"""
LangGraph orchestrator: wires all nodes with conditional edges.

Flow:
  START
    → router_node
    ├─ CHAT → generator_node → END
    └─ RAG  → retriever_node → grader_node
                ├─ retry → retriever_node (max 2x)
                └─ generate → generator_node → END
"""
from __future__ import annotations

from langgraph.graph import StateGraph, END

from backend.agents.state import GraphState
from backend.agents.nodes.router import router_node
from backend.agents.nodes.retriever import retriever_node
from backend.agents.nodes.grader import grader_node, should_retry
from backend.agents.nodes.generator import generator_node


def _route_after_router(state: GraphState) -> str:
    return state.get("route", "RAG")


def _increment_retry(state: GraphState) -> dict:
    """Node nhỏ chỉ để tăng retry_count trước khi quay lại retriever."""
    return {"retry_count": state.get("retry_count", 0) + 1}


def build_graph() -> StateGraph:
    graph = StateGraph(GraphState)

    # Thêm nodes
    graph.add_node("router", router_node)
    graph.add_node("retriever", retriever_node)
    graph.add_node("grader", grader_node)
    graph.add_node("generator", generator_node)
    graph.add_node("increment_retry", _increment_retry)

    # Entry point
    graph.set_entry_point("router")

    # Router → CHAT hoặc RAG
    graph.add_conditional_edges(
        "router",
        _route_after_router,
        {
            "CHAT": "generator",
            "RAG": "retriever",
        },
    )

    # Retriever → Grader
    graph.add_edge("retriever", "grader")

    # Grader → Generate hoặc Retry
    graph.add_conditional_edges(
        "grader",
        should_retry,
        {
            "retry": "increment_retry",
            "generate": "generator",
        },
    )

    # Retry → quay lại retriever
    graph.add_edge("increment_retry", "retriever")

    # Generator → END
    graph.add_edge("generator", END)

    return graph.compile()


# Singleton compiled graph
_compiled_graph = None


def get_graph():
    global _compiled_graph
    if _compiled_graph is None:
        _compiled_graph = build_graph()
    return _compiled_graph