collection of the `DataSource` while this Layer is still active.
"""
if not layer_ptr:
raise OGRException('Cannot create Layer, invalid pointer given')
self.ptr = layer_ptr
self._ds = ds
self._ldefn = capi.get_layer_defn(self._ptr)
# Does the Layer support random reading?
self._random_read = self.test_capability('RandomRead')
def __getitem__(self, index):
"Gets the Feature at the specified index."
if isinstance(index, (int, long)):
# An integer index was given -- we cannot do a check based on the
# number of features because the beginning and ending feature IDs
# are not guaranteed to be 0 and len(layer)-1, respectively.
if index < 0: raise OGRIndexError('Negative indices are not allowed on OGR Layers.')
return self._make_feature(index)
elif isinstance(index, slice):
# A slice was given
start, stop, stride = index.indices(self.num_feat)
return [self._make_feature(fid) for fid in xrange(start, stop, stride)]
else:
raise TypeError('Integers and slices may only be used when indexing OGR Layers.')
def __iter__(self):
"Iterates over each Feature in the Layer."
# ResetReading() must be called before iteration is to begin.
capi.reset_reading(self._ptr)
for i in xrange(self.num_feat):
yield Feature(capi.get_next_feature(self._ptr), self._ldefn)
def __len__(self):
"The length is the number of features."
return self.num_feat
def __str__(self):
"The string name of the layer."
return self.name
def _make_feature(self, feat_id):
"""
Helper routine for __getitem__ that constructs a Feature from the given
Feature ID. If the OGR Layer does not support random-access reading,
then each feature of the layer will be incremented through until the
a Feature is found matching the given feature ID.
"""
if self._random_read:
# If the Layer supports random reading, return.
try:
return Feature(capi.get_feature(self.ptr, feat_id), self._ldefn)
except OGRException:
pass
else:
# Random access isn't supported, have to increment through
# each feature until the given feature ID is encountered.
for feat in self:
if feat.fid == feat_id: return feat
# Should have returned a Feature, raise an OGRIndexError.
raise OGRIndexError('Invalid feature id: %s.' % feat_id)
#### Layer properties ####
@property
def extent(self):
"Returns the extent (an Envelope) of this layer."
env = OGREnvelope()
capi.get_extent(self.ptr, byref(env), 1)
return Envelope(env)
@property
def name(self):
"Returns the name of this layer in the Data Source."
return capi.get_fd_name(self._ldefn)
@property
def num_feat(self, force=1):
"Returns the number of features in the Layer."
return capi.get_feature_count(self.ptr, force)
@property
def num_fields(self):
"Returns the number of fields in the Layer."
return capi.get_field_count(self._ldefn)
@property
def geom_type(self):
"Returns the geometry type (OGRGeomType) of the Layer."
return OGRGeomType(capi.get_fd_geom_type(self._ldefn))
@property
def srs(self):
"Returns the Spatial Reference used in this Layer."
try:
ptr = capi.get_layer_srs(self.ptr)
return SpatialReference(srs_api.clone_srs(ptr))
except SRSException:
return None
@property
def fields(self):
"""
Returns a list of string names corresponding to each of the Fields
available in this Layer.
"""
return [capi.get_field_name(capi.get_field_defn(self._ldefn, i))
for i in xrange(self.num_fields) ]
@property
def field_types(self):
"""
Returns a list of the types of fields in this Layer. For example,
the list [OFTInteger, OFTReal, OFTString] would be returned for
an OGR layer that had an integer, a floating-point, and string
fields.
"""
return [OGRFieldTypes[capi.get_field_type(capi.get_field_defn(self._ldefn, i))]
for i in xrange(self.num_fields)]
@property
def field_widths(self):
"Returns a list of the maximum field widths for the features."
return [capi.get_field_width(capi.get_field_defn(self._ldefn, i))
for i in xrange(self.num_fields)]
@property
def field_precisions(self):
"Returns the field precisions for the features."
return [capi.get_field_precision(capi.get_field_defn(self._ldefn, i))
for i in xrange(self.num_fields)]
def _get_spatial_filter(self):
try:
return OGRGeometry(geom_api.clone_geom(capi.get_spatial_filter(self.ptr)))
except OGRException:
return None
def _set_spatial_filter(self, filter):
if isinstance(filter, OGRGeometry):
capi.set_spatial_filter(self.ptr, filter.ptr)
elif isinstance(filter, (tuple, list)):
if not len(filter) == 4:
raise ValueError('Spatial filter list/tuple must have 4 elements.')
# Map c_double onto params -- if a bad type is passed in it
# will be caught here.
xmin, ymin, xmax, ymax = map(c_double, filter)
capi.set_spatial_filter_rect(self.ptr, xmin, ymin, xmax, ymax)
elif filter is None:
capi.set_spatial_filter(self.ptr, None)
else:
raise TypeError('Spatial filter must be either an OGRGeometry instance, a 4-tuple, or None.')
spatial_filter = property(_get_spatial_filter, _set_spatial_filter)
#### Layer Methods ####
def get_fields(self, field_name):
"""
Returns a list containing the given field name for every Feature
in the Layer.
"""
if not field_name in self.fields:
raise OGRException('invalid field name: %s' % field_name)
return [feat.get(field_name) for feat in self]
def get_geoms(self, geos=False):
"""
Returns a list containing the OGRGeometry for every Feature in
the Layer.
"""
if geos:
from django.contrib.gis.geos import GEOSGeometry
return [GEOSGeometry(feat.geom.wkb) for feat in self]
else:
return [feat.geom for feat in self]
def test_capability(self, capability):
"""
Returns a bool indicating whether the this Layer supports the given
capability (a string). Valid capability strings include:
'RandomRead', 'SequentialWrite', 'RandomWrite', 'FastSpatialFilter',
'FastFeatureCount', 'FastGetExtent', 'CreateField', 'Transactions',
'DeleteFeature', and 'FastSetNextByIndex'.
"""
return bool(capi.test_capability(self.ptr, capability))
| 8,489 | Python | .py | 187 | 36.631016 | 105 | 0.64644 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,694 | __init__.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/__init__.py | """
This module houses ctypes interfaces for GDAL objects. The following GDAL
objects are supported:
CoordTransform: Used for coordinate transformations from one spatial
reference system to another.
Driver: Wraps an OGR data source driver.
DataSource: Wrapper for the OGR data source object, supports
OGR-supported data sources.
Envelope: A ctypes structure for bounding boxes (GDAL library
not required).
OGRGeometry: Object for accessing OGR Geometry functionality.
OGRGeomType: A class for representing the different OGR Geometry
types (GDAL library not required).
SpatialReference: Represents OSR Spatial Reference objects.
The GDAL library will be imported from the system path using the default
library name for the current OS. The default library path may be overridden
by setting `GDAL_LIBRARY_PATH` in your settings with the path to the GDAL C
library on your system.
GDAL links to a large number of external libraries that consume RAM when
loaded. Thus, it may desirable to disable GDAL on systems with limited
RAM resources -- this may be accomplished by setting `GDAL_LIBRARY_PATH`
to a non-existant file location (e.g., `GDAL_LIBRARY_PATH='/null/path'`;
setting to None/False/'' will not work as a string must be given).
"""
# Attempting to import objects that depend on the GDAL library. The
# HAS_GDAL flag will be set to True if the library is present on
# the system.
try:
from django.contrib.gis.gdal.driver import Driver
from django.contrib.gis.gdal.datasource import DataSource
from django.contrib.gis.gdal.libgdal import gdal_version, gdal_full_version, gdal_release_date, GEOJSON, GDAL_VERSION
from django.contrib.gis.gdal.srs import SpatialReference, CoordTransform
from django.contrib.gis.gdal.geometries import OGRGeometry
HAS_GDAL = True
except:
HAS_GDAL, GEOJSON = False, False
try:
from django.contrib.gis.gdal.envelope import Envelope
except ImportError:
# No ctypes, but don't raise an exception.
pass
from django.contrib.gis.gdal.error import check_err, OGRException, OGRIndexError, SRSException
from django.contrib.gis.gdal.geomtype import OGRGeomType
| 2,173 | Python | .py | 43 | 47.534884 | 121 | 0.794048 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,695 | libgdal.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/libgdal.py | import os, re, sys
from ctypes import c_char_p, CDLL
from ctypes.util import find_library
from django.contrib.gis.gdal.error import OGRException
# Custom library path set?
try:
from django.conf import settings
lib_path = settings.GDAL_LIBRARY_PATH
except (AttributeError, EnvironmentError, ImportError):
lib_path = None
if lib_path:
lib_names = None
elif os.name == 'nt':
# Windows NT shared library
lib_names = ['gdal17', 'gdal16', 'gdal15']
elif os.name == 'posix':
# *NIX library names.
lib_names = ['gdal', 'GDAL', 'gdal1.7.0', 'gdal1.6.0', 'gdal1.5.0', 'gdal1.4.0']
else:
raise OGRException('Unsupported OS "%s"' % os.name)
# Using the ctypes `find_library` utility to find the
# path to the GDAL library from the list of library names.
if lib_names:
for lib_name in lib_names:
lib_path = find_library(lib_name)
if not lib_path is None: break
if lib_path is None:
raise OGRException('Could not find the GDAL library (tried "%s"). '
'Try setting GDAL_LIBRARY_PATH in your settings.' %
'", "'.join(lib_names))
# This loads the GDAL/OGR C library
lgdal = CDLL(lib_path)
# On Windows, the GDAL binaries have some OSR routines exported with
# STDCALL, while others are not. Thus, the library will also need to
# be loaded up as WinDLL for said OSR functions that require the
# different calling convention.
if os.name == 'nt':
from ctypes import WinDLL
lwingdal = WinDLL(lib_path)
def std_call(func):
"""
Returns the correct STDCALL function for certain OSR routines on Win32
platforms.
"""
if os.name == 'nt':
return lwingdal[func]
else:
return lgdal[func]
#### Version-information functions. ####
# Returns GDAL library version information with the given key.
_version_info = std_call('GDALVersionInfo')
_version_info.argtypes = [c_char_p]
_version_info.restype = c_char_p
def gdal_version():
"Returns only the GDAL version number information."
return _version_info('RELEASE_NAME')
def gdal_full_version():
"Returns the full GDAL version information."
return _version_info('')
def gdal_release_date(date=False):
"""
Returns the release date in a string format, e.g, "2007/06/27".
If the date keyword argument is set to True, a Python datetime object
will be returned instead.
"""
from datetime import date as date_type
rel = _version_info('RELEASE_DATE')
yy, mm, dd = map(int, (rel[0:4], rel[4:6], rel[6:8]))
d = date_type(yy, mm, dd)
if date: return d
else: return d.strftime('%Y/%m/%d')
version_regex = re.compile(r'^(?P<major>\d+)\.(?P<minor>\d+)(\.(?P<subminor>\d+))?')
def gdal_version_info():
ver = gdal_version()
m = version_regex.match(ver)
if not m: raise OGRException('Could not parse GDAL version string "%s"' % ver)
return dict([(key, m.group(key)) for key in ('major', 'minor', 'subminor')])
_verinfo = gdal_version_info()
GDAL_MAJOR_VERSION = int(_verinfo['major'])
GDAL_MINOR_VERSION = int(_verinfo['minor'])
GDAL_SUBMINOR_VERSION = _verinfo['subminor'] and int(_verinfo['subminor'])
GDAL_VERSION = (GDAL_MAJOR_VERSION, GDAL_MINOR_VERSION, GDAL_SUBMINOR_VERSION)
del _verinfo
# GeoJSON support is available only in GDAL 1.5+.
if GDAL_VERSION >= (1, 5):
GEOJSON = True
else:
GEOJSON = False
| 3,378 | Python | .py | 88 | 34.329545 | 84 | 0.684017 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,696 | base.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/base.py | from ctypes import c_void_p
from types import NoneType
from django.contrib.gis.gdal.error import GDALException
class GDALBase(object):
"""
Base object for GDAL objects that has a pointer access property
that controls access to the underlying C pointer.
"""
# Initially the pointer is NULL.
_ptr = None
# Default allowed pointer type.
ptr_type = c_void_p
# Pointer access property.
def _get_ptr(self):
# Raise an exception if the pointer isn't valid don't
# want to be passing NULL pointers to routines --
# that's very bad.
if self._ptr: return self._ptr
else: raise GDALException('GDAL %s pointer no longer valid.' % self.__class__.__name__)
def _set_ptr(self, ptr):
# Only allow the pointer to be set with pointers of the
# compatible type or None (NULL).
if isinstance(ptr, (int, long)):
self._ptr = self.ptr_type(ptr)
elif isinstance(ptr, (self.ptr_type, NoneType)):
self._ptr = ptr
else:
raise TypeError('Incompatible pointer type')
ptr = property(_get_ptr, _set_ptr)
| 1,143 | Python | .py | 29 | 32.551724 | 95 | 0.648014 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,697 | datasource.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/datasource.py | """
DataSource is a wrapper for the OGR Data Source object, which provides
an interface for reading vector geometry data from many different file
formats (including ESRI shapefiles).
When instantiating a DataSource object, use the filename of a
GDAL-supported data source. For example, a SHP file or a
TIGER/Line file from the government.
The ds_driver keyword is used internally when a ctypes pointer
is passed in directly.
Example:
ds = DataSource('/home/foo/bar.shp')
for layer in ds:
for feature in layer:
# Getting the geometry for the feature.
g = feature.geom
# Getting the 'description' field for the feature.
desc = feature['description']
# We can also increment through all of the fields
# attached to this feature.
for field in feature:
# Get the name of the field (e.g. 'description')
nm = field.name
# Get the type (integer) of the field, e.g. 0 => OFTInteger
t = field.type
# Returns the value the field; OFTIntegers return ints,
# OFTReal returns floats, all else returns string.
val = field.value
"""
# ctypes prerequisites.
from ctypes import byref, c_void_p
# The GDAL C library, OGR exceptions, and the Layer object.
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.driver import Driver
from django.contrib.gis.gdal.error import OGRException, OGRIndexError
from django.contrib.gis.gdal.layer import Layer
# Getting the ctypes prototypes for the DataSource.
from django.contrib.gis.gdal.prototypes import ds as capi
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_DS_* routines are relevant here.
class DataSource(GDALBase):
"Wraps an OGR Data Source object."
#### Python 'magic' routines ####
def __init__(self, ds_input, ds_driver=False, write=False):
# The write flag.
if write:
self._write = 1
else:
self._write = 0
# Registering all the drivers, this needs to be done
# _before_ we try to open up a data source.
if not capi.get_driver_count():
capi.register_all()
if isinstance(ds_input, basestring):
# The data source driver is a void pointer.
ds_driver = Driver.ptr_type()
try:
# OGROpen will auto-detect the data source type.
ds = capi.open_ds(ds_input, self._write, byref(ds_driver))
except OGRException:
# Making the error message more clear rather than something
# like "Invalid pointer returned from OGROpen".
raise OGRException('Could not open the datasource at "%s"' % ds_input)
elif isinstance(ds_input, self.ptr_type) and isinstance(ds_driver, Driver.ptr_type):
ds = ds_input
else:
raise OGRException('Invalid data source input type: %s' % type(ds_input))
if bool(ds):
self.ptr = ds
self.driver = Driver(ds_driver)
else:
# Raise an exception if the returned pointer is NULL
raise OGRException('Invalid data source file "%s"' % ds_input)
def __del__(self):
"Destroys this DataStructure object."
if self._ptr: capi.destroy_ds(self._ptr)
def __iter__(self):
"Allows for iteration over the layers in a data source."
for i in xrange(self.layer_count):
yield self[i]
def __getitem__(self, index):
"Allows use of the index [] operator to get a layer at the index."
if isinstance(index, basestring):
l = capi.get_layer_by_name(self.ptr, index)
if not l: raise OGRIndexError('invalid OGR Layer name given: "%s"' % index)
elif isinstance(index, int):
if index < 0 or index >= self.layer_count:
raise OGRIndexError('index out of range')
l = capi.get_layer(self._ptr, index)
else:
raise TypeError('Invalid index type: %s' % type(index))
return Layer(l, self)
def __len__(self):
"Returns the number of layers within the data source."
return self.layer_count
def __str__(self):
"Returns OGR GetName and Driver for the Data Source."
return '%s (%s)' % (self.name, str(self.driver))
@property
def layer_count(self):
"Returns the number of layers in the data source."
return capi.get_layer_count(self._ptr)
@property
def name(self):
"Returns the name of the data source."
return capi.get_ds_name(self._ptr)
| 4,734 | Python | .py | 107 | 35.64486 | 92 | 0.635494 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,698 | driver.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/driver.py | # prerequisites imports
from ctypes import c_void_p
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.error import OGRException
from django.contrib.gis.gdal.prototypes import ds as capi
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_Dr_* routines are relevant here.
class Driver(GDALBase):
"Wraps an OGR Data Source Driver."
# Case-insensitive aliases for OGR Drivers.
_alias = {'esri' : 'ESRI Shapefile',
'shp' : 'ESRI Shapefile',
'shape' : 'ESRI Shapefile',
'tiger' : 'TIGER',
'tiger/line' : 'TIGER',
}
def __init__(self, dr_input):
"Initializes an OGR driver on either a string or integer input."
if isinstance(dr_input, basestring):
# If a string name of the driver was passed in
self._register()
# Checking the alias dictionary (case-insensitive) to see if an alias
# exists for the given driver.
if dr_input.lower() in self._alias:
name = self._alias[dr_input.lower()]
else:
name = dr_input
# Attempting to get the OGR driver by the string name.
dr = capi.get_driver_by_name(name)
elif isinstance(dr_input, int):
self._register()
dr = capi.get_driver(dr_input)
elif isinstance(dr_input, c_void_p):
dr = dr_input
else:
raise OGRException('Unrecognized input type for OGR Driver: %s' % str(type(dr_input)))
# Making sure we get a valid pointer to the OGR Driver
if not dr:
raise OGRException('Could not initialize OGR Driver on input: %s' % str(dr_input))
self.ptr = dr
def __str__(self):
"Returns the string name of the OGR Driver."
return capi.get_driver_name(self.ptr)
def _register(self):
"Attempts to register all the data source drivers."
# Only register all if the driver count is 0 (or else all drivers
# will be registered over and over again)
if not self.driver_count: capi.register_all()
# Driver properties
@property
def driver_count(self):
"Returns the number of OGR data source drivers registered."
return capi.get_driver_count()
| 2,411 | Python | .py | 55 | 34.309091 | 98 | 0.622944 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
3,699 | field.py | gabrielfalcao_lettuce/tests/integration/lib/Django-1.2.5/django/contrib/gis/gdal/field.py | from ctypes import byref, c_int
from datetime import date, datetime, time
from django.contrib.gis.gdal.base import GDALBase
from django.contrib.gis.gdal.error import OGRException
from django.contrib.gis.gdal.prototypes import ds as capi
# For more information, see the OGR C API source code:
# http://www.gdal.org/ogr/ogr__api_8h.html
#
# The OGR_Fld_* routines are relevant here.
class Field(GDALBase):
"A class that wraps an OGR Field, needs to be instantiated from a Feature object."
#### Python 'magic' routines ####
def __init__(self, feat, index):
"""
Initializes on the feature pointer and the integer index of
the field within the feature.
"""
# Setting the feature pointer and index.
self._feat = feat
self._index = index
# Getting the pointer for this field.
fld_ptr = capi.get_feat_field_defn(feat, index)
if not fld_ptr:
raise OGRException('Cannot create OGR Field, invalid pointer given.')
self.ptr = fld_ptr
# Setting the class depending upon the OGR Field Type (OFT)
self.__class__ = OGRFieldTypes[self.type]
# OFTReal with no precision should be an OFTInteger.
if isinstance(self, OFTReal) and self.precision == 0:
self.__class__ = OFTInteger
def __str__(self):
"Returns the string representation of the Field."
return str(self.value).strip()
#### Field Methods ####
def as_double(self):
"Retrieves the Field's value as a double (float)."
return capi.get_field_as_double(self._feat, self._index)
def as_int(self):
"Retrieves the Field's value as an integer."
return capi.get_field_as_integer(self._feat, self._index)
def as_string(self):
"Retrieves the Field's value as a string."
return capi.get_field_as_string(self._feat, self._index)
def as_datetime(self):
"Retrieves the Field's value as a tuple of date & time components."
yy, mm, dd, hh, mn, ss, tz = [c_int() for i in range(7)]
status = capi.get_field_as_datetime(self._feat, self._index, byref(yy), byref(mm), byref(dd),
byref(hh), byref(mn), byref(ss), byref(tz))
if status:
return (yy, mm, dd, hh, mn, ss, tz)
else:
raise OGRException('Unable to retrieve date & time information from the field.')
#### Field Properties ####
@property
def name(self):
"Returns the name of this Field."
return capi.get_field_name(self.ptr)
@property
def precision(self):
"Returns the precision of this Field."
return capi.get_field_precision(self.ptr)
@property
def type(self):
"Returns the OGR type of this Field."
return capi.get_field_type(self.ptr)
@property
def type_name(self):
"Return the OGR field type name for this Field."
return capi.get_field_type_name(self.type)
@property
def value(self):
"Returns the value of this Field."
# Default is to get the field as a string.
return self.as_string()
@property
def width(self):
"Returns the width of this Field."
return capi.get_field_width(self.ptr)
### The Field sub-classes for each OGR Field type. ###
class OFTInteger(Field):
@property
def value(self):
"Returns an integer contained in this field."
return self.as_int()
@property
def type(self):
"""
GDAL uses OFTReals to represent OFTIntegers in created
shapefiles -- forcing the type here since the underlying field
type may actually be OFTReal.
"""
return 0
class OFTReal(Field):
@property
def value(self):
"Returns a float contained in this field."
return self.as_double()
# String & Binary fields, just subclasses
class OFTString(Field): pass
class OFTWideString(Field): pass
class OFTBinary(Field): pass
# OFTDate, OFTTime, OFTDateTime fields.
class OFTDate(Field):
@property
def value(self):
"Returns a Python `date` object for the OFTDate field."
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return date(yy.value, mm.value, dd.value)
except (ValueError, OGRException):
return None
class OFTDateTime(Field):
@property
def value(self):
"Returns a Python `datetime` object for this OFTDateTime field."
# TODO: Adapt timezone information.
# See http://lists.maptools.org/pipermail/gdal-dev/2006-February/007990.html
# The `tz` variable has values of: 0=unknown, 1=localtime (ambiguous),
# 100=GMT, 104=GMT+1, 80=GMT-5, etc.
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return datetime(yy.value, mm.value, dd.value, hh.value, mn.value, ss.value)
except (ValueError, OGRException):
return None
class OFTTime(Field):
@property
def value(self):
"Returns a Python `time` object for this OFTTime field."
try:
yy, mm, dd, hh, mn, ss, tz = self.as_datetime()
return time(hh.value, mn.value, ss.value)
except (ValueError, OGRException):
return None
# List fields are also just subclasses
class OFTIntegerList(Field): pass
class OFTRealList(Field): pass
class OFTStringList(Field): pass
class OFTWideStringList(Field): pass
# Class mapping dictionary for OFT Types and reverse mapping.
OGRFieldTypes = { 0 : OFTInteger,
1 : OFTIntegerList,
2 : OFTReal,
3 : OFTRealList,
4 : OFTString,
5 : OFTStringList,
6 : OFTWideString,
7 : OFTWideStringList,
8 : OFTBinary,
9 : OFTDate,
10 : OFTTime,
11 : OFTDateTime,
}
ROGRFieldTypes = dict([(cls, num) for num, cls in OGRFieldTypes.items()])
| 6,059 | Python | .py | 153 | 31.437908 | 101 | 0.625745 | gabrielfalcao/lettuce | 1,274 | 325 | 102 | GPL-3.0 | 9/5/2024, 5:08:58 PM (Europe/Amsterdam) |
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