Source code for arize._generated.api_client.models.create_gemini_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 pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self



class CreateGeminiConfig(BaseModel):
    """
    Create config for a Google Gemini LLM integration. `api_key` is required and is write-only (never returned in responses).
    """ # noqa: E501
    is_function_calling_enabled: Optional[StrictBool] = Field(default=None, description="Enable function/tool calling. Defaults to true.")
    provider: StrictStr = Field(description="Discriminator identifying the Gemini provider.")
    api_key: StrictStr = Field(description="API key for the provider (write-only, never returned).")
    __properties: ClassVar[List[str]] = ["is_function_calling_enabled", "provider", "api_key"]



    @field_validator('provider')
    def provider_validate_enum(cls, value):
        """Validates the enum"""
        if value not in set(['GEMINI']):
            raise ValueError("must be one of enum values ('GEMINI')")
        return value


    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 CreateGeminiConfig 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,
        )
        return _dict




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

        _obj = cls.model_validate({
            "is_function_calling_enabled": obj.get("is_function_calling_enabled"),
            "provider": obj.get("provider"),
            "api_key": obj.get("api_key")
        })
        return _obj