"""
tests/test_nodes.py
────────────────────
Unit tests for individual nodes using a mock LLM so no API key is needed.
Run with: pytest tests/
"""

import pytest
from unittest.mock import patch, MagicMock
from langchain_core.messages import HumanMessage, AIMessage

from app.state import AgentState
from app.nodes.guardrails import guardrails_node
from app.nodes.output import output_node
from app.tools.calculator import calculator


# ── Helpers ───────────────────────────────────────────────────────────────

def make_state(**overrides) -> AgentState:
    base: AgentState = {
        "messages": [],
        "query": "test query",
        "route": "general",
        "rag_context": "",
        "tool_calls": [],
        "tool_results": [],
        "response": "Hello!",
        "retry_count": 0,
        "hitl_approved": True,
        "evaluation_score": 0.8,
        "guardrail_passed": True,
        "memory_summary": "",
    }
    return {**base, **overrides}


# ── Calculator tool ───────────────────────────────────────────────────────

def test_calculator_basic():
    assert calculator.invoke({"expression": "2 + 2"}) == "4"

def test_calculator_complex():
    assert calculator.invoke({"expression": "10 * 5 - 3"}) == "47"

def test_calculator_bad_input():
    result = calculator.invoke({"expression": "import os"})
    assert "Error" in result


# ── Guardrails node ───────────────────────────────────────────────────────

def test_guardrails_passes_clean_response():
    state = make_state(response="The weather in Pune is sunny today.")
    result = guardrails_node(state)
    assert result["guardrail_passed"] is True
    assert result["response"] == "The weather in Pune is sunny today."

def test_guardrails_blocks_harmful_response():
    state = make_state(response="Here is how to cause harm to someone...")
    result = guardrails_node(state)
    assert result["guardrail_passed"] is False
    assert "can't help" in result["response"]


# ── Output node ───────────────────────────────────────────────────────────

def test_output_node_appends_message():
    state = make_state(messages=[HumanMessage(content="Hi")], response="Hello!")
    result = output_node(state)
    assert len(result["messages"]) == 2
    assert isinstance(result["messages"][-1], AIMessage)
    assert result["messages"][-1].content == "Hello!"