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chore: apply ruff's pyflakes linter rules (#2420)

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This commit is contained in:
Bowen Liang
2024-02-08 14:11:10 +08:00
committed by GitHub
parent 1b04382a9b
commit 14a19a3da9
34 changed files with 91 additions and 86 deletions
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4
api/controllers/console/app/app.py
View File

@@ -133,8 +133,8 @@ class AppListApi(Resource):
if not model_instance:
raise ProviderNotInitializeError(
f"No Default System Reasoning Model available. Please configure "
f"in the Settings -> Model Provider.")
"No Default System Reasoning Model available. Please configure "
"in the Settings -> Model Provider.")
else:
model_config_dict["model"]["provider"] = model_instance.provider
model_config_dict["model"]["name"] = model_instance.model

8
api/controllers/console/datasets/datasets.py
View File

@@ -288,8 +288,8 @@ class DatasetIndexingEstimateApi(Resource):
args['indexing_technique'])
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
elif args['info_list']['data_source_type'] == 'notion_import':
@@ -304,8 +304,8 @@ class DatasetIndexingEstimateApi(Resource):
args['indexing_technique'])
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
else:

16
api/controllers/console/datasets/datasets_document.py
View File

@@ -296,8 +296,8 @@ class DatasetInitApi(Resource):
)
except InvokeAuthorizationError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@@ -372,8 +372,8 @@ class DocumentIndexingEstimateApi(DocumentResource):
'English', dataset_id)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@@ -442,8 +442,8 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
'English', dataset_id)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
elif dataset.data_source_type == 'notion_import':
@@ -456,8 +456,8 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
None, 'English', dataset_id)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
else:

12
api/controllers/console/datasets/datasets_segments.py
View File

@@ -143,8 +143,8 @@ class DatasetDocumentSegmentApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@@ -234,8 +234,8 @@ class DatasetDocumentSegmentAddApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
try:
@@ -286,8 +286,8 @@ class DatasetDocumentSegmentUpdateApi(Resource):
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
# check segment

4
api/controllers/console/datasets/hit_testing.py
View File

@@ -76,8 +76,8 @@ class HitTestingApi(Resource):
raise ProviderModelCurrentlyNotSupportError()
except LLMBadRequestError:
raise ProviderNotInitializeError(
f"No Embedding Model or Reranking Model available. Please configure a valid provider "
f"in the Settings -> Model Provider.")
"No Embedding Model or Reranking Model available. Please configure a valid provider "
"in the Settings -> Model Provider.")
except InvokeError as e:
raise CompletionRequestError(e.description)
except ValueError as e:

2
api/controllers/console/explore/parameter.py
View File

@@ -78,7 +78,7 @@ class ExploreAppMetaApi(InstalledAppResource):
# get all tools
tools = agent_config.get('tools', [])
url_prefix = (current_app.config.get("CONSOLE_API_URL")
+ f"/console/api/workspaces/current/tool-provider/builtin/")
+ "/console/api/workspaces/current/tool-provider/builtin/")
for tool in tools:
keys = list(tool.keys())
if len(keys) >= 4: