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b428d0a37e
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Enterprise AI Code Review / ai-review (pull_request) Successful in 27s
- Add review-again command to trigger PR review without new commits - Implement review comparison logic to show resolved/new/changed issues - Update workflow to handle PR comments via dispatcher - Add comprehensive help documentation in README and CLAUDE.md - Show diff from previous review with resolved/new issues count - Update PR labels based on new severity assessment - Support re-evaluation after config changes or false positive clarification Key features: - ✅ Shows diff from previous review (resolved/new/changed issues) - 🏷️ Updates labels based on new severity - ⚡ No need for empty commits to trigger review - 🔧 Respects latest .ai-review.yml configuration Closes feature request for manual PR re-review capability
857 lines
30 KiB
Python
857 lines
30 KiB
Python
"""Issue Review Agent
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AI agent for triaging, labeling, and responding to issues.
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Handles issue.opened, issue.labeled, and issue_comment events.
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"""
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import logging
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import re
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from dataclasses import dataclass
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from agents.base_agent import AgentContext, AgentResult, BaseAgent
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@dataclass
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class TriageResult:
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"""Result of issue triage analysis."""
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issue_type: str
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priority: str
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confidence: float
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summary: str
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suggested_labels: list[str]
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is_duplicate: bool
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duplicate_of: int | None
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needs_more_info: bool
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missing_info: list[str]
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components: list[str]
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reasoning: str
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class IssueAgent(BaseAgent):
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"""Agent for handling issue events."""
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# Marker specific to issue comments
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ISSUE_AI_MARKER = "<!-- AI_ISSUE_TRIAGE -->"
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def can_handle(self, event_type: str, event_data: dict) -> bool:
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"""Check if this agent handles the given event."""
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# Check if agent is enabled
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agent_config = self.config.get("agents", {}).get("issue", {})
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if not agent_config.get("enabled", True):
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return False
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# Handle issue events
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if event_type == "issues":
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action = event_data.get("action", "")
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allowed_events = agent_config.get("events", ["opened", "labeled"])
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if action not in allowed_events:
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return False
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# Ignore our own codebase reports to prevent double-commenting
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issue = event_data.get("issue", {})
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title = issue.get("title", "")
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labels = [l.get("name") for l in issue.get("labels", [])]
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if "AI Codebase Report" in title or "ai-codebase-report" in labels:
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return False
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return True
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# Handle issue comment events (for @mentions)
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if event_type == "issue_comment":
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action = event_data.get("action", "")
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if action == "created":
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comment_body = event_data.get("comment", {}).get("body", "")
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mention_prefix = self.config.get("interaction", {}).get(
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"mention_prefix", "@ai-bot"
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)
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return mention_prefix in comment_body
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return False
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def execute(self, context: AgentContext) -> AgentResult:
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"""Execute the issue agent."""
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event_data = context.event_data
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action = event_data.get("action", "")
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if context.event_type == "issues":
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if action == "opened":
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return self._handle_issue_opened(context)
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elif action == "labeled":
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return self._handle_issue_labeled(context)
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if context.event_type == "issue_comment":
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return self._handle_issue_comment(context)
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return AgentResult(
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success=False,
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message=f"Unknown action: {action}",
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)
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def _handle_issue_opened(self, context: AgentContext) -> AgentResult:
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"""Handle a newly opened issue."""
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issue = context.event_data.get("issue", {})
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issue_index = issue.get("number")
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title = issue.get("title", "")
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body = issue.get("body", "")
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author = issue.get("user", {}).get("login", "unknown")
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existing_labels = [l.get("name", "") for l in issue.get("labels", [])]
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self.logger.info(f"Triaging issue #{issue_index}: {title}")
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# Step 1: Triage the issue
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triage = self._triage_issue(title, body, author, existing_labels)
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actions_taken = []
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# Step 2: Apply labels if auto-label is enabled
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agent_config = self.config.get("agents", {}).get("issue", {})
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if agent_config.get("auto_label", True):
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labels_applied = self._apply_labels(
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context.owner, context.repo, issue_index, triage
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)
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if labels_applied:
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actions_taken.append(f"Applied labels: {labels_applied}")
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# Step 3: Post triage comment
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comment = self._generate_triage_comment(triage, issue)
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self.upsert_comment(
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context.owner,
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context.repo,
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issue_index,
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comment,
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marker=self.ISSUE_AI_MARKER,
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)
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actions_taken.append("Posted triage comment")
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return AgentResult(
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success=True,
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message=f"Triaged issue #{issue_index} as {triage.issue_type} ({triage.priority} priority)",
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data={
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"triage": {
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"type": triage.issue_type,
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"priority": triage.priority,
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"confidence": triage.confidence,
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}
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},
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actions_taken=actions_taken,
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)
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def _handle_issue_labeled(self, context: AgentContext) -> AgentResult:
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"""Handle label addition to an issue."""
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# Could be used for specific label-triggered actions
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issue = context.event_data.get("issue", {})
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label = context.event_data.get("label", {})
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return AgentResult(
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success=True,
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message=f"Noted label '{label.get('name')}' added to issue #{issue.get('number')}",
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)
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def _handle_issue_comment(self, context: AgentContext) -> AgentResult:
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"""Handle @mention in issue comment."""
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issue = context.event_data.get("issue", {})
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comment = context.event_data.get("comment", {})
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issue_index = issue.get("number")
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comment_body = comment.get("body", "")
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comment_author = comment.get("user", {}).get("login", "user")
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# Parse command from mention
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command = self._parse_command(comment_body)
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if command:
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response = self._handle_command(context, issue, command)
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# Add user mention at the top
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response_with_mention = f"@{comment_author}\n\n{response}"
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self.gitea.create_issue_comment(
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context.owner, context.repo, issue_index, response_with_mention
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)
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return AgentResult(
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success=True,
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message=f"Responded to command: {command}",
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actions_taken=["Posted command response"],
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)
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return AgentResult(
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success=True,
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message="No actionable command found in mention",
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)
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def _triage_issue(
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self,
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title: str,
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body: str,
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author: str,
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existing_labels: list[str],
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) -> TriageResult:
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"""Use LLM to triage the issue."""
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prompt_template = self.load_prompt("issue_triage")
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prompt = prompt_template.format(
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title=title,
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body=body or "(no description provided)",
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author=author,
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existing_labels=", ".join(existing_labels) if existing_labels else "none",
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)
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try:
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result = self.call_llm_json(prompt)
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return TriageResult(
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issue_type=result.get("type", "question"),
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priority=result.get("priority", "medium"),
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confidence=result.get("confidence", 0.5),
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summary=result.get("summary", title),
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suggested_labels=result.get("suggested_labels", []),
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is_duplicate=result.get("is_duplicate", False),
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duplicate_of=result.get("duplicate_of"),
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needs_more_info=result.get("needs_more_info", False),
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missing_info=result.get("missing_info", []),
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components=result.get("components", []),
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reasoning=result.get("reasoning", ""),
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)
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except Exception as e:
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self.logger.warning(f"LLM triage failed: {e}")
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# Return default triage on failure
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return TriageResult(
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issue_type="question",
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priority="medium",
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confidence=0.3,
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summary=title,
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suggested_labels=[],
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is_duplicate=False,
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duplicate_of=None,
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needs_more_info=True,
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missing_info=["Unable to parse issue automatically"],
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components=[],
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reasoning="Automatic triage failed, needs human review",
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)
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def _get_label_name(self, label_config: str | dict) -> str:
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"""Get label name from config (supports both old string and new dict format).
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Args:
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label_config: Either a string (old format) or dict with 'name' key (new format)
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Returns:
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Label name as string
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"""
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if isinstance(label_config, str):
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return label_config
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elif isinstance(label_config, dict):
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return label_config.get("name", "")
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return ""
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def _get_label_config(self, category: str, key: str) -> dict:
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"""Get full label configuration from config.
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Args:
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category: Label category (type, priority, status)
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key: Label key within category (bug, high, etc.)
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Returns:
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Dict with name, color, description, aliases
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"""
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labels_config = self.config.get("labels", {})
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category_config = labels_config.get(category, {})
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label_config = category_config.get(key, {})
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# Handle old string format
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if isinstance(label_config, str):
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return {
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"name": label_config,
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"color": "1d76db", # Default blue
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"description": "",
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"aliases": [],
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}
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# Handle new dict format
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return {
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"name": label_config.get("name", ""),
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"color": label_config.get("color", "1d76db"),
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"description": label_config.get("description", ""),
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"aliases": label_config.get("aliases", []),
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}
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def _apply_labels(
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self,
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owner: str,
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repo: str,
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issue_index: int,
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triage: TriageResult,
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) -> list[str]:
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"""Apply labels based on triage result."""
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# Get all repo labels
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try:
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repo_labels = self.gitea.get_repo_labels(owner, repo)
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label_map = {l["name"]: l["id"] for l in repo_labels}
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except Exception as e:
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self.logger.warning(f"Failed to get repo labels: {e}")
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return []
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labels_to_add = []
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# Map priority using new helper
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priority_config = self._get_label_config("priority", triage.priority)
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priority_label_name = priority_config["name"]
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if priority_label_name and priority_label_name in label_map:
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labels_to_add.append(label_map[priority_label_name])
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# Map type using new helper
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type_config = self._get_label_config("type", triage.issue_type)
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type_label_name = type_config["name"]
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if type_label_name and type_label_name in label_map:
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labels_to_add.append(label_map[type_label_name])
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# Add AI reviewed label using new helper
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reviewed_config = self._get_label_config("status", "ai_reviewed")
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reviewed_label_name = reviewed_config["name"]
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if reviewed_label_name and reviewed_label_name in label_map:
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labels_to_add.append(label_map[reviewed_label_name])
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if labels_to_add:
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try:
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self.gitea.add_issue_labels(owner, repo, issue_index, labels_to_add)
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return [name for name, id in label_map.items() if id in labels_to_add]
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except Exception as e:
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self.logger.warning(f"Failed to add labels: {e}")
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return []
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def _generate_triage_comment(self, triage: TriageResult, issue: dict) -> str:
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"""Generate a triage summary comment."""
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lines = [
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f"{self.AI_DISCLAIMER}",
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"",
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"## AI Issue Triage",
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"",
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f"| Field | Value |",
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f"|-------|--------|",
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f"| **Type** | {triage.issue_type.capitalize()} |",
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f"| **Priority** | {triage.priority.capitalize()} |",
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f"| **Confidence** | {triage.confidence:.0%} |",
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"",
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]
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if triage.summary != issue.get("title"):
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lines.append(f"**Summary:** {triage.summary}")
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lines.append("")
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if triage.components:
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lines.append(f"**Components:** {', '.join(triage.components)}")
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lines.append("")
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if triage.needs_more_info and triage.missing_info:
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lines.append("### Additional Information Needed")
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lines.append("")
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for info in triage.missing_info:
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lines.append(f"- {info}")
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lines.append("")
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if triage.is_duplicate and triage.duplicate_of:
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lines.append(f"### Possible Duplicate")
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lines.append(f"This issue may be a duplicate of #{triage.duplicate_of}")
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lines.append("")
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lines.append("---")
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lines.append(f"*{triage.reasoning}*")
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return "\n".join(lines)
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def _parse_command(self, body: str) -> str | None:
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"""Parse a command from a comment body."""
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mention_prefix = self.config.get("interaction", {}).get(
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"mention_prefix", "@ai-bot"
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)
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commands = self.config.get("interaction", {}).get(
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"commands", ["explain", "suggest", "security", "summarize", "triage"]
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)
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# Also check for setup-labels command (not in config since it's a setup command)
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if f"{mention_prefix} setup-labels" in body.lower():
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return "setup-labels"
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for command in commands:
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if f"{mention_prefix} {command}" in body.lower():
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return command
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return None
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def _handle_command(self, context: AgentContext, issue: dict, command: str) -> str:
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"""Handle a command from an @mention."""
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title = issue.get("title", "")
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body = issue.get("body", "")
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if command == "help":
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return self._command_help()
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elif command == "summarize":
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return self._command_summarize(title, body)
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elif command == "explain":
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return self._command_explain(title, body)
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elif command == "suggest":
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return self._command_suggest(title, body)
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elif command == "triage":
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return self._command_triage(context, issue)
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elif command == "setup-labels":
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return self._command_setup_labels(context, issue)
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return f"{self.AI_DISCLAIMER}\n\nSorry, I don't understand the command `{command}`."
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def _command_summarize(self, title: str, body: str) -> str:
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"""Generate a summary of the issue."""
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prompt = f"""Summarize the following issue in 2-3 concise sentences:
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Title: {title}
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Body: {body}
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Provide only the summary, no additional formatting."""
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try:
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response = self.call_llm(prompt)
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return f"{self.AI_DISCLAIMER}\n\n**Summary:**\n{response.content}"
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except Exception as e:
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return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to generate a summary. Error: {e}"
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def _command_explain(self, title: str, body: str) -> str:
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"""Explain the issue in more detail."""
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prompt = f"""Analyze this issue and provide a clear explanation of what the user is asking for or reporting:
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Title: {title}
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Body: {body}
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Provide:
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1. What the issue is about
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2. What the user expects
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3. Any technical context that might be relevant
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Be concise and helpful."""
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try:
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response = self.call_llm(prompt)
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return f"{self.AI_DISCLAIMER}\n\n**Explanation:**\n{response.content}"
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except Exception as e:
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return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to explain this issue. Error: {e}"
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def _command_suggest(self, title: str, body: str) -> str:
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"""Suggest solutions for the issue."""
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prompt = f"""Based on this issue, suggest potential solutions or next steps:
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Title: {title}
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Body: {body}
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Provide 2-3 actionable suggestions. If this is a bug, suggest debugging steps. If this is a feature request, suggest implementation approaches.
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Be practical and concise."""
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try:
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response = self.call_llm(prompt)
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return f"{self.AI_DISCLAIMER}\n\n**Suggestions:**\n{response.content}"
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except Exception as e:
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return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to generate suggestions. Error: {e}"
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def _command_help(self) -> str:
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"""Generate help message with all available commands."""
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mention_prefix = self.config.get("interaction", {}).get(
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"mention_prefix", "@codebot"
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)
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help_text = f"""{self.AI_DISCLAIMER}
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## Available {mention_prefix} Commands
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### Issue Triage & Analysis
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- `{mention_prefix} triage` - Full issue triage with auto-labeling and priority assignment
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- `{mention_prefix} summarize` - Generate 2-3 sentence summary of the issue
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- `{mention_prefix} explain` - Detailed explanation of what the issue is about
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- `{mention_prefix} suggest` - Solution suggestions or next steps
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- `{mention_prefix} security` - Security-focused analysis of the issue
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### Interactive Chat
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- `{mention_prefix} [question]` - Ask questions about the codebase (uses search & file reading tools)
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- Example: `{mention_prefix} how does authentication work?`
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- Example: `{mention_prefix} find all API endpoints`
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### Setup & Utility
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- `{mention_prefix} help` - Show this help message
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- `{mention_prefix} setup-labels` - Auto-create/map repository labels for auto-labeling
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### Pull Request Analysis
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PR reviews run automatically when you open or update a pull request. The bot provides:
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- Inline code review comments
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- Security vulnerability scanning
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- Approval or change-request recommendations
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**Manual re-review:**
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- `{mention_prefix} review-again` - Re-run AI review on current PR state (in PR comments)
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- Shows diff from previous review (resolved/new issues)
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- Updates labels and recommendations
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- Useful after addressing feedback or updating config
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---
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### Quick Examples
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**Triage an issue:**
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```
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{mention_prefix} triage
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```
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**Get help understanding:**
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```
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{mention_prefix} explain
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```
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**Ask about the codebase:**
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```
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{mention_prefix} how does the authentication system work?
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```
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**Setup repository labels:**
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```
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{mention_prefix} setup-labels
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```
|
|
|
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---
|
|
|
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*For full documentation, see the [README](https://github.com/YourOrg/OpenRabbit/blob/main/README.md)*
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"""
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return help_text
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|
|
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def _command_triage(self, context: AgentContext, issue: dict) -> str:
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|
"""Perform full triage analysis on the issue."""
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title = issue.get("title", "")
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body = issue.get("body", "")
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author = issue.get("user", {}).get("login", "unknown")
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existing_labels = [l.get("name", "") for l in issue.get("labels", [])]
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issue_index = issue.get("number")
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try:
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# Perform triage analysis
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triage = self._triage_issue(title, body, author, existing_labels)
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|
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# Apply labels if enabled
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agent_config = self.config.get("agents", {}).get("issue", {})
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labels_applied = []
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if agent_config.get("auto_label", True):
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labels_applied = self._apply_labels(
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context.owner, context.repo, issue_index, triage
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)
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# Generate response
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response = self._generate_triage_comment(triage, issue)
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if labels_applied:
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response += f"\n\n**Labels Applied:** {', '.join(labels_applied)}"
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|
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return response
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except Exception as e:
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|
return f"{self.AI_DISCLAIMER}\n\nSorry, I was unable to triage this issue. Error: {e}"
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def _command_setup_labels(self, context: AgentContext, issue: dict) -> str:
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|
"""Setup repository labels for auto-labeling."""
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owner = context.owner
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repo = context.repo
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try:
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# Get existing labels
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existing_labels = self.gitea.get_repo_labels(owner, repo)
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existing_names = {
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label["name"].lower(): label["name"] for label in existing_labels
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}
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# Detect schema
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schema = self._detect_label_schema(existing_labels)
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# Determine mode
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if schema and len(existing_labels) >= 5:
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# Repository has existing labels, use mapping mode
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return self._setup_labels_map_mode(
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owner, repo, existing_labels, schema, existing_names
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)
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else:
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# Fresh repository or few labels, use create mode
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return self._setup_labels_create_mode(owner, repo, existing_names)
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except Exception as e:
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self.logger.error(f"Label setup failed: {e}")
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return f"{self.AI_DISCLAIMER}\n\n**Label Setup Failed**\n\nError: {e}\n\nPlease ensure the bot has write access to this repository."
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def _detect_label_schema(self, labels: list[dict]) -> dict | None:
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"""Detect the naming pattern used in existing labels.
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Returns:
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{
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"pattern": "prefix_slash" | "prefix_dash" | "colon",
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"categories": {
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"type": ["Kind/Bug", "Kind/Feature", ...],
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"priority": ["Priority - High", ...],
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}
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}
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"""
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patterns_config = self.config.get("label_patterns", {})
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patterns = {
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"prefix_slash": re.compile(
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patterns_config.get("prefix_slash", r"^(Kind|Type|Category)/(.+)$")
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),
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"prefix_dash": re.compile(
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patterns_config.get(
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|
"prefix_dash", r"^(Priority|Status|Reviewed) - (.+)$"
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)
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),
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"colon": re.compile(
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patterns_config.get("colon", r"^(type|priority|status): (.+)$")
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),
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}
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categorized = {}
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detected_pattern = None
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|
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for label in labels:
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name = label["name"]
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|
|
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for pattern_name, regex in patterns.items():
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|
match = regex.match(name)
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|
if match:
|
|
category = match.group(1).lower()
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# Normalize category names
|
|
if category == "kind":
|
|
category = "type"
|
|
elif category == "reviewed":
|
|
category = "status"
|
|
|
|
if category not in categorized:
|
|
categorized[category] = []
|
|
|
|
categorized[category].append(name)
|
|
detected_pattern = pattern_name
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break
|
|
|
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if not categorized:
|
|
return None
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|
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|
return {"pattern": detected_pattern, "categories": categorized}
|
|
|
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def _build_label_mapping(self, existing_labels: list[dict], schema: dict) -> dict:
|
|
"""Build mapping from OpenRabbit schema to existing labels.
|
|
|
|
Returns:
|
|
{
|
|
"type": {
|
|
"bug": "Kind/Bug",
|
|
"feature": "Kind/Feature",
|
|
},
|
|
"priority": {
|
|
"high": "Priority - High",
|
|
}
|
|
}
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"""
|
|
mapping = {}
|
|
label_names_lower = {
|
|
label["name"].lower(): label["name"] for label in existing_labels
|
|
}
|
|
|
|
# Get all configured labels with their aliases
|
|
labels_config = self.config.get("labels", {})
|
|
|
|
for category in ["type", "priority", "status"]:
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category_config = labels_config.get(category, {})
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mapping[category] = {}
|
|
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for key, label_def in category_config.items():
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|
config = self._get_label_config(category, key)
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aliases = config.get("aliases", [])
|
|
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# Try to find a match using aliases
|
|
for alias in aliases:
|
|
if alias.lower() in label_names_lower:
|
|
mapping[category][key] = label_names_lower[alias.lower()]
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|
break
|
|
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|
return mapping
|
|
|
|
def _setup_labels_map_mode(
|
|
self,
|
|
owner: str,
|
|
repo: str,
|
|
existing_labels: list[dict],
|
|
schema: dict,
|
|
existing_names: dict,
|
|
) -> str:
|
|
"""Map existing labels to OpenRabbit schema."""
|
|
|
|
# Build mapping
|
|
mapping = self._build_label_mapping(existing_labels, schema)
|
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|
|
# Get required labels
|
|
required_labels = self._get_required_labels()
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|
|
|
# Find missing labels
|
|
missing = []
|
|
for category, items in required_labels.items():
|
|
for key in items:
|
|
if key not in mapping.get(category, {}):
|
|
missing.append((category, key))
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|
|
# Format report
|
|
lines = [f"{self.AI_DISCLAIMER}\n"]
|
|
lines.append("## Label Schema Detected\n")
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|
lines.append(
|
|
f"Found {len(existing_labels)} existing labels with pattern: `{schema['pattern']}`\n"
|
|
)
|
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|
lines.append("**Detected Categories:**")
|
|
for category, labels in schema["categories"].items():
|
|
lines.append(f"- **{category.title()}** ({len(labels)} labels)")
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|
lines.append("")
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|
lines.append("**Proposed Mapping:**\n")
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|
lines.append("| OpenRabbit Expected | Your Existing Label | Status |")
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|
lines.append("|---------------------|---------------------|--------|")
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|
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|
for category, items in required_labels.items():
|
|
for key in items:
|
|
openrabbit_config = self._get_label_config(category, key)
|
|
openrabbit_name = openrabbit_config["name"]
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if key in mapping.get(category, {}):
|
|
existing_name = mapping[category][key]
|
|
lines.append(
|
|
f"| `{openrabbit_name}` | `{existing_name}` | ✅ Map |"
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)
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else:
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|
lines.append(f"| `{openrabbit_name}` | *(missing)* | ⚠️ Create |")
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|
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|
lines.append("")
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|
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|
# Create missing labels
|
|
if missing:
|
|
lines.append(f"**Creating Missing Labels ({len(missing)}):**\n")
|
|
created_count = 0
|
|
|
|
for category, key in missing:
|
|
config = self._get_label_config(category, key)
|
|
suggested_name = self._suggest_label_name(
|
|
category, key, schema["pattern"]
|
|
)
|
|
|
|
# Check if label already exists (case-insensitive)
|
|
if suggested_name.lower() not in existing_names:
|
|
try:
|
|
self.gitea.create_label(
|
|
owner,
|
|
repo,
|
|
suggested_name,
|
|
config["color"],
|
|
config["description"],
|
|
)
|
|
lines.append(
|
|
f"✅ Created `{suggested_name}` (#{config['color']})"
|
|
)
|
|
created_count += 1
|
|
except Exception as e:
|
|
lines.append(f"❌ Failed to create `{suggested_name}`: {e}")
|
|
else:
|
|
lines.append(f"⚠️ `{suggested_name}` already exists")
|
|
|
|
lines.append("")
|
|
if created_count > 0:
|
|
lines.append(f"**✅ Created {created_count} new labels!**")
|
|
else:
|
|
lines.append("**✅ All Required Labels Present!**")
|
|
|
|
lines.append("\n**Setup Complete!**")
|
|
lines.append("Auto-labeling will use your existing label schema.")
|
|
|
|
return "\n".join(lines)
|
|
|
|
def _setup_labels_create_mode(
|
|
self, owner: str, repo: str, existing_names: dict
|
|
) -> str:
|
|
"""Create OpenRabbit default labels."""
|
|
|
|
lines = [f"{self.AI_DISCLAIMER}\n"]
|
|
lines.append("## Creating OpenRabbit Labels\n")
|
|
|
|
# Get all required labels
|
|
required_labels = self._get_required_labels()
|
|
|
|
created = []
|
|
skipped = []
|
|
failed = []
|
|
|
|
for category, items in required_labels.items():
|
|
for key in items:
|
|
config = self._get_label_config(category, key)
|
|
label_name = config["name"]
|
|
|
|
# Check if already exists (case-insensitive)
|
|
if label_name.lower() in existing_names:
|
|
skipped.append(label_name)
|
|
continue
|
|
|
|
try:
|
|
self.gitea.create_label(
|
|
owner, repo, label_name, config["color"], config["description"]
|
|
)
|
|
created.append((label_name, config["color"]))
|
|
except Exception as e:
|
|
failed.append((label_name, str(e)))
|
|
|
|
if created:
|
|
lines.append(f"**✅ Created {len(created)} Labels:**\n")
|
|
for name, color in created:
|
|
lines.append(f"- `{name}` (#{color})")
|
|
lines.append("")
|
|
|
|
if skipped:
|
|
lines.append(f"**⚠️ Skipped {len(skipped)} Existing Labels:**\n")
|
|
for name in skipped:
|
|
lines.append(f"- `{name}`")
|
|
lines.append("")
|
|
|
|
if failed:
|
|
lines.append(f"**❌ Failed to Create {len(failed)} Labels:**\n")
|
|
for name, error in failed:
|
|
lines.append(f"- `{name}`: {error}")
|
|
lines.append("")
|
|
|
|
lines.append("**✅ Setup Complete!**")
|
|
lines.append("Auto-labeling is now configured.")
|
|
|
|
return "\n".join(lines)
|
|
|
|
def _get_required_labels(self) -> dict:
|
|
"""Get all required label categories and keys.
|
|
|
|
Returns:
|
|
{
|
|
"type": ["bug", "feature", "question", "docs"],
|
|
"priority": ["high", "medium", "low"],
|
|
"status": ["ai_approved", "ai_changes_required", "ai_reviewed"]
|
|
}
|
|
"""
|
|
labels_config = self.config.get("labels", {})
|
|
required = {}
|
|
|
|
for category in ["type", "priority", "status"]:
|
|
category_config = labels_config.get(category, {})
|
|
required[category] = list(category_config.keys())
|
|
|
|
return required
|
|
|
|
def _suggest_label_name(self, category: str, key: str, pattern: str) -> str:
|
|
"""Suggest a label name based on detected pattern."""
|
|
|
|
# Get the configured name first
|
|
config = self._get_label_config(category, key)
|
|
base_name = config["name"]
|
|
|
|
if pattern == "prefix_slash":
|
|
prefix = "Kind" if category == "type" else category.title()
|
|
value = key.replace("_", " ").title()
|
|
return f"{prefix}/{value}"
|
|
elif pattern == "prefix_dash":
|
|
prefix = "Kind" if category == "type" else category.title()
|
|
value = key.replace("_", " ").title()
|
|
return f"{prefix} - {value}"
|
|
else: # colon or unknown
|
|
return base_name
|