Source code for openapi_client.models.resource_access_grant_input_additional_metadata

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 1.0
    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
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self



class ResourceAccessGrantInputAdditionalMetadata(BaseModel):
    """
    ResourceAccessGrantInputAdditionalMetadata
    """ # noqa: E501
    tag_aws_resources: Optional[StrictBool] = Field(default=None, alias="TagAwsResources")
    is_domain_access_requested: Optional[StrictBool] = Field(default=None, alias="IsDomainAccessRequested")
    is_tenant_access_requested: Optional[StrictBool] = Field(default=None, alias="IsTenantAccessRequested")
    is_dataset_level_access_provided: Optional[StrictBool] = Field(default=None, alias="IsDatasetLevelAccessProvided")
    bypass_kb_source_acl: Optional[StrictBool] = Field(default=None, alias="BypassKBSourceACL")
    is_guardrail_required: Optional[StrictBool] = Field(default=None, alias="IsGuardrailRequired")
    __properties: ClassVar[List[str]] = ["TagAwsResources", "IsDomainAccessRequested", "IsTenantAccessRequested", "IsDatasetLevelAccessProvided", "BypassKBSourceACL", "IsGuardrailRequired"]

    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 ResourceAccessGrantInputAdditionalMetadata 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 ResourceAccessGrantInputAdditionalMetadata from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "TagAwsResources": obj.get("TagAwsResources"),
            "IsDomainAccessRequested": obj.get("IsDomainAccessRequested"),
            "IsTenantAccessRequested": obj.get("IsTenantAccessRequested"),
            "IsDatasetLevelAccessProvided": obj.get("IsDatasetLevelAccessProvided"),
            "BypassKBSourceACL": obj.get("BypassKBSourceACL"),
            "IsGuardrailRequired": obj.get("IsGuardrailRequired")
        })
        return _obj