本文整理汇总了Python中safe.metadata.ImpactLayerMetadata.append_provenance_step方法的典型用法代码示例。如果您正苦于以下问题：Python ImpactLayerMetadata.append_provenance_step方法的具体用法？Python ImpactLayerMetadata.append_provenance_step怎么用？Python ImpactLayerMetadata.append_provenance_step使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类safe.metadata.ImpactLayerMetadata的用法示例。
在下文中一共展示了ImpactLayerMetadata.append_provenance_step方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: generate_test_metadata
# 需要导入模块: from safe.metadata import ImpactLayerMetadata [as 别名]
# 或者: from safe.metadata.ImpactLayerMetadata import append_provenance_step [as 别名]
def generate_test_metadata(self):
# if you change this you need to update IMPACT_TEST_FILE_JSON
good_data = {
'start_time': '20140714_060955',
'finish_time': '20140714_061255',
'hazard_layer': 'path/to/hazard/layer',
'exposure_layer': 'path/to/exposure/layer',
'impact_function_id': 'IF_id',
'impact_function_version': '2.1',
'host_name': 'my_computer',
'user': 'my_user',
'qgis_version': '2.4',
'gdal_version': '1.9.1',
'qt_version': '4.5',
'pyqt_version': '5.1',
'os': 'ubuntu 12.04',
'inasafe_version': '2.1',
'exposure_pixel_size': '0.1',
'hazard_pixel_size': '0.2',
'impact_pixel_size': '0.1',
'actual_extent': [0, 1, 2, 2],
'requested_extent': [0, 1, 2, 2],
'actual_extent_crs': 'EPSG: 4326',
'requested_extent_crs': 'EPSG: 4326',
'parameter': {},
}
metadata = ImpactLayerMetadata('random_layer_id')
path = TEST_XML_BASEPATH + 'gco:CharacterString'
# using str
test_value = 'Random string'
metadata.set('ISO19115_STR', test_value, path)
test_value = 1234
metadata.set('ISO19115_INT', test_value, path)
test_value = 1234.5678
metadata.set('ISO19115_FLOAT', test_value, path)
metadata.report = 'My super report'
metadata.summary_data = {'res1': 1234, 'res2': 4321}
metadata.date = datetime.strptime(
'2016-02-18T12:34:56', '%Y-%m-%dT%H:%M:%S')
metadata.url = QUrl('http://inasafe.org')
metadata.append_provenance_step(
'Title 1', 'Description of step 1', '2015-06-25T13:14:24.508974')
metadata.append_provenance_step(
'Title 2', 'Description of step 2', '2015-06-25T13:14:24.508980')
metadata.append_provenance_step(
'Title 3', 'Description of step 3', '2015-06-25T13:14:24.508984')
metadata.append_if_provenance_step(
'IF Provenance',
'IF Provenance',
'2015-06-25T13:14:24.510000',
good_data
)
return metadata示例2: generate_test_metadata
# 需要导入模块: from safe.metadata import ImpactLayerMetadata [as 别名]
# 或者: from safe.metadata.ImpactLayerMetadata import append_provenance_step [as 别名]
def generate_test_metadata(self):
# if you change this you need to update IMPACT_TEST_FILE_JSON
metadata = ImpactLayerMetadata('random_layer_id')
path = 'gmd:MD_Metadata/gmd:dateStamp/'
path = TEST_XML_BASEPATH + 'gco:CharacterString'
# using str
test_value = 'Random string'
metadata.set('ISO19115_STR', test_value, path)
test_value = 1234
metadata.set('ISO19115_INT', test_value, path)
test_value = 1234.5678
metadata.set('ISO19115_FLOAT', test_value, path)
metadata.report = 'My super report'
metadata.summary_data = {'res1': 1234, 'res2': 4321}
metadata.append_provenance_step(
'Title 1', 'Description of step 1', '2015-06-25T13:14:24.508974')
metadata.append_provenance_step(
'Title 2', 'Description of step 2', '2015-06-25T13:14:24.508980')
metadata.append_provenance_step(
'Title 3', 'Description of step 3', '2015-06-25T13:14:24.508984')
return metadata