def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
labels = get_labels(models.Collection)
user_choices = [(u.id, u.get_full_name()) for u in User.objects.filter(collection__isnull=False).distinct()]
fy_choices = [(obj.id, str(obj)) for obj in FiscalYear.objects.filter(collections__isnull=False).distinct()]
self.filters["contact_users"] = django_filters.ChoiceFilter(field_name="contact_users", choices=user_choices, label=labels["contact_users"])
self.filters["fiscal_year"] = django_filters.ChoiceFilter(field_name="fiscal_year", choices=fy_choices, label=labels["fiscal_year"])
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['role_choices'] = [
dict(text=c[1], value=c[0]) for c in self.model.role_choices
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['choices'] = [
dict(text=item.choice_display, value=item.id)
for item in self.model.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['om_category_choices'] = [
dict(text=item.id, value=str(item))
for item in models.OMCategory.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['assay_choices'] = [
dict(text=str(item), value=item.id)
for item in models.Assay.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['cost_choices'] = [
dict(text=item.tname, value=item.id)
for item in models.Cost.objects.all()
]
data['labels'] = get_labels(self.model)
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
# we want to get a list of filters for which there has been no SpeciesObservations
data['species_choices'] = [
dict(text=str(item), value=item.id)
for item in models.Species.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['sample_type_choices'] = [
dict(text=item.name, value=item.id)
for item in models.SampleType.objects.all()
]
# data['sample_choices'] = [dict(text=str(item), value=item.id, has_filter=item.filters.exists()) for item in
# models.Sample.objects.all()]
return Response(data)
def get_data(self):
data = dict()
model = self.get_model()
data['labels'] = get_labels(model)
for field in model._meta.get_fields():
if hasattr(field, "choices") and getattr(field, "choices"):
data[f'{field.name}_choices'] = [
dict(text=c[1], value=c[0])
for c in getattr(field, "choices")
]
return data
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
qp = request.query_params
if qp.get("crab"):
data['choices'] = [dict(text=item.choice_display, value=item.id) for item in self.model.objects.filter(green_crab_monitoring=True)]
elif qp.get("bycatch"):
data['choices'] = [dict(text=item.choice_display, value=item.id) for item in self.model.objects.filter(green_crab_monitoring=False)]
else:
data['choices'] = [dict(text=item.choice_display, value=item.id) for item in self.model.objects.all()]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['filtration_type_choices'] = [
dict(text=item.name, value=item.id)
for item in models.FiltrationType.objects.all()
]
data['sample_choices'] = [
dict(text=item.full_display, value=item.id)
for item in models.Sample.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['role_choices'] = [
dict(text=item.tname, value=item.id)
for item in models.Role.objects.all()
]
data['org_choices'] = [
dict(text=item.tfull, value=item.tfull)
for item in Organization.objects.filter(is_dfo=True)
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
# we want to get a list of filters for which there has been no PCRs
data['extract_choices'] = [
dict(text=item.full_display, value=item.id)
for item in models.DNAExtract.objects.all()
]
data['master_mix_choices'] = [
dict(text=str(item), value=item.id)
for item in models.MasterMix.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['filtration_type_choices'] = [
dict(text=item.name, value=item.id)
for item in models.FiltrationType.objects.all()
]
data['sample_choices'] = [
dict(text=item.unique_sample_identifier,
value=item.id,
has_filter=item.filters.exists())
for item in models.Sample.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
# we want to get a list of filters for which there has been no PCRs
data['filter_choices'] = [
dict(text=item.full_display,
value=item.id,
has_extract=hasattr(item, 'extract'))
for item in models.Filter.objects.all()
]
data['dna_extraction_protocol_choices'] = [
dict(text=item.name, value=item.id)
for item in models.DNAExtractionProtocol.objects.all()
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
# we want to get a list of filters for which there has been no PCRs
data['extract_choices'] = [
dict(text=item.id, value=item.id, has_pcr=item.pcrs.exists())
for item in models.DNAExtract.objects.all()
]
qs = models.PCR.objects.filter(
pcr_number_suffix__isnull=False).order_by("pcr_number_suffix")
last_pcr_number = 0
if qs.exists():
last_pcr_number = qs.last().pcr_number_suffix
data['last_pcr_number'] = last_pcr_number
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
data['type_choices'] = [
dict(text=item[1], value=item[0])
for item in models.Activity.type_choices
]
data['likelihood_choices'] = [
dict(text=item[1], value=item[0])
for item in models.Activity.likelihood_choices
]
data['impact_choices'] = [
dict(text=item[1], value=item[0])
for item in models.Activity.impact_choices
]
data['risk_rating_choices'] = [
dict(text=item[1], value=item[0])
for item in models.Activity.risk_rating_choices
]
return Response(data)
def get(self, request):
data = dict()
data['labels'] = get_labels(self.model)
return Response(data)
