"""
Pytest configuration and shared fixtures for regression tests
"""

import pytest
import asyncio
import os
from typing import AsyncGenerator, Dict, Any
from unittest.mock import AsyncMock, MagicMock
from fastapi.testclient import TestClient
from httpx import AsyncClient

# Import the FastAPI app
from app.app import app

@pytest.fixture(scope="session")
def event_loop():
    """Create an instance of the default event loop for the test session."""
    loop = asyncio.get_event_loop_policy().new_event_loop()
    yield loop
    loop.close()

@pytest.fixture
def client():
    """Create a test client for the FastAPI app."""
    return TestClient(app)

@pytest.fixture
async def async_client() -> AsyncGenerator[AsyncClient, None]:
    """Create an async test client for the FastAPI app."""
    async with AsyncClient(app=app, base_url="http://test") as ac:
        yield ac

@pytest.fixture
def mock_mongodb():
    """Mock MongoDB connection."""
    mock_db = MagicMock()
    mock_collection = MagicMock()
    mock_db.__getitem__.return_value = mock_collection
    return mock_db

@pytest.fixture
def mock_redis():
    """Mock Redis connection."""
    mock_redis = AsyncMock()
    mock_redis.get.return_value = None
    mock_redis.set.return_value = True
    mock_redis.delete.return_value = True
    return mock_redis

@pytest.fixture
def sample_merchant_data():
    """Sample merchant data for testing."""
    return {
        "_id": "test_merchant_123",
        "name": "Test Hair Salon",
        "category": "salon",
        "subcategory": "hair_salon",
        "location": {
            "type": "Point",
            "coordinates": [-74.0060, 40.7128]  # NYC coordinates
        },
        "address": {
            "street": "123 Test Street",
            "city": "New York",
            "state": "NY",
            "zip_code": "10001"
        },
        "contact": {
            "phone": "+1-555-0123",
            "email": "test@testsalon.com"
        },
        "business_hours": {
            "monday": {"open": "09:00", "close": "18:00"},
            "tuesday": {"open": "09:00", "close": "18:00"},
            "wednesday": {"open": "09:00", "close": "18:00"},
            "thursday": {"open": "09:00", "close": "18:00"},
            "friday": {"open": "09:00", "close": "19:00"},
            "saturday": {"open": "08:00", "close": "17:00"},
            "sunday": {"closed": True}
        },
        "services": [
            {"name": "Haircut", "price": 50.0, "duration": 60},
            {"name": "Hair Color", "price": 120.0, "duration": 120},
            {"name": "Blowout", "price": 35.0, "duration": 45}
        ],
        "amenities": ["parking", "wifi", "wheelchair_accessible"],
        "average_rating": 4.5,
        "total_reviews": 127,
        "price_range": "$$",
        "is_active": True,
        "created_at": "2024-01-01T00:00:00Z",
        "updated_at": "2024-01-15T12:00:00Z"
    }

@pytest.fixture
def sample_search_query():
    """Sample search query for testing."""
    return {
        "query": "find the best hair salon near me with parking",
        "latitude": 40.7128,
        "longitude": -74.0060,
        "radius": 5000,  # 5km
        "category": "salon"
    }

@pytest.fixture
def mock_nlp_pipeline():
    """Mock NLP pipeline for testing."""
    mock_pipeline = AsyncMock()
    mock_pipeline.process_query.return_value = {
        "query": "test query",
        "primary_intent": {
            "intent": "SEARCH_SERVICE",
            "confidence": 0.85
        },
        "entities": {
            "service_types": ["haircut"],
            "amenities": ["parking"],
            "location_modifiers": ["near me"]
        },
        "similar_services": [("salon", 0.9)],
        "search_parameters": {
            "merchant_category": "salon",
            "amenities": ["parking"],
            "radius": 5000
        },
        "processing_time": 0.123
    }
    return mock_pipeline

@pytest.fixture(autouse=True)
def setup_test_environment():
    """Setup test environment variables."""
    os.environ["TESTING"] = "true"
    os.environ["MONGODB_URL"] = "mongodb://localhost:27017/test_db"
    os.environ["REDIS_URL"] = "redis://localhost:6379/1"
    os.environ["ALLOWED_ORIGINS"] = "http://localhost:3000,http://testserver"
    yield
    # Cleanup
    for key in ["TESTING", "MONGODB_URL", "REDIS_URL", "ALLOWED_ORIGINS"]:
        os.environ.pop(key, None)

@pytest.fixture
def performance_test_data():
    """Data for performance testing."""
    return {
        "queries": [
            "find a hair salon",
            "best spa near me",
            "gym with parking",
            "dental clinic open now",
            "massage therapy luxury",
            "budget-friendly fitness center",
            "nail salon walking distance",
            "pet-friendly grooming",
            "24/7 pharmacy",
            "organic restaurant"
        ],
        "expected_max_response_time": 2.0,  # seconds
        "expected_min_success_rate": 0.95   # 95%
    }