def test_read_file(npl_data):
parsed_surface_metachecker(data=npl_data)
co2_data = npl_data["CO2"]["data"]
ch4_data = npl_data["CH4"]["data"]
assert check_cf_compliance(dataset=co2_data)
assert co2_data.time[0] == pd.Timestamp("2020-06-12")
assert co2_data["co2"][0] == pytest.approx(424.1672774)
assert co2_data.time[-1] == pd.Timestamp("2020-07-01T00:24:00")
assert co2_data["co2"][-1] == pytest.approx(419.9544809)
assert ch4_data.time[0] == pd.Timestamp("2020-06-12")
assert ch4_data["ch4"][0] == pytest.approx(2004.462127)
assert ch4_data.time[-1] == pd.Timestamp("2020-07-01T00:24:00")
assert ch4_data["ch4"][-1] == pytest.approx(1910.546256)
def test_read_file():
filepath = get_datapath(filename="THB_hourly_means_test.csv",
data_type="Cranfield_CRDS")
data = parse_cranfield(data_filepath=filepath, sampling_period="1200")
assert sorted(list(data.keys())) == sorted(["co2", "co", "ch4"])
ch4_data = data["ch4"]["data"]
co2_data = data["co2"]["data"]
co_data = data["co"]["data"]
assert check_cf_compliance(dataset=co2_data)
assert ch4_data["ch4"][0] == pytest.approx(2585.6510)
assert ch4_data["ch4 variability"][0] == pytest.approx(75.502187065)
assert co_data["co"][0] == pytest.approx(289.697545)
assert co_data["co variability"][0] == pytest.approx(6.999084)
assert co2_data["co2"][0] == pytest.approx(460.573223)
assert co2_data["co2 variability"][0] == pytest.approx(0.226956417)
parsed_surface_metachecker(data=data)
def test_noaa_site_filename_cf_compliance(scsn06_data):
ch4_data = scsn06_data["ch4"]["data"]
assert check_cf_compliance(dataset=ch4_data)
def test_thd_cf_compliance(thd_data):
meas_data = thd_data["ch4_10m"]["data"]
assert check_cf_compliance(dataset=meas_data)
def test_crds_cf_compliance(crds_data):
ch4_data = crds_data["ch4"]["data"]
assert check_cf_compliance(dataset=ch4_data)
def test_btt_cf_compliance(btt_data):
co2_data = btt_data["CO2"]["data"]
assert check_cf_compliance(dataset=co2_data)
def test_tmb_cf_compliance(tmb_data):
co_data = tmb_data["CO"]["data"]
assert check_cf_compliance(dataset=co_data)
def test_npl_cf_compliance(npl_data):
co2_data = npl_data["CO2"]["data"]
assert check_cf_compliance(dataset=co2_data)