refactored: to utilise the google adk and production grade agent

app/adk/evaluation.py

@@ -0,0 +1,57 @@
+"""ADK Evaluation module for GCP Solution Architecture Agent.
+
+Uses google.adk.evaluation.Evaluator with PostgreSQL database persistence.
+"""
+
+import logging
+import uuid
+from typing import Any, Dict, List, Optional
+
+from app.adk.compat import Evaluator
+from app.adk.runners import ADKAgentRunner
+from app.database import get_db_manager
+from eval.metrics import evaluate_case_run
+
+logger = logging.getLogger(__name__)
+
+
+class ADKEvaluator(Evaluator):
+    """ADK Evaluator persisting evaluation results to PostgreSQL."""
+
+    def __init__(self) -> None:
+        super().__init__()
+        self.runner = ADKAgentRunner()
+        self.db_manager = get_db_manager()
+
+    def evaluate_benchmark_case(self, case: Dict[str, Any]) -> Dict[str, Any]:
+        """Execute and score benchmark case via ADK runner and record to PostgreSQL."""
+        eval_id = str(uuid.uuid4())
+        case_id = case.get("id", "case-unknown")
+        req_summary = case.get("workflow_request", "")
+
+        run_res = self.runner.run_execution(request_summary=req_summary)
+        artifacts = run_res.get("artifacts", {})
+
+        state_for_metrics = {
+            "requirements_doc": artifacts.get("requirements_doc", ""),
+            "architecture_doc": artifacts.get("architecture_doc", ""),
+            "mermaid_diagram": artifacts.get("mermaid_diagram", ""),
+            "terraform_code": artifacts.get("terraform_code", ""),
+            "solution_guide": artifacts.get("solution_guide", ""),
+        }
+
+        eval_result = evaluate_case_run(state_for_metrics, case)
+
+        # Save evaluation to PostgreSQL database
+        self.db_manager.save_evaluation(
+            eval_id=eval_id,
+            case_id=case_id,
+            total_score=eval_result["total_score"],
+            max_score=eval_result["max_score"],
+            pass_rate=eval_result["percentage"],
+            passed=eval_result["passed"],
+            details=eval_result,
+        )
+
+        logger.info("Recorded ADK evaluation %s for case %s (Score: %.1f%%)", eval_id, case_id, eval_result["percentage"])
+        return eval_result