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# coding: utf-8
"""
UnifAPI
Unified, AI-friendly API for public-data providers. Single source of truth for the UnifAPI gateway — consumed by docs (Fumadocs), the marketing site, and downstream SDK generators.
The version of the OpenAPI document: 0.0.1
Contact: support@unifapi.com
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 pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from unifapi.models.error_billing import ErrorBilling
from typing import Optional, Set
from typing_extensions import Self
class Error(BaseModel):
"""
Error
""" # noqa: E501
type: StrictStr = Field(description="Closed vocabulary - see docs/adr/0003-error-model.md.")
message: StrictStr
request_id: Optional[StrictStr] = Field(default=None, description="UnifAPI request id, e.g. `unif_<id>`. Source ids are not exposed.")
issues: Optional[List[Any]] = Field(default=None, description="Present only when type=validation_error.")
billing: Optional[ErrorBilling] = None
__properties: ClassVar[List[str]] = ["type", "message", "request_id", "issues", "billing"]
@field_validator('type')
def type_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(['validation_error', 'invalid_id', 'insufficient_credits', 'unauthorized', 'not_found', 'rate_limited', 'internal_error', 'response_shape_error', 'upstream_error', 'upstream_unavailable']):
raise ValueError("must be one of enum values ('validation_error', 'invalid_id', 'insufficient_credits', 'unauthorized', 'not_found', 'rate_limited', 'internal_error', 'response_shape_error', 'upstream_error', 'upstream_unavailable')")
return value
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 Error 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 billing
if self.billing:
_dict['billing'] = self.billing.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of Error from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"type": obj.get("type"),
"message": obj.get("message"),
"request_id": obj.get("request_id"),
"issues": obj.get("issues"),
"billing": ErrorBilling.from_dict(obj["billing"]) if obj.get("billing") is not None else None
})
return _obj