GradeLib

from gradelib import setup_async, RepoManager
import os
import asyncio

# Required initialization for async operations
setup_async()

# Define repositories to analyze
repo_urls = [
    "https://github.com/student1/project",
    "https://github.com/student2/project",
    "https://github.com/student3/project"
]

# Create a repository manager with multiple repos
manager = RepoManager(
    urls=repo_urls,
    github_username=os.getenv("GITHUB_USERNAME"),
    github_token=os.getenv("GITHUB_TOKEN")
)

# Clone all repositories in parallel
await manager.clone_all()

# Get clone status and repo paths
clone_tasks = await manager.fetch_clone_tasks()

# Process pull requests from all repos in a single API call
pull_requests = await manager.fetch_pull_requests(repo_urls, state="all")

# Analyze commit history for all repos using their URLs
commits_per_repo = {}
for repo_url in repo_urls:
    commits_per_repo[repo_url] = await manager.analyze_commits(repo_url)

# Generate statistics
for repo_url, commits in commits_per_repo.items():
    print(f"Repository: {repo_url}")
    print(f"Total commits: {len(commits)}")
    authors = {commit['author_name'] for commit in commits}
    print(f"Contributors: {', '.join(authors)}")
    print("---")

from gradelib import TaigaClient

# Initialize Taiga client
client = TaigaClient(
    base_url="https://api.taiga.io/api/v1/",
    auth_token=os.getenv("TAIGA_TOKEN"),
    username=os.getenv("TAIGA_USERNAME")
)

# Fetch multiple projects concurrently
team_slugs = ["team1-project", "team2-project", "team3-project"]
results = await client.fetch_multiple_projects(team_slugs)

# Process each project's data
for slug in team_slugs:
    if results[slug] is True:  # Successfully fetched
        project_data = await client.fetch_project_data(slug)

        # Analyze sprint metrics
        sprints = project_data["sprints"]
        print(f"Project: {slug}")
        print(f"Number of sprints: {len(sprints)}")

        # Analyze user stories
        user_stories = project_data["user_stories"]
        print(f"User stories: {len(user_stories)}")

        # Task distribution analysis
        tasks = project_data["tasks"]
        print(f"Total tasks: {len(tasks)}")
        print("---")