def execute(self, parameters, messages):
AddMessage('{}; {}; {};'.format(
parameters[reproject_from_db].valueAsText,
parameters[reproject_to_db].valueAsText,
parameters[reproject_projection].valueAsText))
from_db = parameters[reproject_from_db].valueAsText
to_db = parameters[reproject_to_db].valueAsText
projection = parameters[reproject_projection].valueAsText
#run the functions
Geodatabase.clean(to_db)
if not Exists(projection):
AddMessage('Projection file {} does not exist'.format(projection))
return
def foreach_layer(from_dataset_path, to_dataset_path, feature_class):
from_feature_path = '{}/{}'.format(from_dataset_path, feature_class)
to_feature_path = '{}/{}'.format(to_dataset_path, feature_class)
AddMessage('Reprojecting Featureclass: {}'.format(from_feature_path))
if Exists(to_feature_path):
AddMessage('Skipping feature class {} because it already exists'.format(to_feature_path))
return
FeatureClassToFeatureClass_conversion(from_feature_path, to_dataset_path, feature_class)
#call the create datasets function passing the foreach layer function to it
Geodatabase.process_datasets(from_db,
to_db,
projection,
foreach_layer = foreach_layer)
def execute(self, parameters, messages):
AddMessage('{}; {}; {};'.format(
parameters[clip_from_db].valueAsText,
parameters[clip_to_db].valueAsText,
parameters[clip_projection].valueAsText))
from_db = parameters[clip_from_db].valueAsText
to_db = parameters[clip_to_db].valueAsText
projection = parameters[clip_projection].valueAsText
clip_layer = parameters[clip_clip_layer].valueAsText
#run the functions
Geodatabase.clean(to_db)
if not Exists(projection):
AddMessage('Projection file {} does not exist'.format(projection))
return
def foreach_layer(from_dataset_path, to_dataset_path, feature_class):
from_feature_path = '{}/{}'.format(from_dataset_path, feature_class)
to_feature_path = '{}/{}'.format(to_dataset_path, feature_class)
AddMessage('Copying Featureclass: {}'.format(from_feature_path))
if Exists(to_feature_path):
AddMessage('Skipping feature class {} because it already exists'.format(to_feature_path))
return
AddMessage('Clipping Featureclass: {}'.format(from_feature_path))
Clip_analysis('{}/{}'.format(from_dataset_path, feature_class),
clip_layer, 'in_memory/{}'.format(feature_class))
FeatureClassToFeatureClass_conversion(
'in_memory/{}'.format(feature_class), to_dataset_path, feature_class)
Delete_management('in_memory/{}'.format(feature_class))
Geodatabase.process_datasets(from_db,
to_db,
projection,
foreach_layer=foreach_layer)
