add test

backend/requirements.txt

@@ -10,4 +10,5 @@ ip-region>=1.0
 volcengine>=1.0.218
 Pillow>=10.0
 celery>=5.3,<6.0
+gevent>=24.2
 redis>=5.0,<6.0

backend/tests/mock_airdrama.py

@@ -0,0 +1,71 @@
+"""
+临时替换 airdrama_client，让 query_task 始终返回 running。
+worker 启动时会 import 这个 mock 版本。
+"""
+import os
+import time
+import redis
+
+# 用 Redis 做跨进程计数器
+_redis_url = os.environ.get('REDIS_URL', 'redis://localhost:6379/1')
+_r = redis.from_url(_redis_url)
+COUNTER_KEY = 'bench:poll_count'
+ACTIVE_KEY = 'bench:active'
+PEAK_KEY = 'bench:peak'
+TASKS_KEY = 'bench:tasks_seen'
+
+
+def query_task(task_id):
+    """始终返回 running，通过 Redis 统计并发"""
+    pipe = _r.pipeline()
+    pipe.incr(COUNTER_KEY)
+    pipe.incr(ACTIVE_KEY)
+    pipe.sadd(TASKS_KEY, task_id)
+    pipe.execute()
+
+    # 检查并更新峰值
+    active = int(_r.get(ACTIVE_KEY) or 0)
+    peak = int(_r.get(PEAK_KEY) or 0)
+    if active > peak:
+        _r.set(PEAK_KEY, active)
+
+    time.sleep(0.2)  # 模拟 200ms 网络延迟
+
+    _r.decr(ACTIVE_KEY)
+
+    return {'status': 'running'}
+
+
+def map_status(ark_status):
+    mapping = {
+        'running': 'processing',
+        'submitted': 'queued',
+        'queued': 'queued',
+        'succeeded': 'completed',
+        'failed': 'failed',
+    }
+    return mapping.get(ark_status, 'processing')
+
+
+def extract_video_url(resp):
+    return None
+
+
+class AirDramaAPIError(Exception):
+    def __init__(self, code, message, status_code=400):
+        self.code = code
+        self.api_message = message
+        self.user_message = message
+        super().__init__(f'{code}: {message}')
+
+
+ERROR_MESSAGES = {}
+
+
+def create_task(**kwargs):
+    """mock create_task"""
+    return {'id': 'mock-task-id'}
+
+
+def download_video(url):
+    return b''

backend/tests/test_poll_concurrency.py

@@ -0,0 +1,183 @@
+"""
+Celery poll_video_task 并发压测（两步执行）
+
+步骤 1：启动 worker（mock 火山 API）
+步骤 2：派发任务 + 监控
+
+用法：
+    cd backend && source venv/bin/activate
+
+    # 终端 1：启动 mock worker
+    python tests/test_poll_concurrency.py worker
+
+    # 终端 2：派发 + 监控
+    python tests/test_poll_concurrency.py bench --tasks 100 --duration 30
+"""
+import argparse
+import os
+import sys
+import time
+
+# 公共环境变量
+REDIS_URL = os.environ.get('REDIS_URL',
+    'redis://zyc:Zyc188208@redis-shzlsczo52dft8mia.redis.volces.com:6379/1')
+os.environ['REDIS_URL'] = REDIS_URL
+os.environ['USE_MYSQL'] = 'true'
+os.environ.setdefault('DB_HOST', 'mysql-8351f937d637-public.rds.volces.com')
+os.environ.setdefault('DB_NAME', 'video_auto')
+os.environ.setdefault('DB_USER', 'zyc')
+os.environ.setdefault('DB_PASSWORD', 'Zyc188208')
+os.environ.setdefault('DB_PORT', '3306')
+
+sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
+
+
+def cmd_worker(args):
+    """启动 worker，用 mock 替换真实 airdrama_client"""
+    # gevent monkey-patch 必须在所有 import 之前
+    from gevent import monkey
+    monkey.patch_all()
+
+    # 用 mock 模块替换真实 airdrama_client
+    sys.path.insert(0, os.path.join(os.path.dirname(__file__)))
+    import mock_airdrama
+    sys.modules['utils.airdrama_client'] = mock_airdrama
+
+    import django
+    django.setup()
+
+    print(f'[worker] 启动中... (mock 火山 API, concurrency={args.concurrency})')
+    print(f'[worker] Redis: {REDIS_URL}')
+
+    from config.celery import app
+    app.Worker(
+        pool='gevent',
+        concurrency=args.concurrency,
+        loglevel='INFO',
+        without_heartbeat=True,
+        without_mingle=True,
+        without_gossip=True,
+    ).start()
+
+
+def cmd_bench(args):
+    """派发任务 + 监控"""
+    import django
+    django.setup()
+
+    import redis as redis_lib
+    r = redis_lib.from_url(REDIS_URL)
+
+    from apps.accounts.models import User, Team
+    from apps.generation.models import GenerationRecord
+    from apps.generation.tasks import poll_video_task
+
+    num_tasks = args.tasks
+    duration = args.duration
+
+    print(f'\n{"="*60}')
+    print(f'  Celery gevent 轮询并发压测')
+    print(f'  任务数: {num_tasks}')
+    print(f'  观察时长: {duration} 秒')
+    print(f'  Redis: {REDIS_URL}')
+    print(f'{"="*60}\n')
+
+    # 清空计数器
+    for key in ['bench:poll_count', 'bench:active', 'bench:peak', 'bench:tasks_seen']:
+        r.delete(key)
+
+    # 准备测试数据
+    team, _ = Team.objects.get_or_create(name='压测团队', defaults={'total_seconds_pool': 999999})
+    user, _ = User.objects.get_or_create(username='bench_user', defaults={
+        'email': 'bench@test.com', 'team': team,
+    })
+    GenerationRecord.objects.filter(prompt__startswith='压测任务').delete()
+
+    records = []
+    for i in range(num_tasks):
+        record = GenerationRecord.objects.create(
+            user=user,
+            prompt=f'压测任务 {i}',
+            mode='universal',
+            model='seedance_2.0',
+            aspect_ratio='16:9',
+            duration=5,
+            status='processing',
+            ark_task_id=f'bench-{i:04d}',
+        )
+        records.append(record)
+    print(f'[准备] 已创建 {num_tasks} 个测试记录')
+
+    # 清空队列
+    r.delete('celery')
+    print(f'[准备] 已清空 Redis 队列\n')
+
+    # 派发
+    print(f'[派发] 正在派发 {num_tasks} 个轮询任务...')
+    t0 = time.time()
+    for record in records:
+        poll_video_task.delay(record.id)
+    print(f'[派发] 完成，耗时 {time.time()-t0:.1f} 秒\n')
+
+    # 监控
+    print(f'[监控] 开始观察 {duration} 秒...\n')
+    print(f'  {"时间":>6s}  {"总查询":>8s}  {"当前并发":>8s}  {"峰值并发":>8s}  {"QPS":>8s}  {"任务覆盖":>10s}')
+    print(f'  {"-"*6}  {"-"*8}  {"-"*8}  {"-"*8}  {"-"*8}  {"-"*10}')
+
+    last_count = 0
+    for sec in range(1, duration + 1):
+        time.sleep(1)
+        ct = int(r.get('bench:poll_count') or 0)
+        ca = int(r.get('bench:active') or 0)
+        cp = int(r.get('bench:peak') or 0)
+        tp = r.scard('bench:tasks_seen')
+        qps = ct - last_count
+        last_count = ct
+        print(f'  {sec:>5d}s  {ct:>8d}  {ca:>8d}  {cp:>8d}  {qps:>8d}  {tp:>9d}/{num_tasks}')
+
+    # 结果
+    ft = int(r.get('bench:poll_count') or 0)
+    fp = int(r.get('bench:peak') or 0)
+    tp = r.scard('bench:tasks_seen')
+
+    print(f'\n{"="*60}')
+    print(f'  测试结果')
+    print(f'{"="*60}')
+    print(f'  总查询次数:         {ft}')
+    print(f'  平均 QPS:           {ft / duration:.1f}')
+    print(f'  峰值并发查询:       {fp}')
+    print(f'  任务覆盖率:         {tp}/{num_tasks} ({tp*100//num_tasks}%)')
+    print(f'{"="*60}\n')
+
+    if tp == num_tasks:
+        print(f'  PASS: 所有 {num_tasks} 个任务都被成功轮询')
+    else:
+        print(f'  WARNING: 只有 {tp}/{num_tasks} 个任务被轮询到')
+
+    # 清理（只清 Redis 计数器，DB 记录保留给 worker 查询）
+    # 测试结束后手动清理：
+    # python -c "import os,django;os.environ['DJANGO_SETTINGS_MODULE']='config.settings';os.environ['USE_MYSQL']='true';os.environ['DB_HOST']='mysql-8351f937d637-public.rds.volces.com';os.environ['DB_NAME']='video_auto';os.environ['DB_USER']='zyc';os.environ['DB_PASSWORD']='Zyc188208';django.setup();from apps.generation.models import GenerationRecord;print(GenerationRecord.objects.filter(prompt__startswith='压测任务').delete())"
+    for key in ['bench:poll_count', 'bench:active', 'bench:peak', 'bench:tasks_seen']:
+        r.delete(key)
+    print(f'  已清理 Redis 计数器（DB 记录保留给 worker）')
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(description='Celery 轮询并发压测')
+    sub = parser.add_subparsers(dest='cmd')
+
+    p_worker = sub.add_parser('worker', help='启动 mock worker')
+    p_worker.add_argument('--concurrency', type=int, default=200)
+
+    p_bench = sub.add_parser('bench', help='派发任务 + 监控')
+    p_bench.add_argument('--tasks', type=int, default=100)
+    p_bench.add_argument('--duration', type=int, default=30)
+
+    args = parser.parse_args()
+    if args.cmd == 'worker':
+        cmd_worker(args)
+    elif args.cmd == 'bench':
+        cmd_bench(args)
+    else:
+        parser.print_help()

k8s/celery-deployment.yaml

@@ -14,12 +14,14 @@ spec:
       labels:
         app: celery-worker
     spec:
+      imagePullSecrets:
+      - name: swr-secret
       containers:
       - name: celery-worker
         image: ${CI_REGISTRY_IMAGE}/video-backend:latest
         imagePullPolicy: Always
-        command: ["celery", "-A", "config", "worker", "--loglevel=info", "--concurrency=4", "-B"]
-        env:
+        command: ["celery", "-A", "config", "worker", "--loglevel=info", "--pool=gevent", "--concurrency=200"]
+        env: &shared-env
         - name: USE_MYSQL
           value: "true"
         - name: DJANGO_DEBUG
@@ -34,7 +36,7 @@ spec:
         # Redis
         - name: REDIS_URL
           value: "redis://zyc:Zyc188208@redis-shzlsczo52dft8mia.redis.ivolces.com:6379/0"
-        # Database (Volcano Engine RDS - 默认测试环境，生产环境通过 CI 替换)
+        # Database (Volcano Engine RDS)
         - name: DB_HOST
           value: "mysql8351f937d637.rds.ivolces.com"
         - name: DB_NAME
@@ -78,8 +80,20 @@ spec:
           value: "true"
         resources:
           requests:
+            memory: "256Mi"
+            cpu: "200m"
+          limits:
+            memory: "1Gi"
+            cpu: "1000m"
+      - name: celery-beat
+        image: ${CI_REGISTRY_IMAGE}/video-backend:latest
+        imagePullPolicy: Always
+        command: ["celery", "-A", "config", "beat", "--loglevel=info"]
+        env: *shared-env
+        resources:
+          requests:
+            memory: "64Mi"
+            cpu: "50m"
+          limits:
             memory: "128Mi"
             cpu: "100m"
-          limits:
-            memory: "512Mi"
-            cpu: "500m"