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29 results

gga_load_data.py

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  • gga_load_data.py 15.93 KiB
    #!/usr/bin/env python3
    # -*- coding: utf-8 -*-
    import re
    
    import argparse
    import os
    import logging
    import sys
    import time
    import json
    import yaml
    from bioblend.galaxy.objects import GalaxyInstance
    
    import utilities
    import utilities_bioblend
    import species_data
    import constants
    
    """ 
    gga_load_data.py
    
    Usage: $ python3 gga_load_data.py -i input_example.yml --config config.yml [OPTIONS]
    
    Do not call this script before the galaxy container is ready
    """
    
    class LoadData(species_data.SpeciesData):
        """
        Child of SpeciesData
    
        Contains methods and attributes to copy data into the galaxy instance's library of this given organism
    
        Optional data file formatting
    
        """
        def __init__(self, parameters_dictionary):
            self.existing_folders_cache = {}
            self.bam_metadata_cache = {}
            super().__init__(parameters_dictionary)
    
        def purge_histories(self):
            """
            Delete all histories in the instance
    
            For testing purposes
    
            :return:
            """
    
            histories = self.instance.histories.get_histories()
            for h in histories:
                self.instance.histories.delete_history(history_id=h["id"])
    
            return histories
    
        def setup_library(self):
            """
            Create a "Project Data" library in galaxy, mirroring the "src_data" folder of the current organism
            directory tree
    
            :return:
            """
    
            data_dir_root=os.path.join(self.get_species_dir(), constants.HOST_DATA_DIR)
    
            gio = GalaxyInstance(url=self.instance_url,
                                 email=self.config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
                                 password=self.config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]
                                 )
    
            logging.info("Looking for project data in %s" % data_dir_root)
            folders = dict()
            post_renaming = {}
    
            for root, dirs, files in os.walk(data_dir_root, followlinks=True):
                file_list = [os.path.join(root, filename) for filename in files]
                folders[root] = file_list
    
            if folders:
                # Delete pre-existing lib (probably created by a previous call)
                existing = gio.libraries.get_previews(name=constants.GALAXY_LIBRARY_NAME)
                for lib in existing:
                    if not lib.deleted:
                        logging.info('Pre-existing {0} library {1} found, removing it'.format(constants.GALAXY_LIBRARY_NAME, lib.id))
                        gio.libraries.delete(lib.id)
    
                logging.info("Creating new %s library" % constants.GALAXY_LIBRARY_NAME)
                prj_lib = gio.libraries.create(constants.GALAXY_LIBRARY_NAME, constants.GALAXY_LIBRARY_DESC)
                library_id = prj_lib.id  # project data folder/library
                logging.info("Library for {0}: {1}".format(self.full_name, library_id))
    
                for fname, files in folders.items():
                    if fname and files:
                        folder_name = re.sub(re.compile(data_dir_root + "/"), "", str(fname))
                        logging.info("Creating folder: %s" % folder_name)
                        folder = self.create_deep_folder(prj_lib, folder_name)
    
                        for single_file in files:
                            ftype = 'auto'
    
                            clean_name = os.path.basename(single_file)
                            clean_name = clean_name.replace('_', ' ')  # Not a good idea for files with a complex name (solution --> rename file or remove the replace)
    
                            if single_file.endswith('.bam'):
                                ftype = 'bam'
                                bam_label = self.get_bam_label(fname, os.path.basename(single_file))
                                if bam_label:
                                    clean_name = bam_label
                                else:
                                    clean_name = os.path.splitext(clean_name)[0]
                                if clean_name.endswith("Aligned.sortedByCoord.out"):  # Stupid thing for many local bam files
                                    clean_name = clean_name[:-25]
                            elif single_file.endswith('.fasta') or single_file.endswith('.fa') or single_file.endswith(
                                    '.faa') or single_file.endswith('.fna'):
                                ftype = 'fasta'
                            elif single_file.endswith('.gff') or single_file.endswith('.gff3'):
                                ftype = 'gff3'
                                clean_name = os.path.splitext(clean_name)[0]
                            elif single_file.endswith('.xml'):
                                ftype = 'xml'
                            elif single_file.endswith('.bw'):
                                ftype = 'bigwig'
                            elif single_file.endswith('.gaf'):
                                ftype = 'tabular'
                            elif single_file.endswith('_tree.txt'):
                                # We don't want to pollute the logs with 20000 useless lines
                                logging.debug("Skipping useless file '%s'" % single_file)
                                continue
                            elif single_file.endswith('.tar.gz') and 'newick' in fname:
                                ftype = 'tar'
                            elif single_file.endswith('.bai') or single_file.endswith('.tar.gz') or single_file.endswith(
                                    '.tar.bz2') or single_file.endswith('.raw') or single_file.endswith('.pdf'):
                                logging.info("Skipping useless file '%s'" % single_file)
                                continue
    
                            single_file_relative_path = re.sub(data_dir_root, constants.CONTAINER_DATA_DIR_ROOT, single_file)
                            single_file_path_in_container=os.path.join(constants.CONTAINER_DATA_DIR_ROOT, single_file_relative_path)
    
                            logging.info("Adding file '%s' with type '%s' and name '%s'" % (single_file_path_in_container, ftype, clean_name))
                            datasets = prj_lib.upload_from_galaxy_fs(
                                single_file_path_in_container,
                                folder=folder,
                                link_data_only='link_to_files',
                                file_type=ftype,
                                tag_using_filenames=False
                            )
    
                            # Rename dataset
                            # Need to do it AFTER the datasets import is finished, otherwise the new names are not kept by galaxy
                            # (erased by metadata generation I guess)
    
                            # Doesn't work for some reason (LibraryDataset not subscriptable, __getitem__() not implemented)
                            # post_renaming[datasets[0]] = clean_name
    
                        time.sleep(1)
    
            # # Wait for uploads to complete
            # logging.info("Waiting for import jobs to finish... please wait")
            #
            # # Checking job state (only necessary if ran using SLURM)
            # while True:
            #     try:
            #         # "C" state means the job is completed, no need to wait for it
            #         ret = subprocess.check_output("squeue | grep -v \"C debug\" | grep -v \"JOBID\" || true",
            #                                       shell=True)
            #         if not len(ret):
            #             break
            #         time.sleep(3)
            #     except subprocess.CalledProcessError as inst:
            #         if inst.returncode == 153:  # queue is empty
            #             break
            #         else:
            #             raise
            #
            # time.sleep(10)
    
            # Batch renaming --> Throws a critical error at the moment
            # logging.info("Import finished, now renaming datasets with pretty names")
            # for dataset in post_renaming:
            #     dataset.update(name=post_renaming[dataset])
    
            logging.info("Finished importing data")
    
        def create_deep_folder(self, prj_lib, path, parent_folder=None, deep_name=""):
            """
            Create a folder inside a folder in a galaxy library
            Recursive
    
            :param prj_lib:
            :param path:
            :param parent_folder:
            :param deep_name:
            :return:
            """
    
            segments = path.split(os.sep)
    
            deeper_name = os.sep.join([deep_name, segments[0]])
            if deeper_name in self.existing_folders_cache:
                new_folder = self.existing_folders_cache[deeper_name]
            else:
                new_folder = prj_lib.create_folder(segments[0], base_folder=parent_folder)
                self.existing_folders_cache[deeper_name] = new_folder
    
            if len(segments) > 1:
                new_folder = self.create_deep_folder(prj_lib, os.sep.join(segments[1:]), new_folder, deeper_name)
    
            return new_folder
    
        def get_bam_label(self, dirname, bam_file):
    
            bam_id = bam_file
            if bam_id.endswith('.bam'):
                bam_id = bam_id[:-4]
    
            if dirname in self.bam_metadata_cache:
                if bam_id in self.bam_metadata_cache[dirname] and 'label' in self.bam_metadata_cache[dirname][bam_id] and self.bam_metadata_cache[dirname][bam_id]['label']:
                    return self.bam_metadata_cache[dirname][bam_id]['label']
                else:
                    return None
            else:
                meta_file = os.path.join(dirname, 'metadata.yml')
                if os.path.exists(meta_file):
                    with open(meta_file) as f:
                        self.bam_metadata_cache[dirname] = yaml.safe_load(f)
                        logging.info("Found metadata in %s " % meta_file)
                else:
                    self.bam_metadata_cache[dirname] = {}
                    logging.info("Did not find metadata in %s " % meta_file)
                return self.get_bam_label(dirname, bam_file)
    
    def remove_homo_sapiens_from_db(instance, history_id):
        """
        Run the GMOD tool to remove the "Homo sapiens" default organism from the original database
        Will do nothing if H. sapiens isn't in the database
    
        """
    
        logging.debug("Getting 'Homo sapiens' ID in chado database")
        get_sapiens_id_json_output = utilities_bioblend.run_tool_and_download_single_output_dataset(
            instance,
            tool_id=constants.GET_ORGANISMS_TOOL, # If this version if not found, Galaxy will use the one that is found
            history_id=history_id,
            tool_inputs={"genus": "Homo", "species": "sapiens"},
            time_sleep = 10
        )
    
        logging.info("Deleting Homo 'sapiens' in the instance's chado database")
        try:
            get_sapiens_id_final_output = json.loads(get_sapiens_id_json_output)[0]
            sapiens_id = str(get_sapiens_id_final_output["organism_id"])  # needs to be str to be recognized by the chado tool
            utilities_bioblend.run_tool(
                instance,
                tool_id=constants.DELETE_ORGANISMS_TOOL,
                history_id=history_id,
                tool_inputs={"organism": sapiens_id})
        except IndexError:
            logging.error("Homo sapiens isn't in the instance's chado database (IndexError)")
            pass
    
    if __name__ == "__main__":
        parser = argparse.ArgumentParser(description="Load data into Galaxy library")
    
        parser.add_argument("input",
                            type=str,
                            help="Input file (yml)")
    
        parser.add_argument("-v", "--verbose",
                            help="Increase output verbosity",
                            action="store_true")
    
        parser.add_argument("-vv", "--very_verbose",
                            help="Increase output verbosity",
                            action="store_true")
    
        parser.add_argument("--config",
                            type=str,
                            help="Config path, default to 'examples/config.yml'")
    
        parser.add_argument("--main-directory",
                            type=str,
                            help="Where the stack containers will be located, defaults to working directory")
    
        args = parser.parse_args()
    
        if args.verbose or args.very_verbose:
            logging.basicConfig(level=logging.DEBUG)
        else:
            logging.basicConfig(level=logging.INFO)
    
        if not args.very_verbose:
            logging.getLogger("urllib3").setLevel(logging.INFO)
            logging.getLogger("bioblend").setLevel(logging.INFO)
    
        # Parsing the config file if provided, using the default config otherwise
        if args.config:
            config_file = os.path.abspath(args.config)
        else:
            config_file = os.path.join(os.path.dirname(os.path.realpath(sys.argv[0])), constants.DEFAULT_CONFIG)
        config = utilities.parse_config(config_file)
    
        main_dir = None
        if not args.main_directory:
            main_dir = os.getcwd()
        else:
            main_dir = os.path.abspath(args.main_directory)
    
        sp_dict_list = utilities.parse_input(args.input)
    
        unique_sp_dict_list = utilities.get_unique_species_dict_list(sp_dict_list=sp_dict_list)
    
        for sp_dict in unique_sp_dict_list:
    
            # Creating an instance of load_data_for_current_species object
            load_data_for_current_species = LoadData(parameters_dictionary=sp_dict)
    
            # Starting
            logging.info("gga_load_data.py called for {0} {1}".format(load_data_for_current_species.genus, load_data_for_current_species.species))
    
            # Setting some of the instance attributes
            load_data_for_current_species.main_dir = main_dir
            load_data_for_current_species.species_dir = os.path.join(load_data_for_current_species.main_dir,
                                                                     load_data_for_current_species.genus_species +
                                                                     "/")
    
            # Parse the config yaml file
            load_data_for_current_species.config = config
            # Set the instance url attribute -- Does not work with localhost on scratch (ALB)
            load_data_for_current_species.instance_url = "http://localhost:{0}/sp/{1}/galaxy/".format(
                    load_data_for_current_species.config[constants.CONF_ALL_HTTP_PORT],
                    load_data_for_current_species.genus_species)
    
            # Check the galaxy container state and proceed if the galaxy services are up and running
            if utilities_bioblend.check_galaxy_state(network_name=load_data_for_current_species.genus_species,
                                            script_dir=load_data_for_current_species.script_dir):
    
                # Create the Galaxy instance
                load_data_for_current_species.instance = utilities_bioblend.get_galaxy_instance(
                    instance_url=load_data_for_current_species.instance_url,
                    email=load_data_for_current_species.config[constants.CONF_GALAXY_DEFAULT_ADMIN_EMAIL],
                    password=load_data_for_current_species.config[constants.CONF_GALAXY_DEFAULT_ADMIN_PASSWORD]
                )
    
                # Load the datasets into a galaxy library
                logging.info("Setting up library for {0} {1}".format(load_data_for_current_species.genus, load_data_for_current_species.species))
                load_data_for_current_species.setup_library()
                logging.debug("Successfully set up library in galaxy for {0} {1}".format(load_data_for_current_species.genus, load_data_for_current_species.species))
    
                # Get default history
                history_id = utilities_bioblend.get_history(
                    instance=load_data_for_current_species.instance,
                    history_name="Unnamed history")
    
                # Remove H. sapiens from database if here
                # TODO: set a dedicated history for removing H. sapiens (instead of doing it into a species history)
                remove_homo_sapiens_from_db(
                    instance=load_data_for_current_species.instance,
                    history_id=history_id
                )
    
                # logging.info("Importing datasets into history for %s" % load_data_for_current_species.full_name)
                # load_data_for_current_species.import_datasets_into_history()  # Option "--load-history"
                # load_data_for_current_species.purge_histories()  # Testing purposes
    
                logging.info("Data successfully loaded and imported for {0} {1}".format(load_data_for_current_species.genus, load_data_for_current_species.species))
    
            else:
                logging.critical("The galaxy container for {0} {1} is not ready yet".format(load_data_for_current_species.genus, load_data_for_current_species.species))
                sys.exit()