def test_layer_load():
l = Layer(id_hash='25dcb710-6b85-4bfa-b09b-e4c70c33f381')
ds = l.dataset()
load_path = f'./tests'
loaded = l.load(path=load_path, check=True)
assert loaded.id == '25dcb710-6b85-4bfa-b09b-e4c70c33f381'
os.remove(load_path+f"/{ds.id}.json")
def test_clone_and_delete_layer():
l = Layer(id_hash='25dcb710-6b85-4bfa-b09b-e4c70c33f381')
ds_id = '7cf3fab2-3fbe-4980-b572-712207b2c8c7'
cloned = l.clone(token=API_TOKEN, layer_params={
'name': f'Template Layer CLONED',
'published': False
}, target_dataset_id=ds_id)
assert cloned.attributes['name'] == f'Template Layer CLONED'
assert cloned.id is not '25dcb710-6b85-4bfa-b09b-e4c70c33f381'
assert cloned.delete(token=API_TOKEN, force=True) == None
def test_merge_layer():
staging_layer = Layer('626e08ed-15b5-499a-8a46-9a5cb52d0a30', server='https://staging-api.globalforestwatch.org')
staging_layer.update(token=API_TOKEN, update_params={
'name': 'Template Layer Staging',
'iso': [],
'layerConfig': {},
'legendConfig': {},
'applicationConfig': {},
'interactionConfig': {}
})
production_layer = Layer('25dcb710-6b85-4bfa-b09b-e4c70c33f381')
whitelist = [
'layerConfig',
'legendConfig',
'applicationConfig',
'interactionConfig',
'description',
'iso',
'application',
'provider',
'published'
]
merged_layer = production_layer.merge(token=API_TOKEN,
target_layer=None,
target_layer_id='626e08ed-15b5-499a-8a46-9a5cb52d0a30',
target_server='https://staging-api.globalforestwatch.org',
key_whitelist=whitelist,
force=True)
merged_atts = {k:v for k,v in merged_layer.attributes.items() if k in whitelist}
production_atts = {k:v for k,v in production_layer.attributes.items() if k in whitelist}
assert merged_atts == production_atts
def test_create_and_delete_layer():
ds_id = '7cf3fab2-3fbe-4980-b572-712207b2c8c7'
l_payload = {
"name": f'Created Layer TEST',
"dataset": ds_id,
"description": "",
"application": [
"gfw"
],
"iso": [],
"provider": "gee",
"published": False,
"default": False,
"env": "production",
"layerConfig": {},
"legendConfig": {},
"interactionConfig": {},
"applicationConfig": {}
}
new = Layer(token=API_TOKEN, attributes=l_payload)
assert new.attributes['name'] == f'Created Layer TEST'
assert new.delete(token=API_TOKEN, force=True) == None
def test_update_layer():
l = Layer(id_hash='25dcb710-6b85-4bfa-b09b-e4c70c33f381')
updated = l.update(token=API_TOKEN, update_params={'name': f'Template Layer UPDATED'})
assert updated.attributes['name'] == f'Template Layer UPDATED'
updated = l.update(token=API_TOKEN, update_params={'name': f'Template Layer'})
assert updated.attributes['name'] == 'Template Layer'
def test_layer_save():
l = Layer(id_hash='25dcb710-6b85-4bfa-b09b-e4c70c33f381')
ds = l.dataset()
save_path = './tests'
l.save(path=save_path)
assert os.path.exists(save_path+f"/{ds.id}.json") == True
def test_layer_intersect():
l = Layer(id_hash='f13f86cb-08b5-4e6c-bb8d-b4782052f9e5')
g = Geometry(parameters={'iso': 'BRA', 'adm1': 1, 'adm2': 1})
i = l.intersect(g)
assert type(i) == dict
def test_get_layer_dataset():
l = Layer(id_hash='25dcb710-6b85-4bfa-b09b-e4c70c33f381')
ds = l.dataset()
assert ds.id == '7cf3fab2-3fbe-4980-b572-712207b2c8c7'
def test_layer_query():
ly = Layer(id_hash='2942c28e-e5b4-4003-83ad-93a2566dc6cd')
df = ly.query()
assert len(df) > 0
df = ly.query("SELECT * FROM data LIMIT 10")
assert len(df) == 10
def test_layer_creation():
ly = Layer(id_hash='dc6f6dd2-0718-4e41-81d2-109866bb9edd')
assert ly is not None