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How to use assert_http_202_accepted method in Django Test Plus

Best Python code snippet using django-test-plus_python

test_population_indicators.py

Source:test_population_indicators.py

...41        area_level3 = AreaLevelFactory()42        # disaggregate the population, but no areas in arealevel43        response = self.post('arealevels-intersect-areas', pk=area_level3.pk,44                             data=data)45        self.assert_http_202_accepted(response)46        # ToDo: Note CF: testing for a specific message text???? that is strange47        self.assertEqual(response.data.get('message'), 'No areas available')48        # disaggregate the population and use precalculated rastercells49        # ToDo: shouldn't the populations have a reference to the area_level(s)?50        # workaround by getting the supposed area_level indirectly51        for area_level_id in self.popraster.rastercellpopulation_set.values_list(52            'area__area_level', flat=True).distinct():53            if area_level_id is None:54                continue55            response = self.post('arealevels-intersect-areas',56                                 pk=area_level_id,57                                 data={'drop_constraints': False,})58            self.assert_http_202_accepted(response)59            print(response.data.get('message'))60        # disaggregate the population and use precalculated rastercells61        response = self.post('populations-disaggregate', pk=population.pk,62                             data={'use_intersected_data': True,63                                   'drop_constraints': False, })64        self.assert_http_202_accepted(response)65        print(response.data.get('message'))66        unknown_level = max(AreaLevel.objects.all().values_list('id', flat=True)) + 167        response = self.post('arealevels-intersect-areas',68                             pk=unknown_level,69                             data={'drop_constraints': False,})70        self.assert_http_406_not_acceptable(response)71    def test_disaggregate_population(self):72        """Test if the population is correctly Disaggregated to RasterCells"""73        population: Population = self.population74        # disaggregate the population75        response = self.post('populations-disaggregate', pk=-1,76                             data={'drop_constraints': False, })77        self.assert_http_406_not_acceptable(response)78        # disaggregate the population79        response = self.post('populations-disaggregate', pk=population.pk,80                             data={'drop_constraints': False, })81        self.assert_http_202_accepted(response)82        print(response.data.get('message'))83        # do again to check updates84        response = self.post('populations-disaggregate', pk=population.pk,85                             data={'drop_constraints': False, })86        self.assert_http_202_accepted(response)87        # get disaggregated population88        response = self.get_check_200(url='populations-get-details',89                                      pk=population.pk)90        df = pd.DataFrame.from_records(response.data['rastercellpopulationagegender_set'])91        # compare to population entry92        popentries = PopulationEntry.objects.filter(population=population)93        df_popentries = pd.DataFrame.from_records(94            popentries.values('area', 'gender', 'age_group', 'value'))95        # check by gender96        expected = df_popentries[['gender', 'value']].groupby('gender').sum()97        actual = df[['gender', 'value']].groupby('gender').sum()98        pd.testing.assert_frame_equal(actual, expected)99        # check by age_group100        expected = df_popentries[['age_group', 'value']].groupby('age_group').sum()101        actual = df[['age_group', 'value']].groupby('age_group').sum()102        pd.testing.assert_frame_equal(actual, expected)103        # check by cell104        actual = df[['cell', 'value']].groupby('cell').sum()105        # disaggregate the population106        response = self.post('populations-disaggregateall',107                             data={'drop_constraints': False, })108        self.assert_http_202_accepted(response)109        print(response.data.get('message'))110    def test_area_without_rasterpopulation(self):111        """112        Test what happens, if there is population in an area,113        but no rastercells with values to distribute114        """115        #delete the existing cellcodes in area3116        cellcodes_area3 = [f'100mN{n:05}E{e:05}'117                           for n, e in118                           [(30226, 42482), (30227, 42483)]]119        rcp = RasterCellPopulation.objects.filter(cell__cellcode__in=cellcodes_area3)120        rcp.delete()121        #add a population entries in area3122        area3 = AreaAttribute.objects.get(field__name='gen', str_value='area3').area123        age_group = AgeGroup.objects.first()124        gender = Gender.objects.first()125        PopulationEntry.objects.create(population=self.population,126                                       area=area3,127                                       age_group=age_group,128                                       gender=gender,129                                       value=444)130        gender = Gender.objects.last()131        PopulationEntry.objects.create(population=self.population,132                                       area=area3,133                                       age_group=age_group,134                                       gender=gender,135                                       value=555)136        # Disaggregate the population137        response = self.post('populations-disaggregate', pk=self.population.pk,138                             data={'drop_constraints': False,})139        self.assert_http_202_accepted(response)140        # there should be a message about the not distributed inhabitants141        self.assertIn('999.0 Inhabitants not located to rastercells',142                      response.data.get('message'))143        self.assertIn('area3', response.data.get('message'))144        # get disaggregated population145        response = self.get_check_200(url='populations-get-details',146                                      pk=self.population.pk)147        df = pd.DataFrame.from_records(response.data['rastercellpopulationagegender_set'])148        # compare to population entry149        popentries = PopulationEntry.objects.filter(population=self.population)150        df_popentries = pd.DataFrame.from_records(151            popentries.values('area', 'gender', 'age_group', 'value'))152        # check results by gender, ignore population in area3153        expected = df_popentries.loc[df_popentries.area != area3.id]\154            [['gender', 'value']]\155            .groupby('gender')\156            .sum()157        actual = df[['gender', 'value']].groupby('gender').sum()158        pd.testing.assert_frame_equal(actual, expected)159        # Delete area2+3 with its population160        aa2_and_3 = AreaAttribute.objects.filter(field__name='gen',161                                                 str_value__in=['area2', 'area3'])162        area_2_and_3 = Area.objects.filter(id__in=aa2_and_3.values('area'))163        area_2_and_3.delete()164        # Disaggregate the population165        response = self.post('populations-disaggregate', pk=self.population.pk,166                             data={'drop_constraints': False,})167        self.assert_http_202_accepted(response)168        # get disaggregated population169        response = self.get_check_200(url = 'populations-get-details',170                                      pk=self.population.pk)171        df = pd.DataFrame.from_records(response.data['rastercellpopulationagegender_set'])172        # compare to population entry173        popentries = PopulationEntry.objects.filter(population=self.population)174        df_popentries = pd.DataFrame.from_records(175            popentries.values('area', 'gender', 'age_group', 'value'))176        # check by gender177        expected = df_popentries[['gender', 'value']].groupby('gender').sum()178        actual = df[['gender', 'value']].groupby('gender').sum()179        pd.testing.assert_frame_equal(actual, expected)180    def aggregate_population(self):181        """aggregate populations to all arealevels"""...

test_templates_stops_traveltimes.py

Source:test_templates_stops_traveltimes.py

...40            'excel_file' : file_content,41        }42        url = reverse('stops-upload-template')43        res = self.client.post(url, data, extra=dict(format='multipart/form-data'))44        self.assert_http_202_accepted(res, msg=res.content)45        # 4 stops should have been uploaded with the correct hst-nr and names46        df = pd.read_excel(file_path_stops, skiprows=[1])47        actual = pd.DataFrame(Stop.objects.values('id', 'name')).set_index('id')48        expected = df[['HstNr', 'HstName']]\49            .rename(columns={'HstNr': 'id','HstName': 'name',})\50            .set_index('id')51        pd.testing.assert_frame_equal(actual, expected)52        # assert that without edit_basedata-permissions no upload is possible53        self.profile.can_edit_basedata = False54        self.profile.save()55        res = self.client.post(url, data, extra=dict(format='multipart/form-data'))56        self.assert_http_403_forbidden(res)57    def test_upload_broken_stop_file(self):58        """59        test errors in upload files60        """61        file_path = os.path.join(os.path.dirname(__file__),62                                 self.testdata_folder,63                                 self.filename_stops_errors)64        url = reverse('stops-upload-template')65        data = {66            'excel_file' : open(file_path, 'rb'),67            'drop_constraints': False,68        }69        res = self.client.post(url, data, extra=dict(format='multipart/form-data'))70        self.assertContains(res,71                            'Haltestellennummer ist nicht eindeutig',72                            status_code=406)73        print(res.content)74    def create_mode_variant(self) -> int:75        return ModeVariantFactory().pk76    def upload_stops(self, filename_stops: str='Haltestellen.xlsx'):77        url = reverse('stops-upload-template')78        data = {79            'excel_file' : open(self.get_file_path_stops(filename_stops), 'rb'),80            'drop_constraints': False,81        }82        res = self.client.post(url, data, extra=dict(format='multipart/form-data'))83        self.assert_http_202_accepted(res, msg=res.content)84    def test_request_template_matrixstopstop(self):85        url = reverse('matrixstopstops-create-template')86        res = self.post(url)87        self.assert_http_200_ok(res)88        wb = load_workbook(BytesIO(res.content))89        self.assertListEqual(wb.sheetnames, ['Reisezeit'])90    def test_upload_matrixstopstop_template(self):91        """92        test bulk upload matrix93        """94        for fn_stops, fn_matrix in [95            ('Haltestellen.xlsx', 'Reisezeitmatrix_Haltestelle_zu_Haltestelle.xlsx'),96            ('Haltestellen_HL.xlsx', 'Reisezeimatrix_HL_klein.mtx')97        ]:98            self.upload_stops(fn_stops)99            mode_variant_id = self.create_mode_variant()100            file_path = os.path.join(os.path.dirname(__file__),101                                        self.testdata_folder,102                                        fn_matrix)103            file_content = open(file_path, 'rb')104            data = {105                'excel_or_visum_file' : file_content,106                'variant': mode_variant_id,107                'drop_constraints': False,108            }109            url = reverse('matrixstopstops-upload-template')110            res = self.client.post(url, data, extra=dict(format='multipart/form-data'))111            self.assert_http_202_accepted(res, msg=res.content)112            if fn_matrix.endswith('.xlsx'):113                df = pd.read_excel(file_path, skiprows=[1])114            elif fn_matrix.endswith('mtx'):115                da = ReadPTVMatrix(file_path)116                df = da['matrix'].to_dataframe()117                df = df.loc[df['matrix']<999999]118                df.index.rename(['from_stop', 'to_stop'], inplace=True)119                df.rename(columns={'matrix': 'minutes',}, inplace=True)120                df.reset_index(inplace=True)121            actual = pd.DataFrame(122                MatrixStopStop.objects.values('from_stop', 'to_stop', 'minutes'))\123                .set_index(['from_stop', 'to_stop'])124            expected = df[['from_stop', 'to_stop', 'minutes']].set_index(['from_stop', 'to_stop'])125            pd.testing.assert_frame_equal(actual, expected, check_dtype=False)...

test_matrixcreation.py

Source:test_matrixcreation.py

...30                'drop_constraints': False,31                'speed': 4,32                'max_distance': 500,}33        res = self.post('matrixcellplaces-precalculate-traveltime', data=data)34        self.assert_http_202_accepted(res)35        print(res.content)36        print(MatrixCellPlace.objects.filter(variant=walk.pk).count())37        data = {'variant': car.pk,38                'drop_constraints': False,39                'speed': 20,40                'max_distance': 5000,}41        res = self.post('matrixcellplaces-precalculate-traveltime', data=data)42        self.assert_http_202_accepted(res)43        print(res.content)44        print(MatrixCellPlace.objects.filter(variant=car.pk).count())45        data = {'variant': car.pk,46                'drop_constraints': False,47                'speed': 4,48                'max_distance': 5000,}49        res = self.post('matrixcellstops-precalculate-traveltime', data=data)50        self.assert_http_202_accepted(res)51        print(res.content)52        print(MatrixCellStop.objects.filter(variant=car.pk).count())53        data = {'variant': car.pk,54                'drop_constraints': False,55                'speed': 4,56                'max_distance': 5000,}57        res = self.post('matrixplacestops-precalculate-traveltime', data=data)58        self.assert_http_202_accepted(res)59        print(res.content)...

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