| import pandas as pd | |
| import openai | |
| import logging | |
| import time | |
| logging.basicConfig(level=logging.INFO) | |
| API_BASE_URL = "https://llama.us.gaianet.network/v1" | |
| MODEL_NAME = "llama" | |
| API_KEY = "GAIA" | |
| client = openai.OpenAI(base_url=API_BASE_URL, api_key=API_KEY) | |
| def summarize_code(code, path): | |
| try: | |
| start_time = time.time() | |
| response = client.chat.completions.create( | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": "You are an expert software engineer. Your task is to analyze the provided code and generate a concise, coherent summary that captures the purpose, functionality, and key components of the code. Additionally, highlight any potential issues or areas for improvement." | |
| }, | |
| { | |
| "role": "user", | |
| "content": f"Code from {path}:\n\n{code}", | |
| } | |
| ], | |
| model=MODEL_NAME, | |
| stream=False, | |
| ) | |
| logging.info(f"API call took {time.time() - start_time} seconds.") | |
| return response.choices[0].message.content | |
| except Exception as e: | |
| logging.error(f"Error in summarizing code: {e}") | |
| return "Error: Could not summarize" | |
| def summarize_csv_content(input_csv_file, output_csv_file): | |
| try: | |
| df = pd.read_csv(input_csv_file) | |
| if 'Content' not in df.columns or 'Path' not in df.columns: | |
| raise ValueError("'Content' or 'Path' column not found in the input CSV file.") | |
| logging.info("Starting summarization...") | |
| df['Summary'] = df.apply(lambda row: summarize_code(row['Content'], row['Path']) if pd.notnull(row['Content']) else "", axis=1) | |
| df.to_csv(output_csv_file, index=False) | |
| logging.info(f"Summaries have been generated and saved to {output_csv_file}") | |
| except Exception as e: | |
| logging.error(f"Error processing CSV: {e}") | |
| if __name__ == "__main__": | |
| input_csv_file = '/home/aru/Desktop/Github_analyser/Output/main_repos/wasmedge_shorten.csv' | |
| output_csv_file = '/home/aru/Desktop/Github_analyser/Output/summary/wasmedge_summary.csv' | |
| summarize_csv_content(input_csv_file, output_csv_file) | |