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fix: harden scheduling and deployment flow

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This commit is contained in:
Rixuan Shao
2026-07-11 14:58:05 +08:00
parent c496d90039
commit e3142cabbf
28 changed files with 552 additions and 1750 deletions
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docker-compose.yml
+8 -4
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@@ -9,8 +9,8 @@ services:
max-size: "20m"
max-file: "3"
ports:
- "${PROXY_HTTP_PORT:-7890}:7890"
- "${PROXY_CONTROLLER_PORT:-9090}:9090"
- "${PROXY_BIND_ADDRESS:-127.0.0.1}:${PROXY_HTTP_PORT:-7890}:7890"
- "${PROXY_BIND_ADDRESS:-127.0.0.1}:${PROXY_CONTROLLER_PORT:-9090}:9090"
volumes:
- ./proxy/config.yaml:/root/.config/mihomo/config.yaml:ro
@@ -43,8 +43,10 @@ services:
NO_PROXY: localhost,127.0.0.1,login-desktop,douyin.com,amemv.com,snssdk.com,bytedance.com,pstatp.com,volccdn.com,bytescm.com,byted.net,douyinstatic.com,bytecdn.cn,byteimg.com,bytegoofy.com,toutiaostatic.com
SPARKFLOW_LOGIN_DESKTOP_API_URL: http://login-desktop:18090
LOGIN_DESKTOP_PUBLIC_PORT: ${LOGIN_DESKTOP_WEB_PORT:-8788}
SPARKFLOW_LOGIN_DESKTOP_PUBLIC_URL: ${LOGIN_DESKTOP_PUBLIC_URL:-http://127.0.0.1:8788/vnc.html?autoconnect=1&resize=scale&view_only=0}
SPARKFLOW_SESSION_COOKIE_SECURE: ${SPARKFLOW_SESSION_COOKIE_SECURE:-0}
ports:
- "${WEB_PORT:-8787}:8787"
- "${WEB_BIND_ADDRESS:-0.0.0.0}:${WEB_PORT:-8787}:8787"
command: python main.py --web --host 0.0.0.0 --port 8787
volumes:
- ./DouYinSparkFlow:/app
@@ -69,7 +71,7 @@ services:
ALL_PROXY: socks5://proxy:7890
NO_PROXY: localhost,127.0.0.1,login-desktop,douyin.com,amemv.com,snssdk.com,bytedance.com,pstatp.com,volccdn.com,bytescm.com,byted.net,douyinstatic.com,bytecdn.cn,byteimg.com,bytegoofy.com,toutiaostatic.com
ports:
- "${LOGIN_DESKTOP_WEB_PORT:-8788}:6080"
- "${LOGIN_DESKTOP_BIND_ADDRESS:-127.0.0.1}:${LOGIN_DESKTOP_WEB_PORT:-8788}:6080"
command: bash /app/scripts/start_login_desktop.sh
volumes:
- ./DouYinSparkFlow:/app
@@ -94,6 +96,8 @@ services:
- ./DouYinSparkFlow:/app
- ./DouYinSparkFlow/logs:/app/logs
- ./state/cron:/host-spool-cron
- ./state/browser-profiles:/opt/douyin-sparkflow/state/browser-profiles
- /var/run/docker.sock:/var/run/docker.sock
task:
image: douyin-sparkflow:local