django-slick-reporting 1.3.1
A one-stop report and analytics generation and computation with batteries included
Requires Python: >=3.6

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Django Slick Reporting
======================

A one stop reports engine with batteries included.

Features
--------

- Effortlessly create Simple, Grouped, Time series and Crosstab reports in a handful of code lines.
- Create Chart(s) for your reports with a single line of code.
- Create Custom complex Calculation.
- Optimized for speed.
- Easily extendable.

Installation
------------

Use the package manager `pip <https://pip.pypa.io/en/stable/>`_ to install django-slick-reporting.

.. code-block:: console

        pip install django-slick-reporting


Usage
-----

So we have a model `SalesTransaction` which contains typical data about a sale.
We can extract different kinds of information for that model.

Let's start by a "Group by" report. This will generate a report how much quantity and value was each product sold within a certain time.

.. code-block:: python


    # in views.py
    from django.db.models import Sum
    from slick_reporting.views import ReportView, Chart
    from slick_reporting.fields import ComputationField
    from .models import MySalesItems


    class TotalProductSales(ReportView):
        report_model = SalesTransaction
        date_field = "date"
        group_by = "product"
        columns = [
            "name",
            ComputationField.create(
                Sum, "quantity", verbose_name="Total quantity sold", is_summable=False
            ),
            ComputationField.create(
                Sum, "value", name="sum__value", verbose_name="Total Value sold $"
            ),
        ]

        chart_settings = [
            Chart(
                "Total sold $",
                Chart.BAR,
                data_source=["sum__value"],
                title_source=["name"],
            ),
            Chart(
                "Total sold $ [PIE]",
                Chart.PIE,
                data_source=["sum__value"],
                title_source=["name"],
            ),
        ]


    # then, in urls.py
    path("total-sales-report", TotalProductSales.as_view())



With this code, you will get something like this:

.. image:: https://i.ibb.co/SvxTM23/Selection-294.png
    :target: https://i.ibb.co/SvxTM23/Selection-294.png
    :alt: Shipped in View Page


Time Series
-----------

A Time series report is a report that is generated for a periods of time.
The period can be daily, weekly, monthly, yearly or custom. Calculations will be performed for each period in the time series.

Example: How much was sold in value for each product monthly within a date period ?

.. code-block:: python

    # in views.py
    from slick_reporting.views import ReportView
    from slick_reporting.fields import ComputationField
    from .models import SalesTransaction


    class MonthlyProductSales(ReportView):
        report_model = SalesTransaction
        date_field = "date"
        group_by = "product"
        columns = ["name", "sku"]

        time_series_pattern = "monthly"
        # or "yearly" , "weekly" , "daily" , others and custom patterns
        time_series_columns = [
            ComputationField.create(
                Sum, "value", verbose_name=_("Sales Value"), name="value"
            )  # what will be calculated for each month
        ]

        chart_settings = [
            Chart(
                _("Total Sales Monthly"),
                Chart.PIE,
                data_source=["value"],
                title_source=["name"],
                plot_total=True,
            ),
            Chart(
                "Total Sales [Area chart]",
                Chart.AREA,
                data_source=["value"],
                title_source=["name"],
                plot_total=False,
            ),
        ]


.. image:: https://github.com/ra-systems/django-slick-reporting/blob/develop/docs/source/topics/_static/timeseries.png?raw=true
    :alt: Time Series Report
    :align: center

Cross Tab
---------
Use crosstab reports, also known as matrix reports, to show the relationships between three or more query items.
Crosstab reports show data in rows and columns with information summarized at the intersection points.

.. code-block:: python

        # in views.py
        from slick_reporting.views import ReportView
        from slick_reporting.fields import ComputationField
        from .models import MySalesItems


        class MyCrosstabReport(ReportView):

            crosstab_field = "client"
            crosstab_ids = [1, 2, 3]
            crosstab_columns = [
                ComputationField.create(Sum, "value", verbose_name=_("Value for")),
            ]
            crosstab_compute_remainder = True

            columns = [
                "some_optional_field",
                # You can customize where the crosstab columns are displayed in relation to the other columns
                "__crosstab__",
                # This is the same as the Same as the calculation in the crosstab, but this one will be on the whole set. IE total value
                ComputationField.create(Sum, "value", verbose_name=_("Total Value")),
            ]


.. image:: https://github.com/ra-systems/django-slick-reporting/blob/develop/docs/source/topics/_static/crosstab.png?raw=true
   :alt: Homepage
   :align: center


Low level
---------

The view is a wrapper over the `ReportGenerator` class, which is the core of the reporting engine.
You can interact with the `ReportGenerator` using same syntax as used with the `ReportView` .

.. code-block:: python

    from slick_reporting.generator import ReportGenerator
    from .models import MySalesModel


    class MyReport(ReportGenerator):
        report_model = MySalesModel
        group_by = "product"
        columns = ["title", "__total__"]


    # OR
    my_report = ReportGenerator(
        report_model=MySalesModel, group_by="product", columns=["title", "__total__"]
    )
    my_report.get_report_data()  # -> [{'title':'Product 1', '__total__: 56}, {'title':'Product 2', '__total__: 43}, ]


This is just a scratch of what you can do and customize.

Demo site
---------

Available on `Django Slick Reporting <https://django-slick-reporting.com/>`_


You can also use locally

.. code-block:: console

        # clone the repo
        git clone https://github.com/ra-systems/django-slick-reporting.git
        # create a virtual environment and activate it
        python -m venv /path/to/new/virtual/environment
        source /path/to/new/virtual/environment/bin/activate

        cd django-slick-reporting/demo_proj
        pip install -r requirements.txt
        python manage.py migrate
        python manage.py create_entries
        python manage.py runserver

the ``create_entries`` command will generate data for the demo app

Documentation
-------------

Available on `Read The Docs <https://django-slick-reporting.readthedocs.io/en/latest/>`_

You can run documentation locally

.. code-block:: console

    <activate your virtual environment>
    cd docs
    pip install -r requirements.txt
    sphinx-build -b html source build


Road Ahead
----------

* Continue on enriching the demo project
* Add the dashboard capabilities


Running tests
-----------------
Create a virtual environment (maybe with `virtual slick_reports_test`), activate it; Then ,
 
.. code-block:: console
    
    $ git clone git+git@github.com: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


Support & Contributing
----------------------

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 <https://docs.djangoproject.com/en/dev/internals/contributing/writing-code/unit-tests/>`_ to serve as contribution guide here too.


Authors
--------

* **Ramez Ashraf** - *Initial work* - `RamezIssac <https://github.com/RamezIssac>`_

Cross Reference
---------------

If you like this package, chances are you may like those packages too!

`Django Tabular Permissions <https://github.com/RamezIssac/django-tabular-permissions>`_ Display Django permissions in a HTML table that is translatable and easy customized.

`Django ERP Framework <https://github.com/ra-systems/RA>`_ A framework to build business solutions with ease.

If you find this project useful or promising , You can support us by a github ⭐