{
  "schema": {
    "properties": {
      "already_exists": {
        "default": "fail",
        "description": "What to do if the table already exists accepts: fail, replace, append",
        "enum": ["fail", "replace", "append"],
        "type": "string"
      },
      "column_data_types": {
        "description": "[CSV only] A dictionary with column names and their data types if you need to change the defaults. Example: {'user_id':'int'}. Check Python Pandas library for supported data types",
        "type": "string"
      },
      "column_dates": {
        "description": "[CSV and Excel only] A list of column names that should be parsed as dates. Example: date,timestamp",
        "items": { "type": "string" },
        "type": "array"
      },
      "columns_read": {
        "description": "A List of the column names that should be read",
        "items": { "type": "string" },
        "type": "array"
      },
      "dataframe_index": {
        "description": "Write dataframe index as a column.",
        "type": "boolean"
      },
      "day_first": {
        "description": "[CSV only] DD/MM format dates, international and European format",
        "type": "boolean"
      },
      "decimal_character": {
        "description": "[CSV and Excel only] Character to recognize as decimal point. Default is '.'",
        "type": "string"
      },
      "delimiter": {
        "description": "[CSV only] The character used to separate values in the CSV file (e.g., a comma, semicolon, or tab).",
        "type": "string"
      },
      "file": {
        "description": "The file to upload",
        "format": "text/csv",
        "type": "string"
      },
      "header_row": {
        "description": "[CSV and Excel only] Row containing the headers to use as column names (0 is first line of data). Leave empty if there is no header row.",
        "type": "integer"
      },
      "index_column": {
        "description": "[CSV and Excel only] Column to use as the row labels of the dataframe. Leave empty if no index column",
        "type": "string"
      },
      "index_label": {
        "description": "Index label for index column.",
        "type": "string"
      },
      "null_values": {
        "description": "[CSV and Excel only] A list of strings that should be treated as null. Examples: '' for empty strings, 'None', 'N/A', Warning: Hive database supports only a single value",
        "items": { "type": "string" },
        "type": "array"
      },
      "rows_to_read": {
        "description": "[CSV and Excel only] Number of rows to read from the file. If None, reads all rows.",
        "minimum": 1,
        "nullable": true,
        "type": "integer"
      },
      "schema": {
        "description": "The schema to upload the data file to.",
        "type": "string"
      },
      "sheet_name": {
        "description": "[Excel only]] Strings used for sheet names (default is the first sheet).",
        "type": "string"
      },
      "skip_blank_lines": {
        "description": "[CSV only] Skip blank lines in the CSV file.",
        "type": "boolean"
      },
      "skip_initial_space": {
        "description": "[CSV only] Skip spaces after delimiter.",
        "type": "boolean"
      },
      "skip_rows": {
        "description": "[CSV and Excel only] Number of rows to skip at start of file.",
        "type": "integer"
      },
      "table_name": {
        "description": "The name of the table to be created/appended",
        "maxLength": 10000,
        "minLength": 1,
        "type": "string"
      },
      "type": {
        "description": "File type to upload",
        "enum": ["csv", "excel", "columnar"]
      }
    },
    "required": ["file", "table_name", "type"],
    "type": "object",
    "title": "UploadPostSchema"
  },
  "schemaType": "response"
}