Parse forcing precision (#210)

* Default for baro should be set to 1! As is default in SFINCS itself, otherwise any pressure input is ignored....

* cahnge default value also in test-inputs

* added option to parse precision of forcing timeseries

* remove "auto" derivation of timeseries format because it's prone to errors

* fix tests

---------

Co-authored-by: Tim Leijnse <timleynse94@gmail.com>

hydromt_sfincs/sfincs.py

@@ -3113,22 +3113,24 @@ def read_forcing(self, data_vars: List = None):
             else:
                 logger.warning(f"No forcing variables found in {fname}file")
 
-    def write_forcing(self, data_vars: Union[List, str] = None):
+    def write_forcing(self, data_vars: Union[List, str] = None, fmt: str = "%7.2f"):
         """Write forcing to ascii or netcdf (netampr) files.
         Filenames are based on the `config` attribute.
 
         Parameters
         ----------
         data_vars : list of str, optional
             List of data variables to write, by default None (all)
+        fmt : str, optional
+            Format string for timeseries data, by default "%7.2f".
         """
         self._assert_write_mode
 
         # change precision of coordinates according to crs
         if self.crs.is_geographic:
-            fmt = "%.6f"
+            fmt_xy = "%.6f"
         else:
-            fmt = "%.1f"
+            fmt_xy = "%.1f"
 
         if self.forcing:
             self.logger.info("Write forcing files")
@@ -3166,7 +3168,7 @@ def write_forcing(self, data_vars: Union[List, str] = None):
                         self.set_config(f"{ts_name}file", f"sfincs.{ts_name}")
                     fn = self.get_config(f"{ts_name}file", abs_path=True)
                     # write timeseries
-                    utils.write_timeseries(fn, df, tref)
+                    utils.write_timeseries(fn, df, tref, fmt=fmt)
                 # write xy
                 if xy_name and da is not None:
                     # parse data to geodataframe
@@ -3179,7 +3181,7 @@ def write_forcing(self, data_vars: Union[List, str] = None):
                         self.set_config(f"{xy_name}file", f"sfincs.{xy_name}")
                     fn_xy = self.get_config(f"{xy_name}file", abs_path=True)
                     # write xy
-                    hydromt.io.write_xy(fn_xy, gdf, fmt=fmt)
+                    hydromt.io.write_xy(fn_xy, gdf, fmt=fmt_xy)
                     if self._write_gis:  # write geojson file to gis folder
                         self.write_vector(variables=f"forcing.{ts_names[0]}")
 

tests/test_1model_class.py

@@ -359,6 +359,37 @@ def test_observations(tmpdir):
     assert len(mod.geoms["crs"].index) == nr_observation_lines * 2
 
 
+def test_forcing_io(tmpdir):
+    root = TESTMODELDIR
+    mod = SfincsModel(root=root, mode="r")
+    # read
+    mod.read_forcing()
+
+    # write forcing
+    tmp_root = str(tmpdir.join("forcing_test"))
+    mod.set_root(tmp_root, mode="w")
+    mod.write_forcing()
+    mod.write_config()
+
+    # read and check if identical
+    mod1 = SfincsModel(root=tmp_root, mode="r")
+    mod1.read_forcing()
+    assert np.allclose(mod1.forcing["bzs"], mod.forcing["bzs"])
+
+    # now change the timeseries-format and write again
+    tmp_root = str(tmpdir.join("forcing_test2"))
+    mod1.set_root(tmp_root, mode="w+")
+    mod1.write_forcing(fmt="%7.1f")
+    mod1.write_config()
+
+    # read and check if identical
+    mod2 = SfincsModel(root=tmp_root, mode="r")
+    mod2.read_forcing()
+    assert np.isclose(
+        np.sum(mod2.forcing["bzs"].values - mod1.forcing["bzs"].values), 0.73
+    )
+
+
 def test_read_results():
     root = TESTMODELDIR
     mod = SfincsModel(root=root, mode="r")