xiaxinhang/pr-agent
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Refactor logging statements for better readability and debugging

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mrT23
2024-02-24 16:47:23 +02:00
parent df3a463668
commit 877796b539
15 changed files with 156 additions and 158 deletions
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23
pr_agent/tools/pr_questions.py
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@ -48,27 +48,35 @@ class PRQuestions:
async def run(self):
get_logger().info('Answering a PR question...')
relevant_configs = {'pr_questions': dict(get_settings().pr_questions),
'config': dict(get_settings().config)}
get_logger().debug("Relevant configs", configs=relevant_configs)
if get_settings().config.publish_output:
self.git_provider.publish_comment("Preparing answer...", is_temporary=True)
await retry_with_fallback_models(self._prepare_prediction)
get_logger().info('Preparing answer...')
pr_comment = self._prepare_pr_answer()
get_logger().debug(f"PR output", answer=pr_comment)
if self.git_provider.is_supported("gfm_markdown") and get_settings().pr_questions.enable_help_text:
pr_comment += "<hr>\n\n<details> <summary><strong>✨ Ask tool usage guide:</strong></summary><hr> \n\n"
pr_comment += HelpMessage.get_ask_usage_guide()
pr_comment += "\n</details>\n"
if get_settings().config.publish_output:
get_logger().info('Pushing answer...')
self.git_provider.publish_comment(pr_comment)
self.git_provider.remove_initial_comment()
return ""
async def _prepare_prediction(self, model: str):
get_logger().info('Getting PR diff...')
self.patches_diff = get_pr_diff(self.git_provider, self.token_handler, model)
get_logger().info('Getting AI prediction...')
self.prediction = await self._get_prediction(model)
if self.patches_diff:
get_logger().debug(f"PR diff", diff=self.patches_diff)
self.prediction = await self._get_prediction(model)
else:
get_logger().error(f"Error getting PR diff")
self.prediction = ""
async def _get_prediction(self, model: str):
variables = copy.deepcopy(self.vars)
@ -76,9 +84,6 @@ class PRQuestions:
environment = Environment(undefined=StrictUndefined)
system_prompt = environment.from_string(get_settings().pr_questions_prompt.system).render(variables)
user_prompt = environment.from_string(get_settings().pr_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}")
response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
system=system_prompt, user=user_prompt)
return response
@ -86,6 +91,4 @@ class PRQuestions:
def _prepare_pr_answer(self) -> str:
answer_str = f"Question: {self.question_str}\n\n"
answer_str += f"Answer:\n{self.prediction.strip()}\n\n"
if get_settings().config.verbosity_level >= 2:
get_logger().info(f"answer_str:\n{answer_str}")
return answer_str