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Refactor logging system to use custom logger across the codebase

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Ori Kotek
2023-10-16 14:56:00 +03:00
parent 41166dc271
commit c324d88be3
32 changed files with 340 additions and 311 deletions
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21
pr_agent/algo/ai_handler.py
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@ -1,4 +1,3 @@
import logging
import os
import litellm
@ -7,6 +6,8 @@ from litellm import acompletion
from openai.error import APIError, RateLimitError, Timeout, TryAgain
from retry import retry
from pr_agent.config_loader import get_settings
from pr_agent.log import get_logger
OPENAI_RETRIES = 5
@ -88,34 +89,34 @@ class AiHandler:
try:
deployment_id = self.deployment_id
if get_settings().config.verbosity_level >= 2:
logging.debug(
get_logger().debug(
f"Generating completion with {model}"
f"{(' from deployment ' + deployment_id) if deployment_id else ''}"
)
if self.azure:
model = 'azure/' + model
messages = [{"role": "system", "content": system}, {"role": "user", "content": user}]
response = await acompletion(
model=model,
deployment_id=deployment_id,
messages=[
{"role": "system", "content": system},
{"role": "user", "content": user}
],
messages=messages,
temperature=temperature,
force_timeout=get_settings().config.ai_timeout
)
except (APIError, Timeout, TryAgain) as e:
logging.error("Error during OpenAI inference: ", e)
get_logger().error("Error during OpenAI inference: ", e)
raise
except (RateLimitError) as e:
logging.error("Rate limit error during OpenAI inference: ", e)
get_logger().error("Rate limit error during OpenAI inference: ", e)
raise
except (Exception) as e:
logging.error("Unknown error during OpenAI inference: ", e)
get_logger().error("Unknown error during OpenAI inference: ", e)
raise TryAgain from e
if response is None or len(response["choices"]) == 0:
raise TryAgain
resp = response["choices"][0]['message']['content']
finish_reason = response["choices"][0]["finish_reason"]
print(resp, finish_reason)
usage = response.get("usage")
get_logger().info("AI response", response=resp, messages=messages, finish_reason=finish_reason,
model=model, usage=usage)
return resp, finish_reason