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• JSON format is flexible, ideally, the import  API ought to parse user's JSON files without asking user to reformat the files according to a strict rule.
• User can store scalar fields and vector fields in a JSON file, with row-based or column-based, the . The import() API ought t can support both of them.

         A  Store scalar fields and vector field data in a JSON file with row-based example:

{
  "table": {
    "rows": [
      {"id": 1, "year": 2021, "vector": [1.0, 1.1, 1.2]},
      {"id": 2, "year": 2022, "vector": [2.0, 2.1, 2.2]},
      {"id": 3, "year": 2023, "vector": [3.0, 3.1, 3.2]}
    ]
  }
}

         A  Store scalar fields and vector field data in a JSON file with column-based example:

{
  "table": {
    "columns": [
      "id": [1, 2, 3],
      "year": [2021, 2022, 2023],
      "vector": [
        [1.0, 1.1, 1.2],
        [2.0, 2.1, 2.2],
        [3.0, 3.1, 3.2]
      ]
    ]
  }
}

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Based on the several points, we choose a JSON object as a parameter of python import() API, the API declaration will be like this:

def import(options)

The parameter "options" is a JSON object which has the following format:

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