Python ImpactReport.output_folder方法代码示例

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
def generate_impact_report(impact_function, iface):
    """Generate the impact report from an impact function.

    :param impact_function: The impact function used.
    :type impact_function: ImpactFunction

    :param iface: QGIS QGisAppInterface instance.
    :type iface: QGisAppInterface

    """
    # create impact report instance
    report_metadata = ReportMetadata(
        metadata_dict=standard_impact_report_metadata_pdf)
    impact_report = ImpactReport(
        iface,
        report_metadata,
        impact_function=impact_function)

    # generate report folder

    # no other option for now
    # TODO: retrieve the information from data store
    if isinstance(impact_function.datastore.uri, QDir):
        layer_dir = impact_function.datastore.uri.absolutePath()
    else:
        # No other way for now
        return

    # We will generate it on the fly without storing it after datastore
    # supports
    impact_report.output_folder = os.path.join(layer_dir, 'output')
    return impact_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
    def generate_pdf_report(self, impact_function, iface, scenario_name):
        """Generate and store map and impact report from impact function.

        Directory where the report stored is specified by user input from the
        dialog. This function is adapted from analysis_utilities.py

        :param impact_function: Impact Function.
        :type impact_function: ImpactFunction()

        :param iface: iface.
        :type iface: iface

        :param scenario_name: name of the scenario
        :type scenario_name: str
        """
        # output folder
        output_dir = self.output_directory.text()
        file_path = os.path.join(output_dir, scenario_name)

        # create impact table report instance
        table_report_metadata = ReportMetadata(
            metadata_dict=standard_impact_report_metadata_pdf)
        impact_table_report = ImpactReport(
            iface,
            table_report_metadata,
            impact_function=impact_function)
        impact_table_report.output_folder = file_path
        impact_table_report.process_components()

        # create impact map report instance
        map_report_metadata = ReportMetadata(
            metadata_dict=update_template_component(map_report))
        impact_map_report = ImpactReport(
            iface,
            map_report_metadata,
            impact_function=impact_function)
        # TODO: Get from settings file

        # get the extent of impact layer
        impact_map_report.qgis_composition_context.extent = \
            impact_function.impact.extent()
        impact_map_report.output_folder = file_path
        impact_map_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
def generate_impact_map_report(impact_function, iface):
    """Generate impact map pdf from impact function.

    :param impact_function: The impact function used.
    :type impact_function: ImpactFunction

    :param iface: QGIS QGisAppInterface instance.
    :type iface: QGisAppInterface
    """
    # create impact report instance
    report_metadata = ReportMetadata(
        metadata_dict=map_report_component(report_a4_blue))
    impact_report = ImpactReport(
        iface,
        report_metadata,
        impact_function=impact_function)

    # Get other setting
    logo_path = setting('organisation_logo_path', None, str)
    impact_report.inasafe_context.organisation_logo = logo_path

    disclaimer_text = setting('reportDisclaimer', None, str)
    impact_report.inasafe_context.disclaimer = disclaimer_text

    north_arrow_path = setting('north_arrow_path', None, str)
    impact_report.inasafe_context.north_arrow = north_arrow_path

    # get the extent of impact layer
    impact_report.qgis_composition_context.extent = \
        impact_function.impact.extent()

    # generate report folder

    # no other option for now
    # TODO: retrieve the information from data store
    if isinstance(impact_function.datastore.uri, QDir):
        layer_dir = impact_function.datastore.uri.absolutePath()
    else:
        # No other way for now
        return

    # We will generate it on the fly without storing it after datastore
    # supports
    impact_report.output_folder = os.path.join(layer_dir, 'output')
    return impact_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
def generate_infographic_report(impact_function, iface):
    """Generate impact map pdf from impact function.

    :param impact_function: The impact function used.
    :type impact_function: ImpactFunction

    :param iface: QGIS QGisAppInterface instance.
    :type iface: QGisAppInterface
    """
    # get the extra layers that we need
    extra_layers = []
    print_atlas = setting('print_atlas_report', False, bool)
    if print_atlas:
        extra_layers.append(impact_function.aggregation_summary)
    # create impact report instance
    report_metadata = ReportMetadata(
        metadata_dict=update_template_component(infographic_report))
    impact_report = ImpactReport(
        iface,
        report_metadata,
        impact_function=impact_function,
        extra_layers=extra_layers)

    # get the extent of impact layer
    impact_report.qgis_composition_context.extent = \
        impact_function.impact.extent()

    # generate report folder

    # no other option for now
    # TODO: retrieve the information from data store
    if isinstance(impact_function.datastore.uri, QDir):
        layer_dir = impact_function.datastore.uri.absolutePath()
    else:
        # No other way for now
        return

    # We will generate it on the fly without storing it after datastore
    # supports
    impact_report.output_folder = os.path.join(layer_dir, 'output')
    return impact_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
    def test_hello_world_report(self):
        """Test for creating hello world report.

        .. versionadded:: 4.1
        """
        QGIS_APP, CANVAS, IFACE, PARENT = get_qgis_app(qsetting=INASAFE_TEST)
        output_folder = self.fixtures_dir('../output/hello_world_report')

        # sneaky monkey patch
        ImpactFunction.outputs = ['Not implemented']
        impact_function = ImpactFunction()

        template_metadata = ReportMetadata(
            metadata_dict=hello_world_metadata_html)

        impact_report = ImpactReport(
            iface=IFACE,
            template_metadata=template_metadata,
            impact_function=impact_function)

        impact_report.output_folder = output_folder

        impact_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
def generate_impact_map_report(impact_function, iface):
    """Generate impact map pdf from impact function.

    :param impact_function: The impact function used.
    :type impact_function: ImpactFunction

    :param iface: QGIS QGisAppInterface instance.
    :type iface: QGisAppInterface
    """
    # get the extra layers that we need
    extra_layers = []
    print_atlas = setting('print_atlas_report', False, bool)
    if print_atlas:
        extra_layers.append(impact_function.aggregation_summary)

    # get the hazard and exposure type
    hazard_layer = impact_function.hazard
    exposure_layer = impact_function.exposure

    hazard_type = layer_definition_type(hazard_layer)
    exposure_type = layer_definition_type(exposure_layer)

    # create impact report instance
    report_metadata = ReportMetadata(
        metadata_dict=update_template_component(
            component=map_report,
            hazard=hazard_type,
            exposure=exposure_type))
    impact_report = ImpactReport(
        iface,
        report_metadata,
        impact_function=impact_function,
        extra_layers=extra_layers)

    # Get other setting
    logo_path = setting('organisation_logo_path', None, str)
    impact_report.inasafe_context.organisation_logo = logo_path

    disclaimer_text = setting('reportDisclaimer', None, str)
    impact_report.inasafe_context.disclaimer = disclaimer_text

    north_arrow_path = setting('north_arrow_path', None, str)
    impact_report.inasafe_context.north_arrow = north_arrow_path

    # get the extent of impact layer
    impact_report.qgis_composition_context.extent = \
        impact_function.impact.extent()

    # generate report folder

    # no other option for now
    # TODO: retrieve the information from data store
    if isinstance(impact_function.datastore.uri, QDir):
        layer_dir = impact_function.datastore.uri.absolutePath()
    else:
        # No other way for now
        return

    # We will generate it on the fly without storing it after datastore
    # supports
    impact_report.output_folder = os.path.join(layer_dir, 'output')
    return impact_report.process_components()

# 需要导入模块: from safe.report.impact_report import ImpactReport [as 别名]
# 或者: from safe.report.impact_report.ImpactReport import output_folder [as 别名]
    def test_earthquake_population_without_aggregation(self):
        """Testing Earthquake in Population without aggregation.

        .. versionadded:: 4.0
        """
        output_folder = self.fixtures_dir('../output/earthquake_population')

        # Classified vector with building-points
        shutil.rmtree(output_folder, ignore_errors=True)

        hazard_layer = load_test_raster_layer(
            'hazard', 'earthquake.tif')
        exposure_layer = load_test_raster_layer(
            'exposure', 'pop_binary_raster_20_20.asc')

        impact_function = ImpactFunction()
        impact_function.exposure = exposure_layer
        impact_function.hazard = hazard_layer
        impact_function.prepare()
        return_code, message = impact_function.run()

        self.assertEqual(return_code, ANALYSIS_SUCCESS, message)

        report_metadata = ReportMetadata(
            metadata_dict=standard_impact_report_metadata_html)

        impact_report = ImpactReport(
            IFACE,
            report_metadata,
            impact_function=impact_function)
        impact_report.output_folder = output_folder
        return_code, message = impact_report.process_components()

        self.assertEqual(
            return_code, ImpactReport.REPORT_GENERATION_SUCCESS, message)

        """Checking generated context"""
        empty_component_output_message = 'Empty component output'

        # Check Analysis Summary
        analysis_summary = impact_report.metadata.component_by_key(
            general_report_component['key'])
        """:type: safe.report.report_metadata.Jinja2ComponentsMetadata"""

        expected_context = {
            'table_header': (
                u'Estimated Number of people affected per MMI intensity'),
            'header': u'General Report',
            'summary': [
                {
                    'header_label': u'Hazard Zone',
                    'rows': [
                        {'value': 0, 'name': u'X', 'key': 'X'},
                        {'value': 0, 'name': u'IX', 'key': 'IX'},
                        {'value': '200', 'name': u'VIII', 'key': 'VIII'},
                        {'value': 0, 'name': u'VII', 'key': 'VII'},
                        {'value': 0, 'name': u'VI', 'key': 'VI'},
                        {'value': 0, 'name': u'V', 'key': 'V'},
                        {'value': 0, 'name': u'IV', 'key': 'IV'},
                        {'value': 0, 'name': u'III', 'key': 'III'},
                        {'value': 0, 'name': u'II', 'key': 'II'},
                        {'value': 0, 'name': u'I', 'key': 'I'},
                        {
                            'as_header': True,
                            'key': 'total_field',
                            'name': u'Total',
                            'value': '200'
                        }
                    ],
                    'value_label': u'Count'
                },
                {
                    'header_label': u'Population',
                    'rows': [
                        {
                            'value': '200',
                            'name': u'Affected',
                            'key': 'total_affected_field',
                        }, {
                            'key': 'total_not_affected_field',
                            'name': u'Not Affected',
                            'value': '0'
                        }, {
                            'key': 'total_not_exposed_field',
                            'name': u'Not Exposed',
                            'value': '0'},
                        {
                            'value': '200',
                            'name': u'Displaced',
                            'key': 'displaced_field'
                        }, {
                            'value': '0 - 100',
                            'name': u'Fatalities',
                            'key': 'fatalities_field'
                        }],
                    'value_label': u'Count'
                }
            ],
            'notes': [
                'Exposed People: People who are present in hazard zones and '
#.........这里部分代码省略.........