Source code for process_biobambam

#!/usr/bin/env python

"""
.. See the NOTICE file distributed with this work for additional information
   regarding copyright ownership.

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
   See the License for the specific language governing permissions and
   limitations under the License.
"""

from __future__ import print_function

import argparse

from basic_modules.workflow import Workflow
from utils import logger

from tool.biobambam_filter import biobambam


# ------------------------------------------------------------------------------

[docs]class process_biobambam(Workflow): # pylint disable=too-few-public-methods, invalid-name """ Functions for filtering FastQ alignments with BioBamBam. """ def __init__(self, configuration=None): """ Initialise the class Parameters ---------- configuration : dict a dictionary containing parameters that define how the operation should be carried out, which are specific to each Tool. """ logger.info("Processing BioBamBam Filtering") if configuration is None: configuration = {} self.configuration.update(configuration)
[docs] def run(self, input_files, metadata, output_files): """ Main run function for filtering FastQ aligned reads using BioBamBam. Parameters ---------- input_files : dict Location of the initial input files required by the workflow bam : str Location of BAM file metadata : dict Input file meta data associated with their roles bam : str output_files : dict Output file locations filtered : str Returns ------- output_files : dict Output file locations associated with their roles, for the output filtered : str Filtered version of the bam file output_metadata : dict Output metadata for the associated files in output_files filtered : Metadata """ output_files_generated = {} output_metadata = {} # Filter the bam b3f = biobambam(self.configuration) logger.progress("BioBamBam Filter", status="RUNNING") b3f_files, b3f_meta = b3f.run( {"input": input_files['bam']}, {"input": metadata['bam']}, {"bam": output_files["filtered"]} ) logger.progress("BioBamBam Filter", status="DONE") try: output_files_generated["filtered"] = b3f_files["bam"] output_metadata["filtered"] = b3f_meta["bam"] tool_name = output_metadata['filtered'].meta_data['tool'] output_metadata['filtered'].meta_data['tool_description'] = tool_name output_metadata['filtered'].meta_data['tool'] = "process_biobambam" output_files_generated["filtered_bai"] = b3f_files["bai"] output_metadata["filtered_bai"] = b3f_meta["bai"] tool_name = output_metadata['filtered_bai'].meta_data['tool'] output_metadata['filtered_bai'].meta_data['tool_description'] = tool_name output_metadata['filtered_bai'].meta_data['tool'] = "process_biobambam" except KeyError: logger.fatal("BioBamBam filtering failed") return output_files_generated, output_metadata
# ------------------------------------------------------------------------------ def main_json(config, in_metadata, out_metadata): """ Alternative main function ------------- This function launches the app using configuration written in two json files: config.json and input_metadata.json. """ # 1. Instantiate and launch the App print("1. Instantiate and launch the App") from apps.jsonapp import JSONApp app = JSONApp() result = app.launch(process_biobambam, config, in_metadata, out_metadata) # 2. The App has finished print("2. Execution finished; see " + out_metadata) print(result) return result # ------------------------------------------------------------------------------ if __name__ == "__main__": # Set up the command line parameters PARSER = argparse.ArgumentParser(description="BioBamBam filtering") PARSER.add_argument( "--config", help="Configuration file") PARSER.add_argument( "--in_metadata", help="Location of input metadata file") PARSER.add_argument( "--out_metadata", help="Location of output metadata file") PARSER.add_argument( "--local", action="store_const", const=True, default=False) # Get the matching parameters from the command line ARGS = PARSER.parse_args() CONFIG = ARGS.config IN_METADATA = ARGS.in_metadata OUT_METADATA = ARGS.out_metadata LOCAL = ARGS.local if LOCAL: import sys sys._run_from_cmdl = True # pylint: disable=protected-access RESULTS = main_json(CONFIG, IN_METADATA, OUT_METADATA) print(RESULTS)