"""The application entry point.  Can be invoked by a CLI or any other front end application."""
import logging
import sys

from colorama import Fore, Style

from autogpt.agent import Agent
from autogpt.config.config import Config, check_openai_api_key
from autogpt.configurator import create_config
from autogpt.logs import logger
from autogpt.memory.vector import get_memory
from autogpt.models.command_registry import CommandRegistry
from autogpt.plugins import scan_plugins
from autogpt.prompts.prompt import DEFAULT_TRIGGERING_PROMPT, construct_main_ai_config
from autogpt.utils import (
    get_current_git_branch,
    get_latest_bulletin,
    get_legal_warning,
    markdown_to_ansi_style,
)
from autogpt.workspace import Workspace
from scripts.install_plugin_deps import install_plugin_dependencies

COMMAND_CATEGORIES = [
    "autogpt.commands.execute_code",
    "autogpt.commands.file_operations",
    "autogpt.commands.web_search",
    "autogpt.commands.web_selenium",
    "autogpt.app",
    "autogpt.commands.task_statuses",
]


def run_auto_gpt(
    continuous: bool,
    continuous_limit: int,
    ai_settings: str,
    prompt_settings: str,
    skip_reprompt: bool,
    speak: bool,
    debug: bool,
    gpt3only: bool,
    gpt4only: bool,
    memory_type: str,
    browser_name: str,
    allow_downloads: bool,
    skip_news: bool,
    workspace_directory: str,
    install_plugin_deps: bool,
):
    # Configure logging before we do anything else.
    logger.set_level(logging.DEBUG if debug else logging.INFO)
    logger.speak_mode = speak

    config = Config.build_config_from_env()

    # TODO: fill in llm values here
    check_openai_api_key(config)

    create_config(
        config,
        continuous,
        continuous_limit,
        ai_settings,
        prompt_settings,
        skip_reprompt,
        speak,
        debug,
        gpt3only,
        gpt4only,
        memory_type,
        browser_name,
        allow_downloads,
        skip_news,
    )

    if config.continuous_mode:
        for line in get_legal_warning().split("\n"):
            logger.warn(markdown_to_ansi_style(line), "LEGAL:", Fore.RED)

    if not config.skip_news:
        motd, is_new_motd = get_latest_bulletin()
        if motd:
            motd = markdown_to_ansi_style(motd)
            for motd_line in motd.split("\n"):
                logger.info(motd_line, "NEWS:", Fore.GREEN)
            if is_new_motd and not config.chat_messages_enabled:
                input(
                    Fore.MAGENTA
                    + Style.BRIGHT
                    + "NEWS: Bulletin was updated! Press Enter to continue..."
                    + Style.RESET_ALL
                )

        git_branch = get_current_git_branch()
        if git_branch and git_branch != "stable":
            logger.typewriter_log(
                "WARNING: ",
                Fore.RED,
                f"You are running on `{git_branch}` branch "
                "- this is not a supported branch.",
            )
        if sys.version_info < (3, 10):
            logger.typewriter_log(
                "WARNING: ",
                Fore.RED,
                "You are running on an older version of Python. "
                "Some people have observed problems with certain "
                "parts of Auto-GPT with this version. "
                "Please consider upgrading to Python 3.10 or higher.",
            )

    if install_plugin_deps:
        install_plugin_dependencies()

    # TODO: have this directory live outside the repository (e.g. in a user's
    #   home directory) and have it come in as a command line argument or part of
    #   the env file.
    workspace_directory = Workspace.get_workspace_directory(config, workspace_directory)

    # HACK: doing this here to collect some globals that depend on the workspace.
    Workspace.build_file_logger_path(config, workspace_directory)

    config.plugins = scan_plugins(config, config.debug_mode)
    # Create a CommandRegistry instance and scan default folder
    command_registry = CommandRegistry()

    logger.debug(
        f"The following command categories are disabled: {config.disabled_command_categories}"
    )
    enabled_command_categories = [
        x for x in COMMAND_CATEGORIES if x not in config.disabled_command_categories
    ]

    logger.debug(
        f"The following command categories are enabled: {enabled_command_categories}"
    )

    for command_category in enabled_command_categories:
        command_registry.import_commands(command_category)

    ai_name = ""
    ai_config = construct_main_ai_config(config)
    ai_config.command_registry = command_registry
    if ai_config.ai_name:
        ai_name = ai_config.ai_name
    # print(prompt)
    # Initialize variables
    next_action_count = 0

    # add chat plugins capable of report to logger
    if config.chat_messages_enabled:
        for plugin in config.plugins:
            if hasattr(plugin, "can_handle_report") and plugin.can_handle_report():
                logger.info(f"Loaded plugin into logger: {plugin.__class__.__name__}")
                logger.chat_plugins.append(plugin)

    # Initialize memory and make sure it is empty.
    # this is particularly important for indexing and referencing pinecone memory
    memory = get_memory(config)
    memory.clear()
    logger.typewriter_log(
        "Using memory of type:", Fore.GREEN, f"{memory.__class__.__name__}"
    )
    logger.typewriter_log("Using Browser:", Fore.GREEN, config.selenium_web_browser)
    system_prompt = ai_config.construct_full_prompt(config)
    if config.debug_mode:
        logger.typewriter_log("Prompt:", Fore.GREEN, system_prompt)

    agent = Agent(
        ai_name=ai_name,
        memory=memory,
        next_action_count=next_action_count,
        command_registry=command_registry,
        system_prompt=system_prompt,
        triggering_prompt=DEFAULT_TRIGGERING_PROMPT,
        workspace_directory=workspace_directory,
        ai_config=ai_config,
        config=config,
    )
    agent.start_interaction_loop()