From 45521ae45927556d1dbf2065efcdc0704076b47f Mon Sep 17 00:00:00 2001 From: lbesnard Date: Tue, 24 Aug 2021 12:57:08 +1000 Subject: [PATCH] (Fix) Burst Average code failing with ALL bad qc flag variable - fix https://github.com/aodn/content/issues/453 --- aodndata/moorings/burst_average.py | 7 ++++--- ...END-20180509T233213Z_C-20190308T030455Z.nc | Bin 0 -> 1280738 bytes test_aodndata/moorings/test_burst_average.py | 14 ++++++++++++++ 3 files changed, 18 insertions(+), 3 deletions(-) create mode 100644 test_aodndata/moorings/IMOS_ANMN-NRS_FZ_20170929T003418Z_NRSYON_FV01_NRSYON-1709-SRF-ECO-PARSB-1.1_END-20180509T233213Z_C-20190308T030455Z.nc diff --git a/aodndata/moorings/burst_average.py b/aodndata/moorings/burst_average.py index aef5947c..4542fa75 100755 --- a/aodndata/moorings/burst_average.py +++ b/aodndata/moorings/burst_average.py @@ -58,19 +58,20 @@ def create_burst_average_var(netcdf_file_obj): def trim_timestamps_burst_vars(burst_vars): """ - Trip timestamps at the start and end of a FV02 file when all FV02 variables + Trim timestamps at the start and end of a FV02 file when all FV02 variables have a NaN value. In details, for every burst var created, look for the first index of non NaN value. The lower value will be the one kept, and the new start index of each burst variable including the TIME. """ min_index = None - for var in burst_vars.keys(): + for var in list(burst_vars.keys()): var_mean_burst = burst_vars[var]['var_mean'] # first non TIME product if not np.isnan(var_mean_burst).all(): min_index_var = next(x for x, y in enumerate(var_mean_burst) if not isnan(y)) else: - min_index_var = 0 + del burst_vars[var] # if var only has nan, removing it from burst average file + continue if min_index is None: min_index = min_index_var diff --git a/test_aodndata/moorings/IMOS_ANMN-NRS_FZ_20170929T003418Z_NRSYON_FV01_NRSYON-1709-SRF-ECO-PARSB-1.1_END-20180509T233213Z_C-20190308T030455Z.nc b/test_aodndata/moorings/IMOS_ANMN-NRS_FZ_20170929T003418Z_NRSYON_FV01_NRSYON-1709-SRF-ECO-PARSB-1.1_END-20180509T233213Z_C-20190308T030455Z.nc new file mode 100644 index 0000000000000000000000000000000000000000..4c3439d924bf0d529154619936c0ba5e67a400f7 GIT binary patch literal 1280738 zcmeF42Vh&}*|tyO1d`_$qE_;vvzV26YtR(P3*WdsDtbQL?-si}dq_cF!$_OivoP(}k>MYeqXPFUuvgcp 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dict(TEMP=ma.masked_values([-999, -999, -999, -999, 4., 5., 11., 17.], -999), TEMP_num_obs=ma.array([0, 0, 0, 0, 61, 61, 11, 21]), TEMP_burst_max=ma.masked_values([-999, -999, -999, -999, 4., 5., 16., 27.], -999), @@ -32,6 +38,14 @@ def test_burst_average(self): for var, values in STATS.items(): self.assertTrue(np.isclose(values, ds.variables[var][:N_COMP]).all()) + def test_burst_average_bad_flag(self): + """ + testing burst code with input NetCDF containing all bad qc flags for the Depth variable + """ + averaged_file = create_burst_average_netcdf(INPUT_DEPTH_ALL_BAD_FLAG_FILE, self.temp_dir) + ds = Dataset(averaged_file) + self.assertTrue('DEPTH' not in ds.variables) # depth variable removed from dataset since only containing NaNs + if __name__ == '__main__': unittest.main()

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