Miscellaneous fixes (0.17 beta) (#21350)

* Fix genai callbacks in MQTT

* Cleanup cursor pointer for classification cards

* Cleanup

* Handle unknown SOCs for RKNN converter by only using known SOCs

* don't allow "none" as a classification class name

* change internal port user to admin and default unspecified username to viewer

* keep 5000 as anonymous user

* suppress tensorflow logging during classification training

* Always apply base log level suppressions for noisy third-party libraries even if no specific logConfig is provided

* remove decorator and specifically suppress TFLite delegate creation messages

---------

Co-authored-by: Josh Hawkins <32435876+hawkeye217@users.noreply.github.com>

web/src/components/card/ClassificationCard.tsx

@@ -40,6 +40,7 @@ type ClassificationCardProps = {
   data: ClassificationItemData;
   threshold?: ClassificationThreshold;
   selected: boolean;
+  clickable: boolean;
   i18nLibrary: string;
   showArea?: boolean;
   count?: number;
@@ -56,6 +57,7 @@ export const ClassificationCard = forwardRef<
     data,
     threshold,
     selected,
+    clickable,
     i18nLibrary,
     showArea = true,
     count,
@@ -101,11 +103,12 @@ export const ClassificationCard = forwardRef<
     <div
       ref={ref}
       className={cn(
-        "relative flex size-full cursor-pointer flex-col overflow-hidden rounded-lg outline outline-[3px]",
+        "relative flex size-full flex-col overflow-hidden rounded-lg outline outline-[3px]",
         className,
         selected
           ? "shadow-selected outline-selected"
           : "outline-transparent duration-500",
+        clickable && "cursor-pointer",
       )}
       onClick={(e) => {
         const isMeta = e.metaKey || e.ctrlKey;
@@ -289,6 +292,7 @@ export function GroupedClassificationCard({
         data={bestItem}
         threshold={threshold}
         selected={selectedItems.includes(bestItem.filename)}
+        clickable={true}
         i18nLibrary={i18nLibrary}
         count={group.length}
         onClick={(_, meta) => {
@@ -413,6 +417,7 @@ export function GroupedClassificationCard({
                     data={data}
                     threshold={threshold}
                     selected={false}
+                    clickable={false}
                     i18nLibrary={i18nLibrary}
                     onClick={() => {}}
                   >

web/src/components/classification/wizard/Step1NameAndDefine.tsx

@@ -94,7 +94,14 @@ export default function Step1NameAndDefine({
       objectLabel: z.string().optional(),
       objectType: z.enum(["sub_label", "attribute"]).optional(),
       classes: z
-        .array(z.string())
+        .array(
+          z
+            .string()
+            .refine(
+              (val) => val.trim().toLowerCase() !== "none",
+              t("wizard.step1.errors.noneNotAllowed"),
+            ),
+        )
         .min(1, t("wizard.step1.errors.classRequired"))
         .refine(
           (classes) => {
@@ -467,6 +474,7 @@ export default function Step1NameAndDefine({
                           )}
                         </div>
                       </FormControl>
+                      <FormMessage />
                     </FormItem>
                   )}
                 />

web/src/pages/FaceLibrary.tsx

@@ -1026,6 +1026,7 @@ function FaceGrid({
               filepath: `clips/faces/${pageToggle}/${image}`,
             }}
             selected={selectedFaces.includes(image)}
+            clickable={selectedFaces.length > 0}
             i18nLibrary="views/faceLibrary"
             onClick={(data, meta) => onClickFaces([data.filename], meta)}
           >

web/src/views/classification/ModelTrainingView.tsx

@@ -804,6 +804,7 @@ function DatasetGrid({
               name: "",
             }}
             showArea={false}
+            clickable={selectedImages.length > 0}
             selected={selectedImages.includes(image)}
             i18nLibrary="views/classificationModel"
             onClick={(data, _) => onClickImages([data.filename], true)}
@@ -962,6 +963,7 @@ function StateTrainGrid({
             data={data}
             threshold={threshold}
             selected={selectedImages.includes(data.filename)}
+            clickable={selectedImages.length > 0}
             i18nLibrary="views/classificationModel"
             showArea={false}
             onClick={(data, meta) => onClickImages([data.filename], meta)}