i18n

* fix(ml): pass model_root_dir to OcrOptions for RapidOCR compatibility

Fix a TypeError (Path(None)) when the OCR model is invoked, caused by an upstream change in RapidOCR v3.8.1 (RapidAI/RapidOCR@8ea9626).
RapidOCR now internally calls `Path(cfg.get("model_root_dir"))`. Since `model_root_dir` was missing from `OcrOptions`, it evaluated to `None` and triggered a `TypeError: argument should be a str or an os.PathLike`.
This fix adds the missing `model_root_dir` argument to prevent the error.
Ref: #28331

* fix(ml-test): update OCR tests for RapidOCR schema change

* chore(ml-test): remove unused `cache_dir` parameter from `TextRecognizer`

* Revert "chore(ml-test): remove unused `cache_dir` parameter from `TextRecognizer`"

This reverts commit 007ad7b3f2.

* fix(ml): use self.cache_dir for model_root_dir in OcrOptions

machine-learning/immich_ml/models/ocr/recognition.py

@@ -64,6 +64,7 @@ class TextRecognizer(InferenceModel):
                 rec_batch_num=max_batch_size if max_batch_size else 6,
                 rec_img_shape=(3, 48, 320),
                 lang_type=self.language,
+                model_root_dir=self.cache_dir,
             )
         )
         return session

machine-learning/test_main.py

@@ -1028,7 +1028,12 @@ class TestOcr:
         text_recognizer.load()
 
         rapid_recognizer.assert_called_once_with(
-            OcrOptions(session=ort_session.return_value, rec_batch_num=6, rec_img_shape=(3, 48, 320))
+            OcrOptions(
+              session=ort_session.return_value,
+              rec_batch_num=6,
+              rec_img_shape=(3, 48, 320),
+              model_root_dir=text_recognizer.cache_dir,
+            )
         )
 
     def test_set_custom_max_batch_size(self, ort_session: mock.Mock, path: mock.Mock, mocker: MockerFixture) -> None:
@@ -1041,7 +1046,12 @@ class TestOcr:
         text_recognizer.load()
 
         rapid_recognizer.assert_called_once_with(
-            OcrOptions(session=ort_session.return_value, rec_batch_num=4, rec_img_shape=(3, 48, 320))
+            OcrOptions(
+              session=ort_session.return_value,
+              rec_batch_num=4,
+              rec_img_shape=(3, 48, 320),
+              model_root_dir=text_recognizer.cache_dir,
+            )
         )
 
     def test_ignore_other_custom_max_batch_size(
@@ -1056,7 +1066,12 @@ class TestOcr:
         text_recognizer.load()
 
         rapid_recognizer.assert_called_once_with(
-            OcrOptions(session=ort_session.return_value, rec_batch_num=6, rec_img_shape=(3, 48, 320))
+            OcrOptions(
+              session=ort_session.return_value,
+              rec_batch_num=6,
+              rec_img_shape=(3, 48, 320),
+              model_root_dir=text_recognizer.cache_dir,
+            )
         )
 
 

web/src/routes/(user)/workflows/[workflowId]/WorkflowStepCard.svelte

@@ -1,5 +1,25 @@
+<script module lang="ts">
+  import { authManager } from '$lib/managers/auth-manager.svelte';
+  import { getAlbumInfo } from '@immich/sdk';
+
+  // eslint-disable-next-line svelte/prefer-svelte-reactivity
+  const albumNameCache = new Map<string, Promise<string>>();
+
+  const getAlbumName = (id: string): Promise<string> => {
+    let albumName = albumNameCache.get(id);
+    if (!albumName) {
+      albumName = getAlbumInfo({ ...authManager.params, id })
+        .then((album) => album.albumName)
+        .catch(() => id);
+      albumNameCache.set(id, albumName);
+    }
+    return albumName;
+  };
+</script>
+
 <script lang="ts">
   import { pluginManager } from '$lib/managers/plugin-manager.svelte';
+  import type { JSONSchemaProperty } from '$lib/types';
   import type { WorkflowStepDto } from '@immich/sdk';
   import { Badge, Card, CardBody, CardDescription, CardHeader, CardTitle, Icon, IconButton } from '@immich/ui';
   import {
@@ -27,9 +47,13 @@
 
   const method = $derived(pluginManager.getMethod(step.method));
   const isFilter = $derived(method?.uiHints?.includes('Filter') ?? false);
+  const schema = $derived(method?.schema as JSONSchemaProperty | undefined);
   const configEntries = $derived(
     Object.entries(step.config ?? {}).filter(([, value]) => value !== null && value !== undefined && value !== ''),
   );
+
+  const getUiHint = (key: string) => schema?.properties?.[key]?.uiHint;
+  const toIds = (value: unknown): string[] => (Array.isArray(value) ? value.map(String) : [String(value)]);
   let dragImage = $state<Element>();
   let isDropTarget = $state(false);
   let hoverDrag = $state(false);
@@ -204,15 +228,28 @@
       {#if configEntries.length > 0}
         <CardBody class="py-3">
           <div class="flex flex-wrap items-center gap-1.5">
-            {#each configEntries as [key, value] (key)}
+            {#snippet badge(key: string, content: string)}
               <Badge
                 color={isFilter ? 'info' : 'warning'}
                 shape="round"
                 size="small"
                 class="border font-mono {isFilter ? 'border-primary-200' : 'border-warning-200'}"
               >
-                <span class="opacity-60">{key}</span>{formatConfigValue(value)}
+                <span class="opacity-60">{key}</span>{content}
               </Badge>
+            {/snippet}
+            {#each configEntries as [key, value] (key)}
+              {#if getUiHint(key) === 'AlbumId'}
+                {#each toIds(value) as albumId (albumId)}
+                  {#await getAlbumName(albumId)}
+                    {@render badge($t('album'), '…')}
+                  {:then albumName}
+                    {@render badge($t('album'), `"${truncate(albumName)}"`)}
+                  {/await}
+                {/each}
+              {:else}
+                {@render badge(key, formatConfigValue(value))}
+              {/if}
             {/each}
           </div>
         </CardBody>