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import pandas as pd
import json
import os
from datasets import Dataset, DatasetDict
# Function to read CSV file
def read_csv(file_path):
if not os.path.exists(file_path):
raise FileNotFoundError(f"The file {file_path} does not exist.")
return pd.read_csv(file_path)
# Function to read JSON file
def read_json(file_path):
if not os.path.exists(file_path):
raise FileNotFoundError(f"The file {file_path} does not exist.")
with open(file_path, 'r') as file:
return [json.loads(line) for line in file]
# Function to read NDJSON file
def read_ndjson(file_path):
if not os.path.exists(file_path):
raise FileNotFoundError(f"The file {file_path} does not exist.")
with open(file_path, 'r') as file:
return [json.loads(line) for line in file]
# Consolidate data from different formats
def consolidate_data():
csv_data = read_csv('nvidia_gpus.csv')
json_data = read_json('nvidia_gpus.json')
ndjson_data = read_ndjson('nvidia_gpus.ndjson')
# Combine all data into a single DataFrame
combined_data = pd.concat([csv_data, pd.DataFrame(json_data), pd.DataFrame(ndjson_data)], ignore_index=True)
return combined_data
# Generate summary report
def generate_summary():
output_file = 'nvidia_gpu_summary_report.csv'
data = consolidate_data()
summary = data.describe(include='all')
summary.to_csv(output_file, index=False)
print(f"Summary report generated: {output_file}")
print("Summary report generated: nvidia_gpu_summary_report.csv")
if __name__ == "__main__":
generate_summary()
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