def test_full_copy_2(self):
with TemporaryDirectory() as tmp_dir:
cat = Catalog(id='test', description='test catalog')
image_item = Item(id='Imagery',
geometry=RANDOM_GEOM,
bbox=RANDOM_BBOX,
datetime=datetime.utcnow(),
properties={})
for key in ['ortho', 'dsm']:
image_item.add_asset(
key, Asset(href='some/{}.tif'.format(key), media_type=MediaType.GEOTIFF))
label_item = LabelItem(
id='Labels',
geometry=RANDOM_GEOM,
bbox=RANDOM_BBOX,
datetime=datetime.utcnow(),
properties={},
label_description='labels',
label_type='vector',
label_properties='label',
label_classes=[LabelClasses(classes=['one', 'two'], name='label')],
label_tasks=['classification'])
label_item.add_source(image_item, assets=['ortho'])
cat.add_items([image_item, label_item])
cat.normalize_hrefs(os.path.join(tmp_dir, 'catalog-full-copy-2-source'))
cat.save(catalog_type=CatalogType.ABSOLUTE_PUBLISHED)
cat2 = cat.full_copy()
cat2.normalize_hrefs(os.path.join(tmp_dir, 'catalog-full-copy-2-dest'))
cat2.save(catalog_type=CatalogType.ABSOLUTE_PUBLISHED)
self.check_catalog(cat, 'source')
self.check_catalog(cat2, 'dest')
def test_case_3():
root_cat = Catalog(id='test3', description='test case 3 catalog', title='test case 3 title')
image_item = Item(id='imagery-item',
geometry=RANDOM_GEOM,
bbox=RANDOM_BBOX,
datetime=datetime.utcnow(),
properties={})
image_item.add_asset('ortho', Asset(href='some/geotiff.tiff', media_type=MediaType.GEOTIFF))
overviews = [LabelOverview('label', counts=[LabelCount('one', 1), LabelCount('two', 2)])]
label_item = LabelItem(id='label-items',
geometry=RANDOM_GEOM,
bbox=RANDOM_BBOX,
datetime=datetime.utcnow(),
properties={},
label_description='ML Labels',
label_type='vector',
label_properties=['label'],
label_classes=[LabelClasses(classes=['one', 'two'], name='label')],
label_tasks=['classification'],
label_methods=['manual'],
label_overviews=overviews)
label_item.add_source(image_item, assets=['ortho'])
root_cat.add_item(image_item)
root_cat.add_item(label_item)
return root_cat
def create_label_item(item):
# Assumes the GEOJSON labels are in the
# same location as the image
img_href = item.assets['ortho'].href
label_href = '{}.geojson'.format(os.path.splitext(img_href)[0])
label_item = LabelItem(
id='Labels',
geometry=item.geometry,
bbox=item.bbox,
datetime=datetime.utcnow(),
properties={},
label_description='labels',
label_type='vector',
label_properties='label',
label_classes=[LabelClasses(classes=['one', 'two'], name='label')],
label_tasks=['classification'])
label_item.add_source(item, assets=['ortho'])
label_item.add_geojson_labels(label_href)
return [item, label_item]