harshvb7

{"SBALCONY":
[{
    "t": "path",
    "a": {"d": "M303.6,631.5c6.3,0,11.3,5.1,11.3,11.3s-5.1,11.3-11.3,11.3s-11.3-5.1-11.3-11.3S297.4,631.5,303.6,631.5z"}
},
{
    "t": "path",
    "a": {"d": "M332,642.8c6.3,0.6,10.8,6.1,10.3,12.2c-0.5,6.2-6.1,10.8-12.2,10.3c-6.2-0.5-10.8-6.1-10.3-12.2 C320.3,646.9,325.8,642.3,332,642.8z"}
},
{

harshvb7

harshvb7

from django.contrib.messages.storage.fallback import FallbackStorage
from django.contrib.sessions.middleware import SessionMiddleware
from django.test import RequestFactory


class TestSomeView:
    
    def test_view(self):
        request = RequestFactory().get('/')
        

harshvb7

tests/views/test_project_detail_view.py
tests/views/.....

>> Views must ONLY test input and status code of the response. Mock the business logic to test the status code.
Ideally our views should be very SLIM and all the logic must go in services and helper functions
If we need to access some variables from request in the service, then better destructure it in the view and pass ONLY the variable in the service NEVER the request object.
In case of API view, call the service from the serializer after validating the input. Don't come back to the view with the validated input and then put the input again in the service.


tests/services/test_document_service.py

harshvb7

from elasticsearch_dsl import connections, UpdateByQuery


def bulk_update_docs(ids, instance, fields_changed=[]):
    """
    Arguments:
        ids: {list} -- list of ids of documents we want to update
        instance {Model instance} -- The updated user model object
        fields_changed {list} -- list of the model fields changed
    """

harshvb7

# we also index a keyword version of the field
name = Text(
    analyzer=my_custom_analyzer,
    fields={'keyword': es.Keyword()}
)


# and use it with facets like this
'city': TermsFacet(field='user.city.name.keyword'),

harshvb7

from elasticsearch_dsl import FacetedSearch, TermsFacet


class TweetSearch(FacetedSearch):

    facets = {
        # use bucket aggregations to define facets
        'city': TermsFacet(field='user.city.name'),
    }

harshvb7

# an example from elasticsearch-dsl docs
from elasticsearch_dsl import analyzer


html_strip = analyzer('html_strip',
    tokenizer="standard",
    filter=["standard", "lowercase", "stop", "snowball"],
    char_filter=["html_strip"]
)

harshvb7

"""
Assume the structure of the document looks like this

{
    "user": {
        "first_name": "Foo",
        "last_name": "Bar",
        "age": "30",
        "city": {
            "id": 5,

harshvb7

for offer in basket.offer_set.published().exclude(ticket_price__state=13):
    _voucher_ids = list(offer.ticket_price.ticket_vouchers_multiple.all().values_list('id', flat=True))
    if (offer.ticket_price.ticket_voucher and offer.ticket_price.ticket_voucher != ticket_price) or (_voucher_ids and ticket_price.id not in _voucher_ids):
        ....