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parse.py
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import os, re, datetime, json, csv
from Bio import SeqIO
from Bio import Entrez
import requests
class parse(object):
def __init__(self, **kwargs):
if 'accessions' in kwargs:
self.accessions = kwargs['accessions']
self.gbdb = "nuccore"
def entrez_email(self, email, **kwargs):
#define email for entrez login
if email is not None:
self.email = email
elif 'NCBI_EMAIL' in os.environ:
self.email = os.environ['NCBI_EMAIL']
else:
raise Exception("Missing NCBI email")
Entrez.email = self.email
def parse(self, path, fname, ftype, email, **kwargs):
if self.accessions is not None:
accessions = [acc.strip() for acc in self.accessions.split(",")]
self.entrez_email(email)
gi = self.get_GIs(accessions)
viruses, sequences = self.get_entrez_viruses(gi, **kwargs)
elif ftype is not None and fname is not None:
if ftype == 'genbank':
viruses, sequences = self.parse_gb_file(path + fname, **kwargs)
elif ftype == 'accession':
accessions = self.parse_accession_file(path + fname, **kwargs)
self.entrez_email(email)
gi = self.get_GIs(accessions)
viruses, sequences = self.get_entrez_viruses(gi, **kwargs)
elif ftype == 'fasta':
viruses, sequences = self.parse_fasta_file(path + fname, **kwargs)
elif ftype == 'tsv':
viruses, sequences = self.parse_tsv_file(path + fname, **kwargs)
print("Parsed " + str(len(viruses)) + " viruses and " + str(len(sequences)) + " sequences from file " + path+fname)
else:
raise Exception("No input file name and type defined or accessions given")
return (viruses, sequences)
def fix_casing(self, v):
'''
force lower case on fields besides strain, title, authors
'''
for field in v:
if field in ['strain', 'title', 'authors', 'accession']:
pass
elif v[field] is not None and isinstance(v[field], str):
v[field] = v[field] = v[field].lower().replace(' ', '_')
def fix_boolean(self, v):
'''
replace strings of "true" and "false" with proper booleans
'''
for field in v:
if v[field] is not None:
if v[field] == "true":
v[field] = True
if v[field] == "false":
v[field] = False
def parse_fasta_file(self, fasta, virus_fasta_fields, sequence_fasta_fields, **kwargs):
'''
Parse FASTA file with default header formatting
:return: list of documents(dictionaries of attributes) to upload
'''
header_fixes = False
if (kwargs["fasta_header_fix"]):
header_fixes = {}
try:
with open(kwargs["fasta_header_fix"], 'rU') as fh:
for line in fh:
if not line.startswith('#'):
k, v = line.strip().split("\t")
header_fixes[k] = v
except IOError:
raise Exception(kwargs["fasta_header_fix"], "not found")
viruses = []
sequences = []
try:
handle = open(fasta, 'r')
except IOError:
raise Exception(fasta, "not found")
else:
for record in SeqIO.parse(handle, "fasta"):
if header_fixes:
try:
record.description = header_fixes[record.description]
except KeyError:
raise Exception(record.description, "not in header fix file. Fatal.")
content = list(map(lambda x: x.strip(), record.description.replace(">", "").split('|')))
v = {key: content[ii] if ii < len(content) else "" for ii, key in virus_fasta_fields.items()}
s = {key: content[ii] if ii < len(content) else "" for ii, key in sequence_fasta_fields.items()}
s['sequence'] = str(record.seq).lower()
v = self.add_virus_fields(v, **kwargs)
s = self.add_sequence_fields(s, **kwargs)
sequences.append(s)
viruses.append(v)
handle.close()
return (viruses, sequences)
def parse_tsv_file(self, tsv, **kwargs):
'''
Parse TSV file with default field ordering
This is the same ordering as specified in 'fasta_fields'
:return: list of documents(dictionaries of attributes) to upload
'''
import csv
viruses = []
try:
os.path.isfile(tsv)
except IOError:
raise Exception(tsv, "not found")
else:
with open(tsv) as infile:
table_reader = csv.reader(infile, delimiter="\t")
header = {i: element for i, element in enumerate(next(table_reader), 0)}
for row in table_reader:
v = {key: row[ii] if ii < len(row) else "" for ii, key in header.items()}
self.add_virus_fields(v, **kwargs)
self.fix_casing(v)
self.fix_boolean(v)
viruses.append(v)
return viruses
def parse_gb_file(self, gb, **kwargs):
'''
Parse genbank file
:return: list of documents(dictionaries of attributes) to upload
'''
try:
handle = open(gb, 'r')
except IOError:
raise Exception(gb, "not found")
else:
return self.parse_gb_entries(handle, **kwargs)
def parse_accession_file(self, acc, **kwargs):
'''
Parse file for list of accession numbers to be uploaded to vdb
:return: list of documents(dictionaries of attributes) to upload
'''
try:
handle = open(acc, 'r')
except IOError:
raise Exception(acc, "not found")
else:
accessions = []
for acc in handle:
accessions.append(acc.strip())
return accessions
def add_virus_fields(self, v, host, country, **kwargs):
'''
add fields to the viruses defined at the command line
'''
if 'host' not in v and host is not None:
if host == 'null' or host == 'none' or host == 'None':
v['host'] = None
else:
v['host'] = host
if 'country' not in v and country is not None:
if country == 'null' or country == 'none' or country == 'None':
v['country'] = None
else :
v['country'] = country
v['virus'] = self.virus
v['timestamp'] = self.rethink_io.get_upload_timestamp()
v['virus_inclusion_date'] = self.rethink_io.get_upload_date()
v['sequences'] = []
v['number_sequences'] = 0
return v
def add_sequence_fields(self, v, locus, authors, title, source, url, public=True, **kwargs):
'''
add fields to the sequences defined aat the commandline
'''
if 'locus' not in v and locus is not None:
if locus == 'null' or locus == 'none' or locus == 'None':
v['locus'] = None
else:
v['locus'] = locus
if 'authors' not in v and authors is not None:
if authors == 'null' or authors == 'none' or authors == 'None':
v['authors'] = None
else:
v['authors'] = authors
if 'title' not in v and title is not None:
if title == 'null' or title == 'none' or title == 'None':
v['title'] = None
else:
v['title'] = title
if 'source' not in v and source is not None:
if source == 'null' or source == 'none' or source == 'None':
v['source'] = None
else:
v['source'] = source
if 'url' not in v and url is not None:
if url == 'null' or url == 'none' or url == 'None':
v['url'] = None
else:
v['url'] = url
if 'public' not in v and public is not None:
v['public'] = public
v['virus'] = self.virus
v['timestamp'] = self.rethink_io.get_upload_timestamp()
v['sequence_inclusion_date'] = self.rethink_io.get_upload_date()
return v
def get_GIs(self, accessions, n_entrez=2500, **kwargs):
'''
Use entrez esearch to get genbank identifiers from accession numbers
'''
retmax = 10**5 # max records to retrieve at once; 10^5 is documented limit, but >2500 reproducibly throws errors
queries = []
giList = []
for i in sorted(range(0, len(accessions), n_entrez)): # split accessions list into 2500-long portions
queries.append(" ".join(accessions[i:i+n_entrez])) # convert list to ' ' separated string
assert sum([len(q.split()) for q in queries]) == len(accessions) # sanity check
for q in queries:
handle = Entrez.esearch(db=self.gbdb, term=q, retmax=retmax) # retrieve xml of search results
giList += Entrez.read(handle)['IdList'] # pull GI numbers from handle
return giList
def get_entrez_viruses(self, giList, **kwargs):
'''
Use entrez efetch to get genbank entries from genbank identifiers
'''
## define batch size for download
batchSize = 100
# post NCBI query
try:
search_handle = Entrez.epost(db=self.gbdb, id=",".join(giList))
search_results = Entrez.read(search_handle)
webenv, query_key = search_results["WebEnv"], search_results["QueryKey"]
except:
print("ERROR: Couldn't connect with entrez, please run again")
viruses = []
sequences = []
#fetch all results in batch of batchSize entries at once
for start in range(0,len(giList),batchSize):
#fetch entries in batch
try:
handle = Entrez.efetch(db=self.gbdb, rettype="gb", retstart=start, retmax=batchSize, webenv=webenv, query_key=query_key)
except IOError:
print("ERROR: Couldn't connect with entrez, please run again")
else:
result = self.parse_gb_entries(handle, **kwargs)
viruses.extend(result[0])
sequences.extend(result[1])
return (viruses, sequences)
def parse_gb_entries(self, handle, **kwargs):
'''
Go through genbank records to get relevant virus information
'''
viruses, sequences = [], []
SeqIO_records = SeqIO.parse(handle, "genbank")
for record in SeqIO_records:
v = {}
s = {}
s['source'] = 'genbank'
s['accession'] = re.match(r'^([^.]*)', record.id).group(0).upper() # get everything before the '.'?
s['sequence'] = str(record.seq).lower()
# set up as none and overwrite
s["title"] = None
s['authors'] = None
s["puburl"] = None
s["journal"] = None
print("Processing genbank file for " + s['accession'])
# all the references (i.e. the papers / direct-submission notes)
references = record.annotations["references"]
if len(references):
# is there a reference which is not a "Direct Submission"?
titles = [reference.title for reference in references]
try:
idx = [i for i, j in enumerate(titles) if j is not None and j != "Direct Submission"][0]
except IndexError: # fall back to direct submission
idx = [i for i, j in enumerate(titles) if j is not None][0]
reference = references[idx] # <class 'Bio.SeqFeature.Reference'>
keys = reference.__dict__.keys()
s['title'] = reference.title
if "authors" in keys and reference.authors:
first_author = re.match(r'^([^,]*)', reference.authors).group(0)
s['authors'] = first_author + " et al"
if "journal" in keys and reference.journal:
s['journal'] = reference.journal
if "pubmed_id" in keys and reference.pubmed_id:
s["puburl"] = "https://www.ncbi.nlm.nih.gov/pubmed/" + reference.pubmed_id
else:
print("Couldn't find the reference for " + s['accession'])
# print(" *** Accession: {} title: {} authors: {} journal: {} paperURL: {}".format(s['accession'], s['title'], s['authors'], s['journal'], s['puburl']))
s['url'] = "https://www.ncbi.nlm.nih.gov/nuccore/" + s['accession']
#s['url'] = self.get_doi_url(url, s['title'], first_author)
record_features = record.features
for feat in record_features:
if feat.type == 'source':
qualifiers = feat.qualifiers
if 'collection_date' in qualifiers:
v['collection_date'] = self.convert_gb_date(qualifiers['collection_date'][0])
if 'country' in qualifiers:
v['country'] = re.match(r'^([^:]*)', qualifiers['country'][0]).group(0)
if 'strain' in qualifiers:
v['strain'] = qualifiers['strain'][0]
s['strain'] = qualifiers['strain'][0]
elif 'isolate' in qualifiers:
v['strain'] = qualifiers['isolate'][0]
s['strain'] = qualifiers['isolate'][0]
else:
print("Couldn't parse strain name for " + s['accession'])
v = self.add_virus_fields(v, **kwargs)
s = self.add_sequence_fields(s, **kwargs)
viruses.append(v)
sequences.append(s)
#self.fix_casing(v)
#self.fix_boolean(v)
handle.close()
print(str(len(viruses)) + " genbank entries parsed")
return (viruses, sequences)
def get_doi_url(self, url, title, author):
'''
Use crossref api to look for matching title and author name to link to DOI
Depcrecated for the moment. Crossref was hanging randomly.
'''
if title is not None:
num = str(2)
print("Calling crossref for " + url)
response = json.loads(requests.get('http://api.crossref.org/works?query=%' + title + '%22&rows=' + num).text)
items = response['message']['items']
for item in items:
if 'title' in item and item['title'][0] == title:
if 'author' in item and item['author'][0]['family'] == author:
if 'DOI' in item:
url = 'http://dx.doi.org/' + item['DOI']
return url
def convert_gb_date(self, collection_date):
'''
Converts calendar dates between given formats
'''
N_fields = len(collection_date.split('-'))
if N_fields == 1:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%Y'), '%Y-XX-XX')
elif N_fields == 2:
if collection_date.split('-')[0].isdigit():
if int(collection_date.split('-')[0]) < 13:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%m-%Y'), '%Y-%m-XX')
else:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%Y-%m'), '%Y-%m-XX')
else:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%b-%Y'), '%Y-%m-XX')
elif N_fields == 3:
if int(collection_date.split('-')[0]) < 32:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%d-%b-%Y'), '%Y-%m-%d')
else:
return datetime.datetime.strftime(datetime.datetime.strptime(collection_date,'%Y-%m-%d'), '%Y-%m-%d')
def get_upload_date(self):
return str(datetime.datetime.strftime(datetime.datetime.now(),'%Y-%m-%d'))