# =============================================================
# File: tests/test_intent.py
# =============================================================

import sys
from pathlib import Path

# Add backend directory to Python path
backend_dir = Path(__file__).parent.parent
sys.path.insert(0, str(backend_dir))

try:
    import pytest
    HAS_PYTEST = True
except ImportError:
    HAS_PYTEST = False
    # Create a mock pytest decorator if pytest is not available
    class MockMark:
        def asyncio(self, func):
            return func
    class MockPytest:
        mark = MockMark()
    pytest = MockPytest()

import asyncio
from api.services.intent_classifier import IntentClassifier
from api.services.llm_client import LLMClient
from api.services.redflag_detector import RedFlagDetector
from api.services.tool_selector import ToolSelector
from api.models.redflag import RedFlagMatch


@pytest.mark.asyncio
async def test_intent_rag_keywords():
    classifier = IntentClassifier()
    intent = await classifier.classify("Please check the HR policy document")
    assert intent == "rag"

@pytest.mark.asyncio
async def test_intent_web_keywords():
    classifier = IntentClassifier()
    intent = await classifier.classify("latest news about Tesla stock")
    assert intent == "web"

@pytest.mark.asyncio
async def test_intent_admin_keywords():
    classifier = IntentClassifier()
    intent = await classifier.classify("export all user data")
    assert intent == "admin"

@pytest.mark.asyncio
async def test_intent_general():
    classifier = IntentClassifier()
    intent = await classifier.classify("explain how gravity works")
    assert intent == "general"


# ---- LLM fallback test ----

class FakeLLM:
    async def simple_call(self, prompt: str, temperature: float = 0.0):
        return "web"

@pytest.mark.asyncio
async def test_intent_llm_fallback():
    classifier = IntentClassifier(llm_client=FakeLLM())
    intent = await classifier.classify("What's going on in the world?")
    assert intent == "web"


# ---- Manual run function (for non-pytest execution) ----

async def run_manual_tests():
    llm = LLMClient()
    clf = IntentClassifier(llm_client=llm)
    
    # Initialize detector with empty creds (will return empty results if no Supabase)
    import os
    detector = RedFlagDetector(
        supabase_url=os.getenv("SUPABASE_URL") or "",
        supabase_key=os.getenv("SUPABASE_SERVICE_KEY") or ""
    )
    selector = ToolSelector(llm_client=llm)

    print("Intent Classification:")
    print("RAG:", await clf.classify("summarize internal policy"))
    print("WEB:", await clf.classify("latest news about ai"))
    print("ADMIN:", await clf.classify("delete all data"))
    print("GENERAL:", await clf.classify("hi how are you"))
    
    print("\nRedFlag checks (will be empty if no Supabase configured):")
    try:
        print(await detector.check("tenant123", "My email is test@gmail.com"))
        print(await detector.check("tenant123", "delete all data now"))
        print(await detector.check("tenant123", "confidential salary report"))
        print(await detector.check("tenant123", "hello world"))
    except Exception as e:
        print(f"RedFlag check failed (expected if Supabase not configured): {e}")
    
    print("\nTool selection:")
    print(await selector.select("admin", "delete all data", {}))
    print(await selector.select("rag", "summarize policy", {}))
    print(await selector.select("web", "latest news", {}))
    print(await selector.select("general", "hello", {}))
    
    print("\nLLM Test:")
    try:
        if llm.url and llm.model:
            result = await llm.simple_call("Hello Llama!")
            print(f"LLM Result: {result}")
        else:
            print("LLM not configured (OLLAMA_URL/OLLAMA_MODEL not set) - skipping LLM test")
    except Exception as e:
        print(f"LLM call failed (expected if Ollama not running or not configured): {e}")


if __name__ == "__main__":
    asyncio.run(run_manual_tests())