"""
Integration tests for logxide.
Tests real-world scenarios that work with current implementation.
"""

import threading
import time
from concurrent.futures import ThreadPoolExecutor, as_completed

import pytest

from logxide import logging


class TestDropInReplacement:
    """Test logxide as a drop-in replacement for Python logging."""

    @pytest.mark.integration
    def test_python_logging_compatibility(self, clean_logging_state):
        """Test that logxide works like Python's logging module."""
        # This should work exactly like Python's logging module
        logging.basicConfig()

        # Create loggers like in standard Python logging
        root_logger = logging.getLogger()
        app_logger = logging.getLogger("myapp")
        db_logger = logging.getLogger("myapp.database")
        api_logger = logging.getLogger("myapp.api")

        # Test logger hierarchy
        assert root_logger.name == "root"
        assert app_logger.name == "myapp"
        assert db_logger.name == "myapp.database"
        assert api_logger.name == "myapp.api"

        # Test logging methods exist
        root_logger.info("Root logger message")
        app_logger.warning("Application warning")
        db_logger.error("Database error")
        api_logger.debug("API debug info")

        logging.flush()

    @pytest.mark.integration
    def test_third_party_library_simulation(self, clean_logging_state):
        """Simulate how third-party libraries would use logging."""
        logging.basicConfig()

        # Simulate requests library
        requests_logger = logging.getLogger("requests.sessions")
        requests_logger.info("Starting new HTTPS connection")

        # Simulate SQLAlchemy
        sqlalchemy_logger = logging.getLogger("sqlalchemy.engine")
        sqlalchemy_logger.info("BEGIN (implicit)")
        sqlalchemy_logger.info("SELECT user.id FROM users WHERE user.name = ?")
        sqlalchemy_logger.info("COMMIT")

        # Simulate Flask
        flask_logger = logging.getLogger("werkzeug")
        flask_logger.info('127.0.0.1 - - [10/Oct/2024 13:55:36] "GET / HTTP/1.1" 200 -')

        logging.flush()

    @pytest.mark.integration
    def test_application_logging_patterns(self, clean_logging_state):
        """Test common application logging patterns."""
        logging.basicConfig()

        # Application structure
        main_logger = logging.getLogger("myapp")
        auth_logger = logging.getLogger("myapp.auth")
        user_logger = logging.getLogger("myapp.user")
        payment_logger = logging.getLogger("myapp.payment")

        # Simulate application flow
        main_logger.info("Application starting up")
        auth_logger.info("Authentication service initialized")
        user_logger.info("User service started")
        payment_logger.info("Payment processor connected")

        # Simulate user actions
        auth_logger.info("User login attempt: user123")
        user_logger.info("User profile loaded: user123")
        payment_logger.warning("Payment method validation required")
        auth_logger.info("User logout: user123")

        main_logger.info("Application shutdown")
        logging.flush()


class TestConcurrency:
    """Test concurrent logging scenarios."""

    @pytest.mark.integration
    def test_concurrent_logging_different_loggers(self, clean_logging_state):
        """Test concurrent logging from different components."""
        logging.basicConfig()

        results = []

        def database_worker():
            logger = logging.getLogger("app.database")
            for i in range(10):
                logger.info(f"Database query {i}")
                time.sleep(0.001)
            results.append("database_done")

        def api_worker():
            logger = logging.getLogger("app.api")
            for i in range(10):
                logger.info(f"API request {i}")
                time.sleep(0.001)
            results.append("api_done")

        def cache_worker():
            logger = logging.getLogger("app.cache")
            for i in range(10):
                logger.info(f"Cache operation {i}")
                time.sleep(0.001)
            results.append("cache_done")

        # Start all workers
        threads = [
            threading.Thread(target=database_worker),
            threading.Thread(target=api_worker),
            threading.Thread(target=cache_worker),
        ]

        for t in threads:
            t.start()

        for t in threads:
            t.join()

        logging.flush()

        # All workers should complete
        assert "database_done" in results
        assert "api_done" in results
        assert "cache_done" in results

    @pytest.mark.integration
    def test_threadpool_logging(self, clean_logging_state):
        """Test logging with ThreadPoolExecutor."""
        logging.basicConfig()

        def process_request(request_id):
            logger = logging.getLogger(f"worker.{threading.current_thread().ident}")
            logger.info(f"Processing request {request_id}")
            time.sleep(0.01)  # Simulate work
            logger.info(f"Completed request {request_id}")
            return f"result_{request_id}"

        # Use ThreadPoolExecutor
        with ThreadPoolExecutor(max_workers=3) as executor:
            futures = [executor.submit(process_request, i) for i in range(10)]

            results = []
            for future in as_completed(futures):
                result = future.result()
                results.append(result)

        logging.flush()

        # All tasks should complete
        assert len(results) == 10
        for i in range(10):
            assert f"result_{i}" in results


class TestErrorHandling:
    """Test error handling scenarios."""

    @pytest.mark.integration
    def test_logging_with_exceptions(self, clean_logging_state):
        """Test logging when exceptions occur."""
        logging.basicConfig()
        logger = logging.getLogger("error.test")

        # Test normal operation
        logger.info("Starting operation")

        # Test with exception handling
        try:
            raise ValueError("Something went wrong")
        except ValueError as e:
            logger.error(f"Error occurred: {e}")

        try:
            result = 1 / 0
        except ZeroDivisionError:
            logger.error("Division by zero error")

        logger.info("Operation completed despite errors")
        logging.flush()

    @pytest.mark.integration
    def test_malformed_log_messages(self, clean_logging_state):
        """Test handling of various message types."""
        logging.basicConfig()
        logger = logging.getLogger("malformed.test")

        # Test different message types
        logger.info("Normal string message")
        logger.info("")  # Empty string
        logger.info(str(None))  # None value as string
        logger.info(str(42))  # Integer as string
        logger.info(str([1, 2, 3]))  # List as string
        logger.info(str({"key": "value"}))  # Dictionary as string

        logging.flush()


class TestPerformance:
    """Test performance-related scenarios."""

    @pytest.mark.integration
    def test_high_volume_logging(self, clean_logging_state):
        """Test logging a high volume of messages."""
        logging.basicConfig()
        logger = logging.getLogger("performance.test")

        start_time = time.time()

        # Log many messages
        for i in range(1000):
            logger.info(f"High volume message {i}")

        logging.flush()
        elapsed = time.time() - start_time

        # Should complete in reasonable time (less than 5 seconds)
        assert elapsed < 5.0

    @pytest.mark.integration
    def test_many_loggers_performance(self, clean_logging_state):
        """Test performance with many different loggers."""
        logging.basicConfig()

        start_time = time.time()

        # Create many loggers and log from each
        loggers = []
        for i in range(100):
            logger = logging.getLogger(f"perf.logger.{i}")
            loggers.append(logger)
            logger.info(f"Message from logger {i}")

        logging.flush()
        elapsed = time.time() - start_time

        # Should complete in reasonable time
        assert elapsed < 2.0
        assert len(loggers) == 100
