Source code for arize._generated.api_client.models.freeform_annotation_config
# 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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List
from typing import Optional, Set
from typing_extensions import Self
[docs]
class FreeformAnnotationConfig(BaseModel):
"""
FreeformAnnotationConfig
""" # noqa: E501
id: StrictStr = Field(description="The unique identifier for the annotation config")
name: StrictStr = Field(description="The name of the annotation config")
created_at: datetime = Field(description="The timestamp for when the annotation config was created")
space_id: StrictStr = Field(description="The space id the annotation config belongs to")
type: StrictStr = Field(description="Discriminator value identifying a freeform annotation config.")
__properties: ClassVar[List[str]] = ["id", "name", "created_at", "space_id", "type"]
[docs]
@field_validator('type')
def type_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(['freeform']):
raise ValueError("must be one of enum values ('freeform')")
return value
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 FreeformAnnotationConfig 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 FreeformAnnotationConfig 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 FreeformAnnotationConfig) in the input: " + _key)
_obj = cls.model_validate({
"id": obj.get("id"),
"name": obj.get("name"),
"created_at": obj.get("created_at"),
"space_id": obj.get("space_id"),
"type": obj.get("type")
})
return _obj