o @Tj @sdZddlZddlmZmZmZmZmZmZddl m Z ddl m Z m Z ddlmZddlmZddlmZdd lmZed d gd Zejd ededededededee ee fdedBdedBdeejdejdBdedBde defddZdS)zEVTON (Virtual Try-On) router: composite garments onto a person image.N) APIRouterDependsFileForm HTTPException UploadFile) AsyncSession)get_dbget_vton_service) ImageModel)VtonGenerateResponse) VtonService)fetch_image_bytesz /api/v1/vtonvton)prefixtagsz /generate)response_model.image image_url garment_idsuser_id image_modeldbvton_svcc srt|duo|j}t|o|}||krtdddz|r'|IdH} n t|IdH} WntyE} ztdt| dd} ~ wwz||| |||rR|j ndIdH} WnNt ym} ztdt| dd} ~ wty} ztdt| dd} ~ wt y} ztdt| dd} ~ wt y} z tdd| dd} ~ wwt d | j| j| j| j| jd S) uGenerate a virtual try-on image. Composites the selected garments (from the wardrobe) onto the person in the uploaded image. Requires a detectable face. Each selected garment must already have a ghost-mannequin image generated. Accepts the person image via either ``image`` (multipart file upload) or ``image_url`` (HTTP/HTTPS URL — downloaded server-side to avoid browser CORS restrictions). Exactly one of the two must be provided. ``image_model`` selects the OpenAI image-generation model (``gpt-image-2`` / ``gpt-image-1.5``); when omitted the server default is used. Ignored by the Gemini provider. If the person photo is an upper-body crop, the LLM will silently skip bottom-category garments; the response reports skipped IDs separately. NiuMimage 파일 또는 image_url 중 정확히 하나를 제공해야 합니다.) status_codedetailiiiuVTON 생성 실패: z /storage/)result_image_urlresult_image_pathused_garment_idsskipped_garment_idsllm_note)boolfilenamestriprreadr ValueErrorstrgeneratevalue LookupError RuntimeError Exceptionr pathused_ids skipped_idsnote) rrrrrrrhas_filehas_url image_byteseresultr50/home/ubuntu/htdocs/ootd-api/app/routers/vton.py generate_vtonsZ  r7)__doc__uuidfastapirrrrrrsqlalchemy.ext.asynciorapp.dependenciesr r app.schemas.commonr app.schemas.vtonr app.services.vton_servicer app.utils.imagerrouterpostr&listUUIDr7r5r5r5r6sB