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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, StrictInt, StrictStr
from typing_extensions import Self
class RateLimit(BaseModel):
"""
RateLimit
""" # noqa: E501
key: StrictStr = Field(description="The key for the rate limit.")
tenant_id: StrictStr = Field(
description="The ID of the tenant associated with this rate limit.",
alias="tenantId",
)
limit_value: StrictInt = Field(
description="The maximum number of requests allowed within the window.",
alias="limitValue",
)
value: StrictInt = Field(
description="The current number of requests made within the window."
)
window: StrictStr = Field(
description="The window of time in which the limitValue is enforced."
)
last_refill: datetime = Field(
description="The last time the rate limit was refilled.", alias="lastRefill"
)
__properties: ClassVar[List[str]] = [
"key",
"tenantId",
"limitValue",
"value",
"window",
"lastRefill",
]
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 RateLimit 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 RateLimit from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"key": obj.get("key"),
"tenantId": obj.get("tenantId"),
"limitValue": obj.get("limitValue"),
"value": obj.get("value"),
"window": obj.get("window"),
"lastRefill": obj.get("lastRefill"),
}
)
return _obj
|
