#!/usr/bin/env python # /// script # requires-python = ">=3.10" # dependencies = [ # "httpx", # ] # /// """ Auto-close duplicate GitHub issues. This script runs on a schedule to automatically close issues that have been marked as duplicates and haven't received any preventing activity. """ import os from dataclasses import dataclass from datetime import datetime, timedelta, timezone import httpx @dataclass class Issue: """Represents a GitHub issue.""" number: int title: str state: str created_at: str user_id: int user_login: str @dataclass class Comment: """Represents a GitHub comment.""" id: int body: str created_at: str user_id: int user_login: str user_type: str @dataclass class Reaction: """Represents a reaction on a comment.""" user_id: int user_login: str content: str class GitHubClient: """Client for interacting with GitHub API.""" def __init__(self, token: str, owner: str, repo: str): self.token = token self.owner = owner self.repo = repo self.headers = { "Authorization": f"token {token}", "Accept": "application/vnd.github.v3+json", } self.base_url = f"https://api.github.com/repos/{owner}/{repo}" def get_open_issues( self, created_before: datetime, page: int = 1, per_page: int = 100 ) -> list[Issue]: """Fetch open issues created before a certain date.""" url = f"{self.base_url}/issues" issues = [] with httpx.Client() as client: response = client.get( url, headers=self.headers, params={"state": "open", "per_page": per_page, "page": page}, ) if response.status_code != 200: print(f"Error fetching issues: {response.status_code}") return issues data = response.json() for item in data: # Skip pull requests if "pull_request" in item: continue created_at = datetime.fromisoformat( item["created_at"].replace("Z", "+00:00") ) if created_at <= created_before: issues.append( Issue( number=item["number"], title=item["title"], state=item["state"], created_at=item["created_at"], user_id=item["user"]["id"], user_login=item["user"]["login"], ) ) return issues def get_issue_comments(self, issue_number: int) -> list[Comment]: """Fetch all comments for an issue.""" url = f"{self.base_url}/issues/{issue_number}/comments" comments = [] with httpx.Client() as client: page = 1 while True: response = client.get( url, headers=self.headers, params={"page": page, "per_page": 100} ) if response.status_code != 200: break data = response.json() if not data: break for comment_data in data: comments.append( Comment( id=comment_data["id"], body=comment_data["body"], created_at=comment_data["created_at"], user_id=comment_data["user"]["id"], user_login=comment_data["user"]["login"], user_type=comment_data["user"]["type"], ) ) page += 1 if page > 10: # Safety limit break return comments def get_comment_reactions( self, issue_number: int, comment_id: int ) -> list[Reaction]: """Fetch reactions for a specific comment.""" url = f"{self.base_url}/issues/{issue_number}/comments/{comment_id}/reactions" reactions = [] with httpx.Client() as client: response = client.get(url, headers=self.headers) if response.status_code != 200: return reactions data = response.json() for reaction_data in data: reactions.append( Reaction( user_id=reaction_data["user"]["id"], user_login=reaction_data["user"]["login"], content=reaction_data["content"], ) ) return reactions def close_issue(self, issue_number: int, comment: str) -> bool: """Close an issue with a comment and add duplicate label.""" # First add the comment comment_url = f"{self.base_url}/issues/{issue_number}/comments" with httpx.Client() as client: response = client.post( comment_url, headers=self.headers, json={"body": comment} ) if response.status_code != 201: print(f"Failed to add comment to issue #{issue_number}") return False # Add the duplicate label labels_url = f"{self.base_url}/issues/{issue_number}/labels" with httpx.Client() as client: response = client.post( labels_url, headers=self.headers, json={"labels": ["duplicate"]} ) if response.status_code not in [200, 201]: print(f"Failed to add duplicate label to issue #{issue_number}") # Then close the issue issue_url = f"{self.base_url}/issues/{issue_number}" with httpx.Client() as client: response = client.patch( issue_url, headers=self.headers, json={"state": "closed"} ) return response.status_code == 200 def find_duplicate_comment(comments: list[Comment]) -> Comment | None: """Find a bot comment marking the issue as duplicate.""" for comment in comments: # Check for the specific duplicate message format from a bot if ( comment.user_type == "Bot" and "possible duplicate issues" in comment.body.lower() ): return comment return None def should_close_as_duplicate( issue: Issue, duplicate_comment: Comment, all_comments: list[Comment], reactions: list[Reaction], ) -> bool: """Determine if an issue should be closed as duplicate.""" # Check if comment is old enough (3 days) comment_date = datetime.fromisoformat( duplicate_comment.created_at.replace("Z", "+00:00") ) three_days_ago = datetime.now(timezone.utc) - timedelta(days=3) if comment_date > three_days_ago: return False # Check for preventing reactions (thumbs down) for reaction in reactions: if reaction.content in ["-1", "confused"]: print( f"Issue #{issue.number}: Has preventing reaction from {reaction.user_login}" ) return False # Check for user activity after the duplicate comment for comment in all_comments: comment_date_check = datetime.fromisoformat( comment.created_at.replace("Z", "+00:00") ) if comment_date_check > comment_date: # Issue author commented after duplicate marking if comment.user_id == issue.user_id: print( f"Issue #{issue.number}: Author commented after duplicate marking" ) return False return True def main(): """Main entry point for auto-closing duplicate issues.""" print("[DEBUG] Starting auto-close duplicates script") # Get environment variables token = os.environ.get("GITHUB_TOKEN") if not token: raise ValueError("GITHUB_TOKEN environment variable is required") owner = os.environ.get("GITHUB_REPOSITORY_OWNER", "jlowin") repo = os.environ.get("GITHUB_REPOSITORY_NAME", "fastmcp") print(f"[DEBUG] Repository: {owner}/{repo}") # Initialize client client = GitHubClient(token, owner, repo) # Get issues created more than 3 days ago three_days_ago = datetime.now(timezone.utc) - timedelta(days=3) all_issues = [] page = 1 while page <= 20: # Safety limit issues = client.get_open_issues(three_days_ago, page=page) if not issues: break all_issues.extend(issues) page += 1 print(f"[DEBUG] Found {len(all_issues)} open issues created more than 3 days ago") processed_count = 0 closed_count = 0 for issue in all_issues: processed_count += 1 if processed_count % 10 == 0: print(f"[DEBUG] Processed {processed_count}/{len(all_issues)} issues") # Get comments for this issue comments = client.get_issue_comments(issue.number) # Look for duplicate marking comment duplicate_comment = find_duplicate_comment(comments) if not duplicate_comment: continue print(f"[DEBUG] Issue #{issue.number} has duplicate comment") # Get reactions on the duplicate comment reactions = client.get_comment_reactions(issue.number, duplicate_comment.id) # Check if we should close if should_close_as_duplicate(issue, duplicate_comment, comments, reactions): close_message = ( "Closing this issue as a duplicate based on the automated analysis above.\n\n" "The duplicate issues identified contain existing discussions and potential solutions. " "Please add your 👍 to those issues if they match your use case.\n\n" "If this was closed in error, please leave a comment explaining why this is not " "a duplicate and we'll reopen it." ) if client.close_issue(issue.number, close_message): print(f"[SUCCESS] Closed issue #{issue.number} as duplicate") closed_count += 1 else: print(f"[ERROR] Failed to close issue #{issue.number}") print(f"[DEBUG] Processing complete. Closed {closed_count} duplicate issues") if __name__ == "__main__": main()