"""Script to run end-to-end evaluation on the benchmark.
Utils and basic architecture credit to https://github.com/web-arena-x/webarena/blob/main/run.py.
"""

import argparse
import datetime
import json
import logging
import os
import sys
import math
import ast
import time

import backoff
import httpx
from openai import APIConnectionError, APIError, OpenAI, RateLimitError
from requests.exceptions import SSLError
from tqdm import tqdm

import lib_run_single
from desktop_env.desktop_env import MAX_RETRIES, DesktopEnv as DesktopEnvBase
from mm_agents.autoglm import AutoGLMAgent
from typing import Optional, Dict, Any
from multiprocessing import Pool

#  Logger Configs {{{ #
logger = logging.getLogger()
logger.setLevel(logging.DEBUG)

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)
sdebug_handler = logging.FileHandler(os.path.join("logs", "sdebug-{:}.log".format(datetime_str)), encoding="utf-8")

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

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)
sdebug_handler.setFormatter(formatter)

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

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

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


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)
    parser.add_argument(
        "--provider_name",
        type=str,
        default="docker",
        help="Virtualization provider (vmware, docker, aws, azure, gcp, virtualbox)",
    )
    parser.add_argument("--headless", action="store_true", default=True, help="Run in headless machine")
    parser.add_argument("--action_space", type=str, default="autoglm_computer_use", help="Action type")
    parser.add_argument(
        "--observation_type",
        choices=["screenshot", "a11y_tree", "screenshot_a11y_tree", "som"],
        default="a11y_tree",
        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=1.0)
    parser.add_argument("--max_steps", type=int, default=50)

    # 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="autoglm-os")
    parser.add_argument("--temperature", type=float, default=0.4)
    parser.add_argument("--top_p", type=float, default=0.5)
    parser.add_argument("--max_tokens", type=int, default=4096)
    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_nogdrive.json")

    # aws config
    parser.add_argument(
        "--region", type=str, default="us-east-1", help="AWS region for the VM"
    )
    parser.add_argument("--client_password", type=str, default="", help="Client password")

    # logging related
    parser.add_argument("--result_dir", type=str, default="./results")
    
    # parallel number
    parser.add_argument("--num_workers", type=int, default=20, help="Number of parallel workers")
    args = parser.parse_args()

    return args


class DesktopEnv(DesktopEnvBase):
    def step(self, action, pause=2):
        self._step_no += 1
        self.action_history.append(action)
        
        # Mark environment as used when step is called
        self.is_environment_used = True

        reward = 0  # todo: Define reward calculation for each example
        done = False  # todo: Define episode termination condition for each example
        info = {}
        logger.info(f"Step {self._step_no} in trajectory {self._traj_no} with action: {action}")

        # handle the special actions
        if action in ['WAIT', 'FAIL', 'DONE']:
            if action == 'WAIT':
                time.sleep(pause)
                exe_result = 'Wait ' + str(pause) + ' seconds'
            elif action == 'FAIL':
                done = True
                info = {"fail": True}
                exe_result = 'Finish: fail'
            elif action == 'DONE':
                done = True
                info = {"done": True}
                exe_result = 'Finish: success'
        elif type(action) == dict:
            if action['action_type'] == 'OPEN_APP':
                self.setup_controller._launch_setup(action['parameters']['launch_app_command'], shell=True)
                exe_result = 'Open ' + action['parameters']['app_name']
            elif action['action_type'] == 'OPEN_CHROME_TAB':
                self.setup_controller._chrome_open_tabs_setup(action['parameters']['urls_to_open'])
                exe_result = 'Open ' + str(action['parameters']['urls_to_open']) + ' in Chrome successfully'
        else:
            # the set of all possible python commands insides `pyautogui`
            result = self.controller.execute_python_command(action)
            try:
                if result['error']:
                    exe_result = result['error'].strip()
                else:
                    exe_result = result['output'].strip()
            except Exception as e:
                exe_result = 'Error Action: ' + action
                logger.error(f"Error executing action: {e}")

        time.sleep(pause)
        observation = self._get_obs()
        observation['exe_result'] = exe_result
        
        return observation, reward, done, info

    def reset(self, task_config: Optional[Dict[str, Any]] = None, seed=None, options=None) -> Dict[str, Any]:
        # Reset to certain task in OSWorld
        logger.info("Resetting environment...")
        logger.info("Switching task...")
        logger.info("Setting counters...")
        self._traj_no += 1
        self._step_no = 0
        self.action_history.clear()

        for attempt in range(MAX_RETRIES):
            # Only revert to snapshot if environment has been used (step/setup)
            # This optimization is especially important for cloud providers like AWS
            # where unnecessary snapshot operations are costly and time-consuming
            
            if task_config is not None:
                # Only consider task proxy requirement if proxy is enabled at system level
                task_use_proxy = task_config.get("proxy", False) and self.enable_proxy
                if not self.enable_proxy and task_config.get("proxy", False):
                    logger.info("Task requires proxy but proxy is disabled at system level, ignoring proxy requirement.")
                
                if task_use_proxy != self.current_use_proxy:
                    # keep because get_info_from_website depend on this
                    self.current_use_proxy = task_use_proxy
            
            if self.is_environment_used:
                logger.info("Environment has been used, reverting to snapshot {}...".format(self.snapshot_name))
                self._revert_to_snapshot()
                logger.info("Starting emulator...")
                self._start_emulator()
                logger.info("Emulator started.")
                # Reset the usage flag after reverting
                self.is_environment_used = False
            else:
                logger.info("Environment is clean, skipping snapshot revert (provider: {}).".format(self.provider_name))

            if task_config is not None:
                if task_config.get("proxy", False) and self.enable_proxy:
                    # If using proxy and proxy is enabled, set up the proxy configuration
                    self.setup_controller._proxy_setup(self.client_password)
                self._set_task_info(task_config)
                self.setup_controller.reset_cache_dir(self.cache_dir)
                logger.info("Setting up environment...")
                success = self.setup_controller.setup(self.config, task_config.get("proxy", False) and self.enable_proxy)
                if success:
                    # Mark environment as used when setup is successfully executed
                    if self.config:  # Only mark as used if there were actual setup operations
                        self.is_environment_used = True
                    break
                else:
                    logger.error(
                        "Environment setup failed, retrying (%d/%d)...",
                        attempt + 1,
                        MAX_RETRIES,
                    )
                    time.sleep(5)
            else:
                break
            
        logger.info("Environment setup complete.")

        # Upload tools from autoglm package
        import mm_agents.autoglm
        tool_dir = os.path.join(os.path.dirname(mm_agents.autoglm.__file__), 'tools', 'package')
        for file in os.listdir(tool_dir):
            if os.path.isdir(os.path.join(tool_dir, file)):
                continue
            self.setup_controller._upload_file_setup([{
                "local_path": os.path.join(tool_dir, file),
                "path": os.path.join('~', file)
            }])

        # start soffice service for office tools
        self.setup_controller._launch_setup('soffice --accept="socket,host=localhost,port=2002;urp;" --norestore --nologo --nodefault', shell=True)
        time.sleep(5)

        observation = self._get_obs()
        return observation

    def get_current_apps(self):
        apps_code = r"""import subprocess;
command = "wmctrl -xl";
apps = subprocess.run(command, shell=True, capture_output=True, text=True).stdout.strip().split('\n');
print(apps);"""
        window_code = r"""import subprocess;
command = "wmctrl -a :ACTIVE: -v 2>&1 | grep 'Using window' | awk '{print $3}'";
window_id = subprocess.run(command, shell=True, capture_output=True, text=True).stdout.strip();
print(window_id);"""

        apps = self.controller.execute_python_command(apps_code)['output'].strip()
        apps = ast.literal_eval(apps)
        app_list = {}
        
        for app in apps:
            parts = app.split(maxsplit=4)
            if len(parts) < 4:
                continue
            if parts[1] != '0':
                continue
            window_id = parts[0]
            app_name = '.'.join(parts[2].split('.')[-(math.ceil(parts[2].count('.') / 2)):])
            title = parts[3]
            app_list[window_id] = {
                'app_name': app_name,
                'title': title
            }
        
        cur_id = self.controller.execute_python_command(window_code)['output'].strip()

        return app_list, cur_id

    def maximize_window(self):
        window_state = r"""import subprocess;
command = "xprop -id $(xprop -root _NET_ACTIVE_WINDOW | awk -F' ' '{print $5}') _NET_WM_STATE"
output = subprocess.run(command, shell=True, capture_output=True, text=True).stdout.strip();
print(output);"""
        for _ in range(5):
            try:
                self.setup_controller._launch_setup('wmctrl -r :ACTIVE: -b add,maximized_vert,maximized_horz', shell=True)
                time.sleep(2)
                output = self.controller.execute_python_command(window_state)['output'].strip()
                if '_NET_WM_STATE_FOCUSED' not in output or '_NET_WM_STATE_SKIP_TASKBAR' in output or '_NET_WM_STATE_MODAL' in output or '_NET_WM_STATE_MAXIMIZED' in output: # 没有窗口 or popups or 模态窗口 or 窗口已经最大化
                    return
            except Exception as e:
                logger.error(f"Failed to maximize window: {e}")
                time.sleep(1)

    def _get_obs(self):
        tool_list = {
            "libreoffice_calc": "CalcTools",
            "libreoffice_impress": "ImpressTools",
            "libreoffice_writer": "WriterTools",
            "code": "CodeTools",
            "vlc": "VLCTools",
            "google_chrome": "BrowserTools"
        }
        
        self.maximize_window()
        
        for i in range(3):
            try:
                app_list, cur_id = self.get_current_apps()
            except Exception as e:
                if i == 2:
                    raise e
                logger.error(f"Failed to get current apps: {e}")
                time.sleep(1)
        
        if cur_id in app_list:
            cur_app = app_list[cur_id]['app_name']

            tool_name = cur_app.strip().lower().replace('-', '_')
            if tool_name in tool_list:
                class_name = tool_list[tool_name]
                command = f"from {tool_name} import *; "
                command += f"{class_name}.env_info(); "
                command += f"{class_name}.print_result();"
                app_info = self.controller.execute_python_command(command)['output'].strip()
            else:
                app_info = None
        else:
            cur_app = None
            app_info = None
        
        tree = self.controller.get_accessibility_tree()
        screenshot = self.controller.get_screenshot()
        if screenshot is None:
            logger.error("Failed to get screenshot.")
            screenshot = b''

        return {
            "screenshot": screenshot,
            "accessibility_tree": tree,
            "instruction": self.instruction,
            "apps": app_list,
            "cur_window_id": cur_id,
            "cur_app": cur_app,
            "app_info": app_info,
        }

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

def _worker_run(task):
    import json, os, datetime, logging, httpx, backoff
    from openai import OpenAI, RateLimitError, APIConnectionError
    from types import SimpleNamespace
    domain, example_id, args = task  # args 为 argparse.Namespace
    logger = logging.getLogger("desktopenv.experiment")
    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)
        instruction = example["instruction"]

        @backoff.on_exception(backoff.constant, (RateLimitError, APIConnectionError), interval=0.1)
        def call_llm(messages):
            logger.info("Calling LLM...")
            # set api_key and base_url by environment variables
            engine = OpenAI(timeout=60.0)
            response = engine.chat.completions.create(
                model=args.model,
                messages=messages,
                max_tokens=args.max_tokens,
                temperature=args.temperature,
                top_p=args.top_p,
            )
            logger.info("LLM called successfully.")
            return response.choices[0].message.content

        env = DesktopEnv(
            provider_name=args.provider_name,
            region=args.region,
            client_password=args.client_password,
            path_to_vm=args.path_to_vm,
            action_space=args.action_space,
            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"],
        )
        agent = AutoGLMAgent(
            action_space=args.action_space,
            observation_type=args.observation_type,
            max_trajectory_length=args.max_trajectory_length,
            client_password=args.client_password,
            gen_func=call_llm,
        )

        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)

        local_scores = []
        try:
            lib_run_single.run_single_example_autoglm(
                agent,
                env,
                example,
                args.max_steps,
                instruction,
                args,
                example_result_dir,
                local_scores,
            )
        except Exception as e:
            logger.error(f"[并发任务异常] {domain}/{example_id}: {e}")
            if hasattr(env, "controller") and env.controller is not None:
                try:
                    env.controller.end_recording(os.path.join(example_result_dir, "recording.mp4"))
                except Exception:
                    pass
            with open(os.path.join(example_result_dir, "traj.jsonl"), "a") as f:
                f.write(json.dumps({"Error": f"Exception in {domain}/{example_id}: {str(e)}"}) + "\n")
        finally:
            try:
                env.close()
            except Exception:
                pass

        score = None
        result_path = os.path.join(example_result_dir, "result.txt")
        if os.path.exists(result_path):
            try:
                with open(result_path, "r") as rf:
                    score = float(rf.read().strip())
            except Exception:
                score = 0.0
        else:
            score = 0.0
        logger.info(f"[Finish] {domain}/{example_id} score={score}")
        return (domain, example_id, score)
    except Exception as e:
        logger = logging.getLogger("desktopenv.experiment")
        logger.error(f"[Initializing Fail] {domain}/{example_id}: {e}")
        return (domain, example_id, 0.0)

def test_parallel(args: argparse.Namespace, test_all_meta: dict):
    from tqdm import tqdm
    tasks = []
    for domain in test_all_meta:
        for example_id in test_all_meta[domain]:
            tasks.append((domain, example_id, args))
    if not tasks:
        logger.info("No pending tasks")
        return
    logger.info(f"Starting parallel execution: {args.num_workers} processes, {len(tasks)} tasks total")

    results = []
    with Pool(processes=args.num_workers) as pool:
        for res in tqdm(pool.imap_unordered(_worker_run, tasks), total=len(tasks), desc="Parallel execution"):
            results.append(res)

    scores = [s for (_, _, s) in results if s is not None]
    if scores:
        avg = sum(scores) / len(scores)
        logger.info(f"Parallel execution completed. Average score: {avg}")
    else:
        logger.info("No scores obtained.")

if __name__ == "__main__":
    ####### The complete version of the list of examples #######
    os.environ["TOKENIZERS_PARALLELISM"] = "false"
    args = config()
    if args.client_password == "":
        if args.provider_name == "aws":
            args.client_password = "osworld-public-evaluation"
        else:
            args.client_password = "password"
    else:
        args.client_password = args.client_password

    # save args to json in result_dir/action_space/observation_type/model/args.json
    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_parallel(args, test_file_list)
