# 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, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class DeclareTableResponse(BaseModel):
    """
    Response for declaring a table. 
    """ # noqa: E501
    context: Optional[Dict[str, StrictStr]] = Field(default=None, description="Arbitrary context as key-value pairs. How to use the context is custom to the specific implementation.  On a request, it carries caller-provided context to the implementation. On a response, it carries implementation-provided context back to the caller.  REST NAMESPACE ONLY Context entries are mapped to and from HTTP headers using the `header.` prefix: - On a request, any entry whose key starts with `header.` is sent as an HTTP   request header with the prefix stripped. For example, the entry   `{\"header.Authorization\": \"Bearer abc\"}` is sent as the request header   `Authorization: Bearer abc`. - On a response, every HTTP response header is returned as an entry whose key is the   header name prefixed with `header.`. For example, the response header   `x-request-id: abc123` is returned as the entry `{\"header.x-request-id\": \"abc123\"}`. ")
    transaction_id: Optional[StrictStr] = Field(default=None, description="Optional transaction identifier")
    location: Optional[StrictStr] = None
    storage_options: Optional[Dict[str, StrictStr]] = Field(default=None, description="Configuration options to be used to access storage. The available options depend on the type of storage in use. These will be passed directly to Lance to initialize storage access. ")
    properties: Optional[Dict[str, StrictStr]] = Field(default=None, description="If the implementation does not support table properties, it should return null for this field. Otherwise it should return the properties. ")
    managed_versioning: Optional[StrictBool] = Field(default=None, description="When true, the caller should use namespace table version operations (CreateTableVersion, BatchCreateTableVersions, DescribeTableVersion, ListTableVersions, BatchDeleteTableVersions) to manage table versions instead of relying on Lance's native version management. ")
    __properties: ClassVar[List[str]] = ["context", "transaction_id", "location", "storage_options", "properties", "managed_versioning"]

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

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

        _obj = cls.model_validate({
            "context": obj.get("context"),
            "transaction_id": obj.get("transaction_id"),
            "location": obj.get("location"),
            "storage_options": obj.get("storage_options"),
            "properties": obj.get("properties"),
            "managed_versioning": obj.get("managed_versioning")
        })
        return _obj