from mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.search.tables.get_table_schema(table_name="<value>")

    # Handle response
    print(res)

{
  "indices": [
    {
      "config": {
        "type": "FTS"
      },
      "field": "content",
      "index_type": "FTS"
    },
    {
      "config": {
        "distance_type": "cosine",
        "num_partitions": 128,
        "type": "IVF_FLAT"
      },
      "field": "embedding",
      "index_type": "IVF_FLAT"
    }
  ],
  "schema": {
    "fields": [
      {
        "name": "id",
        "nullable": false,
        "type": "string"
      },
      {
        "index": "FTS",
        "name": "content",
        "nullable": false,
        "type": "string"
      },
      {
        "name": "category",
        "nullable": false,
        "type": "string"
      },
      {
        "name": "rating",
        "nullable": true,
        "type": "float"
      },
      {
        "dimensions": 3,
        "name": "embedding",
        "nullable": false,
        "type": "vector"
      }
    ]
  },
  "stats": {
    "num_deleted_rows": 12,
    "num_rows": 1250
  },
  "table_name": "support_kb"
}