o @TjB$@sdZddlZddlZddlZddlmZddlmZddlm Z ddl m Z m Z ddl mZddlmZmZmZmZdd lmZdd lmZmZmZeeZGd d d ZdS) uGarment analysis pipeline: image save → LLM analysis → DB persist. Supports two modes via auto_save flag: - auto_save=True (default): analyze + save to DB in one step (analyze_and_save) - auto_save=False: analyze only (analyze_only), then client can selectively save (save_garments) Ghost mannequin generation is a separate step via generate_ghost() (requires DB record) or generate_ghost_preview() (stateless, before save). N)Path)select) AsyncSession)GLOBAL_USER_IDsettings)Garment)BaseLLMProviderGarmentAnalysis StyleAnalysisStyleAnalysisTemp)SegmentationService)resize_image_if_neededsave_ghost_mannequin_imagesave_original_imagec@s0eZdZdedefddZdedefddZd ed ej d Bde e e e ffd d Z d!dede e de d ej d Bde e d Bd Bde ef ddZded ed ej d Bde efddZ d!de de d ej d Bde d Bde f ddZ d!dedej de d BdefddZd edefddZd edefdd Zd S)"GarmentService llm_providersegmentation_servicecCs||_||_dSN)llm segmentation)selfrrrrrrgenerate_ghost_previews(   z%GarmentService.generate_ghost_preview garment_idc s>|tttj|kIdH}|}|dur!td|d|jdur(|Stt j |j }| srrrgenerate_ghostsD    zGarmentService.generate_ghostct|}|j|IdHS)zAnalyze overall outfit style from image. 1. Resize image for LLM input 2. Call LLM style analysis Returns StyleAnalysis with scores and comments. N)r r analyze_stylerr$r*rrrr\szGarmentService.analyze_stylecr[)zs