django-rest-framework-sideloading | Django rest framework | REST library
kandi X-RAY | django-rest-framework-sideloading Summary
kandi X-RAY | django-rest-framework-sideloading Summary
DRF-sideloading is an extension to provide side-loading functionality of related resources. Side-loading allows related resources to be optionally included in a single API response minimizing requests to the API.
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Top functions reviewed by kandi - BETA
- Gather prefetches and source data sources
- Handles list methods .
- Overrides retrieve method .
- Gather all prefetches for each relationship .
- Return a dict representation of the model .
- Check that the Sideloadable fields
- Get the version string .
django-rest-framework-sideloading Key Features
django-rest-framework-sideloading Examples and Code Snippets
$ make test
$ make tox
$ tox --listenvs
py37-django22-drf39
py38-django31-drf311
py39-django32-drf312
# ...
$ tox -e py39-django32-drf312
$ make coverage
cd example
sh scripts/devsetup.sh
sh scripts/dev.sh
source /bin/activate
(myenv) $ pip install -r requirements_dev.txt
Community Discussions
Trending Discussions on REST
QUESTION
I am trying to upgrade to React Router v6 (react-router-dom 6.0.1
).
Here is my updated code:
...ANSWER
Answered 2022-Mar-18 at 18:41I think you should use the no match route approach.
Check this in the documentation.
https://reactrouter.com/docs/en/v6/getting-started/tutorial#adding-a-no-match-route
QUESTION
Per [intro.object]/2:
[..] An object that is not a subobject of any other object is called a complete object [..].
So consider this snippet of code:
...ANSWER
Answered 2022-Mar-21 at 00:32- An object is not a class.
- An object is an instantiation of a class, an array, or built-in-type.
- Subobjects are class member objects, array elements, or base classes of an object.
- Derived objects (and most-derived objects) only make sense in the context of class inheritance.
QUESTION
I was wondering if there was an easy solution to the the following problem. The problem here is that I want to keep every element occurring inside this list after the initial condition is true. The condition here being that I want to remove everything before the condition that a value is greater than 18 is true, but keep everything after. Example
Input:
...ANSWER
Answered 2022-Feb-05 at 19:59You can use itertools.dropwhile
:
QUESTION
I have run in to an odd problem after converting a bunch of my YAML pipelines to use templates for holding job logic as well as for defining my pipeline variables. The pipelines run perfectly fine, however I get a "Some recent issues detected related to pipeline trigger." warning at the top of the pipeline summary page and viewing details only states: "Configuring the trigger failed, edit and save the pipeline again."
The odd part here is that the pipeline works completely fine, including triggers. Nothing is broken and no further details are given about the supposed issue. I currently have YAML triggers overridden for the pipeline, but I did also define the same trigger in the YAML to see if that would help (it did not).
I'm looking for any ideas on what might be causing this or how I might be able to further troubleshoot it given the complete lack of detail that the error/warning provides. It's causing a lot of confusion among developers who think there might be a problem with their builds as a result of the warning.
Here is the main pipeline. the build repository is a shared repository for holding code that is used across multiple repos in the build system. dev.yaml contains dev environment specific variable values. Shared holds conditionally set variables based on the branch the pipeline is running on.
...ANSWER
Answered 2021-Aug-17 at 14:58I think I may have figured out the problem. It appears that this is related to the use of conditionals in the variable setup. While the variables will be set in any valid trigger configuration, it appears that the proper values are not used during validation and that may have been causing the problem. Switching my conditional variables to first set a default value and then replace the value conditionally seems to have fixed the problem.
It would be nice if Microsoft would give a more useful error message here, something to the extent of the values not being found for a given variable, but adding defaults does seem to have fixed the problem.
QUESTION
ANSWER
Answered 2022-Jan-02 at 08:18I don't think kendo provides any native solution for that but what I can suggest is to:
QUESTION
I got a large list of JSON objects that I want to parse depending on the start of one of the keys, and just wildcard the rest. A lot of the keys are similar, like "matchme-foo"
and "matchme-bar"
. There is a builtin wildcard, but it is only used for whole values, kinda like an else
.
I might be overlooking something but I can't find a solution anywhere in the proposal:
https://docs.python.org/3/whatsnew/3.10.html#pep-634-structural-pattern-matching
Also a bit more about it in PEP-636:
https://www.python.org/dev/peps/pep-0636/#going-to-the-cloud-mappings
My data looks like this:
...ANSWER
Answered 2021-Dec-17 at 10:43You can use a guard:
QUESTION
I need to navigate back to the original requested URL after login.
For example, user enters www.example.com/settings
as user is not authenticated, it will navigate to login page www.example.com/login
.
Once authenticated, it should navigate back to www.example.com/settings
automatically.
My original approach with react-router-dom
v5 is quite simple:
ANSWER
Answered 2021-Dec-15 at 05:41In react-router-dom
v6 rendering routes and handling redirects is quite different than in v5. Gone are custom route components, they are replaced with a wrapper component pattern.
v5 - Custom Route
Takes props and conditionally renders a Route
component with the route props passed through or a Redirect
component with route state holding the current location
.
QUESTION
I'm trying to test an API endpoint with a patch request to ensure it works.
I'm using APILiveServerTestCase
but can't seem to get the permissions required to patch the item. I created one user (adminuser
) who is a superadmin with access to everything and all permissions.
My test case looks like this:
...ANSWER
Answered 2021-Dec-11 at 07:34The test you have written is also testing the Django framework logic (ie: Django admin login). I recommend testing your own functionality, which occurs after login to the Django admin. Django's testing framework offers a helper for logging into the admin, client.login
. This allows you to focus on testing your own business logic/not need to maintain internal django authentication business logic tests, which may change release to release.
QUESTION
In this programming problem, the input is an n
×m
integer matrix. Typically, n
≈ 105 and m
≈ 10. The official solution (1606D, Tutorial) is quite imperative: it involves some matrix manipulation, precomputation and aggregation. For fun, I took it as an STUArray implementation exercise.
I have managed to implement it using STUArray, but still the program takes way more memory than permitted (256MB). Even when run locally, the maximum resident set size is >400 MB. On profiling, reading from stdin seems to be dominating the memory footprint:
Functions readv
and readv.readInt
, responsible for parsing integers and saving them into a 2D list, are taking around 50-70 MB, as opposed to around 16 MB = (106 integers) × (8 bytes per integer + 8 bytes per link).
Is there a hope I can get the total memory below 256 MB? I'm already using Text
package for input. Maybe I should avoid lists altogether and directly read integers from stdin to the array. How can we do that? Or, is the issue elsewhere?
ANSWER
Answered 2021-Dec-05 at 11:40Contrary to common belief Haskell is quite friendly with respect to problems like that. The real issue is that the array
library that comes with GHC is total garbage. Another big problem is that everyone is taught in Haskell to use lists where arrays should be used instead, which is usually one of the major sources of slow code and memory bloated programs. So, it is not surprising that GC takes a long time, it is because there is way too much stuff being allocation. Here is a run on the supplied input for the solution provided below:
QUESTION
I'm looking for a way to have all keys / values pair of a nested object.
(For the autocomplete of MongoDB dot notation key / value type)
...ANSWER
Answered 2021-Dec-02 at 09:30In order to achieve this goal we need to create permutation of all allowed paths. For example:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install django-rest-framework-sideloading
Install drf-sideloading: pip install drf-sideloading
Import SideloadableRelationsMixin: from drf_sideloading.mixins import SideloadableRelationsMixin
Write your SideLoadableSerializer: You need to define the primary serializer in the Meta data and can define prefetching rules. Also notice the many=True on the sideloadable relationships. from drf_sideloading.serializers import SideLoadableSerializer class ProductSideloadableSerializer(SideLoadableSerializer): products = ProductSerializer(many=True) categories = CategorySerializer(source="category", many=True) primary_suppliers = SupplierSerializer(source="primary_supplier", many=True) secondary_suppliers = SupplierSerializer(many=True) suppliers = SupplierSerializer(many=True) partners = PartnerSerializer(many=True) class Meta: primary = "products" prefetches = { "categories": "category", "primary_suppliers": "primary_supplier", "secondary_suppliers": "secondary_suppliers", "suppliers": { "primary_suppliers": "primary_supplier", "secondary_suppliers": "secondary_suppliers", }, "partners": "partners", }
Prefetches For fields where the source is provided or where the source matches the field name, prefetches are not strictly required Multiple prefetches can be added to a single sideloadable field, but when using Prefetch object check that they don't clash with prefetches made in the get_queryset() method from django.db.models import Prefetch prefetches = { "categories": "category", "primary_suppliers": ["primary_supplier", "primary_supplier__some_related_object"], "secondary_suppliers": Prefetch( lookup="secondary_suppliers", queryset=Supplier.objects.prefetch_related("some_related_object") ), "partners": Prefetch( lookup="partners", queryset=Partner.objects.select_related("some_related_object") ) } Multiple sources can be added to a field using a dict. Each key is a source_key that can be used to filter what sources should be sideloaded. The values set the source and prefetches for this source. Note that this prefetch reuses primary_supplier and secondary_suppliers if suppliers and primary_supplier or secondary_suppliers are sideloaded prefetches = { "primary_suppliers": "primary_supplier", "secondary_suppliers": "secondary_suppliers", "suppliers": { "primary_suppliers": "primary_supplier", "secondary_suppliers": "secondary_suppliers" } } Usage of Prefetch() objects is supported. Prefetch() objects can be used to filter a subset of some relations or just to prefetch or select complicated related objects In case there are prefetch conflicts, to_attr can be set but be aware that this prefetch will now be a duplicate of similar prefetches. prefetch conflicts can also come from prefetched made in the ViewSet.get_queryset() method. Note that this prefetch noes not reuse primary_supplier and secondary_suppliers if suppliers and primary_supplier or secondary_suppliers are sideloaded at the same time. from django.db.models import Prefetch prefetches = { "categories": "category", "primary_suppliers": "primary_supplier", "secondary_suppliers": "secondary_suppliers", "suppliers": { "primary_suppliers": Prefetch( lookup="secondary_suppliers", queryset=Supplier.objects.select_related("some_related_object"), to_attr="secondary_suppliers_with_preselected_relation" ), "secondary_suppliers": Prefetch( lookup="secondary_suppliers", queryset=Supplier.objects.filter(created_at__gt=pendulum.now().subtract(days=10)).order_by("created_at"), to_attr="latest_secondary_suppliers" ) }, }
Configure sideloading in ViewSet: Include SideloadableRelationsMixin mixin in ViewSet and define sideloading_serializer_class as shown in example below. Everything else stays just like a regular ViewSet. Since version 2.0.0 there are 3 new methods that allow to overwrite the serializer used based on the request version for example from drf_sideloading.mixins import SideloadableRelationsMixin class ProductViewSet(SideloadableRelationsMixin, viewsets.ModelViewSet): """ A simple ViewSet for viewing and editing products. """ queryset = Product.objects.all() serializer_class = ProductSerializer sideloading_serializer_class = ProductSideloadableSerializer def get_queryset(self): # Add prefetches for the viewset as normal return super().get_queryset().prefetch_related("created_by") def get_sideloading_serializer_class(self): # use a different sideloadable serializer for older version if self.request.version < "1.0.0": return OldProductSideloadableSerializer return super().get_sideloading_serializer_class() def get_sideloading_serializer(self, *args, **kwargs): # if modifications are required to the serializer initialization this method can be used. return super().get_sideloading_serializer(*args, **kwargs) def get_sideloading_serializer_context(self): # Extra context provided to the serializer class. return {"request": self.request, "format": self.format_kwarg, "view": self}
Enjoy your API with sideloading support Example request and response when fetching all possible values GET /api/products/?sideload=categories,partners,primary_suppliers,secondary_suppliers,suppliers,products { "products": [ { "id": 1, "name": "Product 1", "category": 1, "primary_supplier": 1, "secondary_suppliers": [2, 3], "partners": [1, 2, 3] } ], "categories": [ { "id": 1, "name": "Category1" } ], "primary_suppliers": [ { "id": 1, "name": "Supplier1" } ], "secondary_suppliers": [ { "id": 2, "name": "Supplier2" }, { "id": 3, "name": "Supplier3" } ], "suppliers": [ { "id": 1, "name": "Supplier1" }, { "id": 2, "name": "Supplier2" }, { "id": 3, "name": "Supplier3" } ], "partners": [ { "id": 1, "name": "Partner1" }, { "id": 2, "name": "Partner1" }, { "id": 3, "name": "Partner3" } ] } The user can also select what sources to load to Multi source fields. Leaving the selections empty or omitting the brackets will load all the prefetched sources. Example: GET /api/products/?sideload=suppliers[primary_suppliers] { "products": [ { "id": 1, "name": "Product 1", "category": 1, "primary_supplier": 1, "secondary_suppliers": [2, 3], "partners": [1, 2, 3] } ], "suppliers": [ { "id": 1, "name": "Supplier1" } ] }
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