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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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6
litellm/llms/gemini.py
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@ -136,7 +136,7 @@ class GeminiConfig:
# ):
# try:
# import google.generativeai as genai # type: ignore
# except:
# except Exception:
# raise Exception(
# "Importing google.generativeai failed, please run 'pip install -q google-generativeai"
# )
@ -282,7 +282,7 @@ class GeminiConfig:
# completion_response = model_response["choices"][0]["message"].get("content")
# if completion_response is None:
# raise Exception
# except:
# except Exception:
# original_response = f"response: {response}"
# if hasattr(response, "candidates"):
# original_response = f"response: {response.candidates}"
@ -374,7 +374,7 @@ class GeminiConfig:
# completion_response = model_response["choices"][0]["message"].get("content")
# if completion_response is None:
# raise Exception
# except:
# except Exception:
# original_response = f"response: {response}"
# if hasattr(response, "candidates"):
# original_response = f"response: {response.candidates}"