import inspect
import re
import textwrap
from pathlib import Path
from typing import Callable, Dict, List

import wrapt
from interpreter.core.core import Interpreter

from metagpt.actions.clone_function import (
    CloneFunction,
    run_function_code,
    run_function_script,
)
from metagpt.config import CONFIG
from metagpt.logs import logger
from metagpt.utils.highlight import highlight


def extract_python_code(code: str):
    """Extract code blocks: If the code comments are the same, only the last code block is kept."""
    # Use regular expressions to match comment blocks and related code.
    pattern = r"(#\s[^\n]*)\n(.*?)(?=\n\s*#|$)"
    matches = re.findall(pattern, code, re.DOTALL)

    # Extract the last code block when encountering the same comment.
    unique_comments = {}
    for comment, code_block in matches:
        unique_comments[comment] = code_block

    # concatenate into functional form
    result_code = "\n".join([f"{comment}\n{code_block}" for comment, code_block in unique_comments.items()])
    header_code = code[: code.find("#")]
    code = header_code + result_code

    logger.info(f"Extract python code: \n {highlight(code)}")

    return code


class OpenCodeInterpreter(object):
    """https://github.com/KillianLucas/open-interpreter"""

    def __init__(self, auto_run: bool = True) -> None:
        interpreter = Interpreter()
        interpreter.auto_run = auto_run
        interpreter.model = CONFIG.openai_api_model or "gpt-3.5-turbo"
        interpreter.api_key = CONFIG.openai_api_key
        # interpreter.api_base = CONFIG.openai_api_base
        self.interpreter = interpreter

    def chat(self, query: str, reset: bool = True):
        if reset:
            self.interpreter.reset()
        return self.interpreter.chat(query)

    @staticmethod
    def extract_function(
        query_respond: List, function_name: str, *, language: str = "python", function_format: str = None
    ) -> str:
        """create a function from query_respond."""
        if language not in ("python"):
            raise NotImplementedError(f"Not support to parse language {language}!")

        # set function form
        if function_format is None:
            assert language == "python", f"Expect python language for default function_format, but got {language}."
            function_format = """def {function_name}():\n{code}"""
        # Extract the code module in the open-interpreter respond message.
        # The query_respond of open-interpreter before v0.1.4 is:
        # [{'role': 'user', 'content': your query string},
        #  {'role': 'assistant', 'content': plan from llm, 'function_call': {
        #   "name": "run_code",  "arguments": "{"language": "python", "code": code of first plan},
        #   "parsed_arguments": {"language": "python", "code": code of first plan}
        #  ...]
        if "function_call" in query_respond[1]:
            code = [
                item["function_call"]["parsed_arguments"]["code"]
                for item in query_respond
                if "function_call" in item
                and "parsed_arguments" in item["function_call"]
                and "language" in item["function_call"]["parsed_arguments"]
                and item["function_call"]["parsed_arguments"]["language"] == language
            ]
        # The query_respond of open-interpreter v0.1.7 is:
        # [{'role': 'user', 'message': your query string},
        #  {'role': 'assistant', 'message': plan from llm, 'language': 'python',
        #   'code': code of first plan, 'output': output of first plan code},
        #  ...]
        elif "code" in query_respond[1]:
            code = [
                item["code"]
                for item in query_respond
                if "code" in item and "language" in item and item["language"] == language
            ]
        else:
            raise ValueError(f"Unexpect message format in query_respond: {query_respond[1].keys()}")
        # add indent.
        indented_code_str = textwrap.indent("\n".join(code), " " * 4)
        # Return the code after deduplication.
        if language == "python":
            return extract_python_code(function_format.format(function_name=function_name, code=indented_code_str))


def gen_query(func: Callable, args, kwargs) -> str:
    # Get the annotation of the function as part of the query.
    desc = func.__doc__
    signature = inspect.signature(func)
    # Get the signature of the wrapped function and the assignment of the input parameters as part of the query.
    bound_args = signature.bind(*args, **kwargs)
    bound_args.apply_defaults()
    query = f"{desc}, {bound_args.arguments}, If you must use a third-party package, use the most popular ones, for example: pandas, numpy, ta, ..."
    return query


def gen_template_fun(func: Callable) -> str:
    return f"def {func.__name__}{str(inspect.signature(func))}\n    # here is your code ..."


class OpenInterpreterDecorator(object):
    def __init__(self, save_code: bool = False, code_file_path: str = None, clear_code: bool = False) -> None:
        self.save_code = save_code
        self.code_file_path = code_file_path
        self.clear_code = clear_code

    def _have_code(self, rsp: List[Dict]):
        # Is there any code generated?
        return "code" in rsp[1] and rsp[1]["code"] not in ("", None)

    def _is_faild_plan(self, rsp: List[Dict]):
        # is faild plan?
        func_code = OpenCodeInterpreter.extract_function(rsp, "function")
        # If there is no more than 1 '\n', the plan execution fails.
        if isinstance(func_code, str) and func_code.count("\n") <= 1:
            return True
        return False

    def _check_respond(self, query: str, interpreter: OpenCodeInterpreter, respond: List[Dict], max_try: int = 3):
        for _ in range(max_try):
            # TODO: If no code or faild plan is generated, execute chat again, repeating no more than max_try times.
            if self._have_code(respond) and not self._is_faild_plan(respond):
                break
            elif not self._have_code(respond):
                logger.warning(f"llm did not return executable code, resend the query: \n{query}")
                respond = interpreter.chat(query)
            elif self._is_faild_plan(respond):
                logger.warning(f"llm did not generate successful plan, resend the query: \n{query}")
                respond = interpreter.chat(query)

        # Post-processing of respond
        if not self._have_code(respond):
            error_msg = f"OpenCodeInterpreter do not generate code for query: \n{query}"
            logger.error(error_msg)
            raise ValueError(error_msg)

        if self._is_faild_plan(respond):
            error_msg = f"OpenCodeInterpreter do not generate code for query: \n{query}"
            logger.error(error_msg)
            raise ValueError(error_msg)
        return respond

    def __call__(self, wrapped):
        @wrapt.decorator
        async def wrapper(wrapped: Callable, instance, args, kwargs):
            # Get the decorated function name.
            func_name = wrapped.__name__
            # If the script exists locally and clearcode is not required, execute the function from the script.
            if self.code_file_path and Path(self.code_file_path).is_file() and not self.clear_code:
                return run_function_script(self.code_file_path, func_name, *args, **kwargs)

            # Auto run generate code by using open-interpreter.
            interpreter = OpenCodeInterpreter()
            query = gen_query(wrapped, args, kwargs)
            logger.info(f"query for OpenCodeInterpreter: \n {query}")
            respond = interpreter.chat(query)
            # Make sure the response is as expected.
            respond = self._check_respond(query, interpreter, respond, 3)
            # Assemble the code blocks generated by open-interpreter into a function without parameters.
            func_code = interpreter.extract_function(respond, func_name)
            # Clone the `func_code` into wrapped, that is,
            # keep the `func_code` and wrapped functions with the same input parameter and return value types.
            template_func = gen_template_fun(wrapped)
            cf = CloneFunction()
            code = await cf.run(template_func=template_func, source_code=func_code)
            # Display the generated function in the terminal.
            logger_code = highlight(code, "python")
            logger.info(f"Creating following Python function:\n{logger_code}")
            # execute this function.
            try:
                res = run_function_code(code, func_name, *args, **kwargs)
                if self.save_code and self.code_file_path:
                    cf._save(self.code_file_path, code)
            except Exception as e:
                logger.error(f"Could not evaluate Python code \n{logger_code}: \nError: {e}")
                raise Exception("Could not evaluate Python code", e)
            return res

        return wrapper(wrapped)
