Merge branch 'adi-demo' into 'develop'

Adi demo

See merge request !4

src/adi_notebook/adi_proc.py

@@ -186,6 +186,8 @@ class AdiRunner:  # TODO: better name?
         self._end_date = end_date
         self._pcm_name = pcm_name
 
+    def __repr__(self) -> str:
+        return repr(self._adi_process)
 
     def process(self, cached: bool = False, verbose: bool = True) -> ProcessStatus:
         """Runs the process and creates retrieved, pre-transformed, post-transformed, and output datasets.
@@ -231,6 +233,9 @@ class AdiRunner:  # TODO: better name?
         data = self._adi_process._pickle_load_ds(filepath)
         return AdiDatasetList(data)
 
+    def set_transform_pair(self, input_datastream: str, coordinate: str):
+        self._adi_process.set_transform_pair(input_datastream, coordinate)
+
 
 class ADI_Process(Process):
     """-----------------------------------------------------------------------------------------------------------------
@@ -365,14 +370,14 @@ class ADI_Process(Process):
         EXAMPLE:
         get_valid_transform_mappings(display_like="str")
         >>        
-        ['ceil.b1+=>half_min_grid', 'ceil.b1+=>mapped',
-        'ceil.b1+=>half_min_grid', 'met.b1+=>half_min_grid',
-        'sirs.b1+=>mapped', '1twrmr.c1+=>mapped']
+        ['ceil.b1 +=> half_min_grid', 'ceil.b1+=>mapped',
+        'ceil.b1 +=> half_min_grid', 'met.b1+=>half_min_grid',
+        'sirs.b1 +=> mapped', '1twrmr.c1+=>mapped']
         """
         df = self.get_pcm_info_as_table()
         df_in_coord_pairs = df[["in_ds", "shape"]].explode("in_ds").drop_duplicates().reset_index(drop=True)
         if display_like_str:
-            return (df_in_coord_pairs["in_ds"] + "+=>" + df_in_coord_pairs["shape"]).values.tolist()
+            return (df_in_coord_pairs["in_ds"] + " +=> " + df_in_coord_pairs["shape"]).values.tolist()
         else:
             return df_in_coord_pairs.apply(lambda x: (x["in_ds"], x["shape"]), axis=1).values.tolist()
 
@@ -753,7 +758,7 @@ class ADI_Process(Process):
                 ds_copy = ds.copy()  # note: it is important to have a deep-copy of it
             else:
                 ds_copy = ds     
-            plan_name = pair[0] + "+=>" + pair[1]
+            plan_name = pair[0] + " +=> " + pair[1]
             ds_transforms_per_run[plan_name] = ds_copy
         self._ds_transforms.append(ds_transforms_per_run)