Source code for arize._generated.api_client.models.dataset_example_delete_response
# coding: utf-8
"""
Arize REST API
API specification for the backend data server. The API is hosted globally at https://api.arize.com/v2 or in your own environment.
The version of the OpenAPI document: 2.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List
from typing import Optional, Set
from typing_extensions import Self
[docs]
class DatasetExampleDeleteResponse(BaseModel):
"""
Result of a DELETE dataset examples request. The delete is partial-tolerant: examples that exist in the selected version are deleted, and every requested ID that was not deleted is reported in `not_deleted_example_ids` so the caller can act on it. A `200 OK` response always includes: - `completed` — `true` if the operation finished and no retry is needed; `false` if it could not fully complete (retry the full request). - `deleted_example_ids` — example IDs confirmed deleted in this request. - `not_deleted_example_ids` — requested IDs not deleted: either not found in the selected version (never added, or already deleted), or whose deletion did not complete when `completed` is `false`.
""" # noqa: E501
completed: StrictBool = Field(description="`true` when the operation finished and no retry is needed. `false` when the operation could not fully complete — retry the original full request (the delete is idempotent). ")
deleted_example_ids: List[StrictStr] = Field(description="Example IDs confirmed deleted in this request.")
not_deleted_example_ids: List[StrictStr] = Field(description="Requested example IDs that were not deleted: either not found in the selected version (never added, or already deleted), or whose deletion did not complete when `completed` is `false`. ")
__properties: ClassVar[List[str]] = ["completed", "deleted_example_ids", "not_deleted_example_ids"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
[docs]
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
[docs]
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
[docs]
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of DatasetExampleDeleteResponse from a JSON string"""
return cls.from_dict(json.loads(json_str))
[docs]
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
[docs]
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of DatasetExampleDeleteResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
# raise errors for additional fields in the input
for _key in obj.keys():
if _key not in cls.__properties:
raise ValueError("Error due to additional fields (not defined in DatasetExampleDeleteResponse) in the input: " + _key)
_obj = cls.model_validate({
"completed": obj.get("completed"),
"deleted_example_ids": obj.get("deleted_example_ids"),
"not_deleted_example_ids": obj.get("not_deleted_example_ids")
})
return _obj