def test_run_process_illumina_through_split_lib(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 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 file basename input_file_basename = splitext(split(self.sff_fp)[1])[0] # get the split-library sequence fpath split_lib_seqs_fp = join(self.wf_out, "split_libraries", "seqs.fna") new_map_fp = join(self.wf_out, "Fasting_subset_mapping.txt") # get the head of files split_lib_head = get_top_fastq_two_lines(open(split_lib_seqs_fp, "U")) # check results self.assertEqual("".join(split_lib_head), exp_illumina_split_lib_head) # Check that the log file is created and has size > 0 log_fp = glob(join(self.wf_out, "log*.txt"))[0] self.assertTrue(getsize(log_fp) > 0)
def test_submit_processed_data_to_db_illumina(self): """run_process_illumina_through_pick_otus runs without error""" 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) 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_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) analysis_id=submit_illumina_and_split_lib(data_access, ','.join(self.illumina_fps), 0, self.wf_out) load_otu_mapping(data_access,self.wf_out,analysis_id) print 'Analysis ID is: %s' % str(analysis_id) print 'Testing the SEQ_RUN loading!' exp_sff_md5=['2b14442f7df4d06ac1e241816bf3ce4a','53181ca3427e5b4ce28a6b13cb3b98dd'] exp_num_seqs=100 exp_instr_code='ILLUMINA' exp_sff_fname=['s_8_2_sequence_100_records','s_8_1_sequence_100_records'] 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) #print 'Calling getTestFlowData...' for data in results: obs_seq_run_id,obs_sff_filename,obs_num_of_reads,obs_sff_md5,\ obs_instrument_code = data print 'After getTestSeqRunData...' 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) print 'Done testing SEQ_RUN!' print 'Testing Split-Library Data' exp_split_lib_seq='TACGAAGGGAGCTAGCGTTATTCGGAATGATTGGGTGTAAAGAGTTTGTAGATTGCAAAATTTTTGTTATTAGTAAAAAATTGAATTTATTATTTAAAGATGCTTTTAATACAATTTTGCTTGAGTATAGTAGAGGAAAAT' exp_split_lib_md5='1443e25614090e660b003c5774ed4cba' exp_split_lib_seq_md5='7e8278ef1f5561d997cad48eabe40847' 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) #print 'Calling getTestFlowData...' 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 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) print 'Testing OTU Data!' #exp_prokmsa=97550 exp_otu_md5='56222e11026575d9850009768c0b8885' exp_threshold=97 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) 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 #self.assertEqual(obs_prokmsa,exp_prokmsa) self.assertEqual(obs_otu_md5,exp_otu_md5) self.assertEqual(obs_threshold,exp_threshold) 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) for data in results: obs_seq_run_id,obs_ssu_id= data self.failIfEqual(obs_seq_run_id,0) self.failIfEqual(obs_ssu_id,0) 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!"