mirror of
https://github.com/qodo-ai/pr-agent.git
synced 2025-07-02 11:50:37 +08:00
97 lines
4.4 KiB
Python
97 lines
4.4 KiB
Python
import copy
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from functools import partial
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from jinja2 import Environment, StrictUndefined
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from pr_agent.algo.ai_handlers.base_ai_handler import BaseAiHandler
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from pr_agent.algo.ai_handlers.litellm_ai_handler import LiteLLMAIHandler
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from pr_agent.algo.pr_processing import get_pr_diff, retry_with_fallback_models
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from pr_agent.algo.token_handler import TokenHandler
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from pr_agent.config_loader import get_settings
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from pr_agent.git_providers import get_git_provider
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from pr_agent.git_providers.git_provider import get_main_pr_language
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from pr_agent.log import get_logger
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from pr_agent.servers.help import HelpMessage
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class PRQuestions:
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def __init__(self, pr_url: str, args=None, ai_handler: partial[BaseAiHandler,] = LiteLLMAIHandler):
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question_str = self.parse_args(args)
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self.pr_url = pr_url
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self.git_provider = get_git_provider()(pr_url)
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self.main_pr_language = get_main_pr_language(
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self.git_provider.get_languages(), self.git_provider.get_files()
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)
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self.ai_handler = ai_handler()
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self.ai_handler.main_pr_language = self.main_pr_language
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self.question_str = question_str
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self.vars = {
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"title": self.git_provider.pr.title,
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"branch": self.git_provider.get_pr_branch(),
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"description": self.git_provider.get_pr_description(),
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"language": self.main_pr_language,
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"diff": "", # empty diff for initial calculation
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"questions": self.question_str,
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"commit_messages_str": self.git_provider.get_commit_messages(),
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}
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self.token_handler = TokenHandler(self.git_provider.pr,
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self.vars,
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get_settings().pr_questions_prompt.system,
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get_settings().pr_questions_prompt.user)
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self.patches_diff = None
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self.prediction = None
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def parse_args(self, args):
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if args and len(args) > 0:
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question_str = " ".join(args)
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else:
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question_str = ""
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return question_str
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async def run(self):
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get_logger().info(f'Answering a PR question about the PR {self.pr_url} ')
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relevant_configs = {'pr_questions': dict(get_settings().pr_questions),
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'config': dict(get_settings().config)}
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get_logger().debug("Relevant configs", artifacts=relevant_configs)
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if get_settings().config.publish_output:
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self.git_provider.publish_comment("Preparing answer...", is_temporary=True)
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await retry_with_fallback_models(self._prepare_prediction)
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pr_comment = self._prepare_pr_answer()
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get_logger().debug(f"PR output", artifact=pr_comment)
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if self.git_provider.is_supported("gfm_markdown") and get_settings().pr_questions.enable_help_text:
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pr_comment += "<hr>\n\n<details> <summary><strong>✨ Ask tool usage guide:</strong></summary><hr> \n\n"
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pr_comment += HelpMessage.get_ask_usage_guide()
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pr_comment += "\n</details>\n"
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if get_settings().config.publish_output:
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self.git_provider.publish_comment(pr_comment)
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self.git_provider.remove_initial_comment()
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return ""
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async def _prepare_prediction(self, model: str):
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self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
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if self.patches_diff:
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get_logger().debug(f"PR diff", artifact=self.patches_diff)
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self.prediction = await self._get_prediction(model)
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else:
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get_logger().error(f"Error getting PR diff")
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self.prediction = ""
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async def _get_prediction(self, model: str):
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variables = copy.deepcopy(self.vars)
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variables["diff"] = self.patches_diff # update diff
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environment = Environment(undefined=StrictUndefined)
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system_prompt = environment.from_string(get_settings().pr_questions_prompt.system).render(variables)
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user_prompt = environment.from_string(get_settings().pr_questions_prompt.user).render(variables)
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response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
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system=system_prompt, user=user_prompt)
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return response
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def _prepare_pr_answer(self) -> str:
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answer_str = f"Question: {self.question_str}\n\n"
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answer_str += f"Answer:\n{self.prediction.strip()}\n\n"
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return answer_str
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