数据集#
- class langsmith.schemas.Dataset(_host_url: str | None = None, _tenant_id: UUID | None = None, _public_path: str | None = None, *, name: str, description: str | None = None, data_type: DataType | None = None, id: UUID, created_at: datetime, modified_at: datetime | None = None, example_count: int | None = None, session_count: int | None = None, last_session_start_time: datetime | None = None, inputs_schema: Dict[str, Any] | None = None, outputs_schema: Dict[str, Any] | None = None, transformations: List[DatasetTransformation] | None = None)[source]#
数据集 ORM 模型。
初始化 Dataset 对象。
属性
url
此运行在应用内的 URL。
方法
__init__
([_host_url, _tenant_id, _public_path])初始化 Dataset 对象。
construct
([_fields_set])创建一个新的模型,从受信任或预验证的数据中设置 __dict__ 和 __fields_set__。
copy
(*[, include, exclude, update, deep])复制模型,可选择包含、排除和更改哪些字段。
dict
(*[, include, exclude, by_alias, ...])生成模型的字典表示,可选择指定要包含或排除的字段。
from_orm
(obj)json
(*[, include, exclude, by_alias, ...])生成模型的 JSON 表示,include 和 exclude 参数与 dict() 相同。
parse_file
(path, *[, content_type, ...])parse_obj
(obj)parse_raw
(b, *[, content_type, encoding, ...])schema
([by_alias, ref_template])schema_json
(*[, by_alias, ref_template])update_forward_refs
(**localns)尝试基于此模型、全局命名空间和局部命名空间更新字段上的 ForwardRefs。
validate
(value)- 参数:
_host_url (str | None)
_tenant_id (UUID | None)
_public_path (str | None)
name (str)
description (str | None)
data_type (DataType | None)
id (UUID)
created_at (datetime)
modified_at (datetime | None)
example_count (int | None)
session_count (int | None)
last_session_start_time (datetime | None)
inputs_schema (Dict[str, Any] | None)
outputs_schema (Dict[str, Any] | None)
transformations (List[DatasetTransformation] | None)
- __init__(_host_url: str | None = None, _tenant_id: UUID | None = None, _public_path: str | None = None, **kwargs: Any) None [source]#
初始化 Dataset 对象。
- 参数:
_host_url (str | None)
_tenant_id (UUID | None)
_public_path (str | None)
kwargs (Any)
- 返回类型:
None
- classmethod construct(_fields_set: SetStr | None = None, **values: Any) Model #
创建一个新的模型,从受信任或预验证的数据中设置 __dict__ 和 __fields_set__。默认值会被遵循,但不会执行其他验证。行为类似于设置了 Config.extra = ‘allow’,因为它会添加所有传递的值
- 参数:
_fields_set (SetStr | None)
values (Any)
- 返回类型:
Model
- copy(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, update: DictStrAny | None = None, deep: bool = False) Model #
复制模型,可选择包含、排除和更改哪些字段。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None) – 新模型中要包含的字段
exclude (AbstractSetIntStr | MappingIntStrAny | None) – 从新模型中排除的字段,与值一样,这优先于 include
update (DictStrAny | None) – 要在新模型中更改/添加的值。注意:数据在创建新模型之前未经过验证:您应该信任此数据
deep (bool) – 设置为 True 以创建模型的深拷贝
self (Model)
- 返回:
新的模型实例
- 返回类型:
Model
- dict(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) DictStrAny #
生成模型的字典表示,可选择指定要包含或排除的字段。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)
- 返回类型:
DictStrAny
- classmethod from_orm(obj: Any) Model #
- 参数:
obj (Any)
- 返回类型:
Model
- json(*, include: AbstractSetIntStr | MappingIntStrAny | None = None, exclude: AbstractSetIntStr | MappingIntStrAny | None = None, by_alias: bool = False, skip_defaults: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = None, models_as_dict: bool = True, **dumps_kwargs: Any) str #
生成模型的 JSON 表示,include 和 exclude 参数与 dict() 相同。
encoder 是一个可选函数,作为 default 提供给 json.dumps(),其他参数与 json.dumps() 相同。
- 参数:
include (AbstractSetIntStr | MappingIntStrAny | None)
exclude (AbstractSetIntStr | MappingIntStrAny | None)
by_alias (bool)
skip_defaults (bool | None)
exclude_unset (bool)
exclude_defaults (bool)
exclude_none (bool)
encoder (Callable[[Any], Any] | None)
models_as_dict (bool)
dumps_kwargs (Any)
- 返回类型:
str
- classmethod parse_file(path: str | Path, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model #
- 参数:
path (str | Path)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)
- 返回类型:
Model
- classmethod parse_obj(obj: Any) Model #
- 参数:
obj (Any)
- 返回类型:
Model
- classmethod parse_raw(b: str | bytes, *, content_type: str = None, encoding: str = 'utf8', proto: Protocol = None, allow_pickle: bool = False) Model #
- 参数:
b (str | bytes)
content_type (str)
encoding (str)
proto (Protocol)
allow_pickle (bool)
- 返回类型:
Model
- classmethod schema(by_alias: bool = True, ref_template: str = '#/definitions/{model}') DictStrAny #
- 参数:
by_alias (bool)
ref_template (str)
- 返回类型:
DictStrAny
- classmethod schema_json(*, by_alias: bool = True, ref_template: str = '#/definitions/{model}', **dumps_kwargs: Any) str #
- 参数:
by_alias (bool)
ref_template (str)
dumps_kwargs (Any)
- 返回类型:
str
- classmethod update_forward_refs(**localns: Any) None #
尝试基于此模型、全局命名空间和局部命名空间更新字段上的 ForwardRefs。
- 参数:
localns (Any)
- 返回类型:
None
- classmethod validate(value: Any) Model #
- 参数:
value (Any)
- 返回类型:
Model