refactored: to utilise the google adk and production grade agent

app/nodes/source_discover_node.py

@@ -0,0 +1,43 @@
+"""Phase 0a: Existing Source Environment Discovery Node."""
+
+import logging
+import re
+from typing import Any, Dict
+from app.states.state import GCPArchitectureState
+from app.skills.loader import SkillLoader
+from app.tools.gcp_scanner import GCPEnvironmentScanner
+
+logger = logging.getLogger(__name__)
+
+
+def source_discover_node(state: GCPArchitectureState, skill_loader: SkillLoader) -> Dict[str, Any]:
+    """Processes Phase 0a Source Environment Discovery: documents existing as-is architecture before target migration."""
+    logger.info("Executing source_discover_node")
+    skill_prompt = skill_loader.format_skills_for_prompt("source_discover")
+
+    # Extract target GCP project ID from request if specified
+    request_summary = state.get("workflow_request", "")
+    project_id = state.get("project_id")
+    if not project_id and request_summary:
+        match = re.search(r"project\s+([a-z0-9-]+)", request_summary, re.IGNORECASE)
+        if match:
+            project_id = match.group(1)
+
+    # Run live GCP environment scanner
+    scanner = GCPEnvironmentScanner(project_id=project_id)
+    scan_result = scanner.scan_environment()
+    report = scanner.format_scan_report(scan_result)
+
+    source_discovery_doc = report["doc"]
+    source_mermaid_diagram = report["mermaid"]
+
+    active_skills = state.get("active_skills", [])
+    if "source_discovery" not in active_skills:
+        active_skills.append("source_discovery")
+
+    return {
+        "source_discovery_doc": source_discovery_doc,
+        "source_mermaid_diagram": source_mermaid_diagram,
+        "current_phase": "source_discover",
+        "active_skills": active_skills,
+    }