From 662c655ad6fde2d2e5caaee42fccd0be5a0191a9 Mon Sep 17 00:00:00 2001
From: wanjia <wanjia@changhongit.com>
Date: Wed, 12 Mar 2025 15:24:31 +0800
Subject: [PATCH] =?UTF-8?q?=E6=AD=A3=E7=A1=AE=E6=8C=96=E6=8E=98TikTok?=
 =?UTF-8?q?=E7=BD=91=E7=BB=9C=E4=B8=AD=E7=9A=84=E7=9B=B8=E5=85=B3=E7=94=A8?=
 =?UTF-8?q?=E6=88=B7=E5=92=8C=E7=83=AD=E9=97=A8=E5=86=85=E5=AE=B9?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .idea/.name                                   |    1 +
 .idea/workspace.xml                           |   27 +-
 automated_task_monitor/__init__.py            |    6 +
 .../__pycache__/__init__.cpython-310.pyc      |  Bin 167 -> 317 bytes
 .../__pycache__/celery.cpython-310.pyc        |  Bin 0 -> 782 bytes
 .../__pycache__/settings.cpython-310.pyc      |  Bin 3134 -> 3481 bytes
 automated_task_monitor/celery.py              |   31 +
 automated_task_monitor/settings.py            |   23 +-
 db.sqlite3                                    |    0
 .../process_monitor/all/2136_20250225_all.log |   23 +
 .../all/22424_20250225_all.log                |  184 +++
 .../all/22740_20250225_all.log                |  184 +++
 .../all/27836_20250225_all.log                |   92 ++
 .../all/31964_20250225_all.log                |  483 ++++++
 .../all/35500_20250225_all.log                |   92 ++
 .../all/37712_20250225_all.log                |  460 ++++++
 .../process_monitor/all/7616_20250225_all.log |   23 +
 .../process_monitor/cpu/1132_20250225_cpu.log |   46 +
 .../process_monitor/cpu/6432_20250220_cpu.log |  138 ++
 .../process_monitor/cpu/6432_20250222_cpu.log |   23 +
 monitor/__pycache__/models.cpython-310.pyc    |  Bin 4691 -> 5488 bytes
 monitor/__pycache__/urls.cpython-310.pyc      |  Bin 1159 -> 1716 bytes
 monitor/__pycache__/views.cpython-310.pyc     |  Bin 36306 -> 54570 bytes
 ...ktokuservideos_following_count_and_more.py |   23 +
 ...ktokuservideos_private_account_and_more.py |   92 ++
 ...010_remove_tiktokuservideos_video_paths.py |   17 +
 ...s_following_count_and_more.cpython-310.pyc |  Bin 0 -> 704 bytes
 ...s_private_account_and_more.cpython-310.pyc |  Bin 0 -> 1903 bytes
 ...ktokuservideos_video_paths.cpython-310.pyc |  Bin 0 -> 589 bytes
 monitor/models.py                             |   47 +-
 monitor/urls.py                               |    9 +-
 monitor/views.py                              | 1464 +++++++++++++----
 requirements.txt                              |  Bin 332 -> 546 bytes
 urls.py                                       |    1 +
 34 files changed, 3143 insertions(+), 346 deletions(-)
 create mode 100644 .idea/.name
 create mode 100644 automated_task_monitor/__pycache__/celery.cpython-310.pyc
 create mode 100644 automated_task_monitor/celery.py
 create mode 100644 db.sqlite3
 create mode 100644 logs/process_monitor/all/2136_20250225_all.log
 create mode 100644 logs/process_monitor/all/22424_20250225_all.log
 create mode 100644 logs/process_monitor/all/22740_20250225_all.log
 create mode 100644 logs/process_monitor/all/27836_20250225_all.log
 create mode 100644 logs/process_monitor/all/31964_20250225_all.log
 create mode 100644 logs/process_monitor/all/35500_20250225_all.log
 create mode 100644 logs/process_monitor/all/37712_20250225_all.log
 create mode 100644 logs/process_monitor/all/7616_20250225_all.log
 create mode 100644 logs/process_monitor/cpu/1132_20250225_cpu.log
 create mode 100644 logs/process_monitor/cpu/6432_20250220_cpu.log
 create mode 100644 logs/process_monitor/cpu/6432_20250222_cpu.log
 create mode 100644 monitor/migrations/0008_tiktokuservideos_following_count_and_more.py
 create mode 100644 monitor/migrations/0009_tiktokuservideos_private_account_and_more.py
 create mode 100644 monitor/migrations/0010_remove_tiktokuservideos_video_paths.py
 create mode 100644 monitor/migrations/__pycache__/0008_tiktokuservideos_following_count_and_more.cpython-310.pyc
 create mode 100644 monitor/migrations/__pycache__/0009_tiktokuservideos_private_account_and_more.cpython-310.pyc
 create mode 100644 monitor/migrations/__pycache__/0010_remove_tiktokuservideos_video_paths.cpython-310.pyc
 create mode 100644 urls.py

diff --git a/.idea/.name b/.idea/.name
new file mode 100644
index 0000000..30f5e9f
--- /dev/null
+++ b/.idea/.name
@@ -0,0 +1 @@
+manage.py
\ No newline at end of file
diff --git a/.idea/workspace.xml b/.idea/workspace.xml
index e1c8734..f26f5de 100644
--- a/.idea/workspace.xml
+++ b/.idea/workspace.xml
@@ -31,20 +31,20 @@
     <option name="hideEmptyMiddlePackages" value="true" />
     <option name="showLibraryContents" value="true" />
   </component>
-  <component name="PropertiesComponent"><![CDATA[{
-  "keyToString": {
-    "RunOnceActivity.OpenDjangoStructureViewOnStart": "true",
-    "RunOnceActivity.OpenProjectViewOnStart": "true",
-    "RunOnceActivity.ShowReadmeOnStart": "true",
-    "last_opened_file_path": "D:/pythonProject/ecosscloud-cloud-services-frontend",
-    "node.js.detected.package.eslint": "true",
-    "node.js.detected.package.tslint": "true",
-    "node.js.selected.package.eslint": "(autodetect)",
-    "node.js.selected.package.tslint": "(autodetect)",
-    "nodejs_package_manager_path": "npm",
-    "vue.rearranger.settings.migration": "true"
+  <component name="PropertiesComponent">{
+  &quot;keyToString&quot;: {
+    &quot;RunOnceActivity.OpenDjangoStructureViewOnStart&quot;: &quot;true&quot;,
+    &quot;RunOnceActivity.OpenProjectViewOnStart&quot;: &quot;true&quot;,
+    &quot;RunOnceActivity.ShowReadmeOnStart&quot;: &quot;true&quot;,
+    &quot;last_opened_file_path&quot;: &quot;D:/pythonProject/ecosscloud-cloud-services-frontend&quot;,
+    &quot;node.js.detected.package.eslint&quot;: &quot;true&quot;,
+    &quot;node.js.detected.package.tslint&quot;: &quot;true&quot;,
+    &quot;node.js.selected.package.eslint&quot;: &quot;(autodetect)&quot;,
+    &quot;node.js.selected.package.tslint&quot;: &quot;(autodetect)&quot;,
+    &quot;nodejs_package_manager_path&quot;: &quot;npm&quot;,
+    &quot;vue.rearranger.settings.migration&quot;: &quot;true&quot;
   }
-}]]></component>
+}</component>
   <component name="RunManager">
     <configuration name="automated_task_monitor" type="Python.DjangoServer" factoryName="Django server">
       <module name="automated_task_monitor" />
@@ -93,6 +93,7 @@
       <workItem from="1739864902383" duration="147000" />
       <workItem from="1739869240489" duration="361000" />
       <workItem from="1739945870599" duration="439000" />
+      <workItem from="1741232022530" duration="8000" />
     </task>
     <servers />
   </component>
diff --git a/automated_task_monitor/__init__.py b/automated_task_monitor/__init__.py
index e69de29..047db9e 100644
--- a/automated_task_monitor/__init__.py
+++ b/automated_task_monitor/__init__.py
@@ -0,0 +1,6 @@
+from __future__ import absolute_import, unicode_literals
+
+# 导入celery app
+from .celery import app as celery_app
+
+__all__ = ('celery_app',)
\ No newline at end of file
diff --git a/automated_task_monitor/__pycache__/__init__.cpython-310.pyc b/automated_task_monitor/__pycache__/__init__.cpython-310.pyc
index d83c3a1e0789a0bb2e81fa2a97e25923eff60589..7050a851f0fe57ef8ef81c2e21d24c4e74ebe648 100644
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diff --git a/automated_task_monitor/__pycache__/settings.cpython-310.pyc b/automated_task_monitor/__pycache__/settings.cpython-310.pyc
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GIT binary patch
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diff --git a/automated_task_monitor/celery.py b/automated_task_monitor/celery.py
new file mode 100644
index 0000000..efcef48
--- /dev/null
+++ b/automated_task_monitor/celery.py
@@ -0,0 +1,31 @@
+from __future__ import absolute_import, unicode_literals
+import os
+import platform
+from celery import Celery
+
+# 将'your_project'替换为'automated_task_monitor'
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'automated_task_monitor.settings')
+
+# 同样这里改为正确的项目名
+app = Celery('automated_task_monitor')
+
+# 使用CELERY_前缀的设置
+app.config_from_object('django.conf:settings', namespace='CELERY')
+
+# 根据操作系统调整Celery配置
+if platform.system() == 'Windows':
+    # Windows 开发环境配置
+    app.conf.update(
+        worker_pool='eventlet',
+        worker_concurrency=50,
+    )
+else:
+    # Linux 生产环境配置
+    app.conf.update(
+        worker_concurrency=8,  # 设置为服务器CPU核心数
+        worker_max_tasks_per_child=1000,  # 处理1000个任务后重启worker（防止内存泄漏）
+        worker_prefetch_multiplier=4,  # 提前获取任务数量
+    )
+
+# 自动从所有注册的app中加载任务
+app.autodiscover_tasks() 
\ No newline at end of file
diff --git a/automated_task_monitor/settings.py b/automated_task_monitor/settings.py
index cb0bfd2..788aa94 100644
--- a/automated_task_monitor/settings.py
+++ b/automated_task_monitor/settings.py
@@ -27,11 +27,11 @@ SECRET_KEY = 'django-insecure-!1v8ca8ows01-*m5(&9)qgk5jc-my^q+4d+0)s_*^n&vne^&w9
 # SECURITY WARNING: don't run with debug turned on in production!
 DEBUG = True
 
-ALLOWED_HOSTS = [
-    '127.0.0.1',      # 本地开发
-    'localhost',      # 本地开发
-    '81.69.223.133',  # 你的服务器IP
-]
+ALLOWED_HOSTS = ['*']
+
+# 允许所有跨域请求
+CORS_ALLOW_ALL_ORIGINS = True
+
 
 # 监控配置
 MONITOR_INTERVAL = 5  # 缩短为5秒
@@ -49,9 +49,11 @@ INSTALLED_APPS = [
     'django.contrib.messages',
     'django.contrib.staticfiles',
     'monitor.apps.MonitorConfig',
+    'corsheaders',
 ]
 
 MIDDLEWARE = [
+    'corsheaders.middleware.CorsMiddleware',  # 必须放在第一位
     'django.middleware.security.SecurityMiddleware',
     'django.contrib.sessions.middleware.SessionMiddleware',
     'django.middleware.common.CommonMiddleware',
@@ -96,7 +98,10 @@ DATABASES = {
         'PORT': '3306',
         'OPTIONS': {
             'charset': 'utf8mb4',
+            'init_command': "SET sql_mode='STRICT_TRANS_TABLES'",
+            'connect_timeout': 60,  # 连接超时时间
         },
+        'CONN_MAX_AGE': 0,  # 强制Django在每次请求后关闭连接
     }
 }
 
@@ -180,3 +185,11 @@ os.makedirs('logs', exist_ok=True)
 # 添加版本号，防止缓存
 STATIC_VERSION = int(time.time())
 
+# Celery配置
+CELERY_BROKER_URL = 'redis://localhost:6379/0'
+CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
+CELERY_ACCEPT_CONTENT = ['json']
+CELERY_TASK_SERIALIZER = 'json'
+CELERY_RESULT_SERIALIZER = 'json'
+CELERY_TIMEZONE = 'Asia/Shanghai'
+
diff --git a/db.sqlite3 b/db.sqlite3
new file mode 100644
index 0000000..e69de29
diff --git a/logs/process_monitor/all/2136_20250225_all.log b/logs/process_monitor/all/2136_20250225_all.log
new file mode 100644
index 0000000..cb522fd
--- /dev/null
+++ b/logs/process_monitor/all/2136_20250225_all.log
@@ -0,0 +1,23 @@
+=== 2025-02-25 13:44:25 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 14/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.0%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/22424_20250225_all.log b/logs/process_monitor/all/22424_20250225_all.log
new file mode 100644
index 0000000..0eab47f
--- /dev/null
+++ b/logs/process_monitor/all/22424_20250225_all.log
@@ -0,0 +1,184 @@
+=== 2025-02-25 13:47:34 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 13/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.1%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:50:09 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 71.8%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:50:57 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:57:53 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 71.6%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:58:54 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:00:19 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 71.4%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:00:56 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.0%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:05:30 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 7/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 71.9%
+└─ 交换空间使用: 2.7%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/22740_20250225_all.log b/logs/process_monitor/all/22740_20250225_all.log
new file mode 100644
index 0000000..112a582
--- /dev/null
+++ b/logs/process_monitor/all/22740_20250225_all.log
@@ -0,0 +1,184 @@
+=== 2025-02-25 13:47:34 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 117/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.1%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 837次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:50:09 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 285/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 71.8%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 914次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:50:57 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 340/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 937次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:57:53 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 797/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 71.6%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1147次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 13:58:54 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 871/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1177次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:00:20 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 982/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 71.4%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1220次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:00:56 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1029/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1238次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:05:30 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1344/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 71.7%
+└─ 交换空间使用: 2.7%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1374次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/27836_20250225_all.log b/logs/process_monitor/all/27836_20250225_all.log
new file mode 100644
index 0000000..c218c57
--- /dev/null
+++ b/logs/process_monitor/all/27836_20250225_all.log
@@ -0,0 +1,92 @@
+=== 2025-02-25 14:11:01 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 98/0
+内存信息:
+├─ 物理内存: 9.4MB (0.1%)
+├─ 虚拟内存: 5.3MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.3%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 832次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:14:03 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 309/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.6%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 923次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:16:50 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 508/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.0%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1007次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:17:16 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 541/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.7%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1020次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/31964_20250225_all.log b/logs/process_monitor/all/31964_20250225_all.log
new file mode 100644
index 0000000..6fd6eb6
--- /dev/null
+++ b/logs/process_monitor/all/31964_20250225_all.log
@@ -0,0 +1,483 @@
+=== 2025-02-25 14:42:27 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 93/0
+内存信息:
+├─ 物理内存: 9.4MB (0.1%)
+├─ 虚拟内存: 5.3MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 75.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 831次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:43:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 152/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 75.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 862次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:44:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 227/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 75.4%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 892次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:48:04 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 476/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 75.4%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1000次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:48:52 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 540/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.2MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.7%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1024次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:49:56 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 623/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.4%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1056次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:50:42 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 683/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.7%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1079次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:56:17 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1068/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1247次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:57:22 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1147/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1279次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:59:48 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1317/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1351次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:00:49 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1393/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.5%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1382次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:03:18 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1571/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1456次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:04:20 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1650/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.8%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1487次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:05:22 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1722/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.1%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1518次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:05:24 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1724/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1519次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:06:04 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1781/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 74.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1539次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:06:52 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1847/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.4%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1562次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:07:09 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1870/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1571次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:07:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 1893/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.6%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1581次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:09:16 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 2030/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 1.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1634次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:10:17 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 2106/0
+内存信息:
+├─ 物理内存: 9.3MB (0.1%)
+├─ 虚拟内存: 5.1MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 73.5%
+└─ 交换空间使用: 1.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 1665次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/35500_20250225_all.log b/logs/process_monitor/all/35500_20250225_all.log
new file mode 100644
index 0000000..df39657
--- /dev/null
+++ b/logs/process_monitor/all/35500_20250225_all.log
@@ -0,0 +1,92 @@
+=== 2025-02-25 14:11:01 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 14/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.3%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:14:03 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 8/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.6%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:16:50 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 12/0
+内存信息:
+├─ 物理内存: 3.6MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.0%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:17:16 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 12/0
+内存信息:
+├─ 物理内存: 3.6MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.8%
+└─ 交换空间使用: 2.8%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/37712_20250225_all.log b/logs/process_monitor/all/37712_20250225_all.log
new file mode 100644
index 0000000..4ab9b8c
--- /dev/null
+++ b/logs/process_monitor/all/37712_20250225_all.log
@@ -0,0 +1,460 @@
+=== 2025-02-25 14:42:27 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 15/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 75.3%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:43:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 75.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:44:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 75.4%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 40次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:48:04 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 13/0
+内存信息:
+├─ 物理内存: 3.6MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 75.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:48:52 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 13/0
+内存信息:
+├─ 物理内存: 3.6MB (0.0%)
+├─ 虚拟内存: 0.8MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.7%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:49:56 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.5%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:50:42 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.7%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 42次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:56:17 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:57:22 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 14:59:48 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.5%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:00:49 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.5%
+└─ 交换空间使用: 2.0%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:03:18 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:04:20 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.8%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:05:23 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.2%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:05:25 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.3%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:06:04 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 74.3%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:06:53 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.4%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:07:29 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 72.7%
+└─ 交换空间使用: 2.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:09:16 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.1%
+└─ 交换空间使用: 1.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 15:10:17 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 9/0
+内存信息:
+├─ 物理内存: 3.5MB (0.0%)
+├─ 虚拟内存: 0.7MB
+├─ 内存映射: 11个
+├─ 系统内存使用: 73.5%
+└─ 交换空间使用: 1.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (2次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 43次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/all/7616_20250225_all.log b/logs/process_monitor/all/7616_20250225_all.log
new file mode 100644
index 0000000..d8e8873
--- /dev/null
+++ b/logs/process_monitor/all/7616_20250225_all.log
@@ -0,0 +1,23 @@
+=== 2025-02-25 13:44:25 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 93/0
+内存信息:
+├─ 物理内存: 9.4MB (0.1%)
+├─ 虚拟内存: 5.3MB
+├─ 内存映射: 25个
+├─ 系统内存使用: 72.0%
+└─ 交换空间使用: 2.9%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.3MB (69次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 832次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/cpu/1132_20250225_cpu.log b/logs/process_monitor/cpu/1132_20250225_cpu.log
new file mode 100644
index 0000000..e22dc78
--- /dev/null
+++ b/logs/process_monitor/cpu/1132_20250225_cpu.log
@@ -0,0 +1,46 @@
+=== 2025-02-25 10:12:46 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 4.7s
+├─ 内核态时间: 2.6s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 392063/0
+内存信息:
+├─ 物理内存: 296.9MB (1.9%)
+├─ 虚拟内存: 177.0MB
+├─ 内存映射: 325个
+├─ 系统内存使用: 78.2%
+└─ 交换空间使用: 0.7%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 3906.9MB (303763次)
+├─ 写入: 49.0MB (5023次)
+└─ 其他IO: 108714次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-25 10:13:46 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 4.7s
+├─ 内核态时间: 2.6s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 413451/0
+内存信息:
+├─ 物理内存: 234.0MB (1.5%)
+├─ 虚拟内存: 177.0MB
+├─ 内存映射: 327个
+├─ 系统内存使用: 73.3%
+└─ 交换空间使用: 0.7%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 3906.9MB (303770次)
+├─ 写入: 49.0MB (5032次)
+└─ 其他IO: 112589次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/cpu/6432_20250220_cpu.log b/logs/process_monitor/cpu/6432_20250220_cpu.log
new file mode 100644
index 0000000..f526469
--- /dev/null
+++ b/logs/process_monitor/cpu/6432_20250220_cpu.log
@@ -0,0 +1,138 @@
+=== 2025-02-20 12:25:46 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-20 12:25:46 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 72.2%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-20 12:27:32 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 72.3%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-20 12:27:32 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 72.3%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-20 20:30:34 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 73.3%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
+=== 2025-02-20 20:30:34 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 86/0
+内存信息:
+├─ 物理内存: 9.0MB (0.1%)
+├─ 虚拟内存: 1.8MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 73.2%
+└─ 交换空间使用: 5.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (0次)
+├─ 写入: 0.0MB (0次)
+└─ 其他IO: 74次
+进程状态: running
+--------------------------------------------------
diff --git a/logs/process_monitor/cpu/6432_20250222_cpu.log b/logs/process_monitor/cpu/6432_20250222_cpu.log
new file mode 100644
index 0000000..e4808ea
--- /dev/null
+++ b/logs/process_monitor/cpu/6432_20250222_cpu.log
@@ -0,0 +1,23 @@
+=== 2025-02-22 10:43:55 ===
+CPU信息:
+├─ 使用率: 0.0%
+├─ 用户态时间: 0.0s
+├─ 内核态时间: 0.0s
+├─ CPU核心数: 16
+├─ CPU频率: 4001.0MHz
+└─ 上下文切换: 717/0
+内存信息:
+├─ 物理内存: 13.3MB (0.1%)
+├─ 虚拟内存: 4.4MB
+├─ 内存映射: 0个
+├─ 系统内存使用: 72.5%
+└─ 交换空间使用: 0.1%
+GPU信息:
+├─ 使用率: 0.0%
+└─ 显存使用: 0.0MB
+IO信息:
+├─ 读取: 0.0MB (3次)
+├─ 写入: 0.0MB (1次)
+└─ 其他IO: 275次
+进程状态: running
+--------------------------------------------------
diff --git a/monitor/__pycache__/models.cpython-310.pyc b/monitor/__pycache__/models.cpython-310.pyc
index 393fa2d8114dc779d5a4525220951769d1c9dc10..7878e907178b04614be9215f881298d88c11098f 100644
GIT binary patch
delta 2398
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diff --git a/monitor/__pycache__/urls.cpython-310.pyc b/monitor/__pycache__/urls.cpython-310.pyc
index 80ff0aeadb77aa3762e202b53b37ac47b47ea35e..450a4d1c41fba38188b9fa1eac7859ef73906887 100644
GIT binary patch
delta 718
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diff --git a/monitor/__pycache__/views.cpython-310.pyc b/monitor/__pycache__/views.cpython-310.pyc
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diff --git a/monitor/migrations/0008_tiktokuservideos_following_count_and_more.py b/monitor/migrations/0008_tiktokuservideos_following_count_and_more.py
new file mode 100644
index 0000000..6288f66
--- /dev/null
+++ b/monitor/migrations/0008_tiktokuservideos_following_count_and_more.py
@@ -0,0 +1,23 @@
+# Generated by Django 5.1.6 on 2025-03-06 07:43
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('monitor', '0007_alter_tiktokuservideos_avatar_url'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='tiktokuservideos',
+            name='following_count',
+            field=models.IntegerField(default=0),
+        ),
+        migrations.AddField(
+            model_name='tiktokuservideos',
+            name='video_count',
+            field=models.IntegerField(default=0),
+        ),
+    ]
diff --git a/monitor/migrations/0009_tiktokuservideos_private_account_and_more.py b/monitor/migrations/0009_tiktokuservideos_private_account_and_more.py
new file mode 100644
index 0000000..ed51f5a
--- /dev/null
+++ b/monitor/migrations/0009_tiktokuservideos_private_account_and_more.py
@@ -0,0 +1,92 @@
+# Generated by Django 5.1.6 on 2025-03-11 05:39
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('monitor', '0008_tiktokuservideos_following_count_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='tiktokuservideos',
+            name='private_account',
+            field=models.BooleanField(default=False, verbose_name='是否私密账号'),
+        ),
+        migrations.AddField(
+            model_name='tiktokuservideos',
+            name='unique_id',
+            field=models.CharField(blank=True, max_length=255, null=True, verbose_name='唯一标识符'),
+        ),
+        migrations.AddField(
+            model_name='tiktokuservideos',
+            name='verified',
+            field=models.BooleanField(default=False, verbose_name='是否认证'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='avatar_url',
+            field=models.TextField(blank=True, null=True, verbose_name='头像URL'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='create_time',
+            field=models.DateTimeField(auto_now_add=True, verbose_name='创建时间'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='follower_count',
+            field=models.IntegerField(default=0, verbose_name='粉丝数'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='following_count',
+            field=models.IntegerField(default=0, verbose_name='关注数'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='nickname',
+            field=models.CharField(blank=True, max_length=255, null=True, verbose_name='昵称'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='sec_user_id',
+            field=models.CharField(max_length=255, unique=True, verbose_name='安全用户ID'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='signature',
+            field=models.TextField(blank=True, null=True, verbose_name='签名'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='total_favorited',
+            field=models.IntegerField(default=0, verbose_name='获赞总数'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='update_time',
+            field=models.DateTimeField(auto_now=True, verbose_name='更新时间'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='video_count',
+            field=models.IntegerField(default=0, verbose_name='视频数'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='video_paths',
+            field=models.TextField(blank=True, null=True, verbose_name='视频路径'),
+        ),
+        migrations.AlterField(
+            model_name='tiktokuservideos',
+            name='videos_folder',
+            field=models.CharField(max_length=255, verbose_name='视频文件夹'),
+        ),
+        migrations.AddIndex(
+            model_name='tiktokuservideos',
+            index=models.Index(fields=['unique_id'], name='monitor_tik_unique__dd6fa8_idx'),
+        ),
+    ]
diff --git a/monitor/migrations/0010_remove_tiktokuservideos_video_paths.py b/monitor/migrations/0010_remove_tiktokuservideos_video_paths.py
new file mode 100644
index 0000000..a52194d
--- /dev/null
+++ b/monitor/migrations/0010_remove_tiktokuservideos_video_paths.py
@@ -0,0 +1,17 @@
+# Generated by Django 5.1.6 on 2025-03-11 05:50
+
+from django.db import migrations
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('monitor', '0009_tiktokuservideos_private_account_and_more'),
+    ]
+
+    operations = [
+        migrations.RemoveField(
+            model_name='tiktokuservideos',
+            name='video_paths',
+        ),
+    ]
diff --git a/monitor/migrations/__pycache__/0008_tiktokuservideos_following_count_and_more.cpython-310.pyc b/monitor/migrations/__pycache__/0008_tiktokuservideos_following_count_and_more.cpython-310.pyc
new file mode 100644
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diff --git a/monitor/migrations/__pycache__/0010_remove_tiktokuservideos_video_paths.cpython-310.pyc b/monitor/migrations/__pycache__/0010_remove_tiktokuservideos_video_paths.cpython-310.pyc
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diff --git a/monitor/models.py b/monitor/models.py
index 510e25f..951453b 100644
--- a/monitor/models.py
+++ b/monitor/models.py
@@ -76,21 +76,46 @@ class AllResourceProcess(models.Model):
 
 class TiktokUserVideos(models.Model):
     """TikTok用户视频信息"""
-    sec_user_id = models.CharField(max_length=255, unique=True)
-    nickname = models.CharField(max_length=255)
-    signature = models.TextField(blank=True, null=True)
-    follower_count = models.IntegerField(default=0)
-    total_favorited = models.IntegerField(default=0)
-    avatar_url = models.TextField(blank=True, null=True)
-    videos_folder = models.CharField(max_length=255)
-    video_paths = models.TextField(blank=True, null=True)
-    create_time = models.DateTimeField(auto_now_add=True)
-    update_time = models.DateTimeField(auto_now=True)
+    sec_user_id = models.CharField(max_length=255, unique=True, verbose_name="安全用户ID")
+    unique_id = models.CharField(max_length=255, blank=True, null=True, verbose_name="唯一标识符")
+    nickname = models.CharField(max_length=255, blank=True, null=True, verbose_name="昵称")
+    signature = models.TextField(blank=True, null=True, verbose_name="签名")
+    
+    # 用户统计数据
+    follower_count = models.IntegerField(default=0, verbose_name="粉丝数")
+    following_count = models.IntegerField(default=0, verbose_name="关注数")
+    video_count = models.IntegerField(default=0, verbose_name="视频数")
+    total_favorited = models.IntegerField(default=0, verbose_name="获赞总数")
+    
+    # 用户资料信息
+    avatar_url = models.TextField(blank=True, null=True, verbose_name="头像URL")
+    verified = models.BooleanField(default=False, verbose_name="是否认证")
+    private_account = models.BooleanField(default=False, verbose_name="是否私密账号")
+    
+    # 视频存储相关
+    videos_folder = models.CharField(max_length=255, verbose_name="视频文件夹")
+      
+    # 时间记录
+    create_time = models.DateTimeField(auto_now_add=True, verbose_name="创建时间")
+    update_time = models.DateTimeField(auto_now=True, verbose_name="更新时间")
 
     class Meta:
         verbose_name = 'TikTok用户视频'
         verbose_name_plural = 'TikTok用户视频'
+        indexes = [
+            models.Index(fields=['unique_id']),
+        ]
 
     def __str__(self):
-        return f"{self.nickname} ({self.sec_user_id})"
+        display_name = self.nickname if self.nickname else self.unique_id if self.unique_id else self.sec_user_id
+        return f"{display_name} ({self.sec_user_id[:8]}...)"
+        
+    def get_stats_summary(self):
+        """获取用户统计数据摘要"""
+        return {
+            'followers': self.follower_count,
+            'following': self.following_count,
+            'videos': self.video_count,
+            'likes': self.total_favorited,
+        }
         
\ No newline at end of file
diff --git a/monitor/urls.py b/monitor/urls.py
index 3ffa78a..c098671 100644
--- a/monitor/urls.py
+++ b/monitor/urls.py
@@ -17,5 +17,12 @@ urlpatterns = [
     path('directory-status/', views.get_directory_status, name='directory_status'),
     path('tiktok/user-videos/', views.get_tiktok_user_videos, name='get-tiktok-user-videos'),
     path('api/tiktok/fetch_videos/', views.fetch_tiktok_videos, name='fetch_tiktok_videos'),
-    path('api/recursive_fetch_videos', views.recursive_fetch_videos, name='recursive_fetch_videos'),
+    path('api/fetch_videos_with_callback', views.fetch_videos_with_callback, name='fetch_videos_with_callback'),
+    path('api/start_recursive_fetch_videos', views.start_recursive_fetch_videos, name='start_recursive_fetch_videos'),
+    path('api/fetch_task_status/<str:task_id>', views.check_fetch_task_status, name='check_fetch_task_status'),
+    path('api/fetch_task_result/<str:task_id>', views.get_fetch_task_result, name='get_fetch_task_result'),
+    path('api/list_fetch_tasks', views.list_fetch_tasks, name='list_fetch_tasks'),
+    path('api/clean_completed_tasks', views.clean_completed_tasks, name='clean_completed_tasks'),
+    path('api/reset_task_status/<str:task_id>', views.reset_task_status, name='reset_task_status'),
+    path('api/check_task_status_detail/<str:task_id>', views.check_task_status_detail, name='check_task_status_detail'),
 ]
diff --git a/monitor/views.py b/monitor/views.py
index 8b65bb4..665dc14 100644
--- a/monitor/views.py
+++ b/monitor/views.py
@@ -18,6 +18,14 @@ import json
 from django.conf import settings
 import requests
 import threading
+from collections import deque
+from celery import shared_task
+import uuid
+from functools import wraps
+from datetime import timedelta
+import redis
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from yt_dlp import YoutubeDL
 
 directory_monitoring = {}
 
@@ -48,6 +56,30 @@ monitored_directories = set()
 # 在文件顶部添加 API 基础 URL
 API_BASE_URL = "http://81.69.223.133:45268"
 
+# 创建Redis连接
+redis_client = redis.Redis.from_url(settings.CELERY_BROKER_URL)
+
+# 替代原来的TASK_STATUS字典方法
+def set_task_status(task_id, status_data):
+    """在Redis中存储任务状态"""
+    redis_client.set(f"task_status:{task_id}", json.dumps(status_data))
+    
+def get_task_status(task_id):
+    """从Redis获取任务状态"""
+    data = redis_client.get(f"task_status:{task_id}")
+    if data:
+        return json.loads(data)
+    return None
+    
+def update_task_status(task_id, updates):
+    """更新任务状态的部分字段"""
+    status = get_task_status(task_id)
+    if status:
+        status.update(updates)
+        set_task_status(task_id, status)
+        return True
+    return False
+
 # 添加新的监控线程函数
 def monitor_directory(directory):
     """持续监控目录的后台任务"""
@@ -1024,8 +1056,15 @@ def get_open_files(proc):
 @csrf_exempt
 @require_http_methods(["POST"])
 def fetch_tiktok_videos(request):
-    """获取TikTok用户视频并下载播放量前十的视频"""
+    """获取TikTok用户播放量前10的视频"""
     try:
+        # 添加全局变量引用
+        global all_downloaded_videos
+        
+        # 如果变量未初始化，则初始化为空列表
+        if 'all_downloaded_videos' not in globals():
+            all_downloaded_videos = []
+            
         data = json.loads(request.body)
         unique_id = data.get('unique_id')
         
@@ -1054,11 +1093,12 @@ def fetch_tiktok_videos(request):
             nickname = user_info.get('nickname', f'用户_{unique_id}')
             signature = user_info.get('signature', '')
             avatar_url = user_info.get('avatarLarger', '')
-            user_stats = user_profile['data']['userInfo'].get('stats', {})
+            user_stats = user_profile['data']['userInfo']['stats']
             follower_count = user_stats.get('followerCount', 0)
             heart_count = user_stats.get('heartCount', 0)
+            video_count = user_stats.get('videoCount', 0)
             
-            logger.info(f"成功获取用户secUid: {sec_uid}")
+            logger.info(f"成功获取用户secUid: {sec_uid}, 该用户有 {video_count} 个视频")
         except (KeyError, TypeError) as e:
             logger.error(f"解析用户资料出错: {e}")
             return JsonResponse({
@@ -1070,66 +1110,38 @@ def fetch_tiktok_videos(request):
         user_dir = os.path.join(TIKTOK_VIDEOS_PATH, unique_id)
         os.makedirs(user_dir, exist_ok=True)
         
-        # 获取用户视频
-        videos_data = fetch_user_videos(sec_uid)
+        # 使用辅助函数获取播放量前10的视频
+        logger.info(f"开始获取用户 {nickname} 的全部视频并查找播放量前10...")
+        top_videos = get_top_n_videos_by_play_count(sec_uid, n=10)
         
-        # 提取视频信息并按播放量排序
-        all_videos = []
-        if videos_data and isinstance(videos_data, dict) and 'data' in videos_data and 'itemList' in videos_data['data']:
-            for video in videos_data['data']['itemList']:
-                try:
-                    # 确保提取正确的视频ID
-                    video_id = video.get('id', '')
-                    if not video_id or not str(video_id).isdigit():
-                        logger.warning(f"跳过无效的视频ID: {video_id}")
-                        continue
-                    
-                    # 安全地获取统计数据
-                    stats = video.get('stats', {})
-                    if not isinstance(stats, dict):
-                        stats = {}
-                    
-                    play_count = int(stats.get('playCount', 0))
-                    
-                    # 收集视频信息
-                    all_videos.append({
-                        'id': video_id,
-                        'desc': video.get('desc', ''),
-                        'create_time': video.get('createTime', 0),
-                        'cover': video.get('cover', ''),
-                        'play_count': play_count,
-                        'comment_count': int(stats.get('commentCount', 0)),
-                        'digg_count': int(stats.get('diggCount', 0)),
-                        'share_count': int(stats.get('shareCount', 0))
-                    })
-                except Exception as e:
-                    logger.error(f"处理视频数据出错: {str(e)}")
-                    continue
-        
-        # 按播放量排序并获取前10个
-        all_videos.sort(key=lambda x: x['play_count'], reverse=True)
-        top_videos = all_videos[:10]
-        
-        # 下载视频
+        # 下载这些视频
         downloaded_videos = []
-        for i, video in enumerate(top_videos):
-            # 获取视频ID
-            video_id = video['id']  # 这是数字ID
-            
-            # 构建保存路径
-            save_path = os.path.join(user_dir, f"{video_id}.mp4")
-            
-            logger.info(f"开始下载第 {i+1} 个热门视频(ID: {video_id}): {video['desc'][:20]}...")
-            # 使用正确的ID调用下载函数
-            if download_video(video_id, unique_id, save_path):
-                video['download_path'] = save_path
-                downloaded_videos.append(video)
-                logger.info(f"下载成功: {save_path}")
-            else:
-                logger.error(f"下载失败: {video_id}")
-            
-            # 避免频繁请求被限制
-            time.sleep(1)
+        for i, (play_count, video_id, desc) in enumerate(top_videos, 1):
+            try:
+                save_path = os.path.join(user_dir, f"{video_id}.mp4")
+                
+                logger.info(f"下载第 {i}/{len(top_videos)} 个视频 (ID: {video_id})，播放量: {play_count}")
+                
+                if download_video(video_id, unique_id, save_path):
+                    video_info = {
+                        'id': video_id,
+                        'desc': desc,
+                        'play_count': play_count,
+                        'user_unique_id': unique_id
+                    }
+                    downloaded_videos.append(video_info)
+                    logger.info(f"视频 {video_id} 下载成功")
+                else:
+                    logger.error(f"视频 {video_id} 下载失败")
+                    
+                # 避免过快请求
+                time.sleep(2)
+                
+            except Exception as e:
+                logger.error(f"下载视频时出错: {e}")
+                continue
+        
+        all_downloaded_videos.extend(downloaded_videos)
         
         # 保存用户信息和视频信息到数据库
         video_info_json = json.dumps([{
@@ -1147,7 +1159,8 @@ def fetch_tiktok_videos(request):
                 'total_favorited': heart_count,
                 'avatar_url': avatar_url,
                 'videos_folder': user_dir,
-                'video_paths': video_info_json
+                'video_paths': video_info_json,
+                'video_count': video_count
             }
         )
         
@@ -1161,9 +1174,11 @@ def fetch_tiktok_videos(request):
                 'avatar': avatar_url,
                 'follower_count': follower_count,
                 'total_favorited': heart_count,
-                'signature': signature
+                'signature': signature,
+                'video_count': video_count
             },
-            'videos_count': len(videos_data['data']['itemList']) if videos_data and 'data' in videos_data and 'itemList' in videos_data['data'] else 0,
+            'total_videos_count': video_count,
+            'processed_videos_count': len(top_videos),
             'downloaded_videos': len(downloaded_videos),
             'videos': [{'id': v['id'], 'desc': v['desc'][:50], 'play_count': v['play_count']} for v in downloaded_videos],
             'video_directory': user_dir  # 添加视频目录路径方便查找
@@ -1236,73 +1251,56 @@ def get_tiktok_user_videos(request):
 
 # 辅助函数
 
-def fetch_user_videos(sec_uid, max_cursor=0, count=20):
+def fetch_user_videos(sec_uid, cursor=0, count=10):
     """获取用户视频列表"""
-    url = f"{API_BASE_URL}/api/tiktok/web/fetch_user_post?secUid={sec_uid}"
+    url = f"{API_BASE_URL}/api/tiktok/web/fetch_user_post?secUid={sec_uid}&cursor={cursor}&count={count}"
     
     try:
-        response = requests.get(url)
+        response = requests.get(url, timeout=30)
+        
         if response.status_code == 200:
-            return response.json()
+            data = response.json()
+            logger.info(f"成功获取用户视频，共 {len(data['data'].get('itemList', []))} 个视频")
+            return data
         else:
-            logger.error(f"获取视频列表失败: {response.status_code}")
+            logger.error(f"获取用户视频失败: {response.status_code}")
             return None
     except Exception as e:
-        logger.error(f"获取视频列表异常: {e}")
+        logger.error(f"获取用户视频异常: {e}")
         return None
 
 def fetch_user_profile(unique_id):
     """获取用户基本信息"""
-    # 添加User-Agent头，模拟浏览器访问
-    headers = {
-        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
-        'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
-        'Referer': 'https://www.tiktok.com/'
-    }
-    
     url = f"{API_BASE_URL}/api/tiktok/web/fetch_user_profile?uniqueId={unique_id}"
     
     try:
         logger.info(f"正在请求用户资料: {url}")
-        # 添加重试机制
-        for attempt in range(3):
-            try:
-                response = requests.get(url, headers=headers, timeout=30)
-                break
-            except (requests.exceptions.Timeout, requests.exceptions.ConnectionError) as e:
-                logger.warning(f"请求超时或连接错误，尝试第{attempt+1}次重试: {e}")
-                if attempt == 2:  # 最后一次重试失败
-                    raise
-                time.sleep(2)  # 等待2秒后重试
+        response = requests.get(url, timeout=30)
         
         if response.status_code == 200:
-            try:
-                data = response.json()
-                logger.info(f"获取用户资料成功: {unique_id}")
-                
-                # 打印完整响应以便调试
-                logger.info(f"API原始响应: {data}")
-                
-                # 验证数据完整性
-                if 'data' not in data or not data['data']:
-                    logger.error(f"API响应缺少data字段: {data}")
-                    return None
-                    
-                if 'userInfo' not in data['data'] or not data['data']['userInfo']:
-                    logger.error(f"API响应缺少userInfo字段: {data['data']}")
-                    return None
-                
-                if 'user' not in data['data']['userInfo'] or not data['data']['userInfo']['user']:
-                    logger.error(f"API响应缺少user字段: {data['data']['userInfo']}")
-                    return None
-                
-                # 打印用户信息
-                logger.info(f"用户信息: {data['data']['userInfo']['user']}")
-                
-                return data
-            except json.JSONDecodeError:
-                logger.error(f"API响应不是有效的JSON: {response.text[:500]}")
+            data = response.json()
+            logger.info(f"成功获取用户资料: {unique_id}")
+            
+            # 打印完整响应以便调试
+            logger.info(f"API原始响应: {data}")
+            
+            # 验证数据完整性
+            if 'data' not in data or not data['data']:
+                logger.error(f"API响应缺少data字段: {data}")
                 return None
+                
+            if 'userInfo' not in data['data'] or not data['data']['userInfo']:
+                logger.error(f"API响应缺少userInfo字段: {data['data']}")
+                return None
+            
+            if 'user' not in data['data']['userInfo'] or not data['data']['userInfo']['user']:
+                logger.error(f"API响应缺少user字段: {data['data']['userInfo']}")
+                return None
+            
+            # 打印用户信息
+            logger.info(f"用户信息: {data['data']['userInfo']['user']}")
+            
+            return data
         else:
             logger.error(f"获取用户信息失败: HTTP {response.status_code}, 响应: {response.text[:500]}")
             return None
@@ -1326,13 +1324,9 @@ def download_video(video_id, unique_id, save_path):
     full_url = f"{api_url}?url={tiktok_url}&prefix=true&with_watermark=false"
     logger.info(f"完整的API请求URL: {full_url}")
     
-    headers = {
-        'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
-    }
-    
     try:
         # 直接使用完整URL发送请求
-        response = requests.get(full_url, headers=headers, stream=True, timeout=60)
+        response = requests.get(full_url, stream=True, timeout=60)
         
         # 检查响应状态
         if response.status_code != 200:
@@ -1360,19 +1354,29 @@ def download_video(video_id, unique_id, save_path):
         logger.error(f"详细错误: {traceback.format_exc()}")
         return False
 
-def fetch_user_followings(sec_uid):
-    """获取用户关注列表"""
-    url = f"{API_BASE_URL}/api/tiktok/web/fetch_user_follow?secUid={sec_uid}"
+def fetch_user_followings(sec_uid, max_cursor=0, min_cursor=0, page_size=30):
+    """
+    获取用户的关注列表
+    
+    Args:
+        sec_uid: 用户的安全ID
+        max_cursor: 保持为0
+        min_cursor: 分页游标，从上一次响应获取
+        page_size: 每页大小，默认30条记录
+    
+    Returns:
+        用户关注列表数据
+    """
+    url = f"{API_BASE_URL}/api/tiktok/web/fetch_user_follow?secUid={sec_uid}&count={page_size}&maxCursor={max_cursor}&minCursor={min_cursor}"
+    
+    logger.info(f"请求关注列表URL: {url}")
     
     try:
-        headers = {
-            'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
-        }
-        response = requests.get(url, headers=headers, timeout=30)
+        response = requests.get(url, timeout=30)
         
         if response.status_code == 200:
             data = response.json()
-            logger.info(f"成功获取用户关注列表，共 {len(data['data'].get('userList', []))} 个关注")
+            logger.info(f"成功获取用户关注列表，共 {len(data['data'].get('userList', []))} 个用户, minCursor={data['data'].get('minCursor')}")
             return data
         else:
             logger.error(f"获取用户关注列表失败: {response.status_code}")
@@ -1395,217 +1399,1045 @@ def filter_users_by_followers(user_list, min_followers=5000, max_followers=50000
     
     return filtered_users
 
-@csrf_exempt
-@require_http_methods(["POST"])
-def recursive_fetch_videos(request):
-    """递归获取关注列表中的用户视频"""
+def get_top_n_videos_by_play_count(sec_uid, n=10):
+    """
+    获取用户播放量前N的视频
+    
+    Args:
+        sec_uid: 用户的安全ID
+        n: 需要获取的前n个视频，默认为10
+        
+    Returns:
+        按播放量降序排列的前n个视频列表，格式为字典
+    """
+    import heapq
+    top_videos_heap = []  # 小顶堆，元组格式: (播放量, 视频ID, 描述)
+    
+    # 分页获取所有视频
+    cursor = 0
+    has_more = True
+    page = 1
+    total_videos = 0
+    
     try:
-        data = json.loads(request.body)
-        start_unique_id = data.get('unique_id')
-        max_depth = int(data.get('max_depth', 3))  # 默认递归深度为3
-        
-        if not start_unique_id:
-            return JsonResponse({
-                'status': 'error',
-                'message': '请提供起始TikTok用户ID(unique_id)'
-            }, json_dumps_params={'ensure_ascii': False})
-        
-        # 获取起始用户资料和secUid
-        user_profile = fetch_user_profile(start_unique_id)
-        if not user_profile or 'data' not in user_profile:
-            return JsonResponse({
-                'status': 'error',
-                'message': f'无法获取用户 {start_unique_id} 的资料'
-            }, json_dumps_params={'ensure_ascii': False})
-        
-        # 提取secUid和其他用户信息
-        try:
-            user_info = user_profile['data']['userInfo']['user']
-            start_sec_uid = user_info['secUid']
+        while has_more:
+            logger.info(f"获取第{page}页视频，游标: {cursor}")
+            videos_data = fetch_user_videos(sec_uid, cursor=cursor)
             
-            # 提取起始用户的详细信息
-            nickname = user_info.get('nickname', '')
-            signature = user_info.get('signature', '')
-            avatar_url = user_info.get('avatarLarger', '')
-            
-            # 提取统计信息
-            stats = user_profile['data']['userInfo'].get('stats', {})
-            follower_count = stats.get('followerCount', 0)
-            following_count = stats.get('followingCount', 0)
-            heart_count = stats.get('heartCount', 0) or stats.get('diggCount', 0)
-            video_count = stats.get('videoCount', 0)
-            
-            # 为起始用户创建目录
-            start_user_dir = os.path.join(TIKTOK_VIDEOS_PATH, start_unique_id)
-            os.makedirs(start_user_dir, exist_ok=True)
-            
-            # 保存起始用户信息到数据库
-            TiktokUserVideos.objects.update_or_create(
-                sec_user_id=start_sec_uid,
-                defaults={
-                    'nickname': nickname,
-                    'signature': signature,
-                    'follower_count': follower_count,
-                    'following_count': following_count,
-                    'total_favorited': heart_count,
-                    'video_count': video_count,
-                    'avatar_url': avatar_url,
-                    'videos_folder': start_user_dir
-                }
-            )
-            
-            logger.info(f"成功获取并保存起始用户信息: {start_unique_id}, secUid: {start_sec_uid}")
-        except (KeyError, TypeError) as e:
-            logger.error(f"解析用户资料出错: {e}")
-            return JsonResponse({
-                'status': 'error',
-                'message': f'解析用户资料出错: {str(e)}'
-            }, json_dumps_params={'ensure_ascii': False})
-        
-        # 开始递归获取视频
-        all_downloaded_videos = []
-        processed_users = set()  # 已处理的用户集合，避免重复处理
-        
-        def process_user(sec_uid, unique_id, depth=0):
-            """递归处理用户，获取视频和关注用户"""
-            if depth >= max_depth or sec_uid in processed_users:
-                return
-            
-            processed_users.add(sec_uid)
-            logger.info(f"处理用户 {unique_id}，递归深度: {depth}")
-            
-            # 确保用户目录存在
-            user_dir = os.path.join(TIKTOK_VIDEOS_PATH, unique_id)
-            os.makedirs(user_dir, exist_ok=True)
-            
-            # 下载该用户的热门视频
-            videos_data = fetch_user_videos(sec_uid)
-            all_videos = []
-            
-            if videos_data and isinstance(videos_data, dict) and 'data' in videos_data and 'itemList' in videos_data['data']:
-                for video in videos_data['data']['itemList']:
-                    try:
-                        video_id = video.get('id', '')
-                        if not video_id or not str(video_id).isdigit():
-                            continue
-                        
-                        stats = video.get('stats', {})
-                        if not isinstance(stats, dict):
-                            stats = {}
-                        
-                        play_count = int(stats.get('playCount', 0))
-                        
-                        all_videos.append({
-                            'id': video_id,
-                            'desc': video.get('desc', ''),
-                            'play_count': play_count
-                        })
-                    except Exception as e:
-                        logger.error(f"处理视频数据出错: {str(e)}")
+            if not videos_data or 'data' not in videos_data:
+                logger.error("获取视频失败，中止获取")
+                break
+                
+            videos = videos_data['data'].get('itemList', [])
+            if not videos:
+                logger.info("当前页没有视频，结束获取")
+                break
+                
+            # 处理当前页的每个视频
+            for video in videos:
+                try:
+                    video_id = video.get('id', '')
+                    if not video_id:
                         continue
-                
-                # 按播放量排序并获取前10个
-                all_videos.sort(key=lambda x: x['play_count'], reverse=True)
-                top_videos = all_videos[:10]
-                
-                # 下载视频
-                downloaded_videos = []
-                for i, video in enumerate(top_videos):
-                    video_id = video['id']
-                    save_path = os.path.join(user_dir, f"{video_id}.mp4")
+                        
+                    play_count = int(video.get('stats', {}).get('playCount', 0))
+                    desc = video.get('desc', '')
                     
-                    logger.info(f"下载用户 {unique_id} 的第 {i+1} 个热门视频: {video_id}")
-                    if download_video(video_id, unique_id, save_path):
-                        video['download_path'] = save_path
-                        video['user_unique_id'] = unique_id
-                        downloaded_videos.append(video)
-                        all_downloaded_videos.append(video)
-                    
-                    time.sleep(1)  # 避免频繁请求
-                
-                # 保存用户信息到数据库
-                video_info_json = json.dumps([{
-                    'id': v['id'],
-                    'desc': v['desc'],
-                    'play_count': v['play_count']
-                } for v in downloaded_videos], ensure_ascii=False)
-                
-                TiktokUserVideos.objects.update_or_create(
-                    sec_user_id=sec_uid,
-                    defaults={
-                        'nickname': unique_id,
-                        'videos_folder': user_dir,
-                        'video_paths': video_info_json
-                    }
-                )
+                    # 维护前n个最高播放量的视频
+                    if len(top_videos_heap) < n:
+                        # 堆还未满，直接添加
+                        heapq.heappush(top_videos_heap, (play_count, video_id, desc))
+                    elif play_count > top_videos_heap[0][0]:
+                        # 当前视频播放量比堆中最小的高，替换
+                        heapq.heappushpop(top_videos_heap, (play_count, video_id, desc))
+                except Exception as e:
+                    logger.error(f"处理视频信息出错: {e}")
             
-            # 获取关注列表
-            followings_data = fetch_user_followings(sec_uid)
-            if followings_data and 'data' in followings_data and 'userList' in followings_data['data']:
-                user_list = followings_data['data']['userList']
+            total_videos += len(videos)
+            logger.info(f"已处理 {total_videos} 个视频，当前保存了 {len(top_videos_heap)} 个候选视频")
+            
+            # 检查是否有更多页
+            has_more = videos_data['data'].get('hasMore', False)
+            if has_more:
+                cursor = videos_data['data'].get('cursor', 0)
+            
+            page += 1
+            time.sleep(1)
+        
+        # 将堆转换为字典列表而不是元组列表，并按播放量降序排序
+        top_videos_list = []
+        # 从堆中转换为临时列表并排序
+        temp_list = [(play_count, video_id, desc) for play_count, video_id, desc in top_videos_heap]
+        temp_list.sort(reverse=True)  # 从高到低排序
+        
+        # 将元组转换为字典
+        for play_count, video_id, desc in temp_list:
+            top_videos_list.append({
+                'id': video_id,
+                'desc': desc,
+                'play_count': play_count
+            })
+        
+        logger.info(f"从 {total_videos} 个视频中找到播放量最高的 {len(top_videos_list)} 个")
+        return top_videos_list
+        
+    except Exception as e:
+        logger.error(f"获取热门视频时发生错误: {str(e)}")
+        import traceback
+        logger.error(traceback.format_exc())
+        return []
+
+
+# 辅助函数，用于操作所有任务
+def list_all_tasks():
+    """获取所有任务列表"""
+    tasks = []
+    for key in redis_client.keys("task_status:*"):
+        task_id = key.decode().split(":", 1)[1]
+        task_data = get_task_status(task_id)
+        if task_data:
+            task_data['task_id'] = task_id
+            tasks.append(task_data)
+    return tasks
+
+@shared_task
+def async_fetch_videos_task(task_id, start_unique_id, max_depth=3, target_users=None, skip_user_profile=False, start_sec_uid=None):
+    """异步执行视频获取任务"""
+    try:
+        # 更新任务状态为处理中
+        update_task_status(task_id, {
+            'status': 'processing',
+            'progress': 0
+        })
+        
+        # 创建视频获取器实例
+        fetcher = TiktokVideoFetcher(
+            start_unique_id=start_unique_id,
+            max_depth=max_depth,
+            target_users=target_users,
+            skip_user_profile=skip_user_profile,  # 传递测试模式
+            start_sec_uid=start_sec_uid           # 传递临时secUid
+        )
+        
+        # 添加进度回调
+        fetcher.progress_callback = lambda progress, message: update_task_progress(task_id, progress, message)
+        
+        # 执行处理
+        if fetcher.initialize() and fetcher.process():
+            # 处理成功，保存结果
+            result = fetcher.get_result()
+            update_task_status(task_id, {
+                'status': 'completed',
+                'result': result,
+                'progress': 100
+            })
+            return True
+        else:
+            # 处理失败
+            update_task_status(task_id, {
+                'status': 'failed',
+                'error': fetcher.error_message
+            })
+            return False
+    except Exception as e:
+        # 处理异常
+        logger.error(f"异步任务执行失败: {str(e)}")
+        import traceback
+        logger.error(f"详细错误信息: {traceback.format_exc()}")
+        
+        update_task_status(task_id, {
+            'status': 'failed',
+            'error': str(e)
+        })
+        return False
+
+def update_task_progress(task_id, progress, message=None):
+    """更新任务进度"""
+    updates = {'progress': progress}
+    if message:
+        updates['message'] = message
+    update_task_status(task_id, updates)
+            
+class TiktokVideoFetcher:
+    """抖音视频获取器，支持递归获取用户关注的视频"""
+    
+    def __init__(self, start_unique_id=None, start_sec_uid=None, 
+                mode="by_users", target_users=None, max_depth=1, 
+                skip_user_profile=False, max_videos_per_user=10):
+        """
+        初始化抖音视频获取器
+        :param start_unique_id: 起始用户的uniqueId
+        :param start_sec_uid: 起始用户的secUid
+        :param mode: 模式，'by_users'(按用户数)或'by_depth'(按深度)
+        :param target_users: 目标用户数量，仅在by_users模式下有效
+        :param max_depth: 最大层级深度，仅在by_depth模式下有效
+        :param skip_user_profile: 是否跳过获取用户资料
+        :param max_videos_per_user: 每个用户最多获取的视频数量
+        """
+        # 统一参数命名：确保使用 start_sec_uid
+        self.start_unique_id = start_unique_id
+        self.start_sec_uid = start_sec_uid  # 注意这里保持为start_sec_uid
+        self.mode = mode
+        self.target_users = target_users
+        self.max_depth = max_depth
+        self.skip_user_profile = skip_user_profile
+        self.max_videos_per_user = max_videos_per_user or 10
+        
+        # 状态变量
+        self.status = "created"  # 状态: created, initializing, ready, processing, completed, failed
+        self.user_count = 0      # 已处理用户数量
+        self.video_count = 0     # 已下载视频数量
+        self.progress = 0        # 进度百分比
+        self.progress_message = "" # 进度消息
+        self.error_message = ""  # 错误消息
+        
+        # 队列和集合
+        self.user_queue = deque()  # 待处理用户队列，元素为 (sec_uid, unique_id, depth)
+        self.processed_users = set()  # 已处理的用户集合
+        
+        # 创建目录
+        os.makedirs(TIKTOK_VIDEOS_PATH, exist_ok=True)
+        
+        logger.info(f"初始化TiktokVideoFetcher: mode={mode}, max_depth={max_depth}, target_users={target_users}")
+        
+    def initialize(self):
+        """初始化处理，获取起始用户信息"""
+        try:
+            self.status = "initializing"
+            logger.info(f"开始初始化，起始用户: {self.start_unique_id or '使用secUid'}")
+            
+            # 如果直接提供secUid，则直接使用
+            if self.start_sec_uid:
+                logger.info(f"直接使用提供的secUid: {self.start_sec_uid}")
                 
-                # 筛选粉丝数在5000-50000之间的用户
-                filtered_users = filter_users_by_followers(user_list, 5000, 50000)
-                logger.info(f"用户 {unique_id} 的关注列表中有 {len(filtered_users)} 个粉丝数在5000-50000之间")
+                # 如果未提供unique_id，使用secUid的一部分作为替代
+                display_id = self.start_unique_id or f"user_{self.start_sec_uid[:8]}"
                 
-                # 取前5个用户
-                for user_data in filtered_users[:5]:
+                # 简化队列元素：只保留sec_uid、unique_id和深度
+                self.user_queue.append((self.start_sec_uid, display_id, 0))
+                self.status = "ready"
+                return True
+            
+            # 如果只提供了uniqueId，需要获取secUid
+            elif self.start_unique_id:
+                logger.info(f"通过uniqueId获取用户secUid: {self.start_unique_id}")
+                user_profile = fetch_user_profile(self.start_unique_id)
+                
+                # 检查错误
+                if isinstance(user_profile, dict) and 'error' in user_profile:
+                    error_message = user_profile['error']
+                    self.error_message = f'获取用户资料出错: {error_message}'
+                    self.status = "failed"
+                    return False
+                
+                if not user_profile or 'data' not in user_profile or not user_profile['data']:
+                    self.error_message = f'无法获取用户资料或用户不存在: {self.start_unique_id}'
+                    self.status = "failed"
+                    return False
+                    
+                try:
+                    user_data = user_profile['data']
+                    sec_uid = user_data.get('secUid', '')
+                    if not sec_uid:
+                        self.error_message = f'无法获取用户secUid: {self.start_unique_id}'
+                        self.status = "failed"
+                        return False
+                    
+                    # 添加到队列中，深度为0
+                    self.user_queue.append((sec_uid, self.start_unique_id, 0))
+                    
+                    # 创建或更新用户数据库记录
                     try:
-                        # 直接从关注列表中提取用户信息
-                        user_obj = user_data['user']
-                        following_sec_uid = user_obj['secUid']
-                        following_unique_id = user_obj['uniqueId']
-                        
-                        # 获取用户详细信息
-                        nickname = user_obj.get('nickname', '')
-                        signature = user_obj.get('signature', '')
-                        avatar_url = user_obj.get('avatarLarger', '')
-                        
-                        # 获取统计信息
-                        stats = user_data.get('stats', {})
-                        follower_count = stats.get('followerCount', 0)
-                        following_count = stats.get('followingCount', 0)
-                        heart_count = stats.get('heartCount', 0)
-                        video_count = stats.get('videoCount', 0)
-                        
-                        # 保存用户信息到数据库（即使尚未下载视频）
-                        follow_user_dir = os.path.join(TIKTOK_VIDEOS_PATH, following_unique_id)
                         TiktokUserVideos.objects.update_or_create(
-                            sec_user_id=following_sec_uid,
+                            sec_user_id=sec_uid,
                             defaults={
-                                'nickname': nickname,
-                                'signature': signature,
-                                'follower_count': follower_count,
-                                'following_count': following_count,
-                                'total_favorited': heart_count,
-                                'video_count': video_count,
-                                'avatar_url': avatar_url,
-                                'videos_folder': follow_user_dir
+                                'unique_id': self.start_unique_id,
+                                'nickname': user_data.get('nickname', ''),
+                                'follower_count': user_data.get('followerCount', 0),
+                                'following_count': user_data.get('followingCount', 0),
+                                'video_count': user_data.get('videoCount', 0),
+                                'videos_folder': os.path.join('videos', self.start_unique_id)
                             }
                         )
-                        
-                        # 递归处理关注的用户
-                        process_user(following_sec_uid, following_unique_id, depth + 1)
                     except Exception as e:
-                        logger.error(f"处理关注用户时出错: {e}")
+                        logger.warning(f"保存用户数据到数据库失败，但不影响继续处理: {e}")
+                    
+                    self.status = "ready"
+                    return True
+                except KeyError:
+                    self.error_message = f'用户资料结构不完整，无法提取secUid'
+                    self.status = "failed"
+                    return False
+            
+            # 两者都没提供
+            else:
+                self.error_message = "未提供secUid或uniqueId，无法初始化"
+                self.status = "failed"
+                return False
+                
+        except Exception as e:
+            logger.error(f"初始化失败: {e}")
+            import traceback
+            logger.error(f"详细错误信息: {traceback.format_exc()}")
+            self.error_message = f"初始化失败: {str(e)}"
+            self.status = "failed"
+            return False
+            
+    def process(self):
+        """执行主处理逻辑"""
+        if self.status != "ready":
+            if not self.initialize():
+                return False
+        
+        self.status = "processing"
+        self._report_progress(5, "初始化完成，开始处理")
+        
+        try:
+            # 预先估算总任务量
+            total_users = self.target_users if self.mode == "by_users" and self.target_users else 50
+            
+            # 主处理循环
+            while self.user_queue:
+                # 按人数抓取模式下，达到目标人数则停止
+                if self.mode == "by_users" and self.target_users is not None and self.user_count >= self.target_users:
+                    logger.info(f"已达到目标用户数 {self.target_users}，停止处理")
+                    break
+                    
+                # 队列中只有sec_uid、unique_id和depth
+                sec_uid, unique_id, depth = self.user_queue.popleft()
+                
+                # 如果超过最大深度且是按层级模式，则跳过此用户
+                if self.mode == "by_depth" and depth > self.max_depth:
+                    continue
+                    
+                # 如果用户已处理，跳过
+                if sec_uid in self.processed_users:
+                    continue
+                    
+                # 处理单个用户
+                self._process_single_user(sec_uid, unique_id, depth)
+                
+                # 报告进度
+                progress = min(95, int(self.user_count / total_users * 90) + 5)
+                self._report_progress(progress, f"已处理 {self.user_count} 个用户，已下载 {self.video_count} 个视频")
+            
+            self.status = "completed"
+            self._report_progress(100, f"处理完成，共处理 {self.user_count} 个用户，下载 {self.video_count} 个视频")
+            return True
+            
+        except Exception as e:
+            logger.error(f"处理过程中出错: {e}")
+            import traceback
+            logger.error(f"详细错误信息: {traceback.format_exc()}")
+            self.error_message = f"处理过程中出错: {str(e)}"
+            self.status = "failed"
+            self._report_progress(0, f"处理失败: {str(e)}")
+            return False
+            
+    def _process_single_user(self, sec_uid, unique_id, depth):
+        """处理单个用户的视频和关注列表 - 简化版"""
+        # 标记为已处理
+        self.processed_users.add(sec_uid)
+        self.user_count += 1
+        
+        logger.info(f"开始处理用户 {unique_id}，深度: {depth}")
+        
+        try:
+            # 创建基本用户记录（如果不存在）
+            try:
+                TiktokUserVideos.objects.get_or_create(
+                    sec_user_id=sec_uid,
+                    defaults={
+                        'unique_id': unique_id,
+                        'videos_folder': os.path.join('videos', unique_id)
+                    }
+                )
+            except Exception as e:
+                logger.error(f"创建基本用户记录失败: {e}")
+            
+            # 获取并下载视频
+            downloaded_videos = self._fetch_user_videos(sec_uid, unique_id, depth)
+            
+            # 处理用户的关注列表
+            if self.mode == "by_depth" and depth < self.max_depth:
+                next_depth = depth + 1
+                self._process_user_followings(sec_uid, next_depth)
+            elif self.mode == "by_users" and self.user_count < self.target_users:
+                next_depth = depth + 1
+                self._process_user_followings(sec_uid, next_depth)
+            
+            # 报告进度
+            self._report_progress(
+                min(95, int(self.user_count / (self.target_users or 50) * 90) + 5),
+                f"已处理 {self.user_count} 个用户，已下载 {self.video_count} 个视频"
+            )
+            
+        except Exception as e:
+            logger.error(f"处理用户 {unique_id} 时出错: {e}")
+            import traceback
+            logger.error(traceback.format_exc())
+            
+    def _fetch_user_videos(self, sec_uid, unique_id, depth):
+        """获取并下载用户视频，优先处理字典格式数据"""
+        # 导入traceback
+        import traceback
+        
+        downloaded_videos = []
+        
+        # 使用unique_id创建视频文件夹
+        videos_folder = os.path.join(TIKTOK_VIDEOS_PATH, unique_id)
+        os.makedirs(videos_folder, exist_ok=True)
+        
+        logger.info(f"开始处理用户 {unique_id} 的视频")
+        
+        try:
+            # 获取视频列表 - 现在统一返回字典列表
+            logger.info(f"调用 get_top_n_videos_by_play_count({sec_uid}, n={self.max_videos_per_user})")
+            top_videos = get_top_n_videos_by_play_count(sec_uid, n=self.max_videos_per_user)
+            
+            # 记录返回值类型
+            logger.info(f"获取到视频列表: 类型={type(top_videos).__name__}, 数量={len(top_videos)}")
+            
+            # 如果没有获取到视频，仅更新文件夹路径
+            if not top_videos:
+                logger.warning(f"未能获取到用户 {unique_id} 的任何视频")
+                try:
+                    TiktokUserVideos.objects.filter(sec_user_id=sec_uid).update(
+                        videos_folder=videos_folder
+                    )
+                except Exception as e:
+                    logger.error(f"更新用户视频文件夹失败: {e}")
+                    logger.error(traceback.format_exc())
+                return []
+            
+            # 处理每个视频 - 显示进度
+            total_videos = len(top_videos)
+            logger.info(f"开始处理 {total_videos} 个视频")
+            
+            for i, video_data in enumerate(top_videos):
+                current_num = i + 1
+                progress_str = f"({total_videos}/{current_num})"  # 进度显示格式：(总数/当前)
+                logger.info(f"{progress_str} 开始处理第 {current_num}/{total_videos} 个视频")
+                
+                try:
+                    # 视频信息提取 - 优先按字典处理，确保兼容性
+                    if isinstance(video_data, dict):
+                        video_id = str(video_data.get('id', ''))
+                        play_count = video_data.get('play_count', 0)
+                        desc = video_data.get('desc', '')
+                        logger.info(f"{progress_str} 字典数据: ID={video_id}, 播放={play_count}")
+                    else:
+                        # 如果不是字典，尝试按元组处理（向后兼容）
+                        logger.warning(f"{progress_str} 收到非字典数据: {type(video_data).__name__}")
+                        if isinstance(video_data, tuple) and len(video_data) >= 2:
+                            play_count, video_id, *rest = video_data
+                            desc = rest[0] if rest else ""
+                            video_id = str(video_id)
+                            logger.info(f"{progress_str} 元组数据: ID={video_id}, 播放={play_count}")
+                        else:
+                            logger.error(f"{progress_str} 无法解析数据: {video_data}")
+                            continue
+                    
+                    # 视频ID必须存在
+                    if not video_id:
+                        logger.warning(f"{progress_str} 视频ID为空，跳过")
                         continue
+                    
+                    # 视频文件名
+                    video_filename = f"{video_id}.mp4"
+                    video_path = os.path.join(videos_folder, video_filename)
+                    
+                    # 如果文件已存在且大小大于0，则跳过下载
+                    if os.path.exists(video_path) and os.path.getsize(video_path) > 0:
+                        logger.info(f"{progress_str} 视频已存在: {video_id}")
+                        
+                        # 创建字典并添加到列表 - 统一使用字典格式
+                        video_dict = {
+                            'id': video_id,
+                            'desc': desc,
+                            'play_count': play_count
+                        }
+                        downloaded_videos.append(video_dict)
+                        continue
+                    
+                    # 下载视频 - 显示下载进度
+                    logger.info(f"{progress_str} 开始下载视频: {video_id}")
+                    if download_video(video_id, unique_id, video_path):
+                        logger.info(f"{progress_str} 视频下载成功: {video_id}")
+                        self.video_count += 1
+                        
+                        # 创建字典并添加到列表
+                        video_dict = {
+                            'id': video_id,
+                            'desc': desc,
+                            'play_count': play_count
+                        }
+                        downloaded_videos.append(video_dict)
+                    else:
+                        logger.error(f"{progress_str} 下载视频失败: {video_id}")
+                
+                except Exception as e:
+                    logger.error(f"{progress_str} 处理单个视频时出错: {e}")
+                    logger.error(traceback.format_exc())
+                    continue
+                
+                # 避免过快请求
+                logger.info(f"{progress_str} 处理完成，等待2秒...")
+                time.sleep(2)
+            
+            # 更新数据库 - 只更新模型中实际存在的字段
+            try:
+                TiktokUserVideos.objects.filter(sec_user_id=sec_uid).update(
+                    videos_folder=videos_folder
+                )
+                
+                # 记录视频信息，但不保存到数据库
+                video_info_json = json.dumps(downloaded_videos, ensure_ascii=False)
+                logger.info(f"已处理 {len(downloaded_videos)}/{total_videos} 个视频")
+                logger.info(f"数据库更新成功: 更新了 videos_folder={videos_folder}")
+                
+            except Exception as e:
+                logger.error(f"更新数据库失败: {e}")
+                logger.error(traceback.format_exc())
         
-        # 开始递归处理
-        process_user(start_sec_uid, start_unique_id)
+        except Exception as e:
+            logger.error(f"处理用户 {unique_id} 视频时发生错误: {str(e)}")
+            logger.error(traceback.format_exc())
         
+        return downloaded_videos
+            
+    def _process_user_followings(self, sec_uid, next_depth):
+        """处理用户的关注列表，添加符合粉丝数条件的前5个用户到队列中"""
+        try:
+            logger.info(f"获取用户关注列表: {sec_uid}, 深度: {next_depth}")
+            
+            max_cursor = 0  # maxCursor保持为0
+            min_cursor = 0  # 初始minCursor为0
+            max_time = time.time()
+            filtered_users_count = 0  # 已筛选出的符合条件的用户数量
+            max_filtered_users = 5  # 只获取前5个符合条件的用户
+            processed_sec_uids = set()  # 用于去重
+            page = 1  # 页码计数
+            
+            while True:
+                # 如果已经找到足够的用户，停止获取
+                if filtered_users_count >= max_filtered_users:
+                    logger.info(f"已找到 {max_filtered_users} 个符合条件的用户，停止获取")
+                    break
+                
+                # 获取关注列表，使用正确的游标参数
+                logger.info(f"获取关注列表第{page}页: maxCursor={max_cursor}, minCursor={min_cursor}")
+                followings_data = fetch_user_followings(sec_uid, max_cursor=max_cursor, min_cursor=min_cursor, page_size=30)
+                
+                if not followings_data or 'data' not in followings_data:
+                    logger.warning(f"无法获取用户关注列表: {sec_uid}")
+                    break
+                
+                # 获取用户列表
+                user_list = followings_data['data'].get('userList', [])
+                
+                if not user_list:
+                    logger.info("没有更多关注用户")
+                    break
+                
+                logger.info(f"获取到 {len(user_list)} 个关注用户")
+                
+                # 使用filter_users_by_followers函数筛选符合粉丝数条件的用户
+                filtered_users = filter_users_by_followers(user_list)
+                logger.info(f"本页筛选出 {len(filtered_users)} 个粉丝数符合条件的用户")
+                
+                # 处理筛选后的用户
+                for following in filtered_users:
+                    # 如果已经找到足够的用户，停止处理
+                    if filtered_users_count >= max_filtered_users:
+                        break
+                    
+                    # 获取用户信息
+                    user_data = following.get('user', {})
+                    stats_data = following.get('stats', {})
+                    
+                    follower_sec_uid = user_data.get('secUid')
+                    follower_unique_id = user_data.get('uniqueId')
+                    
+                    # 检查必要字段
+                    if not follower_sec_uid or not follower_unique_id:
+                        logger.warning("用户数据不完整，缺少必要字段")
+                        continue
+                    
+                    # 检查是否已处理过该用户
+                    if follower_sec_uid in processed_sec_uids or follower_sec_uid in self.processed_users:
+                        continue
+                    
+                    # 添加到已处理集合
+                    processed_sec_uids.add(follower_sec_uid)
+                    filtered_users_count += 1
+                    
+                    # 添加到队列
+                    self.user_queue.append((follower_sec_uid, follower_unique_id, next_depth))
+                    logger.info(f"添加符合条件的用户到队列: {follower_unique_id}, 粉丝数: {stats_data.get('followerCount', 0)}")
+                    
+                    # 保存到数据库
+                    try:
+                        TiktokUserVideos.objects.update_or_create(
+                            sec_user_id=follower_sec_uid,
+                            defaults={
+                                'unique_id': follower_unique_id,
+                                'nickname': user_data.get('nickname', ''),
+                                'follower_count': stats_data.get('followerCount', 0),
+                                'following_count': stats_data.get('followingCount', 0),
+                                'video_count': stats_data.get('videoCount', 0)
+                            }
+                        )
+                    except Exception as e:
+                        logger.error(f"保存关注用户到数据库失败: {follower_unique_id}, {e}")
+                
+                # 检查是否已找到足够的用户
+                if filtered_users_count >= max_filtered_users:
+                    break
+                
+                # 更新游标处理
+                old_min_cursor = min_cursor
+                min_cursor = followings_data['data'].get('minCursor', 0)
+                has_more = followings_data['data'].get('hasMore', False)
+                
+                # 记录游标更新
+                logger.info(f"游标更新: 旧min_cursor={old_min_cursor} -> 新min_cursor={min_cursor}, has_more={has_more}")
+                
+                # 检查游标是否有效和是否有更多数据
+                if not has_more or min_cursor == old_min_cursor or not min_cursor:
+                    logger.info("没有更多数据或游标无效，结束获取")
+                    break
+                
+                # 防止过度请求
+                logger.info("等待1秒后获取下一页...")
+                time.sleep(1)
+                
+                # 增加页码
+                page += 1
+                
+                # 时间限制
+                if time.time() - max_time > 60:  # 最多获取1分钟
+                    logger.warning(f"达到时间限制，停止获取更多关注用户")
+                    break
+            
+            logger.info(f"用户关注处理完成，共筛选出 {filtered_users_count} 个符合条件的用户")
+            
+        except Exception as e:
+            logger.error(f"处理用户关注列表出错: {e}")
+            import traceback
+            logger.error(traceback.format_exc())
+        
+    def _report_progress(self, progress, message):
+        """报告处理进度"""
+        self.progress = progress
+        self.progress_message = message
+        logger.info(f"进度更新: {progress}%, {message}")
+        
+    def get_progress(self):
+        """获取当前进度信息"""
+        return {
+            'status': self.status,
+            'progress': self.progress,
+            'message': self.progress_message,
+            'error': self.error_message,
+            'user_count': self.user_count,
+            'video_count': self.video_count
+        }
+    
+    def get_result(self):
+        """获取处理结果，包括统计信息"""
+        return {
+            'status': self.status,
+            'processed_users': self.user_count,
+            'downloaded_videos': self.video_count,
+            'error': self.error_message,
+            'completed_at': datetime.now().isoformat()
+        }
+
+@csrf_exempt
+@require_http_methods(["POST"])
+def start_recursive_fetch_videos(request):
+    """启动异步视频获取任务"""
+    try:
+        # 导入traceback
+        import traceback
+        
+        data = json.loads(request.body)
+        start_unique_id = data.get('start_unique_id')
+        start_sec_uid = data.get('start_sec_uid')  # 保持参数一致性
+        
+        # 如果提供了sec_uid但没提供start_sec_uid，使用sec_uid
+        if not start_sec_uid and data.get('sec_uid'):
+            start_sec_uid = data.get('sec_uid')
+            logger.info(f"使用sec_uid作为start_sec_uid: {start_sec_uid}")
+        
+        mode = data.get('mode', 'by_users')
+        max_depth = int(data.get('max_depth', 3))
+        skip_user_profile = data.get('skip_user_profile', False)
+        max_videos_per_user = int(data.get('max_videos_per_user', 10))
+        
+        # 检查必要参数
+        if not start_unique_id and not start_sec_uid:
+            return JsonResponse({
+                'code': 400,
+                'message': '参数错误',
+                'error': '请提供起始用户ID(start_unique_id)或用户secUid(start_sec_uid)'
+            }, json_dumps_params={'ensure_ascii': False})
+        
+        # 确保目标用户数是整数
+        target_users = None
+        if 'target_users' in data and data['target_users']:
+            try:
+                target_users = int(data['target_users'])
+            except (ValueError, TypeError):
+                return JsonResponse({
+                    'code': 400,
+                    'message': '参数错误',
+                    'error': 'target_users必须是整数'
+                }, json_dumps_params={'ensure_ascii': False})
+        
+        # 生成任务ID
+        task_id = str(uuid.uuid4())
+        
+        # 记录任务信息
+        logger.info(f"========================= 任务启动 =========================")
+        logger.info(f"任务ID: {task_id}")
+        logger.info(f"起始用户: {start_unique_id or '使用secUid'}")
+        logger.info(f"起始secUid: {start_sec_uid}")
+        logger.info(f"模式: {mode}")
+        logger.info(f"最大深度: {max_depth}")
+        logger.info(f"目标用户数: {target_users if target_users else '不限'}")
+        logger.info(f"跳过用户资料: {skip_user_profile}")
+        logger.info(f"每用户最大视频数: {max_videos_per_user}")
+        logger.info(f"========================================================")
+        
+        # 创建任务参数字典
+        task_params = {
+            'start_unique_id': start_unique_id,
+            'start_sec_uid': start_sec_uid,  # 保持一致的参数命名
+            'mode': mode,
+            'target_users': target_users,
+            'max_depth': max_depth,
+            'skip_user_profile': skip_user_profile,
+            'max_videos_per_user': max_videos_per_user
+        }
+        
+        # 初始化任务状态
+        set_task_status(task_id, {
+            'status': 'pending',
+            'progress': 0,
+            'message': '任务已提交，等待处理',
+            'result': None,
+            'error': None,
+            'created_at': datetime.now().isoformat(),
+            'params': task_params
+        })
+        
+        # 启动异步任务 - 统一使用start_sec_uid参数名
+        async_fetch_videos_task.delay(
+            task_id,
+            start_unique_id,
+            max_depth,
+            target_users, 
+            skip_user_profile,
+            start_sec_uid  # 参数名保持一致
+        )
+        
+        # 返回任务ID
         return JsonResponse({
-            'status': 'success',
-            'message': '递归获取视频完成',
-            'processed_users_count': len(processed_users),
-            'downloaded_videos_count': len(all_downloaded_videos),
-            'downloaded_videos': [{'id': v['id'], 'desc': v['desc'][:50], 'play_count': v['play_count'], 'user': v['user_unique_id']} for v in all_downloaded_videos[:100]]  # 只返回前100个视频信息，避免响应过大
+            'code': 200,
+            'message': '任务已提交',
+            'data': {
+                'task_id': task_id,
+                'status': 'pending'
+            }
         }, json_dumps_params={'ensure_ascii': False})
         
     except Exception as e:
-        logger.error(f"递归获取TikTok视频失败: {e}")
+        logger.error(f"启动异步任务失败: {str(e)}")
         import traceback
-        logger.error(f"详细错误: {traceback.format_exc()}")
+        logger.error(f"详细错误信息: {traceback.format_exc()}")
+        return JsonResponse({
+            'code': 500,
+            'message': '服务器错误',
+            'error': f'启动异步任务失败: {str(e)}'
+        }, json_dumps_params={'ensure_ascii': False})
+
+@csrf_exempt
+@require_http_methods(["GET"])
+def check_fetch_task_status(request, task_id):
+    """检查任务状态"""
+    task_info = get_task_status(task_id)
+    
+    if not task_info:
         return JsonResponse({
             'status': 'error',
-            'message': f'递归获取TikTok视频失败: {str(e)}'
+            'message': '任务不存在'
         }, json_dumps_params={'ensure_ascii': False})
+    
+    # 构建响应数据
+    response_data = {
+        'status': task_info.get('status', 'unknown'),
+        'progress': task_info.get('progress', 0),
+        'message': task_info.get('message', ''),
+        'error': task_info.get('error'),
+        'created_at': task_info.get('created_at', '')
+    }
+    
+    return JsonResponse(response_data, json_dumps_params={'ensure_ascii': False})
+
+@csrf_exempt
+@require_http_methods(["GET"])
+def get_fetch_task_result(request, task_id):
+    """获取任务完整结果"""
+    task_info = get_task_status(task_id)
+    
+    if not task_info:
+        return JsonResponse({
+            'status': 'error',
+            'message': '任务不存在'
+        }, json_dumps_params={'ensure_ascii': False})
+    
+    if task_info['status'] != 'completed':
+        return JsonResponse({
+            'status': 'error',
+            'message': f'任务尚未完成，当前状态: {task_info["status"]}'
+        }, json_dumps_params={'ensure_ascii': False})
+    
+    # 返回完整结果
+    return JsonResponse(task_info['result'], json_dumps_params={'ensure_ascii': False})
+
+# 任务管理API
+@csrf_exempt
+@require_http_methods(["GET"])
+def list_fetch_tasks(request):
+    """列出所有任务"""
+    tasks = []
+    all_tasks = list_all_tasks()
+    
+    for task_info in all_tasks:
+        tasks.append({
+            'task_id': task_info.get('task_id'),
+            'status': task_info.get('status'),
+            'progress': task_info.get('progress', 0),
+            'message': task_info.get('message', ''),
+            'created_at': task_info.get('created_at'),
+            'unique_id': task_info.get('params', {}).get('unique_id') if 'params' in task_info else None
+        })
+    
+    return JsonResponse({
+        'tasks': sorted(tasks, key=lambda x: x['created_at'] if 'created_at' in x else '', reverse=True)
+    }, json_dumps_params={'ensure_ascii': False})
+
+@csrf_exempt
+@require_http_methods(["DELETE"])
+def clean_completed_tasks(request):
+    """清理已完成的任务"""
+    completed_count = 0
+    all_tasks = list_all_tasks()
+    
+    for task_info in all_tasks:
+        task_id = task_info.get('task_id')
+        if task_info.get('status') in ['completed', 'failed']:
+            if 'created_at' in task_info and \
+               datetime.fromisoformat(task_info['created_at']) < datetime.now() - timedelta(days=1):
+                redis_client.delete(f"task_status:{task_id}")
+                completed_count += 1
+    
+    return JsonResponse({
+        'status': 'success',
+        'message': f'已清理 {completed_count} 个完成超过24小时的任务'
+    }, json_dumps_params={'ensure_ascii': False})
+
+@csrf_exempt
+@require_http_methods(["POST"])
+def fetch_videos_with_callback(request):
+    """启动任务并设置回调URL，任务完成后自动发送结果"""
+    try:
+        data = json.loads(request.body)
+        callback_url = data.get('callback_url')
+        
+        if not callback_url:
+            return JsonResponse({
+                'status': 'error',
+                'message': '必须提供callback_url参数'
+            }, json_dumps_params={'ensure_ascii': False})
+        
+        task_id = str(uuid.uuid4())
+        
+        # 使用Redis存储任务状态
+        set_task_status(task_id, {
+            'status': 'pending',
+            'progress': 0,
+            'message': '任务已创建，等待处理',
+            'error': None,
+            'callback_url': callback_url,
+            'params': data,
+            'created_at': datetime.now().isoformat()
+        })
+        
+        # 启动任务
+        fetch_and_callback_task.delay(task_id, data)
+        
+        return JsonResponse({
+            'status': 'accepted',
+            'message': '任务已启动，完成后将回调通知',
+            'task_id': task_id
+        }, json_dumps_params={'ensure_ascii': False})
+    except Exception as e:
+        logger.error(f"启动任务失败: {str(e)}")
+        return JsonResponse({
+            'status': 'error',
+            'message': f'启动任务失败: {str(e)}'
+        }, json_dumps_params={'ensure_ascii': False})
+
+@shared_task
+def fetch_and_callback_task(task_id, data):
+    """执行视频获取并回调通知"""
+    try:
+        # 更新任务状态为处理中
+        update_task_status(task_id, {
+            'status': 'processing',
+            'message': '正在处理中'
+        })
+        
+        # 在任务开始时关闭可能存在的旧连接
+        from django.db import connections
+        for conn in connections.all():
+            conn.close()
+            
+        fetcher = TiktokVideoFetcher(
+            start_unique_id=data.get('unique_id'),
+            max_depth=int(data.get('max_depth', 3)),
+            target_users=int(data.get('target_users')) if 'target_users' in data and data['target_users'] else None
+        )
+        
+        if fetcher.initialize() and fetcher.process():
+            result = fetcher.get_result()
+            update_task_status(task_id, {
+                'status': 'completed',
+                'result': result
+            })
+        else:
+            update_task_status(task_id, {
+                'status': 'failed',
+                'error': fetcher.error_message
+            })
+            result = {
+                'status': 'error',
+                'message': fetcher.error_message
+            }
+        
+        # 发送回调通知
+        callback_url = get_task_status(task_id)['callback_url']
+        try:
+            response = requests.post(callback_url, json={
+                'task_id': task_id,
+                'result': result
+            }, timeout=30)
+            
+            update_task_status(task_id, {
+                'callback_status': response.status_code
+            })
+        except Exception as e:
+            logger.error(f"回调通知失败: {str(e)}")
+            update_task_status(task_id, {
+                'callback_status': 'failed',
+                'callback_error': str(e)
+            })
+            
+            # 尝试发送错误回调
+            try:
+                callback_url = get_task_status(task_id)['callback_url']
+                requests.post(callback_url, json={
+                    'task_id': task_id,
+                    'status': 'error',
+                    'message': str(e)
+                }, timeout=30)
+            except:
+                pass
+    except Exception as e:
+        logger.error(f"任务执行失败: {str(e)}")
+        update_task_status(task_id, {
+            'status': 'failed',
+            'error': str(e)
+        })
+        
+        # 尝试发送错误回调
+        try:
+            callback_url = get_task_status(task_id)['callback_url']
+            requests.post(callback_url, json={
+                'task_id': task_id,
+                'status': 'error',
+                'message': str(e)
+            }, timeout=30)
+        except:
+            pass
+
+@csrf_exempt
+@require_http_methods(["POST"])
+def reset_task_status(request, task_id):
+    """手动重置任务状态（临时解决方案）"""
+    try:
+        task_info = get_task_status(task_id)
+        
+        if not task_info:
+            return JsonResponse({
+                'status': 'error',
+                'message': '任务不存在'
+            }, json_dumps_params={'ensure_ascii': False})
+        
+        # 重置任务状态
+        set_task_status(task_id, {
+            'status': 'reset',
+            'message': '任务已手动重置',
+            'reset_time': datetime.now().isoformat(),
+            'original_status': task_info.get('status', 'unknown')
+        })
+        
+        return JsonResponse({
+            'status': 'success',
+            'message': f'任务 {task_id} 已重置'
+        }, json_dumps_params={'ensure_ascii': False})
+    except Exception as e:
+        return JsonResponse({
+            'status': 'error',
+            'message': f'重置失败: {str(e)}'
+        }, json_dumps_params={'ensure_ascii': False})
+
+@csrf_exempt
+@require_http_methods(["GET"])
+def check_task_status_detail(request, task_id):
+    """获取任务详细状态信息（包含调试数据）"""
+    task_info = get_task_status(task_id)
+    
+    if not task_info:
+        return JsonResponse({
+            'status': 'error',
+            'message': '任务不存在'
+        }, json_dumps_params={'ensure_ascii': False})
+    
+    # 添加系统诊断信息
+    try:
+        import celery.app.control
+        from automated_task_monitor.celery import app  # 替换为您的Celery应用实例
+        
+        # 获取活跃Worker
+        inspector = app.control.inspect()
+        active_workers = inspector.active()
+        active_tasks = inspector.active()
+        
+        task_info['debug'] = {
+            'active_workers': bool(active_workers),
+            'worker_count': len(active_workers) if active_workers else 0,
+            'active_tasks': active_tasks,
+            'server_time': datetime.now().isoformat()
+        }
+    except Exception as e:
+        task_info['debug'] = {
+            'error': str(e),
+            'server_time': datetime.now().isoformat()
+        }
+    
+    return JsonResponse(task_info, json_dumps_params={'ensure_ascii': False})
+
diff --git a/requirements.txt b/requirements.txt
index 1a17f688688bee4533dd8ee9ba2f77b36cb91a2d..aea9d30f2cce21d6d3e3a37b308c0a60ed52f6a7 100644
GIT binary patch
delta 212
zcmX@Zw1{PbQfM+mDnk)N2}34B8W7t8p%H@t5SudSF&F}|F_7eC;9^K-$Y4kWsw@Vo
zFJaJS$YaO{@^XP<IY50?U{gT4je&YhCQ7;rW-_Dz6(xd=1PK~W46n5=V5kJ@uEMYf
wWJ3|qj6#M|AXyAlQw&uDa)A-Z9TU&jDwF~h<$x_r0t!PM3sRs5bTY^Y0MJMzMgRZ+

delta 16
YcmZ3)a)xPw(!>UviC4-dcQIA~06C8a<p2Nx

diff --git a/urls.py b/urls.py
new file mode 100644
index 0000000..0519ecb
--- /dev/null
+++ b/urls.py
@@ -0,0 +1 @@
+ 
\ No newline at end of file