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Support context aware settings (for each incoming request), support override of settings, refactor CLI to use pr_agent.py

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Ori Kotek
2023-08-01 14:43:26 +03:00
parent 6605f9c444
commit d7b77764c3
26 changed files with 305 additions and 384 deletions
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20
pr_agent/tools/pr_information_from_user.py
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@ -6,13 +6,11 @@ from jinja2 import Environment, StrictUndefined
from pr_agent.algo.ai_handler import AiHandler
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.config_loader import settings
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
class PRInformationFromUser:
def __init__(self, pr_url: str, args: list = None):
self.git_provider = get_git_provider()(pr_url)
@ -29,19 +27,19 @@ class PRInformationFromUser:
}
self.token_handler = TokenHandler(self.git_provider.pr,
self.vars,
settings.pr_information_from_user_prompt.system,
settings.pr_information_from_user_prompt.user)
get_settings().pr_information_from_user_prompt.system,
get_settings().pr_information_from_user_prompt.user)
self.patches_diff = None
self.prediction = None
async def generate_questions(self):
logging.info('Generating question to the user...')
if settings.config.publish_output:
if get_settings().config.publish_output:
self.git_provider.publish_comment("Preparing questions...", is_temporary=True)
await retry_with_fallback_models(self._prepare_prediction)
logging.info('Preparing questions...')
pr_comment = self._prepare_pr_answer()
if settings.config.publish_output:
if get_settings().config.publish_output:
logging.info('Pushing questions...')
self.git_provider.publish_comment(pr_comment)
self.git_provider.remove_initial_comment()
@ -57,9 +55,9 @@ class PRInformationFromUser:
variables = copy.deepcopy(self.vars)
variables["diff"] = self.patches_diff # update diff
environment = Environment(undefined=StrictUndefined)
system_prompt = environment.from_string(settings.pr_information_from_user_prompt.system).render(variables)
user_prompt = environment.from_string(settings.pr_information_from_user_prompt.user).render(variables)
if settings.config.verbosity_level >= 2:
system_prompt = environment.from_string(get_settings().pr_information_from_user_prompt.system).render(variables)
user_prompt = environment.from_string(get_settings().pr_information_from_user_prompt.user).render(variables)
if get_settings().config.verbosity_level >= 2:
logging.info(f"\nSystem prompt:\n{system_prompt}")
logging.info(f"\nUser prompt:\n{user_prompt}")
response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
@ -68,7 +66,7 @@ class PRInformationFromUser:
def _prepare_pr_answer(self) -> str:
model_output = self.prediction.strip()
if settings.config.verbosity_level >= 2:
if get_settings().config.verbosity_level >= 2:
logging.info(f"answer_str:\n{model_output}")
answer_str = f"{model_output}\n\n Please respond to the questions above in the following format:\n\n" +\
"\n>/answer\n>1) ...\n>2) ...\n>...\n"