comparison 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
date Fri, 08 Mar 2019 05:38:44 -0500
parents 419037fe1150
children 3a4ee8bf012a
comparison
equal deleted inserted replaced
1:1c50cfb0c0ab 2:b4c303665291
17 "silva132":"Silva version 132", 17 "silva132":"Silva version 132",
18 "silva128":"Silva version 128", 18 "silva128":"Silva version 128",
19 "rdp16":"RDP trainset 16", 19 "rdp16":"RDP trainset 16",
20 "rdp14":"RDP trainset 14", 20 "rdp14":"RDP trainset 14",
21 "gg13.84":"GreenGenes version 13.8", 21 "gg13.84":"GreenGenes version 13.8",
22 "unite8.0_fungi": "UNITE: General Fasta release 8.0 for Fungi",
23 "unite8.0_fungi_singletons": "UNITE: General Fasta release 8.0 for Fungi including global and 97% singletons",
24 "unite8.0_euka": "UNITE: General Fasta release 8.0 for all Eukaryotes",
25 "unite8.0_euka_singletons": "UNITE: General Fasta release 8.0 for all Eukaryotes including global and 97% singletons",
26 "RefSeq_RDP_2018_05": "NCBI RefSeq 16S rRNA database supplemented by RDP (05/2018)",
27 "gtdb_2018_11_20": "GTDB: Genome Taxonomy Database (Bacteria & Archaea) (11/2018)",
28 "hitdb1": "HitDB version 1 (Human InTestinal 16S rRNA)",
29 "silva132_euk_18S": "Silva version 132 Eukaryotic 18S",
30 "PR2v4.11.1": "Protist Ribosomal Reference database (PR2) 4.11.1"
22 } 31 }
23 32
24 FILE2TAXURL = { 33 FILE2TAXURL = {
25 "silva132":"https://zenodo.org/record/1172783/files/silva_nr_v132_train_set.fa.gz?download=1", 34 "silva132":"https://zenodo.org/record/1172783/files/silva_nr_v132_train_set.fa.gz?download=1",
26 "silva128":"https://zenodo.org/record/824551/files/silva_nr_v128_train_set.fa.gz?download=1", 35 "silva128":"https://zenodo.org/record/824551/files/silva_nr_v128_train_set.fa.gz?download=1",
27 "rdp16":"https://zenodo.org/record/801828/files/rdp_train_set_16.fa.gz?download=1", 36 "rdp16":"https://zenodo.org/record/801828/files/rdp_train_set_16.fa.gz?download=1",
28 "rdp14":"https://zenodo.org/record/158955/files/rdp_train_set_14.fa.gz?download=1", 37 "rdp14":"https://zenodo.org/record/158955/files/rdp_train_set_14.fa.gz?download=1",
38 "unite8.0_fungi": "https://files.plutof.ut.ee/public/orig/EB/0C/EB0CCB3A871B77EA75E472D13926271076904A588D2E1C1EA5AFCF7397D48378.zip",
39 "unite8.0_fungi_singletons": "https://files.plutof.ut.ee/doi/06/A2/06A2C86256EED64085670EB0C54B7115F6DAC8F311C656A9CB33E386CFABA0D0.zip",
40 "unite8.0_euka": "https://files.plutof.ut.ee/public/orig/D6/96/D69658E99589D888A207805A744019DBA4EC0F603E67E53732767B3E03A5AA86.zip",
41 "unite8.0_euka_singletons": "https://files.plutof.ut.ee/doi/C2/20/C22034350E32D6AD7E5D1AF3F8BC487E34DA0BE25602B0E748906005CE6ADA97.zip",
29 "gg13.84":"https://zenodo.org/record/158955/files/gg_13_8_train_set_97.fa.gz?download=1", 42 "gg13.84":"https://zenodo.org/record/158955/files/gg_13_8_train_set_97.fa.gz?download=1",
43 "RefSeq_RDP_2018_05": "https://zenodo.org/record/2541239/files/RefSeq-RDP16S_v2_May2018.fa.gz?download=1",
44 "gtdb_2018_11_20": "https://zenodo.org/record/2541239/files/GTDB_bac-arc_ssu_r86.fa.gz?download=1",
45 "hitdb1": "https://zenodo.org/record/159205/files/hitdb_v1.00.fa.gz?download=1",
46 "silva132_euk_18S": "https://zenodo.org/record/1447330/files/silva_132.18s.99_rep_set.dada2.fa.gz?download=1",
47 "PR2v4.11.1": "https://github.com/pr2database/pr2database/releases/download/4.11.1/pr2_version_4.11.1_dada2.fasta.gz"
30 } 48 }
31 49
32 FILE2SPECIESURL = { 50 FILE2SPECIESURL = {
33 "silva132":"https://zenodo.org/record/1172783/files/silva_species_assignment_v132.fa.gz?download=1", 51 "silva132":"https://zenodo.org/record/1172783/files/silva_species_assignment_v132.fa.gz?download=1",
34 "silva128":"https://zenodo.org/record/824551/files/silva_species_assignment_v128.fa.gz?download=1", 52 "silva128":"https://zenodo.org/record/824551/files/silva_species_assignment_v128.fa.gz?download=1",
35 "rdp16":"https://zenodo.org/record/801828/files/rdp_species_assignment_16.fa.gz?download=1", 53 "rdp16":"https://zenodo.org/record/801828/files/rdp_species_assignment_16.fa.gz?download=1",
36 "rdp14":"https://zenodo.org/record/158955/files/rdp_species_assignment_14.fa.gz?download=1" 54 "rdp14":"https://zenodo.org/record/158955/files/rdp_species_assignment_14.fa.gz?download=1"
37 } 55 }
38 56
39 FILE2TAXLEVELS = { 57 FILE2TAXLEVELS = {
58 "PR2v4.11.1": "Kingdom,Supergroup,Division,Class,Order,Family,Genus,Species"
40 } 59 }
41 60
42 def url_download(url, fname, workdir): 61 def url_download(url, fname, workdir):
43 """ 62 """
44 download url to workdir/fname 63 download url to workdir/fname
61 else: 80 else:
62 break 81 break
63 finally: 82 finally:
64 if src: 83 if src:
65 src.close() 84 src.close()
66 return os.path.join(workdir, fname) 85
86 #special treatment of UNITE DBs: they are zip files containing two fasta (xyz.fasta and developer/xyz.fasta)
87 if fname.startswith("unite"):
88 import glob
89 import gzip
90 import shutil
91 import zipfile
92 # unzip download
93 zip_ref = zipfile.ZipFile(file_path, 'r')
94 zip_ref.extractall(workdir)
95 zip_ref.close()
96 # gzip top level fasta file
97 fastas = glob.glob("*fasta")
98 if len(fastas) != 1:
99 msg = "UNITE download %s contained more than one or no fasta file"
100 raise Exception(msg)
101 with open(fastas[0], 'rb') as f_in:
102 with gzip.open(file_path, 'wb') as f_out:
103 shutil.copyfileobj(f_in, f_out)
104
105 return fname
67 106
68 def main(dataset, outjson): 107 def main(dataset, outjson):
69 108
70 params = json.loads(open(outjson).read()) 109 params = json.loads(open(outjson).read())
71 target_directory = params['output_data'][0]['extra_files_path'] 110 target_directory = params['output_data'][0]['extra_files_path']
72 os.mkdir(target_directory) 111 os.mkdir(target_directory)
73 output_path = os.path.abspath(os.path.join(os.getcwd(), 'dada2')) 112 output_path = os.path.abspath(os.path.join(os.getcwd(), 'dada2'))
74 113
75 workdir = os.path.join(os.getcwd(), 'dada2') 114 workdir = os.path.join(os.getcwd(), 'dada2')
76 path = url_download( FILE2TAXURL[dataset], taxdataset+".taxonomy", workdir) 115 path = url_download( FILE2TAXURL[dataset], dataset+".taxonomy", workdir)
77 116
78 data_manager_json = {"data_tables":{}} 117 data_manager_json = {"data_tables":{}}
79 data_manager_entry = {} 118 data_manager_entry = {}
80 data_manager_entry['value'] = dataset 119 data_manager_entry['value'] = dataset
81 data_manager_entry['name'] = FILE2NAME[dataset] 120 data_manager_entry['name'] = FILE2NAME[dataset]
82 data_manager_entry['path'] = path 121 data_manager_entry['path'] = dataset+".taxonomy"
83 data_manager_entry['taxlevels'] = FILE2TAXLEVELS.get(dataset, DEFAULT_TAXLEVELS) 122 data_manager_entry['taxlevels'] = FILE2TAXLEVELS.get(dataset, DEFAULT_TAXLEVELS)
84 data_manager_json["data_tables"]["dada2_taxonomy"] = data_manager_entry 123 data_manager_json["data_tables"]["dada2_taxonomy"] = data_manager_entry
85 124
86 125
87 if FILE2SPECIES.get(dataset, False ): 126 if FILE2SPECIESURL.get(dataset, False ):
88 path = url_download( FILE2SPECIES[dataset], taxdataset+".species", workdir) 127 path = url_download( FILE2SPECIESURL[dataset], dataset+".species", workdir)
89 128
90 data_manager_entry = {} 129 data_manager_entry = {}
91 data_manager_entry['value'] = dataset 130 data_manager_entry['value'] = dataset
92 data_manager_entry['name'] = FILE2NAME[dataset] 131 data_manager_entry['name'] = FILE2NAME[dataset]
93 data_manager_entry['path'] = path 132 data_manager_entry['path'] = dataset+".species"
94 data_manager_json["data_tables"]["dada2_species"] = data_manager_entry 133 data_manager_json["data_tables"]["dada2_species"] = data_manager_entry
95 134
96 for filename in os.listdir(workdir): 135 for filename in os.listdir(workdir):
97 shutil.move(os.path.join(output_path, filename), target_directory) 136 shutil.move(os.path.join(output_path, filename), target_directory)
137
138 sys.stderr.write("JSON %s" %json.dumps(data_manager_json))
98 file(outjson, 'w').write(json.dumps(data_manager_json)) 139 file(outjson, 'w').write(json.dumps(data_manager_json))
99 140
100 if __name__ == '__main__': 141 if __name__ == '__main__':
101 parser = argparse.ArgumentParser(description='Create data manager json.') 142 parser = argparse.ArgumentParser(description='Create data manager json.')
102 parser.add_argument('--out', action='store', help='JSON filename') 143 parser.add_argument('--out', action='store', help='JSON filename')