| 1 | import importlib.metadata |
| 2 | |
| 3 | from helpers.api import ApiHandler, Request, Response |
| 4 | from plugins._whisper_stt.helpers import migration, runtime |
| 5 | |
| 6 | |
| 7 | class Status(ApiHandler): |
| 8 | async def process(self, input: dict, request: Request) -> dict | Response: |
| 9 | migration.ensure_config_seeded() |
| 10 | |
| 11 | package_version = "" |
| 12 | package_error = "" |
| 13 | try: |
| 14 | package_version = importlib.metadata.version("openai-whisper") |
| 15 | except Exception as e: |
| 16 | package_error = str(e) |
| 17 | |
| 18 | return { |
| 19 | "plugin": "_whisper_stt", |
| 20 | "enabled": runtime.is_globally_enabled(), |
| 21 | "config": runtime.get_config(), |
| 22 | "model": { |
| 23 | "ready": await runtime.is_downloaded(), |
| 24 | "loading": await runtime.is_downloading(), |
| 25 | "loaded_model": runtime.get_loaded_model_name(), |
| 26 | }, |
| 27 | "package": { |
| 28 | "version": package_version, |
| 29 | "error": package_error, |
| 30 | }, |
| 31 | } |