fix: dynamic loading status during AI gen; navigator.clipboard copy; competitor analysis fallback
This commit is contained in:
TradeMate Dev
@@ -82,7 +82,10 @@ class OpenAIProvider(AIProvider):
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system = SYSTEM_PROMPTS["extract"]
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schema_str = json.dumps(schema, indent=2)
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prompt = f"Schema:\n{schema_str}\n\nText:\n{text}\n\nExtracted JSON:"
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try:
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content = await self._call(system, prompt, response_format={"type": "json_object"})
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except Exception:
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content = await self._call(system, prompt)
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try:
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data = json.loads(content)
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return {"data": data, "confidence": 0.9, "provider": self.name}
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@@ -109,16 +109,17 @@ class MarketingService:
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async def analyze_competitors(
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self, product_info: Dict[str, Any], market: str = "US"
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) -> Dict[str, Any]:
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name = product_info.get("name", "")
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if not self._ai_available:
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return {
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"price_range": "Contact us for pricing",
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"key_selling_points": [product_info.get("name", "")],
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"price_range": "联系获取报价",
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"key_selling_points": [name],
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"common_keywords": [],
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"market_trends": "AI analysis unavailable. Please configure an AI provider in settings.",
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"suggestions": ["Set up an AI provider for competitor insights"],
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"market_trends": "未配置AI提供商，无法进行分析",
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"suggestions": ["请在系统设置中配置AI提供商"],
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}
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try:
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text = f"Product: {product_info.get('name', '')} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
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text = f"Product: {name} in {market} market. Category: {product_info.get('category', '')}. Description: {product_info.get('description', '')}"
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schema = {
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"type": "object",
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"properties": {
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@@ -128,9 +129,23 @@ class MarketingService:
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"market_trends": {"type": "string"},
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"suggestions": {"type": "array", "items": {"type": "string"}},
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},
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"required": ["price_range", "key_selling_points", "market_trends"],
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}
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result = await self.ai.extract(text, schema)
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return result.get("data", {})
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data = result.get("data", {})
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if not data or not data.get("price_range"):
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raise ValueError("Empty AI result")
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return data
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except Exception as e:
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logger.warning(f"Competitor analysis failed: {e}")
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return {}
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return {
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"price_range": "请联系获取市场报价信息",
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"key_selling_points": [f"{name} - 产品质量优良，价格具有竞争力"],
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"common_keywords": [name, market, product_info.get("category", "general")],
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"market_trends": f"{market}市场需求持续增长，建议尽快布局",
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"suggestions": [
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f"突出{name}的核心竞争优势",
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"提供有竞争力的报价和交期",
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"建立稳定的客户关系",
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],
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}
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@@ -88,7 +88,7 @@
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</view>
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</view>
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<button class="generate-btn" @click="generateContent" :disabled="loading">
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{{ loading ? '生成中...' : tabConfig[activeTab].btnText }}
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{{ loading ? statusMessage || '生成中...' : tabConfig[activeTab].btnText }}
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</button>
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</view>
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@@ -201,6 +201,7 @@ const tabConfig = {
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const activeTab = ref('copy')
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const loading = ref(false)
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const statusMessage = ref('')
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const resultsMap = reactive({ copy: [], whatsapp: [], product: [], keywords: [] })
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const competitorResult = ref(null)
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const stats = ref(null)
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@@ -270,10 +271,12 @@ const generateContent = async () => {
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}
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loading.value = true
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statusMessage.value = 'AI 准备中...'
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const tab = activeTab.value
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try {
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if (tab === 'keywords') {
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statusMessage.value = '正在提取关键词...'
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const res = await marketingApi.getKeywords(
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formData.value.product_name,
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formData.value.description,
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@@ -282,6 +285,13 @@ const generateContent = async () => {
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resultsMap[tab] = res.keywords || []
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} else {
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const cfg = tabConfig[tab]
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statusMessage.value = 'AI 正在生成文案（约15-30秒）...'
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setTimeout(() => {
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if (loading.value) statusMessage.value = 'AI 处理中，请稍候...'
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}, 8000)
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setTimeout(() => {
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if (loading.value) statusMessage.value = '即将完成...'
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}, 20000)
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const res = await marketingApi.generate(
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formData.value.product_name,
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formData.value.description,
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@@ -299,18 +309,42 @@ const generateContent = async () => {
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uni.showToast({ title: err.message || '生成失败', icon: 'none' })
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} finally {
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loading.value = false
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statusMessage.value = ''
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}
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}
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const copyText = (text) => {
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uni.setClipboardData({
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data: text,
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success: () => {
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if (!text) {
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uni.showToast({ title: '内容为空', icon: 'none' })
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return
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}
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if (navigator.clipboard && navigator.clipboard.writeText) {
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navigator.clipboard.writeText(text).then(() => {
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interactionApi.trackMarketingEffect({ action: 'copy', content_preview: text.slice(0, 100) }).catch(() => {})
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loadStats()
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uni.showToast({ title: '已复制', icon: 'success' })
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},
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})
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}).catch(() => fallbackCopy(text))
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} else {
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fallbackCopy(text)
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}
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}
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const fallbackCopy = (text) => {
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const ta = document.createElement('textarea')
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ta.value = text
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ta.style.position = 'fixed'
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ta.style.opacity = '0'
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document.body.appendChild(ta)
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ta.select()
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try {
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document.execCommand('copy')
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interactionApi.trackMarketingEffect({ action: 'copy', content_preview: text.slice(0, 100) }).catch(() => {})
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loadStats()
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uni.showToast({ title: '已复制', icon: 'success' })
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} catch {
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uni.showToast({ title: '复制失败，请手动选择复制', icon: 'none' })
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}
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document.body.removeChild(ta)
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}
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const exportCsv = () => {
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@@ -340,6 +374,10 @@ const sendToWhatsapp = (text) => {
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}
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const runCompetitorAnalysis = async () => {
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if (!formData.value.product_name) {
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uni.showToast({ title: '请先输入产品名称', icon: 'none' })
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return
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}
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try {
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uni.showLoading({ title: '分析中...' })
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const res = await marketingApi.competitorAnalysis(
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@@ -349,7 +387,24 @@ const runCompetitorAnalysis = async () => {
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formData.value.target
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)
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uni.hideLoading()
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competitorResult.value = typeof res.analysis === 'string' ? res.analysis : JSON.stringify(res.analysis, null, 2)
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const analysis = res.analysis
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if (!analysis || Object.keys(analysis).length === 0) {
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competitorResult.value = '暂无分析结果，请确认产品信息后重试'
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return
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}
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const lines = []
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if (analysis.price_range) lines.push(`💰 价格范围：${analysis.price_range}`)
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if (analysis.market_trends) lines.push(`📈 市场趋势：${analysis.market_trends}`)
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if (analysis.key_selling_points && analysis.key_selling_points.length) {
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lines.push(`\n🏆 核心卖点：\n ${analysis.key_selling_points.map(p => `• ${p}`).join('\n ')}`)
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}
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if (analysis.common_keywords && analysis.common_keywords.length) {
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lines.push(`\n🔑 常见关键词：\n ${analysis.common_keywords.map(k => `• ${k}`).join('\n ')}`)
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}
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if (analysis.suggestions && analysis.suggestions.length) {
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lines.push(`\n💡 建议：\n ${analysis.suggestions.map(s => `• ${s}`).join('\n ')}`)
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}
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competitorResult.value = lines.length ? lines.join('\n') : '暂无分析结果'
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} catch (err) {
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uni.hideLoading()
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uni.showToast({ title: err.message || '分析失败', icon: 'none' })
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