Miscellaneous fixes (0.17 beta) (#21431)

* Add shortSummary field to review summary to be used for notifications

* pull in current config version into default config

* fix crash when dynamically adding cameras

depending on where we are in the update loop, camera configs might not be updated yet and we are receiving detections already

* add no tracked objects and icon to explore summary view

* reset add camera wizard when closing and saving

* don't flash no exports icon while loading

* Improve handling of homekit config

* Increase prompt tokens reservation

* Adjust

* Catch event not found object detection

* Use thread lock for JinaV2 in onnxruntime

* remove incorrect embeddings process from memray docs

* only show transcribe button if audio event has video

* apply aspect ratio and margin constraints to path overlay in detail stream on mobile

improves a specific case where the overlay was not aligned with 4:3 cameras on mobile phones

* show metadata title as tooltip on icon hover in detail stream

---------

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

frigate/data_processing/post/object_descriptions.py

@@ -86,7 +86,11 @@ class ObjectDescriptionProcessor(PostProcessorApi):
                 and data["id"] not in self.early_request_sent
             ):
                 if data["has_clip"] and data["has_snapshot"]:
-                    event: Event = Event.get(Event.id == data["id"])
+                    try:
+                        event: Event = Event.get(Event.id == data["id"])
+                    except DoesNotExist:
+                        logger.error(f"Event {data['id']} not found")
+                        return
 
                     if (
                         not camera_config.objects.genai.objects

frigate/data_processing/post/review_descriptions.py

@@ -92,7 +92,7 @@ class ReviewDescriptionProcessor(PostProcessorApi):
 
         pixels_per_image = width * height
         tokens_per_image = pixels_per_image / 1250
-        prompt_tokens = 3500
+        prompt_tokens = 3800
         response_tokens = 300
         available_tokens = context_size - prompt_tokens - response_tokens
         max_frames = int(available_tokens / tokens_per_image)

frigate/data_processing/post/types.py

@@ -8,6 +8,9 @@ class ReviewMetadata(BaseModel):
     scene: str = Field(
         description="A comprehensive description of the setting and entities, including relevant context and plausible inferences if supported by visual evidence."
     )
+    shortSummary: str = Field(
+        description="A brief 2-sentence summary of the scene, suitable for notifications. Should capture the key activity and context without full detail."
+    )
     confidence: float = Field(
         description="A float between 0 and 1 representing your overall confidence in this analysis."
     )