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#!/usr/bin/env python
"""
Additional functions for converting file etc.
@author M. Kösters
"""
# Python mzML module - pymzml
# Copyright (C) 2010-2019 M. Kösters, C. Fufezan
# The MIT License (MIT)
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
# The above copyright notice and this permission notice shall be included in all
# copies or substantial portions of the Software.
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
from pymzml.utils.GSGW import GSGW
import pymzml.regex_patterns as regex_patterns
import re
import gzip
def index_gzip(pathIn, pathOut, max_idx=10000, idx_len=8, verbose=False, comp_str=-1):
"""
Convert an mzml file (can be gzipped) into an indexed, gzipped mzML file.
Arguments:
pathIn (str): path to an mzML input File.
pathOut (str): path were the index gzip will be created.
Keyword Arguments:
max_idx (int): number of indexes which can be saved.
idx_len (int): character len of on key
verbose (boolean): print progress while parsing input.
comp_str(int): compression strength of zlib compression,
needs to be 1 <= x <= 9
"""
if pathIn.endswith("gz"):
fileOpen = gzip.open
elif pathIn.lower().endswith("mzml"):
fileOpen = open
with GSGW(
output_path=pathOut,
max_idx=max_idx,
max_idx_len=idx_len,
max_offset_len=idx_len,
comp_str=comp_str,
) as Writer:
with fileOpen(pathIn, "rt") as Reader:
data = ""
for line in Reader:
if line.strip().startswith("</spectrum>"):
data += line
Writer.add_data(data, nativeID)
if verbose:
print("NativeID : {0}".format(nativeID), end="\r")
data = ""
elif line.strip().startswith("<spectrum "):
data += line
lineID = re.search(regex_patterns.SPECTRUM_TAG_PATTERN, line).group(
"index"
)
nativeID = int(
regex_patterns.SPECTRUM_ID_PATTERN.search(lineID).group(1)
)
elif line.strip().startswith("<chromatogram "):
data += line
nativeID = re.search(
regex_patterns.CHROMATOGRAM_ID_PATTERN, line
).group(1)
print("found chromatogram")
elif line.strip().startswith("<spectrumL"):
data += line
Writer.add_data(data, "Head")
if verbose:
print("NativeID :", "Head")
data = ""
elif line.strip().startswith("<chromatogramL"):
data += line
Writer.add_data(data, "junk")
if verbose:
print("NativeID :", "junk")
data = ""
elif line.strip().startswith("</chromatogram>"):
data += line
Writer.add_data(data, nativeID)
if verbose:
print("found chromatogram")
print("NativeID: {0}".format(nativeID))
data = ""
else:
data += line
if data:
Writer.add_data(data, "tail")
if verbose:
print("NativeID :", "tail")
# print(Writer.index.items())
Writer.write_index()
return
def index(pathIn, pathOut, max_idx=10000, idx_len=8, verbose=False, comp_str=-1):
"""
Convert an mzml file (can be gzipped) into an indexed, gzipped mzML file.
Arguments:
pathIn (str): path to input File.
pathOut (str): path were output should be created.
Keyword Arguments:
max_idx (int): number of indexes which can be saved.
idx_len (int): character len of on key
verbose (boolean): print progress while parsing input.
comp_str(int): compression strength of zlib compression,
needs to be 1 <= x <= 9
"""
import gzip
with GSGW(
output_path=pathOut,
max_idx_len=idx_len,
max_offset_len=idx_len,
comp_str=comp_str,
) as Writer:
with gzip.open(pathIn, "rt") as Reader:
data = ""
for line in Reader:
if line.strip().startswith("</spectrum>"):
data += line
Writer.add_data(data, nativeID)
if verbose:
pass
data = ""
elif line.strip().startswith("<spectrum "):
data += line
lineID = re.search(regex_patterns.SPECTRUM_TAG_PATTERN, line).group(
"index"
)
nativeID = int(
regex_patterns.SPECTRUM_ID_PATTERN.search(lineID).group(0)
)
elif line.strip().startswith("<chromatogram "):
data += line
nativeID = re.search(
regex_patterns.CHROMATOGRAM_ID_PATTERN, line
).group(1)
elif line.strip().startswith("<spectrumL"):
data += line
Writer.add_data(data, "Head")
if verbose:
print("NativeID :", "Head")
data = ""
elif line.strip().startswith("<chromatogramL"):
data += line
Writer.add_data(data, "junk")
if verbose:
print("NativeID :", "junk")
data = ""
elif line.strip().startswith("</chromatogram>"):
data += line
Writer.add_data(data, nativeID)
if verbose:
print("found chromo")
print("NativeID :", nativeID, end="\r")
data = ""
else:
data += line
if data:
Writer.add_data(data, "tail")
if verbose:
print("NativeID :", "tail")
Writer.write_index()
def make_obo_mapping(obo, reversed=False):
# NOT sure what this is for ...
mapping = {}
with open(obo) as obo_file:
for line in obo_file:
if line.startswith("id: "):
id = line.split()[-1]
elif line.startswith("name: "):
mapping[id] = " ".join(line.split()[1:])
if reversed:
mapping = {y: x for x, y in mapping.items()}
return mapping
if __name__ == "__main__":
print(__doc__)
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