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static_schedule_options.py
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static_schedule_options.py
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# coding: utf-8
"""
Klaviyo API
The Klaviyo REST API. Please visit https://developers.klaviyo.com for more details.
The version of the OpenAPI document: 2024-10-15
Contact: [email protected]
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 datetime import datetime
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 StaticScheduleOptions(BaseModel):
"""
StaticScheduleOptions
""" # noqa: E501
datetime_: datetime = Field(description="The time to send at", alias="datetime")
is_local: Optional[StrictBool] = Field(default=None, description="If the campaign should be sent with local recipient timezone send (requires UTC time) or statically sent at the given time. Defaults to False.")
send_past_recipients_immediately: Optional[StrictBool] = Field(default=None, description="Determines if we should send to local recipient timezone if the given time has passed. Only applicable to local sends. Defaults to False.")
__properties: ClassVar[List[str]] = ["datetime", "is_local", "send_past_recipients_immediately"]
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 StaticScheduleOptions 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,
)
# set to None if is_local (nullable) is None
# and model_fields_set contains the field
if self.is_local is None and "is_local" in self.model_fields_set:
_dict['is_local'] = None
# set to None if send_past_recipients_immediately (nullable) is None
# and model_fields_set contains the field
if self.send_past_recipients_immediately is None and "send_past_recipients_immediately" in self.model_fields_set:
_dict['send_past_recipients_immediately'] = None
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of StaticScheduleOptions from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"datetime": obj.get("datetime"),
"is_local": obj.get("is_local"),
"send_past_recipients_immediately": obj.get("send_past_recipients_immediately")
})
return _obj