def test_dynamic_cli_parser(options, commandline_input, expected):
"""Test if the parser creates the arguments properly.
Parameters
----------
options : dict
A Python dict with key being the full name of the option. The value is
a kwargs dict that corresponds to input arguments of the
ArgumentParser.add_argument function. Note: type argument values must be
surrounded by quotes.
commandline_input : list
A list containing commandline inputs.
expected : list
Containing the expected option input values.
Raises
-------
AssertionError
If the performed test failed.
"""
parser = argparse.ArgumentParser()
parser = dynamic_cli_options(parser=parser, options=options)
parsed_arguments = parser.parse_args(commandline_input)
assert parsed_arguments.input == expected[0]
assert parsed_arguments.output == expected[1]
assert parsed_arguments.choice == expected[2]
assert parsed_arguments.option_1 == expected[3]
assert parsed_arguments.option_2 == expected[4]
def _add_options(self):
"""Function for adding the parser and options to the given ArgumentParser.
Notes
-----
Uses the class constructor's subparser object for appending the tool's parser and options.
"""
# Create the description and options for the parser.
description = "Create a VDJ or VJ model by executing IGoR's commandline tool via a python subprocess using default " \
"model parameters."
parser_options = {
'-seqs': {
'metavar':
'<fasta/separated>',
'required':
'True',
'type':
'str',
'help':
"An input FASTA or separated data file with sequences for training the model."
},
'-ref': {
'metavar': ('<gene>', '<fasta>'),
'type':
'str',
'action':
'append',
'nargs':
2,
'required':
'True',
'help':
"A gene (V, D or J) followed by a reference genome FASTA file. Note: the FASTA reference genome files "
"needs to conform to IGMT annotation (separated by '|' character)."
},
'-type': {
'type': 'str.lower',
'choices': ['alpha', 'beta', 'light', 'heavy'],
'required': 'True',
'help':
'The type of model to create. (select one: %(choices)s).'
},
'-n-iter': {
'type':
'int',
'nargs':
'?',
'help':
'The number of inference iterations to perform when creating the model (default: {}).'
.format(get_config_data('BUILD', 'NUM_ITERATIONS', 'int'))
}
}
# Add the options to the parser and return the updated parser.
parser_tool = self.subparsers.add_parser('build',
help=description,
description=description)
parser_tool = dynamic_cli_options(parser=parser_tool,
options=parser_options)
def _add_options(self):
"""Function for adding the parser/options to the input ArgumentParser.
Notes
-----
Uses the class constructor's subparser object for appending the tool's parser and options.
"""
# Create the description and options for the parser.
description = "Create an alignment for the given reference genome FASTA files and seach the given alignment for " \
"conserved motif regions. The located CDR3 anchors can be used for the other tools."
parser_options = {
'-ref': {
'metavar': ('<gene>', '<fasta>'),
'type':
'str',
'action':
'append',
'nargs':
2,
'required':
'True',
'help':
"A gene (V or J) followed by a reference genome FASTA file. Note: the FASTA reference genome files "
"needs to conform to IGMT annotation (separated by '|' character)."
},
'-motif': {
'type':
'str.upper',
'action':
'append',
'help':
"The motifs to look for (default: 'V' {} and 'J' {} respectivly)."
.format(
get_config_data('LOCATE', 'V_MOTIFS').split(','),
get_config_data('LOCATE', 'J_MOTIFS').split(','))
}
}
# Add the options to the parser and return the updated parser.
parser_tool = self.subparsers.add_parser('locate',
help=description,
description=description)
parser_tool = dynamic_cli_options(parser=parser_tool,
options=parser_options)
def main():
"""Function to create the ArgumentParser containing the sub-options."""
# Setting up the logger.
logging.basicConfig(
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
level=os.environ.get("LOGLEVEL", "INFO")
)
logger = logging.getLogger(__name__)
# Create the parser with general commands and set the subparser.
description = 'Create IGoR models and calculate the generation probability of V(D)J and CDR3 sequences.'
parser_general_options = {
'-separator': {
'type': 'str.lower',
'choices': ['tab', 'semi-colon', 'comma'],
'help': 'The separator character used for input files and for writing new files (select one: %(choices)s) '
'(default: {}).'.format(
{'\t': 'tab', ';': 'semi-colon', ',': 'comma'}[get_config_data('COMMON', 'SEPARATOR')])
},
'-threads': {
'type': 'int',
'nargs': '?',
'help': 'The number of threads the program is allowed to use (default: {}).'
.format(get_config_data('COMMON', 'NUM_THREADS', 'int'))
},
'-set-wd': {
'type': 'str',
'nargs': '?',
'help': 'An optional location for writing files (default: {}).'.format(get_config_data('COMMON', 'WORKING_DIR'))
},
'-out-name': {
'type': 'str',
'nargs': '?',
'help': 'An optional output file name. If multiple files are created, the value is used as a prefix for the file '
'(default: {}).'.format(get_config_data('COMMON', 'OUT_NAME'))
},
'-config-file': {
'type': 'str',
'nargs': '?',
'help': 'An optional configuration file path for ImmunoProbs. This file is always combined with the default '
'configuration to make up missing values.'
},
}
parser = argparse.ArgumentParser(prog='immuno-probs', description=description)
parser = dynamic_cli_options(parser=parser, options=parser_general_options)
subparsers = parser.add_subparsers(
help='Supported immuno-probs options, command plus help displays more information for the option.',
dest='subparser_name'
)
# Add main- and suboptions to the subparser.
logger.info('Setting up ImmunoProbs commandline tools')
try:
cas = ConvertAdaptiveSequences(subparsers=subparsers)
lca = LocateCdr3Anchors(subparsers=subparsers)
bim = BuildIgorModel(subparsers=subparsers)
ges = GenerateSequences(subparsers=subparsers)
evs = EvaluateSequences(subparsers=subparsers)
except (TypeError) as err:
logger.error(str(err))
return
# Parse the commandline arguments and set variables.
logger.info('Parsing/formatting commandline arguments')
try:
parsed_arguments = parser.parse_args()
if parsed_arguments.config_file is not None:
set_config_data(parsed_arguments.config_file)
if parsed_arguments.separator is not None:
set_separator(parsed_arguments.separator)
if parsed_arguments.threads is not None:
set_num_threads(parsed_arguments.threads)
if parsed_arguments.set_wd is not None:
set_working_dir(parsed_arguments.set_wd)
if parsed_arguments.out_name is not None:
set_out_name(parsed_arguments.out_name)
except (TypeError, ValueError, IOError) as err:
logger.error(str(err))
return
# Create the directory paths for temporary files.
logger.info('Setting up temporary system directory')
try:
output_dir = get_config_data('COMMON', 'WORKING_DIR')
if get_config_data('EXPERT', 'USE_SYSTEM_TEMP', 'bool'):
temp_dir = create_directory_path(os.path.join(tempfile.gettempdir(), get_config_data('EXPERT', 'TEMP_DIR')))
else:
temp_dir = create_directory_path(os.path.join(output_dir, get_config_data('EXPERT', 'TEMP_DIR')))
set_working_dir(temp_dir)
except (IOError, AttributeError) as err:
logger.error(str(err))
return
# Execute the correct tool based on given subparser name.
logger.info('Executing selected ImmunoProbs tool (%s)', parsed_arguments.subparser_name)
if parsed_arguments.subparser_name == 'convert':
cas.run(args=parsed_arguments, output_dir=output_dir)
elif parsed_arguments.subparser_name == 'locate':
lca.run(args=parsed_arguments, output_dir=output_dir)
elif parsed_arguments.subparser_name == 'build':
bim.run(args=parsed_arguments, output_dir=output_dir)
elif parsed_arguments.subparser_name == 'generate':
ges.run(args=parsed_arguments, output_dir=output_dir)
elif parsed_arguments.subparser_name == 'evaluate':
evs.run(args=parsed_arguments, output_dir=output_dir)
else:
logger.error('No tool selected, run help command to show all supported tools')
# Finally, delete the temporary directory if specified.
if get_config_data('EXPERT', 'REMOVE_TEMP_DIR', 'bool'):
logger.info('Cleaning up working directory')
rmtree(temp_dir, ignore_errors=True)
def _add_options(self):
"""Function for adding the parser and options to the given ArgumentParser.
Notes
-----
Uses the class constructor's subparser object for appending the tool's parser and options.
"""
# Create the description and options for the parser.
description = "Evaluate VDJ or VJ sequences given a custom IGoR model (or build-in) through IGoR's commandline " \
"tool via python subprocess. Or evaluate CDR3 sequences with the model by using OLGA."
parser_options = {
'-seqs': {
'metavar': '<fasta/separated>',
'required': 'True',
'type': 'str',
'help': "An input FASTA or separated data file with sequences to evaluate."
},
'-model': {
'type': 'str.lower',
'choices': get_default_model_file_paths(),
'required': '-custom-model' not in sys.argv,
'help': "Specify a pre-installed model for evaluation. (required if -custom-model NOT specified) "
"(select one: %(choices)s)."
},
'-ref': {
'metavar': ('<gene>', '<fasta>'),
'type': 'str',
'action': 'append',
'nargs': 2,
'required': ('-cdr3' not in sys.argv and '-custom-model' in sys.argv),
'help': "A gene (V, D or J) followed by a reference genome FASTA file. Note: the FASTA reference genome files "
"needs to conform to IGMT annotation (separated by '|' character). (required for -custom-model "
"without -cdr3)"
},
'-type': {
'type': 'str.lower',
'choices': ['alpha', 'beta', 'light', 'heavy'],
'required': ('-custom-model' in sys.argv),
'help': 'The type of the custom model to use. (select one: %(choices)s) (required for -custom-model).'
},
'-custom-model': {
'metavar': ('<parameters>', '<marginals>'),
'type': 'str',
'nargs': 2,
'help': 'A IGoR parameters file followed by an IGoR marginals file.'
},
'-anchor': {
'metavar': ('<gene>', '<separated>'),
'type': 'str',
'action': 'append',
'nargs': 2,
'required': ('-cdr3' in sys.argv and '-custom-model' in sys.argv),
'help': 'A gene (V or J) followed by a CDR3 anchor separated data file. Note: need to contain gene in the '
'first column, anchor index in the second and gene function in the third (required for -cdr3 and '
'-custom-model).'
},
'-cdr3': {
'action': 'store_true',
'help': 'If specified (True), CDR3 sequences should be evaluated, otherwise V(D)J sequences (default: {}).'
.format(get_config_data('EVALUATE', 'EVAL_CDR3', 'bool'))
},
'-use-allele': {
'action': 'store_true',
'help': "If specified (True), in combination with the '-cdr3' flag, the allele information from the gene "
"choice fields is used to calculate the generation probability (default: {})."
.format(get_config_data('EVALUATE', 'USE_ALLELE', 'bool'))
},
}
# Add the options to the parser and return the updated parser.
parser_tool = self.subparsers.add_parser('evaluate', help=description, description=description)
parser_tool = dynamic_cli_options(parser=parser_tool, options=parser_options)
def _add_options(self):
"""Function for adding the parser and options to the given ArgumentParser.
Notes
-----
Uses the class constructor's subparser object for appending the
tool's parser and options.
"""
# Create the description and options for the parser.
description = "Generate VDJ or VJ sequences given a custom IGoR model (or build-in) by executing IGoR's " \
"commandline tool via python subprocess. Or generate CDR3 sequences from the model by using OLGA."
parser_options = {
'-model': {
'type':
'str.lower',
'choices':
get_default_model_file_paths(),
'required':
'-custom-model' not in sys.argv,
'help':
"Specify a pre-installed model for generation. (required if -custom-model NOT specified) "
"(select one: %(choices)s)."
},
'-type': {
'type':
'str.lower',
'choices': ['alpha', 'beta', 'light', 'heavy'],
'required': ('-custom-model' in sys.argv),
'help':
'The type of the custom model to use. (select one: %(choices)s) (required for -custom-model).'
},
'-anchor': {
'metavar': ('<gene>', '<separated>'),
'type':
'str',
'action':
'append',
'nargs':
2,
'required': ('-cdr3' in sys.argv
and '-custom-model' in sys.argv),
'help':
'A gene (V or J) followed by a CDR3 anchor separated data file. Note: need to contain gene in the '
'first column, anchor index in the second and gene function in the third (required for -cdr3 and '
'-custom-model).'
},
'-custom-model': {
'metavar': ('<parameters>', '<marginals>'),
'type':
'str',
'nargs':
2,
'help':
'A IGoR parameters file followed by an IGoR marginals file.'
},
'-n-gen': {
'type':
'int',
'nargs':
'?',
'help':
'The number of sequences to generate (default: {}).'.format(
get_config_data('GENERATE', 'NUM_GENERATE', 'int'))
},
'-cdr3': {
'action':
'store_true',
'help':
'If specified (True), CDR3 sequences are generated, otherwise V(D)J sequences (default: {}).'
.format(get_config_data('GENERATE', 'EVAL_CDR3', 'bool'))
},
}
# Add the options to the parser and return the updated parser.
parser_tool = self.subparsers.add_parser('generate',
help=description,
description=description)
parser_tool = dynamic_cli_options(parser=parser_tool,
options=parser_options)
def _add_options(self):
"""Function for adding the parser/options to the input ArgumentParser.
Notes
-----
Uses the class constructor's subparser object for appending the tool's parser and options.
"""
# Create the description and options for the parser.
description = "Converts the full length (VDJ for productive, unproductive and the total) and CDR3 sequences from a " \
"given adaptive input sequence file. The VDJ sequences can be used to build a new IGoR model and the CDR3 " \
"sequences can be evaluated."
parser_options = {
'-seqs': {
'metavar':
'<separated>',
'required':
'True',
'type':
'str',
'help':
"An input separated data file with sequences to convert using the defined column names."
},
'-ref': {
'metavar': ('<gene>', '<fasta>'),
'type':
'str',
'action':
'append',
'nargs':
2,
'required':
'True',
'help':
"A gene (V or J) followed by a reference genome FASTA file. Note: the FASTA reference genome files "
"needs to conform to IGMT annotation (separated by '|' character)."
},
'-n-random': {
'type':
'int',
'nargs':
'?',
'help':
"Number of random sequences (subset) to convert from the given file (default: {})."
.format(get_config_data('CONVERT', 'NUM_RANDOM', 'int'))
},
'-use-allele': {
'action':
'store_true',
'help':
"If specified (True), the allele information from the resolved gene fields are used to when "
"reconstructing the gene choices (default: {}).".format(
get_config_data('CONVERT', 'USE_ALLELE', 'bool'))
},
}
# Add the options to the parser and return the updated parser.
parser_tool = self.subparsers.add_parser('convert',
help=description,
description=description)
parser_tool = dynamic_cli_options(parser=parser_tool,
options=parser_options)