初始化换发型项目：3个微服务代码 + 部署脚本

包含： - hair_service_sd: 换发型/换发色算法服务 (端口 8801) - photo_service: LoRA 训练调度服务 (端口 32678) - stable-diffusion-webui: SD WebUI 推理服务 (端口 57860) - kohya_ss_home: 训练环境代码 - meidaojia: 监控测试脚本 - setup.sh: 一键部署脚本 (conda环境恢复 + 配置生成 + 完整性检查) - start_all_services.sh: 启动3个服务 - configure.ini.template: 路径模板化 (BASE_DIR自动推导) - conda_envs/py310.yml: py310 环境定义大文件 (weights/, models/, data/, conda_envs/*.tar.gz 等) 通过 .gitignore 排除，由网盘单独上传。
2026-07-11 18:11:49 +08:00
commit 0eb61f3e60
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+import requests
+import random
+import time
+import concurrent.futures
+import base64
+from collections import defaultdict
+
+url = 'http://172.17.110.92/api/swapHair/v1'
+# url = 'https://699520645652485-http-8801.northwest1.gpugeek.com:8443/api/swapHair/v1'
+
+headers = {'Content-Type': 'application/json'}
+data = {
+    "hair_id": "1907651680352395265",
+    "task_id": "1907651680352395265",
+    "user_img_path": "https://cdn.meidaojia.com/ZoeFiles/user2_1_%E5%89%AF%E6%9C%AC.JPG",
+    "is_hr": "false",
+    "output_format": "base64"
+}
+
+def image_to_base64(file_path, mime_type=None):
+    """
+    将图片文件转换为带Base64前缀的Data URI字符串
+    
+    参数:
+        file_path (str): 图片文件路径
+        mime_type (str): 可选，指定MIME类型。如果为None，则根据文件扩展名自动判断
+    
+    返回:
+        str: 带Base64前缀的Data URI字符串
+    """
+    # 如果没有指定MIME类型，根据文件扩展名推断
+    if mime_type is None:
+        extension = file_path.split('.')[-1].lower()
+        mime_types = {
+            'jpg': 'image/jpeg',
+            'jpeg': 'image/jpeg',
+            'png': 'image/png',
+            'gif': 'image/gif',
+            'webp': 'image/webp',
+            'bmp': 'image/bmp'
+        }
+        mime_type = mime_types.get(extension, 'application/octet-stream')
+    
+    # 读取文件内容并编码为Base64
+    with open(file_path, 'rb') as image_file:
+        encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
+    
+    # 组合成Data URI格式
+    return f"data:{mime_type};base64,{encoded_string}"
+
+img64_str = image_to_base64("aaa.jpg")
+data['user_img_path'] = img64_str
+
+class RequestStats:
+    def __init__(self):
+        self.total_requests = 0
+        self.successful_requests = 0
+        self.failed_requests = 0
+        self.response_times = []
+        self.start_time = None
+        self.end_time = None
+        self.request_timestamps = defaultdict(int)
+    
+    def record_success(self, response_time):
+        self.successful_requests += 1
+        self.response_times.append(response_time)
+        self.request_timestamps[int(time.time())] += 1
+    
+    def record_failure(self):
+        self.failed_requests += 1
+    
+    def calculate_qps(self):
+        if not self.request_timestamps:
+            return 0
+        timestamps = sorted(self.request_timestamps.keys())
+        if len(timestamps) < 2:
+            return self.successful_requests
+        total_time = timestamps[-1] - timestamps[0] + 1
+        return self.successful_requests / total_time
+
+def send_request(stats):
+    try:
+        data['task_id'] = str(int(random.uniform(0, 10000000)))
+        start_time = time.time()
+        response = requests.post(url, headers=headers, json=data)
+        end_time = time.time()
+        response_time = end_time - start_time
+        
+        if response.status_code == 200:
+            stats.record_success(response_time)
+            print(f"请求完成，响应时间: {response_time:.3f} 秒")
+            return response_time
+        else:
+            print(f"请求失败，状态码: {response.status_code}")
+            stats.record_failure()
+            return None
+    except Exception as e:
+        print(f"请求发生错误: {e}")
+        stats.record_failure()
+        return None
+
+def main():
+    total_requests = 100  #请求总数
+    concurrency = 25  # 并发数
+    
+    stats = RequestStats()
+    stats.start_time = time.time()
+    stats.total_requests = total_requests
+    
+    print(f"开始测试，总请求数: {total_requests}，并发数: {concurrency}")
+    
+    with concurrent.futures.ThreadPoolExecutor(max_workers=concurrency) as executor:
+        futures = [executor.submit(send_request, stats) for _ in range(total_requests)]
+        concurrent.futures.wait(futures)
+    
+    stats.end_time = time.time()
+    
+    print("\n统计结果:")
+    print(f"总请求数: {stats.total_requests}")
+    print(f"成功请求数: {stats.successful_requests}")
+    print(f"失败请求数: {stats.failed_requests}")
+    
+    if stats.successful_requests > 0:
+        total_time = stats.end_time - stats.start_time
+        avg_response_time = sum(stats.response_times) / len(stats.response_times)
+        qps = stats.calculate_qps()
+        
+        print(f"测试总时间: {total_time:.3f} 秒")
+        print(f"平均响应时间: {avg_response_time:.3f} 秒")
+        print(f"最大响应时间: {max(stats.response_times):.3f} 秒")
+        print(f"最小响应时间: {min(stats.response_times):.3f} 秒")
+        print(f"QPS (每秒查询率): {qps:.2f}")
+    else:
+        print("所有请求都失败了，无法计算统计信息")
+
+if __name__ == "__main__":
+    main()