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docs: Update adk docs update workflow to invoke the updater agent once per suggestion
Co-authored-by: Xuan Yang <xygoogle@google.com> PiperOrigin-RevId: 842789476
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@@ -24,13 +24,14 @@ from adk_documentation.settings import DOC_OWNER
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from adk_documentation.settings import DOC_REPO
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from adk_documentation.tools import get_issue
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from adk_documentation.utils import call_agent_async
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from adk_documentation.utils import parse_suggestions
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from google.adk.cli.utils import logs
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from google.adk.runners import InMemoryRunner
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APP_NAME = "adk_docs_updater"
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USER_ID = "adk_docs_updater_user"
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logs.setup_adk_logger(level=logging.DEBUG)
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logs.setup_adk_logger(level=logging.INFO)
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def process_arguments():
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@@ -68,23 +69,84 @@ async def main():
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print(f"Failed to get issue {issue_number}: {get_issue_response}\n")
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return
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issue = get_issue_response["issue"]
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issue_title = issue.get("title", "")
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issue_body = issue.get("body", "")
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# Parse numbered suggestions from issue body
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suggestions = parse_suggestions(issue_body)
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if not suggestions:
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print(f"No numbered suggestions found in issue #{issue_number}.")
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print("Falling back to processing the entire issue as a single task.")
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suggestions = [(1, issue_body)]
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print(f"Found {len(suggestions)} suggestion(s) in issue #{issue_number}.")
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print("=" * 80)
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runner = InMemoryRunner(
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agent=agent.root_agent,
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app_name=APP_NAME,
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)
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session = await runner.session_service.create_session(
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app_name=APP_NAME,
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user_id=USER_ID,
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)
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response = await call_agent_async(
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runner,
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USER_ID,
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session.id,
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f"Please update the ADK docs according to the following issue:\n{issue}",
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results = []
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for suggestion_num, suggestion_text in suggestions:
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print(f"\n>>> Processing suggestion #{suggestion_num}...")
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print("-" * 80)
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# Create a new session for each suggestion to avoid context interference
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session = await runner.session_service.create_session(
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app_name=APP_NAME,
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user_id=USER_ID,
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)
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prompt = f"""
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Please update the ADK docs according to suggestion #{suggestion_num} from issue #{issue_number}.
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Issue title: {issue_title}
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Suggestion to process:
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{suggestion_text}
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Note: Focus only on this specific suggestion. Create exactly one pull request for this suggestion.
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"""
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try:
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response = await call_agent_async(
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runner,
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USER_ID,
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session.id,
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prompt,
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)
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results.append({
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"suggestion_num": suggestion_num,
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"status": "success",
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"response": response,
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})
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print(f"<<<< Suggestion #{suggestion_num} completed.")
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except Exception as e:
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results.append({
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"suggestion_num": suggestion_num,
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"status": "error",
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"error": str(e),
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})
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print(f"<<<< Suggestion #{suggestion_num} failed: {e}")
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print("-" * 80)
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# Print summary
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print("\n" + "=" * 80)
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print("SUMMARY")
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print("=" * 80)
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successful = [r for r in results if r["status"] == "success"]
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failed = [r for r in results if r["status"] == "error"]
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print(
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f"Total: {len(results)}, Success: {len(successful)}, Failed:"
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f" {len(failed)}"
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)
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print(f"<<<< Agent Final Output: {response}\n")
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if failed:
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print("\nFailed suggestions:")
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for r in failed:
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print(f" - Suggestion #{r['suggestion_num']}: {r['error']}")
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if __name__ == "__main__":
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