_script_for_eval.py

import os
import subprocess
import json
import logging
from github import Github
import tiktoken
from pathlib import Path
import shutil

# Set up logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')

# Initialize GitHub client
github_token = os.getenv('GITHUB_TOKEN')
if not github_token:
    raise ValueError("GITHUB_TOKEN environment variable is not set")
g = Github(github_token)

# Initialize tokenizer
tokenizer = tiktoken.get_encoding("cl100k_base")

def clone_repo(repo_url, repo_name):
    tmp_dir = f"/tmp/{repo_name}"
    subprocess.run(["git", "clone", "--depth", "1", repo_url, tmp_dir], check=True)
    return tmp_dir

def get_repo_content(repo_dir):
    content = []
    for root, dirs, files in os.walk(repo_dir):
        if "test" in root.lower() or "example" in root.lower():
            continue
        for file in files:
            if file.endswith('.py'):
                file_path = os.path.join(root, file)
                relative_path = os.path.relpath(file_path, repo_dir)
                with open(file_path, 'r') as f:
                    file_content = f.read()
                content.append(f"File: {relative_path}\n\n{file_content}\n\n")
    return "\n".join(content)

def count_tokens(text):
    return len(tokenizer.encode(text))

def process_repo(repo):
    repo_name = repo.name
    repo_url = repo.clone_url
    logging.info(f"Processing repository: {repo_name}")

    try:
        tmp_dir = clone_repo(repo_url, repo_name)
        readme_path = os.path.join(tmp_dir, "README.md")
        
        if not os.path.exists(readme_path):
            logging.info(f"README.md not found in {repo_name}")
            return None

        repo_content = get_repo_content(tmp_dir)
        if count_tokens(repo_content) >= 100000:
            logging.info(f"Repository {repo_name} content exceeds 100k tokens")
            return None

        with open(readme_path, 'r') as f:
            readme_content = f.read()

        repo_commit = subprocess.check_output(["git", "rev-parse", "HEAD"], cwd=tmp_dir).decode().strip()

        return {
            "repo_name": repo_name,
            "repo_commit": repo_commit,
            "repo_content": repo_content,
            "repo_readme": readme_content
        }
    except Exception as e:
        logging.error(f"Error processing repository {repo_name}: {str(e)}")
        return None
    finally:
        if 'tmp_dir' in locals():
            shutil.rmtree(tmp_dir)

def load_existing_data(filename):
    existing_data = {}
    if os.path.exists(filename):
        with open(filename, "r") as f:
            for line in f:
                item = json.loads(line)
                existing_data[item['repo_name']] = item
    return existing_data

def save_dataset(filename, dataset, mode='a'):
    with open(filename, mode) as f:
        for item in dataset:
            json.dump(item, f)
            f.write("\n")

def main():
    g = Github(os.getenv('GITHUB_TOKEN'))
    filename = "generate-readme-eval.jsonl"
    existing_data = load_existing_data(filename)
    
    new_dataset = []
    updated_count = 0
    skipped_count = 0

    repos = g.search_repositories(query="language:python stars:>1000 forks:>100", sort="stars", order="desc")

    for i, repo in enumerate(repos[200:400]):
        if repo.full_name in existing_data:
            existing_item = existing_data[repo.full_name]
            if existing_item['repo_commit'] == repo.get_commits()[0].sha:
                skipped_count += 1
                logging.info(f"Skipped {repo.full_name}: Already processed with same commit")
                continue
            else:
                logging.info(f"Updating {repo.full_name}: Commit changed")
                updated_count += 1
        
        item = process_repo(repo)
        if item:
            new_dataset.append(item)
        
        if i % 10 == 0:
            logging.info(f"Processed {i+1} repositories")

    # Append new and updated items to the file
    save_dataset(filename, new_dataset, mode='a')

    logging.info(f"Dataset updated with {len(new_dataset)} new/updated items")
    logging.info(f"Skipped {skipped_count} repositories (no changes)")
    logging.info(f"Updated {updated_count} repositories")

if __name__ == "__main__":
    main()