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import os
import sys
import pandas as pd
def display_and_store_directory_content(base_path):
"""
Display all paths with directories and files along with their content,
and store the information in a Pandas DataFrame.
Args:
base_path (str): The root directory path to scan.
Returns:
None: Prints paths and content, and saves the DataFrame as a pickle file.
"""
data = [] # To store path and content as rows for the DataFrame
for root, dirs, files in os.walk(base_path):
# Store directories (no content)
for d in dirs:
dir_path = os.path.join(root, d)
data.append({"path": dir_path, "content": ""})
print(f"Directory: {dir_path}")
# Store files and their content
for f in files:
file_path = os.path.join(root, f)
try:
with open(file_path, 'r', encoding='utf-8') as file:
content = file.read()
except Exception as e:
content = f"Error reading file: {e}"
data.append({"path": file_path, "content": content})
print(f"\nFile: {file_path}")
print("-" * 40)
print(content)
print("-" * 40)
# Create a DataFrame
df = pd.DataFrame(data)
# Create the 'extraction' directory if it doesn't exist
extraction_dir = "extraction"
if not os.path.exists(extraction_dir):
os.makedirs(extraction_dir)
# Use the last component of the base path as the file name
base_name = os.path.basename(os.path.normpath(base_path))
output_file = os.path.join(extraction_dir, f"{base_name}.pkl")
# Save the DataFrame to a pickle file
df.to_pickle(output_file)
print(f"\nDataFrame saved to {output_file}")
if __name__ == "__main__":
# Ensure a directory path is provided as an argument
if len(sys.argv) < 2:
print("Usage: python utils\\extract_all_content.py <directory>")
sys.exit(1)
# Get the directory path from the command-line arguments
directory_path = sys.argv[1]
# Execute the function
if os.path.exists(directory_path):
display_and_store_directory_content(directory_path)
else:
print(f"Error: The path '{directory_path}' does not exist.")
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