Source code for epitopepredict.config

#!/usr/bin/env python

"""
    epitopepredict config
    Created March 2016
    Copyright (C) Damien Farrell
    This program 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.
    This program 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 this program; if not, write to the Free Software
    Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA  02111-1307  USA
"""

from __future__ import absolute_import, print_function
import sys, os, string, time
import types, re, subprocess, glob, shutil
from collections import OrderedDict
import pandas as pd
try:
    import configparser
except:
    import ConfigParser as configparser

path = os.path.dirname(os.path.abspath(__file__))
datadir = os.path.join(path, 'data')
home = os.path.expanduser("~")
config_path = os.path.join(home, '.config/epitopepredict')

baseoptions = OrderedDict()
baseoptions['base'] = {'predictors': 'tepitope',
                'mhc2_alleles':'HLA-DRB1*01:01,HLA-DRB1*04:01',
                'mhc1_alleles':'HLA-A*01:01',
                'mhc1_length': 11,
                'mhc2_length': 11,
                'n': 2, #number of alleles
                'cutoff_method': 'default',
                'cutoffs': .95, #percentile cutoff
                'sequence_file':'', #genbank/fasta file
                'peptide_file':'', #plain text list of peptides
                'path': 'results',
                'overwrite': 'no',
                'verbose':'no',
                'names': '', #subset of protein names
                'overwrite': 'no',
                'threads': 1,
                'compression': '',
                'fasta_header_sep': ' '}

baseoptions['iedbtools'] = {'iedbmhc1_path':'', 'iedbmhc2_path':'',
                            'iedb_mhc1_method':'IEDB_recommended',
                            'iedb_mhc2_method':'IEDB_recommended'}

baseoptions['neopredict'] = {'vcf_files':'', 'ensembl_release':'75',
                             'selection_method':'promiscuity'}

[docs]def write_default_config(): """Write a default config to users .config folder. Used to add global settings.""" fname = os.path.join(config_path, 'default.conf') os.makedirs(config_path, exist_ok=True) if not os.path.exists(fname): write_config(conffile=fname, defaults=baseoptions) return fname
[docs]def write_config(conffile='default.conf', defaults={}): """Write a default config file""" if not os.path.exists(conffile): cp = create_config_parser_from_dict(defaults, ['base','iedbtools']) cp.write(open(conffile,'w')) print ('wrote config file %s' %conffile) return conffile
[docs]def create_config_parser_from_dict(data=None, sections=['base','iedbtools'], **kwargs): """Helper method to create a ConfigParser from a dict of the form shown in baseoptions""" if data is None: data = baseoptions #print (data) cp = configparser.ConfigParser() for s in sections: cp.add_section(s) if not s in data: continue for name in sorted(data[s]): val = data[s][name] if type(val) is list: val = ','.join(val) cp.set(s, name, str(val)) #use kwargs to create specific settings in the appropriate section for s in cp.sections(): opts = cp.options(s) for k in kwargs: if k in opts: cp.set(s, k, kwargs[k]) return cp
[docs]def parse_config(conffile=None): """Parse a configparser file""" f = open(conffile,'r') cp = configparser.ConfigParser() try: cp.read(conffile) except Exception as e: print ('failed to read config file! check format') print ('Error returned:', e) return f.close() return cp
[docs]def get_options(cp): """Makes sure boolean opts are parsed""" from collections import OrderedDict options = OrderedDict() #options = cp._sections['base'] for section in cp.sections(): options.update( (cp._sections[section]) ) for o in options: for section in cp.sections(): try: options[o] = cp.getboolean(section, o) except: pass try: options[o] = cp.getint(section, o) except: pass return options
[docs]def check_options(opts): """Check for missing default options in dict. Meant to handle incomplete config files""" sections = list(baseoptions.keys()) for s in sections: defaults = dict(baseoptions[s]) for i in defaults: if i not in opts: opts[i] = defaults[i] return opts