"""
    Script to run EvoCUA native agent model on OSWorld tasks.

    export AWS_ACCESS_KEY_ID="xx"
    export AWS_SECRET_ACCESS_KEY="xx"
    export AWS_REGION="xx"
    export AWS_SECURITY_GROUP_ID="xx"
    export AWS_SUBNET_ID="xx"
    export OPENAI_API_KEY="xxxx"
    export OPENAI_BASE_URL="xxxx"

    Example Usage (S2):
        python3 run_multienv_evocua.py \
            --headless \
            --provider_name aws \
            --observation_type screenshot \
            --model EvoCUA-S2 \
            --result_dir ./evocua_s2 \
            --test_all_meta_path evaluation_examples/test_nogdrive.json \
            --max_steps 50 \
            --num_envs 30 \
            --temperature 0.01 \
            --max_history_turns 4 \
            --coordinate_type relative \
            --resize_factor 32 \
            --prompt_style S2

    
    Example Usage (S1):
        python3 run_multienv_evocua.py \
            --headless \
            --provider_name aws \
            --observation_type screenshot \
            --model EvoCUA-S1 \
            --result_dir ./evocua_s1 \
            --test_all_meta_path evaluation_examples/test_nogdrive.json \
            --max_steps 50 \
            --num_envs 30 \
            --max_history_turns 3 \
            --coordinate_type qwen25 \
            --max_tokens 10240 \
            --resize_factor 28 \
            --prompt_style S1
"""

from __future__ import annotations
import argparse
import datetime
import json
import logging
import os
import sys
import signal
import time
from typing import List
from multiprocessing import Process, Manager, Queue
from multiprocessing import current_process
import lib_run_single
from desktop_env.desktop_env import DesktopEnv
from mm_agents.evocua.evocua_agent import EvoCUAAgent

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


# Thread-local storage for task context (works per-process in multiprocessing)
import threading
_task_context = threading.local()

def get_task_context():
    """Get current task context from thread-local storage."""
    return getattr(_task_context, 'context', {'domain': None, 'example_id': None})

def set_task_context(domain: str, example_id: str):
    """Set current task context in thread-local storage."""
    _task_context.context = {'domain': domain, 'example_id': example_id}

def clear_task_context():
    """Clear current task context."""
    if hasattr(_task_context, 'context'):
        delattr(_task_context, 'context')

class TaskContextFilter(logging.Filter):
    """Filter to add domain and example_id to log records."""
    def filter(self, record):
        ctx = get_task_context()
        domain = ctx.get('domain')
        example_id = ctx.get('example_id')
        if domain and example_id:
            record.domain = domain
            record.example_id = example_id
            # Add prefix to message
            if hasattr(record, 'msg') and isinstance(record.msg, str):
                if not record.msg.startswith(f"[{domain}/{example_id}]"):
                    record.msg = f"[{domain}/{example_id}] {record.msg}"
        else:
            record.domain = domain or "N/A"
            record.example_id = example_id or "N/A"
        return True

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

def config() -> argparse.Namespace:
    parser = argparse.ArgumentParser(
        description="Run end-to-end evaluation with EvoCUAAgent"
    )

    # 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("--sleep_after_execution", type=float, default=5.0)
    parser.add_argument("--max_steps", type=int, default=50)
    
    # evaluation config
    parser.add_argument(
        "--test_config_base_dir", type=str, default="evaluation_examples"
    )

    # lm config
    parser.add_argument("--model", type=str, default="evocua", help="Model name.")
    parser.add_argument("--temperature", type=float, default=0.0)
    parser.add_argument("--top_p", type=float, default=0.9)
    parser.add_argument("--max_tokens", type=int, default=32768)
    parser.add_argument("--stop_token", type=str, default=None)

    parser.add_argument("--prompt_style", type=str, default="S2", choices=["S1", "S2"], help="Prompt style: 'S1' (structured reasoning) or 'S2' (tool calling)")
    parser.add_argument("--history_type", type=str, default="action_history", help="[S1] History type")
    parser.add_argument("--coordinate_type", type=str, default="relative", help="Coordinate type: relative, absolute, qwen25")
    parser.add_argument("--password", type=str, default="osworld-public-evaluation", help="VM Password")
    
    # Unified History Parameter
    parser.add_argument("--max_history_turns", type=int, default=3, help="Number of history turns to include")
    parser.add_argument("--resize_factor", type=int, default=32, help="Image resize factor (S1: 28, S2: 32)")
    
    # example config
    parser.add_argument("--domain", type=str, default="all")
    parser.add_argument(
        "--test_all_meta_path", type=str, default="evaluation_examples/test_nogdrive.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"
    )
    parser.add_argument(
        "--provider_name", type=str, default="aws", choices=["aws", "virtualbox", "vmware", "docker", "azure"], help="Provider name"
    )
    parser.add_argument(
        "--client_password", type=str, default="", help="Client password"
    )
    parser.add_argument(
        "--screen_width", type=int, default=1920, help="Screen width"
    )
    parser.add_argument(
        "--screen_height", type=int, default=1080, help="Screen height"
    )
    
    args = parser.parse_args()
    return args

args = config()

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)

# Add task context filter to all handlers
task_filter = TaskContextFilter()
file_handler.addFilter(task_filter)
debug_handler.addFilter(task_filter)
stdout_handler.addFilter(task_filter)

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

logger.addHandler(file_handler)
logger.addHandler(debug_handler)
logger.addHandler(stdout_handler)

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


def distribute_tasks(test_all_meta: dict) -> List[tuple]:
    all_tasks = []
    for domain, examples in test_all_meta.items():
        for example_id in examples:
            all_tasks.append((domain, example_id))
    return all_tasks


def run_env_tasks(task_queue: Queue, args: argparse.Namespace, shared_scores: list):
    active_environments = []
    env = None
    try:
        REGION = args.region
        screen_size = (args.screen_width, args.screen_height)
        
        # Determine snapshot based on provider
        snapshot_name = "init_state"
        if args.provider_name == "aws":
            from desktop_env.providers.aws.manager import IMAGE_ID_MAP
            ami_id = IMAGE_ID_MAP[REGION].get(screen_size, IMAGE_ID_MAP[REGION].get((1920, 1080)))
            snapshot_name = ami_id

        env = DesktopEnv(
            path_to_vm=args.path_to_vm,
            action_space=args.action_space,
            provider_name=args.provider_name,
            region=REGION,
            snapshot_name=snapshot_name,
            screen_size=screen_size,
            headless=args.headless,
            os_type="Ubuntu",
            require_a11y_tree=args.observation_type in ["a11y_tree", "screenshot_a11y_tree", "som"],
            enable_proxy=True,
            client_password=args.client_password
        )

        active_environments.append(env)
        
        logger.info(f"Process {current_process().name} started.")
        while True:
            try:
                item = task_queue.get(timeout=5)
            except Exception:
                break
            domain, example_id = item
            set_task_context(domain, example_id)
            try:
                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"[{current_process().name}][Domain]: {domain}")
                logger.info(f"[{current_process().name}][Example ID]: {example_id}")
                logger.info(f"[{current_process().name}][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)
                
                # Initialize EvoCUAAgent
                agent = EvoCUAAgent(
                    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_steps=args.max_steps,
                    prompt_style=args.prompt_style,
                    max_history_turns=args.max_history_turns,
                    screen_size=(args.screen_width, args.screen_height),
                    coordinate_type=args.coordinate_type,
                    password=args.password,
                    resize_factor=args.resize_factor,
                )
                
                try:
                    lib_run_single.run_single_example_evocua(
                        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 {current_process().name} {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")
            except Exception as e:
                logger.error(f"Task-level error in {current_process().name}: {e}")
                import traceback
                logger.error(traceback.format_exc())
            finally:
                clear_task_context()
    except Exception as e:
        logger.error(f"Process-level error in {current_process().name}: {e}")
        import traceback
        logger.error(traceback.format_exc())
    finally:
        logger.info(f"{current_process().name} cleaning up environment...")
        try:
            if env:
                env.close()
                logger.info(f"{current_process().name} environment closed successfully")
        except Exception as e:
            logger.error(f"{current_process().name} 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
    
    if is_terminating:
        return
    
    is_terminating = True
    logger.info(f"Received signal {signum}. Gracefully shutting down...")
    
    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}")
    
    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}")
    
    time.sleep(1)
    
    for p in processes:
        if p.is_alive():
            try:
                logger.info(f"Forcefully terminating process {p.name}...")
                import signal as sig
                os.kill(p.pid, sig.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)
    all_tasks = distribute_tasks(test_all_meta)
    logger.info(f"Total tasks: {len(all_tasks)}")
    with Manager() as manager:
        shared_scores = manager.list()
        task_queue = manager.Queue()
        for item in all_tasks:
            task_queue.put(item)
        num_envs = args.num_envs
        processes = []
        for i in range(num_envs):
            p = Process(
                target=run_env_tasks,
                args=(task_queue, args, shared_scores),
                name=f"EnvProcess-{i+1}"
            )
            p.daemon = True
            p.start()
            processes.append(p)
            logger.info(f"Started process {p.name} with PID {p.pid}")
        try:
            while True:
                alive_count = 0
                for idx, p in enumerate(processes):
                    if not p.is_alive():
                        logger.warning(f"Process {p.name} died, restarting...")
                        new_p = Process(
                            target=run_env_tasks,
                            args=(task_queue, args, shared_scores),
                            name=f"EnvProcess-Restart-{idx+1}"
                        )
                        new_p.daemon = True
                        new_p.start()
                        processes[idx] = new_p
                        logger.info(f"Restarted process {new_p.name} with PID {new_p.pid}")
                    else:
                        alive_count += 1
                if task_queue.empty():
                    logger.info("All tasks finished.")
                    break
                if alive_count == 0:
                    logger.error("All processes died, exiting.")
                    break
                time.sleep(5)
            for p in processes:
                p.join()
        except KeyboardInterrupt:
            logger.info("Main process received KeyboardInterrupt. Initiating graceful shutdown...")
            raise
        except Exception as e:
            logger.error(f"Unexpected error while waiting for processes: {e}", exc_info=True)
            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
        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):
                        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):
                        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__":
    os.environ["TOKENIZERS_PARALLELISM"] = "false"
    
    # Register signal handlers
    signal.signal(signal.SIGINT, signal_handler)
    signal.signal(signal.SIGTERM, signal_handler)
    
    try:
        args = config()
        
        path_to_args = os.path.join(
            args.result_dir,
            args.action_space,
            args.observation_type,
            args.model,
            "args.json",
        )
        os.makedirs(os.path.dirname(path_to_args), exist_ok=True)
        with open(path_to_args, "w", encoding="utf-8") as f:
            json.dump(vars(args), f, indent=4)

        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.")
    except Exception as e:
        logger.error(f"Unexpected error in main process: {e}", exc_info=True)
        signal_handler(signal.SIGTERM, None)
    finally:
        logger.info("Main process final cleanup...")
        for env in active_environments:
            if env is not None:
                try:
                    logger.info("Closing environment in final cleanup...")
                    env.close()
                except Exception as e:
                    logger.error(f"Error during final environment cleanup: {e}")
        
        for p in processes:
            if p is not None and p.is_alive():
                try:
                    p.terminate()
                except Exception as e:
                    logger.error(f"Error terminating process: {e}")
        
        time.sleep(1)
        for p in processes:
            if p is not None and p.is_alive():
                try:
                    os.kill(p.pid, signal.SIGKILL)
                except Exception as e:
                    logger.error(f"Error force killing process: {e}")
