def validate_run(self, log, info, run_code, out):
if "No decoys with label DECOY_ were found" in out:
raise RuntimeError("No DECOY_s found in fasta. Please use other fasta!")
validation.check_stdout(log, out)
validation.check_exitcode(log, run_code)
validation.check_xml(log, info[Keys.PEPXML])
return info
def validate_run(self, log, info, exit_code, stdout):
if 'max_rt_diff = self._stdev_max_rt_per_run * tr_data.getStdev(source, target)' in stdout:
raise RuntimeError("No peptides found which are shared between all runs. Try to increase FDR.")
validation.check_stdout(log, stdout)
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['ALIGNMENT_TSV'])
validation.check_file(log, info['ALIGNMENT_YAML'])
out2log = os.path.join(info[Keys.WORKDIR], "feature_alignment.out.txt")
f = open(out2log, "w")
f.write(stdout)
f.close()
info["ALIGNER_STDOUT"] = out2log
for line in stdout.splitlines():
if "We were able to quantify " in line:
aligned = int(line.split()[13])
before = int(line.split()[19])
if aligned<before/2:
log.warn("Much less features after alignment than before!")
# Move out .tr files of pyprophet to be rescue safe
info["TRAFO_FILES"] = []
for fil in info["MPROPHET_TSV"]:
trfile = glob.glob(os.path.dirname(fil) + "/*.tr")
if len(trfile) != 1:
raise RuntimeError("More than one .tr file for " + fil)
basename = os.path.basename(trfile[0])
tgt = os.path.join(info['WORKDIR'], basename)
log.debug("Moved tr file %s into WORKDIR" % basename)
shutil.move(trfile[0], tgt)
info["TRAFO_FILES"].append(tgt)
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_stdout(log,stdout)
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['SPLIB'])
validation.check_file(log, info['TSV'])
validation.check_xml(log, info['TRAML'])
return info
def validate_run(self, log, info, exit_code, stdout):
if "Warning - no spectra searched" in stdout:
raise RuntimeError("No spectra in mzXML!")
check_stdout(log, stdout)
check_exitcode(log, exit_code)
check_xml(log, info[Keys.PEPXML])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log, exit_code)
for i in info['APMS_OUT']:
validation.check_file(log, i)
return info
def validate_run(self, log, info, run_code, out):
for line in out.splitlines():
if "OpenMS peak type estimation indicates that this is not profile data!" in line:
raise RuntimeError("Found centroid data but LFQ must be run on profile mode data!")
validation.check_stdout(log, out)
validation.check_exitcode(log, run_code)
validation.check_xml(log, info['FEATUREXML'])
return info
def validate_run(self, log, info, exit_code, out):
validation.check_exitcode(log, exit_code)
if 'Valid models = 0' in out:
raise RuntimeError('No valid model found')
validation.check_xml(log, info[Keys.PEPXML])
return info
def validate_run(self, log, info, exit_code, stdout):
# Double check "Spectrast finished ..."
if not " without error." in stdout:
raise RuntimeError("SpectraST finished with some error!")
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['SPLIB'])
return info
def validate_run(self, log, info, exit_code, stdout):
if exit_code == -8:
raise RuntimeError("iProphet failed most probably because too few peptides were found in the search before")
for line in stdout.splitlines():
if 'fin: error opening' in line:
raise RuntimeError("Could not read the input file " + line)
validation.check_exitcode(log, exit_code)
validation.check_xml(log, info[Keys.PEPXML])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log, exit_code)
for msg in ['Error:','did not find any InterProphet results in input data!',
'no data - quitting',
'WARNING: No database referenced']:
if msg in stdout:
raise RuntimeError('ProteinProphet error [%s]' % msg)
validation.check_xml(log, info[Keys.PROTXML])
return info
def validate_run(self, log, info, exit_code, stdout):
log.debug("Cp validation")
# self checked
if "No such file" in stdout:
raise RuntimeError("Inputfile not found")
if "Permission denied" in stdout:
raise RuntimeError("Was not allowed to read inputfile. Need more rights")
# validation util
validation.check_file(log, info["COPY"])
validation.check_exitcode(log, exit_code)
return info
def validate_run(self, log, info, exit_code, stdout):
check_exitcode(log,exit_code)
respiv = pso.concat_all_MHC_outputs(self.outfiles, self.df)
imageloc = os.path.join(info[Keys.WORKDIR], 'heatmap.png')
self.plot_heatmap(respiv, imageloc)
info['NETMHC_OUT'] = os.path.join(info[Keys.WORKDIR], 'netmhccons.output.tsvh')
respiv.to_csv(info ['NETMHC_OUT'], sep="\t")
# get all the generated outptuts
return info
def validate_run(self, log, info, exit_code, stdout):
check_exitcode(log, exit_code)
weblogoexe = info['WEBLOGO']
weblogoinputs = []
for file in self.outfiles:
weblogoinputs += fixStupidGibbsclusterFile(file, file + "out")
commands = runweblogo_on_files(weblogoexe, weblogoinputs)
self.execute_run(log, info, commands)
return info
def validate_run(self, log, info, exit_code, stdout):
check_exitcode(log, exit_code)
folders = map(os.path.dirname, self.outfiles)
ufold = list(set(folders))
info['NETMHC_OUT'] = []
for fold in ufold:
files = [x for x in self.outfiles if os.path.dirname(x) in fold]
respiv = pso.concat_all_MHC_outputs(files, self.iprophet)
outfile = os.path.join(fold, 'netmhccons.output.csv')
respiv.to_csv(outfile, sep="\t")
info['NETMHC_OUT'] += outfile
return info
def validate_run(self, info, exit_code, stdout):
logging.debug("Cp validation")
#self checked
if "No such file" in stdout:
raise RuntimeError("Inputfile not found")
if "Permission denied" in stdout:
raise RuntimeError(
"Was not allowed to read inputfile. Need more rights")
#validation util
validation.check_file(info['COPY'])
validation.check_exitcode(exit_code)
return info
def validate_run(self, log, info, exit_code, stdout):
if info['RUNRT'] == 'True':
# Spectrast imports sample *whitout error* when no iRTs are found. Thus look for "Comment:" entries without
# iRT= attribute in splib
notenough = set()
for line in open(info['SPLIB']).readlines():
if "Comment:" in line and not "iRT=" in line:
samplename = re.search("RawSpectrum=([^\.]*)\.", line).group(1)
notenough.add(samplename)
if notenough:
log.error("No/not enough iRT peptides found in sample(s): " + ", ".join(notenough))
#when irt.txt not readable: PEPXML IMPORT: Cannot read landmark table. No RT normalization will be performed.
rtcalibfailed = False
for line in open(info['SPLOG']).readlines():
if "Cannot read landmark table" in line:
log.error("Problem with reading rtkit file %s!"%info['RTKIT'])
rtcalibfailed = True
# Parse logfile to see whether R^2 is high enough. Example log for failed calibration (line 3 only when <0.9):
# PEPXML IMPORT: RT normalization by linear regression. Found 10 landmarks in MS run "CHLUD_L110830_21".
# PEPXML_IMPORT: Final fitted equation: iRT = (rRT - 1758) / (8.627); R^2 = 0.5698; 5 outliers removed.
# ERROR PEPXML_IMPORT: R^2 still too low at required coverage. No RT normalization performed. Consider...
rsqlow = False
for line in open(info['SPLOG']).readlines():
if "Final fitted equation:" in line:
samplename = prevline.strip().split(" ")[-1]
rsq = line.split()[-4].replace(";", "")
if float(rsq) < float(info['RSQ_THRESHOLD']):
log.error(
"R^2 of %s is below threshold of %s for %s" % (rsq, info['RSQ_THRESHOLD'], samplename))
rsqlow = True
else:
log.debug("R^2 of %s is OK for %s" % (rsq, samplename))
else:
prevline = line
# Raise only here to have all errors shown
if rsqlow or rtcalibfailed or notenough:
raise RuntimeError("Error in iRT calibration.")
# Double check "Spectrast finished ..."
if not " without error." in stdout:
raise RuntimeError("SpectraST finished with some error!")
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['SPLIB'])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_stdout(log, stdout)
validation.check_exitcode(log, exit_code)
base = os.path.join(info[Keys.WORKDIR], os.path.splitext(os.path.basename(info['FEATURETSV']))[0])
info['MPROPHET_TSV'] = base + "_with_dscore_filtered.csv"
validation.check_file(log, info['MPROPHET_TSV'])
prophet_stats = []
for end in ["_full_stat.csv", "_scorer.bin", "_weights.txt", "_report.pdf", "_dscores_top_target_peaks.txt",
"_dscores_top_decoy_peaks.txt"]:
f = base + end
if os.path.exists(f):
prophet_stats.append(f)
if prophet_stats:
info['MPROPHET_STATS'] = prophet_stats
return info
def validate_run(self, log, info, exit_code, stdout):
for line in stdout.splitlines():
# Determined there to be 35792 SWATH windows and in total 6306 MS1 spectra
if 'Determined there to be' in line:
no_swathes = float(line.split()[4])
if no_swathes > 128:
raise RuntimeError('This is a DDA sample, not SWATH!')
if 'is below limit of ' in line:
raise RuntimeError("iRT calibration failed: " + line)
# validation.check_stdout(log,stdout)
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['FEATURETSV'])
if os.path.getsize(info['FEATURETSV']) < 1000:
raise RuntimeError("No peak found, output is empty!")
if 'CHROM_MZML' in info:
#don't use check_xml() because of .gz
validation.check_file(log, info['CHROM_MZML'])
return info
def validate_run(self, log, info, run_code, out):
validation.check_exitcode(log,run_code)
if info["DB_SOURCE"] == "BioDB":
log.info("Database remains " + info["DBASE"])
else:
f = open(self.rfile)
found = False
for line in f.readlines():
#if info['DB_TYPE'].lower in line.lower():
if '.fasta' in line.lower() or '.txt' in line.lower():
info['DBASE'] = line.split()[1]
log.info("Database found " + info["DBASE"])
found = True
if '.traml' in line.lower():
info['TRAML'] = line.split()[1]
log.info("TraML found " + info["TRAML"])
found = True
f.close()
if not found:
log.error("No matching database (.fasta or .traml) found in dataset!")
return info
return info
def validate_run(self, log, info, exit_code, out):
if "TypeError: expected str or unicode but got <type 'NoneType'>" in out:
raise RuntimeError("Dataset is archived. Please unarchive first!")
validation.check_exitcode(log, exit_code)
#KEY where to store downloaded file paths
default_keys = {'getmsdata': 'MZXML', 'getexperiment': 'SEARCH', 'getdataset': 'DSSOUT'}
key = default_keys[info[Keys.EXECUTABLE]]
#VALUE is a list of files or the mzXMLlink
dsfls = []
with open(self.rfile) as f:
for downloaded in [line.strip() for line in f.readlines()]:
ds, fl = downloaded.split("\t")
if ds == info[Keys.DATASET_CODE] or ds == info['EXPERIMENT']:
dsfls.append(fl)
#MZXML is expected only 1
if key == 'MZXML':
dsfls = dsfls[0]
log.debug("Adding %s to %s" % (dsfls, key))
info[key] = dsfls
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log, exit_code)
validation.check_xml(log, info['PROTXML'])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_stdout(log, stdout)
validation.check_exitcode(log, exit_code)
if info.get('DO_CHROMML_REQUANT', "") != "false":
validation.check_file(log, info['REQUANT_TSV'])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log, exit_code)
validation.check_stdout(log,stdout)
validation.check_xml(log, info[Keys.PEPXML])
return info
def validate_run(cls, info, exit_code, out):
"""validate the run."""
if out:
logging.debug("out set, not used: %s", out)
validation.check_exitcode(exit_code)
return info
def validate_run(self, log, info, run_code, stdout):
validation.check_exitcode(log, run_code)
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log,exit_code)
validation.check_file(log,info['TRAML_CSV'])
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_exitcode(log, exit_code)
validation.check_stdout(log, stdout)
return info
def validate_run(self, info, exit_code, stdout):
validation.check_file(info['FILE'])
validation.check_exitcode(exit_code)
return info
def validate_run(cls, info, exit_code, stdout):
"""Validate the run."""
validation.check_exitcode(exit_code)
validation.check_stdout(stdout)
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_file(log, info['FILE'])
validation.check_exitcode(log, exit_code)
return info
def validate_run(self, log, info, exit_code, stdout):
validation.check_stdout(log,stdout)
validation.check_exitcode(log, exit_code)
validation.check_file(log, info['ALIGNMENT_MATRIX'])
return info
