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)