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# coding: utf-8
"""
Hatchet API
The Hatchet API
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
import re # noqa: F401
from datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing_extensions import Self
from hatchet_sdk.clients.rest.models.api_resource_meta import APIResourceMeta
from hatchet_sdk.clients.rest.models.tenant_member_role import TenantMemberRole
class TenantInvite(BaseModel):
"""
TenantInvite
""" # noqa: E501
metadata: APIResourceMeta
email: StrictStr = Field(description="The email of the user to invite.")
role: TenantMemberRole = Field(description="The role of the user in the tenant.")
tenant_id: StrictStr = Field(
description="The tenant id associated with this tenant invite.",
alias="tenantId",
)
tenant_name: Optional[StrictStr] = Field(
default=None, description="The tenant name for the tenant.", alias="tenantName"
)
expires: datetime = Field(description="The time that this invite expires.")
__properties: ClassVar[List[str]] = [
"metadata",
"email",
"role",
"tenantId",
"tenantName",
"expires",
]
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 TenantInvite 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,
)
# override the default output from pydantic by calling `to_dict()` of metadata
if self.metadata:
_dict["metadata"] = self.metadata.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of TenantInvite from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"metadata": (
APIResourceMeta.from_dict(obj["metadata"])
if obj.get("metadata") is not None
else None
),
"email": obj.get("email"),
"role": obj.get("role"),
"tenantId": obj.get("tenantId"),
"tenantName": obj.get("tenantName"),
"expires": obj.get("expires"),
}
)
return _obj
|
