"""Execute code in a Docker container"""
import os
import subprocess
from pathlib import Path

import docker
from docker.errors import ImageNotFound

from autogpt.agent.agent import Agent
from autogpt.commands.command import command
from autogpt.config import Config
from autogpt.logs import logger
from autogpt.setup import CFG
from autogpt.workspace.workspace import Workspace

ALLOWLIST_CONTROL = "allowlist"
DENYLIST_CONTROL = "denylist"


@command(
    "execute_python_code",
    "Create a Python file and execute it",
    '"code": "<code>", "basename": "<basename>"',
)
def execute_python_code(code: str, basename: str, agent: Agent) -> str:
    """Create and execute a Python file in a Docker container and return the STDOUT of the
    executed code. If there is any data that needs to be captured use a print statement

    Args:
        code (str): The Python code to run
        basename (str): A name to be given to the Python file

    Returns:
        str: The STDOUT captured from the code when it ran
    """
    ai_name = agent.ai_name
    directory = os.path.join(agent.config.workspace_path, ai_name, "executed_code")
    os.makedirs(directory, exist_ok=True)

    if not basename.endswith(".py"):
        basename = basename + ".py"

    path = os.path.join(directory, basename)

    try:
        with open(path, "w+", encoding="utf-8") as f:
            f.write(code)

        return execute_python_file(f.name, agent)
    except Exception as e:
        return f"Error: {str(e)}"


@command("execute_python_file", "Execute Python File", '"filename": "<filename>"')
def execute_python_file(filename: str, agent: Agent) -> str:
    """Execute a Python file in a Docker container and return the output

    Args:
        filename (str): The name of the file to execute

    Returns:
        str: The output of the file
    """
    logger.info(
        f"Executing python file '{filename}' in working directory '{CFG.workspace_path}'"
    )

    if not filename.endswith(".py"):
        return "Error: Invalid file type. Only .py files are allowed."

    workspace = Workspace(
        agent.config.workspace_path, agent.config.restrict_to_workspace
    )

    path = workspace.get_path(filename)
    if not path.is_file():
        # Mimic the response that you get from the command line so that it's easier to identify
        return (
            f"python: can't open file '{filename}': [Errno 2] No such file or directory"
        )

    if we_are_running_in_a_docker_container():
        result = subprocess.run(
            ["python", str(path)],
            capture_output=True,
            encoding="utf8",
            cwd=CFG.workspace_path,
        )
        if result.returncode == 0:
            return result.stdout
        else:
            return f"Error: {result.stderr}"

    try:
        client = docker.from_env()
        # You can replace this with the desired Python image/version
        # You can find available Python images on Docker Hub:
        # https://hub.docker.com/_/python
        image_name = "python:3-alpine"
        try:
            client.images.get(image_name)
            logger.warn(f"Image '{image_name}' found locally")
        except ImageNotFound:
            logger.info(
                f"Image '{image_name}' not found locally, pulling from Docker Hub"
            )
            # Use the low-level API to stream the pull response
            low_level_client = docker.APIClient()
            for line in low_level_client.pull(image_name, stream=True, decode=True):
                # Print the status and progress, if available
                status = line.get("status")
                progress = line.get("progress")
                if status and progress:
                    logger.info(f"{status}: {progress}")
                elif status:
                    logger.info(status)
        container = client.containers.run(
            image_name,
            ["python", str(path.relative_to(workspace.root))],
            volumes={
                agent.config.workspace_path: {
                    "bind": "/workspace",
                    "mode": "ro",
                }
            },
            working_dir="/workspace",
            stderr=True,
            stdout=True,
            detach=True,
        )

        container.wait()
        logs = container.logs().decode("utf-8")
        container.remove()

        # print(f"Execution complete. Output: {output}")
        # print(f"Logs: {logs}")

        return logs

    except docker.errors.DockerException as e:
        logger.warn(
            "Could not run the script in a container. If you haven't already, please install Docker https://docs.docker.com/get-docker/"
        )
        return f"Error: {str(e)}"

    except Exception as e:
        return f"Error: {str(e)}"


def validate_command(command: str, config: Config) -> bool:
    """Validate a command to ensure it is allowed

    Args:
        command (str): The command to validate

    Returns:
        bool: True if the command is allowed, False otherwise
    """
    if not command:
        return False

    command_name = command.split()[0]

    if config.shell_command_control == ALLOWLIST_CONTROL:
        return command_name in config.shell_allowlist
    else:
        return command_name not in config.shell_denylist


@command(
    "execute_shell",
    "Execute Shell Command, non-interactive commands only",
    '"command_line": "<command_line>"',
    lambda cfg: cfg.execute_local_commands,
    "You are not allowed to run local shell commands. To execute"
    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
    "in your config file: .env - do not attempt to bypass the restriction.",
)
def execute_shell(command_line: str, agent: Agent) -> str:
    """Execute a shell command and return the output

    Args:
        command_line (str): The command line to execute

    Returns:
        str: The output of the command
    """
    if not validate_command(command_line, agent.config):
        logger.info(f"Command '{command_line}' not allowed")
        return "Error: This Shell Command is not allowed."

    current_dir = Path.cwd()
    # Change dir into workspace if necessary
    if not current_dir.is_relative_to(agent.config.workspace_path):
        os.chdir(agent.config.workspace_path)

    logger.info(
        f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
    )

    result = subprocess.run(command_line, capture_output=True, shell=True)
    output = f"STDOUT:\n{result.stdout}\nSTDERR:\n{result.stderr}"

    # Change back to whatever the prior working dir was

    os.chdir(current_dir)
    return output


@command(
    "execute_shell_popen",
    "Execute Shell Command, non-interactive commands only",
    '"command_line": "<command_line>"',
    lambda config: config.execute_local_commands,
    "You are not allowed to run local shell commands. To execute"
    " shell commands, EXECUTE_LOCAL_COMMANDS must be set to 'True' "
    "in your config. Do not attempt to bypass the restriction.",
)
def execute_shell_popen(command_line, agent: Agent) -> str:
    """Execute a shell command with Popen and returns an english description
    of the event and the process id

    Args:
        command_line (str): The command line to execute

    Returns:
        str: Description of the fact that the process started and its id
    """
    if not validate_command(command_line, agent.config):
        logger.info(f"Command '{command_line}' not allowed")
        return "Error: This Shell Command is not allowed."

    current_dir = os.getcwd()
    # Change dir into workspace if necessary
    if agent.config.workspace_path not in current_dir:
        os.chdir(agent.config.workspace_path)

    logger.info(
        f"Executing command '{command_line}' in working directory '{os.getcwd()}'"
    )

    do_not_show_output = subprocess.DEVNULL
    process = subprocess.Popen(
        command_line, shell=True, stdout=do_not_show_output, stderr=do_not_show_output
    )

    # Change back to whatever the prior working dir was

    os.chdir(current_dir)

    return f"Subprocess started with PID:'{str(process.pid)}'"


def we_are_running_in_a_docker_container() -> bool:
    """Check if we are running in a Docker container

    Returns:
        bool: True if we are running in a Docker container, False otherwise
    """
    return os.path.exists("/.dockerenv")