sqlalchemy2-datatables 0.6.2

Python Sqlalchemy 2.0 based serverside processing for jQuery datatables.

sqlalchemy2-datatables

Summary

sqlalchemy2-datatables is a framework agnostic library providing an SQLAlchemy integration of jQuery DataTables >= 1.10, and helping you manage server side requests in your application.

Inspiration

This project was inspired by sqlalchemy-datatables developed by Michel Nemnom aka Pegase745.

Motivation

Given the sunstantial changes with SQLAlchemy 2.0 most of not all of the SQLAlchemy based datatables serverside solution will be outdated soon (labeit currently still supported in SQLAlchemy 1.4). Specifically deprecation of sqlalchemy.orm.Query will render those packages obsolete. SQLAlchemy2.0.

Installation

pip install sqlalchemy2-datatables

Examples

Generic CRUD style function:

from typing import Any
from sqlalchemy import Engine
from sqlalchemy import FromClause

from datatables import DataTable
from datatables.base import DTDataCallbacks

def get_datatable_result(
    params: dict[str, Any],
    table: FromClause,
    column_names: list[str],
    engine: Engine,
    callbacks: DTDataCallbacks | None,
) -> dict[str, Any]:
    """
    Get database results specifically formatted for a display via jQuery datatables.
    :param params: dict - request parameters
    :param table: FromClause - the sqlalchemy from clause
    :param column_names - List of column names reflecting the table columns in the desired order
    :param engine: Engine -  the sqlalchemy engine
    :param callbacks - datatables callbacks to populate jQuery datatables DT_* attributes
    :return dict with DataTable output for the jQuery datatables in the frontend view
    """
    datatable: DataTable = DataTable(
        request_params=params,
        table=table,
        column_names=column_names,
        engine=engine,
        callbacks=callbacks
    )
    return datatable.output_result()

The output dictionary that can be serialized and returned to jQuery datatables.

{
    "start": 0,
    "length": 5,
    "draw": 1,
    "recordsTotal": 1000,
    "recordsFiltered": 1000,
    "data": [
        {
            "id": 1,
            "col1": "value",
            "col2": "value",
            "col3": "value",
            "col4": "value",
        },
        {
            "id": 2,
            "col1": "value",
            "col2": "value",
            "col3": "value",
            "col4": "value",
        },
        {
            "id": 3,
            "col1": "value",
            "col2": "value",
            "col3": "value",
            "col4": "value",
        },
        {
            "id": 4,
            "col1": "value",
            "col2": "value",
            "col3": "value",
            "col4": "value",
        },
        {
            "id": 5,
            "col1": "value",
            "col2": "value",
            "col3": "value",
            "col4": "value",
        },
    ],
}