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}")