used outside time buffer in cmems_nc_to_ini(), expanded testbank (#1087)

* used outside time buffer in cmems_nc_to_ini()

* expanded testbank

* updated whatsnew

dfm_tools/modelbuilder.py

@@ -10,6 +10,7 @@
 from dfm_tools.interpolate_grid2bnd import (ext_add_boundary_object_per_polyline,
                                             open_prepare_dataset,
                                             ds_apply_conversion_dict,
+                                            _ds_sel_time_outside,
                                             )
 
 __all__ = [
@@ -110,10 +111,9 @@ def cmems_nc_to_ini(ext_old, dir_output, list_quantities, tstart, dir_pattern, c
 
     tstart_pd = pd.Timestamp(tstart)
     tstart_str = tstart_pd.strftime("%Y-%m-%d_%H-%M-%S")
+    # tstop_pd is slightly higher than tstart_pd to ensure >1 timesteps in all cases
+    tstop_pd = tstart_pd + pd.Timedelta(hours=1)
 
-    # FM needs two timesteps, so convert timestamp to two surrounding timestamps
-    tstart_round = pd.Timestamp(tstart).floor('1d')
-    tstop_round = (pd.Timestamp(tstart) + pd.Timedelta(hours=24)).ceil('1d')
     for quan_bnd in list_quantities:
 
         if quan_bnd in ["temperaturebnd","uxuyadvectionvelocitybnd"]:
@@ -145,7 +145,7 @@ def cmems_nc_to_ini(ext_old, dir_output, list_quantities, tstart, dir_pattern, c
 
         # subset two times. interp to tstart would be the proper way to do it, 
         # but FM needs two timesteps for nudge_salinity_temperature and initial waq vars
-        data_xr = data_xr.sel(time=slice(tstart_round, tstop_round))
+        data_xr = _ds_sel_time_outside(ds=data_xr, tstart=tstart_pd, tstop=tstop_pd)
 
         # assert that there are at least two timesteps in the resulting dataset
         # delft3dfm will crash if there is only one timestep

docs/whats-new.md

@@ -2,6 +2,9 @@
 
 ## UNRELEASED
 
+### Feat
+- usage of outside time buffer in `dfmt.cmems_nc_to_ini()` so noon-centered or monthly timestamps are also supported in [#1087](https://github.com/Deltares/dfm_tools/pull/1087)
+
 ### Fix
 - made p-drive paths for tide models and gesla3 work on linux also in [#1083](https://github.com/Deltares/dfm_tools/pull/1083) and [#1085](https://github.com/Deltares/dfm_tools/pull/1085)
 

tests/test_modelbuilder.py

@@ -38,12 +38,20 @@ def test_get_ncvarname_list():
     assert "quantity 'nonexistingbnd' not in conversion_dict" in str(e.value)
 
 
+@pytest.mark.parametrize("timecase", [pytest.param(x, id=x) for x in ['midnight','noon','monthly']])
 @pytest.mark.systemtest
-def test_cmems_nc_to_ini_midnight_centered(tmp_path):
+def test_cmems_nc_to_ini(tmp_path, timecase):
+    """
+    tests for midnight-centered data, noon-centered data and monthly timestamped data
+    """
     ds1 = cmems_dataset_4times().isel(time=slice(None,2))
-    ds1["time"] = ds1["time"] + pd.Timedelta(hours=12)
     ds2 = cmems_dataset_4times().isel(time=slice(2,None))
-    ds2["time"] = ds2["time"] + pd.Timedelta(hours=12)
+    if timecase == "midnight":
+        ds1["time"] = ds1["time"] + pd.Timedelta(hours=12)
+        ds2["time"] = ds2["time"] + pd.Timedelta(hours=12)
+    elif timecase == "monthly":
+        ds1["time"] = [pd.Timestamp("2019-11-01"), pd.Timestamp("2019-12-01")]
+        ds2["time"] = [pd.Timestamp("2020-01-01"), pd.Timestamp("2020-02-01")]
 
     dir_pattern = os.path.join(tmp_path, "temp_cmems_2day_*.nc")
     file_nc1 = dir_pattern.replace("*","so_p1")
@@ -67,8 +75,13 @@ def test_cmems_nc_to_ini_midnight_centered(tmp_path):
 
     file_expected = tmp_path / "nudge_salinity_temperature_2020-01-01_00-00-00.nc"
 
-    times_expected =  ['2020-01-01 00:00:00', '2020-01-02 00:00:00']
-
+    if timecase == "midnight":
+        times_expected =  ['2020-01-01 00:00:00', '2020-01-02 00:00:00']
+    elif timecase == "noon":
+        times_expected =  ['2019-12-31 12:00:00', '2020-01-01 12:00:00']
+    elif timecase == "monthly":
+        times_expected =  ['2020-01-01 00:00:00', '2020-02-01 00:00:00']
+
     assert os.path.exists(file_expected)
     ds_out = xr.open_dataset(file_expected)