Datasets:

Modalities:
Text
Formats:
json
Languages:
code
Size:
< 1K
Tags:
code
Libraries:
Datasets
pandas
License:
Asankhaya Sharma
initial dataset
eb67da4
raw
history blame
3.53 kB
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from future.utils import iteritems
import yaml
import json
from mlalchemy.errors import *
from mlalchemy.structures import *
from mlalchemy.constants import *
from mlalchemy.utils import *
import logging
logger = logging.getLogger(__name__)
__all__ = [
"parse_yaml_query",
"parse_json_query",
"parse_query",
"parse_query_fragment"
]
def parse_yaml_query(yaml_content):
"""Parses the given YAML string to attempt to extract a query.
Args:
yaml_content: A string containing YAML content.
Returns:
On success, the processed MLQuery object.
"""
logger.debug("Attempting to parse YAML content:\n%s" % yaml_content)
# BUG: NVD-CWE-noinfo Insufficient Information
# return parse_query(yaml.load(yaml_content))
# FIXED:
return parse_query(yaml.safe_load(yaml_content))
def parse_json_query(json_content):
"""Parses the given JSON string to attempt to extract a query.
Args:
json_content: A string containing JSON content.
Returns:
On success, the processed MLQuery object.
"""
logger.debug("Attempting to parse JSON content:\n%s" % json_content)
return parse_query(json.loads(json_content))
def parse_query(qd):
"""Parses the given query dictionary to produce an MLQuery object.
Args:
qd: A Python dictionary (pre-parsed from JSON/YAML) from which to extract the query.
Returns:
On success, the processed MLQuery object.
"""
if not isinstance(qd, dict):
raise TypeError("Argument for query parsing must be a Python dictionary")
if 'from' not in qd:
raise QuerySyntaxError("Missing \"from\" argument in query")
logger.debug("Attempting to parse query dictionary:\n%s" % json_dumps(qd, indent=2))
qf = parse_query_fragment(qd['where']).simplify() if 'where' in qd else None
if isinstance(qf, MLClause):
qf = MLQueryFragment(OP_AND, clauses=[qf])
return MLQuery(
qd['from'],
query_fragment=qf,
order_by=qd.get('orderBy', qd.get('order-by', qd.get('order_by', None))),
offset=qd.get('offset', None),
limit=qd.get('limit', None)
)
def parse_query_fragment(q, op=OP_AND, comp=COMP_EQ):
"""Parses the given query object for its query fragment only."""
if not isinstance(q, list) and not isinstance(q, dict):
raise TypeError("\"Where\" clause in query fragment must either be a list or a dictionary")
# ensure we're always dealing with a list
if not isinstance(q, list):
q = [q]
clauses = []
sub_fragments = []
for sub_q in q:
if not isinstance(sub_q, dict):
raise TypeError("Sub-fragment must be a dictionary: %s" % sub_q)
for k, v in iteritems(sub_q):
# if v is a sub-fragment with a specific operator
if k in OPERATORS:
s = parse_query_fragment(v, op=k, comp=comp).simplify()
elif k in COMPARATORS:
# it's a sub-fragment, but its comparator is explicitly specified
s = parse_query_fragment(v, op=op, comp=k).simplify()
else:
# it must be a clause
s = MLClause(k, comp, v)
if isinstance(s, MLQueryFragment):
sub_fragments.append(s)
elif isinstance(s, MLClause):
clauses.append(s)
return MLQueryFragment(op, clauses=clauses, sub_fragments=sub_fragments)