def merge_basecaller_stats(dirs, BASECALLER_RESULTS, SIGPROC_RESULTS, flows, floworder):
########################################################
# Merge datasets_basecaller.json #
########################################################
block_datasets_json = []
combined_datasets_json = {}
for dir in dirs:
current_datasets_path = os.path.join(dir,BASECALLER_RESULTS,'datasets_basecaller.json')
try:
f = open(current_datasets_path,'r')
block_datasets_json.append(json.load(f))
f.close()
except:
printtime("ERROR: skipped %s" % current_datasets_path)
if (not block_datasets_json) or ('datasets' not in block_datasets_json[0]) or ('read_groups' not in block_datasets_json[0]):
printtime("merge_basecaller_results: no block contained a valid datasets_basecaller.json, aborting")
return
combined_datasets_json = copy.deepcopy(block_datasets_json[0])
for dataset_idx in range(len(combined_datasets_json['datasets'])):
combined_datasets_json['datasets'][dataset_idx]['read_count'] = 0
for current_datasets_json in block_datasets_json:
combined_datasets_json['datasets'][dataset_idx]['read_count'] += current_datasets_json['datasets'][dataset_idx].get("read_count",0)
for read_group in combined_datasets_json['read_groups'].iterkeys():
combined_datasets_json['read_groups'][read_group]['Q20_bases'] = 0;
combined_datasets_json['read_groups'][read_group]['total_bases'] = 0;
combined_datasets_json['read_groups'][read_group]['read_count'] = 0;
combined_datasets_json['read_groups'][read_group]['filtered'] = True if 'nomatch' not in read_group else False
for current_datasets_json in block_datasets_json:
combined_datasets_json['read_groups'][read_group]['Q20_bases'] += current_datasets_json['read_groups'].get(read_group,{}).get("Q20_bases",0)
combined_datasets_json['read_groups'][read_group]['total_bases'] += current_datasets_json['read_groups'].get(read_group,{}).get("total_bases",0)
combined_datasets_json['read_groups'][read_group]['read_count'] += current_datasets_json['read_groups'].get(read_group,{}).get("read_count",0)
combined_datasets_json['read_groups'][read_group]['filtered'] &= current_datasets_json['read_groups'].get(read_group,{}).get("filtered",True)
try:
f = open(os.path.join(BASECALLER_RESULTS,'datasets_basecaller.json'),"w")
json.dump(combined_datasets_json, f, indent=4)
f.close()
except:
printtime("ERROR; Failed to write merged datasets_basecaller.json")
traceback.print_exc()
########################################################
# Merge ionstats_basecaller.json: #
# First across blocks, then across barcodes #
########################################################
try:
composite_filename_list = []
for dataset in combined_datasets_json["datasets"]:
composite_filename = os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.ionstats_basecaller.json')
barcode_filename_list = [os.path.join(dir,BASECALLER_RESULTS,dataset['file_prefix']+'.ionstats_basecaller.json') for dir in dirs]
barcode_filename_list = [filename for filename in barcode_filename_list if os.path.exists(filename)]
ionstats.reduce_stats(barcode_filename_list,composite_filename)
if os.path.exists(composite_filename):
composite_filename_list.append(composite_filename)
ionstats.reduce_stats(composite_filename_list,os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'))
ionstats.generate_legacy_basecaller_files(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,''))
except:
printtime("ERROR: Failed to merge ionstats_basecaller.json")
traceback.print_exc()
########################################################
# write composite return code #
########################################################
try:
if len(dirs)==96:
composite_return_code=96
for subdir in dirs:
blockstatus_return_code_file = os.path.join(subdir,"blockstatus.txt")
if os.path.exists(blockstatus_return_code_file):
with open(blockstatus_return_code_file, 'r') as f:
text = f.read()
if 'Basecaller=0' in text:
composite_return_code-=1
composite_return_code_file = os.path.join(BASECALLER_RESULTS,"composite_return_code.txt")
if not os.path.exists(composite_return_code_file):
printtime("DEBUG: create %s" % composite_return_code_file)
os.umask(0002)
f = open(composite_return_code_file, 'a')
f.write(str(composite_return_code))
f.close()
else:
printtime("DEBUG: skip generation of %s" % composite_return_code_file)
except:
traceback.print_exc()
##################################################
#generate TF Metrics #
#look for both keys and append same file #
##################################################
printtime("Merging TFMapper metrics and generating TF plots")
try:
TFPipeline.mergeBlocks(BASECALLER_RESULTS,dirs,floworder)
except:
printtime("ERROR: Merging TFMapper metrics failed")
###############################################
# Merge BaseCaller.json files #
###############################################
printtime("Merging BaseCaller.json files")
try:
basecallerfiles = []
for subdir in dirs:
subdir = os.path.join(BASECALLER_RESULTS,subdir)
printtime("DEBUG: %s:" % subdir)
if isbadblock(subdir, "Merging BaseCaller.json files"):
continue
basecallerjson = os.path.join(subdir,'BaseCaller.json')
if os.path.exists(basecallerjson):
basecallerfiles.append(subdir)
else:
printtime("ERROR: Merging BaseCaller.json files: skipped %s" % basecallerjson)
mergeBaseCallerJson.merge(basecallerfiles,BASECALLER_RESULTS)
except:
printtime("Merging BaseCaller.json files failed")
###############################################
# Generate composite plots
###############################################
printtime("Build composite basecaller graphs")
try:
graph_max_x = int(50 * math.ceil(0.014 * int(flows)))
except:
graph_max_x = 400
# Plot read length sparkline
for dataset in combined_datasets_json["datasets"]:
ionstats_plots.read_length_sparkline(
os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.sparkline.png'),
graph_max_x)
# Plot classic read length histogram
ionstats_plots.old_read_length_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'readLenHisto.png'),
graph_max_x)
# Plot new read length histogram
ionstats_plots.read_length_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'readLenHisto2.png'),
graph_max_x)
# Plot quality value histogram
ionstats_plots.quality_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'quality_histogram.png'))
try:
wells_beadogram.generate_wells_beadogram(BASECALLER_RESULTS, SIGPROC_RESULTS)
except:
printtime ("ERROR: Wells beadogram generation failed")
traceback.print_exc()
printtime("Finished merging basecaller stats")
def post_basecalling(BASECALLER_RESULTS,expName,resultsName,flows):
datasets_basecaller_path = os.path.join(BASECALLER_RESULTS,"datasets_basecaller.json")
if not os.path.exists(datasets_basecaller_path):
printtime("ERROR: %s does not exist" % datasets_basecaller_path)
raise Exception("ERROR: %s does not exist" % datasets_basecaller_path)
datasets_basecaller = {}
try:
f = open(datasets_basecaller_path,'r')
datasets_basecaller = json.load(f);
f.close()
except:
printtime("ERROR: problem parsing %s" % datasets_basecaller_path)
raise Exception("ERROR: problem parsing %s" % datasets_basecaller_path)
try:
graph_max_x = int(50 * math.ceil(0.014 * int(flows)))
except:
graph_max_x = 400
quality_file_list = []
for dataset in datasets_basecaller["datasets"]:
if not os.path.exists(os.path.join(BASECALLER_RESULTS, dataset['basecaller_bam'])):
continue
# Call ionstats utility to generate alignment-independent metrics for current unmapped BAM
ionstats.generate_ionstats_basecaller(
os.path.join(BASECALLER_RESULTS, dataset['basecaller_bam']),
os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.ionstats_basecaller.json'),
graph_max_x)
# Plot read length sparkline
ionstats_plots.read_length_sparkline(
os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.sparkline.png'),
graph_max_x)
quality_file_list.append(os.path.join(BASECALLER_RESULTS, dataset['file_prefix']+'.ionstats_basecaller.json'))
# Merge ionstats_basecaller files from individual barcodes/dataset
ionstats.reduce_stats(quality_file_list,os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'))
# Generate legacy stats file: quality.summary
ionstats.generate_legacy_basecaller_files(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,''))
# Plot classic read length histogram
ionstats_plots.old_read_length_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'readLenHisto.png'),
graph_max_x)
# Plot new read length histogram
ionstats_plots.read_length_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'readLenHisto2.png'),
graph_max_x)
# Plot quality value histogram
ionstats_plots.quality_histogram(
os.path.join(BASECALLER_RESULTS,'ionstats_basecaller.json'),
os.path.join(BASECALLER_RESULTS,'quality_histogram.png'))
printtime("Finished basecaller post processing")
