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fastqc_parser.py
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193 lines (136 loc) · 5.22 KB
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from __future__ import unicode_literals
import re
import logging
import StringIO
from decimal import Decimal
log = logging.getLogger(__name__)
PASS_RESULT="pass"
WARN_RESULT="warn"
FAIL_RESULT="fail"
RESULTS = {
PASS_RESULT: PASS_RESULT,
WARN_RESULT: WARN_RESULT,
FAIL_RESULT: FAIL_RESULT
}
EXPECTED_MODULES = [
"Basic Statistics",
"Per base sequence quality",
"Per sequence quality scores",
"Per base sequence content",
"Per base GC content",
"Per sequence GC content",
"Per base N content",
"Sequence Length Distribution",
"Sequence Duplication Levels",
"Overrepresented sequences",
"Kmer Content",
]
class FastQCParser(object):
def __init__(self, filename = None, content = None):
self.modules = dict()
self.module_results = dict()
if filename:
self.input = open(filename, 'r')
elif content:
self.input = StringIO.StringIO(content)
else:
raise ValueError('FastQCParser requires a filename or content')
self._parse()
self.input.close()
def _parse(self):
self._parse_version()
line = self.input.readline()
while line:
self._parse_module_content(line)
line = self.input.readline()
def _parse_version(self):
line = self.input.readline().strip()
m = re.match('##FastQC\t(?P<version>[0-9a-z.]+)', line)
if m:
self.version = m.group('version')
log.debug("Version: %s" % self.version)
else:
self.version = None
log.error("Could not find version")
return
def _parse_module_content(self, line):
m = re.match('>>(?P<modulename>[-a-zA-Z 0-9%]+)\t(?P<result>pass|warn|fail)', line)
if not m:
log.error("Could not find module name for %s" % line)
return
modulename = m.group('modulename')
result = m.group('result')
log.debug("Module: %s (%s)" % (modulename, result))
# ensure we are using the values defined as constants
self.module_results[modulename] = RESULTS[result]
content = []
line = self.input.readline()
while not line.startswith(">>END_MODULE"):
content.append(line)
line = self.input.readline()
self.modules[modulename] = {'raw_content': content}
return
def _parse_module_table(self, modulename):
if not modulename in self.modules:
log.error("%s does not exist in modules list" % modulename)
return None
lines = self.modules[modulename]['raw_content']
# want these to be present even if they are empty
self.modules[modulename]['table'] = None
self.modules[modulename]['info_values'] = None
self.modules[modulename]['table_headers'] = None
# some modules that pass end up having no data; return early
if len(lines) == 0:
return None
infolines = []
# gather up all information lines because of Sequence Duplication Levels
start_table = 0
for line in lines:
if line.startswith("#"):
infolines.append(line)
start_table+=1
else:
break
if not infolines:
log.error("Header does not exist for %s content" % modulename)
return None
infovalues = {}
if len(infolines) > 1:
for infoline in infolines[:-1]:
values = infoline.lstrip("#").rstrip().split("\t")
infovalues[values[0]] = values[1]
self.modules[modulename]['info_values'] = infovalues
# table header is always the last infoline
header = infolines[-1]
header_values = header.lstrip("#").rstrip().split("\t")
self.modules[modulename]['table_headers'] = header_values
table = list()
for values in lines[start_table:]:
table.append(dict(zip(header_values, values.strip().split("\t"))))
self.modules[modulename]['table'] = table
return table
def get_module_table(self, modulename):
if 'table' in self.modules[modulename]:
return self.modules[modulename]['table']
else:
return self._parse_module_table(modulename)
def get_module_table_headers(self, modulename):
if 'table_headers' in self.modules[modulename]:
return self.modules[modulename]['table_headers']
else:
self._parse_module_table(modulename)
return self.modules[modulename]['table_headers']
def get_module_info_values(self, modulename):
if 'info_values' in self.modules[modulename]:
return self.modules[modulename]['info_values']
else:
self._parse_module_table(modulename)
return self.modules[modulename]['info_values']
def get_total_percent_overrepresented_sequences(self):
overrepresented_sequences = self.get_module_table("Overrepresented sequences")
total = Decimal('0.0')
if not overrepresented_sequences:
return total
for row in overrepresented_sequences:
total += Decimal(row['Percentage'])
return total