Mercurial > repos > sanbi-uwc > data_manager_fetch_refseq

annotate data_manager/fetch_refseq.py @ 3:4852eb1a75e5 draft

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planemo upload for repository https://github.com/pvanheus/refseq_fasta_data_manager commit b682adad2c3c74567d23e1a5cf2bfcc3df1c96ae
author sanbi-uwc
date Fri, 07 Sep 2018 18:41:23 -0400
parents a4ee45e7237b
children d878e492546c
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cfe6cd521835 planemo upload for repository https://github.com/pvanheus/refseq_fasta_data_manager commit cfd2aa18826b938402ccfc6003f1793886001202-dirty
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1 #!/usr/bin/env python
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2
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3 from __future__ import print_function, division
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4 import argparse
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5 from datetime import date
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6 import functools
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7 import gzip
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8 import json
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9 from multiprocessing import Process, Queue
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10 import os
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11 import os.path
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12 import re
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13 import requests
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14 import sys
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15 try:
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16 from io import StringIO
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17 except ImportError:
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18 from StringIO import StringIO
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19 # Refseq structure
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20 # - Release number
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21 # - Divisions
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22 # 1. archea
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23 # 2. bacteria
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24 # 3. fungi
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25 # 4. invertebrate
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26 # 5. mitochondrion
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27 # 6. other
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28 # 7. plant
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29 # 8. plasmid
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30 # 9. plastid
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31 # 10. protozoa
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32 # 11. vertebrate mammalian
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33 # 12. vertebrate other
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34 # 13. viral
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35 # within each division
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36 # DIVNAME.\d+(.\d+)?.(genomic|protein|rna).(fna|gbff|faa|gpff).gz
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37 # where fna and faa are FASTA, gbff and gpff are Genbank
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38
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39 def _add_data_table_entry(data_manager_dict, data_table_entry, data_table_name):
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40 data_manager_dict['data_tables'] = data_manager_dict.get('data_tables', {})
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41 data_manager_dict['data_tables'][data_table_name] = data_manager_dict['data_tables'].get('all_fasta', [])
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42 data_manager_dict['data_tables'][data_table_name].append(data_table_entry)
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43 return data_manager_dict
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44
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45 def unzip_to(conn, out_dir, output_filename, chunk_size=4096, debug=False, compress=False):
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46 input_filename = conn.get()
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47 if compress:
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48 open_output = gzip.open
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49 else:
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50 open_output = open
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51 with open_output(os.path.join(out_dir, output_filename), 'wb') as output_file:
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52 while input_filename != 'STOP':
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53 if debug:
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54 print('Reading', input_filename, file=sys.stderr)
3
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55 with gzip.open(input_filename, 'rb') as input_file:
2
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56 read_chunk = functools.partial(input_file.read, (chunk_size))
3
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57 for data in iter(read_chunk, b''): # use b'' as a sentinel to stop the loop. note '' != b'' in Python 3
0
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58 output_file.write(data)
2
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59 os.unlink(input_filename)
0
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60 input_filename = conn.get()
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61
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62 def get_refseq_division(division_name, mol_types, output_directory, debug=False, compress=False):
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63 base_url = 'https://ftp.ncbi.nlm.nih.gov/refseq/release/'
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64 valid_divisions = set(['archea', 'bacteria', 'complete', 'fungi', 'invertebrate', 'mitochondrion', 'other',
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65 'plant', 'plasmid', 'plastid', 'protozoa', 'vertebrate_mammalian', 'vertebrate_other', 'viral'])
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66 ending_mappings = {
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67 'genomic': '.genomic.fna.gz',
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68 'protein': '.protein.faa.gz',
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69 'rna': 'rna.fna.gz'
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70 }
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71 assert division_name in valid_divisions, "Unknown division name ({})".format(division_name)
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72 for mol_type in mol_types:
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73 assert mol_type in ending_mappings, "Unknown molecule type ({})".format(mol_type)
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74 if not os.path.exists(output_directory):
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75 os.mkdir(output_directory)
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76 release_num_file = base_url + 'RELEASE_NUMBER'
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77 r = requests.get(release_num_file)
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78 release_num = str(int(r.text.strip()))
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79 division_base_url = base_url + division_name
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80 if debug:
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81 print('Retrieving {}'.format(division_base_url), file=sys.stderr)
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82 r = requests.get(division_base_url)
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83 listing_text = r.text
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84
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85 unzip_queues = {}
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86 unzip_processes = []
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87 final_output_filenames = []
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88 for mol_type in mol_types:
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89 q = unzip_queues[mol_type] = Queue()
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90 output_filename = division_name + '.' + release_num + '.' + mol_type + '.fasta'
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91 if compress:
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92 output_filename += '.gz'
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93 final_output_filenames.append(output_filename)
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94 unzip_processes.append(Process(target=unzip_to, args=(q, output_directory, output_filename),
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95 kwargs=dict(debug=debug, compress=compress)))
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96 unzip_processes[-1].start()
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97
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98 # sample line: <a href="vertebrate_other.86.genomic.gbff.gz">vertebrate_other.86.genomic.gbff.gz</a> 2018-07-13 00:59 10M
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99 for line in StringIO(listing_text):
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100 if not '.gz' in line:
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101 continue
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102 parts = line.split('"')
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103 assert len(parts) == 3, "Unexpected line format: {}".format(line.rstrip())
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104 filename = parts[1]
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105 for mol_type in mol_types:
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106 ending = ending_mappings[mol_type]
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107 if filename.endswith(ending):
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108 if debug:
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109 print('Downloading:', filename, ending, mol_type, file=sys.stderr)
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110 output_filename = os.path.join(output_directory, filename)
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111 with open(output_filename, 'wb') as output_file:
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112 r = requests.get(division_base_url + '/' + filename)
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113 for chunk in r.iter_content(chunk_size=4096):
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114 output_file.write(chunk)
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115 conn = unzip_queues[mol_type]
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116 conn.put(output_filename)
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117
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118 for mol_type in mol_types:
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119 conn = unzip_queues[mol_type]
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120 conn.put('STOP')
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121
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122 return [release_num, final_output_filenames]
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123
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124 if __name__ == '__main__':
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125 parser = argparse.ArgumentParser(description='Download RefSeq databases')
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126 parser.add_argument('--debug', default=False, action='store_true', help='Print debugging output to stderr (verbose)')
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127 parser.add_argument('--compress', default=False, action='store_true', help='Compress output files')
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128 parser.add_argument('--output_directory', default='tmp', help='Directory to write output to')
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129 parser.add_argument('--galaxy_datamanager_filename', help='Galaxy JSON format file describing data manager inputs')
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130 parser.add_argument('--division_names', nargs='+', help='RefSeq divisions to download')
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131 parser.add_argument('--mol_types', nargs='+', help='Molecule types (genomic, rna, protein) to fetch')
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132 parser.add_argument('--pin_date', help='Force download date to this version string')
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133 args = parser.parse_args()
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134 if args.galaxy_datamanager_filename is not None:
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135 dm_opts = json.loads(open(args.galaxy_datamanager_filename).read())
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136 output_directory = dm_opts['output_data'][0]['extra_files_path'] # take the extra_files_path of the first output parameter
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137 data_manager_dict = {}
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138 else:
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139 output_directory = args.output_directory
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140 for division_name in args.division_names:
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141 if args.pin_date is not None:
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142 today_str = args.pin_date
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143 else:
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144 today_str = date.today().strftime('%Y-%m-%d') # ISO 8601 date format
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145 [release_num, fasta_files] = get_refseq_division(division_name, args.mol_types, output_directory, args.debug, args.compress)
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146 if args.galaxy_datamanager_filename is not None:
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147 for i, mol_type in enumerate(args.mol_types):
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148 assert mol_type in fasta_files[i], "Filename does not contain expected mol_type ({}, {})".format(mol_type, fasta_files[i])
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149 unique_key = division_name + '.' + release_num + '.' + mol_type + '.' + today_str
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150 dbkey = division_name + '.' + release_num + '.' + mol_type
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151 desc = 'RefSeq ' + division_name + ' Release ' + release_num + ' ' + mol_type + ' (' + today_str + ')'
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152 path = os.path.join(output_directory, fasta_files[i])
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153 _add_data_table_entry(data_manager_dict=data_manager_dict,
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154 data_table_entry=dict(value=unique_key, dbkey=dbkey, name=desc, path=path),
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155 data_table_name='all_fasta')
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156 open(args.galaxy_datamanager_filename, 'wb').write(json.dumps(data_manager_dict).encode())