A Django app which provides the integration of a Django project with the jQuery Javascript library DataTables.net
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django-ajax-datatable
django-ajax-datatable is a Django app (previously named morlandi/django-datatables-view) which provides advanced integration for a Django project with the jQuery Javascript library DataTables.net,
when used in server-side processing mode.
In this context, the rendering of the table is the result of a serie of Ajax
requests to the server following user interactions (i.e. when paging, ordering, searching, etc.).
With django-ajax-datatable, basically you have to provide a AjaxDatatableView-derived view
to describe the desired table content and behaviour, and the app manages the interaction
with DataTables.net by reacting to the ajax requests with suitable responses.
Notes:
Since someone asked ...
I use this app for my own projects, and improve it from time to time as new needs arises.
I received so much from the Django community, so I'm more than happy to share something hopefully useful for others.
The app is intended to be opensource; feel free to use it we no restrictions at all.
I added a MIT Licence file to the github repo, to make this more explicit.
Since v4.0.0, the package has been renamed from django-datatables-view to django-ajax-datatable
to avoid a conflict on PyPI
Unfortunately I only have a few unit tests, and didn't bother (yet) to add a TOX procedure to run then with
different Python/Django versions.
Having said this, I can confirm that I do happen to use it with no problems in projects based on Django 2.x.
However, most recent improvements have been tested mainly with Django 3.
As far as I know, no Django3-specific features have been applied.
In case, please open an issue, and I will fix it.
I'm not willing to support Python 2.x and Django 1.x any more; in case, use a previous release (tagged as v2.x.x);
old releases will be in place in the repo forever
Features:
Pagination
Column ordering
Global generic search
Global date-range search over "get_latest_by" column
Column specific filtering
Foreign key fields can be used, using the "model1model2field" notation
Here, "{% url 'ajax_datatable_permissions' %}" is the endpoint to the specialized view:
file urls.py
.. code:: python
from django.urls import path
from . import ajax_datatable_views
app_name = 'frontend'
urlpatterns = [
...
path('ajax_datatable/permissions/', ajax_datatable_views.PermissionAjaxDatatableView.as_view(), name="ajax_datatable_permissions"),
]
The javascript helper AjaxDatatableViewUtils.initialize_table(element, url, extra_options={}, extra_data={})
connects the HTML table element to the "server-size table rendering" machinery, and performs
a first call (identified by the action=initialize parameter) to the AjaxDatatableView-derived
view.
This in turn populates the HTML empty table with a suitable layout,
while subsequent calls to the view will be performed to populate the table with real data.
This strategy allows the placement of one or more dynamic tables in the same page.
I often keep all AjaxDatatableView-derived views in a separate "ajax_datatable_views.py" source file,
to make it crystal clear that you should never call them directly:
element
table element
url
action (remote url to be called via Ajax)
extra_options={}
custom options for dataTable()
extra_data={}
extra parameters to be sent via ajax for global "initial queryset" filtering;
see: `Provide "extra data" to narrow down the initial queryset`_
AjaxDatatableView Class attributes
Required:
model
column_defs
Optional:
initial_order = [[1, "asc"], [5, "desc"]] # positions can also be expressed as column names: [['surname', 'asc'], ]
or override the following methods to provide attribute values at run-time,
based on request:
.. code:: python
def get_column_defs(self):
return self.column_defs
def get_initial_order(self):
return self.initial_order
def get_length_menu(self):
return self.length_menu
def get_latest_by(self, request):
"""
Override to customize based on request.
Provides the name of the column to be used for global date range filtering.
Return either '', a fieldname or None.
When None is returned, in model's Meta 'get_latest_by' attributed will be used.
"""
return self.latest_by
def get_show_date_filters(self, request):
"""
Override to customize based on request.
Defines whether to use the global date range filter.
Return either True, False or None.
When None is returned, will'll check whether 'latest_by' is defined
"""
return self.show_date_filters
def get_show_column_filters(self, request):
"""
Override to customize based on request.
Defines whether to use the column filters.
Return either True, False or None.
When None is returned, check if at least one visible column in searchable.
"""
return self.show_column_filters
def get_table_row_id(self, request, obj):
"""
Provides a specific ID for the table row; default: "row-ID"
Override to customize as required.
"""
result = ''
if self.table_row_id_fieldname:
try:
result = self.table_row_id_prefix + str(getattr(obj, self.table_row_id_fieldname))
except:
result = ''
return result
column_defs customizations
Example::
column_defs = [{
'name': 'currency', # required
'data': None,
'title': 'Currency', # optional: default = field verbose_name or column name
'visible': True, # optional: default = True
'searchable': True, # optional: default = True if visible, False otherwise
'orderable': True, # optional: default = True if visible, False otherwise
'foreign_field': 'manager__name', # optional: follow relation
'm2m_foreign_field': 'manager__name', # optional: follow m2m relation
'placeholder': False, # ???
'className': 'css-class-currency', # optional class name for cell
'defaultContent': '<h1>test</h1>', # ???
'width': 300, # optional: controls the minimum with of each single column
'choices': None, # see `Filtering single columns` below
'initialSearchValue': None, # see `Filtering single columns` below
'autofilter': False, # see `Filtering single columns` below
'boolean': False, # treat calculated column as BooleanField
'max_length': 0, # if > 0, clip result longer then max_length
'lookup_field': '__icontains', # used for searches; default: '__iexact' for columns with choices, '__icontains' in all other cases
}, {
...
Notes:
- **title**: if not supplied, the verbose name of the model column (when available)
or **name** will be used
- **width**: for this to be effective, you need to add **table-layout: fixed;** style
to the HTML table, but in some situations this causes problems in the computation
of the table columns' widths (at least in the current version 1.10.19 of Datatables.net)
Provide "extra data" to narrow down the initial queryset
Sometimes you might need to restrict the initial queryset based on the context.
To that purpose, you can provide a dictionary of additional filters during table initialization;
this dictionary will be sent to the View, where you can use it for queryset filtering.
Provide as many key as required; assign either constant values or callables.
The special keys 'date_from' and 'date_to' may be used to override values collected
by the optional global date range filter (format: 'YYYY-MM-DD').
class SampleAjaxDatatableView(AjaxDatatableView):
...
def get_initial_queryset(self, request=None):
if not request.user.is_authenticated:
raise PermissionDenied
# We accept either GET or POST
if not getattr(request, 'REQUEST', None):
request.REQUEST = request.GET if request.method=='GET' else request.POST
queryset = self.model.objects.all()
if 'client_id' in request.REQUEST:
client_id = int(request.REQUEST.get('client_id'))
queryset = queryset.filter(client_id=client_id)
return queryset
Add a sidebar with custom filters
Sometimes you need to provide complex or very specific filters to let the user control
the content of the table in an advanced manner.
In those cases, the global or column filters provided by AjaxDatatableView,
which are based on simple and
Still, you can easily add a sidebar with custom filters, and apply to them
the concepts explained in the previous paragraph (Provide "extra data" to narrow down the initial queryset_).
An example of this technique has been added to the Example project; the result
and a detailed explanation is presented here:
Sorting is managed the by the overridable method sort_queryset(), and fully
delegated to the database for better performances.
For each orderable column, the column name will be used, unless a sort_field
has been specified; in which case, the latter will be used instead.
Filtering single columns
DatatableView.show_column_filters (or DatatableView.get_show_column_filters(request))
defines whether to show specific filters for searchable columns as follows:
- None (default): show if at least one visible column in searchable
- True: always show
- False: always hide
By default, a column filter for a searchable column is rendered as a text input box;
you can instead provide a select box using the following attributes:
choices
None (default) or False: no choices (use text input box)
True: use Model's field choices;
failing that, we might use "autofilter"; that is: collect the list of distinct values from db table
or, for BooleanField columns, provide (None)/Yes/No choice sequence
calculated columns with attribute 'boolean'=True are treated as BooleanFields
((key1, value1), (key2, values), ...) : use supplied sequence of choices
autofilter
default = False
when set: if choices == True and no Model's field choices are available,
collects distinct values from db table (much like Excel "autofilter" feature)
For the first rendering of the table:
initialSearchValue
optional initial value for column filter
Note that initialSearchValue can be a value or a callable object.
If callable it will be called every time a new object is created.
Searching on multiple values can be obtained by assigning a "search value separator"
as in the following example::
search_values_separator = '+'
In this case, if the user inputs "aaa + bbb", the following search will be issued::
Q("aaa") | Q("bbb")
This works for text search on both global and columns filters.
TODO: test with dates, choices and autofilter.
Computed (placeholder) columns
You can insert placeholder columns in the table, and feed their content with
arbitrary HTML.
Example:
.. code:: python
@method_decorator(login_required, name='dispatch')
class RegisterAjaxDatatableView(AjaxDatatableView):
model = Register
title = _('Registers')
column_defs = [
{
'name': 'id',
'visible': False,
}, {
'name': 'created',
}, {
'name': 'dow',
'title': 'Day of week',
'placeholder': True,
'searchable': False,
'orderable': False,
'className': 'highlighted',
}, {
...
}
]
def customize_row(self, row, obj):
days = ['monday', 'tuesday', 'wednesday', 'thyrsday', 'friday', 'saturday', 'sunday']
if obj.created is not None:
row['dow'] = '<b>%s</b>' % days[obj.created.weekday()]
else:
row['dow'] = ''
return
.. image:: screenshots/003.png
Clipping results
Sometimes you might want to clip results up to a given maximum length, to control the column width.
This can be obtained by specifying a positive value for the max_length column_spec attribute.
Results will be clipped in both the column cells and in the column filter.
.. image:: screenshots/clipping_results.png
Clipped results are rendered as html text as follows:
.. code:: python
def render_clip_value_as_html(self, long_text, short_text, is_clipped):
"""
Given long and shor version of text, the following html representation:
<span title="long_text">short_text[ellipsis]</span>
To be overridden for further customisations.
"""
return '<span title="{long_text}">{short_text}{ellipsis}</span>'.format(
long_text=long_text,
short_text=short_text,
ellipsis='…' if is_clipped else ''
)
You can customise the rendering by overriding render_clip_value_as_html()
Receiving table events
The following table events are broadcasted to your custom handlers, provided
you subscribe them:
You can override it for further reducing the resulting list.
customize_row()
...............
Called every time a new data row is required by the client, to let you further
customize cell content
Example:
.. code:: python
def customize_row(self, row, obj):
# 'row' is a dictionary representing the current row, and 'obj' is the current object.
row['code'] = '<a class="client-status client-status-%s" href="https://github.com/morlandi/django-ajax-datatable/blob/master/%s">%s</a>' % (
obj.status,
reverse('frontend:client-detail', args=(obj.id,)),
obj.code
)
if obj.recipe is not None:
row['recipe'] = obj.recipe.display_as_tile() + ' ' + str(obj.recipe)
return
render_row_details()
....................
Renders an HTML fragment to show table row content in "detailed view" fashion,
as previously explained later in the Add row tools as first column section.
Having "pk" in your column_defs list is needed to have the script get the object to render.
Renders clipped results as html span tag, providing the non-clipped value as title:
.. code:: python
def render_clip_value_as_html(self, long_text, short_text, is_clipped):
"""
Given long and shor version of text, the following html representation:
<span title="long_text">short_text[ellipsis]</span>
To be overridden for further customisations.
"""
return '<span title="{long_text}">{short_text}{ellipsis}</span>'.format(
long_text=long_text,
short_text=short_text,
ellipsis='…' if is_clipped else ''
)
Override to customise the rendering of clipped cells.
Queryset optimization
As the purpose of this module is all about querysets rendering, any chance to optimize
data extractions from the database is more then appropriate.
Starting with v2.3.0, AjaxDatatableView tries to burst performances in two ways:
1) by using only <https://docs.djangoproject.com/en/2.2/ref/models/querysets/#only>_ to limit the number of columns in the result set
2) by using select_related <https://docs.djangoproject.com/en/2.2/ref/models/querysets/#only>_ to minimize the number of queries involved
The parameters passed to only() and select_related() are inferred from column_defs.
Should this cause any problem, you can disable queryset optimization in two ways:
globally: by activating the AJAX_DATATABLE_DISABLE_QUERYSET_OPTIMIZATION setting
per table: by setting to True the value of the disable_queryset_optimization attribute
Alternatively, you can selectively disable the only or select_related optimization with the following flags:
self.disable_queryset_optimization_only
self.disable_queryset_optimization_select_related
A real use case
(1) Plain queryset::
SELECT "tasks_devicetesttask"."id",
"tasks_devicetesttask"."description",
"tasks_devicetesttask"."created_on",
"tasks_devicetesttask"."created_by_id",
"tasks_devicetesttask"."started_on",
"tasks_devicetesttask"."completed_on",
"tasks_devicetesttask"."job_id",
"tasks_devicetesttask"."status",
"tasks_devicetesttask"."mode",
"tasks_devicetesttask"."failure_reason",
"tasks_devicetesttask"."progress",
"tasks_devicetesttask"."log_text",
"tasks_devicetesttask"."author",
"tasks_devicetesttask"."order",
"tasks_devicetesttask"."appliance_id",
"tasks_devicetesttask"."serial_number",
"tasks_devicetesttask"."program_id",
"tasks_devicetesttask"."position",
"tasks_devicetesttask"."hidden",
"tasks_devicetesttask"."is_duplicate",
"tasks_devicetesttask"."notes"
FROM "tasks_devicetesttask"
WHERE "tasks_devicetesttask"."hidden" = FALSE
ORDER BY "tasks_devicetesttask"."created_on" DESC
**[sql] (233ms) 203 queries with 182 duplicates**
(2) With select_related()::
SELECT "tasks_devicetesttask"."id",
"tasks_devicetesttask"."description",
"tasks_devicetesttask"."created_on",
"tasks_devicetesttask"."created_by_id",
"tasks_devicetesttask"."started_on",
"tasks_devicetesttask"."completed_on",
"tasks_devicetesttask"."job_id",
"tasks_devicetesttask"."status",
"tasks_devicetesttask"."mode",
"tasks_devicetesttask"."failure_reason",
"tasks_devicetesttask"."progress",
"tasks_devicetesttask"."log_text",
"tasks_devicetesttask"."author",
"tasks_devicetesttask"."order",
"tasks_devicetesttask"."appliance_id",
"tasks_devicetesttask"."serial_number",
"tasks_devicetesttask"."program_id",
"tasks_devicetesttask"."position",
"tasks_devicetesttask"."hidden",
"tasks_devicetesttask"."is_duplicate",
"tasks_devicetesttask"."notes",
"backend_appliance"."id",
"backend_appliance"."description",
"backend_appliance"."hidden",
"backend_appliance"."created",
"backend_appliance"."created_by_id",
"backend_appliance"."updated",
"backend_appliance"."updated_by_id",
"backend_appliance"."type",
"backend_appliance"."rotation",
"backend_appliance"."code",
"backend_appliance"."barcode",
"backend_appliance"."mechanical_efficiency_min",
"backend_appliance"."mechanical_efficiency_max",
"backend_appliance"."volumetric_efficiency_min",
"backend_appliance"."volumetric_efficiency_max",
"backend_appliance"."displacement",
"backend_appliance"."speed_min",
"backend_appliance"."speed_max",
"backend_appliance"."pressure_min",
"backend_appliance"."pressure_max",
"backend_appliance"."oil_temperature_min",
"backend_appliance"."oil_temperature_max",
"backend_program"."id",
"backend_program"."description",
"backend_program"."hidden",
"backend_program"."created",
"backend_program"."created_by_id",
"backend_program"."updated",
"backend_program"."updated_by_id",
"backend_program"."code",
"backend_program"."start_datetime",
"backend_program"."end_datetime",
"backend_program"."favourite"
FROM "tasks_devicetesttask"
LEFT OUTER JOIN "backend_appliance" ON ("tasks_devicetesttask"."appliance_id" = "backend_appliance"."id")
LEFT OUTER JOIN "backend_program" ON ("tasks_devicetesttask"."program_id" = "backend_program"."id")
WHERE "tasks_devicetesttask"."hidden" = FALSE
ORDER BY "tasks_devicetesttask"."created_on" DESC
**[sql] (38ms) 3 queries with 0 duplicates**
(3) With select_related() and only()::
SELECT "tasks_devicetesttask"."id",
"tasks_devicetesttask"."started_on",
"tasks_devicetesttask"."completed_on",
"tasks_devicetesttask"."status",
"tasks_devicetesttask"."failure_reason",
"tasks_devicetesttask"."author",
"tasks_devicetesttask"."order",
"tasks_devicetesttask"."appliance_id",
"tasks_devicetesttask"."serial_number",
"tasks_devicetesttask"."program_id",
"tasks_devicetesttask"."position",
"backend_appliance"."id",
"backend_appliance"."code",
"backend_program"."id",
"backend_program"."code"
FROM "tasks_devicetesttask"
LEFT OUTER JOIN "backend_appliance" ON ("tasks_devicetesttask"."appliance_id" = "backend_appliance"."id")
LEFT OUTER JOIN "backend_program" ON ("tasks_devicetesttask"."program_id" = "backend_program"."id")
WHERE "tasks_devicetesttask"."hidden" = FALSE
ORDER BY "tasks_devicetesttask"."created_on" DESC
**[sql] (19ms) 3 queries with 0 duplicates**
App settings
::
AJAX_DATATABLE_MAX_COLUMNS = 30
AJAX_DATATABLE_TRACE_COLUMNDEFS = False # enables debug tracing of applied column defs
AJAX_DATATABLE_TRACE_QUERYDICT = False # enables debug tracing of datatables requests
AJAX_DATATABLE_TRACE_QUERYSET = False # enables debug tracing of applied query
AJAX_DATATABLE_TEST_FILTERS = False # trace results for each individual filter, for debugging purposes
AJAX_DATATABLE_DISABLE_QUERYSET_OPTIMIZATION = False # all queryset optimizations are disabled
AJAX_DATATABLE_STRIP_HTML_TAGS = True # string HTML tags when rendering the table
More details
Add row tools as first column
You can insert AjaxDatatableView.render_row_tools_column_def() as the first element
in column_defs to obtain some tools at the beginning of each table row.
If full_row_select=true is specified as extra-option during table initialization,
row details can be toggled by clicking anywhere in the row.
datatables_views.py
.. code:: python
from django.contrib.auth.decorators import login_required
from django.utils.decorators import method_decorator
from ajax_datatable.views import AjaxDatatableView
from backend.models import Register
@method_decorator(login_required, name='dispatch')
class RegisterAjaxDatatableView(AjaxDatatableView):
model = Register
title = 'Registers'
column_defs = [
AjaxDatatableView.render_row_tools_column_def(),
{
'name': 'id',
'visible': False,
}, {
...
By default, these tools will provide an icon to show and hide a detailed view
below each table row.
The tools are rendered according to the template ajax_datatable/row_tools.html,
which can be overridden.
Row details are automatically collected via Ajax by calling again the views
with a specific ?action=details parameters, and will be rendered by the
method::
def render_row_details(self, pk, request=None)
which you can further customize when needed.
The default behaviour provided by the base class if shown below:
.. image:: screenshots/002.png
row details customization
The default implementation of render_row_details() tries to load a template
in the following order:
ajax_datatable///
ajax_datatable//
ajax_datatable/
(where the default value for is "render_row_details.html")
and, when found, uses it for rendering.
The template receives the following context::
html = template.render({
'model': self.model,
'model_admin': self.get_model_admin(),
'object': obj,
'extra_data': [extra_data dict retrieved from request]
}, request)
model_admin, when available, can be used to navigate fieldsets (if defined)
in the template, much like django's admin/change_form.html does.
If no template is available, a simple HTML table with all field values
is built instead.
In all cases, the resulting HTML will be wrapped in the following structure:
When a latest_by column has been specified and show_date_filter is active,
a global date range filtering widget is provided, based on jquery-ui.datepicker:
.. image:: screenshots/004a.png
The header of the column used for date filtering is decorated with the class
"latest_by"; you can use it to customize it's rendering.
You can fully replace the widget with your own by providing a custom fn_daterange_widget_initialize()
callback at Module's initialization, as in the following example, where we
use bootstrap.datepicker:
.. code:: html
AjaxDatatableViewUtils.init({
search_icon_html: '<i class="fa fa-search"></i>',
language: {
},
fn_daterange_widget_initialize: function(table, data) {
var wrapper = table.closest('.dataTables_wrapper');
var toolbar = wrapper.find(".toolbar");
toolbar.html(
'<div class="daterange" style="float: left; margin-right: 6px;">' +
'{% trans "From" %}: <input type="text" class="date_from" autocomplete="off">' +
' ' +
'{% trans "To" %}: <input type="text" class="date_to" autocomplete="off">' +
'</div>'
);
var date_pickers = toolbar.find('.date_from, .date_to');
date_pickers.datepicker();
date_pickers.on('change', function(event) {
// Annotate table with values retrieved from date widgets
var dt_from = toolbar.find('.date_from').data("datepicker");
var dt_to = toolbar.find('.date_to').data("datepicker");
table.data('date_from', dt_from ? dt_from.getFormattedDate("yyyy-mm-dd") : '');
table.data('date_to', dt_to ? dt_to.getFormattedDate("yyyy-mm-dd") : '');
// Redraw table
table.api().draw();
});
}
});
.. image:: screenshots/004b.png
Debugging
In case of errors, Datatables.net shows an alert popup:
.. image:: screenshots/006.png
You can change it to trace the error in the browser console, insted:
.. code:: javascript
// change DataTables' error reporting mechanism to throw a Javascript
// error to the browser's console, rather than alerting it.
$.fn.dataTable.ext.errMode = 'throw';
All details of Datatables.net requests can be logged to the console by activating
these setting::
The resulting query (before pagination) can be traced as well with::
AJAX_DATATABLE_TRACE_QUERYSET = True
Debugging traces for date range filtering, column filtering or global filtering can be displayed
by activating this setting::
AJAX_DATATABLE_TEST_FILTERS
.. image:: screenshots/007.png
Generic tables (advanced topic)
Chances are you might want to supply a standard user interface for listing
several models.
In this case, it is possible to use a generic approach and avoid code duplications,
as detailed below.
First, we supply a generic view which receives a model as parameter,
and passes it to the template used for rendering the page:
file frontend/datatables_views.py:
.. code:: python
@login_required
def object_list_view(request, model, template_name="frontend/pages/object_list.html"):
"""
Render the page which contains the table.
That will in turn invoke (via Ajax) object_datatable_view(), to fill the table content
"""
return render(request, template_name, {
'model': model,
})
In the urlconf, link to specific models as in the example below:
The template uses the model received in the context to display appropriate verbose_name
and verbose_name_plural attributes, and to extract app_label and model_name
as needed; unfortunately, we also had to supply some very basic helper templatetags,
as the _meta attribute of the model is not directly visible in this context.
.. code:: html
{% extends 'frontend/base.html' %}
{% load static datatables_view_tags i18n %}
{% block breadcrumbs %}
<li>
<a href="https://github.com/morlandi/django-ajax-datatable/blob/master/{% url 'frontend:index' %}">{% trans 'Home' %}</a>
</li>
<li class="active">
<strong>{{model|model_verbose_name_plural}}</strong>
</li>
{% endblock breadcrumbs %}
{% block content %}
{% testhasperm model 'view' as can_view_objects %}
{% if not can_view_objects %}
<h2>{% trans "Sorry, you don't have the permission to view these objects" %}</h2>
{% else %}
<div>
<h5>{% trans 'All' %} {{ model|model_verbose_name_plural }}</h5>
{% ifhasperm model 'add' %}
<a href="#">{% trans 'Add ...' %}</a>
{% endifhasperm %}
</div>
<div class="table-responsive">
<table id="datatable" width="100%" class="table table-striped table-bordered table-hover dataTables-example">
</table>
</div>
{% ifhasperm model 'add' %}
<a href="#">{% trans 'Add ...' %}</a>
{% endifhasperm %}
{% endif %}
{% endblock content %}
{% block extrajs %}
<script language="javascript">
$(document).ready(function() {
AjaxDatatableViewUtils.initialize_table(
$('#datatable'),
"{% url 'frontend:object-datatable' model|app_label model|model_name %}",
extra_option={},
extra_data={}
);
});
</script>
{% endblock %}
app_label and model_name are just strings, and as such can be specified in an url.
The connection with the Django backend uses the following generic url::
# List any Model
path('datatable/<str:app_label>/<str:model_name>/', datatables_views.object_datatable_view, name="object-datatable"),
object_datatable_view() is a lookup helper which navigates all AjaxDatatableView-derived
classes in the module and selects the view appropriate for the specific model
in use:
file frontend/datatables_views.py:
.. code:: python
import inspect
def object_datatable_view(request, app_label, model_name):
# List all AjaxDatatableView in this module
datatable_views = [
klass
for name, klass in inspect.getmembers(sys.modules[__name__])
if inspect.isclass(klass) and issubclass(klass, AjaxDatatableView)
]
# Scan AjaxDatatableView until we find the right one
for datatable_view in datatable_views:
model = datatable_view.model
if (model is not None and (model._meta.app_label, model._meta.model_name) == (app_label, model_name)):
view = datatable_view
break
return view.as_view()(request)
which for this example happens to be:
.. code:: python
@method_decorator(login_required, name='dispatch')
class ChannelAjaxDatatableView(BaseAjaxDatatableView):
model = Channel
title = 'Channels'
column_defs = [
AjaxDatatableView.render_row_tools_column_def(),
{
'name': 'id',
'visible': False,
}, {
'name': 'description',
}, {
'name': 'code',
}
]
Javascript Code Snippets
Workaround: Adjust the column widths of all visible tables
{% get_current_language as LANGUAGE_CODE %}
function onToggleQueueStatus(event) {
// The link is a table cell
event.preventDefault();
let td = $(event.target).closest('td');
// Retrieve the table row and the record id
let tr = td.closest('tr');
// Es: "row-692255dc-7eaa-4150-be19-a555a8b34188"
let row_id = tr.attr('id').substr(4);
// Call the server via AJAX to process the record
let url = sprintf('/{{LANGUAGE_CODE}}/j/product_order/%s/toggle_queue_status/', row_id);
FrontendForms.overlay_show(tr);
var promise = $.ajax({
type: 'POST',
url: url,
data: null,
cache: false,
crossDomain: false,
headers: {
'X-CSRFToken': FrontendForms.getCookie('csrftoken')
}
}).done(function(data, textStatus, jqXHR) {
//console.log('OK; data=%o', data);
}).fail(function(jqXHR, textStatus, errorThrown) {
console.log('ERROR: ' + jqXHR.responseText);
Frontend.display_server_error_ex(jqXHR);
}).always(function() {
// Since the record has been changed, we need to update the table row;
// Redraw the row holding the current paging position
let table = $(tr).closest('table.dataTable');
table.DataTable().row(tr).invalidate().draw(false);
});
return promise;
}
Another (very old) Example:
.. code:: javascript
var table = $(element).closest('table.dataTable');
var table_row_id = table.find('tr.shown').attr('id');
$.ajax({
type: 'POST',
url: ...
}).done(function(data, textStatus, jqXHR) {
table.DataTable().ajax.reload(null, false);
// Since we've update the record via Ajax, we need to redraw this table row
var tr = table.find('#' + table_row_id);
var row = table.DataTable().row(tr)
row.invalidate().draw();
// Hack: here we would like to enhance the updated row, by adding the 'updated' class;
// Since a callback is not available upon draw completion,
// let's use a timer to try later, and cross fingers
setTimeout(function() {
table.find('#' + table_row_id).addClass('updated');
}, 200);
setTimeout(function() {
table.find('#' + table_row_id).addClass('updated');
}, 1000);
});
change DataTables' error reporting mechanism
.. code:: javascript
// change DataTables' error reporting mechanism to throw a Javascript
// error to the browser's console, rather than alerting it.
$.fn.dataTable.ext.errMode = 'throw';
Since the list of table columns is controlled by the library, based on column_defs list
specified in the AjaxDatatableView class, you can't insert a custom column "javascript-side".
In the snippet above, we added an 'edit' column, customizing it's content via customize_row().
Note how we retrieved the object id from the "row-NNN" table row attribute in the "onclick" handler.
Customize row details by rendering prettified json fields
.. image:: screenshots/009.png
.. code:: python
import jsonfield
from ajax_datatable.views import AjaxDatatableView
from .utils import json_prettify
class MyAjaxDatatableView(AjaxDatatableView):
...
def render_row_details(self, pk, request=None):
obj = self.model.objects.get(pk=pk)
fields = [f for f in self.model._meta.get_fields() if f.concrete]
html = '<table class="row-details">'
for field in fields:
value = getattr(obj, field.name)
if isinstance(field, jsonfield.JSONField):
value = json_prettify(value)
html += '<tr><td>%s</td><td>%s</td></tr>' % (field.name, value)
html += '</table>'
return html
where:
.. code:: python
import json
from pygments import highlight
from pygments.lexers import JsonLexer
from pygments.formatters import HtmlFormatter
from django.utils.safestring import mark_safe
def json_prettify_styles():
"""
Used to generate Pygment styles (to be included in a .CSS file) as follows:
print(json_prettify_styles())
"""
formatter = HtmlFormatter(style='colorful')
return formatter.get_style_defs()
def json_prettify(json_data):
"""
Adapted from:
https://www.pydanny.com/pretty-formatting-json-django-admin.html
"""
# Get the Pygments formatter
formatter = HtmlFormatter(style='colorful')
# Highlight the data
json_text = highlight(
json.dumps(json_data, indent=2),
JsonLexer(),
formatter
)
# # remove leading and trailing brances
# json_text = json_text \
# .replace('<span class="p">{</span>\n', '') \
# .replace('<span class="p">}</span>\n', '')
# Get the stylesheet
#style = "<style>" + formatter.get_style_defs() + "</style>"
style = ''
# Safe the output
return mark_safe(style + json_text)
Change row color based on row content
.. image:: screenshots/010.png
First, we mark the relevant info with a specific CSS class, so we can search
for it later
This works even if the 'read' column we're interested in is actually not visible.
Modify table content on the fly (via ajax)
.. image:: screenshots/008.png
Row details customization:
.. code:: javascript
def render_row_details(self, pk, request=None):
obj = self.model.objects.get(pk=pk)
html = '<table class="row-details">'
html += "<tr><td>alarm status:</td><td>"
for choice in BaseTask.ALARM_STATUS_CHOICES:
# Lo stato corrente lo visualizziamo in grassetto
if choice[0] == obj.alarm:
html += '<b>%s</b> ' % (choice[1])
else:
# Se non "unalarmed", mostriamo i link per cambiare lo stato
# (tutti tranne "unalarmed")
if obj.alarm != BaseTask.ALARM_STATUS_UNALARMED and choice[0] != BaseTask.ALARM_STATUS_UNALARMED:
html += '<a class="set-alarm" href="#" onclick="set_row_alarm(this, \'%s\', %d); return false">%s</a> ' % (
str(obj.pk),
choice[0],
choice[1]
)
html += '</td></tr>'