#!/usr/bin/env python
"""
Start LightRAG server with Gunicorn
"""

import os
import sys
import platform
import pipmaster as pm
from lightrag.api.utils_api import display_splash_screen, check_env_file
from lightrag.api.config import global_args
from lightrag.utils import get_env_value
from lightrag.kg.shared_storage import initialize_share_data

from lightrag.constants import (
    DEFAULT_WOKERS,
    DEFAULT_TIMEOUT,
)


def check_and_install_dependencies():
    """Check and install required dependencies"""
    required_packages = [
        "gunicorn",
        "tiktoken",
        "psutil",
        # Add other required packages here
    ]

    for package in required_packages:
        if not pm.is_installed(package):
            print(f"Installing {package}...")
            pm.install(package)
            print(f"{package} installed successfully")


def main():
    # Explicitly initialize configuration for Gunicorn mode
    from lightrag.api.config import initialize_config

    initialize_config()

    # Set Gunicorn mode flag for lifespan cleanup detection
    os.environ["LIGHTRAG_GUNICORN_MODE"] = "1"

    # Check .env file
    if not check_env_file():
        sys.exit(1)

    # Check DOCLING compatibility with Gunicorn multi-worker mode on macOS
    if (
        platform.system() == "Darwin"
        and global_args.document_loading_engine == "DOCLING"
        and global_args.workers > 1
    ):
        print("\n" + "=" * 80)
        print("❌ ERROR: Incompatible configuration detected!")
        print("=" * 80)
        print(
            "\nDOCLING engine with Gunicorn multi-worker mode is not supported on macOS"
        )
        print("\nReason:")
        print("  PyTorch (required by DOCLING) has known compatibility issues with")
        print("  fork-based multiprocessing on macOS, which can cause crashes or")
        print("  unexpected behavior when using Gunicorn with multiple workers.")
        print("\nCurrent configuration:")
        print("  - Operating System: macOS (Darwin)")
        print(f"  - Document Engine: {global_args.document_loading_engine}")
        print(f"  - Workers: {global_args.workers}")
        print("\nPossible solutions:")
        print("  1. Use single worker mode:")
        print("     --workers 1")
        print("\n  2. Change document loading engine in .env:")
        print("     DOCUMENT_LOADING_ENGINE=DEFAULT")
        print("\n  3. Deploy on Linux where multi-worker mode is fully supported")
        print("=" * 80 + "\n")
        sys.exit(1)

    # Check macOS fork safety environment variable for multi-worker mode
    if (
        platform.system() == "Darwin"
        and global_args.workers > 1
        and os.environ.get("OBJC_DISABLE_INITIALIZE_FORK_SAFETY") != "YES"
    ):
        print("\n" + "=" * 80)
        print("❌ ERROR: Missing required environment variable on macOS!")
        print("=" * 80)
        print("\nmacOS with Gunicorn multi-worker mode requires:")
        print("  OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES")
        print("\nReason:")
        print("  NumPy uses macOS's Accelerate framework (Objective-C based) for")
        print("  vector computations. The Objective-C runtime has fork safety checks")
        print("  that will crash worker processes when embedding functions are called.")
        print("\nCurrent configuration:")
        print("  - Operating System: macOS (Darwin)")
        print(f"  - Workers: {global_args.workers}")
        print(
            f"  - Environment Variable: {os.environ.get('OBJC_DISABLE_INITIALIZE_FORK_SAFETY', 'NOT SET')}"
        )
        print("\nHow to fix:")
        print("  Option 1 - Set environment variable before starting (recommended):")
        print("     export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES")
        print("     lightrag-server")
        print("\n  Option 2 - Add to your shell profile (~/.zshrc or ~/.bash_profile):")
        print("     echo 'export OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES' >> ~/.zshrc")
        print("     source ~/.zshrc")
        print("\n  Option 3 - Use single worker mode (no multiprocessing):")
        print("     lightrag-server --workers 1")
        print("=" * 80 + "\n")
        sys.exit(1)

    # Check and install dependencies
    check_and_install_dependencies()

    # Note: Signal handlers are NOT registered here because:
    # - Master cleanup already handled by gunicorn_config.on_exit()

    # Display startup information
    display_splash_screen(global_args)

    print("🚀 Starting LightRAG with Gunicorn")
    print(f"🔄 Worker management: Gunicorn (workers={global_args.workers})")
    print("🔍 Preloading app: Enabled")
    print("📝 Note: Using Gunicorn's preload feature for shared data initialization")
    print("\n\n" + "=" * 80)
    print("MAIN PROCESS INITIALIZATION")
    print(f"Process ID: {os.getpid()}")
    print(f"Workers setting: {global_args.workers}")
    print("=" * 80 + "\n")

    # Import Gunicorn's StandaloneApplication
    from gunicorn.app.base import BaseApplication

    # Define a custom application class that loads our config
    class GunicornApp(BaseApplication):
        def __init__(self, app, options=None):
            self.options = options or {}
            self.application = app
            super().__init__()

        def load_config(self):
            # Define valid Gunicorn configuration options
            valid_options = {
                "bind",
                "workers",
                "worker_class",
                "timeout",
                "keepalive",
                "preload_app",
                "errorlog",
                "accesslog",
                "loglevel",
                "certfile",
                "keyfile",
                "limit_request_line",
                "limit_request_fields",
                "limit_request_field_size",
                "graceful_timeout",
                "max_requests",
                "max_requests_jitter",
            }

            # Special hooks that need to be set separately
            special_hooks = {
                "on_starting",
                "on_reload",
                "on_exit",
                "pre_fork",
                "post_fork",
                "pre_exec",
                "pre_request",
                "post_request",
                "worker_init",
                "worker_exit",
                "nworkers_changed",
                "child_exit",
            }

            # Import and configure the gunicorn_config module
            from lightrag.api import gunicorn_config

            # Set configuration variables in gunicorn_config, prioritizing command line arguments
            gunicorn_config.workers = (
                global_args.workers
                if global_args.workers
                else get_env_value("WORKERS", DEFAULT_WOKERS, int)
            )

            # Bind configuration prioritizes command line arguments
            host = (
                global_args.host
                if global_args.host != "0.0.0.0"
                else os.getenv("HOST", "0.0.0.0")
            )
            port = (
                global_args.port
                if global_args.port != 9621
                else get_env_value("PORT", 9621, int)
            )
            gunicorn_config.bind = f"{host}:{port}"

            # Log level configuration prioritizes command line arguments
            gunicorn_config.loglevel = (
                global_args.log_level.lower()
                if global_args.log_level
                else os.getenv("LOG_LEVEL", "info")
            )

            # Timeout configuration prioritizes command line arguments
            gunicorn_config.timeout = (
                global_args.timeout + 30
                if global_args.timeout is not None
                else get_env_value(
                    "TIMEOUT", DEFAULT_TIMEOUT + 30, int, special_none=True
                )
            )

            # Keepalive configuration
            gunicorn_config.keepalive = get_env_value("KEEPALIVE", 5, int)

            # SSL configuration prioritizes command line arguments
            if global_args.ssl or os.getenv("SSL", "").lower() in (
                "true",
                "1",
                "yes",
                "t",
                "on",
            ):
                gunicorn_config.certfile = (
                    global_args.ssl_certfile
                    if global_args.ssl_certfile
                    else os.getenv("SSL_CERTFILE")
                )
                gunicorn_config.keyfile = (
                    global_args.ssl_keyfile
                    if global_args.ssl_keyfile
                    else os.getenv("SSL_KEYFILE")
                )

            # Set configuration options from the module
            for key in dir(gunicorn_config):
                if key in valid_options:
                    value = getattr(gunicorn_config, key)
                    # Skip functions like on_starting and None values
                    if not callable(value) and value is not None:
                        self.cfg.set(key, value)
                # Set special hooks
                elif key in special_hooks:
                    value = getattr(gunicorn_config, key)
                    if callable(value):
                        self.cfg.set(key, value)

            if hasattr(gunicorn_config, "logconfig_dict"):
                self.cfg.set(
                    "logconfig_dict", getattr(gunicorn_config, "logconfig_dict")
                )

        def load(self):
            # Import the application
            from lightrag.api.lightrag_server import get_application

            return get_application(global_args)

    # Create the application
    app = GunicornApp("")

    # Force workers to be an integer and greater than 1 for multi-process mode
    workers_count = global_args.workers
    if workers_count > 1:
        # Set a flag to indicate we're in the main process
        os.environ["LIGHTRAG_MAIN_PROCESS"] = "1"
        initialize_share_data(workers_count)
    else:
        initialize_share_data(1)

    # Run the application
    print("\nStarting Gunicorn with direct Python API...")
    app.run()


if __name__ == "__main__":
    main()
