Extract POST data and create a model object - Django - python

What I want to do: is do my get_initial() to create a Author object with defaults, then extract data from Post.
Conceptually, code does it right, but in reality initial doesnt return and object doesnt creates
```
class StartGame(PermissionRequiredMixin, CreateView):
model = Author```
fields = {'date_of_death'}
permission_required = 'catalog.can_mark_returned'
def get_initial(self,req):
initial = super(StartGame, self).get_initial()
initial = initial.copy()
return initial
def post(self, request, **kwargs):
bb_object = BigBlind.objects.create(bb_sum=request.POST.get('bigblind'))
bb_object.save()
return HttpResponseRedirect(reverse('catalog:index'))
If I delete my post method, my object creates fine, but I need to create BigBlind object too, I just dont get how to do it.
Or what should I read exactly.
Thanks

Dealed: created model in Post method, delete get_initial_data

Related

DRF , route a retrieve function to a post function

I have a Django rest framework API that gets a POST request and has a retrive method in the view.
I want that when the user presses the post button it will route the URL to the render created in the retrieve method of the view class.
code:
#views.py
class LocationInfoViewSet(ModelViewSet):
# Order all objects by id, reversed.
queryset = LocationInfo.objects.all().order_by('-id')
serializer_class = LocationInfoSerializer
def retrieve(self, request, *args, **kwargs):
"""
This method is used to get the last object created by the user and render a map associated with the
mission's name.
"""
data = self.queryset[0]
serialized_data = LocationInfoSerializer(data, many=False)
points = list(serialized_data.data.values())
assign_gdt1 = GeoPoint(lat=points[2], long=points[3])
assign_gdt2 = GeoPoint(lat=points[4], long=points[5])
assign_uav = GeoPoint(lat=points[6], long=points[7], elevation=points[-3])
# Geo locations from the POST request.
gdt1 = [assign_gdt1.get_lat(), assign_gdt1.get_long()]
gdt2 = [assign_gdt2.get_lat(), assign_gdt2.get_long()]
uav = [assign_uav.get_lat(), assign_uav.get_long(), assign_uav.get_elevation()]
mission_name = points[1]
try:
# Check if a file already exists in the DB.
HTMLFileInteractionWithDB.table = THREE_POINTS_TRINAGULATION
openfile = HTMLFileInteractionWithDB.return_file_from_db(mission_name=mission_name)
return render(request, openfile)
except:
# Create a new file if one does not exists.
# The main function Creates an HTML File to be rendered.
return render(request, main(gdt1, gdt2, uav,
gdt1_elev=assign_gdt1.get_elevation(),
gdt2_elev=assign_gdt2.get_elevation(),
mission_name=mission_name
)
)
mission name is a primary key, So to access to the retrieve method the user need to go to the URL line and write the mission name for the method to work.
So, how and where in my project (urls,view...) do I create this route.
Exmpale:
I'm a little confused as to the purpose of this view.
The retrieve method is correctly used when it is retrieving a specific object from the queryset list using the pk. IE, one of your LocationInfo objects. It's always a get request.
Your retrieve method is also missing the pk parameter, which is sometimes defaulted as None.
retrieve(self, request, pk=None)
If I were you, I'd create a completely separate view or viewset method/action for this.
Instead of using retrieve for this, we can create a completely new method:
from rest_framework.decorators import action
class LocationInfoViewSet(ModelViewSet):
# Order all objects by id, reversed.
queryset = LocationInfo.objects.all().order_by('-id')
serializer_class = LocationInfoSerializer
# {The rest of your methods, etc...}
#action(detail=False, methods=["post"])
def last_object_by_user(self, request, *args, **kwargs):
# your query to get the last object by your user
queryset = LocationInfo.objects.filter(created_by=request.user).latest()
# The rest of your code
This will create a new endpoint called /{name}/last_object_by_user/ that you can make post requests to.
You'd also notice that I've modified your queryset a bit. Your current queryset gives us the last LocationInfo created by any user. Did you create a field in LocationInfo that tracks who created that LocationInfo?
Here's the documentation for this: Marking extra actions for routing
Note: I did not test this code so if you copy-paste this, it might not work, but the idea is what's important.

Updating a nested Django object where if it the next object doesn't exist create a new one

So, I have two models a Template (QtnTemplate) and a Question (QtnQuestion). The template (QtnTemplate) has a manyToMany field of questions(qtn_template_questions). What I want to do is when my front end sends a PUT rest command with a template that has another new question added. It will take that data update the template since that new question doesn't exist it will create a new nested question in the backend.
In the Serializer for the template I have the following code:
from rest_framework import serializers
from .models import QtnTemplate
from qtn_question.models import QtnQuestion
from qtn_question.serializers import QtnQuestionSerializer
class QtnTemplateSerializer(serializers.ModelSerializer):
# qtn_template_questions = QtnQuestionSerializer(many=True, read_only=False)
class Meta:
model = QtnTemplate
fields = ('id',
'qtn_template_name',
'qtn_template_create_date',
'qtn_template_question_order',
'qtn_template_questions')
depth = 1
# This is supposed to check to see if a questionId is already set in the underlying template
# if it isn't already set then create a new one
def update(self, instance, validated_data):
questions = self.data['qtn_template_questions']
for quest in questions:
questionId = quest.pop('id')
questString = quest.pop('qtn_question_question_string')
if questionId is None:
QtnQuestion.objects.create(qtn_question_question_string=quest.pop('qtn_question_question_string'),
qtn_question_ui_id=quest.pop('qtn_question_ui_id'),
qtn_question_risk_weight=quest.pop('qtn_question_risk_weight'),
qtn_question_is_selected=quest.pop('qtn_question_is_selected'),
qtn_question_setting=quest.pop('qtn_question_setting'),
qtn_question_answer_type=pop('quest.qtn_question_answer_type'))
instance.save()
return instance
def to_representation(self, value):
data = super().to_representation(value)
serializer = QtnQuestionSerializer(value.qtn_template_questions, many=True)
data['qtn_template_questions'] = serializer.data
return data
def to_internal_value(self, data):
self.fields['qtn_template_questions'] = serializers.PrimaryKeyRelatedField(many=True,
read_only=False, queryset=QtnQuestion.objects.all())
return super(QtnTemplateSerializer, self).to_internal_value(data)
So right now I'm able to pull the data but when I do a post to update the template object and add a question I get the following error:
{"qtn_template_questions":["Incorrect type. Expected pk value, received dict."]}
Can anyone point me in the correct direction here?
django [signals][1]
[1]: https://docs.djangoproject.com/en/3.0/ref/signals/ is what you are looking for.
I was able to solve this with this open source lib: https://github.com/beda-software/drf-writable-nested

How to manually populate a relational model in Django REST

I'm still new to Django and DRF. I have 2 models (Policy and Rescue) and Rescue is related to Policy by the Foreign Key policy_id. I have no issue to POST a JSON message and get Policy populated with the request data by CreateView. However, the 2nd model Rescue needs be populated based on some calculations from the JSON data POSTed to the Policy. Rescue cannot be POSTed beforehand. I tried hard but had no clue to do so.
Is this something to do with nested serializer or something else?
I've tried to
Can I try this way: inside the class CreateView:
class CreateView(generics.CreateAPIView):
def create(self, request, *args, **kwargs):
my_serializer = self.get_serializer(data=request.data)
...
# get a policy object based on 'policy_id' against serializer
my_policy = Policy.objects.get(policy_id=my_serializer.data['policy_id'])
...
... # some calculations to work out a rescue id, and will be returned and saved.
Rescue.objects.create(rescue_id='QD1234', policy=my_policy)
you can use a generic CreateAPIView and override the perform_create method.
def perform_create(self, serializer):
my_policy = serializer.save()
# you custom calculation for rescue_id
rescue_obj = Rescue.objects.create(rescue_id='QD1234', policy=my_policy)
perform create method is documented here: https://www.django-rest-framework.org/api-guide/generic-views/#methods

Django Rest Framework partial update

I'm trying to implement partial_update with Django Rest Framework but I need some clarification because I'm stuck.
Why do we need to specify partial=True?
In my understanding, we could easily update Demo object inside of partial_update method. What is the purpose of this?
What is inside of serialized variable?
What is inside of serialized variable in partial_update method? Is that a Demo object? What function is called behind the scenes?
How would one finish the implementation here?
Viewset
class DemoViewSet(viewsets.ModelViewSet):
serializer_class = DemoSerializer
def partial_update(self, request, pk=None):
serialized = DemoSerializer(request.user, data=request.data, partial=True)
return Response(status=status.HTTP_202_ACCEPTED)
Serializer
class DemoSerializer(serializers.ModelSerializer):
class Meta:
model = Demo
fields = '__all__'
def update(self, instance, validated_data):
print 'this - here'
demo = Demo.objects.get(pk=instance.id)
Demo.objects.filter(pk=instance.id)\
.update(**validated_data)
return demo
I when digging into the source code of rest_framework and got the following findings:
For question 1. Why do we need to specify partial=True?
This question is related to HTTP verbs.
PUT: The PUT method replaces all current representations of the target resource with the request payload.
PATCH: The PATCH method is used to apply partial modifications to a resource.
Generally speaking, partial is used to check whether the fields in the model is needed to do field validation when client submitting data to the view.
For example, we have a Book model like this, pls note both of the name and author_name fields are mandatory (not null & not blank).
class Book(models.Model):
name = models.CharField('name of the book', max_length=100)
author_name = models.CharField('the name of the author', max_length=50)
# Create a new instance for testing
Book.objects.create(name='Python in a nut shell', author_name='Alex Martelli')
For some scenarios, we may only need to update part of the fields in the model, e.g., we only need to update name field in the Book. So for this case, client will only submit the name field with new value to the view. The data submit from the client may look like this:
{"pk": 1, name: "PYTHON IN A NUT SHELL"}
But you may have notice that our model definition does not allow author_name to be blank. So we have to use partial_update instead of update. So the rest framework will not perform field validation check for the fields which is missing in the request data.
For testing purpose, you can create two views for both update and partial_update, and you will get more understanding what I just said.
Example:
views.py
from rest_framework.generics import GenericAPIView
from rest_framework.mixins import UpdateModelMixin
from rest_framework.viewsets import ModelViewSet
from rest_framework import serializers
class BookSerializer(serializers.ModelSerializer):
class Meta:
model = Book
class BookUpdateView(GenericAPIView, UpdateModelMixin):
'''
Book update API, need to submit both `name` and `author_name` fields
At the same time, or django will prevent to do update for field missing
'''
queryset = Book.objects.all()
serializer_class = BookSerializer
def put(self, request, *args, **kwargs):
return self.update(request, *args, **kwargs)
class BookPartialUpdateView(GenericAPIView, UpdateModelMixin):
'''
You just need to provide the field which is to be modified.
'''
queryset = Book.objects.all()
serializer_class = BookSerializer
def put(self, request, *args, **kwargs):
return self.partial_update(request, *args, **kwargs)
urls.py
urlpatterns = patterns('',
url(r'^book/update/(?P<pk>\d+)/$', BookUpdateView.as_view(), name='book_update'),
url(r'^book/update-partial/(?P<pk>\d+)/$', BookPartialUpdateView.as_view(), name='book_partial_update'),
)
Data to submit
{"pk": 1, name: "PYTHON IN A NUT SHELL"}
When you submit the above json to the /book/update/1/, you will got the following error with HTTP_STATUS_CODE=400:
{
"author_name": [
"This field is required."
]
}
But when you submit the above json to /book/update-partial/1/, you will got HTTP_STATUS_CODE=200 with following response,
{
"id": 1,
"name": "PYTHON IN A NUT SHELL",
"author_name": "Alex Martelli"
}
For question 2. What is inside of serialized variable?
serialized is a object wrapping the model instance as a serialisable object. and you can use this serialized to generate a plain JSON string with serialized.data .
For question 3. How would one finish the implementation here?
I think you can answer yourself when you have read the answer above, and you should have known when to use update and when to used partial_update.
If you still have any question, feel free to ask. I just read part of the source code of the rest framework, and may have not understand very deeply for some terms, and please point it out when it is wrong...
For partial update - PATCH http method
For full update - PUT http method
When doing an update with DRF, you are supposed to send request data that includes values for all (required) fields. This is at least the case when the request is via the PUT http method. From what I understand, you want to update one or at least not all model instance fields. In this case make a request with the PATCH http method. Django rest framework (DRF) will take care of it out of the box.
Example (with token auth):
curl -i -X PATCH -d '{"name":"my favorite banana"}' -H "Content-Type: application/json" -H 'Authorization: Token <some token>' http://localhost:8000/bananas/
So simple, just override init method of your serializer like that:
def __init__(self, *args, **kwargs):
kwargs['partial'] = True
super(DemoSerializer, self).__init__(*args, **kwargs)
Just a quick note as it seems that nobody has already pointed this out:
serialized = DemoSerializer(request.user, data=request.data, partial=True)
The first argument of DemoSerializer should be a Demo instance, not a user (at least if you use DRF 3.6.2 like me).
I don't know what you are trying to do, but this is a working example:
def partial_update(self, request, *args, **kwargs):
response_with_updated_instance = super(DemoViewSet, self).partial_update(request, *args, **kwargs)
Demo.objects.my_func(request.user, self.get_object())
return response_with_updated_instance
I do the partial update and then I do other things calling my_func and passing the current user and the demo instance already updated.
Hope this helps.
I had an issue where my multi-attribute/field validation in a rest_framework serializer was working with a POST /resources/ request but failing with a PATCH /resources/ request. It failed in the PATCH case because it was only looking for values in the supplied attrs dict and not falling back to values in self.instance. Adding a method get_attr_or_default to do that fallback seems to have worked:
class EmailSerializer(serializers.ModelSerializer):
def get_attr_or_default(self, attr, attrs, default=''):
"""Return the value of key ``attr`` in the dict ``attrs``; if that is
not present, return the value of the attribute ``attr`` in
``self.instance``; otherwise return ``default``.
"""
return attrs.get(attr, getattr(self.instance, attr, ''))
def validate(self, attrs):
"""Ensure that either a) there is a body or b) there is a valid template
reference and template context.
"""
existing_body = self.get_attr_or_default('body', attrs).strip()
if existing_body:
return attrs
template = self.get_attr_or_default('template', attrs)
templatecontext = self.get_attr_or_default('templatecontext', attrs)
if template and templatecontext:
try:
render_template(template.data, templatecontext)
return attrs
except TemplateRendererException as err:
raise serializers.ValidationError(str(err))
raise serializers.ValidationError(NO_BODY_OR_TEMPLATE_ERROR_MSG)
I don't know why, but for me, the only way to solve it was to override the validate method in the Serializer class.
Maybe it's related to the fact that I'm using MongoDB with Djongo
class DemoSerializer(serializers.ModelSerializer):
def validate(self, attrs):
self._kwargs["partial"] = True
return super().validate(attrs)
You forgot serializer.save()
You can finish it the following way . . .
class DemoViewSet(viewsets.ModelViewSet):
serializer_class = DemoSerializer
def partial_update(self, request, pk=None):
serializer = DemoSerializer(request.user, data=request.data, partial=True)
serializer.save()
serializer.is_valid(raise_exception=True)
return Response(serializer.data)
Also, you shouldn't need to override the update method in the serializer.

Custom function which performs create and update on DRF modelViewSet

Hi there I want to create a custom method in a modelviewset which needs to perform a save and an update logic in a single post request.
Here is my breeding.viewsets.py
class BreedingViewSet(viewsets.ModelViewSet):
queryset = Breeding.objects.all()
serializer_class = BreedingSerializer
Since the above method has a higher level of abstraction and is
actually providing or performing automatic CRUD functions.
Now the problem here is i dont have any control for a multiple queries like saving an object and updating another object in a single post request.
e.g
def save_and_update(self, request):
// do save an object here.
// do update an object here.
How can we achieve such powerful functionalities? Did i missed something? I found this documentation but i dont know how to implement the given instruction.
UPDATE
This is what im looking for How do I create multiple model instances with Django Rest Framework?
But the answer can only save a multiple instances in a single post request of that same model. But Im hoping also that we can perform queries for a different models in that single function.
Well, from the comments, it looks like you want to update some unrelated model when you create your breeding model. This should be easy.
class BreedingViewSet(viewsets.ModelViewSet):
queryset = Breeding.objects.all()
serializer_class = BreedingSerializer
def create(self, request):
# do your thing here
return super().create(request)
Use this to create or update using POST
class BreedingViewSet(viewsets.ModelViewSet):
queryset = Breeding.objects.all()
serializer_class = BreedingSerializer
def get_object(self):
if self.action == 'create':
queryset = self.filter_queryset(self.get_queryset())
filter_kwargs = {self.lookup_field: self.request.data.get('id')}
obj = get_object(queryset, **filter_kwargs)
self.check_object_permissions(self.request, obj)
return obj
else:
return super(BreedingViewSet, self).get_object()
def create(self, request, *args, **kwargs):
if request.data.get('id'):
return super(BreedingViewSet, self).update(request, *args, **kwargs)
else:
return super(BreedingViewSet, self).create(request, *args, **kwargs)

Categories

Resources