final save code
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import requests
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import time
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import base64
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import random
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import string
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from concurrent.futures import ThreadPoolExecutor, as_completed
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import argparse
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from threading import Lock
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# 全局计数器
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class RequestCounter:
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def __init__(self):
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self.sent = 0
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self.in_progress = 0
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self.completed = 0
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self.success = 0
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self.failed = 0
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self.lock = Lock()
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def increment_sent(self):
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with self.lock:
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self.sent += 1
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def increment_in_progress(self):
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with self.lock:
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self.in_progress += 1
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def decrement_in_progress(self):
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with self.lock:
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self.in_progress -= 1
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def increment_completed(self):
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with self.lock:
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self.completed += 1
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def increment_success(self):
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with self.lock:
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self.success += 1
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def increment_failed(self):
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with self.lock:
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self.failed += 1
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def get_stats(self):
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with self.lock:
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return {
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'sent': self.sent,
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'in_progress': self.in_progress,
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'completed': self.completed,
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'success': self.success,
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'failed': self.failed
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}
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counter = RequestCounter()
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def generate_random_task_id(length=19):
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"""生成随机task_id"""
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digits = string.digits
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return ''.join(random.choice(digits) for _ in range(length))
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def send_request(url, headers, data):
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"""发送单个请求"""
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try:
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# 更新计数器
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counter.increment_sent()
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counter.increment_in_progress()
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# 每次请求生成新的随机task_id
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data["task_id"] = generate_random_task_id()
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response = requests.post(url, headers=headers, json=data)
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# 根据响应状态更新计数器
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if response.status_code == 200:
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counter.increment_success()
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else:
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counter.increment_failed()
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return response.status_code, response.text
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except Exception as e:
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counter.increment_failed()
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return None, str(e)
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finally:
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counter.decrement_in_progress()
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counter.increment_completed()
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def print_stats():
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"""打印实时统计信息"""
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while True:
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stats = counter.get_stats()
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print(f"\rStats - Sent: {stats['sent']}, In Progress: {stats['in_progress']}, "
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f"Completed: {stats['completed']} (Success: {stats['success']}, Failed: {stats['failed']})",
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end="", flush=True)
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time.sleep(10)
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def worker(url, headers, data, qps, duration):
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"""工作线程函数，控制QPS"""
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requests_count = 0
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start_time = time.time()
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end_time = start_time + duration
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while time.time() < end_time:
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request_start = time.time()
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status_code, response_text = send_request(url, headers, data)
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requests_count += 1
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# 控制QPS
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elapsed = time.time() - request_start
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sleep_time = max(0, (1.0 / qps) - elapsed)
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if sleep_time > 0:
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time.sleep(sleep_time)
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return requests_count
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def run_test(url, headers, data, qps, duration, concurrency):
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"""运行测试"""
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total_requests = 0
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start_time = time.time()
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# 启动统计信息打印线程
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import threading
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stats_thread = threading.Thread(target=print_stats, daemon=True)
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stats_thread.start()
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with ThreadPoolExecutor(max_workers=concurrency) as executor:
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futures = [executor.submit(worker, url, headers, data, qps, duration)
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for _ in range(concurrency)]
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for future in as_completed(futures):
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total_requests += future.result()
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end_time = time.time()
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actual_duration = end_time - start_time
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actual_qps = total_requests / actual_duration
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# 获取最终统计
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stats = counter.get_stats()
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print("\n\nTest Summary:")
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print(f"Total requests: {total_requests}")
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print(f" Success: {stats['success']}")
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print(f" Failed: {stats['failed']}")
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print(f"Success rate: {(stats['success']/total_requests)*100:.2f}%")
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print(f"Test duration: {actual_duration:.2f} seconds")
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print(f"Actual QPS: {actual_qps:.2f}")
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print(f"Target QPS: {qps}")
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print(f"Concurrency: {concurrency}")
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def image_to_base64(file_path, mime_type=None):
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"""
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将图片文件转换为带Base64前缀的Data URI字符串
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参数:
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file_path (str): 图片文件路径
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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
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返回:
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str: 带Base64前缀的Data URI字符串
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"""
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# 如果没有指定MIME类型，根据文件扩展名推断
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if mime_type is None:
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extension = file_path.split('.')[-1].lower()
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mime_types = {
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'jpg': 'image/jpeg',
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'jpeg': 'image/jpeg',
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'png': 'image/png',
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'gif': 'image/gif',
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'webp': 'image/webp',
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'bmp': 'image/bmp'
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}
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mime_type = mime_types.get(extension, 'application/octet-stream')
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# 读取文件内容并编码为Base64
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with open(file_path, 'rb') as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode('utf-8')
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# 组合成Data URI格式
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return f"data:{mime_type};base64,{encoded_string}"
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description='API Load Test Tool')
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parser.add_argument('--qps', type=float, default=1, help='Requests per second (per thread)')
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parser.add_argument('--duration', type=float, default=10, help='Test duration in seconds')
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parser.add_argument('--concurrency', type=int, default=2, help='Number of concurrent threads')
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args = parser.parse_args()
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# 配置请求参数
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url = 'http://mq.aidigifi.meidaojia.com/api/swapHair/v1'
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headers = {'Content-Type': 'application/json'}
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data = {
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"hair_id": "1907651680352395265",
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"task_id": "1907651680352395265", # 会被每次请求覆盖
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"user_img_path": "https://cdn.meidaojia.com/ZoeFiles/user2_1_%E5%89%AF%E6%9C%AC.JPG",
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"is_hr": "false",
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"output_format": "base64"
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}
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img64_str = image_to_base64("aaa.jpg")
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data['img'] = img64_str
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print(f"Starting test with QPS={args.qps}, duration={args.duration}s, concurrency={args.concurrency}")
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run_test(url, headers, data, args.qps, args.duration, args.concurrency)
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