#########################################################################
# MacSyFinder - Detection of macromolecular systems in protein dataset #
# using systems modelling and similarity search. #
# Authors: Sophie Abby, Bertrand Neron #
# Copyright (c) 2014-2023 Institut Pasteur (Paris) and CNRS. #
# See the COPYRIGHT file for details #
# #
# This file is part of MacSyFinder package. #
# #
# MacSyFinder is free software: you can redistribute it and/or modify #
# it under the terms of the GNU General Public License as published by #
# the Free Software Foundation, either version 3 of the License, or #
# (at your option) any later version. #
# #
# MacSyFinder is distributed in the hope that it will be useful, #
# but WITHOUT ANY WARRANTY; without even the implied warranty of #
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the #
# GNU General Public License for more details . #
# #
# You should have received a copy of the GNU General Public License #
# along with MacSyFinder (COPYING). #
# If not, see <https://www.gnu.org/licenses/>. #
#########################################################################
"""
Manage HMM profiles and hmmsearch execution
"""
import os
import gzip
import logging
_log = logging.getLogger(__name__)
from subprocess import Popen
from threading import Lock
from .report import GembaseHMMReport, GeneralHMMReport, OrderedHMMReport
from .error import MacsypyError
[docs]class ProfileFactory:
"""
Build and store all Profile objects. Profiles must not be instanciated directly.
The profile_factory must be used. The profile_factory ensures there is only one instance
of profile for a given name.
To get a profile, use the method get_profile. If the profile is already cached, this instance is returned.
Otherwise a new profile is built, stored in the profile_factory and then returned.
"""
[docs] def __init__(self, cfg):
self._profiles = {}
self.cfg = cfg
[docs] def get_profile(self, gene, model_location):
"""
:param gene: the gene associated to this profile
:type gene: :class:`macsypy.gene.Gene` or :class:`macsypy.gene.Homolog` or :class:`macsypy.gene.Analog` object
:param model_location: The where to get the profile
:type model_location: :class:`macsypy.registries.ModelLocation` object.
:return: the profile corresponding to the name.
If the profile already exists, return it. Otherwise build it, store it and return it.
:rtype: :class:`macsypy.profile.Profile` object
"""
key = (model_location.name, gene.name)
if key in self._profiles:
profile = self._profiles[key]
else:
try:
path = model_location.get_profile(gene.name)
except KeyError:
raise MacsypyError(f"'{model_location.name}/{gene.name}': No such profile")
profile = Profile(gene, self.cfg, path)
self._profiles[key] = profile
return profile
[docs]class Profile:
"""
Handle a HMM protein profile
"""
[docs] def __init__(self, gene, cfg, path):
"""
:param gene: the gene corresponding to this profile
:type gene: :class:`macsypy.secretion.Gene` object
:param cfg: the configuration
:type cfg: :class:`macsypy.config.Config` object
:param path: the path to the hmm profile.
:type path: string
"""
self.gene = gene
self.path = path
self.len, self.ga_threshold = self._profile_features()
self.cfg = cfg
self.hmm_raw_output = None
self._report = None
self._lock = Lock()
[docs] def __len__(self):
"""
:return: the length of the HMM protein profile
:rtype: int
"""
return self.len
[docs] def _profile_features(self):
"""
Parse the HMM profile to extract the length and the presence of GA bit threshold
:return: the length, presence of ga bit threshold
:rtype: tuple(int length, bool ga_threshold)
"""
length = None
ga_threshold = False
_, ext = os.path.splitext(self.path)
if ext == '.gz':
my_open = gzip.open
elif ext == '.bz2' or ext == '.zip':
msg = f"MacSyFinder does not support '{ext[1:]}' compression (only gzip)."
_log.critical(msg)
raise ValueError(msg)
else:
# I assumed it's a hmm not compressed
my_open = open
try:
with my_open(self.path, 'rt') as hmm_file:
for line in hmm_file:
if line.startswith('LENG'):
length = int(line.split()[1])
elif line.startswith('GA'):
try:
header, thld_1, thld_2 = line.split()
except ValueError:
_log.warning(f"{self.gene.name} GA score is not well formatted. expected: "
f"'GA float float' got '{line.rstrip()}'.")
_log.warning(f"GA score will not used for gene '{self.gene.name}'.")
continue
if thld_2.endswith(';'):
thld_2 = thld_2[:-1]
try:
thld_1 = float(thld_1)
thld_2 = float(thld_2)
ga_threshold = True
except ValueError:
_log.warning(f"{self.gene.name} GA score is not well formatted "
f"expected 2 floats got '{thld_1}' '{thld_2}'.")
_log.warning(f"GA score will not used for gene '{self.gene.name}'.")
continue
elif line.startswith('STATS LOCAL'):
break
except Exception as err:
msg = f'Cannot read profile {self.path}: {err}'
_log.critical(msg)
raise MacsypyError(msg)
return length, ga_threshold
[docs] def __str__(self):
"""
Print the name of the corresponding gene and the path to the HMM profile.
"""
return f"{self.gene.name} : {self.path}"
[docs] def execute(self, cpu=1):
"""
Launch the Hmmer search (hmmsearch executable) with this profile
:param int cpu: the number of cpu to use for hmmsearch (must be >= 1)
:return: an object storing information on the results of the HMM search (HMMReport)
:rtype: :class:`macsypy.report.HMMReport` object
"""
with self._lock:
# the results of HMM is cached
# so HMMsearch is executed only once per run
# if this method is called several times,
# the first call induce the execution of HMMsearch and generate a report
# the other calls return directly this report
if self._report is not None:
return self._report
hmmer_dir = os.path.join(self.cfg.working_dir(), self.cfg.hmmer_dir())
if not os.path.exists(hmmer_dir):
os.mkdir(hmmer_dir)
output_path = os.path.join(hmmer_dir, self.gene.name + self.cfg.res_search_suffix())
err_path = os.path.join(hmmer_dir,
self.gene.name + os.path.splitext(self.cfg.res_search_suffix())[0] + ".err")
with open(err_path, 'w') as err_file:
if not self.cfg.cut_ga():
hmmer_threshold = f"-E {self.cfg.e_value_search():f}"
elif self.cfg.cut_ga() and self.ga_threshold:
hmmer_threshold = "--cut_ga"
else:
# cut_ga is True set but there is not self.ga_threshold:
hmmer_threshold = f"-E {self.cfg.e_value_search():f}"
_log.warning(f"GA bit thresholds unavailable on profile {self.gene.name}. "
f"Switch to e-value threshold ({hmmer_threshold})")
command = f'"{self.cfg.hmmer()}" --cpu {cpu} -o "{output_path}" {hmmer_threshold} ' \
f'"{self.path}" "{self.cfg.sequence_db()}" '
_log.debug(f"{self.gene.name} Hmmer command line : {command}")
try:
hmmer = Popen(command,
shell=True,
stdout=None,
stdin=None,
stderr=err_file,
close_fds=False,
)
except Exception as err:
msg = f"Hmmer execution failed: command = {command} : {err}"
_log.critical(msg, exc_info=True)
raise err
hmmer.wait()
if hmmer.returncode != 0:
if hmmer.returncode == -15:
msg = f"The Hmmer execution was aborted: command = {command} : " \
f"return code = {hmmer.returncode:d} check {err_path}"
_log.critical(msg)
return
else:
msg = f"an error occurred during Hmmer execution: command = {command} : " \
f"return code = {hmmer.returncode:d} check {err_path}"
_log.debug(msg, exc_info=True)
_log.critical(msg)
raise RuntimeError(msg)
self.hmm_raw_output = output_path
db_type = self.cfg.db_type()
if db_type == 'gembase':
report = GembaseHMMReport(self.gene, output_path, self.cfg)
elif db_type == 'ordered_replicon':
report = OrderedHMMReport(self.gene, output_path, self.cfg)
else:
report = GeneralHMMReport(self.gene, output_path, self.cfg)
self._report = report
return report
