Django Slick Reporting

Django Slick Reporting a report engine allowing you to create & display diverse analytics. Batteries like a ready to use View and Highcharts & Charts.js integration are included.

Installation

To install django-slick-reporting:

  1. Install with pip: pip install django-slick-reporting.

  2. Add slick_reporting to INSTALLED_APPS.

  3. For the shipped in View, add 'crispy_forms' to INSTALLED_APPS and add CRISPY_TEMPLATE_PACK = 'bootstrap4' to your settings.py

  4. Execute python manage.py collectstatic so the JS helpers are collected and served.

Demo site

https://django-slick-reporting.com is a quick walk-though with live code examples

Options

  • Compute different types of fields (Sum, Avg, Count, Min, Max, StdDev, Variance) on a model

  • Group by a foreign key, date, or any other field

  • Display the results in a table

  • Display the results in a chart (Highcharts or Charts.js)

  • Export the results to CSV , extendable easily

Quickstart

You can start by using SlickReportView which is a subclass of django.views.generic.FormView

# in views.py
from slick_reporting.views import SlickReportView
from slick_reporting.fields import SlickReportField
from .models import MySalesItems

class MonthlyProductSales(SlickReportView):
    # The model where you have the data
    report_model = MySalesItems

    # the main date field used for the model.
    date_field = 'date_placed' # or 'order__date_placed'
    # this support traversing, like so
    # date_field = 'order__date_placed'

    # A foreign key to group calculation on
    group_by = 'product'

    # The columns you want to display
    columns = ['title',
                SlickReportField.create(method=Sum, field='value', name='value__sum', verbose_name=_('Total sold $'))
                ]

    # Charts
    charts_settings = [
     {
        'type': 'bar',
        'data_source': 'value__sum',
        'title_source': 'title',
     },
    ]

Next step Structure

Contents:

Indices and tables