comparison data_manager/fetch_reference_data.py @ 1:5349705442d0 draft

planemo upload
author yating-l
date Wed, 03 May 2017 16:27:19 -0400
parents
children 2804b5f00dc7
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equal deleted inserted replaced
0:099d2508bcc3 1:5349705442d0
1 #!/usr/bin/env python
2 # ref: https://galaxyproject.org/admin/tools/data-managers/how-to/define/
3
4 import sys
5 import os
6 import tempfile
7 import shutil
8 import argparse
9 import urllib2
10 import tarfile
11
12 from galaxy.util.json import from_json_string, to_json_string
13
14 CHUNK_SIZE = 2**20 #1mb
15
16 def cleanup_before_exit(tmp_dir):
17 if tmp_dir and os.path.exists(tmp_dir):
18 shutil.rmtree(tmp_dir)
19
20 def stop_err(msg):
21 sys.stderr.write(msg)
22 sys.exit(1)
23
24 def get_reference_id_name(params):
25 genome_id = params['param_dict']['genome_id']
26 genome_name = params['param_dict']['genome_name']
27 return genome_id, genome_name
28
29 def download_from_GlimmerHMM(data_manager_dict, params, target_directory, sequence_id, sequence_name ):
30 GlimmerHMM_DOWNLOAD_URL = 'ftp://ccb.jhu.edu/pub/software/glimmerhmm/GlimmerHMM-3.0.4.tar.gz'
31 GlimmerHMM_TRAINED_DIR = os.path.join('GlimmerHMM', 'trained_dir', sequence_id)
32 with tarfile.open('GlimmerHMM-3.0.4.tar', mode='r:*') as tar:
33 subdir = [
34 tarinfo for tarinfo in tar.getmembers()
35 if sequence_id in tarinfo.name
36 ]
37 tar.extractall(members=subdir)
38 glimmerhmm_trained_target_dir = os.path.join(target_directory, sequence_id)
39 shutil.copytree(GlimmerHMM_TRAINED_DIR, glimmerhmm_trained_target_dir)
40 data_table_entry = dict(value=sequence_id, name=sequence_name, path=glimmerhmm_trained_target_dir)
41 _add_data_table_entry(data_manager_dict, data_table_entry)
42
43 cleanup_before_exit(GlimmerHMM_TRAINED_DIR)
44
45 def _add_data_table_entry( data_manager_dict, data_table_entry ):
46 data_manager_dict['data_tables'] = data_manager_dict.get( 'data_tables', {} )
47 data_manager_dict['data_tables']['reference_data'] = data_manager_dict['data_tables'].get('reference_data', [])
48 data_manager_dict['data_tables']['reference_data'].append( data_table_entry )
49 return data_manager_dict
50
51 REFERENCE_SOURCE_TO_DOWNLOAD = dict(glimmerhmm=download_from_GlimmerHMM)
52
53 def main():
54 #Parse Command Line
55 parser = argparse.ArgumentParser()
56 args = parser.parse_args()
57
58 filename = args[0]
59
60 params = from_json_string(open(filename).read())
61 target_directory = params['output_data'][0]['extra_files_path']
62 os.mkdir(target_directory)
63 data_manager_dict = {}
64
65 sequence_id, sequence_name = get_reference_id_name(params)
66
67 #Fetch the FASTA
68 REFERENCE_SOURCE_TO_DOWNLOAD[params['param_dict']['file_path']](data_manager_dict, params, target_directory, sequence_id, sequence_name)
69
70 #save info to json file
71 open(filename, 'wb').write(to_json_string(data_manager_dict))
72
73 if __name__ == "__main__":
74 main()
75