Add detect methods to MultiTableMetadata

[amontanez24]

Problem Description

As a user, it would be very useful if there was a way to add a template of the metadata for each table to my MultiTableMetadata.

Expected behavior

• The detect methods only need to detect the sdtypes for each column.
• Add detect_table_from_csv(filepath) method
  • Under the hood this should just call SingleTableMetadata.detect_from_csv(filepath)
  • Parameters
    • table_name: string that is the name of the table
    • filepath: string that is the full path to the csv file
  • Errors
    • If the metadata has already been detected, raise the following error

    Error: Metadata for table 'users' already exists. Specify a new table name or create a new MultiTableMetadata object for other data sources.

  • Should print the detected metadata as follows

>>> metadata = MultiTableMetadata()
>>> metadata.detect_table_from_csv(table_name='users', filepath='data/users.csv')

Detected metadata for table 'users':
{
  "columns": {
    "student_id": { "sdtype": "numerical" },
    "gender": { "sdtype": "categorical" },
    "gpa": { "sdtype": "numerical" },
    "age": { "sdtype": "numerical" },
    "education_level": { "sdtype": "categorical" }
  }
}

• Add detect_table_from_dataframe(data) method
  • Under the hood this should just call SingleTableMetadata.detect_from_dataframe(filepath)
  • Parameters
    • table_name: string that is the name of the table
    • data: the dataframe
  • Errors
    • If the metadata has already been detected, raise the following error

    Error: Metadata for table 'users' already exists. Specify a new table name or create a new MultiTableMetadata object for other data sources..

  • Should also print the detected metadata