from __future__ import annotations
import argparse
import datetime
import json
import logging
import os
import sys
import signal
import time
from typing import List, Dict
import math
from tqdm import tqdm
from multiprocessing import Process, Manager
import lib_run_single
from desktop_env.desktop_env import DesktopEnv
from mm_agents.openai_cua_agent import OpenAICUAAgent

# Global variables for signal handling
active_environments = []
processes = []
is_terminating = False

# import wandb

# load the environment variables from .env file
if os.path.exists(".env"):
    from dotenv import load_dotenv
    load_dotenv()

#  Logger Configs {{{ #
def config() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description="Run end-to-end evaluation on the benchmark"
    )

    # environment config
    parser.add_argument("--path_to_vm", type=str, default=None)
    parser.add_argument(
        "--headless", action="store_true", help="Run in headless machine"
    )
    parser.add_argument(
        "--action_space", type=str, default="pyautogui", help="Action type"
    )
    parser.add_argument(
        "--observation_type",
        choices=["screenshot", "a11y_tree", "screenshot_a11y_tree", "som"],
        default="screenshot",
        help="Observation type",
    )
    parser.add_argument("--screen_width", type=int, default=1920)
    parser.add_argument("--screen_height", type=int, default=1080)
    parser.add_argument("--sleep_after_execution", type=float, default=0.0)
    parser.add_argument("--max_steps", type=int, default=15)

    # agent config
    parser.add_argument("--max_trajectory_length", type=int, default=3)
    parser.add_argument(
        "--test_config_base_dir", type=str, default="evaluation_examples"
    )

    # lm config
    parser.add_argument("--model", type=str, default="gpt-4o")
    parser.add_argument("--temperature", type=float, default=1.0)
    parser.add_argument("--top_p", type=float, default=0.9)
    parser.add_argument("--max_tokens", type=int, default=1500)
    parser.add_argument("--stop_token", type=str, default=None)

    # example config
    parser.add_argument("--domain", type=str, default="all")
    parser.add_argument(
        "--test_all_meta_path", type=str, default="evaluation_examples/test_all.json"
    )

    # logging related
    parser.add_argument("--result_dir", type=str, default="./results")
    parser.add_argument("--num_envs", type=int, default=1, help="Number of environments to run in parallel")  
    parser.add_argument("--log_level", type=str, choices=['DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL'], 
                       default='INFO', help="Set the logging level")
    # aws config
    parser.add_argument(
        "--region", type=str, default="us-east-1", help="AWS region for the VM"
    )
    args = parser.parse_args()
    return args

args = config()  # Get command line arguments first

logger = logging.getLogger()
log_level = getattr(logging, args.log_level.upper())
logger.setLevel(log_level)

datetime_str: str = datetime.datetime.now().strftime("%Y%m%d@%H%M%S")

file_handler = logging.FileHandler(
    os.path.join("logs", "normal-{:}.log".format(datetime_str)), encoding="utf-8"
)
debug_handler = logging.FileHandler(
    os.path.join("logs", "debug-{:}.log".format(datetime_str)), encoding="utf-8"
)
stdout_handler = logging.StreamHandler(sys.stdout)

file_handler.setLevel(logging.INFO)
debug_handler.setLevel(logging.DEBUG)
stdout_handler.setLevel(log_level)

formatter = logging.Formatter(
    fmt="\x1b[1;33m[%(asctime)s \x1b[31m%(levelname)s \x1b[32m%(module)s/%(lineno)d-%(processName)s\x1b[1;33m] \x1b[0m%(message)s"
)
file_handler.setFormatter(formatter)
debug_handler.setFormatter(formatter)
stdout_handler.setFormatter(formatter)

stdout_handler.addFilter(logging.Filter("desktopenv"))

logger.addHandler(file_handler)
logger.addHandler(debug_handler)
logger.addHandler(stdout_handler)
#  }}} Logger Configs #

logger = logging.getLogger("desktopenv.experiment")


def distribute_tasks(test_all_meta: dict, num_envs: int) -> List[Dict]:
    """Distribute tasks evenly across environments."""
    # Flatten the tasks into a single list
    all_tasks = []
    for domain, examples in test_all_meta.items():
        for example_id in examples:
            all_tasks.append((domain, example_id))
    
    # Calculate tasks per environment
    tasks_per_env = math.ceil(len(all_tasks) / num_envs)
    
    # Distribute tasks
    distributed_tasks = []
    for i in range(num_envs):
        env_tasks = {}
        start_idx = i * tasks_per_env
        end_idx = min((i + 1) * tasks_per_env, len(all_tasks))
        
        for domain, example_id in all_tasks[start_idx:end_idx]:
            if domain not in env_tasks:
                env_tasks[domain] = []
            env_tasks[domain].append(example_id)
        
        distributed_tasks.append(env_tasks)
    
    return distributed_tasks


def process_signal_handler(signum, frame, env_idx):
    """Signal handler for child processes to gracefully shut down their environments."""
    logger.info(f"Process {env_idx + 1} received signal {signum}. Shutting down...")
    
    # Get the active_environments from the caller's frame
    local_vars = frame.f_locals
    active_environments = local_vars.get('active_environments', [])
    
    # Close environment in the current process context
    for env in active_environments:
        if env is not None:
            try:
                logger.info(f"Process {env_idx + 1} closing environment...")
                env.close()
                logger.info(f"Process {env_idx + 1} environment closed successfully")
            except Exception as e:
                logger.error(f"Process {env_idx + 1} error closing environment: {e}")
    
    logger.info(f"Process {env_idx + 1} shutdown complete. Exiting.")
    sys.exit(0)


def run_env_tasks(env_idx: int, env_tasks: dict, args: argparse.Namespace, shared_scores: list):
    """Run tasks for a single environment."""
    # Each process has its own list of active environments
    active_environments = []
    env = None
    
    # Setup signal handlers for this process too
    signal.signal(signal.SIGINT, lambda signum, frame: process_signal_handler(signum, frame, env_idx))
    signal.signal(signal.SIGTERM, lambda signum, frame: process_signal_handler(signum, frame, env_idx))
    
    from desktop_env.providers.aws.manager import IMAGE_ID_MAP
    REGION = "us-east-1"
    env = DesktopEnv(
        path_to_vm=args.path_to_vm,
        action_space=args.action_space,

        provider_name="aws",
        region=REGION,
        snapshot_name=IMAGE_ID_MAP[REGION],

        screen_size=(args.screen_width, args.screen_height),
        headless=args.headless,
        os_type="Ubuntu",
        require_a11y_tree=args.observation_type in ["a11y_tree", "screenshot_a11y_tree", "som"],
    )
    active_environments.append(env)
    agent = OpenAICUAAgent(
        env=env,
        model=args.model,
        max_tokens=args.max_tokens,
        top_p=args.top_p,
        temperature=args.temperature,
        action_space=args.action_space,
        observation_type=args.observation_type,
        max_trajectory_length=args.max_trajectory_length,
    )
    logger.info(f"Executing tasks in environment {env_idx + 1}/{args.num_envs}")
    
    try:
        for domain in tqdm(env_tasks, desc=f"Env{env_idx+1}-Domain"):
             for example_id in tqdm(env_tasks[domain], desc="Example", leave=False):
                config_file = os.path.join(
                    args.test_config_base_dir, f"examples/{domain}/{example_id}.json"
                )
                with open(config_file, "r", encoding="utf-8") as f:
                    example = json.load(f)

                logger.info(f"[Env {env_idx+1}][Domain]: {domain}")
                logger.info(f"[Env {env_idx+1}][Example ID]: {example_id}")
                logger.info(f"[Env {env_idx+1}][Instruction]: {example['instruction']}")
                
                example_result_dir = os.path.join(
                    args.result_dir,
                    args.action_space,
                    args.observation_type,
                    args.model,
                    domain,
                    example_id,
                )
                os.makedirs(example_result_dir, exist_ok=True)

                try:
                    lib_run_single.run_single_example_openaicua(
                        agent,
                        env,
                        example,
                        args.max_steps,
                        example["instruction"],
                        args,
                        example_result_dir,
                        shared_scores,
                    )
                except Exception as e:
                    import traceback
                    logger.error(f"Exception in Env{env_idx+1} {domain}/{example_id}: {e}")
                    logger.error(traceback.format_exc())
                    try:
                        env.controller.end_recording(
                            os.path.join(example_result_dir, "recording.mp4")
                        )
                    except Exception as rec_e:
                        logger.error(f"Failed to end recording: {rec_e}")
                    
                    with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
                        f.write(
                            json.dumps(
                                {"Error": f"{domain}/{example_id} - {e}"}
                            )
                        )
                        f.write("\n")
    finally:
        # This ensures the environment is closed even if there's an exception
        logger.info(f"Process {env_idx + 1} cleaning up environment...")
        try:
            env.close()
            logger.info(f"Process {env_idx + 1} environment closed successfully")
        except Exception as e:
            logger.error(f"Process {env_idx + 1} error during environment cleanup: {e}")


def signal_handler(signum, frame):
    """Handle termination signals (SIGINT, SIGTERM) to gracefully shutdown environments."""
    global is_terminating, active_environments, processes
    
    # Avoid duplicate handling
    if is_terminating:
        return
    
    is_terminating = True
    logger.info(f"Received signal {signum}. Gracefully shutting down...")
    
    # Close all registered environments in the main process
    for env in active_environments:
        try:
            logger.info(f"Closing environment...")
            env.close()
            logger.info(f"Environment closed successfully")
        except Exception as e:
            logger.error(f"Error closing environment: {e}")
    
    # Send termination signal to all child processes first
    for p in processes:
        if p.is_alive():
            try:
                logger.info(f"Sending termination signal to process {p.name}...")
                p.terminate()
            except Exception as e:
                logger.error(f"Error sending termination signal to process: {e}")
    
    # Allow a short time for processes to handle their own cleanup
    time.sleep(1)
    
    # Forcefully terminate any processes that didn't exit
    for p in processes:
        if p.is_alive():
            try:
                logger.info(f"Forcefully terminating process {p.name}...")
                import signal
                os.kill(p.pid, signal.SIGKILL)
            except Exception as e:
                logger.error(f"Error forcefully terminating process: {e}")
    
    logger.info("Shutdown complete. Exiting.")
    sys.exit(0)


def test(args: argparse.Namespace, test_all_meta: dict) -> None:
    global processes
    logger.info("Args: %s", args)
    
    distributed_tasks = distribute_tasks(test_all_meta, args.num_envs)
    
    logger.info("All environments are ready. Starting parallel task execution...")
    
    #  Create a shared list for scores across processes
    with Manager() as manager:
        shared_scores = manager.list()
        
        # Create and start processes for each environment
        processes = []
        for env_idx, env_tasks in enumerate(distributed_tasks):
            p = Process(
                target=run_env_tasks,
                args=(env_idx, env_tasks, args, shared_scores)
            )
            processes.append(p)
            p.start()
            logger.info(f"Started process {p.name} with PID {p.pid}")
        
        try:
            # Wait for all processes to complete
            for p in processes:
                p.join()
                logger.info(f"Process {p.name} completed")
        except KeyboardInterrupt:
            logger.info("Main process received KeyboardInterrupt. Initiating graceful shutdown...")
            # Let the signal handler do the cleanup
            raise
        except Exception as e:
            logger.error(f"Unexpected error while waiting for processes: {e}", exc_info=True)
            # Ensure cleanup happens
            for p in processes:
                if p.is_alive():
                    try:
                        logger.info(f"Terminating process {p.name} due to error...")
                        p.terminate()
                    except Exception as term_e:
                        logger.error(f"Error terminating process {p.name}: {term_e}")
            raise
        
        # Convert shared list to regular list
        scores = list(shared_scores)
    
    logger.info(f"Average score: {sum(scores) / len(scores) if scores else 0}")


def get_unfinished(
    action_space, use_model, observation_type, result_dir, total_file_json
):
    target_dir = os.path.join(result_dir, action_space, observation_type, use_model)

    if not os.path.exists(target_dir):
        return total_file_json

    finished = {}
    for domain in os.listdir(target_dir):
        finished[domain] = []
        domain_path = os.path.join(target_dir, domain)
        if os.path.isdir(domain_path):
            for example_id in os.listdir(domain_path):
                if example_id == "onboard":
                    continue
                example_path = os.path.join(domain_path, example_id)
                if os.path.isdir(example_path):
                    if "result.txt" not in os.listdir(example_path):
                        # empty all files under example_id
                        for file in os.listdir(example_path):
                            os.remove(os.path.join(example_path, file))
                    else:
                        finished[domain].append(example_id)

    if not finished:
        return total_file_json

    for domain, examples in finished.items():
        if domain in total_file_json:
            total_file_json[domain] = [
                x for x in total_file_json[domain] if x not in examples
            ]

    return total_file_json


def get_result(action_space, use_model, observation_type, result_dir, total_file_json):
    target_dir = os.path.join(result_dir, action_space, observation_type, use_model)
    if not os.path.exists(target_dir):
        print("New experiment, no result yet.")
        return None

    all_result = []

    for domain in os.listdir(target_dir):
        domain_path = os.path.join(target_dir, domain)
        if os.path.isdir(domain_path):
            for example_id in os.listdir(domain_path):
                example_path = os.path.join(domain_path, example_id)
                if os.path.isdir(example_path):
                    if "result.txt" in os.listdir(example_path):
                        # empty all files under example_id
                        try:
                            all_result.append(
                                float(
                                    open(
                                        os.path.join(example_path, "result.txt"), "r"
                                    ).read()
                                )
                            )
                        except:
                            all_result.append(0.0)

    if not all_result:
        print("New experiment, no result yet.")
        return None
    else:
        print("Current Success Rate:", sum(all_result) / len(all_result) * 100, "%")
        return all_result


if __name__ == "__main__":
    ####### The complete version of the list of examples #######
    os.environ["TOKENIZERS_PARALLELISM"] = "false"
    
    # Register signal handlers for graceful termination
    signal.signal(signal.SIGINT, signal_handler)  # Handle Ctrl+C
    signal.signal(signal.SIGTERM, signal_handler)  # Handle termination signal
    
    try:
        args = config()

        with open(args.test_all_meta_path, "r", encoding="utf-8") as f:
            test_all_meta = json.load(f)

        if args.domain != "all":
            test_all_meta = {args.domain: test_all_meta[args.domain]}

        test_file_list = get_unfinished(
            args.action_space,
            args.model,
            args.observation_type,
            args.result_dir,
            test_all_meta,
        )
        left_info = ""
        for domain in test_file_list:
            left_info += f"{domain}: {len(test_file_list[domain])}\n"
        logger.info(f"Left tasks:\n{left_info}")

        get_result(
            args.action_space,
            args.model,
            args.observation_type,
            args.result_dir,
            test_all_meta,
        )
        test(args, test_file_list)
    except KeyboardInterrupt:
        logger.info("Main process received KeyboardInterrupt.")
        # Signal handler will take care of cleanup
    except Exception as e:
        logger.error(f"Unexpected error in main process: {e}", exc_info=True)
        # Also trigger cleanup for unhandled exceptions
        signal_handler(signal.SIGTERM, None)
    finally:
        # Final cleanup in case any environments or processes remain
        logger.info("Main process final cleanup...")
        for env in active_environments:
            if env is not None:
                try:
                    logger.info(f"Closing environment in final cleanup...")
                    env.close()
                    logger.info(f"Environment closed successfully in final cleanup")
                except Exception as e:
                    logger.error(f"Error during final environment cleanup: {e}")
        
        # First try gentle termination
        for p in processes:
            if p is not None and p.is_alive():
                try:
                    logger.info(f"Terminating process {p.name}...")
                    p.terminate()
                except Exception as e:
                    logger.error(f"Error terminating process: {e}")
        
        # Wait a moment for processes to terminate
        time.sleep(1)
        
        # Then force kill if needed
        for p in processes:
            if p is not None and p.is_alive():
                try:
                    logger.info(f"Force killing process {p.name}...")
                    os.kill(p.pid, signal.SIGKILL)
                    logger.info(f"Process {p.name} force killed")
                except Exception as e:
                    logger.error(f"Error force killing process: {e}")