CardScoreDataServer/Test/auto_img_insert.py

import os
import requests


def auto_import(data, target_url):
    # 2. 准备文件数据
    files = []
    opened_files = []  # 记录已打开的文件柄，便于最后关闭
    IMAGE_PATHS = data.get("local_paths")
    try:
        for field_name, path in IMAGE_PATHS.items():
            if path and os.path.exists(path):
                # 以二进制方式打开文件
                f = open(path, "rb")
                opened_files.append(f)

                # Request 的 files 格式: ("表单字段名", ("文件名", 文件对象, "MIME类型"))
                files.append((
                    field_name,
                    (os.path.basename(path), f, "image/jpeg")
                ))
            else:
                print(f"[Warning] 图片不存在或未配置跳过: {path}")

        if not files:
            print("没有找到任何可上传的图片文件，请检查 IMAGE_PATHS 路径。")
            return

        print(f"开始请求 API: {target_url} ...")

        # 3. 发起 multipart/form-data 请求
        response = requests.post(target_url, data=data, files=files)

        # 4. 打印结果
        print(f"Status Code: {response.status_code}")
        try:
            print("Response JSON:", response.json())
        except Exception:
            print("Response Text:", response.text)

    finally:
        # 确保所有文件句柄都被关闭
        for f in opened_files:
            f.close()


if __name__ == '__main__':
    target_url = f"http://192.168.77.249:7755/api/import/process_and_import"
    request_data = {
        "card_name": "测试2345",
        "cardNo": "fsg453",
        "card_type": "pokemon",
        "is_reflect_card": True,
        "strict_mode": False,  # 若为 True 则必须凑齐上面定义的4张主图
        "local_paths": {
            "front_ring": r"C:\Code\ML\Image\Card\testimg\1_front_ring_0_1.jpg",
            "front_coaxial": r"C:\Code\ML\Image\Card\testimg\1_front_coaxial_1_0.jpg",
            "back_ring": r"C:\Code\ML\Image\Card\testimg\1_back_ring_0_1.jpg",
            "back_coaxial": r"C:\Code\ML\Image\Card\testimg\1_back_coaxial_1_0.jpg",
            "front_gray": None,
            "back_gray": None
        }
    }

    auto_import(request_data, target_url)