def test_get_bc_count_demux_stats(self):
parser = SampleRunMetricsParser(os.path.join(project_dir, "J.Doe_00_01", "P001_101_index3", "120924_AC003CCCXX"))
bc_count = parser.get_bc_count(**self.sample_kw)
fc_parser = FlowcellRunMetricsParser(self.fcdir)
data = fc_parser.parse_demultiplex_stats_htm(**self.fc_kw)
bc_count = parser.get_bc_count(demultiplex_stats=data, **self.sample_kw)
self.assertEqual(str(bc_count), str(19517198))
def _parse_samplesheet(self, runinfo, qc_objects, fc_date, fc_name, fcdir, as_yaml=False, demultiplex_stats=None):
"""Parse samplesheet information and populate sample run metrics object"""
if as_yaml:
for info in runinfo:
if not info.get("multiplex", None):
self.app.log.warn("No multiplex information for lane {}".format(info.get("lane")))
sample = {}
sample.update({k: info.get(k, None) for k in ('analysis', 'description', 'flowcell_id', 'lane')})
sample_kw = dict(path=fcdir, flowcell=fc_name, date=fc_date, lane=sample.get('lane', None), barcode_name=sample.get('name', None), sample_prj=sample.get('sample_prj', None),
barcode_id=sample.get('barcode_id', None), sequence=sample.get('sequence', "NoIndex"))
for sample in info["multiplex"]:
sample.update({k: info.get(k, None) for k in ('analysis', 'description', 'flowcell_id', 'lane')})
sample_kw = dict(flowcell=fc_name, date=fc_date, lane=sample['lane'], barcode_name=sample['name'], sample_prj=sample.get('sample_prj', None),
barcode_id=sample['barcode_id'], sequence=sample.get('sequence', "NoIndex"))
parser = SampleRunMetricsParser(fcdir)
obj = SampleRunMetricsDocument(**sample_kw)
obj["picard_metrics"] = parser.read_picard_metrics(**sample_kw)
obj["fastq_scr"] = parser.parse_fastq_screen(**sample_kw)
obj["bc_count"] = parser.get_bc_count(**sample_kw)
obj["fastqc"] = parser.read_fastqc_metrics(**sample_kw)
qc_objects.append(obj)
else:
for sample in runinfo[1:]:
LOG.debug("Getting information for sample defined by {}".format(sample))
d = dict(zip(runinfo[0], sample))
if self.app.pargs.project_name and self.app.pargs.project_name != d['SampleProject']:
continue
if self.app.pargs.sample and self.app.pargs.sample != d['SampleID']:
continue
sampledir = os.path.join(os.path.abspath(self._meta.production_root_path), d['SampleProject'].replace("__", "."), d['SampleID'])
if not os.path.exists(sampledir):
self.app.log.warn("No such sample directory: {}".format(sampledir))
continue
sample_fcdir = os.path.join(sampledir, fc_fullname(self.pargs.flowcell))
if not os.path.exists(sample_fcdir):
self.app.log.warn("No such sample flowcell directory: {}".format(sample_fcdir))
continue
if not modified_within_days(sample_fcdir, self.pargs.mtime):
continue
runinfo_yaml_file = os.path.join(sample_fcdir, "{}-bcbb-config.yaml".format(d['SampleID']))
if not os.path.exists(runinfo_yaml_file):
self.app.log.warn("No such yaml file for sample: {}".format(runinfo_yaml_file))
raise IOError(2, "No such yaml file for sample: {}".format(runinfo_yaml_file), runinfo_yaml_file)
with open(runinfo_yaml_file) as fh:
runinfo_yaml = yaml.load(fh)
if not runinfo_yaml['details'][0].get("multiplex", None):
self.app.log.warn("No multiplex information for sample {}".format(d['SampleID']))
continue
sample_kw = dict(flowcell=fc_name, date=fc_date, lane=d['Lane'], barcode_name=d['SampleID'], sample_prj=d['SampleProject'].replace("__", "."), barcode_id=runinfo_yaml['details'][0]['multiplex'][0]['barcode_id'], sequence=runinfo_yaml['details'][0]['multiplex'][0]['sequence'])
parser = SampleRunMetricsParser(sample_fcdir)
obj = SampleRunMetricsDocument(**sample_kw)
obj["picard_metrics"] = parser.read_picard_metrics(**sample_kw)
obj["fastq_scr"] = parser.parse_fastq_screen(**sample_kw)
obj["bc_count"] = parser.get_bc_count(demultiplex_stats=demultiplex_stats, **sample_kw)
obj["fastqc"] = parser.read_fastqc_metrics(**sample_kw)
qc_objects.append(obj)
return qc_objects
def test_get_bc_count_demux_stats(self):
parser = SampleRunMetricsParser(
os.path.join(project_dir, "J.Doe_00_01", "P001_101_index3",
"120924_AC003CCCXX"))
bc_count = parser.get_bc_count(**self.sample_kw)
fc_parser = FlowcellRunMetricsParser(self.fcdir)
data = fc_parser.parse_demultiplex_stats_htm(**self.fc_kw)
bc_count = parser.get_bc_count(demultiplex_stats=data,
**self.sample_kw)
self.assertEqual(str(bc_count), str(19517198))
def upload_analysis(self):
kw = vars(self.pargs)
if not kw.get("flowcell"):
kw["flowcell"] = "TOTAL"
# Get a connection to the analysis database
acon = AnalysisConnection(**kw)
# Traverse the folder hierarchy and determine paths to process
to_process = {}
for pdir in os.listdir(self._meta.root_path):
pdir = os.path.join(self._meta.root_path,pdir)
if not os.path.isdir(pdir):
continue
plist = []
for sdir in [d for d in os.listdir(pdir) if re.match(r'^P[0-9]{3,}_[0-9]+',d)]:
fdir = os.path.join(pdir,sdir,kw.get("flowcell"))
if not os.path.exists(fdir) or not modified_within_days(fdir, self.pargs.mtime):
continue
plist.append(fdir)
if plist:
to_process[os.path.basename(pdir)] = plist
# Collect the data from each folder
for project_name, sdirs in to_process.items():
self.log.info("Processing {}".format(project_name))
samples = {}
for sdir in sdirs:
config = glob.glob(os.path.join(sdir,"*-bcbb-config.yaml"))
if not config:
self.log.error("Could not find sample configuration file in {}. Skipping sample.".format(sdir))
continue
if len(config) > 1:
self.log.warn("Multiple sample configuration files found in {}. Will only use {}.".format(sdir,os.path.basename(config[0])))
# Parse the config file and get the flowcell, lane and index sequence that may be needed to parse
info = {}
sinfos = []
with open(config[0]) as fh:
info = yaml.load(fh)
fcdate = info.get("fc_date")
fcname = info.get("fc_name")
for laneinfo in info.get("details",[]):
for sampleinfo in laneinfo.get("multiplex",[laneinfo]):
linfo = laneinfo
linfo.update(sampleinfo)
name = linfo.get("name",linfo.get("description","unknown"))
m = re.match(r'(P[0-9_]{4,}[0-9])',name)
if m:
name = m.group(1)
sample_kw = {'flowcell': linfo.get("flowcell_id") if not fcname else fcname,
'date': fcdate,
'lane': linfo.get("lane"),
'barcode_name': name,
'sample_prj': linfo.get("sample_prj",project_name),
'barcode_id': linfo.get("barcode_id","1"),
'sequence': linfo.get("sequence","NoIndex")}
sinfos.append(sample_kw)
# Create a parser object and collect the metrics
parser = SampleRunMetricsParser(sdir)
sinfo = sinfos[0]
name = sinfo.get("barcode_name","unknown")
samples[name] = {}
samples[name]["bcbb_checkpoints"] = parser.parse_bcbb_checkpoints(**sinfo)
samples[name]["software_versions"] = parser.parse_software_versions(**sinfo)
samples[name]["project_summary"] = parser.parse_project_summary(**sinfo)
samples[name]["snpeff_genes"] = parser.parse_snpeff_genes(**sinfo)
for sinfo in sinfos:
picard = parser.read_picard_metrics(**sinfo)
if picard:
samples[name]["picard_metrics"] = picard
fq_scr = parser.parse_fastq_screen(**sinfo)
if fq_scr:
samples[name]["fastq_scr"] = fq_scr
fastqc = parser.read_fastqc_metrics(**sinfo)
if fastqc.get("stats"):
samples[name]["fastqc"] = fastqc
gteval = parser.parse_eval_metrics(**sinfo)
if gteval:
samples[name]["gatk_variant_eval"] = gteval
# Store the collected metrics in an analysis document
obj = AnalysisDocument(**{'project_name': project_name,
'name': project_name,
'samples': samples})
dry("Saving object {}".format(repr(obj)), acon.save(obj))
def _parse_samplesheet(self, runinfo, qc_objects, fc_date, fc_name, fcdir, as_yaml=False, demultiplex_stats=None, setup=None):
"""Parse samplesheet information and populate sample run metrics object"""
if as_yaml:
for info in runinfo:
if not info.get("multiplex", None):
self.app.log.warn("No multiplex information for lane {}".format(info.get("lane")))
sample = {}
sample.update({k: info.get(k, None) for k in ('analysis', 'description', 'flowcell_id', 'lane')})
sample_kw = dict(path=fcdir, flowcell=fc_name, date=fc_date, lane=sample.get('lane', None), barcode_name=sample.get('name', None), sample_prj=sample.get('sample_prj', None),
barcode_id=sample.get('barcode_id', None), sequence=sample.get('sequence', "NoIndex"))
for sample in info["multiplex"]:
sample.update({k: info.get(k, None) for k in ('analysis', 'description', 'flowcell_id', 'lane')})
sample_kw = dict(flowcell=fc_name, date=fc_date, lane=sample['lane'], barcode_name=sample['name'], sample_prj=sample.get('sample_prj', None),
barcode_id=sample['barcode_id'], sequence=sample.get('sequence', "NoIndex"))
parser = SampleRunMetricsParser(fcdir)
obj = SampleRunMetricsDocument(**sample_kw)
obj["picard_metrics"] = parser.read_picard_metrics(**sample_kw)
obj["fastq_scr"] = parser.parse_fastq_screen(**sample_kw)
obj["bc_count"] = parser.get_bc_count(run_setup=setup, **sample_kw)
obj["fastqc"] = parser.read_fastqc_metrics(**sample_kw)
obj["bcbb_checkpoints"] = parser.parse_bcbb_checkpoints(**sample_kw)
qc_objects.append(obj)
else:
for d in runinfo:
LOG.debug("Getting information for sample defined by {}".format(d.values()))
if self.app.pargs.project_name and self.app.pargs.project_name != d['SampleProject']:
continue
if self.app.pargs.sample and self.app.pargs.sample != d['SampleID']:
continue
sampledir = os.path.join(os.path.abspath(self._meta.production_root_path), d['SampleProject'].replace("__", "."), d['SampleID'])
if not os.path.exists(sampledir):
self.app.log.warn("No such sample directory: {}".format(sampledir))
continue
sample_fcdir = os.path.join(sampledir, fc_fullname(self.pargs.flowcell))
if not os.path.exists(sample_fcdir):
self.app.log.warn("No such sample flowcell directory: {}".format(sample_fcdir))
continue
if not modified_within_days(sample_fcdir, self.pargs.mtime):
continue
runinfo_yaml_file = os.path.join(sample_fcdir, "{}-bcbb-config.yaml".format(d['SampleID']))
if not os.path.exists(runinfo_yaml_file):
self.app.log.warn("No such yaml file for sample: {}".format(runinfo_yaml_file))
raise IOError(2, "No such yaml file for sample: {}".format(runinfo_yaml_file), runinfo_yaml_file)
with open(runinfo_yaml_file) as fh:
runinfo_yaml = yaml.load(fh)
if not runinfo_yaml['details'][0].get("multiplex", None):
self.app.log.warn("No multiplex information for sample {}".format(d['SampleID']))
runinfo_yaml['details'][0]['multiplex'] = [{'barcode_id': 0, 'sequence': 'NoIndex'}]
sample_kw = dict(flowcell=fc_name, date=fc_date, lane=d['Lane'], barcode_name=d['SampleID'], sample_prj=d['SampleProject'].replace("__", "."), barcode_id=runinfo_yaml['details'][0]['multiplex'][0]['barcode_id'], sequence=runinfo_yaml['details'][0]['multiplex'][0]['sequence'])
parser = SampleRunMetricsParser(sample_fcdir)
obj = SampleRunMetricsDocument(**sample_kw)
obj["picard_metrics"] = parser.read_picard_metrics(**sample_kw)
obj["fastq_scr"] = parser.parse_fastq_screen(**sample_kw)
obj["bc_count"] = parser.get_bc_count(demultiplex_stats=demultiplex_stats, run_setup=setup, **sample_kw)
obj["fastqc"] = parser.read_fastqc_metrics(**sample_kw)
obj["bcbb_checkpoints"] = parser.parse_bcbb_checkpoints(**sample_kw)
qc_objects.append(obj)
return qc_objects
def test_get_bc_count(self):
parser = SampleRunMetricsParser(
os.path.join(project_dir, "J.Doe_00_01", "P001_101_index3",
"120924_AC003CCCXX"))
bc_count = parser.get_bc_count(**self.sample_kw)
self.assertEqual(bc_count, 0)
def test_get_bc_count(self):
parser = SampleRunMetricsParser(
os.path.join(project_dir, "J.Doe_00_01", "P001_101_index3", "120924_AC003CCCXX")
)
bc_count = parser.get_bc_count(**self.sample_kw)
self.assertEqual(bc_count, 0)
def upload_analysis(self):
kw = vars(self.pargs)
if not kw.get("flowcell"):
kw["flowcell"] = "TOTAL"
# Get a connection to the analysis database
acon = AnalysisConnection(**kw)
# Traverse the folder hierarchy and determine paths to process
to_process = {}
for pdir in os.listdir(self._meta.root_path):
pdir = os.path.join(self._meta.root_path, pdir)
if not os.path.isdir(pdir):
continue
plist = []
for sdir in [
d for d in os.listdir(pdir)
if re.match(r'^P[0-9]{3,}_[0-9]+', d)
]:
fdir = os.path.join(pdir, sdir, kw.get("flowcell"))
if not os.path.exists(fdir) or not modified_within_days(
fdir, self.pargs.mtime):
continue
plist.append(fdir)
if plist:
to_process[os.path.basename(pdir)] = plist
# Collect the data from each folder
for project_name, sdirs in to_process.items():
self.log.info("Processing {}".format(project_name))
samples = {}
for sdir in sdirs:
config = glob.glob(os.path.join(sdir, "*-bcbb-config.yaml"))
if not config:
self.log.error(
"Could not find sample configuration file in {}. Skipping sample."
.format(sdir))
continue
if len(config) > 1:
self.log.warn(
"Multiple sample configuration files found in {}. Will only use {}."
.format(sdir, os.path.basename(config[0])))
# Parse the config file and get the flowcell, lane and index sequence that may be needed to parse
info = {}
sinfos = []
with open(config[0]) as fh:
info = yaml.load(fh)
fcdate = info.get("fc_date")
fcname = info.get("fc_name")
for laneinfo in info.get("details", []):
for sampleinfo in laneinfo.get("multiplex", [laneinfo]):
linfo = laneinfo
linfo.update(sampleinfo)
name = linfo.get("name",
linfo.get("description", "unknown"))
m = re.match(r'(P[0-9_]{4,}[0-9])', name)
if m:
name = m.group(1)
sample_kw = {
'flowcell':
linfo.get("flowcell_id") if not fcname else fcname,
'date':
fcdate,
'lane':
linfo.get("lane"),
'barcode_name':
name,
'sample_prj':
linfo.get("sample_prj", project_name),
'barcode_id':
linfo.get("barcode_id", "1"),
'sequence':
linfo.get("sequence", "NoIndex")
}
sinfos.append(sample_kw)
# Create a parser object and collect the metrics
parser = SampleRunMetricsParser(sdir)
sinfo = sinfos[0]
name = sinfo.get("barcode_name", "unknown")
samples[name] = {}
samples[name][
"bcbb_checkpoints"] = parser.parse_bcbb_checkpoints(
**sinfo)
samples[name][
"software_versions"] = parser.parse_software_versions(
**sinfo)
samples[name][
"project_summary"] = parser.parse_project_summary(**sinfo)
samples[name]["snpeff_genes"] = parser.parse_snpeff_genes(
**sinfo)
for sinfo in sinfos:
picard = parser.read_picard_metrics(**sinfo)
if picard:
samples[name]["picard_metrics"] = picard
fq_scr = parser.parse_fastq_screen(**sinfo)
if fq_scr:
samples[name]["fastq_scr"] = fq_scr
fastqc = parser.read_fastqc_metrics(**sinfo)
if fastqc.get("stats"):
samples[name]["fastqc"] = fastqc
gteval = parser.parse_eval_metrics(**sinfo)
if gteval:
samples[name]["gatk_variant_eval"] = gteval
# Store the collected metrics in an analysis document
obj = AnalysisDocument(
**{
'project_name': project_name,
'name': project_name,
'samples': samples
})
dry("Saving object {}".format(repr(obj)), acon.save(obj))
