feat（新功能）: batch generate 增加接口说明，design batch队列修改

fix（修复bug）:
docs（文档变更）:
refactor（重构）:
test(增加测试):

app/api/api_design.py

@@ -433,7 +433,7 @@ def model_process(request_data: ModelProgressModel):
 
 
 @router.post("/design_batch_generate")
-async def design(file: UploadFile = File(...),
+async def design_batch(file: UploadFile = File(...),
                        tasks_id: str = Form(...),
                        user_id: str = Form(...),
                        file_name: str = Form(...),

app/api/api_generate_image.py

@@ -236,15 +236,71 @@ def generate_relight_image(tasks_id: str):
 
 
 @router.post("/batch_generate_product_image")
-async def design(request_batch_item: BatchGenerateProductImageModel):
+async def batch_generate_product(request_batch_item: BatchGenerateProductImageModel):
+    """
+        创建一个具有以下参数的请求体:
+        - **tasks_id**: 任务id 用于获取生成结果
+        - **prompt**: 想要生成图片的描述词
+        - **image_url**: 被生成图片的S3或minio url地址
+        - **image_strength**: 生成强度，越低越接近原图
+        - **product_type**: 输入single item 还是 overall item
+        - **batch_size**: 批生成数量
+
+
+        示例参数：
+        {
+          "tasks_id": "123-89",
+          "prompt": "the best quality, masterpiece. detailed, high-res, simple background, studio photography, extremely detailed, updo, detailed face, face, close-up, HDR, UHD, 8K realistic, Highly detailed, simple background, Studio lighting",
+          "image_url": "aida-results/result_00097282-ebb2-11ee-a822-b48351119060.png",
+          "image_strength": 0.8,
+          "product_type": "overall",
+          "batch_size": 1
+        }
+    """
     return await start_product_batch_generate(request_batch_item)
 
 
 @router.post("/batch_generate_relight_image")
-async def design(request_batch_item: BatchGenerateRelightImageModel):
+async def batch_generate_relight(request_batch_item: BatchGenerateRelightImageModel):
+    """
+        创建一个具有以下参数的请求体:
+        - **tasks_id**: 任务id 用于获取生成结果
+        - **prompt**: 想要生成图片的描述词
+        - **image_url**: 被生成图片的S3或minio url地址
+        - **direction**: 光源方向  Right Light      Left Light      Top Light     Bottom Light
+        - **product_type**: 输入single item 还是 overall item
+        - **batch_size**: 批生成数量
+
+
+        示例参数：
+        {
+          "tasks_id": "123-89",
+          "prompt": "beautiful woman, detailed face, sunshine, outdoor, warm atmosphere",
+          "image_url": "aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
+          "direction": "Right Light",
+          "product_type": "overall",
+          "batch_size": 1
+        }
+    """
     return await start_relight_batch_generate(request_batch_item)
 
 
 @router.post("/batch_generate_pose_transform_image")
-async def design(request_batch_item: BatchPoseTransformModel):
+async def batch_generate_pose_transform(request_batch_item: BatchPoseTransformModel):
+    """
+        创建一个具有以下参数的请求体:
+        - **tasks_id**: 任务id 用于取消生成任务和获取生成结果
+        - **image_url**: 被生成图片的S3或minio url地址
+        - **pose_id**: 1
+        - **batch_size**: 批生成数量
+
+
+        示例参数：
+        {
+          "tasks_id": "123-89",
+          "image_url": "aida-results/result_0000b606-1902-11ef-9424-0242ac180002.png",
+          "pose_id": "1",
+          "batch_size": 1
+        }
+    """
     return await start_pose_transform_batch_generate(request_batch_item)

app/core/config.py

@@ -162,6 +162,11 @@ SEGMENTATION = {
 }
 # ollama config
 OLLAMA_URL = "http://10.1.1.240:11434/api/embeddings"
+
+
+# design batch
+BATCH_DESIGN_RABBITMQ_QUEUES = os.getenv("BATCH_DESIGN_RABBITMQ_QUEUES", f"Design{RABBITMQ_ENV}")
+
 # DESIGN config
 DESIGN_MODEL_URL = '10.1.1.240:10000'
 AIDA_CLOTHING = "aida-clothing"

app/service/design_batch/utils/MQ.py

@@ -2,16 +2,16 @@ import json
 
 import pika
 
-from app.core.config import RABBITMQ_PARAMS
+from app.core.config import RABBITMQ_PARAMS, BATCH_DESIGN_RABBITMQ_QUEUES
 
 
 def publish_status(task_id, progress, result):
     connection = pika.BlockingConnection(pika.ConnectionParameters(**RABBITMQ_PARAMS))
     channel = connection.channel()
-    channel.queue_declare(queue='DesignBatch', durable=True)
+    channel.queue_declare(queue=BATCH_DESIGN_RABBITMQ_QUEUES, durable=True)
     message = {'task_id': task_id, 'progress': progress, "result": result}
     channel.basic_publish(exchange='',
-                          routing_key='DesignBatch',
+                          routing_key=BATCH_DESIGN_RABBITMQ_QUEUES,
                           body=json.dumps(message),
                           properties=pika.BasicProperties(
                               delivery_mode=2,