feat（新功能）:

fix（修复bug）:  修复配饰位置异常
docs（文档变更）:
refactor（重构）:
test(增加测试):

app/core/config.py

@@ -37,7 +37,7 @@ else:
     CHROMADB_PATH = "/chromadb/"
 
 # RABBITMQ_ENV = ""  # 生产环境
-RABBITMQ_ENV = os.getenv("RABBITMQ_ENV", "-prod")
+RABBITMQ_ENV = os.getenv("RABBITMQ_ENV", "-dev")
 # RABBITMQ_ENV = "-local"  # 本地测试环境
 
 if RABBITMQ_ENV == "-dev":

app/service/design_fast/design_generate.py

@@ -201,10 +201,10 @@ def design_generate_v2(request_data):
         #  发送结果给java端
         url = JAVA_STREAM_API_URL
         # xu_pei_test_url = "https://cd21b9110505.ngrok-free.app/api/third/party/receiveDesignResults"
-        # tianxaing_test_url = "https://c2ae520723c9.ngrok-free.app/api/third/party/receiveDesignResults"
+        tianxaing_test_url = "https://c2ae520723c9.ngrok-free.app/api/third/party/receiveDesignResults"
         logger.info(f"java 回调 ->  {url}")
         # logger.info(f"xupei java 回调 ->  {xu_pei_test_url}")
-        # logger.info(f"tianxiang java 回调 ->  {tianxaing_test_url}")
+        logger.info(f"tianxiang java 回调 ->  {tianxaing_test_url}")
 
         headers = {
             'Accept': "*/*",
@@ -220,12 +220,12 @@ def design_generate_v2(request_data):
             logger.info(response.text)
 
         # test_response = post_request(xu_pei_test_url, json_data=items_response, headers=headers)
-        # test_response = post_request(tianxaing_test_url, json_data=items_response, headers=headers)
+        test_response = post_request(tianxaing_test_url, json_data=items_response, headers=headers)
 
-        # if test_response:
+        if test_response:
             # 打印结果
             # logger.info(f"xupei test response : {test_response.text}")
-            # logger.info(f"tianxiang test response : {test_response.text}")
+            logger.info(f"tianxiang test response : {test_response.text}")
 
     for step, object in enumerate(objects_data):
         t = threading.Thread(target=process_object, args=(step, object))

app/service/design_fast/pipeline/color.py

@@ -22,7 +22,7 @@ class Color:
             resize_pattern = cv2.resize(pattern, (dim_image_w, dim_image_h), interpolation=cv2.INTER_AREA)
         # 无色
         elif "color" not in result.keys() or result['color'] == "":
-            result['no_seg_sketch'] = result['final_image'] = result['pattern_image'] = result['single_image'] = result['image']
+            result['final_image'] = result['pattern_image'] = result['single_image'] = result['image']
             result['alpha'] = 100 / 255.0
             return result
         # 正常颜色
@@ -59,8 +59,6 @@ class Color:
         tmp2 = (result['final_image'] * (temp_fg / 255)).astype(np.uint8)
         result['single_image'] = cv2.add(tmp1, tmp2)
         result['alpha'] = 100 / 255.0
-
-        result['no_seg_sketch'] = result['final_image'].copy()
         return result
 
     def get_gradient(self, bucket_name, object_name):

app/service/design_fast/pipeline/print_painting.py

@@ -24,7 +24,6 @@ class PrintPainting:
         if result['resize_scale'][0] == 1.0 and result['resize_scale'][1] == 1.0:
             pass
         else:
-            # 2025-9-19 印花调整 印花坐标按照sketch的缩放比调整
             height, width = result['pattern_image'].shape[:2]
             new_width = int(width * result['resize_scale'][0])
             new_height = int(height * result['resize_scale'][1])
@@ -35,7 +34,6 @@ class PrintPainting:
             result['gray'] = cv2.resize(result['gray'], (new_width, new_height))
 
         if overall_print['print_path_list']:
-            overall_print['location'][0] = [x * y for x, y in zip(overall_print['location'][0], result['resize_scale'])]
             painting_dict = {'dim_image_h': result['pattern_image'].shape[0], 'dim_image_w': result['pattern_image'].shape[1]}
             result['print_image'] = result['pattern_image']
             if "print_angle_list" in overall_print.keys() and overall_print['print_angle_list'][0] != 0:
@@ -52,9 +50,6 @@ class PrintPainting:
             result['single_image'] = result['final_image'] = result['pattern_image'] = result['print_image']
 
         if single_print['print_path_list']:
-            # 2025-9-19 印花调整 印花坐标按照sketch的缩放比调整
-            sketch_resize_scale = result['resize_scale']
-
             print_background = np.zeros((result['pattern_image'].shape[0], result['pattern_image'].shape[1], 3), dtype=np.uint8)
             mask_background = np.zeros((result['pattern_image'].shape[0], result['pattern_image'].shape[1], 3), dtype=np.uint8)
             for i in range(len(single_print['print_path_list'])):
@@ -72,8 +67,8 @@ class PrintPainting:
                 rotated_resized_source_mask = resized_source_mask.rotate(-single_print['print_angle_list'][i])
                 source_image_pil = Image.fromarray(cv2.cvtColor(print_background, cv2.COLOR_BGR2RGB))
                 source_image_pil_mask = Image.fromarray(cv2.cvtColor(mask_background, cv2.COLOR_BGR2RGB))
-                source_image_pil.paste(rotated_resized_source, (int(single_print['location'][i][0] * sketch_resize_scale[0]), int(single_print['location'][i][1] * sketch_resize_scale[1])), rotated_resized_source)
-                source_image_pil_mask.paste(rotated_resized_source_mask, (int(single_print['location'][i][0] * sketch_resize_scale[0]), int(single_print['location'][i][1] * sketch_resize_scale[1])), rotated_resized_source_mask)
+                source_image_pil.paste(rotated_resized_source, (int(single_print['location'][i][0]), int(single_print['location'][i][1])), rotated_resized_source)
+                source_image_pil_mask.paste(rotated_resized_source_mask, (int(single_print['location'][i][0]), int(single_print['location'][i][1])), rotated_resized_source_mask)
                 print_background = cv2.cvtColor(np.array(source_image_pil), cv2.COLOR_RGBA2BGR)
                 mask_background = cv2.cvtColor(np.array(source_image_pil_mask), cv2.COLOR_RGBA2BGR)
                 ret, mask_background = cv2.threshold(mask_background, 124, 255, cv2.THRESH_BINARY)
@@ -151,9 +146,7 @@ class PrintPainting:
                 img_bg = cv2.bitwise_and(result['pattern_image'], result['pattern_image'], mask=cv2.bitwise_not(print_mask))
                 mask_mo = np.expand_dims(print_mask, axis=2).repeat(3, axis=2)
                 gray_mo = np.expand_dims(result['gray'], axis=2).repeat(3, axis=2)
-                img_fg = (img_fg * (mask_mo / 255) * (gray_mo / 255)).astype(np.uint8)  # 当sketch 图像为灰色时(非纯白) ， 印花*灰度图像会导致印花在sketch上颜色变暗
-                # img_fg = (img_fg * (mask_mo / 255) ).astype(np.uint8)  # 不过灰度图像
-
+                img_fg = (img_fg * (mask_mo / 255) * (gray_mo / 255)).astype(np.uint8)
                 result['final_image'] = cv2.add(img_bg, img_fg)
                 canvas = np.full_like(result['final_image'], 255)
                 temp_bg = np.expand_dims(cv2.bitwise_not(result['mask']), axis=2).repeat(3, axis=2)
@@ -163,9 +156,6 @@ class PrintPainting:
                 result['single_image'] = cv2.add(tmp1, tmp2)
 
         if element_print['element_path_list']:
-            # 2025-9-19 印花调整 印花坐标按照sketch的缩放比调整
-            sketch_resize_scale = result['resize_scale']
-
             print_background = np.zeros((result['final_image'].shape[0], result['final_image'].shape[1], 3), dtype=np.uint8)
             mask_background = np.zeros((result['final_image'].shape[0], result['final_image'].shape[1], 3), dtype=np.uint8)
             for i in range(len(element_print['element_path_list'])):
@@ -183,8 +173,8 @@ class PrintPainting:
                     source_image_pil = Image.fromarray(cv2.cvtColor(print_background, cv2.COLOR_BGR2RGB))
                     source_image_pil_mask = Image.fromarray(cv2.cvtColor(mask_background, cv2.COLOR_BGR2RGB))
 
-                    source_image_pil.paste(rotated_resized_source, (int(element_print['location'][i][0] * sketch_resize_scale[0]), int(element_print['location'][i][1] * sketch_resize_scale[1])), rotated_resized_source)
-                    source_image_pil_mask.paste(rotated_resized_source_mask, (int(element_print['location'][i][0] * sketch_resize_scale[1]), int(element_print['location'][i][1] * sketch_resize_scale[1])), rotated_resized_source_mask)
+                    source_image_pil.paste(rotated_resized_source, (int(element_print['location'][i][0]), int(element_print['location'][i][1])), rotated_resized_source)
+                    source_image_pil_mask.paste(rotated_resized_source_mask, (int(element_print['location'][i][0]), int(element_print['location'][i][1])), rotated_resized_source_mask)
 
                     print_background = cv2.cvtColor(np.array(source_image_pil), cv2.COLOR_RGBA2BGR)
                     mask_background = cv2.cvtColor(np.array(source_image_pil_mask), cv2.COLOR_RGBA2BGR)

app/service/design_fast/pipeline/split.py

@@ -67,6 +67,7 @@ class Split(object):
                 # mask_image = np.zeros((height, width, 3))
                 # mask_image[front_mask != 0] = [0, 0, 255]
 
+
                 # 切换为原始图片尺寸-------------------------------
                 height, width = ori_front_mask.shape
                 mask_image = np.zeros((height, width, 3))
@@ -112,6 +113,7 @@ class Split(object):
                 # mask_image[back_mask != 0] = [0, 255, 0]
                 mask_image[ori_back_mask != 0] = [0, 255, 0]
 
+
                 rbga_mask = rgb_to_rgba(mask_image, ori_front_mask + ori_back_mask)
                 mask_pil = Image.fromarray(cvtColor(rbga_mask.astype(np.uint8), COLOR_BGR2RGBA))
                 image_data = io.BytesIO()
@@ -122,7 +124,7 @@ class Split(object):
                 result['mask_url'] = req.bucket_name + "/" + req.object_name
 
             # 创建中间图层
-            result_pattern_image_rgba = rgb_to_rgba(result['no_seg_sketch'], ori_front_mask + ori_back_mask)
+            result_pattern_image_rgba = rgb_to_rgba(result['pattern_image'], result['mask'])
             result_pattern_image_pil = Image.fromarray(cvtColor(result_pattern_image_rgba, COLOR_BGR2RGBA))
             result['pattern_image'], result['pattern_image_url'], _ = upload_png_mask(self.minio_client, result_pattern_image_pil, f'{generate_uuid()}')
             return result

app/service/design_fast/utils/organize.py

@@ -57,15 +57,7 @@ def organize_clothing(layer):
 
 def organize_accessories(layer):
     # 起始坐标
-    start_point = (0, 0)
-    layer['clothes_keypoint'] = {
-        'accessories_left': [0, 0]
-    }
-    layer['body_point_test'] = {
-        'accessories_left': [0, 0]
-    }
-
-    start_point = calculate_start_point(layer['keypoint'], layer['scale'], layer['clothes_keypoint'], layer['body_point_test'], layer["offset"], layer["resize_scale"])
+    start_point = calculate_start_point(layer['keypoint'], layer['scale'], {'accessories_left': [0, 0]}, {'accessories_left': [0, 0]}, layer["offset"], layer["resize_scale"])
 
     # 前片数据
     front_layer = dict(priority=layer['priority'] if layer.get("layer_order", False) else PRIORITY_DICT.get(f'{layer["name"].lower()}_front', None),