def __init__(self,
d_directory_location,
analyzer='ICR',
instrument_label='15T',
auto_process=True,
auto_noise=True,
keep_profile=False):
Thread.__init__(self)
d_directory_location = Path(d_directory_location)
if not d_directory_location.exists():
raise FileNotFoundError("File does not exist: " +
str(d_directory_location))
self.scan_attr = d_directory_location / "scan.xml"
if not self.scan_attr.exists():
raise FileExistsError(
"%s does not seem to be a valid Solarix Mass Spectra Experiment,\
maybe an Imaging experiment?\
please ReadBruker_SolarixTransientImage class for Imaging dataset "
% d_directory_location)
self.lcms = LCMSBase(d_directory_location, analyzer, instrument_label)
self.auto_process = auto_process
self.auto_noise = auto_noise
self.keep_profile = keep_profile
def __init__(self,
file_location,
analyzer='Unknown',
instrument_label='Unknown'):
"""
# Parameters
----------
file_location: text, pathlib.Path(), or s3path.S3Path
Path object from pathlib containing the file location
"""
if isinstance(file_location, str):
# if obj is a string it defaults to create a Path obj, pass the S3Path if needed
file_location = Path(file_location)
if not file_location.exists():
raise FileNotFoundError("%s not found" % file_location)
if not file_location.suffix == '.corems':
raise TypeError("%s is not a valid CoreMS file" % file_location)
Thread.__init__(self)
ReadCoremsMasslist.__init__(self, file_location)
self.lcms = LCMSBase(self.file_location,
analyzer=analyzer,
instrument_label=instrument_label)
def __init__(self, d_directory_location, analyzer='ICR', instrument_label='15T',
auto_process=True, auto_noise=True, keep_profile=False):
"""
# Parameters
----------
file_location: text, pathlib.Path(), or s3path.S3Path
Path object from pathlib containing the file location
"""
Thread.__init__(self)
if isinstance(d_directory_location, str):
# if obj is a string it defaults to create a Path obj, pass the S3Path if needed
d_directory_location = Path(d_directory_location)
if not d_directory_location.exists():
raise FileNotFoundError("File does not exist: " + str(d_directory_location))
self.scan_attr = d_directory_location / "scan.xml"
if not self.scan_attr.exists():
raise FileExistsError("%s does not seem to be a valid Solarix Mass Spectra Experiment,\
maybe an Imaging experiment?\
please ReadBruker_SolarixTransientImage class for Imaging dataset " % d_directory_location)
self.lcms = LCMSBase(d_directory_location, analyzer, instrument_label)
self.auto_process = auto_process
self.auto_noise = auto_noise
self.keep_profile = keep_profile
def __init__(self, file_location):
Thread.__init__(self)
ReadCoreMSHDF_MassSpectrum.__init__(self, file_location)
self.lcms = LCMSBase(self.file_location)
self.list_scans = sorted([int(i) for i in list(self.h5pydata.keys())])
def __init__(self, file_location, analyzer='Unknown', instrument_label='Unknown'):
if not Path(file_location).exists:
raise FileNotFoundError("%s not found" % file_location)
if not Path(file_location).suffix == '.corems':
raise TypeError("%s is not a valid CoreMS file" % file_location)
Thread.__init__(self)
ReadCoremsMasslist.__init__(self, file_location)
self.lcms = LCMSBase(self.file_location, analyzer=analyzer,instrument_label=instrument_label)
def __init__(self, file_location):
Thread.__init__(self)
self.iRawDataPlus = RawFileReaderAdapter.FileFactory(file_location)
self.res = self.iRawDataPlus.SelectInstrument(0, 1)
self.lcms = LCMSBase(file_location)
self._initial_scan_number = self.iRawDataPlus.RunHeaderEx.FirstSpectrum
self._final_scan_number = self.iRawDataPlus.RunHeaderEx.LastSpectrum
self.file_location = file_location
def __init__(self, file_location):
Thread.__init__(self)
self.thermo_Library = CreateObject("MSFileReader.XRawfile")
self.thermo_Library.open(file_location)
self.res = self.thermo_Library.SetCurrentController(0, 1)
self.check_load_success()
self.LCMS = LCMSBase(file_location)
self._initial_scan_number = 1
self._final_scan_number = self.get_scans_numbers()
self.file_location = file_location
def __init__(self, file_location, auto_process=True):
Thread.__init__(self)
self.lcms = LCMSBase(file_location)
"""Set up the COM object interface"""
self.Bruker_Library = CreateObject("EDAL.MSAnalysis")
self.res = self.Bruker_Library.Open(file_location)
self.check_load_sucess()
self._initial_scan_number = 1
self._final_scan_number = self.get_scans_numbers()
self.file_location = file_location
self.auto_process = auto_process
class ReadCoreMSHDF_MassSpectra(ReadCoreMSHDF_MassSpectrum, Thread):
def __init__(self, file_location):
Thread.__init__(self)
ReadCoreMSHDF_MassSpectrum.__init__(self, file_location)
self.lcms = LCMSBase(self.file_location)
self.list_scans = sorted([int(i) for i in list(self.h5pydata.keys())])
def import_mass_spectra(self):
list_rt, list_tic = list(), list()
for scan_number in self.list_scans:
mass_spec = self.get_mass_spectrum(scan_number)
list_rt.append(mass_spec.retention_time)
list_tic.append(mass_spec.tic)
self.lcms.add_mass_spectrum(mass_spec)
self.lcms.retention_time = list_rt
self.lcms.tic = list_tic
self.lcms.scans_number = self.list_scans
def run(self):
'''creates the lcms obj'''
self.import_mass_spectra()
def get_lcms_obj(self):
if self.lcms:
return self.lcms
else:
raise Exception("returning a empty lcms class")
def __init__(self,
file_location,
analyzer='ICR',
instrument_label='21T',
auto_process=True):
'''
# Parameters
----------
## file_location : Path or S3Path
file_location is full data path
'''
Thread.__init__(self)
if isinstance(file_location, str):
# if obj is a string it defaults to create a Path obj, pass the S3Path if needed
self.file_location = Path(file_location)
self.lcms = LCMSBase(file_location,
analyzer=analyzer,
instrument_label=instrument_label)
if isinstance(file_location, S3Path):
data = BytesIO(file_location.open('rb').read())
else:
data = file_location
self.hdf_obj = h5py.File(data, 'r')
self.list_scans = sorted([int(i) for i in list(self.hdf_obj.keys())])
self.initial_scan_number = self.list_scans[0]
self.final_scan_number = self.list_scans[-1]
self.file_location = file_location
self.auto_process = True
self.analyzer = analyzer
self.instrument_label = instrument_label
def __init__(self, file_location, analyzer='ICR', instrument_label='21T', auto_process=True):
Thread.__init__(self)
self.lcms = LCMSBase(file_location, analyzer=analyzer,instrument_label=instrument_label)
self.hdf_obj = h5py.File(file_location, 'r')
self.list_scans = sorted([int(i) for i in list(self.hdf_obj.keys())])
self.initial_scan_number = self.list_scans [0]
self.final_scan_number = self.list_scans [-1]
self.file_location = file_location
self.auto_process = True
self.analyzer = analyzer
self.instrument_label = instrument_label
class ImportLCMSThermoMSFileReader(Thread):
""" Read FULL mode spectra only from raw file data and store it return a LC-MS class
* Default behavior is to load all scans numbers
* set start_scan_number and final_scan_number to change it before calling start(), or run()
"""
def __init__(self, file_location):
Thread.__init__(self)
self.iRawDataPlus = RawFileReaderAdapter.FileFactory(file_location)
self.res = self.iRawDataPlus.SelectInstrument(0, 1)
self.lcms = LCMSBase(file_location)
self._initial_scan_number = self.iRawDataPlus.RunHeaderEx.FirstSpectrum
self._final_scan_number = self.iRawDataPlus.RunHeaderEx.LastSpectrum
self.file_location = file_location
@property
def initial_scan_number(self):
return self._initial_scan_number
@property
def final_scan_number(self):
return self._final_scan_number
def run(self):
'''thread will automatically process mass spectrum
use the get_mass_spectra class to import without processing mass spectrum'''
d_parameters = default_parameters(self.file_location)
self._import_mass_spectra(d_parameters)
# return self.lcms
def get_mass_spectra(self, auto_process=True):
d_parameters = default_parameters(self.file_location)
self._import_mass_spectra(d_parameters, auto_process=auto_process)
return self.lcms
def check_load_success(self):
""" 0 if successful; otherwise, see Error Codes on MSFileReader Manual """
if self.res == 0:
self.break_it = False
return True
else:
raise ImportError(str(self.res))
def get_filter_for_scan_num(self, scan_number):
"""Returns the closest matching run time that corresponds to scan_number for the current
controller. This function is only supported for MS device controllers.
e.g. ['FTMS', '-', 'p', 'NSI', 'Full', 'ms', '[200.00-1000.00]']
"""
scan_label = self.iRawDataPlus.GetScanEventStringForScanNumber(
scan_number)
return str(scan_label).split()
def check_full_scan(self, scan_number):
# scan_filter.ScanMode 0 = FULL
scan_filter = self.iRawDataPlus.GetFilterForScanNumber(scan_number)
return scan_filter.ScanMode == 0
def get_polarity_mode(self, scan_number):
polarity_symbol = self.get_filter_for_scan_num(scan_number)[1]
if polarity_symbol == "+":
return 1
# return "POSITIVE_ION_MODE"
elif polarity_symbol == "-":
return -1
else:
raise Exception("Polarity Mode Unknown, please set it manually")
def get_scan_header(self, scan):
'''
Get full dictionary of scan header meta data, i.e. AGC status, ion injection time, etc.
'''
header = self.iRawDataPlus.GetTrailerExtraInformation(scan)
header_dic = {}
for i in numpy.arange(header.Length):
header_dic.update({header.Labels[i]: header.Values[i]})
return header_dic
def get_data(self, scan, d_parameter, scan_type):
if scan_type == "Centroid":
centroidStream = self.iRawDataPlus.GetCentroidStream(scan, False)
noise = list(centroidStream.Noises)
baselines = list(centroidStream.Baselines)
rp = list(centroidStream.Resolutions)
magnitude = list(centroidStream.Intensities)
mz = list(centroidStream.Masses)
# charge = scans_labels[5]
array_noise_std = (numpy.array(noise) - numpy.array(baselines)) / 3
l_signal_to_noise = numpy.array(magnitude) / array_noise_std
d_parameter["baselise_noise_std"] = numpy.average(array_noise_std)
d_parameter["baselise_noise_std_std"] = numpy.average(
array_noise_std)
data_dict = {
Labels.mz: mz,
Labels.abundance: magnitude,
Labels.rp: rp,
Labels.s2n: l_signal_to_noise,
}
else:
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(scan)
profileStream = self.iRawDataPlus.GetSegmentedScanFromScanNumber(
scan, scanStatistics)
magnitude = list(profileStream.Intensities)
mz = list(profileStream.Positions)
data_dict = {
Labels.mz: mz,
Labels.abundance: magnitude,
}
return data_dict
def is_profile_scan_for_scan_num(self, scan_number):
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(
scan_number)
isCentroid = scanStatistics.IsCentroidScan
return bool(not isCentroid)
def get_summed_mass_spectrum(self,
initial_scan_number,
final_scan_number=None,
auto_process=True,
pd_method=True,
pd_merge_n=100):
d_params = default_parameters(self.file_location)
# assumes scans is full scan or reduced profile scan
d_params["label"] = Labels.thermo_profile
if type(initial_scan_number) is list:
d_params["polarity"] = self.get_polarity_mode(
initial_scan_number[0])
scanrange = initial_scan_number
else:
d_params["polarity"] = self.get_polarity_mode(initial_scan_number)
if final_scan_number == None:
final_scan_number = self._final_scan_number
scanrange = range(initial_scan_number, final_scan_number + 1)
if pd_method:
def sort_sum_df(df):
"""
Nested function to sort dataframe and sum rows with exact matching indexes (m/z)
"""
df = df.sort_index()
df = df.groupby(level=0).sum()
return df
# initialise empty Pandas series
big_df = pd.Series(index=[], dtype='float64')
for scan_number in tqdm(scanrange):
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(
scan_number)
segmentedScan = self.iRawDataPlus.GetSegmentedScanFromScanNumber(
scan_number, scanStatistics)
tmp_df = pd.Series(index=list(segmentedScan.Positions),
dtype='float64',
data=list(segmentedScan.Intensities))
big_df = big_df.append(tmp_df)
#this allows you to merge/sum the values earlier, however it slows down a lot
#limited benefit unless running into memory issues
#for complex data it is necessary to stop the iterations getting too slow
if scan_number % pd_merge_n == 0:
big_df = sort_sum_df(big_df)
big_df = sort_sum_df(big_df)
data_dict = {
Labels.mz: list(big_df.index.values),
Labels.abundance: list(big_df.values),
}
else:
all_mz = dict()
for scan_number in tqdm(scanrange):
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(
scan_number)
segmentedScan = self.iRawDataPlus.GetSegmentedScanFromScanNumber(
scan_number, scanStatistics)
len_data = segmentedScan.Positions.Length
for i in range(len_data):
mz = segmentedScan.Positions[i]
abundance = segmentedScan.Intensities[i]
if mz in all_mz:
all_mz[mz] = all_mz[mz] + abundance
else:
all_mz[mz] = abundance
mz_all = []
abun_all = []
for mz in sorted(all_mz):
mz_all.append(mz)
abun_all.append(all_mz[mz])
data_dict = {
Labels.mz: mz_all,
Labels.abundance: abun_all,
}
print('Summed. Now Processing.')
mass_spec = MassSpecProfile(data_dict,
d_params,
auto_process=auto_process)
return mass_spec
def _import_mass_spectra(self, d_params, auto_process=True):
# if self.check_load_success():
"""get number of scans"""
list_Tics = list()
list_RetentionTimeSeconds = list()
list_scans = list()
for scan_number in range(self.initial_scan_number,
self.final_scan_number + 1):
"only import FULL scans it ignores all others"
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(
scan_number)
d_params["label"] = Labels.thermo_profile
d_params["polarity"] = self.get_polarity_mode(scan_number)
d_params["rt"] = self.iRawDataPlus.RetentionTimeFromScanNumber(
scan_number)
d_params["scan_number"] = scan_number
list_RetentionTimeSeconds.append(d_params.get("rt"))
list_Tics.append(scanStatistics.TIC)
list_scans.append(scan_number)
if self.check_full_scan(scan_number):
data_dict = self.get_data(scan_number, d_params, "Profile")
print("loading profile scan number: ", scan_number)
mass_spec = MassSpecProfile(data_dict,
d_params,
auto_process=auto_process)
self.lcms.add_mass_spectrum(mass_spec)
else:
data_dict = self.get_data(scan_number, d_params, "Centroid")
print("loading centroid scan number: ", scan_number)
mass_spec = MassSpecCentroid(data_dict, d_params)
self.lcms.add_mass_spectrum(mass_spec)
#pool = multiprocessing.Pool(5)
#result = pool.starmap(MassSpecCentroid, results)
# for ms in result:
# self.lcms.add_mass_spectrum(ms)
self.lcms.retention_time(list_RetentionTimeSeconds)
self.lcms.tic = list_Tics
self.lcms.scans_number = list_scans
def get_lcms(self):
"""get_lc_ms_class method should only be used when using this class as a Thread,
otherwise use the run() method to return the LCMS class"""
if self.lcms.get(self._initial_scan_number):
return self.lcms
else:
self.run()
if self.lcms.get(self._initial_scan_number):
return self.lcms
else:
raise Exception("returning a empty LCMS class")
def get_tic(self, plot=False):
"""
Reads the TIC values for each scan from the Thermo headers
Returns a pandas dataframe of Scans, TICs, and Times
(Optionally) plots the TIC chromatogram.
"""
first_scan = self._initial_scan_number
final_scan = self._final_scan_number
scanrange = range(first_scan, final_scan + 1)
ms_tic = pd.DataFrame(index=scanrange, columns=['TIC', 'Time'])
for scan in scanrange:
scanStatistics = self.iRawDataPlus.GetScanStatsForScanNumber(scan)
ms_tic.loc[scan, 'TIC'] = scanStatistics.TIC
ms_tic.loc[scan, 'Time'] = scanStatistics.StartTime
if plot:
import matplotlib.pyplot as plt #maybe better in top of file?
fig, ax = plt.subplots(figsize=(6, 3))
ax.plot(ms_tic['Time'], ms_tic['TIC'])
ax.set_xlabel('Time (min)')
ax.set_ylabel('TIC')
plt.show()
return ms_tic, fig
return ms_tic
def get_best_scans_idx(self, stdevs=2, method='mean', plot=False):
'''
Method to determine the best scan indexes for selective co-addition
Based on calculating the mean (default) of the TIC values
and setting an upper limit above/below that within X standard deviations.
Mean or median makes limited difference, it seems.
Empirically, 1-2 stdevs enough to filter out the worst datapoints.
Optionally, plot the TIC with horizontal lines for the standard dev cutoffs.
'''
tic = self.get_tic()
if method == 'median':
tic_median = tic['TIC'].median()
elif method == 'mean':
tic_median = tic['TIC'].mean()
else:
print("Method " + print(str(method)) + " undefined")
tic_std = tic['TIC'].std()
upperlimit = tic_median - (stdevs * tic_std)
lowerlimit = tic_median + (stdevs * tic_std)
tic_filtered = tic[(tic['TIC'] > upperlimit)
& (tic['TIC'] < lowerlimit)]
scans = list(tic_filtered.index.values)
if plot:
import matplotlib.pyplot as plt
fig, ax = plt.subplots(figsize=(8, 4))
ax.plot(tic['Time'], tic['TIC'])
ax.axhline(y=upperlimit, c='r')
ax.axhline(y=lowerlimit, c='r')
return fig, scans
else:
return scans
class ImportLCMSBrukerCompassXtract(Thread):
'''class docs'''
def __init__(self, file_location, auto_process=True):
Thread.__init__(self)
self.lcms = LCMSBase(file_location)
"""Set up the COM object interface"""
self.Bruker_Library = CreateObject("EDAL.MSAnalysis")
self.res = self.Bruker_Library.Open(file_location)
self.check_load_sucess()
self._initial_scan_number = 1
self._final_scan_number = self.get_scans_numbers()
self.file_location = file_location
self.auto_process = auto_process
@property
def initial_scan_number(self):
return self._initial_scan_number
@property
def final_scan_number(self):
return self._final_scan_number
def check_scan(self, scan):
scan_numbers = self.get_scans_numbers()
return scan <= scan_numbers
@initial_scan_number.setter
def initial_scan_number(self, initial_scan_number):
if self.check_scan(initial_scan_number):
self._initial_scan_number = initial_scan_number
else:
raise Exception("startscan and finalscan should be less than %s" %
self.get_scans_numbers())
@final_scan_number.setter
def final_scan_number(self, final_scan_number):
if self.check_scan(final_scan_number):
self._final_scan_number = final_scan_number
else:
raise Exception("startscan and finalscan should be less than %s" %
self.get_scans_numbers())
def get_scans_numbers(self):
scan_numbers = self.Bruker_Library.MSSpectrumCollection.Count
return scan_numbers
def get_polarity_mode(self, spectrum):
polarity_symbol = spectrum.Polarity
if polarity_symbol == 0:
return 1
# return "POSITIVE_ION_MODE"
elif polarity_symbol == 1:
return -1
# return "NEGATIVE_ION_MODE"
else:
raise IOError("Could not read mass spectrum polarity mode")
def check_load_sucess(self):
""" 0 if successful; otherwise, see Error Codes """
if self.res == 0:
self.break_it = False
else:
raise ImportError(str(self.res))
def get_bruker_tics(self):
strAnalysisData = BSTR("SumIntensity")
if self.Bruker_Library.HasAnalysisData(strAnalysisData):
tics_array = self.Bruker_Library.GetAnalysisData(strAnalysisData)
tics_array = array(tics_array)
return tics_array
def get_bruker_retention_time(self):
strAnalysisData = BSTR("RetentionTime")
if self.Bruker_Library.HasAnalysisData(strAnalysisData):
tics_array = self.Bruker_Library.GetAnalysisData(strAnalysisData)
tics_array = array(tics_array)
else:
tics_array = [0]
return tics_array
@staticmethod
def get_data(spectra, scan):
"""init_variable_from_get_spectrums
# massList set up later
#retention_time = spectrum.RetentionTime
"""
spectrum = spectra[scan]
is_profile = c_long(1)
masslist = spectrum.GetMassIntensityValues(is_profile)
# index_to_cut = self.find_index_of_mass(1200, masslist[0])
data_dict = {
Labels.mz: array(masslist[0]),
Labels.abundance: array(masslist[1]),
Labels.rp: None,
Labels.s2n: None,
}
return data_dict
def run(self):
'''creates the lcms obj'''
d_parameters = default_parameters(self.file_location)
self._import_mass_spectra(d_parameters)
def _import_mass_spectra(self, d_params):
spectra = self.Bruker_Library.MSSpectrumCollection
list_rt = self.get_bruker_retention_time()
list_Tics = self.get_bruker_tics()
list_scans = list()
for scan_number in range(self.initial_scan_number,
self.final_scan_number + 1):
if spectra[scan_number].MSMSStage == 1:
# this label needs to go inside a encapsulation class for consistence
d_params["label"] = Labels.bruker_profile
d_params["polarity"] = self.get_polarity_mode(
spectra[scan_number])
d_params["rt"] = list_rt[scan_number - 1]
d_params["scan_number"] = scan_number
list_scans.append(scan_number)
data_dict = self.get_data(spectra, scan_number)
mass_spec = MassSpecProfile(data_dict,
d_params,
auto_process=self.auto_process)
mass_spec.process_mass_spec()
self.lcms.add_mass_spectrum(mass_spec)
self.lcms.retention_time = list_rt
self.lcms.tic = list_Tics
self.lcms.scans_number = list_scans
# return each_mass_spectrum
def get_lcms_obj(self):
"""get_lc_ms_class method should only be used when using this class as a Thread,
otherwise use the run() method to return the lcms class"""
if self.lcms.get(self._initial_scan_number):
return self.lcms
else:
raise Exception("returning a empty lcms class")
class ReadBruker_SolarixTransientMassSpectra(Thread):
'''class docs'''
def __init__(self,
d_directory_location,
analyzer='ICR',
instrument_label='15T',
auto_process=True,
auto_noise=True,
keep_profile=False):
Thread.__init__(self)
d_directory_location = Path(d_directory_location)
if not d_directory_location.exists():
raise FileNotFoundError("File does not exist: " +
str(d_directory_location))
self.scan_attr = d_directory_location / "scan.xml"
if not self.scan_attr.exists():
raise FileExistsError(
"%s does not seem to be a valid Solarix Mass Spectra Experiment,\
maybe an Imaging experiment?\
please ReadBruker_SolarixTransientImage class for Imaging dataset "
% d_directory_location)
self.lcms = LCMSBase(d_directory_location, analyzer, instrument_label)
self.auto_process = auto_process
self.auto_noise = auto_noise
self.keep_profile = keep_profile
def get_scan_attr(self):
from bs4 import BeautifulSoup
soup = BeautifulSoup(self.scan_attr.open(), 'xml')
list_rt = [float(rt.text) for rt in soup.find_all('minutes')]
list_tic = [float(tic.text) for tic in soup.find_all('tic')]
list_scan = [int(scan.text) for scan in soup.find_all('count')]
dict_scan_rt_tic = dict(zip(list_scan, zip(list_rt, list_tic)))
return dict_scan_rt_tic
def import_mass_spectra(self):
dict_scan_rt_tic = self.get_scan_attr()
list_rt, list_tic = list(), list(),
list_scans = sorted(list(dict_scan_rt_tic.keys()))
for scan_number in list_scans:
mass_spec = self.get_mass_spectrum(scan_number)
self.lcms.add_mass_spectrum(mass_spec)
list_rt.append(dict_scan_rt_tic.get(scan_number)[0])
list_tic.append(dict_scan_rt_tic.get(scan_number)[1])
self.lcms.retention_time = list_rt
self.lcms.tic = list_tic
self.lcms.scans_number = list_scans
def get_mass_spectrum(self, scan_number):
bruker_reader = ReadBrukerSolarix(self.lcms.file_location)
bruker_transient = bruker_reader.get_transient(scan_number)
mass_spec = bruker_transient.get_mass_spectrum(
plot_result=False,
auto_process=self.auto_process,
keep_profile=self.keep_profile,
auto_noise=self.auto_noise)
return mass_spec
def run(self):
'''creates the lcms obj'''
self.import_mass_spectra()
def get_lcms_obj(self):
if self.lcms:
return self.lcms
else:
raise Exception("returning a empty lcms class")
class ReadCoremsMassSpectraText(ReadCoremsMasslist, Thread):
def __init__(self,
file_location,
analyzer='Unknown',
instrument_label='Unknown'):
"""
# Parameters
----------
file_location: text, pathlib.Path(), or s3path.S3Path
Path object from pathlib containing the file location
"""
if isinstance(file_location, str):
# if obj is a string it defaults to create a Path obj, pass the S3Path if needed
file_location = Path(file_location)
if not file_location.exists():
raise FileNotFoundError("%s not found" % file_location)
if not file_location.suffix == '.corems':
raise TypeError("%s is not a valid CoreMS file" % file_location)
Thread.__init__(self)
ReadCoremsMasslist.__init__(self, file_location)
self.lcms = LCMSBase(self.file_location,
analyzer=analyzer,
instrument_label=instrument_label)
def get_scans_filename(self):
all_other = self.file_location.glob('*_scan*[!.json]')
scans_filepath = [(file_path_obj.stem.split('scan')[1], file_path_obj)
for file_path_obj in all_other]
scans_filepath.sort(key=lambda m: int(m[0]))
return scans_filepath
def set_filepath_datatype_and_delimiter(self, file_path_obj):
self.file_location = file_path_obj
if file_path_obj.suffix == '.pkl':
self.data_type == 'dataframe'
else:
if file_path_obj.suffix == '.csv':
self.data_type == 'txt'
self.delimiter = ','
elif file_path_obj.suffix == '.xlsx':
self.data_type == 'excel'
self.delimiter = ','
elif file_path_obj.suffix == '.txt':
self.data_type == 'txt'
self.delimiter = '\t'
print('WARNING using tab as delimiter')
else:
raise NotImplementedError('%s data not yet supported ' %
file_path_obj.suffix)
def import_mass_spectra(self):
list_rt, list_tic, list_scan = list(), list(), list()
for scan_number, file_path_obj in self.get_scans_filename():
self.set_filepath_datatype_and_delimiter(file_path_obj)
mass_spec = self.get_mass_spectrum(int(scan_number))
list_scan.append(int(scan_number))
list_rt.append(mass_spec.retention_time)
list_tic.append(mass_spec.tic)
self.lcms.add_mass_spectrum(mass_spec)
self.lcms.retention_time = list_rt
self.lcms.tic_list = list_tic
self.lcms.scans_number = list_scan
def run(self):
'''creates the lcms obj'''
self.import_mass_spectra()
def get_lcms_obj(self):
if self.lcms:
return self.lcms
else:
raise Exception("returning a empty lcms class")
class ImportLCMSThermoMSFileReader(Thread):
""" Read FULL and PROFILE (it ignores all other scans) raw file data and store it return a LCMS class
* Default behavior is to load all scans numbers
* set start_scan_number and final_scan_number to change it before calling start(), or run()
* Noise threshold will break the mass_spec.process_mass_spec() if the method in the
MassSpecSetting class is set to something other than Relative Abundance
(it needs to be fixed to work with all methods)
"""
def __init__(self, file_location):
Thread.__init__(self)
self.thermo_Library = CreateObject("MSFileReader.XRawfile")
self.thermo_Library.open(file_location)
self.res = self.thermo_Library.SetCurrentController(0, 1)
self.check_load_success()
self.LCMS = LCMSBase(file_location)
self._initial_scan_number = 1
self._final_scan_number = self.get_scans_numbers()
self.file_location = file_location
@property
def initial_scan_number(self):
return self._initial_scan_number
@property
def final_scan_number(self):
return self._final_scan_number
def check_scan(self, scan):
scan_numbers = self.get_scans_numbers()
return scan <= scan_numbers
@initial_scan_number.setter
def initial_scan_number(self, start_scan_number):
if self.check_scan(start_scan_number):
self._initial_scan_number = start_scan_number
else:
raise Exception(
"startscan and finalscan should be less than %s"
% self.get_scans_numbers()
)
@final_scan_number.setter
def final_scan_number(self, final_scan_number):
if self.check_scan(final_scan_number):
self._final_scan_number = final_scan_number
else:
raise Exception(
"startscan and finalscan should be less than %s"
% self.get_scans_numbers()
)
def run(self):
'''thread will automatically process mass spectrum
use the get_mass_spectra class to import without processing mass spectrum'''
d_parameters = default_parameters(self.file_location)
self._import_mass_spectra(d_parameters)
# return self.LCMS
def get_mass_spectra(self,auto_process=True):
d_parameters = default_parameters(self.file_location)
self._import_mass_spectra(d_parameters, auto_process=auto_process)
return self.LCMS
def check_load_success(self):
""" 0 if successful; otherwise, see Error Codes on MSFileReader Manual """
if self.res == 0:
self.break_it = False
return True
else:
raise ImportError(str(self.res))
def get_filter_for_scan_num(self, scan_number):
"""Returns the closest matching run time that corresponds to scan_number for the current
controller. This function is only supported for MS device controllers.
e.g. ['FTMS', '-', 'p', 'NSI', 'Full', 'ms', '[200.00-1000.00]']
"""
str_filter = BSTR(None)
error = self.thermo_Library.GetFilterForScanNum(scan_number, byref(str_filter))
if error:
raise IOError(
"scan %i GetFilterForScanNum error : %s" % (scan_number, str(error))
)
else:
return str(str_filter.value).split()
def check_full_scan(self, scan_number):
scan_mode_symbol = self.get_filter_for_scan_num(scan_number)[4]
return scan_mode_symbol == "Full"
def get_polarity_mode(self, scan_number):
polarity_symbol = self.get_filter_for_scan_num(scan_number)[1]
if polarity_symbol == "+":
return 1
# return "POSITIVE_ION_MODE"
elif polarity_symbol == "-":
return -1
else:
raise Exception("Polarity Mode Unknown, please set it manually")
def get_data(self, scan, d_parameter):
scan = c_long(scan)
pvarLabels = VARIANT()
pvarFlags = VARIANT()
self.thermo_Library.GetLabelData(pvarLabels, pvarFlags, scan)
scans_labels = numpy.array(pvarLabels.value)
mz = scans_labels[0]
magnitude = scans_labels[1]
rp = scans_labels[2]
base_noise = scans_labels[3]
noise = scans_labels[4]
# charge = scans_labels[5]
array_noise_std = (numpy.array(noise) - numpy.array(base_noise)) / 3
l_signal_to_noise = numpy.array(magnitude) / array_noise_std
d_parameter["baselise_noise"] = numpy.average(array_noise_std)
d_parameter["baselise_noise_std"] = numpy.average(array_noise_std)
data_dict = {
Labels.mz: mz,
Labels.abundance: magnitude,
Labels.rp: rp,
Labels.s2n: l_signal_to_noise,
}
return data_dict
def get_scans_numbers(self):
nScans = c_long()
self.thermo_Library.GetNumSpectra(nScans)
return int(nScans.value)
def get_ScanHeaderInfoForScanNum(self, scan_number):
nScanNumber = c_long(scan_number) # get info for the twelfth scan
nPackets = c_long(0)
dRetantionTime = c_double(0.0)
dLowMass = c_double(0.0)
dHighMass = c_double(0.0)
dTIC = c_double(0.0)
dBasePeakMass = c_double(0.0)
dBasePeakIntensity = c_double(0.0)
nChannels = c_long(0)
bUniformTime = c_long(False)
dFrequency = c_double(0.0)
self.thermo_Library.GetScanHeaderInfoForScanNum(
nScanNumber,
nPackets,
dRetantionTime,
dLowMass,
dHighMass,
dTIC,
dBasePeakMass,
dBasePeakIntensity,
nChannels,
bUniformTime,
dFrequency,
)
return dRetantionTime.value, dTIC.value
def is_profile_scan_for_scan_num(self, scan_number):
IsProfileScan = c_long()
error = self.thermo_Library.IsProfileScanForScanNum(
c_long(scan_number), byref(IsProfileScan)
)
if error:
raise IOError("IsProfileScanForScanNum error :", error)
# print (IsProfileScan.value, bool(1))
return bool(IsProfileScan.value)
def _import_mass_spectra(self, d_params, auto_process=True):
results = []
# Each_Mass_Spectrum = namedtuple('each_mass_spectrum', ['mass_list', 'abundance_list', 'retention_time', 'scan_number', 'tic_number'])
if self.check_load_success():
"""get number of scans"""
list_Tics = list()
list_RetentionTimeSeconds = list()
list_scans = list()
"""key = scan_number or retention time"""
# print(self.initial_scan_number, self.final_scan_number)
for scan_number in range(
self.initial_scan_number, self.final_scan_number + 1
):
#print(scan_number)
# scan_number = scan_number + 1
"only import FULL scans and Profile Mode, it ignores all others"
if self.check_full_scan(scan_number):
if self.is_profile_scan_for_scan_num(scan_number):
d_params["label"] = Labels.thermo_centroid
d_params["polarity"] = self.get_polarity_mode(scan_number)
d_params["rt"], TIC = self.get_ScanHeaderInfoForScanNum(
scan_number
)
d_params["scan_number"] = scan_number
list_RetentionTimeSeconds.append(d_params.get("rt"))
list_Tics.append(TIC)
list_scans.append(scan_number)
data_dict = self.get_data(scan_number, d_params)
#results.append((data, d_params))
mass_spec = MassSpecCentroid(data_dict, d_params)
self.LCMS.add_mass_spectrum(mass_spec)
#pool = multiprocessing.Pool(5)
#result = pool.starmap(MassSpecCentroid, results)
#for ms in result:
#self.LCMS.add_mass_spectrum(ms)
self.LCMS.retention_time = list_RetentionTimeSeconds
self.LCMS.set_tic_list(list_Tics)
self.LCMS.set_scans_number_list(list_scans)
def get_lcms(self):
"""get_lc_ms_class method should only be used when using this class as a Thread,
otherwise use the run() method to return the LCMS class"""
if self.LCMS.get(self._initial_scan_number):
return self.LCMS
else:
raise Exception("returning a empty LCMS class")
class ReadHDF_BoosterMassSpectra(Thread):
'''class docs'''
def __init__(self, file_location, analyzer='ICR', instrument_label='21T', auto_process=True):
Thread.__init__(self)
self.lcms = LCMSBase(file_location, analyzer=analyzer,instrument_label=instrument_label)
self.hdf_obj = h5py.File(file_location, 'r')
self.list_scans = sorted([int(i) for i in list(self.hdf_obj.keys())])
self.initial_scan_number = self.list_scans [0]
self.final_scan_number = self.list_scans [-1]
self.file_location = file_location
self.auto_process = True
self.analyzer = analyzer
self.instrument_label = instrument_label
def get_polarity(self, file_location, scan):
self.h5pydata = h5py.File(file_location, 'r')
self.scans = list(self.h5pydata.keys())
polarity = self.get_attr_data(scan,'r_h_polarity')
if polarity == 'negative scan': return -1
else: return +1
def get_attr_data(self, scan, attr_srt):
return self.hdf_obj[str(scan)].attrs[attr_srt]
def import_mass_spectra(self, d_params):
list_rt, list_tic = list(), list()
for scan_number in self.list_scans:
d_params["rt"] = list_rt.append(self.get_attr_data(scan_number, 'r_h_start_time'))
d_params["scan_number"] = scan_number
d_params['label'] = Labels.booster_profile
d_params["polarity"] = self.get_polarity(self.file_location, scan_number)
d_params["Aterm"] = self.get_attr_data(scan_number, 'r_cparams')[0]
d_params["Bterm"] = self.get_attr_data(scan_number, 'r_cparams')[1]
d_params['analyzer'] = self.analyzer
d_params['instrument_label'] = self.instrument_label
list_rt.append(d_params["rt"])
list_tic.append(self.get_attr_data(scan_number, 'r_h_tic'))
mass_spec = self.get_mass_spectrum(scan_number, d_params)
self.lcms.add_mass_spectrum(mass_spec)
self.lcms.retention_time = list_rt
self.lcms.tic = list_tic
self.lcms.scans_number = self.list_scans
def get_mass_spectrum(self, scan, d_params):
booster_data = self.hdf_obj[str(scan)]
if booster_data.shape[0] is not 2:
raise NotImplementedError('opening transient, needs read raw file here, get bandwidth, create transient class and then the mass spectrum')
else:
data_dict = {
Labels.mz: booster_data[0],
Labels.abundance: booster_data[1],
Labels.rp: None,
Labels.s2n: None,
}
mass_spec = MassSpecProfile(data_dict, d_params, auto_process=self.auto_process)
return mass_spec
def run(self):
'''creates the lcms obj'''
d_parameters = default_parameters(self.file_location)
self.import_mass_spectra(d_parameters)
def get_lcms_obj(self):
if self.lcms.get(self.initial_scan_number):
return self.lcms
else:
raise Exception("returning a empty lcms class")
