import argparse
import copy
from functools import partial

from jinja2 import Environment, StrictUndefined

from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAIHandler
from pr_agent.algo.git_patch_processing import convert_to_hunks_with_lines_numbers, \
    extract_hunk_lines_from_patch
from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
from pr_agent.algo.token_handler import TokenHandler
from pr_agent.algo.utils import ModelType
from pr_agent.config_loader import get_settings
from pr_agent.git_providers import get_git_provider
from pr_agent.git_providers.git_provider import get_main_pr_language
from pr_agent.log import get_logger
from pr_agent.servers.help import HelpMessage


class PR_LineQuestions:
    def __init__(self, pr_url: str, args=None, ai_handler: partial[BaseAiHandler,] = LiteLLMAIHandler):
        self.question_str = self.parse_args(args)
        self.git_provider = get_git_provider()(pr_url)
        self.main_pr_language = get_main_pr_language(
            self.git_provider.get_languages(), self.git_provider.get_files()
        )
        self.ai_handler = ai_handler()
        self.ai_handler.main_pr_language = self.main_pr_language

        self.vars = {
            "title": self.git_provider.pr.title,
            "branch": self.git_provider.get_pr_branch(),
            "diff": "",  # empty diff for initial calculation
            "question": self.question_str,
            "full_hunk": "",
            "selected_lines": "",
        }
        self.token_handler = TokenHandler(self.git_provider.pr,
                                          self.vars,
                                          get_settings().pr_line_questions_prompt.system,
                                          get_settings().pr_line_questions_prompt.user)
        self.patches_diff = None
        self.prediction = None

    def parse_args(self, args):
        if args and len(args) > 0:
            question_str = " ".join(args)
        else:
            question_str = ""
        return question_str


    async def run(self):
        get_logger().info('Answering a PR lines question...')
        # if get_settings().config.publish_output:
        #     self.git_provider.publish_comment("Preparing answer...", is_temporary=True)

        self.patch_with_lines = ""
        ask_diff = get_settings().get('ask_diff_hunk', "")
        line_start = get_settings().get('line_start', '')
        line_end = get_settings().get('line_end', '')
        side = get_settings().get('side', 'RIGHT')
        file_name = get_settings().get('file_name', '')
        comment_id = get_settings().get('comment_id', '')
        if ask_diff:
            self.patch_with_lines, self.selected_lines = extract_hunk_lines_from_patch(ask_diff,
                                                                                       file_name,
                                                                                       line_start=line_start,
                                                                                       line_end=line_end,
                                                                                       side=side
                                                                                       )
        else:
            diff_files = self.git_provider.get_diff_files()
            for file in diff_files:
                if file.filename == file_name:
                    self.patch_with_lines, self.selected_lines = extract_hunk_lines_from_patch(file.patch, file.filename,
                                                                                               line_start=line_start,
                                                                                               line_end=line_end,
                                                                                               side=side)
        if self.patch_with_lines:
            response = await retry_with_fallback_models(self._get_prediction, model_type=ModelType.TURBO)

            get_logger().info('Preparing answer...')
            if comment_id:
                self.git_provider.reply_to_comment_from_comment_id(comment_id, response)
            else:
                self.git_provider.publish_comment(response)

        return ""

    async def _get_prediction(self, model: str):
        variables = copy.deepcopy(self.vars)
        variables["full_hunk"] = self.patch_with_lines  # update diff
        variables["selected_lines"] = self.selected_lines
        environment = Environment(undefined=StrictUndefined)
        system_prompt = environment.from_string(get_settings().pr_line_questions_prompt.system).render(variables)
        user_prompt = environment.from_string(get_settings().pr_line_questions_prompt.user).render(variables)
        if get_settings().config.verbosity_level >= 2:
            # get_logger().info(f"\nSystem prompt:\n{system_prompt}")
            # get_logger().info(f"\nUser prompt:\n{user_prompt}")
            print(f"\nSystem prompt:\n{system_prompt}")
            print(f"\nUser prompt:\n{user_prompt}")

        response, finish_reason = await self.ai_handler.chat_completion(
            model=model, temperature=get_settings().config.temperature, system=system_prompt, user=user_prompt)
        return response