def test_to_data(data):
d = Datasource()
metadata = data["ch4"]["metadata"]
ch4_data = data["ch4"]["data"]
d.add_data(metadata=metadata, data=ch4_data, data_type="timeseries")
obj_data = d.to_data()
metadata = obj_data["metadata"]
assert metadata["site"] == "bsd"
assert metadata["instrument"] == "picarro"
assert metadata["sampling_period"] == "60"
assert metadata["inlet"] == "248m"
assert metadata["data_type"] == "timeseries"
assert len(obj_data["data_keys"]) == 0
def test_from_data(data):
d = Datasource()
metadata = data["ch4"]["metadata"]
ch4_data = data["ch4"]["data"]
d.add_data(metadata=metadata, data=ch4_data, data_type="timeseries")
d.save()
obj_data = d.to_data()
bucket = get_local_bucket()
# Create a new object with the data from d
d_2 = Datasource.from_data(bucket=bucket, data=obj_data, shallow=False)
metadata = d_2.metadata()
assert metadata["site"] == "bsd"
assert metadata["instrument"] == "picarro"
assert metadata["sampling_period"] == "60"
assert metadata["inlet"] == "248m"
assert sorted(d_2.data_keys()) == sorted(d.data_keys())
assert d_2.metadata() == d.metadata()
