fix(ml): pass model_root_dir to OcrOptions for RapidOCR compatibility (#28610)

* 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,
+            )
         )