76 lines
1.8 KiB
Bash
76 lines
1.8 KiB
Bash
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# chmod +x start.sh
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#-----------------------------------------
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#!/usr/bin/env bash
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set -e
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# 打印启动环境
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echo "[*] Starting app with APP_ENV=${APP_ENV}"
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# 日志路径（宿主机会挂载）
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LOG_DIR="/app/logs"
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mkdir -p "$LOG_DIR"
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# 动态生成日志文件名
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LOGFILE="${LOG_DIR}/lessie_sourcing_agents_$(date +'%Y%m%d_%H%M%S').log"
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LATEST_LOG="${LOG_DIR}/lessie_sourcing_agents_latest.log"
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# 启动命令
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echo "[*] Launching Gunicorn..."
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nohup env APP_ENV=${APP_ENV} \
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gunicorn -w 4 -k uvicorn.workers.UvicornWorker \
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-b 0.0.0.0:7001 --timeout 300 dialogue.app:app \
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--max-requests 500 --max-requests-jitter 50 \
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> "$LOGFILE" 2>&1 &
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# 建立软链方便查看最新日志
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ln -sf "$LOGFILE" "$LATEST_LOG"
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echo "[*] App started. Logs: $LATEST_LOG"
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# 前台挂起（防止容器退出）
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tail -F "$LOGFILE"
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#-----------------------------------------
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#!/bin/bash
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#脚本出错立即退出，防止容器假活
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set -e
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# 进入项目目录
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cd /app
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# 日志目录
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LOG_DIR="/app/logs"
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mkdir -p "$LOG_DIR"
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# 日志文件（同时软链一个 latest.log 方便定位）
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LOG_FILE="${LOG_DIR}/lessie_sourcing_agents_$(date +'%Y%m%d_%H%M%S').log"
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ln -sf "$LOG_FILE" "${LOG_DIR}/lessie_sourcing_agents_latest.log"
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# 环境变量（默认 prod，可通过 docker run -e APP_ENV=s1 覆盖）
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APP_ENV="${APP_ENV:-prod}"
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echo "[INFO] Starting app in environment: ${APP_ENV}"
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# Python 环境检查
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echo "[INFO] Python version:"
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python3 --version
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# 启动 Gunicorn
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# 输出到 stdout 的同时 tee 一份到日志文件
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echo "[INFO] Launching Gunicorn..."
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exec gunicorn -w ${cfg_gunicornWorkers:-4} \
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-k uvicorn.workers.UvicornWorker \
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-b 0.0.0.0:${cfg_port:-7001} \
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--timeout 300 \
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--max-requests 500 \
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--max-requests-jitter 50 \
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--access-logfile - \
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--error-logfile - \
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dialogue.app:app \
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2>&1 | tee -a "$LOG_FILE"
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