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):
from_db = parameters[reproject_from_db].valueAsText
to_db = parameters[reproject_to_db].valueAsText
projection = parameters[reproject_projection].valueAsText
skip_empty = parameters[reproject_skip_empty].valueAsText
AddMessage('Tool received parameters: {}'.format(', '.join(
[p.valueAsText for p in parameters])))
from arcpy import env, Exists
if skip_empty == 'true':
env.skipEmpty = True
else:
env.skipEmpty = False
#run the functions
if not Exists(projection):
AddMessage('Projection file {} does not exist'.format(projection))
return
# just set the output coordinate system and outputs
# will be projected :)
env.skipAttach = True
env.outputCoordinateSystem = projection
#call the create datasets function passing the foreach layer function to it
Geodatabase.process_datasets(from_db, to_db, None, None, None)
def reproject(self, from_db, to_db, projection):
# just set the output coordinate system and outputs
# will be projected :)
from arcpy import env
env.outputCoordinateSystem = projection
#run the functions
if not Exists(projection):
AddMessage('Projection file {} does not exist'.format(projection))
return
#call the create datasets function passing the foreach layer function to it
Geodatabase.process_datasets(from_db, to_db)
def clip(self, from_db, to_db, projection, clip_layer):
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.split('.')[-1:][0])
Clip_analysis('{}/{}'.format(from_dataset_path, feature_class), clip_layer, to_feature_path)
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)