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bulk_check_body.py
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120 lines (98 loc) · 4.52 KB
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# coding: utf-8
"""
Permify API
Permify is an open source authorization service for creating fine-grained and scalable authorization systems.
The version of the OpenAPI document: v1.6.8
Contact: hello@permify.co
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 typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel
from pydantic import Field
from permify.models.argument import Argument
from permify.models.context import Context
from permify.models.permission_bulk_check_request_item import PermissionBulkCheckRequestItem
from permify.models.permission_check_request_metadata import PermissionCheckRequestMetadata
try:
from typing import Self
except ImportError:
from typing_extensions import Self
class BulkCheckBody(BaseModel):
"""
PermissionBulkCheckRequest is the request message for the BulkCheck method in the Permission service.
""" # noqa: E501
metadata: Optional[PermissionCheckRequestMetadata] = None
items: Optional[List[PermissionBulkCheckRequestItem]] = Field(default=None, description="List of permission check requests, maximum 100 items.")
context: Optional[Context] = None
arguments: Optional[List[Argument]] = Field(default=None, description="Additional arguments associated with this request.")
__properties: ClassVar[List[str]] = ["metadata", "items", "context", "arguments"]
model_config = {
"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) -> Self:
"""Create an instance of BulkCheckBody 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.
"""
_dict = self.model_dump(
by_alias=True,
exclude={
},
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of metadata
if self.metadata:
_dict['metadata'] = self.metadata.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in items (list)
_items = []
if self.items:
for _item in self.items:
if _item:
_items.append(_item.to_dict())
_dict['items'] = _items
# override the default output from pydantic by calling `to_dict()` of context
if self.context:
_dict['context'] = self.context.to_dict()
# override the default output from pydantic by calling `to_dict()` of each item in arguments (list)
_items = []
if self.arguments:
for _item in self.arguments:
if _item:
_items.append(_item.to_dict())
_dict['arguments'] = _items
return _dict
@classmethod
def from_dict(cls, obj: Dict) -> Self:
"""Create an instance of BulkCheckBody from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"metadata": PermissionCheckRequestMetadata.from_dict(obj.get("metadata")) if obj.get("metadata") is not None else None,
"items": [PermissionBulkCheckRequestItem.from_dict(_item) for _item in obj.get("items")] if obj.get("items") is not None else None,
"context": Context.from_dict(obj.get("context")) if obj.get("context") is not None else None,
"arguments": [Argument.from_dict(_item) for _item in obj.get("arguments")] if obj.get("arguments") is not None else None
})
return _obj