# coding: utf-8

"""
    Lance Namespace Specification

    This OpenAPI specification is a part of the Lance namespace specification. It contains 2 parts:  The `components/schemas`, `components/responses`, `components/examples`, `tags` sections define the request and response shape for each operation in a Lance Namespace across all implementations. See https://lance.org/format/namespace/operations for more details.  The `servers`, `security`, `paths`, `components/parameters` sections are for the Lance REST Namespace implementation, which defines a complete REST server that can work with Lance datasets. See https://lance.org/format/namespace/rest for more details. 

    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 pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class ErrorResponse(BaseModel):
    """
    Common JSON error response model
    """ # noqa: E501
    error: Optional[StrictStr] = Field(default=None, description="A brief, human-readable message about the error.")
    code: Annotated[int, Field(strict=True, ge=0)] = Field(description="Lance Namespace error code identifying the error type.  Error codes:   0 - Unsupported: Operation not supported by this backend   1 - NamespaceNotFound: The specified namespace does not exist   2 - NamespaceAlreadyExists: A namespace with this name already exists   3 - NamespaceNotEmpty: Namespace contains tables or child namespaces   4 - TableNotFound: The specified table does not exist   5 - TableAlreadyExists: A table with this name already exists   6 - TableIndexNotFound: The specified table index does not exist   7 - TableIndexAlreadyExists: A table index with this name already exists   8 - TableTagNotFound: The specified table tag does not exist   9 - TableTagAlreadyExists: A table tag with this name already exists   10 - TransactionNotFound: The specified transaction does not exist   11 - TableVersionNotFound: The specified table version does not exist   12 - TableColumnNotFound: The specified table column does not exist   13 - InvalidInput: Malformed request or invalid parameters   14 - ConcurrentModification: Optimistic concurrency conflict   15 - PermissionDenied: User lacks permission for this operation   16 - Unauthenticated: Authentication credentials are missing or invalid   17 - ServiceUnavailable: Service is temporarily unavailable   18 - Internal: Unexpected server/implementation error   19 - InvalidTableState: Table is in an invalid state for the operation   20 - TableSchemaValidationError: Table schema validation failed ")
    detail: Optional[StrictStr] = Field(default=None, description="An optional human-readable explanation of the error. This can be used to record additional information such as stack trace. ")
    instance: Optional[StrictStr] = Field(default=None, description="A string that identifies the specific occurrence of the error. This can be a URI, a request or response ID, or anything that the implementation can recognize to trace specific occurrence of the error. ")
    __properties: ClassVar[List[str]] = ["error", "code", "detail", "instance"]

    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 ErrorResponse 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 ErrorResponse from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "error": obj.get("error"),
            "code": obj.get("code"),
            "detail": obj.get("detail"),
            "instance": obj.get("instance")
        })
        return _obj