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fix: typos and improve naming conventions: (#8687)

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Nam Vu
2024-09-23 20:32:58 +07:00
committed by GitHub
parent 8cc9e68363
commit bef83a4d2e
14 changed files with 37 additions and 38 deletions
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2
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/async_completions.py
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@@ -57,7 +57,7 @@ class AsyncCompletions(BaseAPI):
if temperature <= 0:
do_sample = False
temperature = 0.01
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperture不生效）") # noqa: E501
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperature不生效）") # noqa: E501
if temperature >= 1:
temperature = 0.99
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间")

2
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/api_resource/chat/completions.py
View File

@@ -60,7 +60,7 @@ class Completions(BaseAPI):
if temperature <= 0:
do_sample = False
temperature = 0.01
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperture不生效）") # noqa: E501
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间，do_sample重写为:false（参数top_p temperature不生效）") # noqa: E501
if temperature >= 1:
temperature = 0.99
# logger.warning("temperature:取值范围是：(0.0, 1.0) 开区间")

3
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_base_models.py
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@@ -630,8 +630,7 @@ def validate_type(*, type_: type[_T], value: object) -> _T:
return cast(_T, _validate_non_model_type(type_=type_, value=value))
# our use of subclasssing here causes weirdness for type checkers,
# so we just pretend that we don't subclass
# Subclassing here confuses type checkers, so we treat this class as non-inheriting.
if TYPE_CHECKING:
GenericModel = BaseModel
else:

12
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_http_client.py
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@@ -169,7 +169,7 @@ class BaseSyncPage(BasePage[_T], Generic[_T]):
# Pydantic uses a custom `__iter__` method to support casting BaseModels
# to dictionaries. e.g. dict(model).
# As we want to support `for item in page`, this is inherently incompatible
# with the default pydantic behaviour. It is not possible to support both
# with the default pydantic behavior. It is not possible to support both
# use cases at once. Fortunately, this is not a big deal as all other pydantic
# methods should continue to work as expected as there is an alternative method
# to cast a model to a dictionary, model.dict(), which is used internally
@@ -356,16 +356,16 @@ class HttpClient:
**kwargs,
)
def _object_to_formfata(self, key: str, value: Data | Mapping[object, object]) -> list[tuple[str, str]]:
def _object_to_formdata(self, key: str, value: Data | Mapping[object, object]) -> list[tuple[str, str]]:
items = []
if isinstance(value, Mapping):
for k, v in value.items():
items.extend(self._object_to_formfata(f"{key}[{k}]", v))
items.extend(self._object_to_formdata(f"{key}[{k}]", v))
return items
if isinstance(value, list | tuple):
for v in value:
items.extend(self._object_to_formfata(key + "[]", v))
items.extend(self._object_to_formdata(key + "[]", v))
return items
def _primitive_value_to_str(val) -> str:
@@ -385,7 +385,7 @@ class HttpClient:
return [(key, str_data)]
def _make_multipartform(self, data: Mapping[object, object]) -> dict[str, object]:
items = flatten(list(starmap(self._object_to_formfata, data.items())))
items = flatten(list(starmap(self._object_to_formdata, data.items())))
serialized: dict[str, object] = {}
for key, value in items:
@@ -620,7 +620,7 @@ class HttpClient:
stream: bool,
stream_cls: type[StreamResponse] | None,
) -> ResponseT:
# _legacy_response with raw_response_header to paser method
# _legacy_response with raw_response_header to parser method
if response.request.headers.get(RAW_RESPONSE_HEADER) == "true":
return cast(
ResponseT,

2
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_legacy_response.py
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@@ -87,7 +87,7 @@ class LegacyAPIResponse(Generic[R]):
For lower-level control, see `.read()`, `.json()`, `.iter_bytes()`.
You can customise the type that the response is parsed into through
You can customize the type that the response is parsed into through
the `to` argument, e.g.
```py

4
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/core/_response.py
View File

@@ -252,7 +252,7 @@ class APIResponse(BaseAPIResponse[R]):
For lower-level control, see `.read()`, `.json()`, `.iter_bytes()`.
You can customise the type that the response is parsed into through
You can customize the type that the response is parsed into through
the `to` argument, e.g.
```py
@@ -363,7 +363,7 @@ class StreamAlreadyConsumed(ZhipuAIError): # noqa: N818
# ^ error
```
If you want this behaviour you'll need to either manually accumulate the response
If you want this behavior you'll need to either manually accumulate the response
content or call `await response.read()` before iterating over the stream.
"""

4
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/__init__.py
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@@ -1,8 +1,8 @@
from .document import DocumentData, DocumentFailedInfo, DocumentObject, DocumentSuccessinfo
from .document import DocumentData, DocumentFailedInfo, DocumentObject, DocumentSuccessInfo
__all__ = [
"DocumentData",
"DocumentObject",
"DocumentSuccessinfo",
"DocumentSuccessInfo",
"DocumentFailedInfo",
]

6
api/core/model_runtime/model_providers/zhipuai/zhipuai_sdk/types/knowledge/document/document.py
View File

@@ -2,10 +2,10 @@ from typing import Optional
from ....core import BaseModel
__all__ = ["DocumentData", "DocumentObject", "DocumentSuccessinfo", "DocumentFailedInfo"]
__all__ = ["DocumentData", "DocumentObject", "DocumentSuccessInfo", "DocumentFailedInfo"]
class DocumentSuccessinfo(BaseModel):
class DocumentSuccessInfo(BaseModel):
documentId: Optional[str] = None
"""文件id"""
filename: Optional[str] = None
@@ -24,7 +24,7 @@ class DocumentFailedInfo(BaseModel):
class DocumentObject(BaseModel):
"""文档信息"""
successInfos: Optional[list[DocumentSuccessinfo]] = None
successInfos: Optional[list[DocumentSuccessInfo]] = None
"""上传成功的文件信息"""
failedInfos: Optional[list[DocumentFailedInfo]] = None
"""上传失败的文件信息"""