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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}")