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# Copyright 2002 by Andrew Dalke. All rights reserved.
# Revisions 2007-2016 copyright by Peter Cock. All rights reserved.
# Revisions 2008-2009 copyright by Cymon J. Cox. All rights reserved.
#
# This file is part of the Biopython distribution and governed by your
# choice of the "Biopython License Agreement" or the "BSD 3-Clause License".
# Please see the LICENSE file that should have been included as part of this
# package.
#
# Note that BioSQL (including the database schema and scripts) is
# available and licensed separately. Please consult www.biosql.org
"""Implementations of Biopython-like Seq objects on top of BioSQL.
This allows retrieval of items stored in a BioSQL database using
a biopython-like SeqRecord and Seq interface.
Note: Currently we do not support recording per-letter-annotations
(like quality scores) in BioSQL.
"""
from Bio.Seq import Seq, SequenceDataAbstractBaseClass
from Bio.SeqRecord import SeqRecord, _RestrictedDict
from Bio import SeqFeature
class _BioSQLSequenceData(SequenceDataAbstractBaseClass):
"""Retrieves sequence data from a BioSQL database (PRIVATE)."""
__slots__ = ("primary_id", "adaptor", "_length", "start")
def __init__(self, primary_id, adaptor, start=0, length=0):
"""Create a new _BioSQLSequenceData object referring to a BioSQL entry.
You wouldn't normally create a _BioSQLSequenceData object yourself,
this is done for you when retrieving a DBSeqRecord object from the
database, which creates a Seq object using a _BioSQLSequenceData
instance as the data provider.
"""
self.primary_id = primary_id
self.adaptor = adaptor
self._length = length
self.start = start
super().__init__()
def __len__(self):
"""Return the length of the sequence."""
return self._length
def __getitem__(self, key):
"""Return a subsequence as a bytes or a _BioSQLSequenceData object."""
if isinstance(key, slice):
start, end, step = key.indices(self._length)
size = len(range(start, end, step))
if size == 0:
return b""
else:
# Return a single letter as an integer (consistent with bytes)
i = key
if i < 0:
i += self._length
if i < 0:
raise IndexError(key)
elif i >= self._length:
raise IndexError(key)
c = self.adaptor.get_subseq_as_string(
self.primary_id, self.start + i, self.start + i + 1
)
return ord(c)
if step == 1:
if start == 0 and size == self._length:
# Return the full sequence as bytes
sequence = self.adaptor.get_subseq_as_string(
self.primary_id, self.start, self.start + self._length
)
return sequence.encode("ASCII")
else:
# Return a _BioSQLSequenceData with the start and end adjusted
return _BioSQLSequenceData(
self.primary_id, self.adaptor, self.start + start, size
)
else:
# Will have to extract the sequence because of the stride
full = self.adaptor.get_subseq_as_string(
self.primary_id, self.start + start, self.start + end
)
return full[::step].encode("ASCII")
def _retrieve_seq_len(adaptor, primary_id):
# The database schema ensures there will be only one matching row
seqs = adaptor.execute_and_fetchall(
"SELECT length FROM biosequence WHERE bioentry_id = %s", (primary_id,)
)
if not seqs:
return None
if len(seqs) != 1:
raise ValueError(f"Expected 1 response, got {len(seqs)}.")
(given_length,) = seqs[0]
return int(given_length)
def _retrieve_seq(adaptor, primary_id):
# The database schema ensures there will be only one matching
# row in the table.
# If an undefined sequence was recorded, seq will be NULL,
# but length will be populated. This means length(seq)
# will return None.
seqs = adaptor.execute_and_fetchall(
"SELECT alphabet, length, length(seq) FROM biosequence WHERE bioentry_id = %s",
(primary_id,),
)
if not seqs:
return
if len(seqs) != 1:
raise ValueError(f"Expected 1 response, got {len(seqs)}.")
moltype, given_length, length = seqs[0]
try:
length = int(length)
given_length = int(given_length)
if length != given_length:
raise ValueError(
f"'length' differs from sequence length, {given_length}, {length}"
)
have_seq = True
except TypeError:
if length is not None:
raise ValueError(f"Expected 'length' to be 'None', got {length}.")
seqs = adaptor.execute_and_fetchall(
"SELECT alphabet, length, seq FROM biosequence WHERE bioentry_id = %s",
(primary_id,),
)
if len(seqs) != 1:
raise ValueError(f"Expected 1 response, got {len(seqs)}.")
moltype, given_length, seq = seqs[0]
if seq:
raise ValueError(f"Expected 'seq' to have a falsy value, got {seq}.")
length = int(given_length)
have_seq = False
del seq
del given_length
if have_seq:
data = _BioSQLSequenceData(primary_id, adaptor, start=0, length=length)
return Seq(data)
else:
return Seq(None, length=length)
def _retrieve_dbxrefs(adaptor, primary_id):
"""Retrieve the database cross references for the sequence (PRIVATE)."""
_dbxrefs = []
dbxrefs = adaptor.execute_and_fetchall(
"SELECT dbname, accession, version"
" FROM bioentry_dbxref join dbxref using (dbxref_id)"
" WHERE bioentry_id = %s"
' ORDER BY "rank"',
(primary_id,),
)
for dbname, accession, version in dbxrefs:
if version and version != "0":
v = f"{accession}.{version}"
else:
v = accession
_dbxrefs.append(f"{dbname}:{v}")
return _dbxrefs
def _retrieve_features(adaptor, primary_id):
sql = (
'SELECT seqfeature_id, type.name, "rank"'
" FROM seqfeature join term type on (type_term_id = type.term_id)"
" WHERE bioentry_id = %s"
' ORDER BY "rank"'
)
results = adaptor.execute_and_fetchall(sql, (primary_id,))
seq_feature_list = []
for seqfeature_id, seqfeature_type, seqfeature_rank in results:
# Get qualifiers [except for db_xref which is stored separately]
qvs = adaptor.execute_and_fetchall(
"SELECT name, value"
" FROM seqfeature_qualifier_value join term using (term_id)"
" WHERE seqfeature_id = %s"
' ORDER BY "rank"',
(seqfeature_id,),
)
qualifiers = {}
for qv_name, qv_value in qvs:
qualifiers.setdefault(qv_name, []).append(qv_value)
# Get db_xrefs [special case of qualifiers]
qvs = adaptor.execute_and_fetchall(
"SELECT dbxref.dbname, dbxref.accession"
" FROM dbxref join seqfeature_dbxref using (dbxref_id)"
" WHERE seqfeature_dbxref.seqfeature_id = %s"
' ORDER BY "rank"',
(seqfeature_id,),
)
for qv_name, qv_value in qvs:
value = f"{qv_name}:{qv_value}"
qualifiers.setdefault("db_xref", []).append(value)
# Get locations
results = adaptor.execute_and_fetchall(
"SELECT location_id, start_pos, end_pos, strand"
" FROM location"
" WHERE seqfeature_id = %s"
' ORDER BY "rank"',
(seqfeature_id,),
)
locations = []
# convert to Python standard form
# Convert strand = 0 to strand = None
# re: comment in Loader.py:
# Biopython uses None when we don't know strand information but
# BioSQL requires something (non null) and sets this as zero
# So we'll use the strand or 0 if Biopython spits out None
for location_id, start, end, strand in results:
if start:
start -= 1
if strand == 0:
strand = None
if strand not in (+1, -1, None):
raise ValueError(
"Invalid strand %s found in database for "
"seqfeature_id %s" % (strand, seqfeature_id)
)
if start is not None and end is not None and end < start:
import warnings
from Bio import BiopythonWarning
warnings.warn(
"Inverted location start/end (%i and %i) for "
"seqfeature_id %s" % (start, end, seqfeature_id),
BiopythonWarning,
)
# For SwissProt unknown positions (?)
if start is None:
start = SeqFeature.UnknownPosition()
if end is None:
end = SeqFeature.UnknownPosition()
locations.append((location_id, start, end, strand))
# Get possible remote reference information
remote_results = adaptor.execute_and_fetchall(
"SELECT location_id, dbname, accession, version"
" FROM location join dbxref using (dbxref_id)"
" WHERE seqfeature_id = %s",
(seqfeature_id,),
)
lookup = {}
for location_id, dbname, accession, version in remote_results:
if version and version != "0":
v = f"{accession}.{version}"
else:
v = accession
# subfeature remote location db_ref are stored as a empty string
# when not present
if dbname == "":
dbname = None
lookup[location_id] = (dbname, v)
feature = SeqFeature.SeqFeature(type=seqfeature_type)
# Store the key as a private property
feature._seqfeature_id = seqfeature_id
feature.qualifiers = qualifiers
if len(locations) == 0:
pass
elif len(locations) == 1:
location_id, start, end, strand = locations[0]
# See Bug 2677, we currently don't record the location_operator
# For consistency with older versions Biopython, default to "".
feature.location_operator = _retrieve_location_qualifier_value(
adaptor, location_id
)
dbname, version = lookup.get(location_id, (None, None))
feature.location = SeqFeature.SimpleLocation(start, end)
feature.strand = strand
feature.ref_db = dbname
feature.ref = version
else:
locs = []
for location in locations:
location_id, start, end, strand = location
dbname, version = lookup.get(location_id, (None, None))
locs.append(
SeqFeature.SimpleLocation(
start, end, strand=strand, ref=version, ref_db=dbname
)
)
# Locations are typically in biological in order (see negative
# strands below), but because of remote locations for
# sub-features they are not necessarily in numerical order:
strands = {_.strand for _ in locs}
if len(strands) == 1 and -1 in strands:
# Evil hack time for backwards compatibility
# TODO - Check if BioPerl and (old) Biopython did the same,
# we may have an existing incompatibility lurking here...
locs = locs[::-1]
feature.location = SeqFeature.CompoundLocation(locs, "join")
# TODO - See Bug 2677 - we don't yet record location operator,
# so for consistency with older versions of Biopython default
# to assuming its a join.
seq_feature_list.append(feature)
return seq_feature_list
def _retrieve_location_qualifier_value(adaptor, location_id):
value = adaptor.execute_and_fetch_col0(
"SELECT value FROM location_qualifier_value WHERE location_id = %s",
(location_id,),
)
try:
return value[0]
except IndexError:
return ""
def _retrieve_annotations(adaptor, primary_id, taxon_id):
annotations = {}
annotations.update(_retrieve_alphabet(adaptor, primary_id))
annotations.update(_retrieve_qualifier_value(adaptor, primary_id))
annotations.update(_retrieve_reference(adaptor, primary_id))
annotations.update(_retrieve_taxon(adaptor, primary_id, taxon_id))
annotations.update(_retrieve_comment(adaptor, primary_id))
return annotations
def _retrieve_alphabet(adaptor, primary_id):
results = adaptor.execute_and_fetchall(
"SELECT alphabet FROM biosequence WHERE bioentry_id = %s", (primary_id,)
)
if len(results) != 1:
raise ValueError(f"Expected 1 response, got {len(results)}.")
alphabets = results[0]
if len(alphabets) != 1:
raise ValueError(f"Expected 1 alphabet in response, got {len(alphabets)}.")
alphabet = alphabets[0]
if alphabet == "dna":
molecule_type = "DNA"
elif alphabet == "rna":
molecule_type = "RNA"
elif alphabet == "protein":
molecule_type = "protein"
else:
molecule_type = None
if molecule_type is not None:
return {"molecule_type": molecule_type}
else:
return {}
def _retrieve_qualifier_value(adaptor, primary_id):
qvs = adaptor.execute_and_fetchall(
"SELECT name, value"
" FROM bioentry_qualifier_value JOIN term USING (term_id)"
" WHERE bioentry_id = %s"
' ORDER BY "rank"',
(primary_id,),
)
qualifiers = {}
for name, value in qvs:
if name == "keyword":
name = "keywords"
# See handling of "date" in Loader.py
elif name == "date_changed":
name = "date"
elif name == "secondary_accession":
name = "accessions"
qualifiers.setdefault(name, []).append(value)
return qualifiers
def _retrieve_reference(adaptor, primary_id):
# XXX dbxref_qualifier_value
refs = adaptor.execute_and_fetchall(
"SELECT start_pos, end_pos, "
" location, title, authors,"
" dbname, accession"
" FROM bioentry_reference"
" JOIN reference USING (reference_id)"
" LEFT JOIN dbxref USING (dbxref_id)"
" WHERE bioentry_id = %s"
' ORDER BY "rank"',
(primary_id,),
)
references = []
for start, end, location, title, authors, dbname, accession in refs:
reference = SeqFeature.Reference()
# If the start/end are missing, reference.location is an empty list
if (start is not None) or (end is not None):
if start is not None:
start -= 1 # python counting
reference.location = [SeqFeature.SimpleLocation(start, end)]
# Don't replace the default "" with None.
if authors:
reference.authors = authors
if title:
reference.title = title
reference.journal = location
if dbname == "PUBMED":
reference.pubmed_id = accession
elif dbname == "MEDLINE":
reference.medline_id = accession
references.append(reference)
if references:
return {"references": references}
else:
return {}
def _retrieve_taxon(adaptor, primary_id, taxon_id):
a = {}
common_names = adaptor.execute_and_fetch_col0(
"SELECT name FROM taxon_name WHERE taxon_id = %s"
" AND name_class = 'genbank common name'",
(taxon_id,),
)
if common_names:
a["source"] = common_names[0]
scientific_names = adaptor.execute_and_fetch_col0(
"SELECT name FROM taxon_name WHERE taxon_id = %s"
" AND name_class = 'scientific name'",
(taxon_id,),
)
if scientific_names:
a["organism"] = scientific_names[0]
ncbi_taxids = adaptor.execute_and_fetch_col0(
"SELECT ncbi_taxon_id FROM taxon WHERE taxon_id = %s", (taxon_id,)
)
if ncbi_taxids and ncbi_taxids[0] and ncbi_taxids[0] != "0":
a["ncbi_taxid"] = ncbi_taxids[0]
# Old code used the left/right values in the taxon table to get the
# taxonomy lineage in one SQL command. This was actually very slow,
# and would fail if the (optional) left/right values were missing.
#
# The following code is based on a contribution from Eric Gibert, and
# relies on the taxon table's parent_taxon_id field only (ignoring the
# optional left/right values). This means that it has to make a
# separate SQL query for each entry in the lineage, but it does still
# appear to be *much* faster. See Bug 2494.
taxonomy = []
while taxon_id:
name, rank, parent_taxon_id = adaptor.execute_one(
"SELECT taxon_name.name, taxon.node_rank, taxon.parent_taxon_id"
" FROM taxon, taxon_name"
" WHERE taxon.taxon_id=taxon_name.taxon_id"
" AND taxon_name.name_class='scientific name'"
" AND taxon.taxon_id = %s",
(taxon_id,),
)
if taxon_id == parent_taxon_id:
# If the taxon table has been populated by the BioSQL script
# load_ncbi_taxonomy.pl this is how top parent nodes are stored.
# Personally, I would have used a NULL parent_taxon_id here.
break
taxonomy.insert(0, name)
taxon_id = parent_taxon_id
if taxonomy:
a["taxonomy"] = taxonomy
return a
def _retrieve_comment(adaptor, primary_id):
qvs = adaptor.execute_and_fetchall(
'SELECT comment_text FROM comment WHERE bioentry_id=%s ORDER BY "rank"',
(primary_id,),
)
comments = [comm[0] for comm in qvs]
# Don't want to add an empty list...
if comments:
return {"comment": comments}
else:
return {}
class DBSeqRecord(SeqRecord):
"""BioSQL equivalent of the Biopython SeqRecord object."""
def __init__(self, adaptor, primary_id):
"""Create a DBSeqRecord object.
Arguments:
- adaptor - A BioSQL.BioSeqDatabase.Adaptor object
- primary_id - An internal integer ID used by BioSQL
You wouldn't normally create a DBSeqRecord object yourself,
this is done for you when using a BioSeqDatabase object
"""
self._adaptor = adaptor
self._primary_id = primary_id
(
self._biodatabase_id,
self._taxon_id,
self.name,
accession,
version,
self._identifier,
self._division,
self.description,
) = self._adaptor.execute_one(
"SELECT biodatabase_id, taxon_id, name, accession, version,"
" identifier, division, description"
" FROM bioentry"
" WHERE bioentry_id = %s",
(self._primary_id,),
)
if version and version != "0":
self.id = f"{accession}.{version}"
else:
self.id = accession
# We don't yet record any per-letter-annotations in the
# BioSQL database, but we should set this property up
# for completeness (and the __str__ method).
# We do NOT want to load the sequence from the DB here!
length = _retrieve_seq_len(adaptor, primary_id)
self._per_letter_annotations = _RestrictedDict(length=length)
def __get_seq(self):
if not hasattr(self, "_seq"):
self._seq = _retrieve_seq(self._adaptor, self._primary_id)
return self._seq
def __set_seq(self, seq):
# TODO - Check consistent with self._per_letter_annotations
self._seq = seq
def __del_seq(self):
del self._seq
seq = property(__get_seq, __set_seq, __del_seq, "Seq object")
def __get_dbxrefs(self):
if not hasattr(self, "_dbxrefs"):
self._dbxrefs = _retrieve_dbxrefs(self._adaptor, self._primary_id)
return self._dbxrefs
def __set_dbxrefs(self, dbxrefs):
self._dbxrefs = dbxrefs
def __del_dbxrefs(self):
del self._dbxrefs
dbxrefs = property(
__get_dbxrefs, __set_dbxrefs, __del_dbxrefs, "Database cross references"
)
def __get_features(self):
if not hasattr(self, "_features"):
self._features = _retrieve_features(self._adaptor, self._primary_id)
return self._features
def __set_features(self, features):
self._features = features
def __del_features(self):
del self._features
features = property(__get_features, __set_features, __del_features, "Features")
def __get_annotations(self):
if not hasattr(self, "_annotations"):
self._annotations = _retrieve_annotations(
self._adaptor, self._primary_id, self._taxon_id
)
if self._identifier:
self._annotations["gi"] = self._identifier
if self._division:
self._annotations["data_file_division"] = self._division
return self._annotations
def __set_annotations(self, annotations):
self._annotations = annotations
def __del_annotations(self):
del self._annotations
annotations = property(
__get_annotations, __set_annotations, __del_annotations, "Annotations"
)