def main(): option_parser, opts, args =\ parse_command_line_parameters(**script_info) submit_to_test_db=opts.submit_to_test_db fasta_file_paths=opts.fasta_file_paths study_id=opts.study_id output_dir=opts.output_dir if submit_to_test_db == 'False': # Load the data into the database data_access = data_access_factory(ServerConfig.data_access_type) else: # Load the data into the database data_access = data_access_factory(DataAccessType.qiime_test) # Get all of the fasta files print 'Submitting SFF data to database...' analysis_id = submit_sff_and_split_lib(data_access, fasta_file_paths, study_id) print 'Submitting OTU data to database...' load_otu_mapping(data_access, output_dir, analysis_id) print 'Completed database loading.'
def test_submit_processed_data_to_db_fasta(self): """submit_processed_data_to_db_fasta runs without error""" self.files_to_remove.append(join(self.wf_out,'fasta_mapping_file.txt')) # process the sequence data first before loading run_process_fasta_through_split_lib(0,'Fasting_subset',\ input_fp=','.join(self.fasta_fps),\ mapping_fp=self.fasta_map_fp,\ output_dir=self.wf_out, \ command_handler=call_commands_serially,\ params=self.params,\ qiime_config=self.qiime_config,\ write_to_all_fasta=False,\ status_update_callback=no_status_updates) # get key filepaths input_file_basename = splitext(split(self.sff_fp)[1])[0] otu_fp = join(self.wf_out,'picked_otus','seqs_otus.txt') split_lib_seqs_fp = join(self.wf_out,'split_libraries',\ 'seqs.fna') # run chained OTU-picking run_chain_pick_otus(split_lib_seqs_fp, output_dir=self.gg_out, command_handler=call_commands_serially, params=self.params, qiime_config=self.qiime_config,parallel=True, status_update_callback=no_status_updates) input_fname = splitext(split(self.sff_fp)[-1])[0] db_input_fp = join(self.wf_out,input_fname) # submit raw data to DB analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_fasta_and_split_lib(data_access, ','.join(self.fasta_fps), self.study_id, self.wf_out) # Load OTU table data load_otu_mapping(data_access,self.wf_out,analysis_id) # load split-library data split_library_id=load_split_lib_sequences(data_access,input_dir, analysis_id, seq_run_id, split_lib_input_md5sum) ### TEST raw sequence data load # get expected results print 'Analysis ID is: %s' % str(analysis_id) print 'Testing the SEQ_RUN loading!' exp_sff_md5=['412eee0be168a285415d9e4db3dbbf2f'] exp_num_seqs=22 exp_instr_code='FASTA' exp_sff_fname=['test_split_lib_seqs'] # define the query to pull data from DB con = data_access.getSFFDatabaseConnection() cur = con.cursor() seq_run_info="""select j.seq_run_id,f.sff_filename,f.number_of_reads,f.md5_checksum, h.instrument_code from analysis j inner join seq_run_to_sff_file s on j.seq_run_id=s.seq_run_id inner join sff_file f on f.sff_file_id=s.sff_file_id inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join sequencing_run h on h.seq_run_id=s.seq_run_id""" seq_run_info+=" where j.analysis_id=%s and slrm.sample_name=\'test.PCx354.281526\'" % (str(analysis_id)) results = cur.execute(seq_run_info) # get observed values for data in results: obs_seq_run_id,obs_sff_filename,obs_num_of_reads,obs_sff_md5,\ obs_instrument_code = data # check results self.assertTrue(obs_sff_filename in exp_sff_fname) self.assertEqual(obs_num_of_reads,exp_num_seqs) self.assertTrue(obs_sff_md5 in exp_sff_md5) self.assertEqual(obs_instrument_code,exp_instr_code) ### TEST split-library sequence load # get expected results print 'Testing Split-Library Data' exp_split_lib_seq='TTGGGCCGTGTCTCAGTCCCAATGTGGCCGATCAGTCTCTTAACTCGGCTATGCATCATTGCCTTGGTAAGCCGTTACCTTACCAACTAGCTAATGCACCGCAGGTCCATCCAAGAGTGATAGCAGAACCATCTTTCAAACTCTAGACATGCGTCTAGTGTTGTTATCCGGTATTAGCATCTGTTTCCAGGTGTTATCCCAGTCTCTTGGG' exp_split_lib_md5='412eee0be168a285415d9e4db3dbbf2f' exp_split_lib_seq_md5='59843d3394983f2caa26f583014a3389' # define the query to pull data from DB split_lib_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,l.command,l.md5_checksum, s.sequence_string,s.md5_checksum from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join ssu_sequence s on slrm.ssu_sequence_id=s.ssu_sequence_id inner join split_library_run l on j.split_library_run_id=l.split_library_run_id""" split_lib_info+=" where j.analysis_id=%s and slrm.sample_name=\'test.PCx354.281526\'" % (str(analysis_id)) results = cur.execute(split_lib_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_split_lib_cmd,obs_split_lib_md5,\ obs_split_lib_seq,obs_split_lib_seq_md5 = data # check results self.assertEqual(obs_split_lib_md5,exp_split_lib_md5) self.assertEqual(obs_split_lib_seq,exp_split_lib_seq) self.assertEqual(obs_split_lib_seq_md5,exp_split_lib_seq_md5) ### TEST OTU table load # get expected results print 'Testing OTU Data!' exp_otu_md5='cec9b6c184ffdb12d9de4450034ab775' exp_threshold=97 # define the query to pull data from DB otu_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,ot.reference_id,gr.ssu_sequence_id, ot.reference_id,j.otu_picking_run_id,p.command,p.md5_sum_input_file, p.threshold from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join otu_table ot on j.otu_run_set_id=ot.otu_run_set_id inner join gg_plus_denovo_reference gr on ot.reference_id=gr.reference_id inner join otu_picking_run p on j.otu_picking_run_id=p.otu_picking_run_id""" otu_info+=" where j.analysis_id=%s and slrm.sample_name=\'test.PCx354.281526\'" % (str(analysis_id)) results = cur.execute(otu_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_otu_id,obs_otu_ssu_id,\ obs_prokmsa,obs_otu_picking_run_id,obs_pick_otu_cmd,\ obs_otu_md5,obs_threshold = data # check results self.assertEqual(obs_otu_md5,exp_otu_md5) self.assertEqual(obs_threshold,exp_threshold) ### TEST OTU failures load # define the query to pull data from DB otu_fail_info="""select distinct j.seq_run_id,f.ssu_sequence_id from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join otu_picking_failures f on slrm.ssu_sequence_id=f.ssu_sequence_id""" otu_fail_info+=" where j.analysis_id=%s and slrm.sample_name=\'test.PCx635.281531\'" % (str(analysis_id)) results = cur.execute(otu_fail_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_id= data # check results self.failIfEqual(obs_seq_run_id,0) self.failIfEqual(obs_ssu_id,0) # delete study data from DB valid=data_access.deleteTestAnalysis(True,analysis_id) if not valid: print "Error: Could not delete data from DB!"
def test_submit_processed_data_to_db_illumina(self): """run_process_illumina_through_pick_otus runs without error""" self.files_to_remove.append(join(self.wf_out,'s8_map_incomplete.txt')) # process the sequence data first before loading run_process_illumina_through_split_lib(0,'Fasting_subset',\ input_fp=','.join(self.illumina_fps),\ mapping_fp=self.illumina_map_fp,\ output_dir=self.wf_out, \ command_handler=call_commands_serially,\ params=self.params,\ qiime_config=self.qiime_config,\ write_to_all_fasta=False,\ status_update_callback=no_status_updates) # get the filepaths of key files input_file_basename = splitext(split(self.sff_fp)[1])[0] otu_fp = join(self.wf_out,'picked_otus','seqs_otus.txt') split_lib_seqs_fp = join(self.wf_out,'split_libraries',\ 'seqs.fna') # run chained OTU-picking run_chain_pick_otus(split_lib_seqs_fp, output_dir=self.gg_out, command_handler=call_commands_serially, params=self.params, qiime_config=self.qiime_config,parallel=True, status_update_callback=no_status_updates) input_fname = splitext(split(self.sff_fp)[-1])[0] db_input_fp = join(self.wf_out,input_fname) # load the study analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_illumina_and_split_lib(data_access, ','.join(self.illumina_fps), self.study_id, self.wf_out) # load the OTU table data load_otu_mapping(data_access,self.wf_out,analysis_id) # load the split-library sequence data split_library_id=load_split_lib_sequences(data_access,input_dir, analysis_id, seq_run_id, split_lib_input_md5sum) ### TEST raw sequence data load # get expected results print 'Analysis ID is: %s' % str(analysis_id) print 'Testing the SEQ_RUN loading!' exp_fastq_md5=['6e3c114cec9bdc8708aaa9077fd71aa6','685cac31968b74c5d99b294ac29e9fd9'] exp_num_seqs=100 exp_instr_code='ILLUMINA' exp_fastq_fname=['s_8_2_sequence_100_records.txt','s_8_1_sequence_100_records.txt'] # define the query to pull data from DB con = data_access.getSFFDatabaseConnection() cur = con.cursor() seq_run_info="""select j.seq_run_id,f.sff_filename,f.number_of_reads,f.md5_checksum, h.instrument_code from analysis j inner join seq_run_to_sff_file s on j.seq_run_id=s.seq_run_id inner join sff_file f on f.sff_file_id=s.sff_file_id inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join sequencing_run h on h.seq_run_id=s.seq_run_id""" seq_run_info+=" where j.analysis_id=%s and slrm.sample_name=\'HKE08Aug07\'" % (str(analysis_id)) results = cur.execute(seq_run_info) # get observed values for data in results: obs_seq_run_id,obs_fastq_filename,obs_num_of_reads,obs_fastq_md5,\ obs_instrument_code = data # check results self.assertTrue(obs_fastq_filename in exp_fastq_fname) self.assertEqual(obs_num_of_reads,exp_num_seqs) self.assertTrue(obs_fastq_md5 in exp_fastq_md5) self.assertEqual(obs_instrument_code,exp_instr_code) print 'Done testing SEQ_RUN!' # TEST split-library sequence data # get expected results print 'Testing Split-Library Data' exp_split_lib_seq='TACGAAGGGAGCTAGCGTTATTCGGAATGATTGGGTGTAAAGAGTTTGTAGATTGCAAAATTTTTGTTATTAGTAAAAAATTGAATTTATTATTTAAAGATGCTTTTAATACAATTTTGCTTGAGTATAGTAGAGGAAAAT' exp_split_lib_md5='700a9b08947589cfdd96525c97f9bcb4' exp_split_lib_seq_md5='7e8278ef1f5561d997cad48eabe40847' # define the query to pull data from DB split_lib_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,l.command,l.md5_checksum, s.sequence_string,s.md5_checksum from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join ssu_sequence s on slrm.ssu_sequence_id=s.ssu_sequence_id inner join split_library_run l on j.split_library_run_id=l.split_library_run_id""" split_lib_info+=" where j.analysis_id=%s and slrm.sample_name=\'HKE08Aug07\'" % (str(analysis_id)) results = cur.execute(split_lib_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_split_lib_cmd,obs_split_lib_md5,\ obs_split_lib_seq,obs_split_lib_seq_md5 = data # check results self.assertEqual(obs_split_lib_md5,exp_split_lib_md5) self.assertEqual(obs_split_lib_seq,exp_split_lib_seq) self.assertEqual(obs_split_lib_seq_md5,exp_split_lib_seq_md5) ### TEST OTU table load # get expected results print 'Testing OTU Data!' exp_otu_md5='6bc1d4693d57ddfa6abe9bd94103476d' exp_threshold=97 # define the query to pull data from DB otu_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,ot.reference_id,gr.ssu_sequence_id, ot.reference_id,j.otu_picking_run_id,p.command,p.md5_sum_input_file, p.threshold from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join otu_table ot on j.otu_run_set_id=ot.otu_run_set_id inner join gg_plus_denovo_reference gr on ot.reference_id=gr.reference_id inner join otu_picking_run p on j.otu_picking_run_id=p.otu_picking_run_id""" otu_info+=" where j.analysis_id=%s and slrm.sample_name=\'SSBH05July07\'" % (str(analysis_id)) results = cur.execute(otu_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_otu_id,obs_otu_ssu_id,\ obs_prokmsa,obs_otu_picking_run_id,obs_pick_otu_cmd,\ obs_otu_md5,obs_threshold = data # check results self.assertEqual(obs_otu_md5,exp_otu_md5) self.assertEqual(obs_threshold,exp_threshold) ### TEST OTU failures load # define the query to pull data from DB otu_fail_info="""select distinct j.seq_run_id,f.ssu_sequence_id from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join otu_picking_failures f on slrm.ssu_sequence_id=f.ssu_sequence_id""" otu_fail_info+=" where j.analysis_id=%s and slrm.sample_name=\'HKE08Aug07\'" % (str(analysis_id)) results = cur.execute(otu_fail_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_id= data # check results self.failIfEqual(obs_seq_run_id,0) self.failIfEqual(obs_ssu_id,0) # delete loaded study data valid=data_access.deleteTestAnalysis(True,analysis_id) if not valid: print "Error: Could not delete data from DB!"
def test_submit_processed_data_to_db(self): """run_process_sff_through_pick_otus runs without error""" self.files_to_remove.append(join(self.wf_out,'Fasting_subset.fna')) self.files_to_remove.append(join(self.wf_out,'Fasting_subset.qual')) self.files_to_remove.append(join(self.wf_out,'Fasting_subset.txt')) # remove generated mapping file moved_mapping_file=join(self.wf_out,split(self.fasting_mapping_fp)[-1]) self.files_to_remove.append(moved_mapping_file) # process the sequence data first before loading run_process_sff_through_split_lib(0,'Fasting_subset', sff_input_fp=self.sff_fp, mapping_fp=self.fasting_mapping_fp, output_dir=self.wf_out, command_handler=call_commands_serially, params=self.params, qiime_config=self.qiime_config,convert_to_flx=False, write_to_all_fasta=False, status_update_callback=no_status_updates) # get the file basename input_file_basename = splitext(split(self.sff_fp)[1])[0] # get key filepaths otu_fp = join(self.wf_out,'picked_otus','seqs_otus.txt') split_lib_seqs_fp = join(self.wf_out,'split_libraries',\ 'seqs.fna') # run chained OTU-picking run_chain_pick_otus(split_lib_seqs_fp, output_dir=self.gg_out, command_handler=call_commands_serially, params=self.params, qiime_config=self.qiime_config,parallel=False, status_update_callback=no_status_updates) input_fname = splitext(split(self.sff_fp)[-1])[0] db_input_fp = join(self.wf_out,input_fname) # submit the data analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_sff_and_split_lib(data_access,db_input_fp+'.fna', self.study_id) # load OTU picking load_otu_mapping(data_access,self.wf_out,analysis_id) # load split-lib sequences split_library_id=load_split_lib_sequences(data_access,input_dir, analysis_id, seq_run_id, split_lib_input_md5sum) ### TEST raw sequence data load # expected results print 'Analysis ID is: %s' % str(analysis_id) print 'Testing the FLOW_DATA loading!' exp_sff_md5='314f4000857668d45a413d2e94a755fc' exp_num_seqs=22 exp_read_id='FLP3FBN01ELBSX' exp_instr_code='GS FLX' exp_sff_fname='Fasting_subset' # define the query to pull data from DB con = data_access.getSFFDatabaseConnection() cur = con.cursor() seq_run_info="""select j.seq_run_id,f.sff_filename,f.number_of_reads,f.md5_checksum, h.instrument_code from analysis j inner join seq_run_to_sff_file s on j.seq_run_id=s.seq_run_id inner join sff_file f on f.sff_file_id=s.sff_file_id inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join sequencing_run h on h.seq_run_id=s.seq_run_id""" seq_run_info+=" where j.analysis_id=%s and slrm.sequence_name=\'test.PCx634_1\'" % (str(analysis_id)) results = cur.execute(seq_run_info) # get observed values for data in results: obs_seq_run_id,obs_sff_filename,obs_num_of_reads,obs_sff_md5,\ obs_instrument_code = data # check results self.assertEqual(obs_sff_filename,exp_sff_fname) self.assertEqual(obs_num_of_reads,exp_num_seqs) self.assertEqual(obs_sff_md5,exp_sff_md5) self.assertEqual(obs_instrument_code,exp_instr_code) # TEST split-library data load # expected results print 'Testing Split-Library Data' exp_split_lib_seq='CTGGGCCGTGTCTCAGTCCCAATGTGGCCGTTTACCCTCTCAGGCCGGCTACGCATCATCGCCTTGGTGGGCCGTTACCTCACCAACTAGCTAATGCGCCGCAGGTCCATCCATGTTCACGCCTTGATGGGCGCTTTAATATACTGAGCATGCGCTCTGTATACCTATCCGGTTTTAGCTACCGTTTCCAGCAGTTATCCCGGACACATGGGCTAGG' exp_split_lib_md5='2c67e0acf745bef73e26c36f0b3bd00a' exp_split_lib_seq_md5='008918f7469f8e33d5dd6e01075d5194' # define the query to pull data from DB split_lib_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,l.command,l.md5_checksum, s.sequence_string,s.md5_checksum from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join ssu_sequence s on slrm.ssu_sequence_id=s.ssu_sequence_id inner join split_library_run l on j.split_library_run_id=l.split_library_run_id""" split_lib_info+=" where j.analysis_id=%s and slrm.sequence_name=\'test.PCx634_1\'" % (str(analysis_id)) results = cur.execute(split_lib_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_split_lib_cmd,obs_split_lib_md5,\ obs_split_lib_seq,obs_split_lib_seq_md5 = data # check results self.assertEqual(obs_split_lib_md5,exp_split_lib_md5) self.assertEqual(obs_split_lib_seq,exp_split_lib_seq) self.assertEqual(obs_split_lib_seq_md5,exp_split_lib_seq_md5) # TEST OTU-table data load # expected results print 'Testing OTU Data!' exp_otu_md5='0b8edcf8a4275730001877496b41cf55' exp_threshold=97 # define the query to pull data from DB otu_info="""select distinct j.seq_run_id,slrm.ssu_sequence_id,ot.reference_id,gr.ssu_sequence_id, ot.reference_id,j.otu_picking_run_id,p.command,p.md5_sum_input_file, p.threshold from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id and j.split_library_run_id=slrm.split_library_run_id inner join otu_table ot on j.otu_run_set_id=ot.otu_run_set_id inner join gg_plus_denovo_reference gr on ot.reference_id=gr.reference_id inner join otu_picking_run p on j.otu_picking_run_id=p.otu_picking_run_id""" otu_info+=" where j.analysis_id=%s and slrm.sequence_name=\'test.PCx634_2\'" % (str(analysis_id)) results = cur.execute(otu_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_seq_id,obs_otu_id,obs_otu_ssu_id,\ obs_prokmsa,obs_otu_picking_run_id,obs_pick_otu_cmd,\ obs_otu_md5,obs_threshold = data # check results self.assertEqual(obs_otu_md5,exp_otu_md5) self.assertEqual(obs_threshold,exp_threshold) # TEST OTU-failures data load # define the query to pull data from DB otu_fail_info="""select distinct j.seq_run_id,f.ssu_sequence_id from analysis j inner join split_library_read_map slrm on j.seq_run_id=slrm.seq_run_id inner join otu_picking_failures f on slrm.ssu_sequence_id=f.ssu_sequence_id""" otu_fail_info+=" where j.analysis_id=%s and slrm.sequence_name=\'test.PCx634_14\'" % (str(analysis_id)) results = cur.execute(otu_fail_info) # get observed values for data in results: obs_seq_run_id,obs_ssu_id= data # check results self.failIfEqual(obs_seq_run_id,0) self.failIfEqual(obs_ssu_id,0) # delete the loaded data valid=data_access.deleteTestAnalysis(True,analysis_id) if not valid: print "Error: Could not delete data from DB!"
def main(): option_parser, opts, args =\ parse_command_line_parameters(**script_info) submit_to_test_db=opts.submit_to_test_db fasta_file_paths=opts.fasta_file_paths study_id=opts.study_id output_dir=opts.output_dir platform=opts.platform user_id=opts.user_id if submit_to_test_db == 'False': # Load the data into the database data_access = data_access_factory(ServerConfig.data_access_type) else: # Load the data into the database data_access = data_access_factory(DataAccessType.qiime_test) # Get all of the fasta files if (platform=='FLX' or platform=='TITANIUM'): print 'Submitting SFF data to database...' analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_sff_and_split_lib(data_access, fasta_file_paths, study_id) elif platform=='ILLUMINA': print 'Submitting Illumina data to database...' analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_illumina_and_split_lib(data_access, fasta_file_paths, study_id,output_dir) elif platform=='FASTA': print 'Submitting FASTA data to database...' analysis_id, input_dir, seq_run_id, split_lib_input_md5sum = \ submit_fasta_and_split_lib(data_access, fasta_file_paths, study_id, output_dir) ''' # Submit Split-library loading job split_library_id=load_split_lib_sequences(data_access,input_dir, analysis_id, seq_run_id, split_lib_input_md5sum) ''' # verify that these are not metagenomic sequences # otherwise load the OTU table study_info=data_access.getStudyInfo(study_id,user_id) if study_info['investigation_type'].lower() == 'metagenome': # skip OTU loading pass else: print 'Submitting OTU data to database...' load_otu_mapping(data_access, output_dir, analysis_id) params=[] params.append('OutputDir=%s' % output_dir) params.append('UserId=%s' % user_id) params.append('StudyId=%s' % study_id) params.append('TestDB=%s' % submit_to_test_db) params.append('ProcessedFastaFilepath=%s' % (fasta_file_paths)) params.append('AnalysisId=%s' % analysis_id) params.append('SeqRunId=%s' % seq_run_id) params.append('MDchecksum=%s' % split_lib_input_md5sum) job_input='!!'.join(params) job_type='LoadSplitLibSeqsHandler' submitQiimeJob(study_id, user_id, job_type, job_input, data_access) print 'Completed database loading.'