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Parametrising components

So far, our Calendar component will always render the date 1970-01-01. Let's make it more useful and flexible by being able to pass in custom date.

What we want is to be able to use the Calendar component within the template like so:

{% component "calendar" date="2024-12-13" extra_class="text-red" / %}

1. Understading component inputs¤

In section Create your first component, we defined the get_context_data() method that defines what variables will be available within the template:

[project root]/components/calendar/calendar.py
from django_components import Component, register

@register("calendar")
class Calendar(Component):
    template_name = "calendar.html"
    ...
    def get_context_data(self):
        return {
            "date": "1970-01-01",
        }

What we didn't say is that get_context_data() actually receives the args and kwargs that were passed to a component.

So if we call a component with a date and extra_class keywords:

{% component "calendar" date="2024-12-13" extra_class="text-red" / %}

This is the same as calling:

Calendar.get_context_data(date="2024-12-13", extra_class="text-red")

And same applies to positional arguments, or mixing args and kwargs, where:

{% component "calendar" "2024-12-13" extra_class="text-red" / %}

is same as

Calendar.get_context_data("2024-12-13", extra_class="text-red")

2. Define inputs for get_context_data¤

Let's put this to test. We want to pass date and extra_class kwargs to the component. And so, we can write the get_context_data() method such that it expects those parameters:

[project root]/components/calendar/calendar.py
from datetime import date

from django_components import Component, register

@register("calendar")
class Calendar(Component):
    template_name = "calendar.html"
    ...
    def get_context_data(self, date: date, extra_class: str | None = None):
        return {
            "date": date,
            "extra_class": extra_class,
        }

Info

Since get_context_data() is just a regular Python function, type hints annotations work the same way as anywhere else.

Warning

Since get_context_data() is just a regular Python function, it will raise TypeError if it receives incorrect parameters.

Since extra_class is optional in the function signature, it's optional also in the template. So both following calls are valid:

{% component "calendar" "2024-12-13" / %}
{% component "calendar" "2024-12-13" extra_class="text-red" / %}

However, date is required. Thus we MUST provide it. Same with regular Python functions, date can be set either as positional or keyword argument. But either way it MUST be set:

{% component "calendar" "2024-12-13" / %}
{% component "calendar" extra_class="text-red" date="2024-12-13" / %}

{% component "calendar" extra_class="text-red" / %}

3. Process inputs in get_context_data¤

The get_context_data() method is powerful, because it allows us to decouple component inputs from the template variables. In other words, we can pre-process the component inputs, and massage them into a shape that's most appropriate for what the template needs. And it also allows us to pass in static data into the template.

Imagine our component receives data from the database that looks like below (taken from Django).

cities = [
    {"name": "Mumbai", "population": "19,000,000", "country": "India"},
    {"name": "Calcutta", "population": "15,000,000", "country": "India"},
    {"name": "New York", "population": "20,000,000", "country": "USA"},
    {"name": "Chicago", "population": "7,000,000", "country": "USA"},
    {"name": "Tokyo", "population": "33,000,000", "country": "Japan"},
]

We need to group the list items by size into following buckets by population:

  • 0-10,000,000
  • 10,000,001-20,000,000
  • 20,000,001-30,000,000
  • +30,000,001

So we want to end up with following data:

cities_by_pop = [
    {
      "name": "0-10,000,000",
      "items": [
          {"name": "Chicago", "population": "7,000,000", "country": "USA"},
      ]
    },
    {
      "name": "10,000,001-20,000,000",
      "items": [
          {"name": "Calcutta", "population": "15,000,000", "country": "India"},
          {"name": "Mumbai", "population": "19,000,000", "country": "India"},
          {"name": "New York", "population": "20,000,000", "country": "USA"},
      ]
    },
    {
      "name": "30,000,001-40,000,000",
      "items": [
          {"name": "Tokyo", "population": "33,000,000", "country": "Japan"},
      ]
    },
]

Without the get_context_data() method, we'd have to either:

  1. Pre-process the data in Python before passing it to the components.
  2. Define a Django filter or template tag to take the data and process it on the spot.

Instead, with get_context_data(), we can keep this transformation private to this component, and keep the rest of the codebase clean.

def group_by_pop(data):
    ...

@register("population_table")
class PopulationTable(Component):
    template_name = "population_table.html"

    def get_context_data(self, data):
        return {
            "data": group_by_pop(data),
        }

Similarly we can make use of get_context_data() to pre-process the date that was given to the component:

[project root]/components/calendar/calendar.py
from datetime import date

from django_components import Component, register

# If date is Sat or Sun, shift it to next Mon, so the date is always workweek.
def to_workweek_date(d: date):
    ...

@register("calendar")
class Calendar(Component):
    template_name = "calendar.html"
    ...
    def get_context_data(self, date: date, extra_class: str | None = None):
        workweek_date = to_workweek_date(date)  # <--- new
        return {
            "date": workweek_date,  # <--- changed
            "extra_class": extra_class,
        }

4. Pass inputs to components¤

Once we're happy with Calendar.get_contex_data(), we can update our templates to use the parametrized version of the component:

<div>
  {% component "calendar" date="2024-12-13" / %}
  {% component "calendar" date="1970-01-01" / %}
</div>

Next, you will learn how to use slots give your components even more flexibility ➡️