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A django package for creating simple stats from a query

Project description

A django package for creating stats from a query.

installation

Install it from pip:

pip install django-simple-stats

or the latest version from git:

pip install git+https://github.com/spapas/django-simple-stats

No other installation is needed.

Usage

The only supported method is the get_stats. It expects a django query and a configuration list. Each element of the configuration list is a dictionary with the following attributes:

  • label (required): The textual description of this statistic

  • kind (required): What kind of aggregate we need. Choices are: query_aggregate_single, query_aggregate, choice_aggregate, query_aggregate_date, query_aggregate_buckets.

  • method (required): The aggregate method. Can be one of count, sum, max, min, avg.

  • field (required): The field that the aggreate will run on; use __ for joins i.e fiedld1__field2

  • what (optional): Only required for query_aggregate_date, it is eithed year, month, day

  • choices (optional): Only required for choice_aggregate, it must be a django choices list

  • buckets (optional): only required for query_aggregate_buckets. Must be a list from the biggest to the lowest value.

See below for a complete example.

The response will be a list of dictionaries with the following attributes:

  • label: Same as the label in the configuration

  • value: Will have a value if you use the query_aggregate_single, else will be None

  • values: Will be empty for query_aggregate_single else will be a list of tuples. Each tuple will have two elements, (label, value)

The query_aggregate_single will run the aggregate function on a field and return a single value. For example you can get the total number of rows of your query or the sum of all fields.

The query_aggregate will run the aggregate function on a field and return the list of values. This is mainly useful for foreign keys and if you’ve got distinct values in your queries. For example count the number of rows per user. Also it is useful for booleans for example to get the number of rows that have a flag turned on and off.

The choice_aggregate is similar to the query_aggregate but will use a choices attribute to return better looking values.

The query_aggregate_date is similar to the query_aggregate but will return the aggregates on a specific date field; use what to pass year, month, day.

Finally, the query_aggregate_buckets is used to create buckets of values. You’ll pass the list of buckets and the query will return the results that belong in each bucket. The stats module will run individual queries with field__gte for each value. So for example if you pass [100, 50, 10] and you have a field price it will run price__gte=100, price__gte=50, price__gte=10 and return the results.

Example

from simple_stats import get_stats

STATS_CFG = cfg = [
        {
            'label': 'Total',
            'kind': 'query_aggregate_single',
            'method': 'count',
            'field': 'id',
        },
        {
            'label': 'Per authority',
            'kind': 'query_aggregate',
            'method': 'count',
            'field': 'pilot_authority__name',
        }
        {
            'label': 'Per status',
            'kind': 'choice_aggregate',
            'method': 'count',
            'field': 'status',
            'choices': models.STATUS_CHOICES,
        },
        {
            'label': 'Per year',
            'kind': 'query_aggregate_date',
            'method': 'count',
            'field': 'created_on',
            'what': 'year',

        },
        {
            'label': 'Per price',
            'kind': 'query_aggregate_buckets',
            'method': 'count',
            'field': 'price',
            'buckets': [100_00, 50_00, 1_000, 500, 0]
        }
    ]

def my_view(request):
    qs = TestModel.objects.all()

    stats = get_stats(qs, STATS_CFG)
    return render(request, 'my_template.html', {'stats': stats})

The stats will be an array of dictionaries like the following:

[
  {'label': 'Total', 'values': [], 'value': 1216},
  {'label': 'Per authority', 'values': [('Authority 1', 200), ('Authority 2', 9),   ], 'value': None},
  {'label': 'Per status', 'values': [('New', 200), ('Cancel', 0), 'value': None},
  {'label': 'Per year', 'values': [(2021, 582), (2022, 634)], 'value': None}
  {'label': 'Per price', 'values': [('> 5000', 1), ('> 1000', 29), ('> 500', 86), ('> 0', 305)], 'value': None}
]

You can display this in your template using something like:

<div class='row'>
  {% for s in stats %}
  <div class='col-md-4 mb-5' style='max-height: 500px; overflow: auto;'>
      <h4>{{ s.label }}</h4>
      {% if s.values %}
          <table class='table table-condensed table-striped small table-sm'>
              {% for v in s.values %}
                  <tr>
                      <td>{{ v.0 }}</td>
                      <td>{{ v.1 }}</td>
                  </tr>
              {% endfor %}
          </table>
      {% else %}
          <b>{{ s.value }}</b>
      {% endif %}
  </div>
  {% endfor %}
</div>

Changelog

  • v.0.1.0: Initial version

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