def test_from_data(data):
d = Datasource(name="testing_123")
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()
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["time_resolution"] == "1_minute"
assert metadata["inlet"] == "248m"
assert d_2.to_data() == d.to_data()
def test_to_data(data):
d = Datasource(name="testing_123")
metadata = data["ch4"]["metadata"]
ch4_data = data["ch4"]["data"]
assert ch4_data["ch4"][0] == pytest.approx(1960.24)
assert ch4_data["ch4 stdev"][0] == pytest.approx(0.236)
assert ch4_data["ch4 n_meas"][0] == pytest.approx(26.0)
d.add_data(metadata=metadata, data=ch4_data, data_type="timeseries")
obj_data = d.to_data()
metadata = obj_data["metadata"]
assert obj_data["name"] == "testing_123"
assert metadata["site"] == "bsd"
assert metadata["instrument"] == "picarro"
assert metadata["time_resolution"] == "1_minute"
assert metadata["inlet"] == "248m"
assert obj_data["data_type"] == "timeseries"
assert len(obj_data["data_keys"]) == 0
