A one stop reports engine with batteries included.
- Effortlessly create Simple, Grouped, Time series and Crosstab reports in a handful of code lines.
- Create your Custom Calculation easily, which will be integrated with the above reports types
- Optimized for speed.
- Batteries included! Charts.js , DataTable.net & a Bootstrap form.
Use the package manager pip to install django-slick-reporting.
pip install django-slick-reporting
So you have a model that contains data, let's call it MySalesItems
You can simply use a code like this
# in your urls.py
path('path-to-report', TotalProductSales.as_view())
# in views.py
from django.db.models import Sum
from slick_reporting.views import SlickReportView
from .models import MySalesItems
class TotalProductSales(SlickReportView):
report_model = MySalesItems
date_field = 'date_placed'
group_by = 'product'
columns = ['title',
SlickReportField.create(Sum, 'quantity') ,
SlickReportField.create(Sum, 'value', name='sum__value') ]
chart_settings = [{
'type': 'column',
'data_source': ['sum__value'],
'plot_total': False,
'title_source': 'title',
'title': _('Detailed Columns'),
}, ]
To get something like this
You can do a monthly time series :
# in views.py
from slick_reporting.views import SlickReportView
from .models import MySalesItems
class MonthlyProductSales(SlickReportView):
report_model = MySalesItems
date_field = 'date_placed'
group_by = 'product'
columns = ['name', 'sku']
# Analogy for time series
time_series_pattern = 'monthly'
time_series_columns = [SlickReportField.create(Sum, 'quantity', name='sum__quantity') ]
This would return a table looking something like this:
Product Name | SKU | Total Quantity in Jan 20 | Total Quantity in Feb 20 | Total Quantity in ... | Total Quantity in December 20 |
Product 1 | <from product model> | 10 | 15 | ... | 14 |
Product 2 | <from product model> | 11 | 12 | ... | 12 |
Product 3 | <from product model> | 17 | 12 | ... | 17 |
This example code assumes your "MySalesItems" model contains the fields `product` as foreign key, `quantity` as number , and `date_placed` as a date field. It also assumes your `Product` model has an SKU field.. Change those to better suit your structure.
--
On a low level
You can interact with the ReportGenerator using same syntax as used with the SlickReportView .
from slick_reporting.generator import ReportGenerator
from . models import MySalesModel
report = ReportGenerator(report_model=MySalesModel,
group_by='product',
columns=['title', '__total__']
)
report.get_report_data() #-> [{'title':'Product 1', '__total__: 56}, {'title':'Product 2', '__total__: 43}, ]
This is just a scratch, for more please visit the documentation
Slick Reporting comes with
- A Bootstrap Filter Form
- Charting support Charts.js
- Powerful tables datatables.net
A Preview:
Available on Read The Docs
This project is young and can use your support.
Some of the ideas / features that ought be added
- Support Other backends like SQL Alchemy & Pandas
- Support Grouping by non foreign key fields
- Support Time Series and Crosstab at the same time
Create a virtual environment (maybe with virtual slick_reports_test), activate it; Then ,
$ git clone [email protected]:ra-systems/django-slick-reporting.git
$ cd tests
$ python -m pip install -e ..
$ python runtests.py
# Or for Coverage report
$ coverage run --include=../* runtests.py [-k]
$ coverage html
Please consider star the project to keep an eye on it. Your PRs, reviews are most welcome and needed.
We honor the well formulated Django's guidelines to serve as contribution guide here too.
- Ramez Ashraf - Initial work - RamezIssac
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If you find this project useful or promising , You can support us by a github ⭐