# django-custom-table
## Overview
Django Custom Table is a framework for building the back end to a no-code platform in Django or for adding no-code customizible tables to a Django application.
## Installation
Install using `pip`
```sh
pip install django-custom-table
```
or clone the project from github
```sh
git clone https://github.com/warrenwestfall/django-custom-table
```
Add `custom_table` to your `INSTALLED_APPS` setting.
```Python
INSTALLED_APPS = [
...
'custom_table',
]
```
## Example Usage
1. First create a metadata model. This model will store all of the customizations users make to customizable tables. The model stores the app label and model name of the custom table model being customized, so you can have only one metadata model for mutlple customizable table models.
Edit or create an app's `models.py` module
```python
from custom_table.models import Metadata
from custom_table.formats import DefaultFormat
class MyMetadata(Metadata):
created = models.DateTimeField('Created', auto_now_add=True, db_index=True)
modified = models.DateTimeField('Modified', auto_now=True)
class Meta:
ct_format_class = DefaultFormat()
```
Your metadata model will need to inherit from `custom_table.models.Metadata` and provide a format class (as the `ct_format_class` meta attribute) that tells Django Custom Table how customazaton metadata will be stored and how to format the metadata for use in form and list renderng. How to build your own format class is decribribed later. This example adds some additional audit trail fields.
1. Next create one or more customzable models.
Create a new customizable model or edit and existing one to make it customizable
```python
from django.db import models
from custom_table.models import CustomizableMeta, CustomizableMixin
STORAGE_FIELDS = {
"indexed_char": {
"num_to_create": 10,
"field_class": models.CharField,
"field_class_params": {
"max_length": 128,
"db_index": True,
},
},
"char": {
"num_to_create": 30,
"field_class": models.CharField,
"field_class_params": {
"max_length": 128,
},
},
"indexed_integer": {
"num_to_create": 20,
"field_class": models.IntegerField,
"field_class_params": {
"db_index": True,
},
},
"integer": {
"num_to_create": 20,
"field_class": models.IntegerField,
"field_class_params": {},
},
"text": {
"num_to_create": 30,
"field_class": models.TextField,
"field_class_params": {},
},
"float": {
"num_to_create": 10,
"field_class": models.FloatField,
"field_class_params": {},
},
"boolean": {
"num_to_create": 10,
"field_class": models.BooleanField,
"field_class_params": {},
},
"datetime": {
"num_to_create": 10,
"field_class": models.DateTimeField,
"field_class_params": {},
},
"decimal-1000-2": {
"num_to_create": 10,
"field_class": models.DecimalField,
"field_class_params": {
"max_digits": 1000,
"decimal_places": 2,
},
},
}
class MyCustomTable(models.Model, CustomizableMixin, metaclass=CustomizableMeta):
created = models.DateTimeField('Created', auto_now_add=True, db_index=True)
modified = models.DateTimeField('Modified', auto_now=True)
example_static_field = models.CharField('Example Static Field', max_length=32)
class Meta:
ct_metadata_model = MyMetadata
ct_storage_fields = STORAGE_FIELDS
ct_db_field_prefix = 'ctf_'
```
Set `custom_table.models.CustomizableMeta` as the metaclass and provide a `ct_storage_fields` meta attribute, a dictionary describing how to generate storage fields and how to map your users custom fields to storage fields. Also it is best to provide `ct_db_field_prefix` with a string to prefix to all storage field names and prevent conflicts with ant static fields in your model.
1. If you require your own form and/or list metadata formats you can create your own metadata format class
```python
from custom_table.formats import BaseFormat
class RestSpaFormat(BaseFormat):
""" Format metadata for use in a Single Page App with a REST back end
and a Javascript front end.
Form metadate follows react-jsonschema-form
"""
def get_custom_fields(self, metadata):
""" Must return a list of dictionaries containing field_name and field_type
[
{
"name": "example_field_name",
"type": "char"
},
]
Overide this in order to store the metadata in the custom_data field
in a different format than what is expected by Metadata.save().
This is used by the metadata model to calculate storage mappings
In this example we will assume that our apllication stores the metadata
in the expected format above.
"""
return metadata.custom_data
def get_list_metadata(self, metadata):
""" Should return the metadata required for a Django or front end view
to render a grid or list.
Overide this to produce output required by your appication
If it is desired that the list view be entirely dynamic that method
should combine both static Django fields and custom fields.
In this example we include static Django fields and convert them to
dictionary/json objects. We also add some simplication of the type
to combine types that are stored differently but rendered the same.
"""
all_fields = self.get_all_fields(metadata)
# print(all_fields)
list_metadata = []
for field in all_fields:
type = field['type']
if type.startswith('indexed_'):
type = type[8:]
list_field = {
'name': field['name'],
'type': type,
}
if 'list' in field:
for list_property, value in field['list'].items():
list_field[list_property] = value
list_metadata.append(list_field)
return list_metadata
def get_form_metadata(self, metadata):
""" Should return the metadata required for a Django or front end view
to render a form.
Overide this to produce output required by your appication
If it is desired that the form view be entirely dynamic that method
should combine both static Django fields and custom fields.
In this example we include static Django fields and
output from metadata in a format that should work with
react-jsonschema-form
"""
all_fields = self.get_all_fields(metadata)
form_metadata = {
'title': metadata.title,
'type': 'object',
'properties': {},
}
for field in all_fields:
properties = {
'type': field['type'],
}
if field['type'] in ('indexed_char', 'char', 'text',):
properties['type'] = 'string'
if field['typethon'] in ('indexed_integer', 'integer',):
properties['type'] = 'integer'
if field['type'] == 'float':
properties['type'] = 'number'
if field['type'] == 'datetime':
properties['type'] = 'string'
properties['format'] = 'date-time'
if field['type'].startswith('decimal'):
# _, max_digits, decimal_places = field['type'].split('_')
properties['type'] = 'string'
properties['format'] = field['type']
if 'form' in field:
for form_property, value in field['form'].items():
properties[snake_to_camel(form_property)] = value
form_metadata['properties'][field['name']] = properties
return form_metadata
```
The above example is taken from the built in django-custom-table formats and can be used as is as follows
```python
from custom_table.formats import RestSpaFormat
```
1. When creating views, you can use the Django Custom table base view classes that have helper methods for reading and writing using customizable models.
This how a view for a rest web service might look.
In a `views.py`
```Python
class RestMetadataListView(BaseMetadataView):
metadata_model=RestSpaFormatMetadata
include_metadata=True
def get(self, request):
return JsonResponse(self.get_list(), safe=False)
def post(self, request):
new_record = self.create(json.loads(request.body))
return JsonResponse({'pk': new_record.pk}, status=201)
class RestMetadataDetailView(BaseMetadataView):
metadata_model=RestSpaFormatMetadata
include_metadata=True
always_update_fields = ['modified']
def get(self, request, name_or_pk):
return JsonResponse(self.get_detail(name_or_pk), safe=False)
def patch(self, request, name_or_pk):
self.update_fields(name_or_pk, json.loads(request.body))
return HttpResponse(status=202)
def delete(self, request, name_or_pk):
self.delete_record(name_or_pk)
return HttpResponse(status=204)
```
In a `urls.py`
```Python
rest_urlpatterns = [
path('metadata/', RestMetadataListView.as_view()),
path('metadata/<str:name_or_pk>/', RestMetadataDetailView.as_view()),
path('data/<str:name>/', RestCustomTableListView.as_view(),
path('data/<str:name>/<int:pk>/', RestCustomTableDetailView.as_view(),
]
html_urlpatterns = [
path('<str:name>/', HtmlCustomTableListView.as_view()),
path('<str:name>/<int:pk>/', HtmlCustomTableDetailView.as_view()),
]
urlpatterns = [
path('admin/', admin.site.urls),
path('rest/', include(rest_urlpatterns)),
path('html/', include(html_urlpatterns)),
]
```
`metadata_model` tells the view what metadata model to use to discover and render all customizations
`include_metadata` is used to tell the view to always include metadata in calls to `get_list()` and `get_detail()`
`always_update_fields` tells the view what additional fields tell Django to update in the `save()` method called in `update_fields()`