Add ID search functionality in data manager

icat/data.py

@@ -82,12 +82,14 @@ def __init__(
 
         self.search_box = v.TextField(
             v_model="",
-            dense=True,
-            append_icon="mdi-magnify",
-            label="Search (use 'id:X' to search index)",
-            clearable=True,
-            clear_icon="mdi-close",
-            style_="padding-top: 7px",
+            # dense=True,
+            color="success",
+            # class_="success--text",
+            # append_icon="mdi-magnify",
+            label="Search (use 'ID:X' to search index)",
+            # clearable=True,
+            # clear_icon="mdi-close",
+            # style_="padding-top: 7px",
         )
         self.search_box.on_event("keyup", self._handle_ipv_search_changed)
         self.search_box.on_event("click:clear", self._handle_ipv_search_cleared)
@@ -113,6 +115,7 @@ def __init__(
 
         self.search_add_new_tooltip = v.Tooltip(
             top=True,
+            open_delay=500,
             v_slots=[
                 {
                     "name": "activator",
@@ -124,6 +127,7 @@ def __init__(
         )
         self.search_add_sel_tooltip = v.Tooltip(
             top=True,
+            open_delay=500,
             v_slots=[
                 {
                     "name": "activator",
@@ -423,7 +427,7 @@ def _apply_filters(self):
         df = self._current_tab_filter(
             df, self.current_data_tab, self.sample_indices, self.selected_indices
         )
-        df = DataManager._search_box_filter(df, self.search_value, self.text_col)
+        df = self._search_box_filter(df, self.search_value, self.text_col)
         df = self._prediction_range_filter(df)
         self.filtered_df = df
 
@@ -518,20 +522,37 @@ def _set_page_contents(self, options):
             )
         self.table.items = rows
 
-    @staticmethod
     def _search_box_filter(
+        self,
         df: pd.DataFrame,
         pattern: str,
         column: str,
     ) -> pd.DataFrame:
         """This function searches for a given string in code:`pattern` and applies it to the code:`column` within the
         code:`df`.
 
-        if the search is "id:" or "ID:", we directly search the index column instead
+        If the search is "ID:", we directly search the index column instead.
         """
-        # TODO: possibly move to a utils.py
         if not pattern:
             return df
+
+        # check for an index search
+        if pattern.startswith("ID:"):
+            requested_index = str(pattern[3:])
+            if requested_index.isnumeric():
+                self.search_box.label = "Search (index search mode)"
+                if int(requested_index) in df.index:
+                    self.search_box.success = True
+                    self.search_box.error = False
+                    return df.iloc[[int(requested_index)]]
+                else:
+                    self.search_box.success = False
+                    self.search_box.error = True
+                    return pd.DataFrame()
+
+        self.search_box.label = "Search (use 'ID:X' to search index)"
+        self.search_box.success = False
+        self.search_box.error = False
         return df[df[column].str.contains(pattern, case=False)]
 
     # TODO: either make this static and add prediction col,

icat/table.py

@@ -143,7 +143,7 @@ def _template(self):
                             <v-btn x-small class="purple darken-1" @click.stop="addToExampleAnchor(item.id)">
                                 example
                             </v-btn>
-                            <v-tooltip bottom>
+                            <v-tooltip bottom open-delay=500>
                                 <template v-slot:activator="{ on, attrs }">
                                     <v-btn x-small v-if="!item.in_sample" @click.stop="addToSample(item.id)" v-bind="attrs" v-on="on">
                                         sample

notebooks/archive/Example3-Model.ipynb

@@ -84,6 +84,32 @@
     "model.view"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aee0b807-acd3-4771-b8bd-1d7e00613ba2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import ipyvuetify as v\n",
+    "\n",
+    "pn.Row(v.TextField(label=\"hiello\"))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f0d0a404-aced-4f12-8650-0099a9d0e629",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "v.TextField(label=\"hiello\")"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,

tests/test_datamanager.py

@@ -203,3 +203,12 @@ def catch_change(sample_indices):
     dummy_data_manager.set_random_sample()
     assert len(returns) == 1
     assert returns[0] == [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
+
+
+def test_id_search_shows_only_id_row(dummy_data_manager):
+    """Using a search string like ID:5 should only return a row with that index."""
+    dummy_data_manager.search_value = "ID:5"
+    assert len(dummy_data_manager.filtered_df) == 1
+    assert (
+        dummy_data_manager.filtered_df.iloc[0].text == "Hey kid, you can't skate here!"
+    )