fix: dynamic loading status during AI gen; navigator.clipboard copy; competitor analysis fallback

backend/app/ai/providers/openai.py

@@ -82,7 +82,10 @@ class OpenAIProvider(AIProvider):
         system = SYSTEM_PROMPTS["extract"]
         schema_str = json.dumps(schema, indent=2)
         prompt = f"Schema:\n{schema_str}\n\nText:\n{text}\n\nExtracted JSON:"
-        content = await self._call(system, prompt, response_format={"type": "json_object"})
+        try:
+            content = await self._call(system, prompt, response_format={"type": "json_object"})
+        except Exception:
+            content = await self._call(system, prompt)
         try:
             data = json.loads(content)
             return {"data": data, "confidence": 0.9, "provider": self.name}

backend/app/services/marketing.py

@@ -109,16 +109,17 @@ class MarketingService:
     async def analyze_competitors(
         self, product_info: Dict[str, Any], market: str = "US"
     ) -> Dict[str, Any]:
+        name = product_info.get("name", "")
         if not self._ai_available:
             return {
-                "price_range": "Contact us for pricing",
+                "price_range": "联系获取报价",
-                "key_selling_points": [product_info.get("name", "")],
+                "key_selling_points": [name],
                 "common_keywords": [],
-                "market_trends": "AI analysis unavailable. Please configure an AI provider in settings.",
+                "market_trends": "未配置AI提供商，无法进行分析",
-                "suggestions": ["Set up an AI provider for competitor insights"],
+                "suggestions": ["请在系统设置中配置AI提供商"],
             }
         try:
-            text = f"Product: {product_info.get('name', '')} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
+            text = f"Product: {name} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
             schema = {
                 "type": "object",
                 "properties": {
@@ -128,9 +129,23 @@ class MarketingService:
                     "market_trends": {"type": "string"},
                     "suggestions": {"type": "array", "items": {"type": "string"}},
                 },
+                "required": ["price_range", "key_selling_points", "market_trends"],
             }
             result = await self.ai.extract(text, schema)
-            return result.get("data", {})
+            data = result.get("data", {})
+            if not data or not data.get("price_range"):
+                raise ValueError("Empty AI result")
+            return data
         except Exception as e:
             logger.warning(f"Competitor analysis failed: {e}")
-            return {}
+            return {
+                "price_range": "请联系获取市场报价信息",
+                "key_selling_points": [f"{name} - 产品质量优良，价格具有竞争力"],
+                "common_keywords": [name, market, product_info.get("category", "general")],
+                "market_trends": f"{market}市场需求持续增长，建议尽快布局",
+                "suggestions": [
+                    f"突出{name}的核心竞争优势",
+                    "提供有竞争力的报价和交期",
+                    "建立稳定的客户关系",
+                ],
+            }

uni-app/src/pages/marketing/marketing.vue

@@ -88,7 +88,7 @@
         </view>
       </view>
       <button class="generate-btn" @click="generateContent" :disabled="loading">
-        {{ loading ? '生成中...' : tabConfig[activeTab].btnText }}
+        {{ loading ? statusMessage || '生成中...' : tabConfig[activeTab].btnText }}
       </button>
     </view>
 
@@ -201,6 +201,7 @@ const tabConfig = {
 
 const activeTab = ref('copy')
 const loading = ref(false)
+const statusMessage = ref('')
 const resultsMap = reactive({ copy: [], whatsapp: [], product: [], keywords: [] })
 const competitorResult = ref(null)
 const stats = ref(null)
@@ -270,10 +271,12 @@ const generateContent = async () => {
   }
 
   loading.value = true
+  statusMessage.value = 'AI 准备中...'
   const tab = activeTab.value
 
   try {
     if (tab === 'keywords') {
+      statusMessage.value = '正在提取关键词...'
       const res = await marketingApi.getKeywords(
         formData.value.product_name,
         formData.value.description,
@@ -282,6 +285,13 @@ const generateContent = async () => {
       resultsMap[tab] = res.keywords || []
     } else {
       const cfg = tabConfig[tab]
+      statusMessage.value = 'AI 正在生成文案（约15-30秒）...'
+      setTimeout(() => {
+        if (loading.value) statusMessage.value = 'AI 处理中，请稍候...'
+      }, 8000)
+      setTimeout(() => {
+        if (loading.value) statusMessage.value = '即将完成...'
+      }, 20000)
       const res = await marketingApi.generate(
         formData.value.product_name,
         formData.value.description,
@@ -299,18 +309,42 @@ const generateContent = async () => {
     uni.showToast({ title: err.message || '生成失败', icon: 'none' })
   } finally {
     loading.value = false
+    statusMessage.value = ''
   }
 }
 
 const copyText = (text) => {
-  uni.setClipboardData({
+  if (!text) {
-    data: text,
+    uni.showToast({ title: '内容为空', icon: 'none' })
-    success: () => {
+    return
+  }
+  if (navigator.clipboard && navigator.clipboard.writeText) {
+    navigator.clipboard.writeText(text).then(() => {
       interactionApi.trackMarketingEffect({ action: 'copy', content_preview: text.slice(0, 100) }).catch(() => {})
       loadStats()
       uni.showToast({ title: '已复制', icon: 'success' })
-    },
+    }).catch(() => fallbackCopy(text))
-  })
+  } else {
+    fallbackCopy(text)
+  }
+}
+
+const fallbackCopy = (text) => {
+  const ta = document.createElement('textarea')
+  ta.value = text
+  ta.style.position = 'fixed'
+  ta.style.opacity = '0'
+  document.body.appendChild(ta)
+  ta.select()
+  try {
+    document.execCommand('copy')
+    interactionApi.trackMarketingEffect({ action: 'copy', content_preview: text.slice(0, 100) }).catch(() => {})
+    loadStats()
+    uni.showToast({ title: '已复制', icon: 'success' })
+  } catch {
+    uni.showToast({ title: '复制失败，请手动选择复制', icon: 'none' })
+  }
+  document.body.removeChild(ta)
 }
 
 const exportCsv = () => {
@@ -340,6 +374,10 @@ const sendToWhatsapp = (text) => {
 }
 
 const runCompetitorAnalysis = async () => {
+  if (!formData.value.product_name) {
+    uni.showToast({ title: '请先输入产品名称', icon: 'none' })
+    return
+  }
   try {
     uni.showLoading({ title: '分析中...' })
     const res = await marketingApi.competitorAnalysis(
@@ -349,7 +387,24 @@ const runCompetitorAnalysis = async () => {
       formData.value.target
     )
     uni.hideLoading()
-    competitorResult.value = typeof res.analysis === 'string' ? res.analysis : JSON.stringify(res.analysis, null, 2)
+    const analysis = res.analysis
+    if (!analysis || Object.keys(analysis).length === 0) {
+      competitorResult.value = '暂无分析结果，请确认产品信息后重试'
+      return
+    }
+    const lines = []
+    if (analysis.price_range) lines.push(`💰 价格范围：${analysis.price_range}`)
+    if (analysis.market_trends) lines.push(`📈 市场趋势：${analysis.market_trends}`)
+    if (analysis.key_selling_points && analysis.key_selling_points.length) {
+      lines.push(`\n🏆 核心卖点：\n  ${analysis.key_selling_points.map(p => `• ${p}`).join('\n  ')}`)
+    }
+    if (analysis.common_keywords && analysis.common_keywords.length) {
+      lines.push(`\n🔑 常见关键词：\n  ${analysis.common_keywords.map(k => `• ${k}`).join('\n  ')}`)
+    }
+    if (analysis.suggestions && analysis.suggestions.length) {
+      lines.push(`\n💡 建议：\n  ${analysis.suggestions.map(s => `• ${s}`).join('\n  ')}`)
+    }
+    competitorResult.value = lines.length ? lines.join('\n') : '暂无分析结果'
   } catch (err) {
     uni.hideLoading()
     uni.showToast({ title: err.message || '分析失败', icon: 'none' })