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import random
import factory
from factory import Faker
from ctrack.caf.models import ApplicableSystem, Grading, DocumentFile, FileStore, CAF
from ctrack.organisations.tests.factories import OrganisationFactory, PersonFactory
class CAFFactory(factory.DjangoModelFactory):
quality_grading = factory.SubFactory("ctrack.caf.tests.factories.GradingFactory")
confidence_grading = factory.SubFactory("ctrack.caf.tests.factories.GradingFactory")
file = None
version = Faker("bothify", text="??##", letters="ABCD")
triage_review_date = Faker("date_object")
triage_review_inspector = factory.SubFactory(PersonFactory)
comments = Faker("paragraph", nb_sentences=5, variable_nb_sentences=True, ext_word_list=None)
class Meta:
model = CAF
class ApplicableSystemFactory(factory.DjangoModelFactory):
"""Factory for Essential Services."""
name = Faker("text", max_nb_chars=100, ext_word_list=None)
description = Faker(
"paragraph", nb_sentences=4, variable_nb_sentences=True, ext_word_list=None
)
organisation = factory.SubFactory(OrganisationFactory)
caf = factory.SubFactory("ctrack.caf.tests.factories.CAFFactory")
class Meta:
model = ApplicableSystem
class GradingFactory(factory.DjangoModelFactory):
descriptor = factory.Iterator(
["Q1", "Q2", "Q3", "Q4", "Q5", "C1", "C2", "C3", "C4", "C5"]
)
description = Faker("text", max_nb_chars=100, ext_word_list=None)
type = factory.Iterator(Grading.GRADING_TYPE, getter=lambda g: g[0])
class Meta:
model = Grading
class FileStoreFactory(factory.DjangoModelFactory):
descriptor = "File Store X"
virtual_location = Faker("street_name")
physical_location = random.choice(["Cupboard A", "Tin Box", "The Vault"])
physical_location_organisation = factory.SubFactory(OrganisationFactory)
class Meta:
model = FileStore
class DocumentFileFactory(factory.DjangoModelFactory):
name = Faker("file_name", extension="xlsx")
type = random.choice([1, 2, 3, 4])
file_store_location = factory.SubFactory(FileStoreFactory)
class Meta:
model = DocumentFile
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