From a Django app, I am able to consume data from a separate Restful API, but what about filtering? Below returns all books and its data. But what if I want to grab only books by an author, date, etc.? I want to pass an author's name parameter, e.g. .../authors-name or /?author=name and return only those in the json response. Is this possible?
views.py
def get_books(request):
response = requests.get('http://localhost:8090/book/list/').json()
return render(request, 'books.html', {'response':response})
So is there a way to filter like a model object?
I can think of three ways of doing this:
Python's filter could be used with a bit of additional code.
QueryableList, which is the closest to an ORM for lists I've seen.
query-filter, which takes a more functional approach.
1. Build-in filter function
You can write a function that returns functions that tell you whether a list element is a match and the pass the generated function into filter.
def filter_pred_factory(**kwargs):
def predicate(item):
for key, value in kwargs.items():
if key not in item or item[key] != value:
return False
return True
return predicate
def get_books(request):
books_data = requests.get('http://localhost:8090/book/list/').json()
pred = filter_pred_factory(**request.GET)
data_filter = filter(pred, books_data)
# data_filter is cast to a list as a precaution
# because it is a filter object,
# which can only be iterated through once before it's exhausted.
filtered_data = list(data_filter)
return render(request, 'books.html', {'books': filtered_data})
2. QueryableList
QueryableList would achieve the same as the above, with some extra features. As well as /books?isbn=1933988673, you could use queries like /books?longDescription__icontains=linux. You can find other functionality here
from QueryableList import QueryableListDicts
def get_books(request):
books_data = requests.get('http://localhost:8090/book/list/').json()
queryable_books = QueryableListDicts(books_data)
filtered_data = queryable_books.filter(**request.GET)
return render(request, 'books.html', {'books':filtered_data})
3. query-filter
query-filter has similar features but doesn't copy the object-orient approach of an ORM.
from query_filter import q_filter, q_items
def get_books(request):
books_data = requests.get('http://localhost:8090/book/list/').json()
data_filter = q_filter(books_data, q_items(**request.GET))
# filtered_data is cast to a list as a precaution
# because q_filter returns a filter object,
# which can only be iterated through once before it's exhausted.
filtered_data = list(data_filter)
return render(request, 'books.html', {'books': filtered_data})
It's worth mentioning that I wrote query-filter.
Related
The following code goes over the 10 pages of JSON returned by GET request to the URL.
and checks how many records satisfy the condition that bloodPressureDiastole is between the specified limits. It does the job, but I was wondering if there was a better or cleaner way to achieve this in python
import urllib.request
import urllib.parse
import json
baseUrl = 'https://jsonmock.hackerrank.com/api/medical_records?page='
count = 0
for i in range(1, 11):
url = baseUrl+str(i)
f = urllib.request.urlopen(url)
response = f.read().decode('utf-8')
response = json.loads(response)
lowerlimit = 110
upperlimit = 120
for elem in response['data']:
bd = elem['vitals']['bloodPressureDiastole']
if bd >= lowerlimit and bd <= upperlimit:
count = count+1
print(count)
There is no access through fields to json content because you get dict object from json.loads (see translation scheme here). It realises access via __getitem__ method (dict[key]) instead of __getattr__ (object.field) as keys may be any hashible objects not only strings. Moreover, even strings cannot serve as fields if they starts with digits or are the same with built-in dictionary methods.
Despite this, you can define your own custom class realising desired behavior with acceptable key names. json.loads has an argument object_hook wherein you may put any callable object (function or class) that take a dict as the sole argument (not only the resulted one but every one in json recursively) & return something as the result. If your jsons match some template, you can define a class with predefined fields for the json content & even with methods in order to get a robust Python-object, a part of your domain logic.
For instance, let's realise the access through fields. I get json content from response.json method from requests but it has the same arguments as in json package. Comments in code contain remarks about how to make your code more pythonic.
from collections import Counter
from requests import get
class CustomJSON(dict):
def __getattr__(self, key):
return self[key]
def __setattr__(self, key, value):
self[key] = value
LOWER_LIMIT = 110 # Constants should be in uppercase.
UPPER_LIMIT = 120
base_url = 'https://jsonmock.hackerrank.com/api/medical_records'
# It is better use special tools for handling URLs
# in order to evade possible exceptions in the future.
# By the way, your option could look clearer with f-strings
# that can put values from variables (not only) in-place:
# url = f'https://jsonmock.hackerrank.com/api/medical_records?page={i}'
counter = Counter(normal_pressure=0)
# It might be left as it was. This option is useful
# in case of additional counting any other information.
for page_number in range(1, 11):
records = get(
base_url, data={"page": page_number}
).json(object_hook=CustomJSON)
# Python has a pile of libraries for handling url requests & responses.
# urllib is a standard library rewritten from scratch for Python 3.
# However, there is a more featured (connection pooling, redirections, proxi,
# SSL verification &c.) & convenient third-party
# (this is the only disadvantage) library: urllib3.
# Based on it, requests provides an easier, more convenient & friendlier way
# to work with url-requests. So I highly recommend using it
# unless you are aiming for complex connections & url-processing.
for elem in records.data:
if LOWER_LIMIT <= elem.vitals.bloodPressureDiastole <= UPPER_LIMIT:
counter["normal_pressure"] += 1
print(counter)
I am trying to use two tables inside one django query. But my query is resulting as "invalid JSON" format.
I want to filter data in Request table by (status="Aprv"). The Request table contains attributes 'from_id' and 'to_id'.
The uid is the id of the user who is currently logged in.
If the current user(uid) is having the 'from_id' of Requests table, the query should return data of 'to_id' from the 'RegUsers' table.
If the current user(uid) is having the 'to_id' of Requests table, the query should return data of 'from_id' from the 'RegUsers' table.
class frnds(APIView):
def post(self, request):
uid = request.data['uid']
ob = Requests.objects.filter(status="Aprv")
fid = ob.value('from_id')
tid = ob.value('to_id')
if fid == uid:
obj = RegUsers.objects.filter(u_id=tid)
else:
obj = RegUsers.objects.filter(u_id=fid)
ser = android_serialiser(obj, many=True)
return Response(ser.data)
I don't want to use foreign keys.
Please Do Help me Correct the syntax.
The error message
You may need to serialize your data to JSON using Django's serializer first:
serializers.serialize('json', obj)
note that you need to import the serializers first from django core
from django.core import serializers
To avoid using JSON serializing in every request I can recommend you to take a look on Parsers on official Django site
https://www.django-rest-framework.org/api-guide/parsers/
I was coding the backend using Django. I am a beginner in Django. I used a filter to filter some post requests from the HTML form. here is the code.
#api_view(["POST"])
def program_search(request):
Data_List = []
MyFilter = CreateProgram.objects.filter(price__lte=request.POST['price'],
days=request.POST['days']).values()
...
but if I send a request from HTML form that one field of data be null the filter function cant handle it.
I hope you can make use of a simple if... clause to handle the situation
#api_view(["POST"])
def program_search(request):
price = request.POST.get('price')
days = request.POST.get("days")
if price and days:
qs = CreateProgram.objects.filter(price__lte=price, days=days)
else:
# in case of empty filter params from HTML, return empty QuerySet
qs = CreateProgram.objects.none()
# `qs` variable holds your result
I have this view
def view_involved_people(request):
schedule = request.POST['schedule']
query = Schedule.objects.get(pk=schedule)
serialized = serializers.serialize('json', query)
data = {'people': serialized}
return JsonResponse(data)
It displays that the object is not iterable. I think it is because I am only getting one instance of the object. However, how can I prevent this error and get this data from the view?
I have tried using .filter() but when I call data.attribute_name, it does not display the value
You have to use filter in you case:
def view_involved_people(request):
schedule = request.POST['schedule']
query = Schedule.objects.filter(pk=schedule)
serialized = serializers.serialize('json', query)
data = {'people': serialized}
return JsonResponse(data)
This code seems to work fine when I used Django console and just print it.
reference = FloodHazard.objects.filter(hazard='High')
ids = reference.values_list('id', flat=True)
for myid in ids:
getgeom = FloodHazard.objects.get(id=myid).geom
response = BuildingStructure.objects.filter(geom__intersects=getgeom).values(
'brgy_locat').annotate(counthigh=Count('brgy_locat'))
print response
I was able to show all the values, but when using HttpResponse, it returns an empty set. What is the proper way of returning JSON data from a queryset? So far, tried this:
reference = FloodHazard.objects.filter(hazard='High')
ids = reference.values_list('id', flat=True)
response = {}
for myid in ids:
getgeom = FloodHazard.objects.get(id=myid).geom
response['high'] = BuildingStructure.objects.filter(geom__intersects=getgeom).values(
'brgy_locat').annotate(counthigh=Count('brgy_locat'))
json_post = ujson.dumps(list(response))
return HttpResponse(json_post, content_type='application/json')
There is no much sense in your code. You assign all querysets to the single key in the response dict. You should use a list for this purpose:
As far as I understand the code should be something like this:
response = []
for myid in ids:
getgeom = FloodHazard.objects.get(id=myid).geom
response.extend(BuildingStructure.objects.filter(geom__intersects=getgeom)
.values('brgy_locat')
.annotate(counthigh=Count('brgy_locat')))
json_post = ujson.dumps(response)
If you want to return a hazard level as well as the list of buildings then you can return a dict:
json_post = ujson.dumps({'hazard': 'high', 'buildings': response})