fix: 优化裤装上身图裤长与景别

core/backend/apps/ai/services.py

@@ -1039,6 +1039,7 @@ def _build_model_tryon_prompt_v2(
     from apps.ai.tryon_prompt import (
         ClassificationResult,
         ProductContext,
+        TrouserFacts,
         build_tryon_prompt_plan,
         classify_product_details,
         default_ratio_for_kind,
@@ -1059,6 +1060,7 @@ def _build_model_tryon_prompt_v2(
     classification = ClassificationResult.from_payload(payload.get("tryon_classification"))
     if classification is None:
         classification = classify_product_details(context, str(payload.get("prompt") or ""))
+    trouser_facts = TrouserFacts.from_payload(payload.get("tryon_trouser_facts"))
 
     requested_ratio = str(payload.get("ratio") or "").strip()
     resolved_ratio = requested_ratio or default_ratio_for_kind(classification.kind)
@@ -1071,10 +1073,11 @@ def _build_model_tryon_prompt_v2(
         has_model_portrait=has_model,
         has_model_triview=False,
         classification=classification,
+        trouser_facts=trouser_facts,
     )
     prompt = plan.prompts[index]
     trace = {
-        "version": "v2.5",
+        "version": "v2.6",
         "applied": True,
         "rollout_source": rollout_source,
         "effective_prompt": prompt,
@@ -1088,6 +1091,7 @@ def _build_model_tryon_prompt_v2(
             "model_portrait_number": plan.references.model_portrait_number,
             "model_triview_number": plan.references.model_triview_number,
         },
+        "trouser_facts": plan.trouser_facts.as_payload() if plan.trouser_facts is not None else None,
     }
     return prompt, trace, resolved_ratio
 
@@ -2796,8 +2800,15 @@ def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", c
     # Step 2.1:只为“模特上身图 + 商品”记录一次确定性分类快照。这里不读取图片、不调用模型；
     # Step 3 的 Worker 根据 MODEL_TRYON_PROMPT_V2_ENABLED 决定使用 V2 或旧提示词。
     tryon_classification: dict[str, str | None] | None = None
+    tryon_trouser_facts: dict[str, str | None] | None = None
     if mode == "model" and product_id:
-        from apps.ai.tryon_prompt import ClassificationResult, ProductContext, ProductKind, classify_product_details
+        from apps.ai.tryon_prompt import (
+            ClassificationResult,
+            ProductContext,
+            ProductKind,
+            classify_product_details,
+            extract_trouser_facts,
+        )
         from apps.products.models import Product
 
         product_for_classification = Product.objects.filter(id=product_id, team=team).only(
@@ -2811,14 +2822,26 @@ def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", c
                 "product_not_found",
             )
         else:
-            classification = classify_product_details(
-                ProductContext.create(
-                    title=product_for_classification.title,
-                    category=product_for_classification.category,
-                    description=product_for_classification.description,
+            classification_context = ProductContext.create(
+                title=product_for_classification.title,
+                category=product_for_classification.category,
+                description=product_for_classification.description,
+            )
+            product_context = ProductContext.create(
+                title=classification_context.title,
+                category=classification_context.category,
+                description=classification_context.description,
+                selling_points=tuple(
+                    product_for_classification.selling_points.values_list("title", flat=True)[:8]
                 ),
+            )
+            classification = classify_product_details(
+                classification_context,
                 prompt,
             )
+            trouser_facts = extract_trouser_facts(product_context, classification.kind, prompt)
+            if trouser_facts is not None:
+                tryon_trouser_facts = trouser_facts.as_payload()
         tryon_classification = classification.as_payload()
 
     tasks: list[AITask] = []
@@ -2827,6 +2850,8 @@ def enqueue_standalone_images(*, team, user, prompt: str, mode: str = "image", c
         request_payload = {"model": model_config.name, "endpoint": model_config.endpoint, "prompt": prompt, "mode": mode, "index": index, "product_id": str(product_id) if product_id else None, "reference_product": bool(reference_product), "model_id": str(model_id) if model_id else None, "model_entity_id": str(model_entity_id) if model_entity_id else None, "batch_id": batch_id, "ratio": str(ratio) if ratio else None, "reference_image_ids": ref_ids, "platform_id": platform_key or None, "platform_name": platform_name or None}
         if tryon_classification is not None:
             request_payload["tryon_classification"] = dict(tryon_classification)
+            if tryon_trouser_facts is not None:
+                request_payload["tryon_trouser_facts"] = dict(tryon_trouser_facts)
             request_payload["tryon_batch_count"] = count
             # 仅供内部 A/B 工具使用；GenerateImageView 不接收这两个参数，用户请求无法绕过全局开关。
             if tryon_prompt_v2_override:
@@ -2946,7 +2971,7 @@ def run_standalone_image_task(*, task_id: str) -> None:
                 )
             except Exception as exc:  # noqa: BLE001 — 规划器异常时安全回落旧提示词，不让已预扣任务悬空
                 tryon_prompt_trace = {
-                    "version": "v2.5",
+                    "version": "v2.6",
                     "applied": False,
                     "rollout_source": tryon_rollout_source,
                     "effective_prompt": legacy_prompt,
@@ -2985,7 +3010,7 @@ def run_standalone_image_task(*, task_id: str) -> None:
     elif mode == "model" and product_id and tryon_rollout_source is not None:
         # 没有真实商品参考图时维持原纯文生图行为，但明确留下未应用原因，不能伪装成 V2 已生效。
         tryon_prompt_trace = {
-            "version": "v2.5",
+            "version": "v2.6",
             "applied": False,
             "rollout_source": tryon_rollout_source,
             "effective_prompt": prompt,