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check_samplesheet.py
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check_samplesheet.py
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#!/usr/bin/env python
# This script is based on the example at: https://raw.githubusercontent.com/nf-core/test-datasets/viralrecon/samplesheet/samplesheet_test_illumina_amplicon.csv
import os
import sys
import errno
import argparse
def parse_args(args=None):
Description = "Reformat nf-core/scrnaseq samplesheet file and check its contents."
Epilog = "Example usage: python check_samplesheet.py <FILE_IN> <FILE_OUT>"
parser = argparse.ArgumentParser(description=Description, epilog=Epilog)
parser.add_argument("FILE_IN", help="Input samplesheet file.")
parser.add_argument("FILE_OUT", help="Output file.")
return parser.parse_args(args)
def make_dir(path):
if len(path) > 0:
try:
os.makedirs(path)
except OSError as exception:
if exception.errno != errno.EEXIST:
raise exception
def print_error(error, context="Line", context_str=""):
error_str = "ERROR: Please check samplesheet -> {}".format(error)
if context != "" and context_str != "":
error_str = "ERROR: Please check samplesheet -> {}\n{}: '{}'".format(
error, context.strip(), context_str.strip()
)
print(error_str)
sys.exit(1)
def check_samplesheet(file_in, file_out):
"""
This function checks that the samplesheet follows the following structure:
sample,fastq_1,fastq_2
SAMPLE_PE,SAMPLE_PE_RUN1_1.fastq.gz,SAMPLE_PE_RUN1_2.fastq.gz
SAMPLE_PE,SAMPLE_PE_RUN2_1.fastq.gz,SAMPLE_PE_RUN2_2.fastq.gz
SAMPLE_SE,SAMPLE_SE_RUN1_1.fastq.gz,
For an example see:
https://raw.githubusercontent.com/nf-core/test-datasets/viralrecon/samplesheet/samplesheet_test_illumina_amplicon.csv
"""
sample_mapping_dict = {}
with open(file_in, "r") as fin:
## Check header
MIN_COLS = 2
HEADER = ["sample", "fastq_1", "fastq_2"]
header = [x.strip('"') for x in fin.readline().strip().split(",")]
if header[: len(HEADER)] != HEADER:
print("ERROR: Please check samplesheet header -> {} != {}".format(",".join(header), ",".join(HEADER)))
sys.exit(1)
## Check sample entries
for line in fin:
lspl = [x.strip().strip('"') for x in line.strip().split(",")]
# Check valid number of columns per row
if len(lspl) < len(HEADER):
print_error(
"Invalid number of columns (minimum = {})!".format(len(HEADER)),
"Line",
line,
)
num_cols = len([x for x in lspl if x])
if num_cols < MIN_COLS:
print_error(
"Invalid number of populated columns (minimum = {})!".format(MIN_COLS),
"Line",
line,
)
## Check sample name entries
sample, fastq_1, fastq_2 = lspl[: len(HEADER)]
sample = sample.replace(" ", "_")
if not sample:
print_error("Sample entry has not been specified!", "Line", line)
## Check FastQ file extension
for fastq in [fastq_1, fastq_2]:
if fastq:
if fastq.find(" ") != -1:
print_error("FastQ file contains spaces!", "Line", line)
if not fastq.endswith(".fastq.gz") and not fastq.endswith(".fq.gz"):
print_error(
"FastQ file does not have extension '.fastq.gz' or '.fq.gz'!",
"Line",
line,
)
## Auto-detect paired-end/single-end
sample_info = [] ## [single_end, fastq_1, fastq_2]
if sample and fastq_1 and fastq_2: ## Paired-end short reads
sample_info = ["0", fastq_1, fastq_2]
elif sample and fastq_1 and not fastq_2: ## Single-end short reads
sample_info = ["1", fastq_1, fastq_2]
else:
print_error("Invalid combination of columns provided!", "Line", line)
## Create sample mapping dictionary = { sample: [ single_end, fastq_1, fastq_2 ] }
if sample not in sample_mapping_dict:
sample_mapping_dict[sample] = [sample_info]
else:
if sample_info in sample_mapping_dict[sample]:
# print_error("Samplesheet contains duplicate rows!", "Line", line)
sample_mapping_dict[sample].append(sample_info)
else:
sample_mapping_dict[sample].append(sample_info)
## Write validated samplesheet with appropriate columns
if len(sample_mapping_dict) > 0:
out_dir = os.path.dirname(file_out)
make_dir(out_dir)
with open(file_out, "w") as fout:
fout.write(",".join(["sample", "single_end", "fastq_1", "fastq_2"]) + "\n")
for sample in sorted(sample_mapping_dict.keys()):
## Check that multiple runs of the same sample are of the same datatype
if not all(x[0] == sample_mapping_dict[sample][0][0] for x in sample_mapping_dict[sample]):
print_error("Multiple runs of a sample must be of the same datatype!", "Sample: {}".format(sample))
for idx, val in enumerate(sample_mapping_dict[sample]):
fout.write(",".join(["{}_T{}".format(sample, idx + 1)] + val) + "\n")
else:
print_error("No entries to process!", "Samplesheet: {}".format(file_in))
def main(args=None):
args = parse_args(args)
check_samplesheet(args.FILE_IN, args.FILE_OUT)
if __name__ == "__main__":
sys.exit(main())