62 lines
1.9 KiB
Python
Executable File
62 lines
1.9 KiB
Python
Executable File
import pandas as pd
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import re
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import sys
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import os
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def extract_table_from_markdown(md_content):
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# Adjust regex pattern to be more flexible for matching Markdown tables
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table_pattern = re.compile(r"(\|[^\n]+\|\n?)+")
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match = table_pattern.search(md_content)
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if not match:
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return None
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table_str = match.group(0).strip()
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rows = table_str.splitlines()
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# Extract headers
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headers = [col.strip() for col in rows[0].split('|')[1:-1]]
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# Extract the actual data rows, skipping the header separator line
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data_rows = []
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for row in rows[2:]:
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values = [value.strip() for value in row.split('|')[1:-1]]
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data_rows.append(values)
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return pd.DataFrame(data_rows, columns=headers)
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def convert_md_table_to_csv(input_md_path, output_csv_path):
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# Check if the input Markdown file exists
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if not os.path.isfile(input_md_path):
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print(f"Error: The file '{input_md_path}' does not exist.")
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sys.exit(1)
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try:
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# Read the Markdown file content
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with open(input_md_path, 'r', encoding='utf-8') as md_file:
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md_content = md_file.read()
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# Extract the table and convert to DataFrame
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df = extract_table_from_markdown(md_content)
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if df is None:
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print("Error: No table found in the Markdown file.")
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sys.exit(1)
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# Write the DataFrame to CSV
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df.to_csv(output_csv_path, index=False)
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print(f"Conversion complete. Check the '{output_csv_path}' file.")
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except Exception as e:
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print(f"Error during Markdown table to CSV conversion: {e}")
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sys.exit(1)
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if __name__ == "__main__":
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if len(sys.argv) != 3:
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print("Usage: python mdtabletocsv.py <input_md_path> <output_csv_path>")
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sys.exit(1)
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input_md_path = sys.argv[1]
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output_csv_path = sys.argv[2]
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convert_md_table_to_csv(input_md_path, output_csv_path)
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