feat: Add indicator code verification API and UI

- Add POST /api/indicator/verifyCode endpoint in Python backend.
- Update IndicatorEditor.vue with Verify Code button and error modal.
- Add i18n support for verification UI.
- Update README files.

backend_api_python/app/routes/indicator.py

@@ -14,9 +14,12 @@ import json
 import os
 import re
 import time
+import traceback
 from typing import Any, Dict, List
 
 from flask import Blueprint, Response, jsonify, request
+import pandas as pd
+import numpy as np
 
 from app.utils.db import get_db_connection
 from app.utils.logger import get_logger
@@ -80,6 +83,38 @@ def _row_to_indicator(row: Dict[str, Any], user_id: int) -> Dict[str, Any]:
     }
 
 
+def _generate_mock_df(length=200):
+    """Generate mock K-line data for verification."""
+    from datetime import datetime, timedelta
+    
+    dates = [datetime.now() - timedelta(minutes=i) for i in range(length)]
+    dates.reverse()
+    
+    # Random walk with trend
+    returns = np.random.normal(0, 0.002, length)
+    price_path = 10000 * np.exp(np.cumsum(returns))
+    
+    close = price_path
+    high = close * (1 + np.abs(np.random.normal(0, 0.001, length)))
+    low = close * (1 - np.abs(np.random.normal(0, 0.001, length)))
+    open_p = close * (1 + np.random.normal(0, 0.001, length)) # Slight deviation from close
+    # Ensure High is highest and Low is lowest
+    high = np.maximum(high, np.maximum(open_p, close))
+    low = np.minimum(low, np.minimum(open_p, close))
+    
+    volume = np.abs(np.random.normal(100, 50, length)) * 1000
+    
+    df = pd.DataFrame({
+        'time': [int(d.timestamp() * 1000) for d in dates],
+        'open': open_p,
+        'high': high,
+        'low': low,
+        'close': close,
+        'volume': volume
+    })
+    return df
+
+
 @indicator_bp.route("/getIndicators", methods=["POST"])
 def get_indicators():
     """
@@ -225,6 +260,117 @@ def delete_indicator():
         return jsonify({"code": 0, "msg": str(e), "data": None}), 500
 
 
+@indicator_bp.route("/verifyCode", methods=["POST"])
+def verify_code():
+    """
+    Verify/Dry-run indicator code with mock data.
+    Checks for:
+    - Syntax errors
+    - Runtime errors
+    - Output format (must define 'output' dict)
+    """
+    try:
+        data = request.get_json() or {}
+        code = data.get("code") or ""
+        
+        if not code or not str(code).strip():
+            return jsonify({"code": 0, "msg": "Code is empty", "data": None}), 400
+
+        # 1. Generate mock data
+        df = _generate_mock_df()
+        
+        # 2. Prepare execution environment
+        exec_env = {
+            'df': df.copy(),
+            'pd': pd,
+            'np': np,
+            'output': None
+        }
+        
+        # 3. Execute code
+        try:
+            exec(code, exec_env)
+        except SyntaxError as e:
+            return jsonify({
+                "code": 0, 
+                "msg": f"Syntax Error at line {e.lineno}: {e.msg}", 
+                "data": {"type": "SyntaxError", "line": e.lineno, "details": str(e)}
+            })
+        except Exception as e:
+            # Capture traceback for better debugging
+            tb = traceback.format_exc()
+            # Extract the line number from the exec() call in the traceback if possible
+            # This is tricky because the traceback includes the backend frames. 
+            # We'll just return the exception message.
+            return jsonify({
+                "code": 0, 
+                "msg": f"Runtime Error: {str(e)}", 
+                "data": {"type": type(e).__name__, "details": tb}
+            })
+            
+        # 4. Check output
+        output = exec_env.get('output')
+        
+        if output is None:
+            return jsonify({
+                "code": 0, 
+                "msg": "Missing 'output' variable. Your code must define an 'output' dictionary.", 
+                "data": {"type": "MissingOutput"}
+            })
+            
+        if not isinstance(output, dict):
+            return jsonify({
+                "code": 0, 
+                "msg": f"'output' must be a dictionary, got {type(output).__name__}", 
+                "data": {"type": "InvalidOutputType"}
+            })
+            
+        # Check required fields
+        if 'plots' not in output and 'signals' not in output:
+             return jsonify({
+                "code": 0, 
+                "msg": "'output' dict should contain 'plots' or 'signals' list.", 
+                "data": {"type": "InvalidOutputStructure"}
+            })
+            
+        # Basic check for lengths
+        plots = output.get('plots', [])
+        signals = output.get('signals', [])
+        
+        for p in plots:
+            if 'data' not in p:
+                return jsonify({"code": 0, "msg": f"Plot '{p.get('name')}' missing 'data' field.", "data": {"type": "InvalidPlot"}})
+            if len(p['data']) != len(df):
+                return jsonify({
+                    "code": 0, 
+                    "msg": f"Plot '{p.get('name')}' data length ({len(p['data'])}) does not match DataFrame length ({len(df)}).", 
+                    "data": {"type": "LengthMismatch"}
+                })
+                
+        for s in signals:
+            if 'data' not in s:
+                return jsonify({"code": 0, "msg": f"Signal '{s.get('type')}' missing 'data' field.", "data": {"type": "InvalidSignal"}})
+            if len(s['data']) != len(df):
+                return jsonify({
+                    "code": 0, 
+                    "msg": f"Signal '{s.get('type')}' data length ({len(s['data'])}) does not match DataFrame length ({len(df)}).", 
+                    "data": {"type": "LengthMismatch"}
+                })
+
+        return jsonify({
+            "code": 1, 
+            "msg": "Verification passed! Code executed successfully.", 
+            "data": {
+                "plots_count": len(plots),
+                "signals_count": len(signals)
+            }
+        })
+
+    except Exception as e:
+        logger.error(f"verify_code failed: {str(e)}", exc_info=True)
+        return jsonify({"code": 0, "msg": f"System Error: {str(e)}", "data": None}), 500
+
+
 @indicator_bp.route("/aiGenerate", methods=["POST"])
 def ai_generate():
     """
@@ -429,5 +575,3 @@ IMPORTANT: Output Python code directly, without explanations, without descriptio
             "X-Accel-Buffering": "no",
         },
     )
-
-

quantdinger_vue/src/locales/lang/en-US.js

@@ -621,6 +621,10 @@ const locale = {
   'dashboard.indicator.editor.aiPromptRequired': 'Please enter your idea',
   'dashboard.indicator.editor.aiGenerateSuccess': 'Code generated successfully',
   'dashboard.indicator.editor.aiGenerateError': 'Code generation failed, please try again later',
+  'dashboard.indicator.editor.verifyCode': 'Verify Code',
+  'dashboard.indicator.editor.verifyCodeSuccess': 'Verification Passed',
+  'dashboard.indicator.editor.verifyCodeFailed': 'Verification Failed',
+  'dashboard.indicator.editor.verifyCodeEmpty': 'Code cannot be empty',
   'dashboard.indicator.guide.title': 'Python Indicator & Strategy Development Guide',
   'dashboard.indicator.guide.intro': 'This platform supports writing custom technical indicators and trading signals using Python. The system includes built-in pandas and numpy data analysis libraries. You can use standard DataFrame operations to process K-line data and draw charts or mark buy/sell signals.',
   'dashboard.indicator.guide.section1.title': '1. Runtime Environment & Predefined Variables',

quantdinger_vue/src/locales/lang/ja-JP.js

@@ -617,6 +617,10 @@ const locale = {
   'dashboard.indicator.editor.aiPromptRequired': 'あなたの考えを入力してください',
   'dashboard.indicator.editor.aiGenerateSuccess': 'コード生成が成功しました',
   'dashboard.indicator.editor.aiGenerateError': 'コード生成に失敗しました。後でもう一度お試しください。',
+  'dashboard.indicator.editor.verifyCode': 'コード検証',
+  'dashboard.indicator.editor.verifyCodeSuccess': '検証合格',
+  'dashboard.indicator.editor.verifyCodeFailed': '検証失敗',
+  'dashboard.indicator.editor.verifyCodeEmpty': 'コードは空にできません',
   'dashboard.indicator.backtest.title': 'インジケーターのバックテスト',
   'dashboard.indicator.backtest.config': 'バックテストパラメータ',
   'dashboard.indicator.backtest.startDate': '開始日',

quantdinger_vue/src/locales/lang/ko-KR.js

@@ -616,6 +616,10 @@ const locale = {
   'dashboard.indicator.editor.aiPromptRequired': '당신의 생각을 입력해주세요',
   'dashboard.indicator.editor.aiGenerateSuccess': '코드 생성 성공',
   'dashboard.indicator.editor.aiGenerateError': '코드 생성에 실패했습니다. 나중에 다시 시도해 주세요.',
+  'dashboard.indicator.editor.verifyCode': '코드 검증',
+  'dashboard.indicator.editor.verifyCodeSuccess': '검증 통과',
+  'dashboard.indicator.editor.verifyCodeFailed': '검증 실패',
+  'dashboard.indicator.editor.verifyCodeEmpty': '코드는 비워둘 수 없습니다',
   'dashboard.indicator.backtest.title': '지표 백테스트',
   'dashboard.indicator.backtest.config': '백테스트 매개변수',
   'dashboard.indicator.backtest.startDate': '시작일',

quantdinger_vue/src/locales/lang/zh-CN.js

@@ -618,6 +618,10 @@ const locale = {
 'dashboard.indicator.editor.aiPromptRequired': '请输入您的想法',
 'dashboard.indicator.editor.aiGenerateSuccess': '代码生成成功',
 'dashboard.indicator.editor.aiGenerateError': '代码生成失败，请稍后重试',
+'dashboard.indicator.editor.verifyCode': '代码检查',
+'dashboard.indicator.editor.verifyCodeSuccess': '代码检查通过',
+'dashboard.indicator.editor.verifyCodeFailed': '代码检查未通过',
+'dashboard.indicator.editor.verifyCodeEmpty': '代码不能为空',
 'dashboard.indicator.boundary.message': '提示：指标脚本只负责“计算 + 绘图 + buy/sell 信号”；仓位、风控、加减仓、手续费/滑点属于策略执行配置。',
 'dashboard.indicator.boundary.indicatorRule': "指标脚本请只输出 buy/sell（并设定 df['buy']/df['sell']）。不要在脚本内撰写仓位管理、止盈止损、加减仓。",
 'dashboard.indicator.boundary.backtestRule': '规则：同一根K线若出现主信号（buy/sell→开/平仓/反手），本K线将跳过所有加仓与减仓。',

quantdinger_vue/src/locales/lang/zh-TW.js

@@ -618,6 +618,10 @@ const locale = {
   'dashboard.indicator.editor.aiPromptRequired': '請輸入您的想法',
   'dashboard.indicator.editor.aiGenerateSuccess': '代碼生成成功',
   'dashboard.indicator.editor.aiGenerateError': '代碼生成失敗，請稍後重試',
+  'dashboard.indicator.editor.verifyCode': '代碼檢查',
+  'dashboard.indicator.editor.verifyCodeSuccess': '代碼檢查通過',
+  'dashboard.indicator.editor.verifyCodeFailed': '代碼檢查未通過',
+  'dashboard.indicator.editor.verifyCodeEmpty': '代碼不能為空',
   'dashboard.indicator.boundary.message': '提示：指標腳本只負責「計算 + 繪圖 + buy/sell 信號」；倉位、風控、加減倉、手續費/滑點屬於策略執行配置。',
   'dashboard.indicator.boundary.indicatorRule': "指標腳本請只輸出 buy/sell（並設定 df['buy']/df['sell']）。不要在腳本內撰寫倉位管理、止盈止損、加減倉。",
   'dashboard.indicator.boundary.backtestRule': '規則：同一根K線若出現主信號（buy/sell→開/平倉/反手），本K線將跳過所有加倉與減倉。',

quantdinger_vue/src/views/indicator-analysis/components/IndicatorEditor.vue

@@ -25,6 +25,16 @@
                   <span class="section-title">{{ $t('dashboard.indicator.editor.code') }}</span>
                 </div>
                 <div class="section-actions">
+                  <a-button
+                    type="link"
+                    size="small"
+                    @click="handleVerifyCode"
+                    :loading="verifying"
+                    style="padding: 0 8px; color: #52c41a; font-weight: bold;"
+                  >
+                    <a-icon type="check-circle" />
+                    {{ $t('dashboard.indicator.editor.verifyCode') }}
+                  </a-button>
                   <a-button type="link" size="small" @click="goToDocs" style="padding: 0;">
                     <a-icon type="book" />
                     {{ $t('dashboard.indicator.editor.guide') }}
@@ -105,6 +115,7 @@ import 'codemirror/addon/edit/matchbrackets'
 import 'codemirror/addon/selection/active-line'
 import storage from 'store'
 import { ACCESS_TOKEN } from '@/store/mutation-types'
+import request from '@/utils/request'
 
 export default {
   name: 'IndicatorEditor',
@@ -128,6 +139,7 @@ export default {
       codeEditor: null,
       aiPrompt: '',
       aiGenerating: false,
+      verifying: false,
       isMobile: false
     }
   },
@@ -393,6 +405,55 @@ export default {
       window.open('https://github.com/brokermr810/QuantDinger/blob/main/docs/STRATEGY_DEV_GUIDE.md', '_blank')
     },
 
+    // 验证代码
+    handleVerifyCode () {
+      const code = this.codeEditor ? this.codeEditor.getValue() : ''
+      if (!code || !code.trim()) {
+        this.$message.warning(this.$t('dashboard.indicator.editor.verifyCodeEmpty'))
+        return
+      }
+
+      this.verifying = true
+      // 使用 request 工具（axios）发送请求，它会自动处理 baseURL 和 token
+      request({
+        url: '/api/indicator/verifyCode',
+        method: 'post',
+        data: { code: code }
+      }).then(res => {
+        if (res.code === 1) {
+          const data = res.data || {}
+          this.$message.success(`${this.$t('dashboard.indicator.editor.verifyCodeSuccess')} (${data.plots_count || 0} plots, ${data.signals_count || 0} signals)`)
+        } else {
+          // 显示详细错误
+          const errorData = res.data || {}
+          this.$error({
+            title: this.$t('dashboard.indicator.editor.verifyCodeFailed'),
+            width: 600,
+            content: (h) => {
+              return h('div', [
+                h('p', { style: { fontWeight: 'bold', color: '#ff4d4f' } }, res.msg),
+                errorData.details ? h('pre', {
+                  style: {
+                    background: '#f5f5f5',
+                    padding: '8px',
+                    overflow: 'auto',
+                    maxHeight: '300px',
+                    marginTop: '8px',
+                    fontSize: '12px',
+                    fontFamily: 'monospace'
+                  }
+                }, errorData.details) : null
+              ])
+            }
+          })
+        }
+      }).catch(err => {
+        this.$message.error('Request Failed: ' + (err.message || 'Unknown Error'))
+      }).finally(() => {
+        this.verifying = false
+      })
+    },
+
     // 清理代码中的 markdown 代码块标记
     cleanMarkdownCodeBlocks (code) {
       if (!code || typeof code !== 'string') {