File size: 5,870 Bytes
1e321b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 | #!/usr/bin/env python3
"""
CSV Processor for Sourashtra Dictionary
This script processes CSV files from the csv directory by reversing column order (c1,c2,c3,c4,c5 -> c5,c4,c3,c2,c1)
and saves them with simplified names in the processed directory.
Input: Sourashtra-CIIL-List-Original_[SUBJECT].csv
Output: processed/[SUBJECT].csv
Usage: python3 process_format_csv.py <csv_directory> [processed_directory]
"""
import argparse
import csv
import os
import sys
from pathlib import Path
import re
def extract_subject_from_filename(filename):
"""
Extract the subject name from the original filename.
Args:
filename (str): Original filename like 'Sourashtra-CIIL-List-Original_Adjectives.csv'
Returns:
str: Subject name like 'Adjectives' or None if pattern doesn't match
"""
# Match pattern: Sourashtra-CIIL-List-Original_[SUBJECT].csv
pattern = r'Sourashtra-CIIL-List-Original_(.+)\.csv$'
match = re.match(pattern, filename)
if match:
return match.group(1)
return None
def process_csv_file(input_file, output_file):
"""
Process a single CSV file by reversing the column order.
Args:
input_file (Path): Path to input CSV file
output_file (Path): Path to output CSV file
Returns:
tuple: (success, error_message, lines_processed)
"""
try:
lines_processed = 0
with open(input_file, 'r', encoding='utf-8') as infile, \
open(output_file, 'w', encoding='utf-8', newline='') as outfile:
csv_reader = csv.reader(infile)
csv_writer = csv.writer(outfile)
for row in csv_reader:
# Skip empty rows
if not any(field.strip() for field in row):
continue
# Ensure we have exactly 5 columns
if len(row) != 5:
return False, f"Line {lines_processed + 1}: Expected 5 columns, found {len(row)}", lines_processed
# Reverse the column order: c1,c2,c3,c4,c5 -> c5,c4,c3,c2,c1
reversed_row = [row[4], row[3], row[2], row[1], row[0]]
csv_writer.writerow(reversed_row)
lines_processed += 1
return True, None, lines_processed
except Exception as e:
return False, f"Error processing file: {str(e)}", 0
def main():
"""Main function to process all CSV files in the specified directory."""
# Set up argument parser
parser = argparse.ArgumentParser(
description='Process CSV files by reversing column order and renaming',
formatter_class=argparse.RawDescriptionHelpFormatter,
epilog='''
Examples:
python3 process_format_csv.py csv/
python3 process_format_csv.py csv/ processed/
python3 process_format_csv.py /path/to/csv/ /path/to/output/
'''
)
parser.add_argument('csv_directory',
help='Path to the directory containing input CSV files')
parser.add_argument('processed_directory',
nargs='?',
default='processed',
help='Path to the output directory (default: processed)')
args = parser.parse_args()
# Convert to Path objects and resolve
csv_dir = Path(args.csv_directory).resolve()
processed_dir = Path(args.processed_directory).resolve()
# Validate input directory
if not csv_dir.exists():
print(f"Error: CSV directory not found at {csv_dir}")
sys.exit(1)
if not csv_dir.is_dir():
print(f"Error: {csv_dir} is not a directory")
sys.exit(1)
# Create processed directory if it doesn't exist
processed_dir.mkdir(parents=True, exist_ok=True)
print(f"Processing CSV files from: {csv_dir}")
print(f"Output directory: {processed_dir}")
print("=" * 70)
# Find all matching CSV files
pattern = "Sourashtra-CIIL-List-Original_*.csv"
csv_files = sorted(csv_dir.glob(pattern))
if not csv_files:
print(f"No CSV files matching pattern '{pattern}' found in the directory.")
return
total_files = len(csv_files)
processed_files = 0
total_lines = 0
for csv_file in csv_files:
# Extract subject name
subject = extract_subject_from_filename(csv_file.name)
if not subject:
print(f"⚠️ Skipping {csv_file.name} - doesn't match expected pattern")
continue
# Create output filename
output_filename = f"{subject}.csv"
output_file = processed_dir / output_filename
print(f"\nProcessing: {csv_file.name}")
print(f" → {output_filename}")
# Process the file
success, error_msg, lines_processed = process_csv_file(csv_file, output_file)
if success:
print(f" ✓ Success - {lines_processed} lines processed")
processed_files += 1
total_lines += lines_processed
else:
print(f" ✗ Failed - {error_msg}")
print(f" Stopping processing due to error.")
# Print summary before exiting
print(f"\nSummary:")
print(f"Files processed: {processed_files} out of {total_files}")
print(f"Total lines processed: {total_lines}")
sys.exit(1)
# All files processed successfully
print("\n" + "=" * 70)
print("✓ All CSV files processed successfully!")
print(f"Summary:")
print(f"Total files processed: {processed_files}")
print(f"Total lines processed: {total_lines}")
print(f"Output directory: {processed_dir}")
if __name__ == "__main__":
main()
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