Source code for arize._generated.api_client.models.ai_integration_scoping

# 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, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self



class AiIntegrationScoping(BaseModel):
    """
    Visibility scoping for the integration
    """ # noqa: E501
    organization_id: Optional[StrictStr] = Field(default=None, description="Organization global ID. Null means account-wide.")
    space_id: Optional[StrictStr] = Field(default=None, description="Space global ID. Null means organization-wide (or account-wide if organization_id is also null).")
    __properties: ClassVar[List[str]] = ["organization_id", "space_id"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
    )




    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))




    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())




    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of AiIntegrationScoping from a JSON string"""
        return cls.from_dict(json.loads(json_str))




    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,
        )
        # set to None if organization_id (nullable) is None
        # and model_fields_set contains the field
        if self.organization_id is None and "organization_id" in self.model_fields_set:
            _dict['organization_id'] = None

        # set to None if space_id (nullable) is None
        # and model_fields_set contains the field
        if self.space_id is None and "space_id" in self.model_fields_set:
            _dict['space_id'] = None

        return _dict




    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of AiIntegrationScoping 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 AiIntegrationScoping) in the input: " + _key)

        _obj = cls.model_validate({
            "organization_id": obj.get("organization_id"),
            "space_id": obj.get("space_id")
        })
        return _obj