# 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 lance_namespace_urllib3_client.models.json_arrow_schema import JsonArrowSchema
from lance_namespace_urllib3_client.models.table_basic_stats import TableBasicStats
from typing import Optional, Set
from typing_extensions import Self

class DescribeTableResponse(BaseModel):
    """
    DescribeTableResponse
    """ # noqa: E501
    table: Optional[StrictStr] = Field(default=None, description="Table name. Only populated when `load_detailed_metadata` is true. ")
    namespace: Optional[List[StrictStr]] = Field(default=None, description="The namespace identifier as a list of parts. Only populated when `load_detailed_metadata` is true. ")
    version: Optional[Annotated[int, Field(strict=True, ge=0)]] = Field(default=None, description="Table version number. Only populated when `load_detailed_metadata` is true. ")
    location: Optional[StrictStr] = Field(default=None, description="Table storage location (e.g., S3/GCS path). ")
    table_uri: Optional[StrictStr] = Field(default=None, description="Table URI. Unlike location, this field must be a complete and valid URI. Only returned when `with_table_uri` is true. ")
    var_schema: Optional[JsonArrowSchema] = Field(default=None, description="Table schema in JSON Arrow format. Only populated when `load_detailed_metadata` is true. ", alias="schema")
    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. When `vend_credentials` is true, this field may include vended credentials. If the vended credentials are temporary, the `expires_at_millis` key should be included to indicate the millisecond timestamp when the credentials expire. ")
    stats: Optional[TableBasicStats] = Field(default=None, description="Table statistics. Only populated when `load_detailed_metadata` is true. ")
    metadata: Optional[Dict[str, StrictStr]] = Field(default=None, description="Optional table metadata as key-value pairs. ")
    __properties: ClassVar[List[str]] = ["table", "namespace", "version", "location", "table_uri", "schema", "storage_options", "stats", "metadata"]

    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 DescribeTableResponse 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 var_schema
        if self.var_schema:
            _dict['schema'] = self.var_schema.to_dict()
        # override the default output from pydantic by calling `to_dict()` of stats
        if self.stats:
            _dict['stats'] = self.stats.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of DescribeTableResponse from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "table": obj.get("table"),
            "namespace": obj.get("namespace"),
            "version": obj.get("version"),
            "location": obj.get("location"),
            "table_uri": obj.get("table_uri"),
            "schema": JsonArrowSchema.from_dict(obj["schema"]) if obj.get("schema") is not None else None,
            "storage_options": obj.get("storage_options"),
            "stats": TableBasicStats.from_dict(obj["stats"]) if obj.get("stats") is not None else None,
            "metadata": obj.get("metadata")
        })
        return _obj


