示例#1
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def get_static_report_mapping(from_domain, to_domain):
    from corehq.apps.userreports.models import StaticReportConfiguration, STATIC_PREFIX, \
        CUSTOM_REPORT_PREFIX

    report_map = {}

    for static_report in StaticReportConfiguration.by_domain(from_domain):
        if static_report.get_id.startswith(STATIC_PREFIX):
            report_id = static_report.get_id.replace(
                STATIC_PREFIX + from_domain + '-', '')
            is_custom_report = False
        else:
            report_id = static_report.get_id.replace(
                CUSTOM_REPORT_PREFIX + from_domain + '-', '')
            is_custom_report = True
        new_id = StaticReportConfiguration.get_doc_id(to_domain, report_id,
                                                      is_custom_report)
        # check that new report is in new domain's list of static reports
        try:
            StaticReportConfiguration.by_id(new_id, to_domain)
        except (BadSpecError, DocumentNotFound):
            pass
        else:
            report_map[static_report.get_id] = new_id
    return report_map
示例#2
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    def copy_ucr_reports(self, datasource_map):
        report_map = {}
        reports = get_report_configs_for_domain(self.existing_domain)
        for report in reports:
            old_datasource_id = report.config_id
            try:
                report.config_id = datasource_map[old_datasource_id]
            except KeyError:
                pass  # datasource not found

            old_id, new_id = self.save_couch_copy(report, self.new_domain)
            report_map[old_id] = new_id
        for static_report in StaticReportConfiguration.by_domain(
                self.existing_domain):
            if static_report.get_id.startswith(STATIC_PREFIX):
                report_id = static_report.get_id.replace(
                    STATIC_PREFIX + self.existing_domain + '-', '')
                is_custom_report = False
            else:
                report_id = static_report.get_id.replace(
                    CUSTOM_REPORT_PREFIX + self.existing_domain + '-', '')
                is_custom_report = True
            new_id = StaticReportConfiguration.get_doc_id(
                self.new_domain, report_id, is_custom_report)
            # check that new report is in new domain's list of static reports
            StaticReportConfiguration.by_id(new_id)
            report_map[static_report.get_id] = new_id
        return report_map
示例#3
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    def copy_ucr_reports(self, datasource_map):
        report_map = {}
        reports = get_report_configs_for_domain(self.existing_domain)
        for report in reports:
            old_datasource_id = report.config_id
            try:
                report.config_id = datasource_map[old_datasource_id]
            except KeyError:
                pass  # datasource not found

            old_id, new_id = self.save_couch_copy(report, self.new_domain)
            report_map[old_id] = new_id
        for static_report in StaticReportConfiguration.by_domain(self.existing_domain):
            if static_report.get_id.startswith(STATIC_PREFIX):
                report_id = static_report.get_id.replace(
                    STATIC_PREFIX + self.existing_domain + '-',
                    ''
                )
                is_custom_report = False
            else:
                report_id = static_report.get_id.replace(
                    CUSTOM_REPORT_PREFIX + self.existing_domain + '-',
                    ''
                )
                is_custom_report = True
            new_id = StaticReportConfiguration.get_doc_id(
                self.new_domain, report_id, is_custom_report
            )
            # check that new report is in new domain's list of static reports
            StaticReportConfiguration.by_id(new_id)
            report_map[static_report.get_id] = new_id
        return report_map
示例#4
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def get_static_report_mapping(from_domain, to_domain):
    from corehq.apps.userreports.models import StaticReportConfiguration, STATIC_PREFIX, \
        CUSTOM_REPORT_PREFIX

    report_map = {}

    for static_report in StaticReportConfiguration.by_domain(from_domain):
        if static_report.get_id.startswith(STATIC_PREFIX):
            report_id = static_report.get_id.replace(
                STATIC_PREFIX + from_domain + '-',
                ''
            )
            is_custom_report = False
        else:
            report_id = static_report.get_id.replace(
                CUSTOM_REPORT_PREFIX + from_domain + '-',
                ''
            )
            is_custom_report = True
        new_id = StaticReportConfiguration.get_doc_id(
            to_domain, report_id, is_custom_report
        )
        # check that new report is in new domain's list of static reports
        try:
            StaticReportConfiguration.by_id(new_id, to_domain)
        except (BadSpecError, DocumentNotFound):
            pass
        else:
            report_map[static_report.get_id] = new_id
    return report_map
示例#5
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 def spec(self):
     if self.is_static:
         return StaticReportConfiguration.by_id(self.report_config_id,
                                                domain=self.domain)
     else:
         return get_document_or_not_found(ReportConfiguration, self.domain,
                                          self.report_config_id)
示例#6
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 def _get_static_report_configuration_without_owner_transform(self, report_id, domain):
     static_report_configuration = StaticReportConfiguration.by_id(report_id, domain)
     for report_column in static_report_configuration.report_columns:
         transform = report_column.transform
         if transform.get('type') == 'custom' and transform.get('custom_type') == 'owner_display':
             report_column.transform = {}
     return static_report_configuration
示例#7
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 def _get_static_report_configuration_without_owner_transform(self, report_id, domain):
     static_report_configuration = StaticReportConfiguration.by_id(report_id, domain)
     for report_column in static_report_configuration.report_columns:
         transform = report_column.transform
         if transform.get('type') == 'custom' and transform.get('custom_type') == 'owner_display':
             report_column.transform = {}
     return static_report_configuration
示例#8
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    def _get_static_report_configuration_without_owner_transform(self, report_id, domain, override_agg_column):
        report_id = report_id.format(domain=domain)
        static_report_configuration = StaticReportConfiguration.by_id(report_id, domain)

        if override_agg_column and override_agg_column != 'awc_id':
            static_report_configuration = self._override_agg(static_report_configuration, override_agg_column)

        # this is explicitly after override, otherwise 'report_columns' attrib gets memoized too early
        for report_column in static_report_configuration.report_columns:
            transform = report_column.transform
            if transform.get('type') == 'custom' and transform.get('custom_type') == 'owner_display':
                report_column.transform = {}
        return static_report_configuration
示例#9
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 def _get_report_configuration(self, id_, domain):
     """
     Fetch the required ReportConfiguration object
     :param id_: The id of the ReportConfiguration
     :param domain: The domain of the ReportConfiguration
     :return: A ReportConfiguration
     """
     try:
         if report_config_id_is_static(id_):
             return StaticReportConfiguration.by_id(id_, domain=domain)
         else:
             return get_document_or_not_found(ReportConfiguration, domain, id_)
     except DocumentNotFound:
         raise NotFound
示例#10
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 def _get_report_configuration(self, id_, domain):
     """
     Fetch the required ReportConfiguration object
     :param id_: The id of the ReportConfiguration
     :param domain: The domain of the ReportConfiguration
     :return: A ReportConfiguration
     """
     try:
         if report_config_id_is_static(id_):
             return StaticReportConfiguration.by_id(id_, domain=domain)
         else:
             return get_document_or_not_found(ReportConfiguration, domain, id_)
     except DocumentNotFound:
         raise NotFound
示例#11
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    def ucr_report(self):
        spec = StaticReportConfiguration.by_id('static-%s-adherence' % self.domain)
        report = ReportFactory.from_spec(
            spec, include_prefilters=True
        )

        filter_values = get_filter_values(spec.ui_filters, self.request_params, self.request.couch_user)
        locations_id = [
            Choice(value=location_id, display='') for location_id in self.report_config.locations_id
            if location_id
        ]

        if locations_id:
            filter_values['village'] = locations_id

        report.set_filter_values(filter_values)
        return report
示例#12
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    def charts(self):
        case_finding_sql_data = self.case_finding_sql_data[0]
        sputum_conversion_report = ReportFactory.from_spec(
            StaticReportConfiguration.by_id('static-%s-sputum_conversion' %
                                            self.domain),
            include_prefilters=True)

        filter_values = {'date': self.datespan}

        locations_id = [
            Choice(value=location_id, display='')
            for location_id in self.report_config.locations_id if location_id
        ]

        if locations_id:
            filter_values['village'] = locations_id

        if self.report_config.is_migrated is not None:
            filter_values['is_migrated'] = Choice(
                value=self.report_config.is_migrated, display='')

        sputum_conversion_report.set_filter_values(filter_values)
        sputum_conversion_data = sputum_conversion_report.get_data()[0]
        charts_sql_data = self.charts_sql_data[0]
        treatment_outcome_sql_data = self.treatment_outcome_sql_data[0]

        default_value = {'sort_key': 0}

        chart = PieChart(title=_('Cases by Gender'), key='gender', values=[])
        chart.data = [{
            'label':
            _('Male'),
            'value':
            case_finding_sql_data.get('male_total', default_value)['sort_key']
        }, {
            'label':
            _('Female'),
            'value':
            case_finding_sql_data.get('female_total',
                                      default_value)['sort_key']
        }, {
            'label':
            _('Transgender'),
            'value':
            case_finding_sql_data.get('transgender_total',
                                      default_value)['sort_key']
        }]

        chart2 = MultiBarChart(_('Cases By Type'),
                               x_axis=Axis(''),
                               y_axis=Axis(''))
        chart2.stacked = False
        chart2.showLegend = False

        positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary',
                                                   default_value)['sort_key']
        negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary',
                                                   default_value)['sort_key']
        positive_extra_pulmonary = case_finding_sql_data.get(
            'new_positive_tb_extrapulmonary', default_value)['sort_key']

        relapse_cases = case_finding_sql_data.get('recurrent_positive_tb',
                                                  default_value)['sort_key']
        failure_cases = case_finding_sql_data.get('failure_positive_tb',
                                                  default_value)['sort_key']
        lfu_cases = case_finding_sql_data.get('lfu_positive_tb',
                                              default_value)['sort_key']
        others_cases = case_finding_sql_data.get('others_positive_tb',
                                                 default_value)['sort_key']

        chart2.add_dataset(_('New'), [{
            'x': 'Smear +ve',
            'y': positive_smear
        }, {
            'x': 'Smear -ve',
            'y': negative_smear
        }, {
            'x': 'EP',
            'y': positive_extra_pulmonary
        }])

        chart2.add_dataset(_('Retreatment'), [{
            'x': 'Relapse',
            'y': relapse_cases
        }, {
            'x': 'Failure',
            'y': failure_cases
        }, {
            'x': 'Treatment After Default',
            'y': lfu_cases
        }, {
            'x': 'Others',
            'y': others_cases
        }])

        chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''),
                               Axis(''))
        chart3.stacked = True

        chart3.add_dataset('Positive', [
            {
                'x':
                _('New Sputum +ve (2 month IP)'),
                'y':
                sputum_conversion_data.get(
                    'new_sputum_positive_patient_2months_ip', 0)
            },
            {
                'x':
                _('New Sputum +ve (3 month IP)'),
                'y':
                sputum_conversion_data.get(
                    'new_sputum_positive_patient_3months_ip', 0)
            },
            {
                'x':
                _('Cat II (3 month IP)'),
                'y':
                sputum_conversion_data.get('positive_endofip_patients_cat2', 0)
            },
        ])

        chart3.add_dataset(_('Negative'), [
            {
                'x':
                _('New Sputum +ve (2 month IP)'),
                'y':
                sputum_conversion_data.get(
                    'new_sputum_negative_patient_2months_ip', 0)
            },
            {
                'x':
                _('New Sputum +ve (3 month IP)'),
                'y':
                sputum_conversion_data.get(
                    'new_sputum_negative_patient_3months_ip', 0)
            },
            {
                'x':
                _('Cat II (3 month IP)'),
                'y':
                sputum_conversion_data.get('negative_endofip_patients_cat2', 0)
            },
        ])

        chart3.add_dataset('NA', [
            {
                'x':
                _('New Sputum +ve (2 month IP)'),
                'y':
                sputum_conversion_data.get('new_sputum_na_patient_2months_ip',
                                           0)
            },
            {
                'x':
                _('New Sputum +ve (3 month IP)'),
                'y':
                sputum_conversion_data.get('new_sputum_na_patient_3months_ip',
                                           0)
            },
            {
                'x': _('Cat II (3 month IP)'),
                'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0)
            },
        ])

        chart4 = PieChart(title=_('Total number of patients by category'),
                          key='',
                          values=[])
        chart4.data = [{
            'label':
            _('Cat1'),
            'value':
            charts_sql_data.get('cat1_patients', default_value)['sort_key']
        }, {
            'label':
            _('Cat2'),
            'value':
            charts_sql_data.get('cat2_patients', default_value)['sort_key']
        }]

        chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis(''))
        chart5.stacked = True

        chart5.add_dataset(_('Cured'), [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_cured',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get('recurrent_patients_cured',
                                           default_value)['sort_key']
        }])
        chart5.add_dataset('Treatment Complete', [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_treatment_complete',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get(
                'recurrent_patients_treatment_complete',
                default_value)['sort_key']
        }])
        chart5.add_dataset('Died', [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_died',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get('recurrent_patients_died',
                                           default_value)['sort_key']
        }])
        chart5.add_dataset(_('Failure'), [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_treatment_failure',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get(
                'recurrent_patients_treatment_failure',
                default_value)['sort_key']
        }])
        chart5.add_dataset(_('Loss to Follow-up'), [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_loss_to_follow_up',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get(
                'recurrent_patients_loss_to_follow_up',
                default_value)['sort_key']
        }])
        chart5.add_dataset(_('Regimen Changed'), [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_regimen_changed',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get(
                'recurrent_patients_regimen_changed',
                default_value)['sort_key']
        }])
        chart5.add_dataset('Not Evaluated', [{
            'x':
            _('New'),
            'y':
            treatment_outcome_sql_data.get('new_patients_not_evaluated',
                                           default_value)['sort_key']
        }, {
            'x':
            _('Retreatment'),
            'y':
            treatment_outcome_sql_data.get('recurrent_patients_not_evaluated',
                                           default_value)['sort_key']
        }])

        return [chart, chart2, chart3, chart4, chart5]
示例#13
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    def charts(self):
        case_finding_sql_data = self.case_finding_sql_data[0]
        sputum_conversion_report = ReportFactory.from_spec(
            StaticReportConfiguration.by_id('static-%s-sputum_conversion' % self.domain), include_prefilters=True
        )

        filter_values = {'date': QuarterFilter.get_value(self.request, self.domain)}

        locations_id = [
            Choice(value=location_id, display='') for location_id in self.report_config.locations_id
            if location_id
        ]

        if locations_id:
            filter_values['village'] = locations_id

        sputum_conversion_report.set_filter_values(filter_values)
        sputum_conversion_data = sputum_conversion_report.get_data()[0]
        charts_sql_data = self.charts_sql_data[0]
        treatment_outcome_sql_data = self.treatment_outcome_sql_data[0]

        default_value = {'sort_key': 0}

        chart = PieChart(title=_('Cases by Gender'), key='gender', values=[])
        chart.data = [
            {'label': _('Male'), 'value': case_finding_sql_data.get('male_total', default_value)['sort_key']},
            {
                'label': _('Female'),
                'value': case_finding_sql_data.get('female_total', default_value)['sort_key']
            },
            {
                'label': _('Transgender'),
                'value': case_finding_sql_data.get('transgender_total', default_value)['sort_key']
            }
        ]

        chart2 = MultiBarChart(_('Cases By Type'), x_axis=Axis(''), y_axis=Axis(''))
        chart2.stacked = False
        chart2.showLegend = False

        positive_smear = case_finding_sql_data.get('new_positive_tb_pulmonary', default_value)['sort_key']
        negative_smear = case_finding_sql_data.get('new_negative_tb_pulmonary', default_value)['sort_key']
        positive_extra_pulmonary = case_finding_sql_data.get(
            'new_positive_tb_extrapulmonary', default_value
        )['sort_key']

        relapse_cases = case_finding_sql_data.get('recurrent_positive_tb', default_value)['sort_key']
        failure_cases = case_finding_sql_data.get('failure_positive_tb', default_value)['sort_key']
        lfu_cases = case_finding_sql_data.get('lfu_positive_tb', default_value)['sort_key']
        others_cases = case_finding_sql_data.get('others_positive_tb', default_value)['sort_key']

        chart2.add_dataset(
            _('New'),
            [
                {'x': 'Smear +ve', 'y': positive_smear},
                {'x': 'Smear -ve', 'y': negative_smear},
                {'x': 'EP', 'y': positive_extra_pulmonary}
            ]
        )

        chart2.add_dataset(
            _('Retreatment'), [
                {'x': 'Relapse', 'y': relapse_cases},
                {'x': 'Failure', 'y': failure_cases},
                {'x': 'Treatment After Default', 'y': lfu_cases},
                {'x': 'Others', 'y': others_cases}
            ]
        )

        chart3 = MultiBarChart('Sputum Conversion By Patient Type', Axis(''), Axis(''))
        chart3.stacked = True

        chart3.add_dataset('Positive', [
            {
                'x': _('New Sputum +ve (2 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_positive_patient_2months_ip', 0)
            },
            {
                'x': _('New Sputum +ve (3 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_positive_patient_3months_ip', 0)
            },
            {
                'x': _('Cat II (3 month IP)'),
                'y': sputum_conversion_data.get('positive_endofip_patients_cat2', 0)
            },
        ])

        chart3.add_dataset(_('Negative'), [
            {
                'x': _('New Sputum +ve (2 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_negative_patient_2months_ip', 0)
            },
            {
                'x': _('New Sputum +ve (3 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_negative_patient_3months_ip', 0)
            },
            {
                'x': _('Cat II (3 month IP)'),
                'y': sputum_conversion_data.get('negative_endofip_patients_cat2', 0)
            },
        ])

        chart3.add_dataset('NA', [
            {
                'x': _('New Sputum +ve (2 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_na_patient_2months_ip', 0)
            },
            {
                'x': _('New Sputum +ve (3 month IP)'),
                'y': sputum_conversion_data.get('new_sputum_na_patient_3months_ip', 0)
            },
            {
                'x': _('Cat II (3 month IP)'),
                'y': sputum_conversion_data.get('na_endofip_patients_cat2', 0)
            },
        ])

        chart4 = PieChart(
            title=_('Total number of patients by category'), key='', values=[]
        )
        chart4.data = [
            {
                'label': _('Cat1'),
                'value': charts_sql_data.get('cat1_patients', default_value)['sort_key']
            },
            {
                'label': _('Cat2'),
                'value': charts_sql_data.get('cat2_patients', default_value)['sort_key']
            }
        ]

        chart5 = MultiBarChart('Outcome By Type', Axis(''), Axis(''))
        chart5.stacked = True

        chart5.add_dataset(_('Cured'), [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_cured', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get('recurrent_patients_cured', default_value)['sort_key']
            }
        ])
        chart5.add_dataset('Treatment Complete', [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_treatment_complete', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get(
                    'recurrent_patients_treatment_complete', default_value)['sort_key']
            }
        ])
        chart5.add_dataset('Died', [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_died', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get('recurrent_patients_died', default_value)['sort_key']
            }
        ])
        chart5.add_dataset(_('Failure'), [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_treatment_failure', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get(
                    'recurrent_patients_treatment_failure', default_value
                )['sort_key']
            }
        ])
        chart5.add_dataset(_('Loss to Follow-up'), [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_loss_to_follow_up', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get(
                    'recurrent_patients_loss_to_follow_up', default_value
                )['sort_key']
            }
        ])
        chart5.add_dataset(_('Regimen Changed'), [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_regimen_changed', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get(
                    'recurrent_patients_regimen_changed', default_value
                )['sort_key']
            }
        ])
        chart5.add_dataset('Not Evaluated', [
            {
                'x': _('New'),
                'y': treatment_outcome_sql_data.get('new_patients_not_evaluated', default_value)['sort_key']
            },
            {
                'x': _('Retreatment'),
                'y': treatment_outcome_sql_data.get('recurrent_patients_not_evaluated', default_value)['sort_key']
            }
        ])

        return [
            chart,
            chart2,
            chart3,
            chart4,
            chart5
        ]
示例#14
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 def spec(self):
     if self.is_static:
         return StaticReportConfiguration.by_id(self.report_config_id, domain=self.domain)
     else:
         return get_document_or_not_found(ReportConfiguration, self.domain, self.report_config_id)
示例#15
0
 def __init__(self, domain, filters, report_id):
     report_config = ReportFactory.from_spec(
         StaticReportConfiguration.by_id(report_id.format(domain=domain)))
     report_config.set_filter_values(filters)
     self.report_config = report_config
示例#16
0
 def __init__(self, domain, filters, report_id):
     report_config = ReportFactory.from_spec(
         StaticReportConfiguration.by_id(report_id.format(domain=domain))
     )
     report_config.set_filter_values(filters)
     self.report_config = report_config