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# coding: utf-8
"""
Amber Electric Public API
Amber is an Australian-based electricity retailer that pass through the real-time wholesale price of energy. Because of Amber's wholesale power prices, you can save hundreds of dollars a year by automating high power devices like air-conditioners, heat pumps and pool pumps. This Python library provides an interface to the API, allowing you to react to current and forecast prices, as well as download your historic usage.
The version of the OpenAPI document: 2.0.0
Contact: dev@amber.com.au
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
from inspect import getfullargspec
import json
import pprint
import re # noqa: F401
from typing import Any, List, Literal, Optional
from pydantic import BaseModel, Field, StrictStr, ValidationError, validator
from amberelectric.models.actual_interval import ActualInterval
from amberelectric.models.current_interval import CurrentInterval
from amberelectric.models.forecast_interval import ForecastInterval
from typing import Union, Any, List, TYPE_CHECKING
from pydantic import StrictStr, Field
INTERVAL_ONE_OF_SCHEMAS = ["ActualInterval", "CurrentInterval", "ForecastInterval"]
class Interval(BaseModel):
"""
Interval
"""
# data type: ActualInterval
oneof_schema_1_validator: Optional[ActualInterval] = None
# data type: CurrentInterval
oneof_schema_2_validator: Optional[CurrentInterval] = None
# data type: ForecastInterval
oneof_schema_3_validator: Optional[ForecastInterval] = None
if TYPE_CHECKING:
actual_instance: Union[ActualInterval, CurrentInterval, ForecastInterval]
else:
actual_instance: Any
one_of_schemas: List[str] = Field(INTERVAL_ONE_OF_SCHEMAS, Literal=True)
class Config:
validate_assignment = True
def __init__(self, *args, **kwargs) -> None:
if args:
if len(args) > 1:
raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
if kwargs:
raise ValueError("If a position argument is used, keyword arguments cannot be used.")
super().__init__(actual_instance=args[0])
else:
super().__init__(**kwargs)
@validator('actual_instance')
def actual_instance_must_validate_oneof(cls, v):
instance = Interval.construct()
error_messages = []
match = 0
# validate data type: ActualInterval
if not isinstance(v, ActualInterval):
error_messages.append(f"Error! Input type `{type(v)}` is not `ActualInterval`")
else:
match += 1
# validate data type: CurrentInterval
if not isinstance(v, CurrentInterval):
error_messages.append(f"Error! Input type `{type(v)}` is not `CurrentInterval`")
else:
match += 1
# validate data type: ForecastInterval
if not isinstance(v, ForecastInterval):
error_messages.append(f"Error! Input type `{type(v)}` is not `ForecastInterval`")
else:
match += 1
if match > 1:
# more than 1 match
raise ValueError("Multiple matches found when setting `actual_instance` in Interval with oneOf schemas: ActualInterval, CurrentInterval, ForecastInterval. Details: " + ", ".join(error_messages))
elif match == 0:
# no match
raise ValueError("No match found when setting `actual_instance` in Interval with oneOf schemas: ActualInterval, CurrentInterval, ForecastInterval. Details: " + ", ".join(error_messages))
else:
return v
@classmethod
def from_dict(cls, obj: dict) -> Interval:
return cls.from_json(json.dumps(obj))
@classmethod
def from_json(cls, json_str: str) -> Interval:
"""Returns the object represented by the json string"""
instance = Interval.construct()
error_messages = []
match = 0
# deserialize data into ActualInterval
try:
instance.actual_instance = ActualInterval.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into CurrentInterval
try:
instance.actual_instance = CurrentInterval.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
# deserialize data into ForecastInterval
try:
instance.actual_instance = ForecastInterval.from_json(json_str)
match += 1
except (ValidationError, ValueError) as e:
error_messages.append(str(e))
if match > 1:
# more than 1 match
raise ValueError("Multiple matches found when deserializing the JSON string into Interval with oneOf schemas: ActualInterval, CurrentInterval, ForecastInterval. Details: " + ", ".join(error_messages))
elif match == 0:
# no match
raise ValueError("No match found when deserializing the JSON string into Interval with oneOf schemas: ActualInterval, CurrentInterval, ForecastInterval. Details: " + ", ".join(error_messages))
else:
return instance
def to_json(self) -> str:
"""Returns the JSON representation of the actual instance"""
if self.actual_instance is None:
return "null"
to_json = getattr(self.actual_instance, "to_json", None)
if callable(to_json):
return self.actual_instance.to_json()
else:
return json.dumps(self.actual_instance)
def to_dict(self) -> dict:
"""Returns the dict representation of the actual instance"""
if self.actual_instance is None:
return None
to_dict = getattr(self.actual_instance, "to_dict", None)
if callable(to_dict):
return self.actual_instance.to_dict()
else:
# primitive type
return self.actual_instance
def to_str(self) -> str:
"""Returns the string representation of the actual instance"""
return pprint.pformat(self.dict())
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