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glances/tests-data/tools/csvcheck.py
2025-09-21 15:09:28 +02:00

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3.1 KiB
Python
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#!/usr/bin/env python
#
# Check a CSV file.
# The input CSV file should be given as an input with the -i <file> option.
# Check the following thinks:
# - number of line (without the header) should be equal to the number given with the -l <number of lines> option
# - each line should have the same number of columns
# - if the optional -c <number of columns> option is given, each line should have the the same number of columns
import argparse
import csv
import sys
def check_csv(input_file, expected_lines, expected_columns=None):
try:
with open(input_file, newline='') as csvfile:
reader = csv.reader(csvfile)
# Read header
header = next(reader, None)
if header is None:
print("Error: CSV file is empty")
return False
header_columns = len(header)
print(f"Header has {header_columns} columns")
# Read all the data rows
rows = list(reader)
row_count = len(rows)
# Check 1: Number of lines
if row_count != expected_lines:
print(f"Error: Expected {expected_lines} lines, but found {row_count}")
return False
print(f"Line count check passed: {row_count} lines (excluding header)")
# Check 2: Consistent number of columns
column_counts = [len(row) for row in rows]
if len(set(column_counts)) > 1:
print("Error: Not all rows have the same number of columns")
for i, count in enumerate(column_counts):
if count != header_columns:
print(f"Row {i + 1} has {count} columns (different from header)")
return False
print("Column consistency check passed: All rows have the same number of columns")
# Check 3: Optional - specific number of columns
if expected_columns is not None:
if header_columns != expected_columns:
print(f"Error: Expected {expected_columns} columns, but found {header_columns}")
return False
print(f"Column count check passed: {header_columns} columns")
return True
except FileNotFoundError:
print(f"Error: File '{input_file}' not found")
return False
except Exception as e:
print(f"Error processing CSV file: {str(e)}")
return False
def main():
parser = argparse.ArgumentParser(description='Check a CSV file for various properties.')
parser.add_argument('-i', '--input', required=True, help='Input CSV file')
parser.add_argument('-l', '--lines', type=int, required=True, help='Expected number of lines (excluding header)')
parser.add_argument('-c', '--columns', type=int, help='Expected number of columns (optional)')
args = parser.parse_args()
success = check_csv(args.input, args.lines, args.columns)
if success:
print("CSV - All checks passed successfully!")
sys.exit(0)
else:
print("CSV validation failed.")
sys.exit(1)
if __name__ == "__main__":
main()