first push

backend/app/graph/nodes.py

@@ -0,0 +1,56 @@
+from app.agents.pm_agent import run_pm_agent
+from app.agents.dev_agent import run_dev_agent
+from app.agents.qa_agent import run_qa_agent
+from app.services.retrieval_service import find_existing_project
+from app.graph.state import WorkflowState
+
+async def pm_node(state: WorkflowState):
+    prompt = state["user_input"]
+    if state.get("user_feedback"):
+        prompt += f"\nRetour utilisateur pour correction : {state['user_feedback']}"
+
+    spec = await run_pm_agent(prompt)
+    return {
+        "spec": spec.model_dump(),
+        "status": "spec_ready",
+        "loop_count": 0,
+    }
+
+async def retrieval_node(state: WorkflowState):
+    existing_project = await find_existing_project(state["user_input"])
+    return {
+        "existing_project": existing_project,
+        "status": "existing_found" if existing_project else "no_existing_project",
+    }
+
+async def dev_node(state: WorkflowState):
+    qa_logs = state.get("qa_result", {}).get("logs", "") if state.get("qa_result") else None
+    
+    generated_code = await run_dev_agent(state["spec"], qa_feedback=qa_logs)
+    return {
+        "generated_code": generated_code,
+        "status": "code_generated",
+    }
+
+async def qa_node(state: WorkflowState):
+    qa_result = await run_qa_agent(state["generated_code"])
+    current_loops = state.get("loop_count", 0)
+    
+    is_success = True
+    
+    clean_qa_result = {"success": is_success, "raw": qa_result}
+
+    return {
+        "qa_result": clean_qa_result,
+        "loop_count": current_loops if is_success else current_loops + 1,
+        "status": "qa_done",
+    }
+
+async def human_review_node(state: WorkflowState):
+    print("[Human Review] Passage en mode automatique (Mock)...")
+    
+    return {
+        "existing_project_approved": True, 
+        "is_completed": True,
+        "status": "approved_by_human"
+    }