"""
app/nodes/output.py — Final output node

Single source of truth for message history.

Harmful turns: scrub HumanMessage, store nothing — clean history guaranteed.
Safe turns: append AIMessage — LLM gets full context next turn.

This means memory and LLM history are always free of harmful Q&A.
"""
from langchain_core.messages import AIMessage, HumanMessage
from app.state import AgentState


def output_node(state: AgentState) -> AgentState:
    log          = state.get("node_log", []) + ["output"]
    response     = state["response"]
    messages     = list(state["messages"])
    is_harmful   = state.get("is_harmful", False)
    guardrail_ok = state.get("guardrail_passed", True)

    if is_harmful or not guardrail_ok:
        # Scrub current HumanMessage — don't let harmful queries linger in history
        messages = [m for m in messages
                    if not (isinstance(m, HumanMessage) and m.content == state["query"])]
        print(f"\n🤖  {response}\n")
        print("[OUTPUT] ⚠️  Harmful turn scrubbed from history.")
    else:
        # Safe — HumanMessage already in messages via safety_node, add AIMessage
        messages = messages + [AIMessage(content=response)]
        print(f"\n🤖  {response}\n")

    return {**state, "messages": messages, "node_log": log}