#nodes.py
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
from langchain_core.runnables import RunnableConfig

async def pm_node(state: WorkflowState):    
    history = state.get("chat_history", []) or []
    
    if state.get("status") == "spec_incomplete" and state.get("user_feedback"):
        current_input = state["user_feedback"]
        full_user_input = f"{state['user_input']}\n{current_input}"
    else:
        current_input = state["user_input"]
        full_user_input = current_input
    
    spec = await run_pm_agent(user_input=current_input, history=history)
    
    updated_history = list(history)
    updated_history.append({"role": "user", "content": current_input})
    
    if not spec.is_complete and spec.clarifying_question:
        updated_history.append({"role": "assistant", "content": spec.clarifying_question})

    return {
        "spec": spec.model_dump(),
        "status": "spec_ready" if spec.is_complete else "spec_incomplete", 
        "chat_history": updated_history,
        "user_input": full_user_input, 
        "user_feedback": None,
        "loop_count": 0,
    }

async def retrieval_node(state: WorkflowState, config: RunnableConfig):
    qdrant_repo = config.get("configurable", {}).get("qdrant_repo")
    if not qdrant_repo:
        raise ValueError("❌ Erreur : Le repository Qdrant n'a pas été transmis au graphe.")
    
    existing_project = await find_existing_project(qdrant_repo, 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"
    }