Mercurial > repos > crs4 > seal_galaxy
view seal-galaxy-cc1b1911/seal/split_demux_output.py @ 0:244073d9abc1 draft default tip
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author | crs4 |
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date | Wed, 15 Oct 2014 09:41:10 -0400 |
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#!/usr/bin/env python # Copyright (C) 2011-2014 CRS4. # # This file is part of Seal. # # Seal 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. # # Seal 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 Seal. If not, see <http://www.gnu.org/licenses/>. import logging import os import sys import pydoop.hdfs as phdfs from hadoop_galaxy.pathset import FilePathset Debug = os.environ.get('DEBUG', None) logging.basicConfig(level=logging.DEBUG if Debug else logging.INFO) def usage_error(msg=None): if msg: print >> sys.stderr, msg print >> sys.stderr, "Usage: %s OUTPUT_ID DEMUX_OUTPUT_PATHSET NEW_FILE_DIR" % os.path.basename(sys.argv[0]) sys.exit(1) class PathsetWriter(object): # The format is dictated by the Galaxy documentation for tools that produce a variable # number of output files: http://wiki.g2.bx.psu.edu/Admin/Tools/Multiple%20Output%20Files # We fix the file_type to 'pathset'. Galaxy_output_name_template = "primary_%s_%s_visible_pathset" def __init__(self, output_dir, output_id, data_type): self.output_dir = output_dir self.output_id = output_id self.data_type = data_type def write_pathset(self, dataset_path, name): """ dataset_path: the path of the dataset to which the new pathset needs to refer name: name of dataset to appear in Galaxy """ if not name: raise RuntimeError("Blank dataset name") sanitized_name = name.replace('_', '-') # replace _ with - or galaxy won't like the name opathset = FilePathset(dataset_path) opathset.set_datatype(self.data_type) opath = os.path.join(self.output_dir, self.Galaxy_output_name_template % (self.output_id, sanitized_name)) logging.debug("writing dataset path %s to pathset file %s", dataset_path, opath) with open(opath, 'w') as f: opathset.write(f) return self # to allow chaining def main(): if len(sys.argv) != 4: usage_error("Wrong number of arguments") output_id, demux_data, dest_dir = sys.argv[1:] logging.debug("input args: output_id, demux_data, dest_dir = %s", sys.argv[1:]) ipathset = FilePathset.from_file(demux_data) logging.debug("input path set: %s", ipathset) writer = PathsetWriter(dest_dir, output_id, ipathset.datatype) # ipathset points to the output directory given to demux. Inside it # we should find all the project/sample subdirectories, plus 'unknown' (if there # were any reads not attributable to a sample). So, we list the output # dir and collect sample names and their paths. In theory, the pathset # we receive as input should only contains the output from one demux; thus # a sample should only occur once. if len(ipathset) != 1: raise RuntimeError("Unexpected demux output pathset size of %d. Expected 1 (the demux output path)" % len(ipathset)) project_paths = \ filter(lambda p: os.path.basename(p)[0] not in ('_', '.'), # filter hadoop and regular hidden files phdfs.ls(iter(ipathset).next()) # List the contents of the pathset. ls produces absolute paths ) # Each project_path points to a directory containing the data from one project. # There may also be a directory 'unknown' for project_path in project_paths: if os.path.basename(project_path).lower() == 'unknown': writer.write_pathset(project_path, 'unknown') else: for project_sample_path in phdfs.ls(project_path): # take the last two elements of the path -- should be project, sample complete_sample_name = "%s.%s" % tuple(project_sample_path.split(os.path.sep)[-2:]) writer.write_pathset(project_sample_path, complete_sample_name) if __name__ == '__main__': main()