Files
AiDA_Python/app/service/generate_batch_image/service.py
zchengrong 4e55275e6e feat(新功能): generate product relight pose_transform 开发,设置batch generate 的优先级为100 ,single generate 的优先级为1
fix(修复bug):
docs(文档变更):
refactor(重构):
test(增加测试):
2025-04-21 10:04:40 +08:00

25 lines
1.3 KiB
Python

from app.service.generate_batch_image.service_batch_generate_product_image import batch_generate_product, publish_status as product_publish_status
from app.service.generate_batch_image.service_batch_generate_relight_image import batch_generate_relight, publish_status as relight_publish_status
from app.service.generate_batch_image.service_batch_pose_transform import batch_generate_pose_transform, publish_status as pose_transform_publish_status
async def start_product_batch_generate(data):
generate_clothes_task = batch_generate_product.delay(data.dict())
print(generate_clothes_task)
product_publish_status(data.tasks_id, f"0/{data.batch_size}", "")
return {"task_id": data.tasks_id, "state": generate_clothes_task.state}
async def start_relight_batch_generate(data):
generate_clothes_task = batch_generate_relight.delay(data.dict())
print(generate_clothes_task)
relight_publish_status(data.tasks_id, f"0/{data.batch_size}", "")
return {"task_id": data.tasks_id, "state": generate_clothes_task.state}
async def start_pose_transform_batch_generate(data):
generate_clothes_task = batch_generate_pose_transform.delay(data.dict())
print(generate_clothes_task)
pose_transform_publish_status(data.tasks_id, f"0/{data.batch_size}", "")
return {"task_id": data.tasks_id, "state": generate_clothes_task.state}