def setUpTestData(cls):
factory = DataFactory()
cls.months = factory.create_months_array(start_date="2018-02-01",
num_months=6)
# Our NCSO and tariff data extends further than our prescribing data by
# a couple of months
cls.prescribing_months = cls.months[:-2]
# Create some CCGs (we need more than one so we can test aggregation
# across CCGs at the All England level)
cls.ccgs = [factory.create_ccg() for _ in range(2)]
# Populate those CCGs with practices
cls.practices = []
for ccg in cls.ccgs:
for _ in range(2):
cls.practices.append(factory.create_practice(ccg=ccg))
# Create some presentations
cls.presentations = factory.create_presentations(6)
# Create drug tariff and price concessions costs for these presentations
factory.create_tariff_and_ncso_costings_for_presentations(
cls.presentations, months=cls.months)
# Create prescribing for each of the practices we've created
for practice in cls.practices:
factory.create_prescribing_for_practice(
practice,
presentations=cls.presentations,
months=cls.prescribing_months)
# Pull out an individual practice and CCG to use in our tests
cls.practice = cls.practices[0]
cls.ccg = cls.ccgs[0]
def setUp(self):
self.api_prefix = '/api/1.0'
factory = DataFactory()
self.months = factory.create_months_array(start_date='2018-02-01')
self.ccgs = [factory.create_ccg() for _ in range(2)]
self.practices = []
for ccg in self.ccgs:
for _ in range(2):
self.practices.append(factory.create_practice(ccg=ccg))
self.presentations = factory.create_presentations(
2, vmpp_per_presentation=2)
factory.create_tariff_and_ncso_costings_for_presentations(
presentations=self.presentations, months=self.months)
# Create prescribing for each of the practices we've created
for practice in self.practices:
factory.create_prescribing_for_practice(
practice,
presentations=self.presentations,
months=self.months
)
# Create and populate the materialized view table we need
factory.populate_materialised_views()
# Refresh vw__medians_for_tariff materialized view
with connection.cursor() as cursor:
cursor.execute("REFRESH MATERIALIZED VIEW vw__medians_for_tariff")
super(TestAPISpendingViewsGhostGenerics, self).setUp()
def setUpTestData(self):
self.api_prefix = "/api/1.0"
factory = DataFactory()
self.months = factory.create_months_array(start_date="2018-02-01")
self.ccgs = [factory.create_ccg() for _ in range(2)]
self.practices = []
for ccg in self.ccgs:
for _ in range(2):
self.practices.append(factory.create_practice(ccg=ccg, setting=4))
self.presentations = factory.create_presentations(2, vmpp_per_presentation=2)
factory.create_tariff_and_ncso_costings_for_presentations(
presentations=self.presentations, months=self.months
)
# Create prescribing for each of the practices we've created
for practice in self.practices:
factory.create_prescribing_for_practice(
practice, presentations=self.presentations, months=self.months
)
def setUpClass(cls):
super(TestSpendingViews, cls).setUpClass()
factory = DataFactory()
cls.months = factory.create_months_array(start_date="2018-02-01",
num_months=6)
# Our NCSO and tariff data extends further than our prescribing data by
# a couple of months
cls.prescribing_months = cls.months[:-2]
# Create some high level orgs
cls.regional_team = factory.create_regional_team()
cls.stp = factory.create_stp()
# Create some CCGs (we need more than one so we can test aggregation
# across CCGs at the All England level)
cls.ccgs = [
factory.create_ccg(stp=cls.stp, regional_team=cls.regional_team)
for _ in range(2)
]
# Create a PCN (one will do)
cls.pcn = factory.create_pcn()
# Populate those CCGs with practices
cls.practices = []
for ccg in cls.ccgs:
for _ in range(2):
cls.practices.append(
factory.create_practice(ccg=ccg, pcn=cls.pcn))
# Create some presentations
cls.presentations = factory.create_presentations(
6, vmpp_per_presentation=2)
# Create drug tariff and price concessions costs for these presentations
factory.create_tariff_and_ncso_costings_for_presentations(
cls.presentations, months=cls.months)
# Create prescribing for each of the practices we've created
for practice in cls.practices:
factory.create_prescribing_for_practice(
practice,
presentations=cls.presentations,
months=cls.prescribing_months)
# Pull out an individual practice and CCG to use in our tests
cls.practice = cls.practices[0]
cls.ccg = cls.ccgs[0]