AiDA_Python/app/service/design/service.py

import concurrent.futures

from app.core.config import PRIORITY_DICT
from app.service.design.core.layer import Layer
from app.service.design.items import build_item
from app.service.design.utils.redis_utils import Redis
from app.service.design.utils.synthesis_item import synthesis, synthesis_single
from app.service.utils.decorator import RunTime


def process_item(item, layers):
    # logging.info("process running.........")
    item.process()
    item.organize(layers)
    if item.result['name'] == "mannequin":
        return item.result['body_image'].size


def update_progress(process_id, total):
    r = Redis()
    progress = r.read(key=process_id)
    if progress and total != 1:
        if int(progress) <= 100:
            r.write(key=process_id, value=int(progress) + int(100 / total))
        else:
            r.write(key=process_id, value=100)
        return progress
    elif total == 1:
        r.write(key=process_id, value=100)
        return progress
    else:
        r.write(key=process_id, value=int(100 / total))
    return progress


def final_progress(process_id):
    r = Redis()
    progress = r.read(key=process_id)
    r.write(key=process_id, value=100)
    return progress


@RunTime
def generate(request_data):
    return_response = {}
    request_data = request_data.dict()
    assert "process_id" in request_data.keys(), "Need process_id parameters"

    objects = request_data['objects']
    # insert_keypoint_cache(objects)
    process_id = request_data['process_id']
    with concurrent.futures.ThreadPoolExecutor() as executor:
        # 提交每个对象的处理任务
        futures = {executor.submit(process_object, cfg, process_id, len(objects)): obj for obj, cfg in enumerate(objects)}
        # 获取处理结果
        for future in concurrent.futures.as_completed(futures):
            obj = futures[future]

            result = future.result()
            return_response[obj] = result
    final_progress(process_id)
    return return_response


def process_object(cfg, process_id, total):
    basic_info = cfg.get('basic')
    items_response = {
        'layers': []
    }
    if cfg.get('basic')['single_overall'] == 'overall':
        basic_info['debug'] = False
        items = [build_item(x, default_args=basic_info) for x in cfg.get('items')]
        layers = Layer()
        body_size = None
        futures = []
        for item in items:
            futures = [process_item(item, layers)]
        for future in futures:
            if future is not None:
                body_size = future
        # 是否自定义排序
        if basic_info.get('layer_order', False):
            layers = sorted(layers.layer, key=lambda s: s.get("priority", float('inf')))
        else:
            layers = sorted(layers.layer, key=lambda x: PRIORITY_DICT.get(x['name'], float('inf')))
        # 合成
        items_response['synthesis_url'] = synthesis(layers, body_size)

        for lay in layers:
            items_response['layers'].append({
                'image_category': lay['name'],
                'position': lay['position'],
                'priority': lay.get("priority", None),
                'resize_scale': lay['resize_scale'] if "resize_scale" in lay.keys() else None,
                'image_size': lay['image'] if lay['image'] is None else lay['image'].size,
                'gradient_string': lay['gradient_string'] if 'gradient_string' in lay.keys() else "",
                'mask_url': lay['mask_url'],
                'image_url': lay['image_url'] if 'image_url' in lay.keys() else None,
                'pattern_image_url': lay['pattern_image_url'] if 'pattern_image_url' in lay.keys() else None,

                # 'image': lay['image'],
                # 'mask_image': lay['mask_image'],
            })
    elif cfg.get('basic')['single_overall'] == 'single':
        assert cfg.get('basic')['switch_category'] in [x['type'] for x in cfg.get('items')], "Lack of switch_category parameters "
        basic_info['debug'] = False
        for item in cfg.get('items'):
            if item['type'] == cfg.get('basic')['switch_category']:
                item = build_item(item, default_args=cfg.get('basic'))
                item.process()
                items_response['layers'].append({
                    'image_category': f"{item.result['name']}_front",
                    'image_size': item.result['back_image'].size if item.result['back_image'] else None,
                    'position': None,
                    'priority': 0,
                    'image_url': item.result['front_image_url'],
                    'mask_url': item.result['front_mask_url'],
                    "gradient_string": item.result['gradient_string'] if 'gradient_string' in item.result.keys() else "",
                    'pattern_image_url': item.result['pattern_image_url'] if 'pattern_image_url' in item.result.keys() else None,
                })
                items_response['layers'].append({
                    'image_category': f"{item.result['name']}_back",
                    'image_size': item.result['front_image'].size if item.result['front_image'] else None,
                    'position': None,
                    'priority': 0,
                    'image_url': item.result['back_image_url'],
                    'mask_url': item.result['back_mask_url'],
                    "gradient_string": item.result['gradient_string'] if 'gradient_string' in item.result.keys() else "",
                    'pattern_image_url': item.result['pattern_image_url'] if 'pattern_image_url' in item.result.keys() else None,
                })
                items_response['synthesis_url'] = synthesis_single(item.result['front_image'], item.result['back_image'])
                break
    update_progress(process_id, total)
    return items_response