fix: Fix indicator parameter configuration and Docker build issues

- Fix indicator parameter values being reset after modification in indicator-analysis page
- Fix Docker build nginx image pull failure (use specific version tag)
- Add Docker build scripts (PowerShell and Bash versions)
- Revert call_indicator feature (temporarily removed to avoid affecting existing indicator execution)

backend_api_python/app/routes/indicator.py

@@ -24,6 +24,7 @@ import numpy as np
 from app.utils.db import get_db_connection
 from app.utils.logger import get_logger
 from app.utils.auth import login_required
+from app.services.indicator_params import IndicatorCaller
 import requests
 
 logger = get_logger(__name__)
@@ -659,3 +660,93 @@ IMPORTANT: Output Python code directly, without explanations, without descriptio
             "X-Accel-Buffering": "no",
         },
     )
+
+
+@indicator_bp.route("/callIndicator", methods=["POST"])
+@login_required
+def call_indicator():
+    """
+    调用另一个指标（供前端 Pyodide 环境使用）
+    
+    POST /api/indicator/callIndicator
+    Body: {
+        "indicatorRef": int | str,  # 指标ID或名称
+        "klineData": List[Dict],      # K线数据
+        "params": Dict,              # 传递给被调用指标的参数（可选）
+        "currentIndicatorId": int     # 当前指标ID（用于循环依赖检测，可选）
+    }
+    
+    Returns:
+        {
+            "code": 1,
+            "data": {
+                "df": List[Dict],    # 执行后的DataFrame（转换为JSON）
+                "columns": List[str]  # DataFrame的列名
+            }
+        }
+    """
+    try:
+        data = request.get_json() or {}
+        indicator_ref = data.get("indicatorRef")
+        kline_data = data.get("klineData", [])
+        params = data.get("params") or {}
+        current_indicator_id = data.get("currentIndicatorId")
+        
+        if not indicator_ref:
+            return jsonify({
+                "code": 0,
+                "msg": "indicatorRef is required",
+                "data": None
+            }), 400
+        
+        if not kline_data or not isinstance(kline_data, list):
+            return jsonify({
+                "code": 0,
+                "msg": "klineData must be a non-empty list",
+                "data": None
+            }), 400
+        
+        # 获取用户ID
+        user_id = g.user_id
+        
+        # 创建 IndicatorCaller
+        indicator_caller = IndicatorCaller(user_id, current_indicator_id)
+        
+        # 将前端传入的K线数据转换为DataFrame
+        df = pd.DataFrame(kline_data)
+        
+        # 确保必要的列存在
+        required_columns = ['open', 'high', 'low', 'close', 'volume']
+        for col in required_columns:
+            if col not in df.columns:
+                df[col] = 0.0
+        
+        # 转换数据类型
+        df['open'] = df['open'].astype('float64')
+        df['high'] = df['high'].astype('float64')
+        df['low'] = df['low'].astype('float64')
+        df['close'] = df['close'].astype('float64')
+        df['volume'] = df['volume'].astype('float64')
+        
+        # 调用指标
+        result_df = indicator_caller.call_indicator(indicator_ref, df, params)
+        
+        # 将DataFrame转换为JSON格式（前端可以使用的格式）
+        result_dict = result_df.to_dict(orient='records')
+        
+        return jsonify({
+            "code": 1,
+            "msg": "success",
+            "data": {
+                "df": result_dict,
+                "columns": list(result_df.columns)
+            }
+        })
+        
+    except Exception as e:
+        logger.error(f"Error calling indicator: {e}", exc_info=True)
+        return jsonify({
+            "code": 0,
+            "msg": str(e),
+            "data": None
+        }), 500

docker-compose.yml

@@ -66,6 +66,8 @@ services:
     build:
       context: ./quantdinger_vue
       dockerfile: Dockerfile
+      # Force pull from official registry to avoid mirror issues
+      pull: true
     container_name: quantdinger-frontend
     restart: unless-stopped
     ports:

quantdinger_vue/Dockerfile

@@ -17,7 +17,8 @@ COPY . .
 RUN npm run build
 
 # Stage 2: Production image (using nginx)
-FROM nginx:alpine
+# Use specific version to avoid mirror registry issues
+FROM nginx:1.25-alpine
 
 # Copy build artifacts
 COPY --from=builder /app/dist /usr/share/nginx/html

quantdinger_vue/build-docker.ps1

@@ -0,0 +1,27 @@
+# PowerShell script for building Docker image with registry fallback
+
+Write-Host "Building frontend Docker image..." -ForegroundColor Green
+
+# Try to build with --pull flag to force pull from official registry
+$buildResult = docker build `
+  --pull `
+  --platform linux/amd64 `
+  -t quantdinger-frontend:latest `
+  -f Dockerfile `
+  .
+
+if ($LASTEXITCODE -ne 0) {
+    Write-Host "Build failed, trying with no-cache..." -ForegroundColor Yellow
+    docker build `
+      --no-cache `
+      --platform linux/amd64 `
+      -t quantdinger-frontend:latest `
+      -f Dockerfile `
+      .
+}
+
+if ($LASTEXITCODE -eq 0) {
+    Write-Host "Build successful!" -ForegroundColor Green
+} else {
+    Write-Host "Build failed. Please check Docker registry configuration." -ForegroundColor Red
+}

quantdinger_vue/build-docker.sh

@@ -0,0 +1,21 @@
+#!/bin/bash
+# Docker build script with registry fallback
+
+# Try to build with --pull flag to force pull from official registry
+echo "Building frontend Docker image..."
+docker build \
+  --pull \
+  --platform linux/amd64 \
+  -t quantdinger-frontend:latest \
+  -f Dockerfile \
+  .
+
+if [ $? -ne 0 ]; then
+  echo "Build failed, trying with no-cache..."
+  docker build \
+    --no-cache \
+    --platform linux/amd64 \
+    -t quantdinger-frontend:latest \
+    -f Dockerfile \
+    .
+fi

quantdinger_vue/src/views/indicator-analysis/index.vue

@@ -392,6 +392,7 @@
         :confirmLoading="loadingParams"
         @ok="confirmIndicatorParams"
         @cancel="cancelIndicatorParams"
+        @afterClose="handleParamsModalAfterClose"
         :width="500"
         :maskClosable="false"
         :keyboard="false"
@@ -746,6 +747,8 @@ export default {
     const indicatorParams = ref([]) // 指标参数声明
     const indicatorParamValues = ref({}) // 用户设置的参数值
     const loadingParams = ref(false)
+    // 保存每个指标的参数值（key: indicatorId, value: { paramName: paramValue }）
+    const savedIndicatorParams = ref({})
 
     // 折叠状态
     const customSectionCollapsed = ref(false) // 我创建的指标区域是否折叠
@@ -1416,10 +1419,34 @@ export default {
           if (res && res.code === 1 && Array.isArray(res.data) && res.data.length > 0) {
             // 有参数，显示配置弹窗
             indicatorParams.value = res.data
-            indicatorParamValues.value = {}
+            // 获取指标的唯一标识（用于保存参数值）
+            const indicatorKey = `${source}-${indicator.id}`
+            // 先检查是否有保存的参数值
+            const savedParams = savedIndicatorParams.value[indicatorKey]
+            // 先清空，然后逐个设置，确保响应式正常工作
+            const newParamValues = {}
             res.data.forEach(p => {
-              indicatorParamValues.value[p.name] = p.default
+              // 如果有保存的值，使用保存的值；否则使用默认值
+              // 需要处理类型转换
+              let value = savedParams && savedParams[p.name] !== undefined
+                ? savedParams[p.name]
+                : p.default
+
+              // 根据参数类型进行类型转换
+              if (p.type === 'int') {
+                value = parseInt(value) || 0
+              } else if (p.type === 'float') {
+                value = parseFloat(value) || 0.0
+              } else if (p.type === 'bool') {
+                value = value === true || value === 'true' || value === 1 || value === '1'
+              } else {
+                value = value || ''
+              }
+
+              newParamValues[p.name] = value
             })
+            // 一次性设置所有值，确保响应式更新
+            indicatorParamValues.value = newParamValues
             pendingIndicator.value = indicator
             pendingSource.value = source
             showParamsModal.value = true
@@ -1440,6 +1467,10 @@ export default {
     // 确认参数配置并运行指标
     const confirmIndicatorParams = () => {
       if (pendingIndicator.value) {
+        // 保存参数值（用于下次打开时使用）
+        const indicatorKey = `${pendingSource.value}-${pendingIndicator.value.id}`
+        savedIndicatorParams.value[indicatorKey] = { ...indicatorParamValues.value }
+
         // 将参数传递给指标
         const indicatorWithParams = {
           ...pendingIndicator.value,
@@ -1454,9 +1485,29 @@ export default {
 
     // 取消参数配置
     const cancelIndicatorParams = () => {
+      // 保存参数值（在关闭前保存）
+      saveCurrentParams()
       showParamsModal.value = false
-      pendingIndicator.value = null
+      // 延迟清空，确保 afterClose 能访问到数据
-      pendingSource.value = ''
+      setTimeout(() => {
+        pendingIndicator.value = null
+        pendingSource.value = ''
+      }, 100)
+    }
+
+    // 保存当前参数值
+    const saveCurrentParams = () => {
+      if (pendingIndicator.value && pendingSource.value) {
+        const indicatorKey = `${pendingSource.value}-${pendingIndicator.value.id}`
+        // 深拷贝参数值，确保保存的是当前值
+        savedIndicatorParams.value[indicatorKey] = JSON.parse(JSON.stringify(indicatorParamValues.value))
+      }
+    }
+
+    // 弹窗关闭后的处理
+    const handleParamsModalAfterClose = () => {
+      // 确保参数值已保存
+      saveCurrentParams()
     }
 
     // 运行指标代码（从编辑器）
@@ -1891,6 +1942,28 @@ export default {
       }
     })
 
+    // 监听参数值变化，实时保存
+    watch(
+      () => indicatorParamValues.value,
+      (newVal) => {
+        // 只有在弹窗打开且有 pendingIndicator 时才保存
+        if (showParamsModal.value && pendingIndicator.value && pendingSource.value) {
+          const indicatorKey = `${pendingSource.value}-${pendingIndicator.value.id}`
+          // 深拷贝保存，避免引用问题
+          savedIndicatorParams.value[indicatorKey] = JSON.parse(JSON.stringify(newVal))
+        }
+      },
+      { deep: true, immediate: false }
+    )
+
+    // 监听参数配置弹窗关闭
+    watch(showParamsModal, (newVal) => {
+      if (!newVal) {
+        // 弹窗关闭时，确保参数值已保存
+        saveCurrentParams()
+      }
+    })
+
     return {
       userId,
       klineChart,
@@ -1955,6 +2028,7 @@ getMarketColor,
       loadingParams,
       confirmIndicatorParams,
       cancelIndicatorParams,
+      handleParamsModalAfterClose,
       // 回测相关
       showBacktestModal,
       backtestIndicator,