chore: 清理 scripts 目录,保留核心运维和部署脚本

## 变更内容

### 保留的核心运维脚本
-  start.sh - 启动服务
-  stop.sh - 停止服务
-  init-pgvector.sql - 数据库初始化

### 保留的部署工具
-  deploy-production.sh - 生产环境部署
-  backup-production.sh - 生产环境备份
-  set-contact-token.sh - 设置联系令牌
-  set-remote-contact-token.sh - 设置远程令牌
-  verify-contact-token.sh - 验证令牌

### 删除的临时调试脚本
-  debug-webhook.sh - 实时监控日志
-  check-conversations.sh - 检查会话
-  check-chatwoot-config.sh - 检查配置
-  verify-webhook.sh - 验证webhook
-  update-chatwoot-webhook.sh - 更新webhook

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
This commit is contained in:
wangliang
2026-01-27 13:59:12 +08:00
parent 0f13102a02
commit c8f26b6f9f
12 changed files with 473 additions and 406 deletions

95
scripts/backup-production.sh Executable file
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#!/bin/bash
# B2B Shopping AI Assistant - Production Backup Script
# 生产环境备份脚本
set -e
# 配置
BACKUP_DIR="./backups"
DATE=$(date +%Y%m%d_%H%M%S)
RETENTION_DAYS=7
# 颜色输出
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m'
log_info() {
echo -e "${GREEN}[INFO]${NC} $1"
}
log_warn() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
# 创建备份目录
mkdir -p "$BACKUP_DIR"
log_info "========================================"
log_info "生产环境备份 - $DATE"
log_info "========================================"
echo ""
# 1. 备份 Redis 数据
log_info "1. 备份 Redis 数据..."
docker run --rm \
-v ai_redis_data_prod:/data \
-v "$(pwd)/$BACKUP_DIR":/backup \
alpine tar czf /backup/redis-$DATE.tar.gz -C /data .
log_info "✅ Redis 数据备份完成: redis-$DATE.tar.gz"
# 2. 备份 Agent 日志
log_info "2. 备份 Agent 日志..."
docker run --rm \
-v ai_agent_logs_prod:/data \
-v "$(pwd)/$BACKUP_DIR":/backup \
alpine tar czf /backup/agent-logs-$DATE.tar.gz -C /data .
log_info "✅ Agent 日志备份完成: agent-logs-$DATE.tar.gz"
# 3. 备份 Grafana 配置(如果存在)
if docker volume inspect ai_grafana_data &> /dev/null; then
log_info "3. 备份 Grafana 配置..."
docker run --rm \
-v ai_grafana_data:/data \
-v "$(pwd)/$BACKUP_DIR":/backup \
alpine tar czf /backup/grafana-$DATE.tar.gz -C /data .
log_info "✅ Grafana 配置备份完成: grafana-$DATE.tar.gz"
fi
# 4. 备份环境变量文件
log_info "4. 备份环境变量文件..."
cp .env.production "$BACKUP_DIR/env-$DATE.backup"
chmod 600 "$BACKUP_DIR/env-$DATE.backup"
log_info "✅ 环境变量备份完成: env-$DATE.backup"
# 5. 清理旧备份
log_info "5. 清理 $RETENTION_DAYS 天前的旧备份..."
find "$BACKUP_DIR" -name "*.tar.gz" -mtime +$RETENTION_DAYS -delete
find "$BACKUP_DIR" -name "env-*.backup" -mtime +$RETENTION_DAYS -delete
log_info "✅ 旧备份清理完成"
# 6. 生成备份清单
log_info "6. 生成备份清单..."
cat > "$BACKUP_DIR/manifest-$DATE.txt" << EOF
备份时间: $DATE
备份内容:
- Redis 数据: redis-$DATE.tar.gz
- Agent 日志: agent-logs-$DATE.tar.gz
- 环境变量: env-$DATE.backup
EOF
log_info "✅ 备份清单生成完成: manifest-$DATE.txt"
echo ""
log_info "========================================"
log_info "✅ 备份完成!"
log_info "========================================"
echo ""
log_info "备份文件位置: $BACKUP_DIR"
log_info ""
ls -lh "$BACKUP_DIR" | grep "$DATE"

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@@ -1,108 +0,0 @@
#!/bin/bash
# Chatwoot 配置诊断工具
echo "======================================"
echo "Chatwoot 配置诊断工具"
echo "======================================"
echo ""
# 检查是否提供了 API Token
if [ -z "$CHATWOOT_API_TOKEN" ]; then
echo "❌ 请先设置 CHATWOOT_API_TOKEN 环境变量"
echo ""
echo "获取方式:"
echo "1. 访问 http://localhost:3000"
echo "2. 登录后进入 Settings → Profile → Access Tokens"
echo "3. 创建一个新的 Access Token"
echo ""
echo "然后运行:"
echo " CHATWOOT_API_TOKEN=your_token $0"
echo ""
exit 1
fi
CHATWOOT_BASE_URL="http://localhost:3000"
ACCOUNT_ID="2"
echo "🔍 正在检查 Chatwoot 配置..."
echo ""
# 1. 检查服务是否运行
echo "1⃣ 检查 Chatwoot 服务状态..."
if curl -s "$CHATWOOT_BASE_URL" > /dev/null; then
echo " ✅ Chatwoot 服务正常运行"
else
echo " ❌ Chatwoot 服务无法访问"
exit 1
fi
echo ""
# 2. 获取所有收件箱
echo "2⃣ 获取所有收件箱..."
INBOXES=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/inboxes")
echo "$INBOXES" | grep -o '"id":[0-9]*' | wc -l | xargs echo " 找到收件箱数量:"
echo ""
# 3. 解析并显示每个收件箱的详细信息
echo "3⃣ 收件箱详细信息:"
echo "======================================"
# 提取所有收件箱的 ID
INBOX_IDS=$(echo "$INBOXES" | grep -o '"id":[0-9]*' | grep -o '[0-9]*' | sort -u)
for INBOX_ID in $INBOX_IDS; do
echo ""
echo "📬 收件箱 ID: $INBOX_ID"
echo "--------------------------------------"
# 获取收件箱详情
INBOX_DETAIL=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/inboxes/$INBOX_ID")
# 提取收件箱名称
NAME=$(echo "$INBOX_DETAIL" | grep -o '"name":"[^"]*"' | head -1 | cut -d'"' -f4)
echo " 名称: $NAME"
# 提取收件箱类型
TYPE=$(echo "$INBOX_DETAIL" | grep -o '"inbox_type":"[^"]*"' | head -1 | cut -d'"' -f4)
echo " 类型: $TYPE"
# 提取 Website Token如果有
WEBSITE_TOKEN=$(echo "$INBOX_DETAIL" | grep -o '"website_token":"[^"]*"' | head -1 | cut -d'"' -f4)
if [ -n "$WEBSITE_TOKEN" ]; then
echo " Website Token: $WEBSITE_TOKEN"
fi
# 提取 Webhook URL
WEBHOOK_URL=$(echo "$INBOX_DETAIL" | grep -o '"webhook_url":"[^"]*"' | head -1 | cut -d'"' -f4)
if [ -n "$WEBHOOK_URL" ]; then
echo " Webhook URL: $WEBHOOK_URL"
else
echo " Webhook URL: ❌ 未配置"
fi
# 检查是否是测试页面使用的 token
if [ "$WEBSITE_TOKEN" = "39PNCMvbMk3NvB7uaDNucc6o" ]; then
echo ""
echo " ⭐ 这是测试页面使用的收件箱!"
echo " Webhook 应该配置为: http://agent:8000/webhooks/chatwoot"
fi
done
echo ""
echo "======================================"
echo ""
echo "📋 下一步操作:"
echo ""
echo "1. 找到 Website Token 为 '39PNCMvbMk3NvB7uaDNucc6o' 的收件箱"
echo "2. 记录该收件箱的 ID"
echo "3. 确保该收件箱的 Webhook URL 配置为:"
echo " http://agent:8000/webhooks/chatwoot"
echo ""
echo "💡 提示:可以通过 Chatwoot 界面更新配置:"
echo " Settings → Inboxes → 选择收件箱 → Configuration → Webhook URL"
echo ""

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#!/bin/bash
# 检查 Chatwoot 会话和消息
echo "======================================"
echo "Chatwoot 会话检查工具"
echo "======================================"
echo ""
# 需要设置环境变量
if [ -z "$CHATWOOT_API_TOKEN" ]; then
echo "❌ 请先设置 CHATWOOT_API_TOKEN 环境变量"
echo ""
echo "获取方式:"
echo "1. 访问 http://localhost:3000"
echo "2. 登录后进入 Settings → Profile → Access Tokens"
echo "3. 创建一个新的 Access Token"
echo ""
echo "然后运行:"
echo " CHATWOOT_API_TOKEN=your_token $0"
echo ""
exit 1
fi
CHATWOOT_BASE_URL="http://localhost:3000"
ACCOUNT_ID="2"
echo "🔍 正在检查 Chatwoot 会话..."
echo ""
# 1. 获取所有收件箱
echo "1⃣ 获取所有收件箱..."
INBOXES=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/inboxes")
INBOX_IDS=$(echo "$INBOXES" | grep -o '"id":[0-9]*' | grep -o '[0-9]*' | sort -u | head -5)
echo " 找到收件箱: $(echo "$INBOX_IDS" | wc -l)"
echo ""
# 2. 检查每个收件箱的会话
echo "2⃣ 检查最近的会话..."
echo "======================================"
for INBOX_ID in $INBOX_IDS; do
echo ""
echo "📬 收件箱 ID: $INBOX_ID"
echo "--------------------------------------"
# 获取收件箱名称
INBOX_NAME=$(echo "$INBOXES" | grep -o "\"id\":$INBOX_ID" -A 20 | grep '"name":"' | head -1 | cut -d'"' -f4)
echo " 名称: $INBOX_NAME"
# 获取最近5个会话
CONVERSATIONS=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/conversations?inbox_id=$INBOX_ID&sort=-created_at" | head -100)
CONV_IDS=$(echo "$CONVERSATIONS" | grep -o '"id":[0-9]*' | grep -o '[0-9]*' | head -5)
if [ -z "$CONV_IDS" ]; then
echo " 没有会话"
continue
fi
echo " 最近的会话:"
echo "$CONV_IDS" | while read CONV_ID; do
# 获取会话详情
CONV_DETAIL=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/conversations/$CONV_ID")
# 提取会话信息
STATUS=$(echo "$CONV_DETAIL" | grep -o '"status":"[^"]*"' | head -1 | cut -d'"' -f4)
CREATED_AT=$(echo "$CONV_DETAIL" | grep -o '"created_at":[^,}]*' | head -1 | cut -d'"' -f2)
# 获取消息数量
MESSAGES=$(curl -s \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/conversations/$CONV_ID/messages")
MSG_COUNT=$(echo "$MESSAGES" | grep -o '"content":' | wc -l)
echo " • 会话 #$CONV_ID - 状态: $Status - 消息数: $MSG_COUNT"
# 获取最后几条消息
echo "$MESSAGES" | grep -o '"content":"[^"]*"' | tail -3 | while read MSG; do
CONTENT=$(echo "$MSG" | cut -d'"' -f4 | sed 's/&quot;/"/g' | head -c 50)
echo " - $CONTENT..."
done
done
done
echo ""
echo "======================================"
echo ""
echo "💡 提示:"
echo "1. 查看上面的会话列表"
echo "2. 记录你正在测试的会话 ID"
echo "3. 在 Agent 日志中查找相同的 conversation_id"
echo "4. 如果会话 ID 不匹配,说明 Widget 连接到了错误的会话"
echo ""

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#!/bin/bash
# 实时监控 Chatwoot 和 Agent 日志
echo "======================================"
echo "Chatwoot 消息流程实时监控"
echo "======================================"
echo ""
echo "📋 使用说明:"
echo "1. 在测试页面 http://localhost:8080/test-chat.html 发送消息"
echo "2. 观察下面的日志输出"
echo "3. 按 Ctrl+C 停止监控"
echo ""
echo "======================================"
echo ""
# 检查 Docker 容器是否运行
if ! docker ps | grep -q "ai_agent"; then
echo "❌ Agent 容器未运行"
exit 1
fi
if ! docker ps | grep -q "ai_chatwoot"; then
echo "❌ Chatwoot 容器未运行"
exit 1
fi
echo "✅ 所有容器运行正常"
echo ""
echo "🔍 开始监控日志..."
echo "======================================"
echo ""
# 使用多 tail 监控多个容器
docker logs ai_agent -f 2>&1 &
AGENT_PID=$!
docker logs ai_chatwoot -f 2>&1 &
CHATWOOT_PID=$!
# 清理函数
cleanup() {
echo ""
echo "======================================"
echo "停止监控..."
kill $AGENT_PID $CHATWOOT_PID 2>/dev/null
exit 0
}
# 捕获 Ctrl+C
trap cleanup INT TERM
# 等待
wait

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scripts/deploy-production.sh Executable file
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#!/bin/bash
# B2B Shopping AI Assistant - Production Deployment Script
# 生产环境部署脚本
set -e # 遇到错误立即退出
# 颜色输出
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
NC='\033[0m' # No Color
# 日志函数
log_info() {
echo -e "${GREEN}[INFO]${NC} $1"
}
log_warn() {
echo -e "${YELLOW}[WARN]${NC} $1"
}
log_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# 检查必要的命令
check_requirements() {
log_info "检查系统依赖..."
if ! command -v docker &> /dev/null; then
log_error "Docker 未安装,请先安装 Docker"
exit 1
fi
if ! command -v docker-compose &> /dev/null; then
log_error "Docker Compose 未安装,请先安装 Docker Compose"
exit 1
fi
log_info "系统依赖检查完成"
}
# 检查环境变量文件
check_env_file() {
log_info "检查环境变量文件..."
if [ ! -f .env.production ]; then
log_error ".env.production 文件不存在"
log_info "请复制 .env.production.example 并填写真实值:"
log_info " cp .env.production.example .env.production"
log_info " vim .env.production"
exit 1
fi
# 检查必要的环境变量
source .env.production
required_vars=(
"ZHIPU_API_KEY"
"CHATWOOT_API_TOKEN"
"HYPERF_API_URL"
"MALL_API_URL"
"REDIS_PASSWORD"
)
missing_vars=()
for var in "${required_vars[@]}"; do
if [ -z "${!var}" ] || [[ "${!var}" == *"your_"*"_here" ]]; then
missing_vars+=("$var")
fi
done
if [ ${#missing_vars[@]} -ne 0 ]; then
log_error "以下环境变量未设置或使用默认值:"
for var in "${missing_vars[@]}"; do
log_error " - $var"
exit 1
fi
fi
log_info "环境变量检查完成"
}
# 构建镜像
build_images() {
log_info "开始构建 Docker 镜像..."
docker-compose -f docker-compose.prod.yml build --no-cache
log_info "Docker 镜像构建完成"
}
# 停止现有服务
stop_services() {
log_info "停止现有服务..."
docker-compose -f docker-compose.prod.yml down
log_info "现有服务已停止"
}
# 启动服务
start_services() {
log_info "启动生产环境服务..."
docker-compose -f docker-compose.prod.yml up -d
log_info "服务启动完成"
}
# 健康检查
health_check() {
log_info "等待服务启动..."
sleep 10
# 检查 Agent 服务
if curl -f http://localhost:8000/health &> /dev/null; then
log_info "✅ Agent 服务健康检查通过"
else
log_error "❌ Agent 服务健康检查失败"
return 1
fi
# 检查 MCP 服务
mcp_ports=(8001 8002 8003 8004)
for port in "${mcp_ports[@]}"; do
if curl -f http://localhost:$port/health &> /dev/null; then
log_info "✅ MCP 服务 (端口 $port) 健康检查通过"
else
log_warn "⚠️ MCP 服务 (端口 $port) 健康检查失败"
fi
done
}
# 查看服务状态
show_status() {
log_info "服务状态:"
docker-compose -f docker-compose.prod.yml ps
}
# 查看日志
show_logs() {
log_info "最近的日志:"
docker-compose -f docker-compose.prod.yml logs --tail=50
}
# 主函数
main() {
log_info "========================================"
log_info "B2B Shopping AI Assistant - 生产环境部署"
log_info "========================================"
echo ""
# 检查参数
if [ "$1" == "--skip-build" ]; then
log_warn "跳过镜像构建步骤"
else
check_requirements
check_env_file
build_images
fi
stop_services
start_services
log_info "等待服务就绪..."
sleep 15
if health_check; then
log_info "========================================"
log_info "✅ 部署成功!"
log_info "========================================"
echo ""
log_info "服务地址:"
log_info " - Agent: http://localhost:8000"
log_info " - Strapi MCP: http://localhost:8001"
log_info " - Order MCP: http://localhost:8002"
log_info " - After MCP: http://localhost:8003"
log_info " - Product MCP: http://localhost:8004"
echo ""
log_info "查看日志:"
log_info " docker-compose -f docker-compose.prod.yml logs -f"
echo ""
log_info "查看状态:"
log_info " docker-compose -f docker-compose.prod.yml ps"
else
log_error "部署失败,请检查日志"
show_logs
exit 1
fi
}
# 执行主函数
main "$@"

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#!/bin/bash
# 为 Chatwoot Contact 设置 JWT Token
#
# 使用方法:
# ./set-contact-token.sh <contact_id> <jwt_token>
#
# 示例:
# ./set-contact-token.sh 4 "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9..."
CHATWOOT_BASE_URL="http://192.168.15.34:3000"
ACCOUNT_ID="2"
# 从环境变量或参数获取 token
CONTACT_ID=${1:-"4"}
JWT_TOKEN=${2:-"your_jwt_token_here"}
MALL_TOKEN=${3:-"$JWT_TOKEN"} # 默认使用相同的 token
# Chatwoot API Token需要在管理界面创建
CHATWOOT_API_TOKEN="fnWaEeAyC1gw1FYQq6YJMWSj"
echo "📝 为 Contact #$CONTACT_ID 设置 token..."
echo "JWT Token: ${JWT_TOKEN:0:30}..."
echo "Mall Token: ${MALL_TOKEN:0:30}..."
# 更新 contact 的 custom_attributes
curl -X PUT "$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/contacts/$CONTACT_ID" \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
-H "Content-Type: application/json" \
-d "{
\"custom_attributes\": {
\"jwt_token\": \"$JWT_TOKEN\",
\"mall_token\": \"$MALL_TOKEN\"
}
}" | python3 -m json.tool
echo ""
echo "✅ Token 设置完成!"
echo ""
echo "验证:"
echo " curl -H \"Authorization: Bearer $CHATWOOT_API_TOKEN\" \\"
echo " $CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/contacts/$CONTACT_ID"

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#!/bin/bash
# 为远程 Chatwoot 的 Contact 设置 JWT Token
CHATWOOT_BASE_URL="http://192.168.15.28:3000"
ACCOUNT_ID="2"
CONTACT_ID=${1:-"4"} # Contact ID (从日志中看到是 4)
# 从参数或使用测试 token
JWT_TOKEN=${2:-"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiIxMjM0NTY3ODkwIiwibmFtZSI6IkpvaG4gRG9lIiwiaWF0IjoxNTE2MjM5MDIyfQ.SflKxwRJSMeKKF2QT4fwpMeJf36POk6yJV_adQssw5c"}
echo "📝 为 Contact #$CONTACT_ID 设置 token..."
echo "JWT Token: ${JWT_TOKEN:0:30}..."
echo ""
# 更新 contact 的 custom_attributes
curl -X PUT "$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/contacts/$CONTACT_ID" \
-H "Authorization: Bearer wFc2Dpi3wcf9eT5Cibckd68z" \
-H "Content-Type: application/json" \
-d "{
\"custom_attributes\": {
\"jwt_token\": \"$JWT_TOKEN\",
\"mall_token\": \"$JWT_TOKEN\"
}
}" | python3 -m json.tool
echo ""
echo "✅ Token 设置完成!"
echo ""
echo "验证:"
echo " curl -H \"Authorization: Bearer wFc2Dpi3wcf9eT5Cibckd68z\" \\"
echo " $CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/contacts/$CONTACT_ID"

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scripts/start.sh Executable file
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#!/bin/bash
# 启动脚本 - B2B AI Assistant
set -e
echo "========================================"
echo "🚀 启动 B2B AI Assistant 服务"
echo "========================================"
echo ""
# 检查 Docker 是否运行
if ! docker info > /dev/null 2>&1; then
echo "❌ Docker 未运行,请先启动 Docker"
exit 1
fi
echo "✅ Docker 运行正常"
echo ""
# 检查远程 Chatwoot 连接
echo "🔍 检查远程 Chatwoot 连接..."
CHATWOOT_URL="http://192.168.15.28:3000"
if curl -s --connect-timeout 5 "$CHATWOOT_URL" > /dev/null 2>&1; then
echo "✅ 远程 Chatwoot 连接正常 ($CHATWOOT_URL)"
else
echo "⚠️ 警告:无法连接到远程 Chatwoot ($CHATWOOT_URL)"
echo " 请确保 Chatwoot 正在运行"
read -p "是否继续启动?(y/n) " -n 1 -r
echo
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
exit 1
fi
fi
echo ""
# 获取本机 IP
LOCAL_IP=$(hostname -I | awk '{print $1}')
echo "📡 本机 IP: $LOCAL_IP"
echo " Webhook URL: http://$LOCAL_IP:8000/webhooks/chatwoot"
echo ""
# 启动服务
echo "🐳 启动 Docker 服务..."
docker-compose up -d
echo ""
echo "⏳ 等待服务启动..."
sleep 5
# 检查服务状态
echo ""
echo "📊 服务状态:"
docker-compose ps
echo ""
echo "========================================"
echo "✅ 服务启动完成!"
echo "========================================"
echo ""
echo "📝 常用命令:"
echo " 查看日志: docker-compose logs -f agent"
echo " 查看状态: docker-compose ps"
echo " 停止服务: docker-compose down"
echo " 重启服务: docker-compose restart [service_name]"
echo ""
echo "📖 测试页面:"
echo " http://localhost:8080/docs/test-chat.html"
echo " http://localhost:8080/docs/test-conversation-id.html"
echo ""
echo "⚠️ 重要:"
echo " 请确保远程 Chatwoot (192.168.15.28:3000) 已配置 Webhook:"
echo " http://$LOCAL_IP:8000/webhooks/chatwoot"
echo ""

21
scripts/stop.sh Executable file
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#!/bin/bash
# 停止脚本 - B2B AI Assistant
set -e
echo "========================================"
echo "🛑 停止 B2B AI Assistant 服务"
echo "========================================"
echo ""
# 停止服务
echo "🐳 停止 Docker 服务..."
docker-compose down
echo ""
echo "✅ 所有服务已停止"
echo ""
echo "💡 提示:"
echo " 如需删除数据卷,运行: docker-compose down -v"
echo " 如需重新启动,运行: ./scripts/start.sh"
echo ""

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@@ -1,62 +0,0 @@
#!/bin/bash
# 更新 Chatwoot Webhook 配置脚本
# 配置
CHATWOOT_BASE_URL="http://localhost:3000"
ACCOUNT_ID="2" # 你的账户 ID
INBOX_ID="" # 需要填入你的收件箱 ID
API_TOKEN="" # 需要填入你的 Chatwoot API Token
NEW_WEBHOOK_URL="http://agent:8000/webhooks/chatwoot"
WEBHOOK_SECRET="b7a12b9c9173718596f02fd912fb59f97891a0e7abb1a5e457b4c8858b2d21b5"
# 使用说明
echo "======================================"
echo "Chatwoot Webhook 配置更新工具"
echo "======================================"
echo ""
echo "请先设置以下变量:"
echo "1. INBOX_ID - 你的收件箱 ID"
echo "2. API_TOKEN - Chatwoot API Token从 Settings → Profile → Access Tokens 获取)"
echo ""
echo "然后运行:"
echo " INBOX_ID=<收件箱ID> API_TOKEN=<API Token> $0"
echo ""
echo "或者直接编辑此脚本设置变量。"
echo ""
# 检查参数
if [ -z "$INBOX_ID" ] || [ -z "$API_TOKEN" ]; then
echo "❌ 缺少必要参数"
exit 1
fi
# 获取当前 webhook 配置
echo "📋 获取当前 webhook 配置..."
CURRENT_CONFIG=$(curl -s \
-H "Authorization: Bearer $API_TOKEN" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/inboxes/$INBOX_ID")
echo "当前配置:"
echo "$CURRENT_CONFIG" | grep -o '"webhook_url":"[^"]*"' || echo "未找到 webhook_url"
# 更新 webhook
echo ""
echo "🔄 更新 webhook URL 为: $NEW_WEBHOOK_URL"
UPDATE_RESPONSE=$(curl -s -X PUT \
-H "Authorization: Bearer $API_TOKEN" \
-H "Content-Type: application/json" \
-d "{
\"inbox\": {
\"webhook_url\": \"$NEW_WEBHOOK_URL\"
}
}" \
"$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/inboxes/$INBOX_ID")
echo "更新响应:"
echo "$UPDATE_RESPONSE"
echo ""
echo "✅ 配置更新完成!"
echo ""
echo "现在可以在 Chatwoot 中测试发送消息了。"

17
scripts/verify-contact-token.sh Executable file
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#!/bin/bash
# 验证 Contact 的 token 设置
CHATWOOT_BASE_URL="http://192.168.15.34:3000"
ACCOUNT_ID="2"
CONTACT_ID=${1:-"4"}
CHATWOOT_API_TOKEN="fnWaEeAyC1gw1FYQq6YJMWSj"
echo "🔍 查询 Contact #$CONTACT_ID 的信息..."
echo ""
curl -s "$CHATWOOT_BASE_URL/api/v1/accounts/$ACCOUNT_ID/contacts/$CONTACT_ID" \
-H "Authorization: Bearer $CHATWOOT_API_TOKEN" \
-H "Content-Type: application/json" | python3 -m json.tool | grep -A 20 "custom_attributes"
echo ""
echo "✅ 查询完成!"

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@@ -1,81 +0,0 @@
#!/bin/bash
# 验证 Chatwoot Webhook 配置
echo "======================================"
echo "Chatwoot Webhook 配置验证工具"
echo "======================================"
echo ""
# 检查 Agent 服务
echo "1⃣ 检查 Agent 服务..."
if curl -s http://localhost:8000/health | grep -q "healthy"; then
echo " ✅ Agent 服务运行正常 (http://localhost:8000)"
else
echo " ❌ Agent 服务未运行"
exit 1
fi
echo ""
# 检查 Chatwoot 服务
echo "2⃣ 检查 Chatwoot 服务..."
if curl -s http://localhost:3000 > /dev/null; then
echo " ✅ Chatwoot 服务运行正常 (http://localhost:3000)"
else
echo " ❌ Chatwoot 服务未运行"
exit 1
fi
echo ""
# 检查网络连通性(从 Chatwoot 容器访问 Agent
echo "3⃣ 检查容器间网络连通性..."
if docker exec ai_chatwoot wget -q -O - http://agent:8000/health | grep -q "healthy"; then
echo " ✅ Chatwoot 可以访问 Agent (http://agent:8000)"
else
echo " ❌ Chatwoot 无法访问 Agent"
echo " 请检查两个容器是否在同一 Docker 网络中"
exit 1
fi
echo ""
# 检查环境变量配置
echo "4⃣ 检查环境变量配置..."
if [ -f .env ]; then
if grep -q "CHATWOOT_WEBHOOK_SECRET" .env; then
echo " ✅ CHATWOOT_WEBHOOK_SECRET 已配置"
else
echo " ⚠️ CHATWOOT_WEBHOOK_SECRET 未配置(可选)"
fi
else
echo " ⚠️ .env 文件不存在"
fi
echo ""
# 显示配置摘要
echo "======================================"
echo "📋 配置摘要"
echo "======================================"
echo ""
echo "Agent 服务:"
echo " • 容器名称: ai_agent"
echo " • 内部地址: http://agent:8000"
echo " • Webhook 端点: http://agent:8000/webhooks/chatwoot"
echo " • 外部访问: http://localhost:8000"
echo ""
echo "Chatwoot 服务:"
echo " • 容器名称: ai_chatwoot"
echo " • 内部地址: http://chatwoot:3000"
echo " • 外部访问: http://localhost:3000"
echo ""
echo "📝 在 Chatwoot 界面中配置:"
echo " 1. 访问: http://localhost:3000"
echo " 2. 进入: Settings → Inboxes → 选择 Website 收件箱"
echo " 3. 点击: Configuration 标签"
echo " 4. 设置 Webhook URL 为: http://agent:8000/webhooks/chatwoot"
echo " 5. 点击 Save 保存"
echo ""
echo "⚠️ 注意事项:"
echo " • 不要在 Chatwoot 中启用内置机器人Bot"
echo " • 只配置 Webhook 即可"
echo " • Webhook URL 使用 'agent' 而不是 'localhost'"
echo ""
echo "======================================"