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"""
Test user-specific analytics functions
"""

import pytest
import asyncio
from datetime import datetime, timedelta
from analytics.dashboard import (
    get_user_statistics,
    get_user_analytics,
    get_authenticated_vs_anonymous_metrics,
    get_basic_stats,
    get_hourly_message_stats,
    get_session_stats,
    get_performance_stats
)
from analytics.collectors import create_session, track_message
from analytics.database import get_database, get_sessions_collection, get_messages_collection

@pytest.fixture
async def setup_test_data():
    """Set up test data for user analytics tests"""
    # Create test sessions and messages with different user_ids
    
    # Authenticated user sessions
    auth_session1 = await create_session(user_agent="TestAgent", user_id="user_123")
    auth_session2 = await create_session(user_agent="TestAgent", user_id="user_456")
    
    # Anonymous sessions
    anon_session1 = await create_session(user_agent="TestAgent", user_id=None)
    anon_session2 = await create_session(user_agent="TestAgent")
    
    # Track messages for authenticated users
    await track_message(
        session_id=auth_session1.session_id,
        prompt_length=50,
        response_length=200,
        response_time_ms=1500,
        used_search=True,
        user_id="user_123"
    )
    
    await track_message(
        session_id=auth_session1.session_id,
        prompt_length=30,
        response_length=150,
        response_time_ms=1200,
        used_search=False,
        user_id="user_123"
    )
    
    await track_message(
        session_id=auth_session2.session_id,
        prompt_length=40,
        response_length=180,
        response_time_ms=1800,
        used_search=True,
        user_id="user_456"
    )
    
    # Track messages for anonymous users
    await track_message(
        session_id=anon_session1.session_id,
        prompt_length=60,
        response_length=220,
        response_time_ms=1600,
        used_search=False,
        user_id=None
    )
    
    await track_message(
        session_id=anon_session2.session_id,
        prompt_length=35,
        response_length=160,
        response_time_ms=1300,
        used_search=True
    )
    
    return {
        "auth_sessions": [auth_session1, auth_session2],
        "anon_sessions": [anon_session1, anon_session2],
        "user_ids": ["user_123", "user_456"]
    }

@pytest.mark.asyncio
async def test_get_user_statistics():
    """Test get_user_statistics function"""
    result = await get_user_statistics()
    
    # Should return a dictionary with expected keys
    assert isinstance(result, dict)
    assert "total_sessions" in result
    assert "authenticated_sessions" in result
    assert "anonymous_sessions" in result
    assert "authenticated_session_percentage" in result
    assert "total_messages" in result
    assert "authenticated_messages" in result
    assert "anonymous_messages" in result
    assert "authenticated_message_percentage" in result
    assert "unique_authenticated_users" in result
    assert "last_updated" in result
    
    # Values should be non-negative
    assert result["total_sessions"] >= 0
    assert result["authenticated_sessions"] >= 0
    assert result["anonymous_sessions"] >= 0
    assert result["total_messages"] >= 0
    assert result["authenticated_messages"] >= 0
    assert result["anonymous_messages"] >= 0
    assert result["unique_authenticated_users"] >= 0
    
    # Percentages should be between 0 and 100
    assert 0 <= result["authenticated_session_percentage"] <= 100
    assert 0 <= result["authenticated_message_percentage"] <= 100

@pytest.mark.asyncio
async def test_get_user_analytics_valid_user():
    """Test get_user_analytics function with valid user_id"""
    result = await get_user_analytics("user_123")
    
    # Should return a dictionary with expected keys
    assert isinstance(result, dict)
    assert "user_id" in result
    assert result["user_id"] == "user_123"
    assert "total_sessions" in result
    assert "active_sessions" in result
    assert "total_messages" in result
    assert "messages_with_search" in result
    assert "search_usage_percentage" in result
    assert "avg_response_time_ms" in result
    assert "min_response_time_ms" in result
    assert "max_response_time_ms" in result
    assert "avg_session_duration_seconds" in result
    assert "max_session_duration_seconds" in result
    assert "ended_sessions" in result
    assert "avg_messages_per_session" in result
    assert "max_messages_per_session" in result
    assert "daily_activity_last_30_days" in result
    assert "last_updated" in result
    
    # Values should be non-negative
    assert result["total_sessions"] >= 0
    assert result["active_sessions"] >= 0
    assert result["total_messages"] >= 0
    assert result["messages_with_search"] >= 0
    assert result["avg_response_time_ms"] >= 0
    assert result["min_response_time_ms"] >= 0
    assert result["max_response_time_ms"] >= 0
    assert result["avg_session_duration_seconds"] >= 0
    assert result["max_session_duration_seconds"] >= 0
    assert result["ended_sessions"] >= 0
    assert result["avg_messages_per_session"] >= 0
    assert result["max_messages_per_session"] >= 0
    
    # Search usage percentage should be between 0 and 100
    assert 0 <= result["search_usage_percentage"] <= 100
    
    # Daily activity should be a list
    assert isinstance(result["daily_activity_last_30_days"], list)

@pytest.mark.asyncio
async def test_get_user_analytics_invalid_user():
    """Test get_user_analytics function with invalid user_id"""
    # Test with None
    result = await get_user_analytics(None)
    assert "error" in result
    
    # Test with empty string
    result = await get_user_analytics("")
    assert "error" in result
    
    # Test with non-string
    result = await get_user_analytics(123)
    assert "error" in result

@pytest.mark.asyncio
async def test_get_authenticated_vs_anonymous_metrics():
    """Test get_authenticated_vs_anonymous_metrics function"""
    result = await get_authenticated_vs_anonymous_metrics()
    
    # Should return a dictionary with expected keys
    assert isinstance(result, dict)
    assert "authenticated" in result
    assert "anonymous" in result
    assert "comparison" in result
    assert "last_updated" in result
    
    # Check authenticated metrics structure
    auth_metrics = result["authenticated"]
    assert "sessions" in auth_metrics
    assert "messages" in auth_metrics
    assert "avg_messages_per_session" in auth_metrics
    assert "avg_response_time_ms" in auth_metrics
    assert "search_usage_percentage" in auth_metrics
    assert "success_rate_percentage" in auth_metrics
    assert "sessions_with_search_percentage" in auth_metrics
    
    # Check anonymous metrics structure
    anon_metrics = result["anonymous"]
    assert "sessions" in anon_metrics
    assert "messages" in anon_metrics
    assert "avg_messages_per_session" in anon_metrics
    assert "avg_response_time_ms" in anon_metrics
    assert "search_usage_percentage" in anon_metrics
    assert "success_rate_percentage" in anon_metrics
    assert "sessions_with_search_percentage" in anon_metrics
    
    # Check comparison metrics structure
    comparison = result["comparison"]
    assert "total_sessions" in comparison
    assert "total_messages" in comparison
    assert "authenticated_percentage" in comparison
    
    # Values should be non-negative
    assert auth_metrics["sessions"] >= 0
    assert auth_metrics["messages"] >= 0
    assert anon_metrics["sessions"] >= 0
    assert anon_metrics["messages"] >= 0
    assert comparison["total_sessions"] >= 0
    assert comparison["total_messages"] >= 0
    
    # Percentages should be between 0 and 100
    assert 0 <= auth_metrics["search_usage_percentage"] <= 100
    assert 0 <= auth_metrics["success_rate_percentage"] <= 100
    assert 0 <= auth_metrics["sessions_with_search_percentage"] <= 100
    assert 0 <= anon_metrics["search_usage_percentage"] <= 100
    assert 0 <= anon_metrics["success_rate_percentage"] <= 100
    assert 0 <= anon_metrics["sessions_with_search_percentage"] <= 100
    assert 0 <= comparison["authenticated_percentage"] <= 100

@pytest.mark.asyncio
async def test_basic_stats_with_user_filter():
    """Test get_basic_stats function with user_id filter"""
    # Test without filter
    result_all = await get_basic_stats()
    assert isinstance(result_all, dict)
    assert "filtered_by_user_id" not in result_all
    
    # Test with user filter
    result_filtered = await get_basic_stats(user_id="user_123")
    assert isinstance(result_filtered, dict)
    assert "filtered_by_user_id" in result_filtered
    assert result_filtered["filtered_by_user_id"] == "user_123"
    
    # Filtered results should have same or fewer counts
    assert result_filtered["total_sessions"] <= result_all["total_sessions"]
    assert result_filtered["total_messages"] <= result_all["total_messages"]

@pytest.mark.asyncio
async def test_hourly_stats_with_user_filter():
    """Test get_hourly_message_stats function with user_id filter"""
    # Test without filter
    result_all = await get_hourly_message_stats(hours=24)
    assert isinstance(result_all, list)
    
    # Test with user filter
    result_filtered = await get_hourly_message_stats(hours=24, user_id="user_123")
    assert isinstance(result_filtered, list)
    
    # Each hour entry should have expected structure
    for hour_data in result_filtered:
        assert "hour" in hour_data
        assert "message_count" in hour_data
        assert "search_count" in hour_data
        assert "avg_response_time_ms" in hour_data
        assert "success_rate" in hour_data

@pytest.mark.asyncio
async def test_session_stats_with_user_filter():
    """Test get_session_stats function with user_id filter"""
    # Test without filter
    result_all = await get_session_stats()
    assert isinstance(result_all, dict)
    assert "filtered_by_user_id" not in result_all
    
    # Test with user filter
    result_filtered = await get_session_stats(user_id="user_123")
    assert isinstance(result_filtered, dict)
    assert "filtered_by_user_id" in result_filtered
    assert result_filtered["filtered_by_user_id"] == "user_123"
    
    # Filtered results should have same or fewer counts
    assert result_filtered["total_sessions"] <= result_all["total_sessions"]
    assert result_filtered["active_sessions"] <= result_all["active_sessions"]

@pytest.mark.asyncio
async def test_performance_stats_with_user_filter():
    """Test get_performance_stats function with user_id filter"""
    # Test without filter
    result_all = await get_performance_stats()
    assert isinstance(result_all, dict)
    assert "filtered_by_user_id" not in result_all
    
    # Test with user filter
    result_filtered = await get_performance_stats(user_id="user_123")
    assert isinstance(result_filtered, dict)
    assert "filtered_by_user_id" in result_filtered
    assert result_filtered["filtered_by_user_id"] == "user_123"
    
    # Filtered results should have same or fewer counts
    assert result_filtered["total_messages"] <= result_all["total_messages"]
    assert result_filtered["failed_messages"] <= result_all["failed_messages"]

if __name__ == "__main__":
    # Run a simple test to verify functions work
    async def main():
        print("Testing user analytics functions...")
        
        try:
            # Test user statistics
            user_stats = await get_user_statistics()
            print(f"User statistics: {user_stats}")
            
            # Test authenticated vs anonymous metrics
            auth_anon_metrics = await get_authenticated_vs_anonymous_metrics()
            print(f"Auth vs Anon metrics: {auth_anon_metrics}")
            
            # Test basic stats with filter
            basic_stats = await get_basic_stats(user_id="test_user")
            print(f"Basic stats (filtered): {basic_stats}")
            
            print("All tests completed successfully!")
            
        except Exception as e:
            print(f"Error during testing: {e}")
    
    asyncio.run(main())