AiDA_Python/app/api/api_generate_image.py

import json
import logging

import httpx
import requests
from fastapi import APIRouter, BackgroundTasks, HTTPException

from app.core.config import settings
from app.schemas.generate_image import GenerateImageModel, GenerateProductImageModel, GenerateSingleLogoImageModel, GenerateRelightImageModel, GenerateMultiViewModel, BatchGenerateProductImageModel, BatchGenerateRelightImageModel, AgentTollGenerateImageModel, Flux2ToProductImgModel, GenerateSloganImageModel, GenerateImageFlux2KleinModel
from app.schemas.pose_transform import BatchPoseTransformModel
from app.schemas.response_template import ResponseModel
from app.service.generate_batch_image.service import start_product_batch_generate, start_relight_batch_generate, start_pose_transform_batch_generate
from app.service.generate_image.service_agent_tool_generate_image import AgentToolGenerateImage
from app.service.generate_image.service_generate_image import GenerateImage, infer_cancel as generate_image_infer_cancel
from app.service.generate_image.service_generate_multi_view import GenerateMultiView, infer_cancel as generate_multi_view_cancel
from app.service.generate_image.service_generate_product_image import GenerateProductImage, infer_cancel as generate_product_image_cancel
from app.service.generate_image.service_generate_relight_image import GenerateRelightImage, infer_cancel as generate_relight_image_cancel
from app.service.generate_image.service_generate_single_logo import GenerateSingleLogoImage, infer_cancel as generate_single_logo_cancel

router = APIRouter()
logger = logging.getLogger()

'''generate image'''


# flux2 klein
@router.post("/generate_image_flux2_klein")
async def generate_image_flux2_klein(request_item: GenerateImageFlux2KleinModel):
    """
        创建一个具有以下参数的请求体:
        - **bucket_name**: OSS桶名 (必填)
        - **object_name**: OSS对象名（文件路径）(必填)

        - **width**: 图片宽度，默认1024像素 (非必填,1024)
        - **height**: 图片高度，默认1024像素 (非必填,默认1024)
        - **prompt**: 文本提示词，用于模型推理等场景 (非必填,默认"")
        - **steps**: 推理步数，控制模型生成过程的迭代次数 (非必填,默认4)
        - **guidance**: 引导系数，调节提示词对生成结果的影响程度 (非必填,默认 4.0 )

        ### 示例参数：
        ```
            {
                "bucket_name": "aida-users",
                "object_name": "89/moodboard/5fdc698c-cb9b-4b36-afa9ce4-1-89.png",
                "prompt": "a single item of sketch of dress, 4k, white background"
            }
        ```
        ### 输出示例:
        ```
            {
              "code": 200,
              "msg": "OK!",
              "data": {
                "output_path": [
                  "aida-users/89/moodboard/5fdc698c-cb9b-4b36-afa9ce4-1-89.png-0.png"
                ]
              }
            }
        ```
    """
    try:
        logger.info(f"generate_image_flux2_gen_img request: {json.dumps(request_item.model_dump(), indent=4)}")
        async with httpx.AsyncClient(timeout=120) as client:
            resp = await client.post(
                f"http://{settings.FLUX2_GEN_IMG_MODEL_URL}/predict",
                json=request_item.model_dump(),
            )
        if resp.status_code == 200:
            result = resp.json()
            logger.info(f"flux2_gen_img response: {json.dumps(result, indent=4)}")
            return ResponseModel(data=result)
        else:
            error = resp.json()
            logger.info(f"flux2_gen_img response: {json.dumps(error, indent=4)}")
            return ResponseModel(data=error, msg="ERROR!", code=500)

    except Exception as e:
        logger.warning(f"generate_image_flux2_gen_img Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))


# sdxl
@router.post("/generate_image")
def generate_image(request_item: GenerateImageModel, background_tasks: BackgroundTasks):
    """
        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
        - **prompt**: 想要生成图片的描述词
        - **image_url**: 图生图的输入，minio或S3 url 地址
        - **mode**: 生成模式，img2img或者txt2img
        - **category**: 生成图片的类别，sketch print 等等
        - **gender**: 生成sketch专用，服装类别
        - **version**: 使用模型版本 fast 或者 high

        示例参数：
        1. txt 2 img
        {
            "tasks_id": "bd2cf809-24bc-49a6-91c9-193c6272a52e-2-89",
            "prompt": "a single item of sketch of dress, 4k, white background",
            "image_url": "",
            "mode": "txt2img",
            "category": "sketch",
            "gender": "Female",
            "version": "fast"
        }
        2. img 2 img
        {
            "tasks_id": "b861d4fa-5ae3-4a30-9c7a-7ba6bb9aa37b-1-89",
            "prompt": "a single item of sketch of dress, 4k, white background",
            "image_url": "aida-collection-element/89/Sketchboard/548da3a2-834f-49a7-b52c-e729c5ab5062.png",
            "mode": "img2img",
            "category": "sketch",
            "gender": "Female",
            "version": "fast"
        }

    """
    try:
        logger.info(f"generate_image request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
        service = GenerateImage(request_item)
        background_tasks.add_task(service.get_result)
    except Exception as e:
        logger.warning(f"generate_image Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel()


@router.get("/generate_cancel/{tasks_id}")
def generate_image(tasks_id: str):
    try:
        logger.info(f"generate_cancel request item is : @@@@@@:{tasks_id}")
        data = generate_image_infer_cancel(tasks_id)
        logger.info(f"generate_cancel response @@@@@@:{data}")
    except Exception as e:
        logger.warning(f"generate_cancel Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel(data=data['data'])


'''multi view  停用'''

# @router.post("/generate_multi_view")
# def generate_multi_view(request_item: GenerateMultiViewModel, background_tasks: BackgroundTasks):
#     """
#         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**: 前视角图的输入，minio或S3 url 地址
#
#         示例参数：
#         {
#           "tasks_id": "123-89",
#           "image_url": "aida-collection-element/87/Printboard/842c09cf-7297-42d9-9e6e-9c17d4a13cb5.jpg"
#         }
#     """
#     try:
#         logger.info(f"generate_multi_view request item is : @@@@@@:{json.dumps(request_item.dict(),indent=4)}")
#         service = GenerateMultiView(request_item)
#         background_tasks.add_task(service.get_result)
#     except Exception as e:
#         logger.warning(f"generate_multi_view Run Exception @@@@@@:{e}")
#         raise HTTPException(status_code=404, detail=str(e))
#     return ResponseModel()


# @router.get("/generate_multi_view_cancel/{tasks_id}")
# def generate_multi_view(tasks_id: str):
#     try:
#         logger.info(f"generate_cancel request item is : @@@@@@:{tasks_id}")
#         data = generate_multi_view_cancel(tasks_id)
#         logger.info(f"generate_cancel response @@@@@@:{data}")
#     except Exception as e:
#         logger.warning(f"generate_cancel Run Exception @@@@@@:{e}")
#         raise HTTPException(status_code=404, detail=str(e))
#     return ResponseModel(data=data['data'])


'''single logo'''


@router.post("/generate_single_logo")
def generate_single_logo(request_item: GenerateSingleLogoImageModel, background_tasks: BackgroundTasks):
    """
        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
        - **prompt**: 想要生成图片的描述词
        - **seed**: 固定的prompt和固定的seed 每次的生成结果都是一样的

        示例参数：
        {
          "tasks_id": "123-89",
          "prompt": "an apple",
          "seed": "2"
        }
    """
    try:
        logger.info(f"generate_single_logo request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
        service = GenerateSingleLogoImage(request_item)
        background_tasks.add_task(service.get_result)
    except Exception as e:
        logger.warning(f"generate_single_logo Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel()


@router.get("/generate_single_logo_cancel/{tasks_id}")
def generate_single_logo_image(tasks_id: str):
    try:
        logger.info(f"generate_single_logo_cancel request item is : @@@@@@:{tasks_id}")
        data = generate_single_logo_cancel(tasks_id)
        logger.info(f"generate_single_logo_cancel response @@@@@@:{data}")
    except Exception as e:
        logger.warning(f"generate_single_logo_cancel Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel(data=data['data'])


"""slogan """


@router.post("/generate_slogan")
async def generate_slogan(request_data: GenerateSloganImageModel):
    """
        ### 请求体示例:
        ```json
        {
          "num_point": 16,
          "image_url": "aida-slogan/6886785f-0aac-4052-b6fd-7ae20a841d8d.png",
          "prompt": "123",
          "tasks_id": "string-89"
        }
        ```
    """
    try:
        logger.info(f"generate_slogan request item is : @@@@@@:{json.dumps(request_data.dict(), indent=4)}")
        data = requests.post(f"http://{settings.A6000_SERVICE_HOST}:10020/api/slogan", json=request_data.dict())
        logger.info(f"generate_slogan response @@@@@@:{json.dumps(json.loads(data.content), indent=4)}")
        return ResponseModel(data=json.loads(data.content))
    except Exception as e:
        logger.warning(f"generate_slogan Run Exception @@@@@@:{e}")


"""product image flux2.0"""

# @router.post("/img_to_product")
# async def img_to_product(request_data: Flux2ToProductImgModel):
#     """
#         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
#         - **prompt**: 想要生成图片的描述词
#         - **image_path**: 被生成图片的S3或minio url地址
#         - **infer_step**: 推理步数
#
#         ### 请求体示例:
#         ```json
#         point
#         {
#             "prompt": "Create realistic studio photo with real people model standing and wearing this garment, in white studio, Keep original model if present, or generate appropriate model, Standing pose, facing camera.",
#             "image_path":"aida-results/result_38151e0a-f83b-11f0-89f6-0242ac130002.png",
#             "infer_step":4,
#             "tasks_id":"123456-123"
#         }
#         ```
#     """
#     try:
#         logger.info(f"img_to_product request item is : @@@@@@:{json.dumps(request_data.dict(), indent=4)}")
#         data = requests.post(f"http://{settings.A6000_SERVICE_HOST}:10090/api/v1/to_product", json=request_data.dict())
#         logger.info(f"img_to_product response @@@@@@:{json.dumps(json.loads(data.content), indent=4)}")
#         return ResponseModel(data=json.loads(data.content))
#     except Exception as e:
#         logger.warning(f"img_to_product Run Exception @@@@@@:{e}")


'''product image'''


@router.post("/generate_product_image")
def generate_product_image(request_item: GenerateProductImageModel, background_tasks: BackgroundTasks):
    """
        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
        - **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


        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"
        }
    """
    try:
        logger.info(f"generate_product_image request item is : @@@@@@:{json.dumps(request_item.dict(), indent=4)}")
        service = GenerateProductImage(request_item)
        background_tasks.add_task(service.get_result)
    except Exception as e:
        logger.warning(f"generate_product_image Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel()


@router.get("/generate_product_image_cancel_cancel/{tasks_id}")
def generate_product_image(tasks_id: str):
    try:
        logger.info(f"generate_product_image_cancel_cancel request item is : @@@@@@:{tasks_id}")
        data = generate_product_image_cancel(tasks_id)
        logger.info(f"generate_product_image_cancel_cancel response @@@@@@:{data}")
    except Exception as e:
        logger.warning(f"generate_product_image_cancel_cancel Run Exception @@@@@@:{e}")
        raise HTTPException(status_code=404, detail=str(e))
    return ResponseModel(data=data['data'])


'''relight image 停用'''

# @router.post("/generate_relight_image")
# def generate_relight_image(request_item: GenerateRelightImageModel, background_tasks: BackgroundTasks):
#     """
#         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
#         - **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
#
#
#         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"
#         }
#     """
#     try:
#         logger.info(f"generate_relight_image request item is : @@@@@@:{json.dumps(request_item.dict(),indent=4)}")
#         service = GenerateRelightImage(request_item)
#         background_tasks.add_task(service.get_result)
#     except Exception as e:
#         logger.warning(f"generate_relight_image Run Exception @@@@@@:{e}")
#         raise HTTPException(status_code=404, detail=str(e))
#     return ResponseModel()
#
#
# @router.get("/generate_relight_image_cancel_cancel/{tasks_id}")
# def generate_relight_image(tasks_id: str):
#     try:
#         logger.info(f"generate_relight_image_cancel_cancel request item is : @@@@@@:{tasks_id}")
#         data = generate_relight_image_cancel(tasks_id)
#         logger.info(f"generate_relight_image_cancel_cancel response @@@@@@:{data}")
#     except Exception as e:
#         logger.warning(f"generate_relight_image_cancel_cancel Run Exception @@@@@@:{e}")
#         raise HTTPException(status_code=404, detail=str(e))
#     return ResponseModel(data=data['data'])


"""batch generate img 停用"""

# @router.post("/batch_generate_product_image")
# 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 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 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)
#
#
# """agent tool"""
#
#
# @router.post("/agent_tool_generate_image")
# def agent_tool_generate_image(request_item: AgentTollGenerateImageModel):
#     """
#         创建一个具有以下参数的请求体:
#         - **prompt**: 想要生成图片的描述词
#         - **category**: 生成图片的类别，sketch print 等等
#         - **gender**: 生成sketch专用，服装类别
#         - **version**: 使用模型版本 fast 或者 high
#         - **size**: 生成数量
#         - **version**: 使用模型版本 fast 或者 high
#
#
#         示例参数：
#         {
#           "prompt": "a single item of sketch of Wabi-sabi, skirt, tiered, 4k, white background",
#           "category": "sketch",
#           "gender": "male",
#           "size":2,
#           "version":"high"
#         }
#     """
#     try:
#         logger.info(f"agent_tool_generate_image request item is : @@@@@@:{request_item.dict()}")
#         request_data = request_item.dict()
#         service = AgentToolGenerateImage(request_data['version'])
#         image_url_list, clothing_category_list = service.get_result(
#             prompt=request_data['prompt'],
#             size=request_data['size'],
#             version=request_data['version'],
#             category=request_data['category'],
#             gender=request_data['gender']
#         )
#         data = {
#             "image_url_list": image_url_list,
#             "clothing_category_list": clothing_category_list
#         }
#         logger.info(f"agent_tool_generate_image response item is : @@@@@@:{data}")
#     except Exception as e:
#         logger.warning(f"agent_tool_generate_image Run Exception @@@@@@:{e}")
#         raise HTTPException(status_code=404, detail=str(e))
#     return ResponseModel(data=data)