use resampled zarr

app.py

@@ -80,7 +80,7 @@ def fix_time(ds):
 
 @pn.cache(max_items=32,policy='LRU',per_session=True)
 def load_csv():
-    url="https://data-eurogoship.ifremer.fr/data/table.csv"
+    url="https://data-eurogoship.ifremer.fr/data/zarr_table.csv"
     fs = fsspec.filesystem("https")
     with fs.open(url) as f:
         df = pd.read_csv(f,index_col=None)
@@ -94,42 +94,10 @@ def load_bathymetry():
     return xr.open_dataset('/data/bathy6min.nc', decode_times=False, use_cftime=True)
 
 @pn.cache(max_items=16,policy='LRU',per_session=True)
-def load_netCDF(selected_file):
-    import os
-    data_dir = "https://data-eurogoship.ifremer.fr/copy_seadatanet/"
-    file_path = os.path.join(data_dir, selected_file)
-    fs = fsspec.filesystem("https")
-    ds = (
-                xr.open_dataset(
-                    fs.open(file_path), decode_cf=True, decode_times=False, engine="scipy"
-                )
-                .squeeze()
-                .set_coords(["LONGITUDE", "LATITUDE", "TIME", "PROFZ"])
-                .set_xindex("PROFZ")
-                .set_xindex("TIME")
-            )
-    ds = ds.where(
-            (ds.VCUR_SEADATANET_QC == 49)
-            & (ds.UCUR_SEADATANET_QC == 49)
-            #& (ds.WCUR_SEADATANET_QC == 49)
-            #& (ds.ECUR_SEADATANET_QC == 49)
-           # & (ds.PGOOD_SEADATANET_QC == 49)
-            #& (ds.ECI_SEADATANET_QC == 49)
-            #& (ds.BOTTOM_DEPTH_SEADATANET_QC == 49)
-           # & (ds.BATHY_SEADATANET_QC == 49)
-            & (ds.USHIP_SEADATANET_QC == 49)
-            & (ds.VSHIP_SEADATANET_QC == 49),
-            drop=False)
-    ds = ds[
-                [
-                    "TIME",
-                    "USHIP", "VSHIP", "BATHY", "BOTTOM_DEPTH",
-                    "UCUR", "VCUR",
-#                    "ROLL", "PITCH", "TR_TEMP", "HEADING", "U_BOTTOM", "V_BOTTOM",
-#                    "WCUR", "ECUR", "PGOOD", "ECI", "UTIDE", "VTIDE",
-                ]
-            ]
-    return fix_time(ds)
+def load_zarr(selected_file):
+    from datatree import open_datatree
+    tree= open_datatree('/data/1H_file.zarr', engine='zarr')
+    return tree[selected_file+"/"].ds
 
 def filter_df(sorted_df,selected_file):
     dataframe = sorted_df[sorted_df["file_name"] == selected_file].drop(
@@ -262,7 +230,7 @@ class SADCP_Viewer(param.Parameterized):
                 self.file_dropdown.value = selected_file
             self.data_table.value, self.metadata_table.value  = filter_df(sorted_df,selected_file)
 
-            self.ds=load_netCDF(selected_file)
+            self.ds=load_zarr(selected_file)
 
             lon_range = (
                 int(self.ds["LONGITUDE"].min().round() - 1),