def test_blueprint(self): pd = factories.ProgrammeDocumentFactory() data = { 'id': 34, 'blueprint_id': 34, 'title': '# of children reached', } filter_dict = { 'external_id': data['blueprint_id'], 'reportables__lower_level_outputs__cp_output__programme_document': pd.pk } blueprint_qs = IndicatorBlueprint.objects.filter(**filter_dict) self.assertFalse(blueprint_qs.exists()) process_model( IndicatorBlueprint, PMPIndicatorBlueprintSerializer, data=data, filter_dict=filter_dict, )
def test_reportable(self): blueprint = factories.QuantityTypeIndicatorBlueprintFactory() pd = factories.ProgrammeDocumentFactory() data = { 'id': 34, 'blueprint_id': blueprint.pk, 'disaggregation_ids': [], 'content_type': 47, 'object_id': 1, } filter_dict = { 'external_id': data['blueprint_id'], 'lower_level_outputs__cp_output__programme_document': pd.pk } reportable_qs = Reportable.objects.filter(**filter_dict) self.assertFalse(reportable_qs.exists()) process_model( Reportable, PMPReportableSerializer, data=data, filter_dict=filter_dict, )
def setUp(self): self.workspace = factories.WorkspaceFactory() self.response_plan = factories.ResponsePlanFactory( workspace=self.workspace, start=beginning_of_this_year, end=end_of_this_year, ) self.cluster = factories.ClusterFactory(type='cccm', response_plan=self.response_plan) self.carto_table = factories.CartoDBTableFactory() self.loc1 = factories.LocationFactory() self.loc2 = factories.LocationFactory() self.loc1.workspaces.add(self.workspace) self.loc2.workspaces.add(self.workspace) self.unicef_officer = factories.PersonFactory() self.unicef_focal_point = factories.PersonFactory() self.partner_focal_point = factories.PersonFactory() self.objective = factories.ClusterObjectiveFactory( cluster=self.cluster, locations=[ self.loc1, self.loc2, ] ) self.activity = factories.ClusterActivityFactory( cluster_objective=self.objective, locations=[ self.loc1, self.loc2 ] ) self.partner = factories.PartnerFactory(country_code=faker.country_code(), clusters=[self.cluster, ]) self.user = factories.NonPartnerUserFactory() self.partner_user = factories.PartnerUserFactory(partner=self.partner) factories.ClusterPRPRoleFactory(user=self.user, workspace=self.workspace, cluster=self.cluster, role=PRP_ROLE_TYPES.cluster_imo) factories.IPPRPRoleFactory(user=self.partner_user, workspace=self.workspace, role=PRP_ROLE_TYPES.ip_authorized_officer) factories.IPPRPRoleFactory(user=self.partner_user, workspace=self.workspace, cluster=None, role=PRP_ROLE_TYPES.cluster_member) self.project = factories.PartnerProjectFactory( partner=self.partner, clusters=[self.cluster], locations=[self.loc1, self.loc2], ) self.p_activity = factories.ClusterActivityPartnerActivityFactory( partner=self.partner, cluster_activity=self.activity, ) self.project_context = factories.PartnerActivityProjectContextFactory( project=self.project, activity=self.p_activity, start_date=datetime.date(today.year, 3, 1), end_date=datetime.date(today.year, 10, 25), ) self.sample_disaggregation_value_map = { "height": ["tall", "medium", "short", "extrashort"], "age": ["1-2m", "3-4m", "5-6m", '7-10m', '11-13m', '14-16m'], "gender": ["male", "female", "other"], } blueprint = factories.QuantityTypeIndicatorBlueprintFactory( unit=IndicatorBlueprint.NUMBER, calculation_formula_across_locations=IndicatorBlueprint.SUM, calculation_formula_across_periods=IndicatorBlueprint.SUM, ) self.partneractivity_reportable = factories.QuantityReportableToPartnerActivityProjectContextFactory( content_object=self.project_context, blueprint=blueprint ) factories.LocationWithReportableLocationGoalFactory( location=self.loc1, reportable=self.partneractivity_reportable, ) factories.LocationWithReportableLocationGoalFactory( location=self.loc2, reportable=self.partneractivity_reportable, ) self.pd = factories.ProgrammeDocumentFactory( workspace=self.workspace, partner=self.partner, sections=[factories.SectionFactory(), ], unicef_officers=[self.unicef_officer, ], unicef_focal_point=[self.unicef_focal_point, ], partner_focal_point=[self.partner_focal_point, ] ) for idx in range(2): qpr_period = factories.QPRReportingPeriodDatesFactory(programme_document=self.pd) factories.ProgressReportFactory( start_date=qpr_period.start_date, end_date=qpr_period.end_date, due_date=qpr_period.due_date, report_number=idx + 1, report_type=qpr_period.report_type, is_final=False, programme_document=self.pd, submitted_by=self.user, submitting_user=self.user, ) for idx in range(6): hr_period = factories.HRReportingPeriodDatesFactory(programme_document=self.pd) factories.ProgressReportFactory( start_date=hr_period.start_date, end_date=hr_period.end_date, due_date=hr_period.due_date, report_number=idx + 1, report_type=hr_period.report_type, is_final=False, programme_document=self.pd, submitted_by=self.user, submitting_user=self.user, ) self.cp_output = factories.PDResultLinkFactory( programme_document=self.pd, ) self.llo = factories.LowerLevelOutputFactory( cp_output=self.cp_output, ) self.llo_reportable = factories.QuantityReportableToLowerLevelOutputFactory( content_object=self.llo, blueprint=factories.QuantityTypeIndicatorBlueprintFactory( unit=IndicatorBlueprint.NUMBER, calculation_formula_across_locations=IndicatorBlueprint.SUM, ) ) self.llo_reportable.disaggregations.clear() self.partneractivity_reportable.disaggregations.clear() # Create the disaggregations and values in the db for all response plans # including one for no response plan as well for disagg_name, values in self.sample_disaggregation_value_map.items(): disagg = factories.IPDisaggregationFactory(name=disagg_name) cluster_disagg = factories.DisaggregationFactory(name=disagg_name, response_plan=self.response_plan) self.llo_reportable.disaggregations.add(disagg) self.partneractivity_reportable.disaggregations.add(cluster_disagg) for value in values: factories.DisaggregationValueFactory( disaggregation=cluster_disagg, value=value ) factories.DisaggregationValueFactory( disaggregation=disagg, value=value ) factories.LocationWithReportableLocationGoalFactory( location=self.loc1, reportable=self.llo_reportable, ) factories.LocationWithReportableLocationGoalFactory( location=self.loc2, reportable=self.llo_reportable, ) for _ in range(2): factories.ClusterIndicatorReportFactory( reportable=self.partneractivity_reportable, report_status=INDICATOR_REPORT_STATUS.submitted, ) # Creating Level-3 disaggregation location data for all locations generate_3_num_disagg_data(self.partneractivity_reportable, indicator_type="quantity") for loc_data in IndicatorLocationData.objects.filter(indicator_report__reportable=self.partneractivity_reportable): QuantityIndicatorDisaggregator.post_process(loc_data) for pr in self.pd.progress_reports.all(): factories.ProgressReportIndicatorReportFactory( progress_report=pr, reportable=self.llo_reportable, report_status=INDICATOR_REPORT_STATUS.submitted, overall_status=OVERALL_STATUS.met, ) # Creating Level-3 disaggregation location data for all locations generate_3_num_disagg_data(self.llo_reportable, indicator_type="quantity") for loc_data in IndicatorLocationData.objects.filter(indicator_report__reportable=self.llo_reportable): QuantityIndicatorDisaggregator.post_process(loc_data) super().setUp()