添加一个统一的脚本管理服务
This commit is contained in:
Executable
+269
@@ -0,0 +1,269 @@
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#!/usr/bin/env bash
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# 统一管理脚本：启动/停止/查看 四个 API 服务
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# 支持服务：
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# - intent -> rag2_0.api.intent_recognition_api:app (port 8001, workers 25)
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# - dify -> rag2_0.api.DifyQueryRetrieval_api:app (port 8002, workers 25)
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# - answertype -> rag2_0.api.AnswerType_api:app (port 8003, workers 1)
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# - qingdan -> rag2_0.api.query_dinge_qingdan_api:app (port 8005, workers 1)
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
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# 定义服务配置：会话名 与 启动命令
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SERVICE_NAMES=(intent dify answertype qingdan)
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service_port() {
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case "$1" in
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intent) echo "8001" ;;
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dify) echo "8002" ;;
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answertype) echo "8003" ;;
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qingdan) echo "8005" ;;
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*) echo "" ;;
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esac
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}
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session_name() {
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case "$1" in
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intent) echo "intent_recognition_api" ;;
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dify) echo "DifyQueryRetrieval_api" ;;
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answertype) echo "AnswerType" ;;
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qingdan) echo "query_dinge_qingdan_api" ;;
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*) echo "" ;;
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esac
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}
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start_command() {
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case "$1" in
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intent)
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echo "cd \"$SCRIPT_DIR\" && uv run uvicorn rag2_0.api.intent_recognition_api:app --host 0.0.0.0 --port 8001 --workers 25" ;;
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dify)
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echo "cd \"$SCRIPT_DIR\" && uv run uvicorn rag2_0.api.DifyQueryRetrieval_api:app --host 0.0.0.0 --port 8002 --workers 25" ;;
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answertype)
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echo "cd \"$SCRIPT_DIR\" && uv run uvicorn rag2_0.api.AnswerType_api:app --host 0.0.0.0 --port 8003 --workers 1" ;;
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qingdan)
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echo "cd \"$SCRIPT_DIR\" && uv run uvicorn rag2_0.api.query_dinge_qingdan_api:app --host 0.0.0.0 --port 8005 --workers 4" ;;
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*) echo "" ;;
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esac
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}
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exists_session() {
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# 使用严格匹配，避免误判
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local name="$1"
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if screen -ls 2>/dev/null | grep -q "\\.${name}\\s"; then
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return 0
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fi
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return 1
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}
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# 按端口获取监听该端口的任意一个PID，优先用 ss，其次 lsof
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pids_on_port() {
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local port="$1"
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# 从 ss 提取 pid 列表
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local ss_pids
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ss_pids=$(ss -lptn 2>/dev/null \
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| grep -E ":${port}\\b" \
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| awk '{print $NF}' \
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| sed -n 's/.*pid=\([0-9]\+\),.*/\1/p' \
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| sort -u)
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if [[ -n "$ss_pids" ]]; then
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echo "$ss_pids"
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return 0
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fi
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# 从 lsof 提取 pid 列表
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if command -v lsof >/dev/null 2>&1; then
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local lsof_pids
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lsof_pids=$(lsof -nP -i :"$port" -sTCP:LISTEN -t 2>/dev/null | sort -u)
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if [[ -n "$lsof_pids" ]]; then
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echo "$lsof_pids"
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return 0
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fi
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fi
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return 1
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}
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# 根据端口优雅终止(TERM)并在必要时强制(KILL)清理进程
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kill_by_port() {
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local port="$1"
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local pids
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pids=$(pids_on_port "$port" || true)
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if [[ -z "$pids" ]]; then
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return 0
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fi
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echo "[清理] 端口 $port 仍被占用，发送 SIGTERM 到: $pids"
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kill -TERM $pids 2>/dev/null || true
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sleep 2
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# 再次检查
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local left
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left=$(pids_on_port "$port" || true)
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if [[ -n "$left" ]]; then
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echo "[强制] 端口 $port 仍占用，发送 SIGKILL 到: $left"
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kill -KILL $left 2>/dev/null || true
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fi
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}
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start_service() {
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local svc="$1"
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local sname
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sname="$(session_name "$svc")"
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if [[ -z "$sname" ]]; then echo "未知服务: $svc"; return 2; fi
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if exists_session "$sname"; then
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echo "[跳过] 会话 '$sname' 已存在"
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return 0
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fi
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local cmd
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cmd="$(start_command "$svc")"
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if [[ -z "$cmd" ]]; then echo "未配置启动命令: $svc"; return 2; fi
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screen -dmS "$sname" bash -c "$cmd"
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echo "[启动] $svc -> screen 会话 '$sname'"
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}
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stop_service() {
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local svc="$1"
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local sname
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sname="$(session_name "$svc")"
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local port
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port="$(service_port "$svc")"
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if [[ -z "$sname" || -z "$port" ]]; then echo "未知服务: $svc"; return 2; fi
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# 1) 先尝试关闭 screen 会话
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if exists_session "$sname"; then
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screen -S "$sname" -X quit || true
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echo "[停止] $svc -> '$sname'"
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else
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echo "[提示] 未发现 screen 会话: $sname"
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fi
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# 2) 等待释放端口
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sleep 2
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# 3) 如果仍占用，按端口清理
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if ss -lptn 2>/dev/null | grep -E -q ":${port}\\b" || (command -v lsof >/dev/null 2>&1 && lsof -i :"$port" -sTCP:LISTEN >/dev/null 2>&1); then
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kill_by_port "$port"
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fi
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}
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status_service() {
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local svc="$1"
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local sname
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sname="$(session_name "$svc")"
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if [[ -z "$sname" ]]; then echo "未知服务: $svc"; return 2; fi
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if exists_session "$sname"; then
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echo "[运行中] $svc -> '$sname'"
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else
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echo "[未运行] $svc"
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fi
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}
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attach_service() {
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local svc="$1"
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local sname
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sname="$(session_name "$svc")"
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if [[ -z "$sname" ]]; then echo "未知服务: $svc"; return 2; fi
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if exists_session "$sname"; then
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echo "附着到会话: $sname (退出: Ctrl+A 然后 D)"
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screen -r "$sname"
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else
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echo "服务未运行: $svc"
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return 1
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fi
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}
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start_all() {
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for s in "${SERVICE_NAMES[@]}"; do
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start_service "$s"
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done
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}
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stop_all() {
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for s in "${SERVICE_NAMES[@]}"; do
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stop_service "$s"
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done
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}
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status_all() {
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for s in "${SERVICE_NAMES[@]}"; do
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status_service "$s"
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done
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}
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restart_service() {
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local svc="$1"
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stop_service "$svc"
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# 等待会话释放
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sleep 1
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start_service "$svc"
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}
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usage() {
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cat <<EOF
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用法: $0 <command> [service]
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command:
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start [svc] 启动指定服务；不指定时启动全部
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stop [svc] 停止指定服务；不指定时停止全部
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restart [svc] 重启指定服务；不指定时重启全部
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status 查看所有服务状态
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attach <svc> 附着到指定服务的 screen 会话
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force-stop [svc] 强制结束进程（按端口终止）；不指定时对全部执行
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service 可选值:
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intent | dify | answertype | qingdan
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EOF
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}
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main() {
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local cmd="${1:-}"; shift || true
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case "$cmd" in
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start)
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local svc="${1:-all}"
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if [[ "$svc" == "all" ]]; then start_all; else start_service "$svc"; fi
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;;
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stop)
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local svc="${1:-all}"
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if [[ "$svc" == "all" ]]; then stop_all; else stop_service "$svc"; fi
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;;
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restart)
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local svc="${1:-all}"
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if [[ "$svc" == "all" ]]; then
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for s in "${SERVICE_NAMES[@]}"; do restart_service "$s"; done
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else
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restart_service "$svc"
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fi
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;;
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status)
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status_all
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;;
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attach)
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local svc="${1:-}"
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if [[ -z "$svc" ]]; then echo "请指定服务"; usage; exit 2; fi
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attach_service "$svc"
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;;
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force-stop)
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local svc="${1:-all}"
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if [[ "$svc" == "all" ]]; then
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for s in "${SERVICE_NAMES[@]}"; do
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# 仅按端口强制清理
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p="$(service_port "$s")"
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if [[ -n "$p" ]]; then kill_by_port "$p"; fi
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done
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else
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local p
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p="$(service_port "$svc")"
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if [[ -z "$p" ]]; then echo "未知服务: $svc"; exit 2; fi
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kill_by_port "$p"
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fi
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;;
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""|-h|--help|help)
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usage
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;;
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*)
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echo "未知命令: $cmd" >&2
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usage
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exit 2
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;;
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esac
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}
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main "$@"
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@@ -6,6 +6,7 @@ readme = "README.md"
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requires-python = ">=3.11"
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dependencies = [
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"bs4>=0.0.2",
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"aiosqlite>=0.20.0",
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"faiss-cpu>=1.11.0",
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"fastapi>=0.115.14",
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"flask>=3.1.1",
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+85
-115
@@ -8,8 +8,7 @@ from fastapi.middleware.cors import CORSMiddleware
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from pydantic import BaseModel, Field
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from typing import Dict, List, Any, Optional
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import asyncio
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import threading
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import queue
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import aiosqlite
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import sqlite3
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from contextlib import closing
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@@ -38,21 +37,15 @@ DATA_DIR = os.path.join(os.getcwd(), "data")
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DB_DIR = os.path.join(DATA_DIR, "db")
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DB_FILE = os.path.join(DB_DIR, "answer_logs.db")
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# 创建异步日志队列和工作线程
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log_queue = queue.Queue()
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worker_thread = None
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db_lock = threading.Lock() # 数据库操作锁
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# 创建异步日志队列和后台任务
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log_queue: asyncio.Queue = asyncio.Queue()
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worker_task: asyncio.Task | None = None
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# 初始化数据库
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def init_database():
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# 初始化数据库（异步）
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async def init_database():
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os.makedirs(DB_DIR, exist_ok=True)
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with db_lock:
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with closing(sqlite3.connect(DB_FILE)) as conn:
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cursor = conn.cursor()
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# 创建查询类型表
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cursor.execute('''
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async with aiosqlite.connect(DB_FILE) as conn:
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await conn.execute('''
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CREATE TABLE IF NOT EXISTS query_types (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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query_type TEXT NOT NULL,
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@@ -60,9 +53,7 @@ def init_database():
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timestamp TEXT NOT NULL
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)
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''')
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# 创建点踩原因表
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cursor.execute('''
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await conn.execute('''
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CREATE TABLE IF NOT EXISTS dislike_reasons (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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dislike_reason TEXT NOT NULL,
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@@ -70,57 +61,46 @@ def init_database():
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timestamp TEXT NOT NULL
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)
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''')
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conn.commit()
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await conn.commit()
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logger.info("数据库初始化完成")
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# 后台工作线程函数
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def log_worker():
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while True:
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# 后台异步工作协程
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async def log_worker():
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try:
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# 从队列获取数据，设置超时以允许线程退出
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data = log_queue.get(timeout=1.0)
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if data is None: # 接收到退出信号
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# 处理剩余数据后再退出
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while True:
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data = await log_queue.get()
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if data is None:
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# 排空剩余数据后退出
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while not log_queue.empty():
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data = log_queue.get_nowait()
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if data is None: # 跳过额外的停止信号
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pending = log_queue.get_nowait()
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if pending is None:
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continue
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process_log_data(data)
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await process_log_data(pending)
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break
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process_log_data(data)
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await process_log_data(data)
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log_queue.task_done()
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except queue.Empty:
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continue
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except asyncio.CancelledError:
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logger.info("日志工作任务被取消，尝试优雅退出...")
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except Exception as e:
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logger.error(f"保存查询数据时出错: {str(e)}", exc_info=True)
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# 提取数据处理逻辑到单独函数
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def process_log_data(data):
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# 提取数据处理逻辑到单独异步函数
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async def process_log_data(data):
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try:
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with db_lock:
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with closing(sqlite3.connect(DB_FILE)) as conn:
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cursor = conn.cursor()
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async with aiosqlite.connect(DB_FILE) as conn:
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if "dislike_reason" in data:
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# 保存点踩原因
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cursor.execute(
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await conn.execute(
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"INSERT INTO dislike_reasons (dislike_reason, workflow_run_id, timestamp) VALUES (?, ?, ?)",
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(data["dislike_reason"], data["workflow_run_id"], data["timestamp"])
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)
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table_name = "dislike_reasons"
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else:
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# 保存查询类型
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cursor.execute(
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await conn.execute(
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"INSERT INTO query_types (query_type, workflow_run_id, timestamp) VALUES (?, ?, ?)",
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(data["query_type"], data["workflow_run_id"], data["timestamp"])
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)
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table_name = "query_types"
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conn.commit()
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await conn.commit()
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logger.info(f"成功保存数据到表: {table_name}")
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except Exception as e:
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logger.error(f"处理日志数据时出错: {str(e)}", exc_info=True)
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@@ -184,28 +164,27 @@ app.add_middleware(
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# 应用启动事件
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@app.on_event("startup")
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async def startup_event():
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global worker_thread
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global worker_task
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# 初始化数据库
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init_database()
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# 启动后台工作线程
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worker_thread = threading.Thread(target=log_worker, daemon=True)
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worker_thread.start()
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logger.info("后台日志工作线程已启动")
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await init_database()
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# 启动后台异步任务
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worker_task = asyncio.create_task(log_worker())
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logger.info("后台日志工作任务已启动")
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# 应用关闭事件
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@app.on_event("shutdown")
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def shutdown_event():
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global worker_thread
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if worker_thread:
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# 发送退出信号
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log_queue.put(None)
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# 等待工作线程处理剩余数据
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worker_thread.join(timeout=10.0)
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if worker_thread.is_alive():
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logger.warning("工作线程未在超时时间内退出")
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else:
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logger.info("后台日志工作线程已停止")
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async def shutdown_event():
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global worker_task
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if worker_task:
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# 发送退出信号并等待任务结束
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await log_queue.put(None)
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await asyncio.sleep(0) # 让出执行权给worker处理退出
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try:
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await asyncio.wait_for(worker_task, timeout=10.0)
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logger.info("后台日志工作任务已停止")
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except asyncio.TimeoutError:
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worker_task.cancel()
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logger.warning("工作任务未在超时时间内退出，已取消")
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# 添加健康检查端点
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@app.get("/health", summary="健康检查")
|
||||
@@ -226,9 +205,9 @@ async def query_type(query_type: str, workflow_run_id:str):
|
||||
"workflow_run_id": workflow_run_id
|
||||
}
|
||||
|
||||
# 将数据放入队列
|
||||
# 将数据放入异步队列
|
||||
try:
|
||||
log_queue.put(query_data)
|
||||
await log_queue.put(query_data)
|
||||
success = True
|
||||
logger.info(f"查询数据已加入队列，当前队列大小: {log_queue.qsize()}")
|
||||
except Exception as e:
|
||||
@@ -256,9 +235,9 @@ async def dislike_reason(reason: str, workflow_run_id: str):
|
||||
"workflow_run_id": workflow_run_id
|
||||
}
|
||||
|
||||
# 将数据放入队列
|
||||
# 将数据放入异步队列
|
||||
try:
|
||||
log_queue.put(dislike_data)
|
||||
await log_queue.put(dislike_data)
|
||||
success = True
|
||||
logger.info(f"点踩原因数据已加入队列，当前队列大小: {log_queue.qsize()}")
|
||||
except Exception as e:
|
||||
@@ -276,35 +255,34 @@ async def dislike_reason(reason: str, workflow_run_id: str):
|
||||
@app.get("/stats", summary="查询统计数据")
|
||||
async def get_stats():
|
||||
try:
|
||||
with db_lock:
|
||||
with closing(sqlite3.connect(DB_FILE)) as conn:
|
||||
conn.row_factory = sqlite3.Row # 启用字典行工厂
|
||||
cursor = conn.cursor()
|
||||
|
||||
async with aiosqlite.connect(DB_FILE) as conn:
|
||||
conn.row_factory = sqlite3.Row
|
||||
# 查询类型统计
|
||||
cursor.execute("SELECT COUNT(*) as count FROM query_types")
|
||||
query_count = cursor.fetchone()['count']
|
||||
|
||||
cursor = await conn.execute("SELECT COUNT(*) as count FROM query_types")
|
||||
row = await cursor.fetchone()
|
||||
query_count = row['count'] if row else 0
|
||||
# 点踩原因统计
|
||||
cursor.execute("SELECT COUNT(*) as count FROM dislike_reasons")
|
||||
dislike_count = cursor.fetchone()['count']
|
||||
|
||||
cursor = await conn.execute("SELECT COUNT(*) as count FROM dislike_reasons")
|
||||
row = await cursor.fetchone()
|
||||
dislike_count = row['count'] if row else 0
|
||||
# 最近5条查询记录
|
||||
cursor.execute("""
|
||||
cursor = await conn.execute(
|
||||
"""
|
||||
SELECT query_type, workflow_run_id, timestamp
|
||||
FROM query_types
|
||||
ORDER BY id DESC LIMIT 5
|
||||
""")
|
||||
recent_queries = [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
"""
|
||||
)
|
||||
recent_queries = [dict(r) for r in await cursor.fetchall()]
|
||||
# 最近5条点踩记录
|
||||
cursor.execute("""
|
||||
cursor = await conn.execute(
|
||||
"""
|
||||
SELECT dislike_reason, workflow_run_id, timestamp
|
||||
FROM dislike_reasons
|
||||
ORDER BY id DESC LIMIT 5
|
||||
""")
|
||||
recent_dislikes = [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
"""
|
||||
)
|
||||
recent_dislikes = [dict(r) for r in await cursor.fetchall()]
|
||||
return {
|
||||
"statistics": {
|
||||
"total_queries": query_count,
|
||||
@@ -322,24 +300,20 @@ async def get_stats():
|
||||
@app.get("/query_by_workflow_id", summary="根据工作流ID获取查询类型数据")
|
||||
async def get_query_by_workflow_id(workflow_run_id: str):
|
||||
try:
|
||||
with db_lock:
|
||||
with closing(sqlite3.connect(DB_FILE)) as conn:
|
||||
conn.row_factory = sqlite3.Row # 启用字典行工厂
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 查询指定工作流ID的查询类型数据
|
||||
cursor.execute("""
|
||||
async with aiosqlite.connect(DB_FILE) as conn:
|
||||
conn.row_factory = sqlite3.Row
|
||||
cursor = await conn.execute(
|
||||
"""
|
||||
SELECT id, query_type, workflow_run_id, timestamp
|
||||
FROM query_types
|
||||
WHERE workflow_run_id = ?
|
||||
ORDER BY id DESC
|
||||
""", (workflow_run_id,))
|
||||
|
||||
results = [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
""",
|
||||
(workflow_run_id,)
|
||||
)
|
||||
results = [dict(r) for r in await cursor.fetchall()]
|
||||
if not results:
|
||||
return {"message": f"未找到工作流ID为 {workflow_run_id} 的查询类型数据", "data": []}
|
||||
|
||||
return {"data": results}
|
||||
except Exception as e:
|
||||
logger.error(f"根据工作流ID获取查询类型数据时出错: {str(e)}", exc_info=True)
|
||||
@@ -348,24 +322,20 @@ async def get_query_by_workflow_id(workflow_run_id: str):
|
||||
@app.get("/dislike_by_workflow_id", summary="根据工作流ID获取点踩原因数据")
|
||||
async def get_dislike_by_workflow_id(workflow_run_id: str):
|
||||
try:
|
||||
with db_lock:
|
||||
with closing(sqlite3.connect(DB_FILE)) as conn:
|
||||
conn.row_factory = sqlite3.Row # 启用字典行工厂
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 查询指定工作流ID的点踩原因数据
|
||||
cursor.execute("""
|
||||
async with aiosqlite.connect(DB_FILE) as conn:
|
||||
conn.row_factory = sqlite3.Row
|
||||
cursor = await conn.execute(
|
||||
"""
|
||||
SELECT id, dislike_reason, workflow_run_id, timestamp
|
||||
FROM dislike_reasons
|
||||
WHERE workflow_run_id = ?
|
||||
ORDER BY id DESC
|
||||
""", (workflow_run_id,))
|
||||
|
||||
results = [dict(row) for row in cursor.fetchall()]
|
||||
|
||||
""",
|
||||
(workflow_run_id,)
|
||||
)
|
||||
results = [dict(r) for r in await cursor.fetchall()]
|
||||
if not results:
|
||||
return {"message": f"未找到工作流ID为 {workflow_run_id} 的点踩原因数据", "data": []}
|
||||
|
||||
return {"data": results}
|
||||
except Exception as e:
|
||||
logger.error(f"根据工作流ID获取点踩原因数据时出错: {str(e)}", exc_info=True)
|
||||
@@ -374,6 +344,6 @@ async def get_dislike_by_workflow_id(workflow_run_id: str):
|
||||
if __name__ == "__main__":
|
||||
# 使用Uvicorn运行FastAPI应用
|
||||
import uvicorn
|
||||
uvicorn.run("rag2_0.dify.AnswerType:app", host="0.0.0.0", port=8003, reload=False, workers=1, log_level="info")
|
||||
uvicorn.run("rag2_0.api.AnswerType_api:app", host="0.0.0.0", port=8003, reload=False, workers=1, log_level="info")
|
||||
# 生产环境可以使用以下命令启动:
|
||||
# uvicorn rag2_0.dify.AnswerType:app --host 0.0.0.0 --port 8003 --workers 1
|
||||
# uvicorn rag2_0.api.AnswerType_api:app --host 0.0.0.0 --port 8003 --workers 1
|
||||
@@ -118,7 +118,7 @@ async def retrieve(request: RetrieveRequest):
|
||||
if __name__ == "__main__":
|
||||
# 使用Uvicorn运行FastAPI应用
|
||||
import uvicorn
|
||||
uvicorn.run("rag2_0.api.DifyQueryRetrieval_api:app", host="0.0.0.0", port=9002, reload=False, workers=1, log_level="info")
|
||||
uvicorn.run("rag2_0.api.DifyQueryRetrieval_api:app", host="0.0.0.0", port=8002, reload=False, workers=1, log_level="info")
|
||||
# # 使用uvicorn启动服务
|
||||
# import uvicorn
|
||||
# uvicorn.run(
|
||||
|
||||
@@ -175,7 +175,7 @@ if __name__ == "__main__":
|
||||
# 使用uvicorn启动服务
|
||||
import uvicorn
|
||||
uvicorn.run(
|
||||
"rag2_0.dify.intent_recognition_api:app",
|
||||
"rag2_0.api.intent_recognition_api:app",
|
||||
host="0.0.0.0",
|
||||
port=9001,
|
||||
reload=True, # 开发环境启用热重载
|
||||
|
||||
@@ -3,6 +3,8 @@ from fastapi import FastAPI, HTTPException, Query
|
||||
from pydantic import BaseModel
|
||||
from typing import List, Optional, Dict, Any
|
||||
import uvicorn
|
||||
import asyncio
|
||||
import aiosqlite
|
||||
import sqlite3
|
||||
import sys
|
||||
import os
|
||||
@@ -73,11 +75,13 @@ class QingDanDingEQueryService:
|
||||
db_file=self.db_path
|
||||
)
|
||||
|
||||
def get_similar_names_by_vector(self, query_text:str, vector_db:SQLiteVSS, field_map:dict, top_k:int=3, scope:str=None):
|
||||
"""使用向量检索获取相似名称"""
|
||||
async def get_similar_names_by_vector(self, query_text:str, vector_db:SQLiteVSS, field_map:dict, top_k:int=3, scope:str=None):
|
||||
"""使用向量检索获取相似名称（异步包装）"""
|
||||
try:
|
||||
# 使用向量数据库进行相似性搜索
|
||||
results = vector_db.similarity_search_with_score(query=query_text, k=30)
|
||||
# 使用线程池包装同步向量检索，避免阻塞事件循环
|
||||
results = await asyncio.to_thread(
|
||||
vector_db.similarity_search_with_score, query_text, 30
|
||||
)
|
||||
|
||||
# 提取结果中的元数据
|
||||
similar_items = []
|
||||
@@ -90,16 +94,16 @@ class QingDanDingEQueryService:
|
||||
metadata['similarity_score'] = float(score)
|
||||
similar_items.append(metadata)
|
||||
|
||||
# 按相似度分数排序,分数高的排前面
|
||||
# 分数越小越相似（SQLiteVSS 多为距离），已有代码按升序排序
|
||||
similar_items.sort(key=lambda x: x['similarity_score'])
|
||||
return similar_items[:top_k]
|
||||
except Exception as e:
|
||||
print(f"向量检索出错: {str(e)}")
|
||||
return []
|
||||
|
||||
def get_db_connection(self):
|
||||
"""获取数据库连接"""
|
||||
conn = sqlite3.connect(self.db_path)
|
||||
async def get_db_connection(self):
|
||||
"""获取数据库连接（aiosqlite 异步）"""
|
||||
conn = await aiosqlite.connect(self.db_path)
|
||||
conn.row_factory = sqlite3.Row # 设置行工厂，使结果可以通过列名访问
|
||||
return conn
|
||||
|
||||
@@ -138,12 +142,9 @@ class QingDanDingEQueryService:
|
||||
# 合并结果，完全匹配的排在前面
|
||||
return exact_matches + partial_matches
|
||||
|
||||
def query_ding_e_by_name(self, name, scope=None):
|
||||
async def query_ding_e_by_name(self, name, scope=None):
|
||||
"""根据定额名称查询定额子目表中详情信息，使用向量检索扩大查询范围"""
|
||||
try:
|
||||
conn = self.get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 获取表名和字段映射
|
||||
zimu_table = ExcelToSQLiteProcessor.ding_e_table_names["定额子目"]
|
||||
mulu_table = ExcelToSQLiteProcessor.ding_e_table_names["定额目录"]
|
||||
@@ -151,7 +152,7 @@ class QingDanDingEQueryService:
|
||||
field_map = ExcelToSQLiteProcessor.ding_e_field_map
|
||||
|
||||
# 1. 先使用向量检索获取相似名称
|
||||
similar_items = self.get_similar_names_by_vector(query_text=name,
|
||||
similar_items = await self.get_similar_names_by_vector(query_text=name,
|
||||
vector_db=self.ding_e_vector_db,
|
||||
field_map=field_map,
|
||||
scope=scope)
|
||||
@@ -190,18 +191,16 @@ class QingDanDingEQueryService:
|
||||
query += f" AND attr.{field_map['适用范围']} LIKE ?"
|
||||
params.append(f'%{scope}%')
|
||||
|
||||
cursor.execute(query, params)
|
||||
|
||||
async with await self.get_db_connection() as conn:
|
||||
cursor = await conn.execute(query, params)
|
||||
# 获取结果
|
||||
results = cursor.fetchall()
|
||||
results = await cursor.fetchall()
|
||||
data = [dict(row) for row in results]
|
||||
|
||||
# 对结果进行排序，将全字匹配的排在前面
|
||||
data = self.sort_results_by_exact_match(data, name, field_map['名称'])
|
||||
data = data[:self.top_k]
|
||||
|
||||
conn.close()
|
||||
|
||||
if not data:
|
||||
return {"success": True, "message": "未找到匹配的定额信息", "data": []}
|
||||
|
||||
@@ -219,12 +218,10 @@ class QingDanDingEQueryService:
|
||||
except Exception as e:
|
||||
return {"success": False, "message": f"查询出错: {str(e)}"}
|
||||
|
||||
def query_ding_e_by_code(self, code, scope=None):
|
||||
async def query_ding_e_by_code(self, code, scope=None):
|
||||
"""根据定额编码查询定额子目表中详情信息"""
|
||||
try:
|
||||
code = code.upper()
|
||||
conn = self.get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 获取表名和字段映射
|
||||
zimu_table = ExcelToSQLiteProcessor.ding_e_table_names["定额子目"]
|
||||
@@ -255,18 +252,16 @@ class QingDanDingEQueryService:
|
||||
query += f" AND attr.{field_map['适用范围']} LIKE ?"
|
||||
params.append(f'%{scope}%')
|
||||
|
||||
cursor.execute(query, params)
|
||||
|
||||
async with await self.get_db_connection() as conn:
|
||||
cursor = await conn.execute(query, params)
|
||||
# 获取结果
|
||||
results = cursor.fetchall()
|
||||
results = await cursor.fetchall()
|
||||
data = [dict(row) for row in results]
|
||||
|
||||
# 对结果进行排序，将全字匹配的排在前面
|
||||
data = self.sort_results_by_exact_match(data, code, field_map['编码'])
|
||||
data = data[:self.top_k]
|
||||
|
||||
conn.close()
|
||||
|
||||
if not data:
|
||||
return {"success": True, "message": "未找到匹配的定额信息", "data": []}
|
||||
|
||||
@@ -284,12 +279,9 @@ class QingDanDingEQueryService:
|
||||
except Exception as e:
|
||||
return {"success": False, "message": f"查询出错: {str(e)}"}
|
||||
|
||||
def query_qing_dan_by_name(self, name, scope=None):
|
||||
async def query_qing_dan_by_name(self, name, scope=None):
|
||||
"""根据清单名称查询清单子目表中详情信息，使用向量检索扩大查询范围"""
|
||||
try:
|
||||
conn = self.get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 获取表名和字段映射
|
||||
zimu_table = ExcelToSQLiteProcessor.qing_dan_table_names["清单子目"]
|
||||
mulu_table = ExcelToSQLiteProcessor.qing_dan_table_names["清单目录"]
|
||||
@@ -297,7 +289,7 @@ class QingDanDingEQueryService:
|
||||
field_map = ExcelToSQLiteProcessor.qing_dan_field_map
|
||||
|
||||
# 1. 先使用向量检索获取相似名称
|
||||
similar_items = self.get_similar_names_by_vector(query_text=name, vector_db=self.qing_dan_vector_db, field_map=field_map, scope=scope)
|
||||
similar_items = await self.get_similar_names_by_vector(query_text=name, vector_db=self.qing_dan_vector_db, field_map=field_map, scope=scope)
|
||||
similar_names = [item['mc'] for item in similar_items]
|
||||
|
||||
# 构建查询条件，始终包含原始名称的模糊匹配
|
||||
@@ -333,18 +325,16 @@ class QingDanDingEQueryService:
|
||||
query += f" AND attr.{field_map['适用范围']} LIKE ?"
|
||||
params.append(f'%{scope}%')
|
||||
|
||||
cursor.execute(query, params)
|
||||
|
||||
async with await self.get_db_connection() as conn:
|
||||
cursor = await conn.execute(query, params)
|
||||
# 获取结果
|
||||
results = cursor.fetchall()
|
||||
results = await cursor.fetchall()
|
||||
data = [dict(row) for row in results]
|
||||
|
||||
# 对结果进行排序，将全字匹配的排在前面
|
||||
data = self.sort_results_by_exact_match(data, name, field_map['名称'])
|
||||
data = data[:self.top_k]
|
||||
|
||||
conn.close()
|
||||
|
||||
if not data:
|
||||
return {"success": True, "message": "未找到匹配的清单信息", "data": []}
|
||||
|
||||
@@ -362,12 +352,10 @@ class QingDanDingEQueryService:
|
||||
except Exception as e:
|
||||
return {"success": False, "message": f"查询出错: {str(e)}"}
|
||||
|
||||
def query_qing_dan_by_code(self, code, scope=None):
|
||||
async def query_qing_dan_by_code(self, code, scope=None):
|
||||
"""根据清单编码查询清单子目表中详情信息"""
|
||||
try:
|
||||
code = code.upper()
|
||||
conn = self.get_db_connection()
|
||||
cursor = conn.cursor()
|
||||
|
||||
# 获取表名和字段映射
|
||||
zimu_table = ExcelToSQLiteProcessor.qing_dan_table_names["清单子目"]
|
||||
@@ -398,18 +386,16 @@ class QingDanDingEQueryService:
|
||||
query += f" AND attr.{field_map['适用范围']} LIKE ?"
|
||||
params.append(f'%{scope}%')
|
||||
|
||||
cursor.execute(query, params)
|
||||
|
||||
async with await self.get_db_connection() as conn:
|
||||
cursor = await conn.execute(query, params)
|
||||
# 获取结果
|
||||
results = cursor.fetchall()
|
||||
results = await cursor.fetchall()
|
||||
data = [dict(row) for row in results]
|
||||
|
||||
# 对结果进行排序，将全字匹配的排在前面
|
||||
data = self.sort_results_by_exact_match(data, code, field_map['编码'])
|
||||
data = data[:self.top_k]
|
||||
|
||||
conn.close()
|
||||
|
||||
if not data:
|
||||
return {"success": True, "message": "未找到匹配的清单信息", "data": []}
|
||||
|
||||
@@ -427,8 +413,8 @@ class QingDanDingEQueryService:
|
||||
except Exception as e:
|
||||
return {"success": False, "message": f"查询出错: {str(e)}"}
|
||||
|
||||
def batch_query(self, requests:BatchQueryRequest):
|
||||
"""批量查询接口，支持向量检索"""
|
||||
async def batch_query(self, requests:BatchQueryRequest):
|
||||
"""批量查询接口，支持向量检索（并发执行）"""
|
||||
dinge_results = []
|
||||
qingdan_results = []
|
||||
tracking_dict = {} # 用于跟踪已查询过的项目，避免重复
|
||||
@@ -439,42 +425,49 @@ class QingDanDingEQueryService:
|
||||
qingdan_info = requests.dinge_qingdan_info.qingdan_info
|
||||
scope = requests.scope
|
||||
|
||||
dinge_tasks = []
|
||||
qingdan_tasks = []
|
||||
|
||||
# 处理定额编码查询
|
||||
for code in dinge_info.dinge_code_list or []:
|
||||
key = f"dinge_code_{code}_{scope}"
|
||||
if key not in tracking_dict:
|
||||
result = self.query_ding_e_by_code(code, scope)
|
||||
if result["success"] and result["data"]:
|
||||
dinge_results.extend(result["data"])
|
||||
dinge_tasks.append(self.query_ding_e_by_code(code, scope))
|
||||
tracking_dict[key] = True
|
||||
|
||||
# 处理定额名称查询
|
||||
for name in dinge_info.dinge_name_list or []:
|
||||
key = f"dinge_name_{name}_{scope}"
|
||||
if key not in tracking_dict:
|
||||
result = self.query_ding_e_by_name(name, scope)
|
||||
if result["success"] and result["data"]:
|
||||
dinge_results.extend(result["data"])
|
||||
dinge_tasks.append(self.query_ding_e_by_name(name, scope))
|
||||
tracking_dict[key] = True
|
||||
|
||||
# 处理清单编码查询
|
||||
for code in qingdan_info.qingdan_code_list or []:
|
||||
key = f"qingdan_code_{code}_{scope}"
|
||||
if key not in tracking_dict:
|
||||
result = self.query_qing_dan_by_code(code, scope)
|
||||
if result["success"] and result["data"]:
|
||||
qingdan_results.extend(result["data"])
|
||||
qingdan_tasks.append(self.query_qing_dan_by_code(code, scope))
|
||||
tracking_dict[key] = True
|
||||
|
||||
# 处理清单名称查询
|
||||
for name in qingdan_info.qingdan_name_list or []:
|
||||
key = f"qingdan_name_{name}_{scope}"
|
||||
if key not in tracking_dict:
|
||||
result = self.query_qing_dan_by_name(name, scope)
|
||||
if result["success"] and result["data"]:
|
||||
qingdan_results.extend(result["data"])
|
||||
qingdan_tasks.append(self.query_qing_dan_by_name(name, scope))
|
||||
tracking_dict[key] = True
|
||||
|
||||
# 并发执行
|
||||
if dinge_tasks:
|
||||
dinge_outs = await asyncio.gather(*dinge_tasks)
|
||||
for result in dinge_outs:
|
||||
if result and result.get("success") and result.get("data"):
|
||||
dinge_results.extend(result["data"])
|
||||
if qingdan_tasks:
|
||||
qingdan_outs = await asyncio.gather(*qingdan_tasks)
|
||||
for result in qingdan_outs:
|
||||
if result and result.get("success") and result.get("data"):
|
||||
qingdan_results.extend(result["data"])
|
||||
|
||||
# 限制返回结果数量
|
||||
dinge_results = dinge_results[:self.top_k]
|
||||
qingdan_results = qingdan_results[:self.top_k]
|
||||
@@ -505,7 +498,7 @@ async def query_ding_e_by_name(
|
||||
name: str = Query(..., description="定额名称"),
|
||||
scope: Optional[str] = Query(None, description="适用范围")
|
||||
):
|
||||
result = query_service.query_ding_e_by_name(name, scope)
|
||||
result = await query_service.query_ding_e_by_name(name, scope)
|
||||
if not result["success"]:
|
||||
raise HTTPException(status_code=500, detail=result["message"])
|
||||
return QueryResponse(**result)
|
||||
@@ -516,7 +509,7 @@ async def query_ding_e_by_code(
|
||||
code: str = Query(..., description="定额编码"),
|
||||
scope: Optional[str] = Query(None, description="适用范围")
|
||||
):
|
||||
result = query_service.query_ding_e_by_code(code, scope)
|
||||
result = await query_service.query_ding_e_by_code(code, scope)
|
||||
if not result["success"]:
|
||||
raise HTTPException(status_code=500, detail=result["message"])
|
||||
return QueryResponse(**result)
|
||||
@@ -527,7 +520,7 @@ async def query_qing_dan_by_name(
|
||||
name: str = Query(..., description="清单名称"),
|
||||
scope: Optional[str] = Query(None, description="适用范围")
|
||||
):
|
||||
result = query_service.query_qing_dan_by_name(name, scope)
|
||||
result = await query_service.query_qing_dan_by_name(name, scope)
|
||||
if not result["success"]:
|
||||
raise HTTPException(status_code=500, detail=result["message"])
|
||||
return QueryResponse(**result)
|
||||
@@ -538,7 +531,7 @@ async def query_qing_dan_by_code(
|
||||
code: str = Query(..., description="清单编码"),
|
||||
scope: Optional[str] = Query(None, description="适用范围")
|
||||
):
|
||||
result = query_service.query_qing_dan_by_code(code, scope)
|
||||
result = await query_service.query_qing_dan_by_code(code, scope)
|
||||
if not result["success"]:
|
||||
raise HTTPException(status_code=500, detail=result["message"])
|
||||
return QueryResponse(**result)
|
||||
@@ -546,7 +539,7 @@ async def query_qing_dan_by_code(
|
||||
# 5. 批量查询定额和清单信息
|
||||
@app.post("/api/batch_query", response_model=BatchQueryResponse)
|
||||
async def batch_query(request: BatchQueryRequest):
|
||||
result = query_service.batch_query(request)
|
||||
result = await query_service.batch_query(request)
|
||||
if not result["success"]:
|
||||
raise HTTPException(status_code=500, detail=result["message"])
|
||||
return BatchQueryResponse(**result)
|
||||
@@ -564,4 +557,4 @@ def main():
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
# uvicorn rag2_0.dify.query_dinge_qingdan_api:app --host 0.0.0.0 --port 8005 --workers 10
|
||||
# uvicorn rag2_0.api.query_dinge_qingdan_api:app --host 0.0.0.0 --port 8005 --workers 10
|
||||
@@ -1,18 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# 获取当前脚本所在的绝对路径
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
|
||||
# 检查是否已经存在名为AnswerType的screen会话
|
||||
if screen -ls | grep -q "\.AnswerType\s"; then
|
||||
echo "Screen session 'AnswerType' already exists."
|
||||
else
|
||||
# 启动一个名为AnswerType的screen会话，并在其中执行后续命令
|
||||
screen -dmS AnswerType bash -c "
|
||||
cd \"$SCRIPT_DIR\"
|
||||
uv run uvicorn rag2_0.api.AnswerType_api:app --host 0.0.0.0 --port 8003 --workers 1
|
||||
"
|
||||
|
||||
# 输出提示信息
|
||||
echo "Started screen session 'AnswerType' and executed the command."
|
||||
fi
|
||||
@@ -1,18 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# 获取当前脚本所在的绝对路径
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
|
||||
# 检查是否已经存在名为DifyQueryRetrieval_api的screen会话
|
||||
if screen -ls | grep "DifyQueryRetrieval_api"; then
|
||||
echo "Screen session 'DifyQueryRetrieval_api' already exists."
|
||||
else
|
||||
# 启动一个名为DifyQueryRetrieval_api的screen会话，并在其中执行后续命令
|
||||
screen -dmS DifyQueryRetrieval_api bash -c "
|
||||
cd \"$SCRIPT_DIR\"
|
||||
uv run uvicorn rag2_0.api.DifyQueryRetrieval_api:app --host 0.0.0.0 --port 8002 --workers 25
|
||||
"
|
||||
|
||||
# 输出提示信息
|
||||
echo "Started screen session 'DifyQueryRetrieval_api' and executed the command."
|
||||
fi
|
||||
@@ -1,18 +0,0 @@
|
||||
#!/bin/bash
|
||||
|
||||
# 获取当前脚本所在的绝对路径
|
||||
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
|
||||
|
||||
# 检查是否已经存在名为xinference的screen会话
|
||||
if screen -ls | grep "intent_recognition_api"; then
|
||||
echo "Screen session 'intent_recognition_api' already exists."
|
||||
else
|
||||
# 启动一个名为intent_recognition_api的screen会话，并在其中执行后续命令
|
||||
screen -dmS intent_recognition_api bash -c "
|
||||
cd \"$SCRIPT_DIR\"
|
||||
uv run uvicorn rag2_0.api.intent_recognition_api:app --host 0.0.0.0 --port 8001 --workers 25
|
||||
"
|
||||
|
||||
# 输出提示信息
|
||||
echo "Started screen session 'intent_recognition_api' and executed the command."
|
||||
fi
|
||||
@@ -97,6 +97,18 @@ wheels = [
|
||||
{ url = "https://mirrors.aliyun.com/pypi/packages/ec/6a/bc7e17a3e87a2985d3e8f4da4cd0f481060eb78fb08596c42be62c90a4d9/aiosignal-1.3.2-py2.py3-none-any.whl", hash = "sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
version = "0.21.0"
|
||||
source = { registry = "https://mirrors.aliyun.com/pypi/simple" }
|
||||
dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://mirrors.aliyun.com/pypi/packages/13/7d/8bca2bf9a247c2c5dfeec1d7a5f40db6518f88d314b8bca9da29670d2671/aiosqlite-0.21.0.tar.gz", hash = "sha256:131bb8056daa3bc875608c631c678cda73922a2d4ba8aec373b19f18c17e7aa3" }
|
||||
wheels = [
|
||||
{ url = "https://mirrors.aliyun.com/pypi/packages/f5/10/6c25ed6de94c49f88a91fa5018cb4c0f3625f31d5be9f771ebe5cc7cd506/aiosqlite-0.21.0-py3-none-any.whl", hash = "sha256:2549cf4057f95f53dcba16f2b64e8e2791d7e1adedb13197dd8ed77bb226d7d0" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
@@ -1519,6 +1531,7 @@ name = "rag2-0"
|
||||
version = "0.1.0"
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "aiosqlite" },
|
||||
{ name = "bs4" },
|
||||
{ name = "faiss-cpu" },
|
||||
{ name = "fastapi" },
|
||||
@@ -1548,6 +1561,7 @@ dependencies = [
|
||||
|
||||
[package.metadata]
|
||||
requires-dist = [
|
||||
{ name = "aiosqlite", specifier = ">=0.20.0" },
|
||||
{ name = "bs4", specifier = ">=0.0.2" },
|
||||
{ name = "faiss-cpu", specifier = ">=1.11.0" },
|
||||
{ name = "fastapi", specifier = ">=0.115.14" },
|
||||
|
||||
Reference in New Issue
Block a user