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Litellm ruff linting enforcement (#5992)

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* ci(config.yml): add a 'check_code_quality' step

Addresses https://github.com/BerriAI/litellm/issues/5991

* ci(config.yml): check why circle ci doesn't pick up this test

* ci(config.yml): fix to run 'check_code_quality' tests

* fix(__init__.py): fix unprotected import

* fix(__init__.py): don't remove unused imports

* build(ruff.toml): update ruff.toml to ignore unused imports

* fix: fix: ruff + pyright - fix linting + type-checking errors

* fix: fix linting errors

* fix(lago.py): fix module init error

* fix: fix linting errors

* ci(config.yml): cd into correct dir for checks

* fix(proxy_server.py): fix linting error

* fix(utils.py): fix bare except

causes ruff linting errors

* fix: ruff - fix remaining linting errors

* fix(clickhouse.py): use standard logging object

* fix(__init__.py): fix unprotected import

* fix: ruff - fix linting errors

* fix: fix linting errors

* ci(config.yml): cleanup code qa step (formatting handled in local_testing)

* fix(_health_endpoints.py): fix ruff linting errors

* ci(config.yml): just use ruff in check_code_quality pipeline for now

* build(custom_guardrail.py): include missing file

* style(embedding_handler.py): fix ruff check
This commit is contained in:
Krish Dholakia 2024-10-01 16:44:20 -07:00 • committed by GitHub
parent 3fc4ae0d65
commit d57be47b0f
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263 changed files with 1687 additions and 3320 deletions
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7
litellm/llms/text_completion_codestral.py
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@ -17,6 +17,7 @@ import requests # type: ignore
import litellm
from litellm import verbose_logger
from litellm.litellm_core_utils.core_helpers import map_finish_reason
from litellm.litellm_core_utils.litellm_logging import Logging as LiteLLMLogging
from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler
from litellm.types.llms.databricks import GenericStreamingChunk
from litellm.utils import (
@ -157,7 +158,7 @@ class MistralTextCompletionConfig:
optional_params["top_p"] = value
if param == "max_tokens" or param == "max_completion_tokens":
optional_params["max_tokens"] = value
if param == "stream" and value == True:
if param == "stream" and value is True:
optional_params["stream"] = value
if param == "stop":
optional_params["stop"] = value
@ -249,7 +250,7 @@ class CodestralTextCompletion(BaseLLM):
response: Union[requests.Response, httpx.Response],
model_response: TextCompletionResponse,
stream: bool,
logging_obj: litellm.litellm_core_utils.litellm_logging.Logging,
logging_obj: LiteLLMLogging,
optional_params: dict,
api_key: str,
data: Union[dict, str],
@ -273,7 +274,7 @@ class CodestralTextCompletion(BaseLLM):
)
try:
completion_response = response.json()
except:
except Exception:
raise TextCompletionCodestralError(message=response.text, status_code=422)
_original_choices = completion_response.get("choices", [])