Mercurial > repos > matthias > data_manager_dada2
view data_manager/data_manager.py @ 2:b4c303665291 draft
planemo upload for repository https://github.com/bernt-matthias/mb-galaxy-tools/tree/master/data_managers/data_manager_dada2 commit eec95ccc2189355061112ea2785b82f13a0fa077-dirty
author | matthias |
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date | Fri, 08 Mar 2019 05:38:44 -0500 |
parents | 419037fe1150 |
children | 3a4ee8bf012a |
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import argparse import json import os import shutil import sys import zipfile try: # For Python 3.0 and later from urllib.request import Request, urlopen except ImportError: # Fall back to Python 2 imports from urllib2 import Request, urlopen DEFAULT_TAXLEVELS="Kingdom,Phylum,Class,Order,Family,Genus,Species" FILE2NAME = { "silva132":"Silva version 132", "silva128":"Silva version 128", "rdp16":"RDP trainset 16", "rdp14":"RDP trainset 14", "gg13.84":"GreenGenes version 13.8", "unite8.0_fungi": "UNITE: General Fasta release 8.0 for Fungi", "unite8.0_fungi_singletons": "UNITE: General Fasta release 8.0 for Fungi including global and 97% singletons", "unite8.0_euka": "UNITE: General Fasta release 8.0 for all Eukaryotes", "unite8.0_euka_singletons": "UNITE: General Fasta release 8.0 for all Eukaryotes including global and 97% singletons", "RefSeq_RDP_2018_05": "NCBI RefSeq 16S rRNA database supplemented by RDP (05/2018)", "gtdb_2018_11_20": "GTDB: Genome Taxonomy Database (Bacteria & Archaea) (11/2018)", "hitdb1": "HitDB version 1 (Human InTestinal 16S rRNA)", "silva132_euk_18S": "Silva version 132 Eukaryotic 18S", "PR2v4.11.1": "Protist Ribosomal Reference database (PR2) 4.11.1" } FILE2TAXURL = { "silva132":"https://zenodo.org/record/1172783/files/silva_nr_v132_train_set.fa.gz?download=1", "silva128":"https://zenodo.org/record/824551/files/silva_nr_v128_train_set.fa.gz?download=1", "rdp16":"https://zenodo.org/record/801828/files/rdp_train_set_16.fa.gz?download=1", "rdp14":"https://zenodo.org/record/158955/files/rdp_train_set_14.fa.gz?download=1", "unite8.0_fungi": "https://files.plutof.ut.ee/public/orig/EB/0C/EB0CCB3A871B77EA75E472D13926271076904A588D2E1C1EA5AFCF7397D48378.zip", "unite8.0_fungi_singletons": "https://files.plutof.ut.ee/doi/06/A2/06A2C86256EED64085670EB0C54B7115F6DAC8F311C656A9CB33E386CFABA0D0.zip", "unite8.0_euka": "https://files.plutof.ut.ee/public/orig/D6/96/D69658E99589D888A207805A744019DBA4EC0F603E67E53732767B3E03A5AA86.zip", "unite8.0_euka_singletons": "https://files.plutof.ut.ee/doi/C2/20/C22034350E32D6AD7E5D1AF3F8BC487E34DA0BE25602B0E748906005CE6ADA97.zip", "gg13.84":"https://zenodo.org/record/158955/files/gg_13_8_train_set_97.fa.gz?download=1", "RefSeq_RDP_2018_05": "https://zenodo.org/record/2541239/files/RefSeq-RDP16S_v2_May2018.fa.gz?download=1", "gtdb_2018_11_20": "https://zenodo.org/record/2541239/files/GTDB_bac-arc_ssu_r86.fa.gz?download=1", "hitdb1": "https://zenodo.org/record/159205/files/hitdb_v1.00.fa.gz?download=1", "silva132_euk_18S": "https://zenodo.org/record/1447330/files/silva_132.18s.99_rep_set.dada2.fa.gz?download=1", "PR2v4.11.1": "https://github.com/pr2database/pr2database/releases/download/4.11.1/pr2_version_4.11.1_dada2.fasta.gz" } FILE2SPECIESURL = { "silva132":"https://zenodo.org/record/1172783/files/silva_species_assignment_v132.fa.gz?download=1", "silva128":"https://zenodo.org/record/824551/files/silva_species_assignment_v128.fa.gz?download=1", "rdp16":"https://zenodo.org/record/801828/files/rdp_species_assignment_16.fa.gz?download=1", "rdp14":"https://zenodo.org/record/158955/files/rdp_species_assignment_14.fa.gz?download=1" } FILE2TAXLEVELS = { "PR2v4.11.1": "Kingdom,Supergroup,Division,Class,Order,Family,Genus,Species" } def url_download(url, fname, workdir): """ download url to workdir/fname return the path to the resulting file """ file_path = os.path.join(workdir, fname) if not os.path.exists(workdir): os.makedirs(workdir) src = None dst = None try: req = Request(url) src = urlopen(req) with open(file_path, 'wb') as dst: while True: chunk = src.read(2**10) if chunk: dst.write(chunk) else: break finally: if src: src.close() #special treatment of UNITE DBs: they are zip files containing two fasta (xyz.fasta and developer/xyz.fasta) if fname.startswith("unite"): import glob import gzip import shutil import zipfile # unzip download zip_ref = zipfile.ZipFile(file_path, 'r') zip_ref.extractall(workdir) zip_ref.close() # gzip top level fasta file fastas = glob.glob("*fasta") if len(fastas) != 1: msg = "UNITE download %s contained more than one or no fasta file" raise Exception(msg) with open(fastas[0], 'rb') as f_in: with gzip.open(file_path, 'wb') as f_out: shutil.copyfileobj(f_in, f_out) return fname def main(dataset, outjson): params = json.loads(open(outjson).read()) target_directory = params['output_data'][0]['extra_files_path'] os.mkdir(target_directory) output_path = os.path.abspath(os.path.join(os.getcwd(), 'dada2')) workdir = os.path.join(os.getcwd(), 'dada2') path = url_download( FILE2TAXURL[dataset], dataset+".taxonomy", workdir) data_manager_json = {"data_tables":{}} data_manager_entry = {} data_manager_entry['value'] = dataset data_manager_entry['name'] = FILE2NAME[dataset] data_manager_entry['path'] = dataset+".taxonomy" data_manager_entry['taxlevels'] = FILE2TAXLEVELS.get(dataset, DEFAULT_TAXLEVELS) data_manager_json["data_tables"]["dada2_taxonomy"] = data_manager_entry if FILE2SPECIESURL.get(dataset, False ): path = url_download( FILE2SPECIESURL[dataset], dataset+".species", workdir) data_manager_entry = {} data_manager_entry['value'] = dataset data_manager_entry['name'] = FILE2NAME[dataset] data_manager_entry['path'] = dataset+".species" data_manager_json["data_tables"]["dada2_species"] = data_manager_entry for filename in os.listdir(workdir): shutil.move(os.path.join(output_path, filename), target_directory) sys.stderr.write("JSON %s" %json.dumps(data_manager_json)) file(outjson, 'w').write(json.dumps(data_manager_json)) if __name__ == '__main__': parser = argparse.ArgumentParser(description='Create data manager json.') parser.add_argument('--out', action='store', help='JSON filename') parser.add_argument('--dataset', action='store', help='Download data set name') args = parser.parse_args() main(args.dataset, args.out)