Improved functionality of boundary conditions (#120)

Fixed:
- #109 units are added for water levels (m+Ref) and discharge (m3/s).
Not ideal (maybe we would like to configure this somewhere instead of
hardcoding?), but a good starting point.
- #117 guassian shaped timeseries can be added (and copied to all
points)
- improved a bit on stuff discussed in #110 

Also added:
- enabled downloading from NOAA waterlevels from API
- enabled loading geojsons and shapefiles (both for discharge and
waterlevels)
- added the guassian shaped option for discharges as well

src/delftdashboard/models/sfincs_hmt/boundary_conditions_dis.py

@@ -1,6 +1,6 @@
-import shapely
-import pandas as pd
 import geopandas as gpd
+import numpy as np
+import pandas as pd
 
 from delftdashboard.app import app
 from delftdashboard.operations import map
@@ -9,22 +9,43 @@
 def select(*args):
     # Set all layer inactive, except discharge_points
     map.update()
-    app.map.layer["sfincs_hmt"].layer["discharge_points"].activate()
     app.map.layer["sfincs_hmt"].layer["mask"].activate()
+    app.map.layer["sfincs_hmt"].layer["discharge_points"].activate()
     update_list()
 
 
 def add_discharge_point(gdf, merge=True):
     model = app.model["sfincs_hmt"].domain
 
-    # add to existing discharge conditions
-    model.set_forcing_1d(gdf_locs=gdf, name="dis", merge=merge)
-
+    nr_dis = 0
+    if "dis" in model.forcing:
+        nr_dis = len(model.forcing["dis"].index)
+    try:
+        # add to existing discharge conditions
+        model.set_forcing_1d(gdf_locs=gdf, name="dis", merge=merge)
+        nr_dis_new = len(model.forcing["dis"].index)
+        if nr_dis_new > nr_dis:
+             app.gui.window.dialog_info(
+                text="Added {} discharge points".format(nr_dis_new - nr_dis),
+                title="Success",
+            )
+        else:
+            app.gui.window.dialog_info(
+                text="No new discharge points added",
+                title="Failed",
+            )
+    except ValueError as e:
+        app.gui.window.dialog_info(
+            text=e.args[0],
+            title="Error",
+        )
+        return
+
     # retrieve all discharge points as gdf from xarray
     gdf = model.forcing["dis"].vector.to_gdf()
 
     # get the last index of the gdf
-    index = int(gdf.index[-1])
+    index = len(gdf.index) - 1
 
     app.map.layer["sfincs_hmt"].layer["discharge_points"].set_data(gdf, index)
     app.gui.setvar("sfincs_hmt", "active_discharge_point", index)
@@ -36,41 +57,55 @@ def add_discharge_point_on_map(*args):
 
 
 def point_clicked(x, y):
-    # Add point to discharge conditions
     model = app.model["sfincs_hmt"].domain
 
     # create gdf from xy
     geometry = gpd.points_from_xy([x], [y])
     gdf = gpd.GeoDataFrame(geometry=geometry, crs=app.crs)
 
     if "dis" in model.forcing:
-        # make sure new point gets an index that doesnt exist in model.forcing["dis"]
+        # make sure new point gets an index that doesnt exist in model.forcing["bzs"]
         index = int(model.forcing["dis"].index[-1]) + 1
         # set index of gdf
         gdf.index = [index]
 
-    # add to existing discharge conditions
-    model.set_forcing_1d(gdf_locs=gdf, name="dis", merge=True)
+    add_discharge_point(gdf)
 
-    # retrieve all discharge points as gdf from xarray
-    gdf = model.forcing["dis"].vector.to_gdf()
+def load_from_file(*args):
+    """" Load discharge points from file """
+    fname = app.gui.window.dialog_open_file(
+        "Select file with discharge points ...",
+        filter="*.geojson *.shp",
+    )
+    if fname[0]:
+        # for .pol files we assume that they are in the coordinate system of the current map
+        gdf = app.model["sfincs_hmt"].domain.data_catalog.get_geodataframe(fname[0])
+        gdf = gdf.to_crs(app.crs)
 
-    # get the last index of the gdf
-    index = int(gdf.index[-1])
-
-    app.map.layer["sfincs_hmt"].layer["discharge_points"].set_data(gdf, index)
-    app.gui.setvar("sfincs_hmt", "active_discharge_point", index)
-    update_list()
+        add_discharge_point(gdf)
 
 
 def select_discharge_point_from_list(*args):
+    model = app.model["sfincs_hmt"].domain
     index = app.gui.getvar("sfincs_hmt", "active_discharge_point")
+
+    # get maximum values of the model
+    dis = model.forcing["dis"].values[:,index].max()
+    app.gui.setvar("sfincs_hmt", "bc_dis_value", dis)
+
     app.map.layer["sfincs_hmt"].layer["discharge_points"].select_by_index(index)
 
 
 def select_discharge_point_from_map(*args):
+    model = app.model["sfincs_hmt"].domain
+
     index = args[0]["id"]
     app.gui.setvar("sfincs_hmt", "active_discharge_point", index)
+
+    # get maximum values of the model
+    dis = model.forcing["dis"].values[:,index].max()
+    app.gui.setvar("sfincs_hmt", "bc_dis_value", dis)
+
     app.gui.window.update()
 
 
@@ -79,7 +114,7 @@ def delete_point_from_list(*args):
     index = app.gui.getvar("sfincs_hmt", "active_discharge_point")
 
     # delete point from model forcing
-    model.forcing["dis"] = model.forcing["dis"].drop_sel(index=index)
+    model.forcing["dis"] = model.forcing["dis"].drop_isel(index=index)
 
     if len(model.forcing["dis"].index) == 0:
         # if no points are left, drop the forcing
@@ -109,29 +144,88 @@ def update_list():
     gdf = app.map.layer["sfincs_hmt"].layer["discharge_points"].data
     discharge_point_names = []
 
-    if gdf is None:
-        index = 0
-    else:
+    nr_points = 0
+    if gdf is not None:
         # Loop through discharge points
         for index, row in gdf.iterrows():
+            nr_points += 1
             # Get the name of the discharge point if present
-            if "name" in row:
+            if "name" in row and not pd.isna(row["name"]):
                 discharge_point_names.append(row["name"])
             else:
                 discharge_point_names.append("Point {}".format(index))
 
     app.gui.setvar("sfincs_hmt", "discharge_point_names", discharge_point_names)
-    app.gui.setvar("sfincs_hmt", "nr_discharge_points", index)
+    app.gui.setvar("sfincs_hmt", "nr_discharge_points", nr_points)
     app.gui.window.update()
 
+## Add timeseries to the boundary points
+
+def add_constant_discharge(*args):
+    """Add constant discahrge to the selected point."""
+    index = app.gui.getvar("sfincs_hmt", "active_discharge_point")
+    value = app.gui.getvar("sfincs_hmt", "bc_dis_value")
+
+    # get the model
+    model = app.model["sfincs_hmt"].domain
+    # convert start and stop time to seconds
+    tstart = model.config["tstart"]
+    tstop = model.config["tstop"]
+
+    # make constant timeseries
+    duration = (tstop - tstart).total_seconds()
+    tt = np.arange(0, duration + 1, duration)
+    # values with same length as tt
+    ts = value * np.ones(len(tt))
 
-def go_to_observation_stations(*args):
+    # get forcing locations in the model
+    gdf_locs = model.forcing["dis"].vector.to_gdf()
+    model_index = gdf_locs.index[index]
 
-    toolbox_name = "observation_stations"
+    # convert to pandas dataframe
+    df_ts = pd.DataFrame({model_index: ts}, index=tt)
+
+    # replace the boundary condition of the selected point
+    model.set_forcing_1d(df_ts = df_ts, name = "dis")
+
+def add_synthetical_discharge(*args):
+    """Add a guassian shaped discharge (based on peak and tstart/tstop) to selected point """
+    index = app.gui.getvar("sfincs_hmt", "active_discharge_point")
+    value = app.gui.getvar("sfincs_hmt", "bc_dis_value")
+
+    # get the model
+    model = app.model["sfincs_hmt"].domain
+    # convert start and stop time to seconds
+    tstart = model.config["tstart"]
+    tstop = model.config["tstop"]
+
+    # make timeseries with gaussian peak
+    peak = value
+    duration = (tstop - tstart).total_seconds()
+    time_shift = 0.5 * duration # shift the peak to the middle of the duration
+    # TODO replace with: time_vec = pd.date_range(tstart, periods=duration / 600 + 1, freq="600S")
+    tt = np.arange(0, duration + 1, 600)        
+    ts = peak * np.exp(-(((tt - time_shift) / (0.25 * duration)) ** 2))
+
+    # get forcing locations in the model
+    gdf_locs = model.forcing["dis"].vector.to_gdf()
+    model_index = gdf_locs.index[index]
+
+    # convert to pandas dataframe
+    df_ts = pd.DataFrame({model_index: ts}, index=tt)
+
+    # replace the boundary condition of the selected point
+    model.set_forcing_1d(df_ts = df_ts, name = "dis")
+
+def copy_to_all(*args):
+    """Copy the discharges of the selected station and copy to all boundary points."""
+    index = app.gui.getvar("sfincs_hmt", "active_discharge_point")
+
+    # get the model
+    model = app.model["sfincs_hmt"].domain
 
-    # switch to observation stations toolbox
-    app.active_toolbox = app.toolbox[toolbox_name]
-    app.active_toolbox.select()
+    # get the boundary conditions of this point
+    dis = model.forcing["dis"].isel(index=index)
 
-    # TODO back to observations model-tab
-    # app.active_toolbox.select_tab("observations")
+    # copy the boundary conditions to all other points
+    model.forcing["dis"][:] =  dis