danielrosehill's picture
updated
120ec98
raw
history blame
2.05 kB
import pandas as pd
import os
def generate_markdown_manifest_for_all_csvs():
# Get the current working directory
current_dir = os.getcwd()
# Create a folder called 'params' within the current directory to store the markdown manifests
output_folder = os.path.join(current_dir, 'params')
if not os.path.exists(output_folder):
os.makedirs(output_folder)
# Get a list of all CSV files in the current directory
csv_files = [f for f in os.listdir(current_dir) if f.endswith('.csv')]
if not csv_files:
print("No CSV files found in the current directory.")
return
# Loop through each CSV file and generate a manifest in markdown format
for csv_file in csv_files:
try:
# Load CSV file into a pandas DataFrame
csv_path = os.path.join(current_dir, csv_file)
df = pd.read_csv(csv_path)
# Prepare the manifest content
markdown_content = f"# Manifest for {csv_file}\n\n"
markdown_content += f"## Column Overview\n\n"
for col in df.columns:
# Skip the "Value" column
if col == "Value":
continue
unique_values = df[col].dropna().unique()
markdown_content += f"### {col}\n\n"
markdown_content += "Parameters:\n\n"
for val in unique_values:
markdown_content += f"- {val}\n"
markdown_content += "\n"
# Generate the output filename for the markdown manifest
output_file = os.path.join(output_folder, f"{os.path.splitext(csv_file)[0]}_manifest.md")
# Write the markdown content to the file
with open(output_file, 'w') as f:
f.write(markdown_content)
print(f"Manifest for {csv_file} saved to {output_file}")
except Exception as e:
print(f"Error processing {csv_file}: {e}")
# Run the function
generate_markdown_manifest_for_all_csvs()