ansys / ansys/Visual-Interactive-Simulation-Object-Renderer
[Remote rendering 4.4] Live scene refresh upon server-originated operations in remote mode
- Langage dominant
- Python
- Étoiles
- 0
- Forks
- 0
- Merge moyen
- 1 j 10 h
- PR mergées (30 j)
- 37
Description
### 📝 Description of the feature
Fullstack user story. Keep the client view in step with server-side scene changes so adding or removing a dataset on a live remote session refreshes the view without a browser reload.
When a scene-mutating operation originates on the server (ie through an API, eg add_dataset, update_variables, load_state), the client has no way to know unless the server tells it. This user story propagates those changes: the server signals that the scene changed, and the frontend re-fetches scene details and rebuilds so the view reflects the new structure.
Two main surfaces update:
- The rendered frame (the server re-renders it and the stream carries it), and the UI computed from scene structure, tree view, legend/color panel, and widgets, which the frame alone doesn't touch.
- The surfaces differ by operation, most involve a tree rebuild, while update_variables changes variable metadata and so the legend rather than the tree.
Fullstack: the backend signal and frontend rebuild are individually untestable, so these are together in a single user story here.
### Acceptance Criteria
A Python API call that modifies the scene, e.g. add_dataset, refreshes without a browser reload, and the corresponding UI updates (e.g. tree rebuild) works in remote mode.
Tests pass
### 💵 Business Value
_No response_
### 🔗 Useful links and references
_No response_
Guide de contribution
Ouvrir le guide de contribution
Piste de recherche
Start with the server-side operations add_dataset, update_variables, and load_state, then trace the remote-mode client path for scene refreshes. Verify that a Python API scene change updates the rendered frame and the relevant tree, legend, color panel, or widget UI without a browser reload, and run the project tests.
Rédigé par le modèle d'indexation à partir du texte de l'issue.
Évaluation
- Stack technique
- python
- Domaine
- full-stack
- Type d'issue
- Fonctionnalité
- Difficulté
- 4/5
- Temps estimé
- 3-5 jours
- Activité
- Active
- Clarté
- Plutôt claire
- Accessibilité débutants
- 50/100