Mercurial > repos > yating-l > jbrowsearchivecreator
view util/Reader.py @ 19:62dee5369e80 draft
planemo upload for repository https://github.com/goeckslab/jbrowse-archive-creator.git commit afd782e8741a859506794bea92475f620265c50e
author | sargentl |
---|---|
date | Thu, 13 Sep 2018 17:43:23 -0400 |
parents | 43a700afd457 |
children |
line wrap: on
line source
import os import json import shutil import logging import codecs # Internal dependencies from datatypes.binary.Bam import Bam from datatypes.binary.BigWig import BigWig from datatypes.interval.Bed import Bed from datatypes.interval.BedSimpleRepeats import BedSimpleRepeats from datatypes.interval.BedSpliceJunctions import BedSpliceJunctions from datatypes.interval.BlastXml import BlastXml from datatypes.interval.Gff3 import Gff3 from datatypes.interval.Gtf import Gtf from datatypes.interval.BigPsl import BigPsl from datatypes.interval.BedBlatAlignments import BedBlatAlignments from datatypes.interval.BedBlastAlignments import BedBlastAlignments from datatypes.interval.Psl import Psl from datatypes.sequence.Fasta import Fasta from util import santitizer class Reader(object): DATATYPE_CLASS = [Bam, BigWig, Bed, BedSimpleRepeats, BedSpliceJunctions, BigPsl, BedBlatAlignments, BedBlastAlignments, BlastXml, Gff3, Gtf, Psl, Fasta] def __init__(self, input_json_file): self.inputFile = input_json_file self.args = self.loadJson() def loadJson(self): try: data_file = codecs.open(self.inputFile, 'r', 'utf-8') return json.load(data_file) except IOError: print ("Cannot find JSON file\n") exit(1) def getToolDir(self): try: return self.args["tool_directory"] except KeyError: print ("tool_directory is not defined in the input file!") exit(1) def getExtFilesPath(self): try: return self.args["extra_files_path"] except KeyError: print ("extra_files_path is not defined in the input file!") exit(1) def getUserEmail(self): try: return self.args["user_email"] except KeyError: print ("user_email is not defined in the input file!") exit(1) def getDebugMode(self): try: return self.args["debug_mode"] except KeyError: print ("debug_mode is not defined in the input file!") exit(1) def getTrackType(self): try: return self.args.get("feature_tracks_type") except KeyError: print ("feature tracks type is not defined in the input file!") exit(1) def getGenomeName(self): genome_name = santitizer.sanitize_name_input(self.args["genome_name"]) return genome_name def getRefGenome(self): array_inputs_reference_genome = self.args["fasta"] input_fasta_file = array_inputs_reference_genome["false_path"] input_fasta_file_name = santitizer.sanitize_name_input(array_inputs_reference_genome["name"]) # Add "fasta" extension because Apollo needs it to create annotation refseq_file = os.path.join(os.path.dirname(input_fasta_file), input_fasta_file_name + ".fasta") shutil.copyfile(input_fasta_file, refseq_file) genome_name = self.getGenomeName() reference_genome = Fasta(refseq_file, input_fasta_file_name, genome_name) return reference_genome def getTracksData(self): self.logger = logging.getLogger(__name__) all_datatype_dictionary = dict() for datatype in self.DATATYPE_CLASS: class_name = datatype.__name__ array_inputs = self.args.get(str(class_name)) if array_inputs: self.logger.debug("Creating %s objects\n", class_name) self.logger.debug("array_inputs: %s", array_inputs) all_datatype_dictionary.update(self.create_ordered_datatype_objects(datatype, array_inputs)) return all_datatype_dictionary def create_ordered_datatype_objects(self, ExtensionClass, array_inputs): """ Function which executes the creation all the necessary files / folders for a special Datatype, for TrackHub and update the dictionary of datatype :param ExtensionClass: :param array_inputs: :type ExtensionClass: Datatype :type array_inputs: list[string] """ datatype_dictionary = {} # TODO: Optimize this double loop for input_data in array_inputs: input_false_path = input_data["false_path"] # if the file is empty, skip the rest if os.path.isfile(input_false_path) and os.path.getsize(input_false_path) > 0: input_data["name"] = santitizer.sanitize_name_input(input_data["name"]) extensionObject = ExtensionClass(input_false_path, input_data) extensionObject.generateCustomTrack() datatype_dictionary.update({input_data["order_index"]: extensionObject}) self.logger.debug("%s object: %s has been created", ExtensionClass, input_data["name"]) else: self.logger.info("The input file: %s is empty, skip creating the track for this data", input_data["name"]) return datatype_dictionary