| import pandas as pd | |
| import json | |
| # Define the input and output file paths | |
| input_path = '/root/test/weitiao/data_process_bq/data/parquet_all.parquet' | |
| output_path = '/root/test/weitiao/data_process_bq/data/parquet_all.json' | |
| # Read the Parquet file into a Pandas DataFrame | |
| try: | |
| df = pd.read_parquet(input_path) | |
| print(f"Successfully loaded data from {input_path}") | |
| except FileNotFoundError: | |
| print(f"Error: The file {input_path} was not found.") | |
| exit() | |
| except Exception as e: | |
| print(f"An error occurred while reading the Parquet file: {e}") | |
| exit() | |
| # Convert the DataFrame to a list of dictionaries (records) | |
| records = df.to_dict(orient='records') | |
| # Write the data to a JSON file | |
| with open(output_path, 'w', encoding='utf-8') as f: | |
| # Use json.dump to write the list of dictionaries | |
| json.dump(records, f, ensure_ascii=False, indent=4) | |
| print(f"Successfully converted the dataset to JSON and saved to {output_path}") |