Mercurial > repos > iuc > data_manager_dada2
view data_manager/data_manager.py @ 0:f57c13f5878b draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/data_managers/data_manager_dada2 commit f8b6b6e72914ad6bcca8423dfa03f59bde80992e"
author | iuc |
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date | Fri, 08 Nov 2019 18:47:32 -0500 |
parents | |
children | bf7b2c14cabc |
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import argparse import json import os 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 = { "silva_132": "Silva version 132", "silva_128": "Silva version 128", "rdp_16": "RDP trainset 16", "rdp_14": "RDP trainset 14", "greengenes_13.84": "GreenGenes version 13.84", "unite_8.0_fungi": "UNITE: General Fasta release 8.0 for Fungi", "unite_8.0_fungi_singletons": "UNITE: General Fasta release 8.0 for Fungi including global and 97% singletons", "RefSeq_RDP_2018_05": "NCBI RefSeq 16S rRNA database supplemented by RDP (05/2018)", "gtdb_2018_11": "GTDB: Genome Taxonomy Database (Bacteria & Archaea) (11/2018)", "hitdb_1": "HitDB version 1 (Human InTestinal 16S rRNA)", "silva_euk_18S_132": "Silva version 132 Eukaryotic 18S", "PR2_4.11.1": "Protist Ribosomal Reference database (PR2) 4.11.1" } FILE2TAXURL = { "silva_132": "https://zenodo.org/record/1172783/files/silva_nr_v132_train_set.fa.gz?download=1", "silva_128": "https://zenodo.org/record/824551/files/silva_nr_v128_train_set.fa.gz?download=1", "rdp_16": "https://zenodo.org/record/801828/files/rdp_train_set_16.fa.gz?download=1", "rdp_14": "https://zenodo.org/record/158955/files/rdp_train_set_14.fa.gz?download=1", "unite_8.0_fungi": "https://files.plutof.ut.ee/public/orig/EB/0C/EB0CCB3A871B77EA75E472D13926271076904A588D2E1C1EA5AFCF7397D48378.zip", "unite_8.0_fungi_singletons": "https://files.plutof.ut.ee/doi/06/A2/06A2C86256EED64085670EB0C54B7115F6DAC8F311C656A9CB33E386CFABA0D0.zip", "greengenes_13.84": "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": "https://zenodo.org/record/2541239/files/GTDB_bac-arc_ssu_r86.fa.gz?download=1", "hitdb_1": "https://zenodo.org/record/159205/files/hitdb_v1.00.fa.gz?download=1", "silva_euk_18S_132": "https://zenodo.org/record/1447330/files/silva_132.18s.99_rep_set.dada2.fa.gz?download=1", "PR2_4.11.1": "https://github.com/pr2database/pr2database/releases/download/4.11.1/pr2_version_4.11.1_dada2.fasta.gz" } FILE2SPECIESURL = { "silva_132": "https://zenodo.org/record/1172783/files/silva_species_assignment_v132.fa.gz?download=1", "silva_128": "https://zenodo.org/record/824551/files/silva_species_assignment_v128.fa.gz?download=1", "rdp_16": "https://zenodo.org/record/801828/files/rdp_species_assignment_16.fa.gz?download=1", "rdp_14": "https://zenodo.org/record/158955/files/rdp_species_assignment_14.fa.gz?download=1" } FILE2TAXLEVELS = { "PR2_4.11.1": "Kingdom,Supergroup,Division,Class,Order,Family,Genus,Species" } def url_download(url, fname, workdir): """ download url to workdir/fname """ 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("%s/*fasta" % workdir) if len(fastas) != 1: msg = "UNITE download %s contained %d fasta file(s): %s" % (url, len(fastas), " ".join(fastas)) 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) def remote_dataset(dataset, outjson): with open(outjson) as jf: params = json.loads(jf.read()) workdir = params['output_data'][0]['extra_files_path'] os.mkdir(workdir) 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 ): 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 with file(outjson, 'w') as jf: jf.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() remote_dataset(args.dataset, args.out)