{ "name": "WeChat-Daily-Digest-AI-Cost-Optimized", "nodes": [ { "parameters": { "rule": { "interval": [ { "triggerAtHour": 8 } ] } }, "id": "b0efabdd-948a-4e01-b233-68cd5f1906e8", "name": "Run every day at 8am", "type": "n8n-nodes-base.scheduleTrigger", "typeVersion": 1.1, "position": [ 20, -540 ], "timezone": "Asia/Shanghai" }, { "parameters": { "url": "http://host.docker.internal:5030/api/v1/chatlog", "sendQuery": true, "specifyQuery": "json", "jsonQuery": "={\n \"time\": \"{{ $json.date }}~{{ $json.date }}\",\n \"talker\": \"{{ $json.group_name }}\"\n}", "options": {} }, "id": "7341c497-4022-40e3-b8b2-0048700ccd10", "name": "Fetch Yesterday's Chatlog", "type": "n8n-nodes-base.httpRequest", "typeVersion": 4.1, "position": [ 60, -100 ] }, { "parameters": { "jsCode": "// Node: Parse & Structure Data (Repaired)\n// Input: Raw chat log text from the previous node.\n// Output: A single, structured JSON object with correctly parsed messages.\n\nconst rawLog = $json.data;\nconst talkerName = $('ConfigureChatParameters').first().json.group_name;\n\nif (!rawLog) {\n console.log(\"\u8f93\u5165\u6570\u636e\u4e3a\u7a7a\uff0c\u8bf7\u68c0\u67e5\u4e0a\u6e38\u8282\u70b9\u3002\");\n return { error: \"Input data is empty or not found.\" };\n}\n\n// \u83b7\u53d6\u6628\u5929\u7684\u65e5\u671f\u4f5c\u4e3a\u6240\u6709\u6d88\u606f\u7684\u65e5\u671f\u524d\u7f00\nconst datePrefix = $('ConfigureChatParameters').first().json.date;\n\n\n// \u6309\u4e00\u4e2a\u6216\u591a\u4e2a\u7a7a\u884c\u6765\u5206\u5272\u6d88\u606f\u5757\uff0c\u8fd9\u66f4\u53ef\u9760\nconst messageBlocks = rawLog.trim().split(/\\n\\s*\\n/);\n\nconst messages = [];\nfor (const block of messageBlocks) {\n if (block.trim() === \"\") continue;\n\n const lines = block.trim().split('\\n');\n const header = lines.shift(); // \u7b2c\u4e00\u884c\u662f \"\u53d1\u9001\u8005 HH:MM:SS\"\n\n // \u6b63\u5219\u8868\u8fbe\u5f0f\uff0c\u7528\u4e8e\u4ece header \u4e2d\u6355\u83b7\u53d1\u9001\u8005\u548c\u65f6\u95f4\n const match = header.match(/(.+) (\\d{2}:\\d{2}:\\d{2})$/);\n\n // \u5982\u679c\u7b2c\u4e00\u884c\u4e0d\u7b26\u5408 \"\u53d1\u9001\u8005 \u65f6\u95f4\" \u7684\u683c\u5f0f\uff0c\u5219\u8df3\u8fc7\u8fd9\u4e2a\u5757\n if (!match) {\n console.log(\"\u8df3\u8fc7\u65e0\u6548\u7684\u6d88\u606f\u5757:\", block);\n continue;\n }\n\n const senderName = match[1].trim();\n const timeStr = match[2];\n const content = lines.join('\\n').trim();\n\n // \u7ec4\u5408\u65e5\u671f\u548c\u65f6\u95f4\uff0c\u521b\u5efa\u5b8c\u6574\u7684ISO\u65f6\u95f4\u6233\n const isoTime = `${datePrefix}T${timeStr}+08:00`;\n\n messages.push({\n content: content,\n contents: null,\n sender_name: senderName,\n talker_name: talkerName,\n time: isoTime,\n seq: messages.length + 1\n });\n}\n\nconst now = new Date();\nconst result = {\n step: \"1_structured_data\",\n description: \"Parsed and structured data from raw text\",\n date: $('ConfigureChatParameters').first().json.date,\n timestamp: now.toISOString(),\n sources: {\n [talkerName]: {\n message_count: messages.length,\n messages: messages\n }\n },\n statistics: {\n total_sources: 1,\n total_messages: messages.length,\n sources_summary: {\n [talkerName]: messages.length\n }\n }\n};\n\nconsole.log(\"\u6210\u529f\u83b7\u53d6 \" + messages.length +\" \u6761\u6d88\u606f from \" + talkerName)\n\nreturn [{ json: result }];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 300, -100 ], "id": "02d16e25-f519-4fdb-b7f1-b97edcbf4f6a", "name": "Parse & Structure Data" }, { "parameters": { "jsCode": "// Node: Clean & Segment by Time (Repaired with Logs and Validation - Fixed)\n// Input: The structured JSON object from the \"Parse & Structure Data\" node.\n// Output: An array of time segments, with correct message counts.\n\nconst structuredData = $('Parse & Structure Data').first().json;\nconst sourceName = Object.keys(structuredData.sources)[0];\nconst allMessages = structuredData.sources[sourceName].messages;\n\nconsole.log(`\\n[blue]\u5f00\u59cb\u65f6\u95f4\u6bb5\u5206\u5272\u548c\u6e05\u6d17...[/blue]`);\nconsole.log(`[cyan]\u539f\u59cb\u6d88\u606f\u603b\u6570: ${allMessages.length} \u6761[/cyan]`);\n\nif (!allMessages || allMessages.length === 0) {\n console.log(\"\u6ca1\u6709\u6d88\u606f\u9700\u8981\u5904\u7406\u3002\");\n return [];\n}\n\n// 1. \u6e05\u6d17\u6d88\u606f\nconst cleanedMessages = allMessages.filter(msg => {\n const hasSender = msg.sender_name && msg.sender_name.trim() !== \"\";\n const hasContent = (msg.content && msg.content.trim() !== \"\") || (msg.contents && msg.contents !== null);\n \n // \u5f3a\u5316\u7cfb\u7edf\u6d88\u606f\u8fc7\u6ee4\u6761\u4ef6\n const isSystemMessage = (msg.sender_name === \"\" || msg.sender_name === \"\u7cfb\u7edf\u6d88\u606f\") || \n (msg.content && (\n msg.content.includes(\"\u52a0\u5165\u4e86\u7fa4\u804a\") ||\n msg.content.includes(\"\u64a4\u56de\u4e86\u4e00\u6761\u6d88\u606f\") ||\n msg.content.includes(\"\u62cd\u4e86\u62cd\") ||\n msg.content.includes(\"\u4e0e\u7fa4\u91cc\u5176\u4ed6\u4eba\u90fd\u4e0d\u662f\u670b\u53cb\u5173\u7cfb\")\n ));\n\n return hasSender && hasContent && !isSystemMessage;\n});\n\nconsole.log(`[cyan]\u6e05\u6d17\u540e\u6709\u6548\u6d88\u606f\u603b\u6570: ${cleanedMessages.length} \u6761 (\u8fc7\u6ee4\u6389\u7cfb\u7edf\u6d88\u606f\u7b49)[/cyan]`);\n\n// 2. \u5b9a\u4e49\u65f6\u95f4\u6bb5\nconst segmentsConfig = [\n { name: \"\u51cc\u6668\", start_hour: 0, end_hour: 6, messages: [] },\n { name: \"\u4e0a\u5348\", start_hour: 6, end_hour: 12, messages: [] },\n { name: \"\u4e0b\u5348\", start_hour: 12, end_hour: 18, messages: [] },\n { name: \"\u665a\u4e0a\", start_hour: 18, end_hour: 24, messages: [] }\n];\n\n// 3. \u5c06\u6e05\u6d17\u540e\u7684\u6d88\u606f\u653e\u5165\u65f6\u95f4\u6bb5\nfor (const message of cleanedMessages) {\n try {\n const msgHour = parseInt(message.time.substring(11, 13), 10);\n\n if (isNaN(msgHour)) {\n console.log(`[yellow]\u8b66\u544a: \u65e0\u6cd5\u89e3\u6790\u6d88\u606f\u65f6\u95f4\uff0c\u8df3\u8fc7: ${message.time}[/yellow]`);\n continue; \n }\n\n let assigned = false;\n for (const segment of segmentsConfig) {\n if (msgHour >= segment.start_hour && msgHour < segment.end_hour) {\n segment.messages.push(message);\n assigned = true;\n break;\n }\n }\n if (!assigned) {\n console.log(`[yellow]\u8b66\u544a: \u6d88\u606f\u672a\u5206\u914d\u5230\u4efb\u4f55\u65f6\u95f4\u6bb5\uff0c\u8df3\u8fc7: ${message.time} - ${message.sender_name}: ${message.content.substring(0, 50)}...[/yellow]`);\n }\n } catch (e) {\n console.log(`[red]\u9519\u8bef: \u5904\u7406\u6d88\u606f\u65f6\u53d1\u751f\u5f02\u5e38: ${message.time} - ${e.message}[/red]`);\n }\n}\n\n// 4. \u683c\u5f0f\u5316\u6700\u7ec8\u8f93\u51fa\nconst result = segmentsConfig\n .filter(s => s.messages.length > 0)\n .map(s => ({\n json: {\n name: s.name,\n start_hour: s.start_hour,\n end_hour: s.end_hour,\n messages_log: s.messages.map(m => `${m.sender_name}: ${m.content}`).join('\\n---\\n'),\n message_count: s.messages.length\n }\n }));\n\n// 5. \u6253\u5370\u6bcf\u4e2a\u65f6\u95f4\u6bb5\u7684\u65e5\u5fd7\nconsole.log(`\\n[blue]\u65f6\u95f4\u6bb5\u5206\u5272\u7ed3\u679c:[/blue]`);\nlet totalSegmentedMessages = 0;\nsegmentsConfig.forEach(s => {\n if (s.messages.length > 0) {\n console.log(` \ud83d\udcc5 ${s.name} (${s.start_hour}-${s.end_hour}\u65f6): ${s.messages.length} \u6761\u6d88\u606f`);\n totalSegmentedMessages += s.messages.length;\n }\n});\n\n// 6. \u6570\u636e\u9a8c\u8bc1\nconsole.log(`\\n[blue]\u6570\u636e\u9a8c\u8bc1:[/blue]`);\nconsole.log(` \u6e05\u6d17\u540e\u6d88\u606f\u603b\u6570: ${cleanedMessages.length} \u6761`);\nconsole.log(` \u5206\u6bb5\u540e\u6d88\u606f\u603b\u6570: ${totalSegmentedMessages} \u6761`);\n\nif (cleanedMessages.length === totalSegmentedMessages) {\n console.log(`[green]\u6570\u636e\u9a8c\u8bc1\u901a\u8fc7: \u6240\u6709\u6e05\u6d17\u540e\u7684\u6d88\u606f\u90fd\u5df2\u6210\u529f\u5206\u6bb5\u3002[/green]`);\n} else {\n console.log(`[red]\u6570\u636e\u9a8c\u8bc1\u5931\u8d25: \u6e05\u6d17\u540e\u6d88\u606f (${cleanedMessages.length}) \u4e0e\u5206\u6bb5\u540e\u6d88\u606f (${totalSegmentedMessages}) \u6570\u91cf\u4e0d\u5339\u914d\u3002[/red]`);\n // \u53ef\u4ee5\u9009\u62e9\u629b\u51fa\u9519\u8bef\u6765\u4e2d\u65ad\u5de5\u4f5c\u6d41\uff0c\u6216\u8005\u7ee7\u7eed\u6267\u884c\n // throw new Error(\"\u6d88\u606f\u6570\u91cf\u4e0d\u5339\u914d\uff0c\u6570\u636e\u5904\u7406\u5f02\u5e38\u3002\");\n}\n\nconsole.log(`[green]\u65f6\u95f4\u6bb5\u5206\u5272\u548c\u6e05\u6d17\u5b8c\u6210[/green]`);\n\nreturn result;" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 920, -100 ], "id": "b9d5acd4-0559-47af-8419-dae86fb52fc7", "name": "Clean & Segment by Time" }, { "parameters": { "content": "## \u7ed3\u6784\u5316\u521d\u59cb\u6570\u636e\n \n\u5929\u6570\u636e\u83b7\u53d6\u4e0e\u9884\u5904\u7406\uff08\u5305\u542b\u89e3\u6790\u3001\u6e05\u6d17\u3001\u5206\u6bb5\u3001\u94fe\u63a5\u63d0\u53d6\u3001\u6d3b\u8dc3\u7528\u6237\u7edf\u8ba1\u3001\u6d88\u606f\u6837\u672c\u51c6\u5907\uff09", "height": 260, "width": 860, "color": 5 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -40, -200 ], "id": "00d281ec-7a40-4921-a4e4-a034d921d47e", "name": "Sticky Note" }, { "parameters": { "content": "## \u804a\u5929\u6570\u636e\u65f6\u95f4\u5206\u6bb5\n", "height": 260, "color": 2 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 860, -200 ], "id": "3cef8b1c-c532-45c4-8c12-b28340a07cfc", "name": "Sticky Note1" }, { "parameters": { "content": "## \u8bdd\u9898\u5206\u6790\n * \u5206\u800c\u6cbb\u4e4b: \u5c06\u957f\u65e5\u5fd7\u5206\u5272\u6210\u5c0f\u5757\uff0c\u9010\u4e2a\u5904\u7406\u3002\n * \u6210\u672c\u63a7\u5236: \u5728\u7c97\u52a0\u5de5\u9636\u6bb5\u4f7f\u7528\u5ec9\u4ef7\u6a21\u578b\u3002\n * \u7ed3\u6784\u5316\u8f93\u51fa: \u5f3a\u5236 AI \u8fd4\u56de JSON \u683c\u5f0f\uff0c\u4fbf\u4e8e\u540e\u7eed\u5904\u7406\u3002\n * \u8bdd\u9898\u805a\u5408: \u5c06\u6240\u6709\u65f6\u95f4\u6bb5\u7684\u8bdd\u9898\u5408\u5e76\uff0c\u4e3a\u6700\u7ec8\u62a5\u544a\u505a\u51c6\u5907\u3002\n", "height": 420, "width": 1140, "color": 6 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -40, 120 ], "id": "ae96b3b5-25af-4379-b108-b83905e1c5b8", "name": "Sticky Note2" }, { "parameters": { "batchSize": 1, "options": {} }, "id": "65cd41dc-69c0-47bb-b334-299a04eafc44", "name": "Split in Batches", "type": "n8n-nodes-base.splitInBatches", "typeVersion": 2, "position": [ 20, 260 ] }, { "parameters": { "promptType": "define", "text": "=\u4f60\u662f\u4e13\u4e1a\u7684\u804a\u5929\u8bb0\u5f55\u5206\u6790\u4e13\u5bb6\u3002\u4f60\u7684\u4efb\u52a1\u662f\u5206\u6790\u7ed9\u5b9a\u7684\u804a\u5929\u8bb0\u5f55\u7247\u6bb5\uff0c\u5e76\u4e25\u683c\u6309\u7167\u8981\u6c42\u63d0\u53d6\u6838\u5fc3\u8bdd\u9898\u3002\n\n### \u6838\u5fc3\u5206\u6790\u539f\u5219 (\u5fc5\u987b\u4e25\u683c\u9075\u5b88)\n\n1. **\u8bdd\u9898\u8bc6\u522b\u6807\u51c6**:\n * **\u6570\u91cf\u95e8\u69db**: \u81f3\u5c11\u9700\u89813\u6761\u76f8\u5173\u7684\u6d88\u606f\u624d\u80fd\u6784\u6210\u4e00\u4e2a\u72ec\u7acb\u7684\u8bdd\u9898\u3002\n * **\u5185\u5bb9\u4ef7\u503c**: \u8bdd\u9898\u5185\u5bb9\u5fc5\u987b\u6709\u660e\u786e\u7684\u8ba8\u8bba\u4e3b\u9898\u548c\u4ef7\u503c\u3002\n * **\u65e0\u6548\u5185\u5bb9\u8fc7\u6ee4**: \u4e25\u7981\u5c06\u65e0\u610f\u4e49\u7684\u95ee\u5019\uff08\u5982\u201c\u65e9\u201d\u3001\u201c\u5728\u5417\u201d\uff09\u3001\u8868\u60c5\u7b26\u53f7\u3001\u6216\u7b80\u5355\u7684\u786e\u8ba4\uff08\u5982\u201c\u597d\u7684\u201d\u3001\u201c\u6536\u5230\u201d\uff09\u4f5c\u4e3a\u72ec\u7acb\u8bdd\u9898\u3002\n\n2. **\u8bdd\u9898\u8fb9\u754c\u5224\u65ad**:\n * **\u4e3b\u9898\u5ef6\u7eed**: \u5982\u679c\u6709\u65b0\u6210\u5458\u52a0\u5165\u8ba8\u8bba\uff0c\u4f46\u8ba8\u8bba\u7684\u8fd8\u662f\u540c\u4e00\u4e2a\u6838\u5fc3\u4e3b\u9898\uff0c\u8fd9\u5c5e\u4e8e**\u540c\u4e00\u8bdd\u9898**\u3002\n * **\u4e3b\u9898\u8f6c\u53d8**: \u5f53\u8ba8\u8bba\u7684\u7126\u70b9\u53d1\u751f\u660e\u663e\u3001\u4e0d\u76f8\u5173\u7684\u8f6c\u53d8\u65f6\uff0c\u5fc5\u987b\u521b\u5efa**\u65b0\u8bdd\u9898**\u3002\n * **\u65f6\u95f4\u95f4\u9694**: \u5982\u679c\u4e24\u6761\u6d88\u606f\u4e4b\u95f4\u6ca1\u6709\u76f4\u63a5\u5173\u8054\uff0c\u4e14\u65f6\u95f4\u95f4\u9694\u8d85\u8fc7 **30\u5206\u949f**\uff0c\u5e94\u89c6\u4e3a**\u65b0\u8bdd\u9898**\u3002\n\n### \u5185\u5bb9\u751f\u6210\u8981\u6c42\n\n1. **\u8bdd\u9898\u6807\u9898 (`topic_title`)**: \u751f\u6210\u4e00\u4e2a\u7b80\u6d01\u3001\u7cbe\u51c6\u3001\u80fd\u6982\u62ec\u8bdd\u9898\u6838\u5fc3\u7684\u6807\u9898\u3002\n2. **\u8bdd\u9898\u63cf\u8ff0 (`topic_description`)**:\n * **\u98ce\u683c**: \u4f7f\u7528\u751f\u52a8\u3001\u63a5\u5730\u6c14\u3001\u7565\u5e26\u201c\u9a9a\u8bdd\u201d\u98ce\u683c\u7684\u5e74\u8f7b\u4eba\u7f51\u7edc\u7528\u8bed\u3002\n * **\u5185\u5bb9**: \u63cf\u8ff0\u5fc5\u987b\u51c6\u786e\u53cd\u6620\u8ba8\u8bba\u7684\u5b9e\u9645\u5185\u5bb9\u3001\u5173\u952e\u4fe1\u606f\u548c\u4e3b\u8981\u89c2\u70b9\u3002\n * **\u957f\u5ea6**: \u4e25\u683c\u63a7\u5236\u5728 100 \u5230 150 \u5b57\u4e4b\u95f4\u3002\n\n### \u7edd\u5bf9\u8f93\u51fa\u8981\u6c42 (\u6700\u91cd\u8981)\n\n1. **\u7eafJSON**: **\u53ea\u5141\u8bb8**\u8f93\u51fa\u6709\u6548\u7684JSON\u5bf9\u8c61\u3002\n2. **\u7981\u6b62Markdown**: **\u4e25\u7981**\u5728\u8f93\u51fa\u7684\u4efb\u4f55\u4f4d\u7f6e\u4f7f\u7528 ` ```json ` \u6216 ` ``` ` \u8fdb\u884c\u5305\u88f9\u3002\n3. **\u7981\u6b62\u89e3\u91ca**: **\u4e25\u7981**\u5728JSON\u5bf9\u8c61\u524d\u540e\u6dfb\u52a0\u4efb\u4f55\u5f62\u5f0f\u7684\u89e3\u91ca\u6027\u6587\u5b57\u6216\u6ce8\u91ca\u3002\n4. **\u7fa4\u7ec4\u540d**: {{ $('ConfigureChatParameters').item.json.group_name }}\n\n---\n### \u8f93\u51faJSON\u683c\u5f0f (\u4e25\u683c\u9075\u5b88\u6b64\u7ed3\u6784)\n\n1. \u5fc5\u987b\u8fd4\u56de\u6709\u6548\u7684 JSON \u683c\u5f0f\n2. \u4e0d\u8981\u5305\u542b\u4efb\u4f55\u89e3\u91ca\u6587\u5b57\u6216 markdown \u683c\u5f0f\n3. \u4e0d\u8981\u4f7f\u7528 ```json``` \u4ee3\u7801\u5757\n4. \u4e25\u683c\u6309\u7167\u4ee5\u4e0b\u683c\u5f0f\u8fd4\u56de\n\nJSON \u683c\u5f0f\u793a\u4f8b\uff1a\n{\n \"analysis_id\": \"\u7fa4\u7ec4\u540d_\u65e5\u671f_\u65f6\u95f4\u6bb5_analysis\",\n \"meta\": {\n \"source\": \"\u7fa4\u7ec4\u540d\",\n \"date\": \"\u65e5\u671f\", \n \"segment\": \"\u65f6\u95f4\u6bb5\",\n \"total_messages\": 50\n },\n \"topics\": [\n {\n \"topic_id\": \"\u8bdd\u98981\u7684ID\",\n \"topic_title\": \"\u8bdd\u98981\u7684\u6807\u9898\",\n \"topic_description\": \"\u8bdd\u98981\u7684\u8be6\u7ec6\u63cf\u8ff0\uff0c\u5305\u542b\u5173\u952e\u8bcd\u548c\u4e3b\u8981\u5185\u5bb9\uff0c\u81f3\u5c1150\u5b57\",\n \"is_off_topic\": false,\n \"topic_start_time\": \"\u8bdd\u9898\u5f00\u59cb\u65f6\u95f4 (ISO\u683c\u5f0f\uff0c\u4f8b\u5982: 2023-07-03T14:30:00+08:00)\",\n \"topic_end_time\": \"\u8bdd\u9898\u7ed3\u675f\u65f6\u95f4 (ISO\u683c\u5f0f\uff0c\u4f8b\u5982: 2023-07-03T15:00:00+08:00)\",\n \"message_seqs\": [\"\u6784\u6210\u8be5\u8bdd\u9898\u7684\u6240\u6709\u6d88\u606f\u7684seq\u5217\u8868\uff0c\u4f8b\u5982: 1, 5, 8\"]\n }\n ]\n}\n\n\u91cd\u8981\uff1a\u53ea\u8fd4\u56de JSON\uff0c\u4e0d\u8981\u4efb\u4f55\u5176\u4ed6\u5185\u5bb9\u3002\n\n---\n### \u5f85\u5206\u6790\u7684\u804a\u5929\u8bb0\u5f55\n\n{{ JSON.stringify($json) }}", "hasOutputParser": true, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 560, 240 ], "id": "0c08e2ee-bb11-45c9-80ee-836b061bb6ef", "name": "Extract Topics (Low Cost AI)" }, { "parameters": { "schemaType": "manual", "inputSchema": "{\n \"$schema\": \"http://json-schema.org/draft-07/schema#\",\n \"type\": \"object\",\n \"required\": [\"analysis_id\", \"meta\", \"topics\"],\n \"properties\": {\n \"analysis_id\": {\n \"type\": \"string\",\n \"description\": \"\u552f\u4e00\u5206\u6790\u6807\u8bc6\u7b26\uff0c\u683c\u5f0f\u4e3a\u7fa4\u7ec4\u540d_\u65e5\u671f_\u65f6\u95f4\u6bb5_analysis\",\n \"pattern\": \"^.+_.+_.+_analysis$\"\n },\n \"meta\": {\n \"type\": \"object\",\n \"required\": [\"source\", \"date\", \"segment\", \"total_messages\"],\n \"properties\": {\n \"source\": {\n \"type\": \"string\",\n \"description\": \"\u6570\u636e\u6765\u6e90\u7684\u7fa4\u7ec4\u540d\u79f0\"\n },\n \"date\": {\n \"type\": \"string\",\n \"description\": \"\u5206\u6790\u65e5\u671f\",\n \"format\": \"date\"\n },\n \"segment\": {\n \"type\": \"string\",\n \"description\": \"\u65f6\u95f4\u6bb5\u6807\u8bc6\"\n },\n \"total_messages\": {\n \"type\": \"integer\",\n \"description\": \"\u6d88\u606f\u603b\u6570\u7edf\u8ba1\",\n \"minimum\": 0\n }\n }\n },\n \"topics\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"object\",\n \"required\": [\"topic_id\", \"topic_title\", \"topic_description\", \"is_off_topic\", \"topic_start_time\", \"topic_end_time\", \"message_seqs\"],\n \"properties\": {\n \"topic_id\": {\n \"type\": \"string\",\n \"description\": \"\u8bdd\u9898\u552f\u4e00\u6807\u8bc6\u7b26\"\n },\n \"topic_title\": {\n \"type\": \"string\",\n \"description\": \"\u8bdd\u9898\u6807\u9898\"\n },\n \"topic_description\": {\n \"type\": \"string\",\n \"description\": \"\u8bdd\u9898\u8be6\u7ec6\u63cf\u8ff0\uff0c\u5305\u542b\u5173\u952e\u8bcd\u548c\u4e3b\u8981\u5185\u5bb9\uff0c\u81f3\u5c1150\u5b57\",\n \"minLength\": 50\n },\n \"is_off_topic\": {\n \"type\": \"boolean\",\n \"description\": \"\u6807\u8bb0\u662f\u5426\u504f\u79bb\u4e3b\u9898\"\n },\n \"topic_start_time\": {\n \"type\": \"string\",\n \"description\": \"\u8bdd\u9898\u5f00\u59cb\u65f6\u95f4\",\n \"format\": \"date-time\"\n },\n \"topic_end_time\": {\n \"type\": \"string\",\n \"description\": \"\u8bdd\u9898\u7ed3\u675f\u65f6\u95f4\",\n \"format\": \"date-time\"\n },\n \"message_seqs\": {\n \"type\": \"array\",\n \"items\": {\n \"type\": \"string\",\n \"description\": \"\u6d88\u606f\u5e8f\u5217\u53f7\"\n },\n \"minItems\": 1\n }\n }\n },\n \"minItems\": 1\n }\n }\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.3, "position": [ 720, 420 ], "id": "3c1ff1c6-50d3-4b17-a925-56a188f4ba44", "name": "Structured Output Parser" }, { "parameters": { "jsCode": "// Author: Gemini\n// Date: 2025-07-04\n// Description: This version corrects the data access path within the .map() function.\n// It now correctly reads `item.json.output` based on the actual output from the LLM node,\n// resolving the 'Cannot read properties of undefined' error.\n\n/**\n * Robustly maps a segment string to a Chinese time segment name.\n * @param {string} segmentInput - The segment string, e.g., \"19:30-20:00\" or \"\u508d\u665a\".\n * @returns {string} The corresponding Chinese segment name, e.g., \"\u665a\u4e0a\".\n */\nfunction mapTimeToChineseSegment(segmentInput) {\n if (!segmentInput || typeof segmentInput !== 'string') {\n return \"\u672a\u77e5\u65f6\u6bb5\";\n }\n const startHour = parseInt(segmentInput.split(':')[0], 10);\n if (isNaN(startHour)) {\n return segmentInput;\n }\n if (startHour >= 0 && startHour < 6) return \"\u6df1\u591c\";\n if (startHour >= 6 && startHour < 9) return \"\u65e9\u6668\";\n if (startHour >= 9 && startHour < 12) return \"\u4e0a\u5348\";\n if (startHour >= 12 && startHour < 14) return \"\u4e2d\u5348\";\n if (startHour >= 14 && startHour < 18) return \"\u4e0b\u5348\";\n if (startHour >= 18 && startHour < 22) return \"\u665a\u4e0a\";\n if (startHour >= 22 && startHour <= 23) return \"\u6df1\u591c\";\n return \"\u672a\u77e5\u65f6\u6bb5\";\n}\n\n// --- Main Logic (Rebuilt) ---\n\n// **THE ONLY FIX IS ON THIS LINE**\n// Correctly access the data from the actual LLM output structure.\nconst analysisResults = items.map(item => item.json.output);\n\nif (!analysisResults || analysisResults.length === 0) {\n return { json: { error: \"Input data is empty or invalid.\" } };\n}\n\nconst all_topics = [];\nconst sources_info = {};\nconst segments_info = {};\nlet topic_counter = 1;\n\n// A single, robust loop to process all inputs and aggregate correctly.\nfor (const result of analysisResults) {\n if (!result || !result.topics || !Array.isArray(result.topics)) {\n continue;\n }\n\n const source_name = result.meta.source;\n const chinese_segment_name = mapTimeToChineseSegment(result.meta.segment);\n const created_at = result.created_at || new Date().toISOString();\n const segment_key = `${source_name}_${chinese_segment_name}`;\n\n // --- Step 1: Aggregate Metadata in Real-time ---\n if (!segments_info[segment_key]) {\n segments_info[segment_key] = {\n source_name: source_name,\n segment_name: chinese_segment_name,\n analysis_id: `${source_name}_${result.meta.date}_${chinese_segment_name}_analysis`,\n created_at: created_at,\n meta: {\n source: source_name,\n date: result.meta.date,\n segment: chinese_segment_name,\n total_messages: 0,\n },\n topics_count: 0,\n };\n }\n segments_info[segment_key].topics_count += result.topics.length;\n segments_info[segment_key].meta.total_messages += (result.meta.total_messages || 0);\n\n // --- Step 2: Process Topics and Link to the *Correct* Aggregated Metadata ---\n for (const topic of result.topics) {\n const topic_seq = topic.topic_seq || [];\n const message_count = topic_seq.length;\n\n const topic_data = {\n physical_id: `topic_${String(topic_counter).padStart(3, '0')}`,\n original_topic_id: topic.topic_id,\n topic_title: topic.topic_title,\n topic_description: topic.topic_description,\n is_off_topic: topic.is_off_topic,\n topic_seq: topic_seq,\n message_count: (topic.message_seqs || []).length,\n chat_count: (topic.message_seqs || []).length,\n topic_start_time: topic.topic_start_time || new Date().toISOString(),\n topic_end_time: topic.topic_end_time || new Date().toISOString(),\n source_name: source_name,\n segment_name: chinese_segment_name,\n analysis_id: segments_info[segment_key].analysis_id,\n created_at: created_at,\n analysis_meta: segments_info[segment_key].meta,\n };\n\n all_topics.push(topic_data);\n topic_counter++;\n }\n}\n\n// --- Step 3: Final Aggregation for sources_metadata (can be done after the loop) ---\nall_topics.forEach(topic => {\n if (!sources_info[topic.source_name]) {\n sources_info[topic.source_name] = { source_name: topic.source_name, segments: [], total_topics: 0 };\n }\n if (!sources_info[topic.source_name].segments.includes(topic.segment_name)) {\n sources_info[topic.source_name].segments.push(topic.segment_name);\n }\n});\nObject.keys(sources_info).forEach(sourceName => {\n sources_info[sourceName].total_topics = all_topics.filter(t => t.source_name === sourceName).length;\n});\n\n\n// --- Final Assembly ---\nconst on_topic_count = all_topics.filter(t => !t.is_off_topic).length;\nconst off_topic_count = all_topics.filter(t => t.is_off_topic).length;\nconst total_message_seqs = all_topics.reduce((sum, t) => sum + t.message_count, 0);\nconst total_original_messages = Object.values(segments_info).reduce((sum, s) => sum + s.meta.total_messages, 0);\nconst topics_by_source = Object.entries(sources_info).reduce((acc, [key, value]) => {\n acc[key] = value.total_topics;\n return acc;\n}, {});\n\nconst physical_merged = {\n step: \"2_topic_merged\",\n description: \"\u65f6\u95f4\u5206\u6bb5\u5206\u6790\u540e\u7684\u6240\u6709\u8bdd\u9898\u7269\u7406\u5408\u5e76\uff0c\u672a\u8fdb\u884c\u8bed\u4e49\u5408\u5e76\",\n merge_timestamp: new Date().toISOString(),\n merge_date: analysisResults[0]?.meta?.date || new Date().toISOString().split('T')[0],\n merge_type: \"physical\",\n total_topics: all_topics.length,\n total_sources: Object.keys(sources_info).length,\n total_segments: Object.keys(segments_info).length,\n all_topics: all_topics,\n sources_metadata: sources_info,\n segments_metadata: segments_info,\n statistics: {\n on_topic_count,\n off_topic_count,\n total_message_seqs,\n total_original_messages,\n topics_by_source\n }\n};\n\nreturn { json: physical_merged };" }, "id": "1ea63cbf-cd4f-4f95-8876-99fbae4b4bd8", "name": "Merge & Deduplicate Topics", "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 940, 280 ] }, { "parameters": { "promptType": "define", "text": "=\u4f60\u662f\u804a\u5929\u8bdd\u9898\u667a\u80fd\u5408\u5e76\u4e13\u5bb6\u3002\u4f60\u7684\u6838\u5fc3\u4efb\u52a1\u662f\u5206\u6790\u5df2\u7269\u7406\u5408\u5e76\u7684\u8bdd\u9898\u5217\u8868\uff0c\u627e\u51fa\u8bed\u4e49\u76f8\u5173\u7684\u8bdd\u9898\uff0c\u5e76\u8f93\u51fa\u4e00\u4e2a\u5305\u542b\u5408\u5e76\u5173\u7cfb\u548cAI\u603b\u7ed3\u5185\u5bb9\u7684\u65b0JSON\u3002\n\n### \u6838\u5fc3\u5408\u5e76\u539f\u5219 (\u5fc5\u987b\u4e25\u683c\u9075\u5b88)\n\n1. **\u8bed\u4e49\u4e3a\u738b**: \u5fc5\u987b\u57fa\u4e8e\u8bdd\u9898\u63cf\u8ff0 (`topic_description`) \u7684**\u6df1\u5c42\u8bed\u4e49**\u8fdb\u884c\u5408\u5e76\uff0c\u800c\u4e0d\u662f\u7b80\u5355\u7684\u5173\u952e\u8bcd\u5339\u914d\u3002\u4f8b\u5982\uff0c\u201cClaude\u8fde\u4e0d\u4e0a\u201d\u548c\u201c\u6211\u7684Claude\u4eca\u5929\u54cd\u5e94\u5f88\u6162\u201d\u5e94\u8be5\u5408\u5e76\uff0c\u4f46\u201cClaude\u4f7f\u7528\u6280\u5de7\u201d\u548c\u201cGemini\u4f7f\u7528\u6280\u5de7\u201d\u5219**\u7edd\u5bf9\u4e0d\u80fd**\u5408\u5e76\u3002\n2. **\u5408\u5e76\u6761\u4ef6**\uff1a\n - \u8bed\u4e49\u76f8\u4f3c\u5ea6 > 0.7\n - \u53c2\u4e0e\u8005\u91cd\u53e0\u5ea6 > 0.3\n - \u65f6\u95f4\u8de8\u5ea6\u5408\u7406\uff08\u4e0d\u8d85\u8fc74\u5c0f\u65f6\uff09\n3. **\u4fdd\u5b88\u7b56\u7565**: \n - \u5b81\u53ef\u4fdd\u7559\u66f4\u591a\u72ec\u7acb\u7684\u3001\u6709\u4ef7\u503c\u7684\u5c0f\u8bdd\u9898\uff0c\u4e5f\u7edd\u4e0d\u9519\u8bef\u5730\u5c06\u4e0d\u76f8\u5173\u7684\u8bdd\u9898\u5408\u5e76\u6210\u4e00\u4e2a\u6a21\u7cca\u7684\u5927\u6742\u70e9\u3002\n - \u5982\u679c\u4f60\u6ca1\u670970%\u4ee5\u4e0a\u7684\u628a\u63e1\uff0c\u5c31\u9009\u62e9\u4e0d\u5408\u5e76\u3002\n4. **\u8d28\u91cf\u63d0\u5347**: \n - \u5408\u5e76\u540e\u8bdd\u9898\u5e94\u8be5\u6bd4\u539f\u8bdd\u9898\u66f4\u6709\u4ef7\u503c\uff0c\u5176\u6807\u9898\u548c\u63cf\u8ff0\u5fc5\u987b\u6bd4\u539f\u59cb\u8bdd\u9898\u66f4\u5177\u4fe1\u606f\u91cf\u3001\u66f4\u7cbe\u70bc\u3001\u66f4\u80fd\u4f53\u73b0\u8ba8\u8bba\u7684\u7cbe\u534e\n - \u907f\u514d\u4e3a\u4e86\u5408\u5e76\u800c\u5408\u5e76\uff0c\u4fdd\u6301\u8bdd\u9898\u7684\u72ec\u7acb\u6027\n - \u5408\u5e76\u6570\u91cf\u63a7\u5236\u57282-4\u4e2a\u8bdd\u9898\u4e4b\u95f4\n\n### \u5185\u5bb9\u751f\u6210\u8981\u6c42\n\n1. **\u5408\u5e76\u540e\u6807\u9898 (`merged_title`)**: \u751f\u6210\u4e00\u4e2a\u5168\u65b0\u7684\u3001\u9ad8\u5ea6\u6982\u62ec\u7684\u3001\u80fd\u4f53\u73b0\u8ba8\u8bba\u6838\u5fc3\u7684\u7cbe\u786e\u6807\u9898\u3002\n2. **\u5408\u5e76\u540e\u63cf\u8ff0 (`merged_description`)**: **\u4e25\u683c\u57fa\u4e8e**\u6240\u6709\u88ab\u5408\u5e76\u8bdd\u9898\u7684**\u539f\u59cb\u5185\u5bb9**\u8fdb\u884c\u603b\u7ed3\u3002\u5fc5\u987b\u6e05\u6670\u5730\u8bf4\u660e\u8ba8\u8bba\u7684\u5b8c\u6574\u8109\u7edc\u3001\u6838\u5fc3\u89c2\u70b9\u3001\u4e3b\u8981\u95ee\u9898\u548c\u7ed3\u8bba\u3002**\u4e25\u7981**\u7f16\u9020\u3001\u81c6\u6d4b\u6216\u6dfb\u52a0\u4efb\u4f55\u539f\u59cb\u5bf9\u8bdd\u4e2d\u4e0d\u5b58\u5728\u7684\u4fe1\u606f\u3002**\u4e25\u7981**\u51fa\u73b0\u201c\u5408\u5e76\u4e86X\u4e2a\u8bdd\u9898\u201d\u8fd9\u79cd\u7a7a\u6d1e\u7684\u683c\u5f0f\u5316\u63cf\u8ff0\u3002\n3. **\u8bdd\u9898\u6807\u7b7e (`topic_tags`)**: \u5229\u7528\u4f60\u6700\u65b0\u7684\u77e5\u8bc6\u5e93\uff0c\u4e3a\u6bcf\u4e2a\u5408\u5e76\u540e\u7684\u8bdd\u9898\u751f\u62102-4\u4e2a\u4e0e\u65f6\u4ff1\u8fdb\u7684\u3001\u4e1a\u5185\u8ba4\u53ef\u7684\u6807\u7b7e\u3002\u4f8b\u5982\uff1a`RAG`, `Fine-tuning`, `AI Agent`, `Claude 3.5 Sonnet`, `n8n` \u7b49\u3002\n\n### \u7edd\u5bf9\u8f93\u51fa\u8981\u6c42 (\u6700\u91cd\u8981)\n\n1. **\u7eafJSON**: **\u53ea\u5141\u8bb8**\u8f93\u51fa\u6709\u6548\u7684JSON\u5bf9\u8c61\u3002\n2. **\u7981\u6b62Markdown**: **\u4e25\u7981**\u5728\u8f93\u51fa\u7684\u4efb\u4f55\u4f4d\u7f6e\u4f7f\u7528 ` ```json ` \u6216 ` ``` ` \u8fdb\u884c\u5305\u88f9\u3002\n3. **\u7981\u6b62\u89e3\u91ca**: **\u4e25\u7981**\u5728JSON\u5bf9\u8c61\u524d\u540e\u6dfb\u52a0\u4efb\u4f55\u5f62\u5f0f\u7684\u89e3\u91ca\u6027\u6587\u5b57\u6216\u6ce8\u91ca\u3002\n\n---\n### \u8f93\u51faJSON\u683c\u5f0f (\u4e25\u683c\u9075\u5b88\u6b64\u7ed3\u6784)\n\n\u4f60\u7684\u54cd\u5e94\u5fc5\u987b\u662f\u4e00\u4e2a\u6709\u6548\u7684 JSON \u5bf9\u8c61\uff0c\u4e14\u53ea\u80fd\u662f JSON \u5bf9\u8c61\u3002\u4e0d\u8981\u5305\u542b\u4efb\u4f55\u989d\u5916\u7684\u6587\u672c\u3001\u89e3\u91ca\u6216 Markdown \u4ee3\u7801\u5757\uff08\u4f8b\u5982\uff0c```json\uff09\u3002\n\n```json\n{\n \"merged_topics\": [\n {\n \"semantic_topic_id\": \"merged_001\",\n \"merged_title\": \"\u57fa\u4e8e\u8bed\u4e49\u5206\u6790\u7684\u7cbe\u786e\u6807\u9898\",\n \"merged_description\": \"\u7efc\u5408\u63cf\u8ff0\uff1a\u8be6\u7ec6\u8bf4\u660e\u5408\u5e76\u540e\u8bdd\u9898\u7684\u5b8c\u6574\u5185\u5bb9\u8109\u7edc\u3001\u6838\u5fc3\u89c2\u70b9\u3001\u8ba8\u8bba\u8303\u56f4\u548c\u4e3b\u8981\u7ed3\u8bba\u3002\",\n \"is_off_topic\": false,\n \"semantic_category\": \"\u8ba8\u8bba\u7c7b\u578b (\u4f8b\u5982: '\u95ee\u9898\u6c42\u52a9', '\u7ecf\u9a8c\u5206\u4eab', '\u6280\u672f\u63a2\u8ba8')\",\n \"topic_tags\": [\"AI\u751f\u6210\u6807\u7b7e1\", \"AI\u751f\u6210\u6807\u7b7e2\"],\n \"merged_from\": [\n {\n \"physical_id\": \"\u88ab\u5408\u5e76\u7684\u539f\u59cb\u8bdd\u9898ID (\u4f8b\u5982: topic_001)\",\n \"original_title\": \"\u88ab\u5408\u5e76\u7684\u539f\u59cb\u8bdd\u9898\u7684\u6807\u9898\"\n }\n ],\n \"relevance_score\": 0.85,\n \"confidence_level\": \"high\"\n }\n ],\n \"merge_metadata\": {\n \"merge_algorithm\": \"deep_semantic_analysis\",\n \"total_merges_performed\": 1,\n \"compression_achieved\": \"50%\"\n }\n}\n```\n\n---\n### \u5f85\u5206\u6790\u7684\u7269\u7406\u5408\u5e76\u540e\u7684\u8bdd\u9898\u6570\u636e\n\n{{ JSON.stringify($json) }}", "hasOutputParser": true, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 1220, 80 ], "id": "f091a273-6475-40a5-b7df-99d4fb12c1f1", "name": "AI Semantic Merge" }, { "parameters": { "jsonSchemaExample": "{\n \"merged_topics\": [\n {\n \"semantic_topic_id\": \"merged_001\",\n \"merged_title\": \"\u57fa\u4e8e\u8bed\u4e49\u5206\u6790\u7684\u7cbe\u786e\u6807\u9898\",\n \"merged_description\": \"\u7efc\u5408\u63cf\u8ff0\uff1a\u8be6\u7ec6\u8bf4\u660e\u5408\u5e76\u540e\u8bdd\u9898\u7684\u5b8c\u6574\u5185\u5bb9\u8109\u7edc\u3001\u6838\u5fc3\u89c2\u70b9\u3001\u8ba8\u8bba\u8303\u56f4\u548c\u4e3b\u8981\u7ed3\u8bba\u3002\",\n \"is_off_topic\": false,\n \"semantic_category\": \"\u8ba8\u8bba\u7c7b\u578b (\u4f8b\u5982: '\u95ee\u9898\u6c42\u52a9', '\u7ecf\u9a8c\u5206\u4eab', '\u6280\u672f\u63a2\u8ba8')\",\n \"topic_tags\": [\"AI\u751f\u6210\u6807\u7b7e1\", \"AI\u751f\u6210\u6807\u7b7e2\"],\n \"merged_from\": [\n {\n \"physical_id\": \"\u88ab\u5408\u5e76\u7684\u539f\u59cb\u8bdd\u9898ID (\u4f8b\u5982: topic_001)\",\n \"original_title\": \"\u88ab\u5408\u5e76\u7684\u539f\u59cb\u8bdd\u9898\u7684\u6807\u9898\"\n }\n ],\n \"relevance_score\": 0.85,\n \"confidence_level\": \"high\"\n }\n ],\n \"merge_metadata\": {\n \"merge_algorithm\": \"deep_semantic_analysis\",\n \"total_merges_performed\": 1,\n \"compression_achieved\": \"50%\"\n }\n}" }, "type": "@n8n/n8n-nodes-langchain.outputParserStructured", "typeVersion": 1.3, "position": [ 1420, 400 ], "id": "00c38755-66ab-4e1d-99f4-e096f8c1e2d7", "name": "Structured Output Parser1" }, { "parameters": { "content": "## \u667a\u80fd\u8bdd\u9898\u5f52\u5e76\n\n- \u5c06\u76f8\u4f3c\u6216\u76f8\u5173\u7684\u8bdd\u9898\u8fdb\u884c\u667a\u80fd\u5408\u5e76\uff0c\u5f62\u6210\u66f4\u5b8f\u89c2\u3001\u6709\u610f\u4e49\u7684\u8bdd\u9898\u3002\n- \u5c06\u6240\u6709\u5904\u7406\u8fc7\u7684\u8bdd\u9898\u6570\u636e\u7ec4\u88c5\u6210\u6700\u7ec8\u62a5\u544a\u6240\u9700\u7684\u7ed3\u6784\u6216\u5185\u5bb9\u3002\n", "height": 740, "width": 620, "color": 4 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 1160, -200 ], "id": "dc05f681-cd26-4761-8823-41101dd488f9", "name": "Sticky Note3" }, { "parameters": { "jsCode": "// Author: Gemini\n// Date: 2025-07-05\n// Description: This version integrates all_links, active_users, and raw_message_sample\n// from upstream nodes into the final report structure.\n\n/**\n * Robustly maps a segment string to a Chinese time segment name.\n * This function is likely from an upstream node, but included for completeness if needed.\n * @param {string} segmentInput - The segment string, e.g., \"19:30-20:00\" or \"\u508d\u665a\".\n * @returns {string} The corresponding Chinese segment name, e.g., \"\u665a\u4e0a\".\n */\nfunction mapTimeToChineseSegment(segmentInput) {\n if (!segmentInput || typeof segmentInput !== 'string') {\n return \"\u672a\u77e5\u65f6\u6bb5\";\n }\n const startHour = parseInt(segmentInput.split(':')[0], 10);\n if (isNaN(startHour)) {\n return segmentInput;\n }\n if (startHour >= 0 && startHour < 6) return \"\u6df1\u591c\";\n if (startHour >= 6 && startHour < 9) return \"\u65e9\u6668\";\n if (startHour >= 9 && startHour < 12) return \"\u4e0a\u5348\";\n if (startHour >= 12 && startHour < 14) return \"\u4e2d\u5348\";\n if (startHour >= 14 && startHour < 18) return \"\u4e0b\u5348\";\n if (startHour >= 18 && startHour < 22) return \"\u665a\u4e0a\";\n if (startHour >= 22 && startHour <= 23) return \"\u6df1\u591c\";\n return \"\u672a\u77e5\u65f6\u6bb5\";\n}\n\n// --- Main Logic ---\n\n// Step 1: Get the required data sources\n// $input.first() refers to the first input connected to this node (likely \"AI Semantic Merge\")\nconst aiMergeResult = $input.first().json.output;\n// $('Node Name') refers to data from a specific node by its name\nconst physicalMergeResult = $('Merge & Deduplicate Topics').first().json;\n\n// Get data from the newly added nodes\n// Ensure 'Extract Links & Active Users' is the exact name of your node in n8n\nconst linksAndUsersData = $('Extract Links & Active Users').first().json;\nconst all_links = linksAndUsersData.all_links;\nconst active_users = linksAndUsersData.active_users;\n\n// Ensure 'Prepare Raw Message Sample' is the exact name of your node in n8n\nconst rawSampleData = $('Prepare Raw Message Sample').first().json;\nconst raw_message_sample = rawSampleData.raw_message_sample;\n\n\nif (!aiMergeResult || !physicalMergeResult || !linksAndUsersData || !rawSampleData) {\n return { json: { error: \"Missing one or more required inputs. Check node connections and names.\" } };\n}\n\n// Step 2: Create a fast lookup map for all original topics\nconst allTopicsMap = new Map(physicalMergeResult.all_topics.map(t => [t.physical_id, t]));\n\n// Step 3: Iterate through the AI's decisions and assemble the enriched topics\nconst enhanced_merged_topics = [];\nfor (const aiTopic of aiMergeResult.merged_topics) {\n const combined_seqs_nested = [];\n const seq_source_mapping = {};\n\n for (const source of aiTopic.merged_from) {\n const physical_id = source.physical_id;\n const originalTopic = allTopicsMap.get(physical_id);\n\n if (originalTopic) {\n combined_seqs_nested.push(originalTopic.topic_seq);\n for (const seq of originalTopic.topic_seq) {\n if (!seq_source_mapping[seq]) {\n seq_source_mapping[seq] = {\n source_name: originalTopic.source_name,\n segment_name: originalTopic.segment_name,\n analysis_id: originalTopic.analysis_id,\n topic_start_time: originalTopic.topic_start_time,\n topic_end_time: originalTopic.topic_end_time\n };\n }\n }\n }\n }\n\n // Flatten combined_seqs_nested and remove duplicates\n const combined_message_seqs = [...new Set(combined_seqs_nested.flat())].sort((a, b) => a - b);\n\n // Calculate total_combined_messages and chat_count\n const total_combined_messages = combined_message_seqs.length;\n const chat_count = total_combined_messages; // Assuming chat_count is same as message count for now\n\n // Determine message_time_range\n let earliest_seq_time = null;\n let latest_seq_time = null;\n\n if (combined_message_seqs.length > 0) {\n // Find the earliest and latest time from the original messages based on seq\n // This requires access to the original messages from \"Parse & Structure Data\"\n // For simplicity, we'll use the topic_start_time and topic_end_time from originalTopic\n // as provided by \"Merge & Deduplicate Topics\" node.\n // If more granular message-level time is needed, you'd need to pass the full\n // original messages array or a lookup map from \"Parse & Structure Data\" node.\n\n // For now, we'll use the min/max of the original topics' start/end times\n let minTime = Infinity;\n let maxTime = -Infinity;\n\n for (const source of aiTopic.merged_from) {\n const originalTopic = allTopicsMap.get(source.physical_id);\n if (originalTopic) {\n const startTime = new Date(originalTopic.topic_start_time).getTime();\n const endTime = new Date(originalTopic.topic_end_time).getTime();\n if (startTime < minTime) minTime = startTime;\n if (endTime > maxTime) maxTime = endTime;\n }\n }\n earliest_seq_time = minTime !== Infinity ? new Date(minTime).toISOString() : null;\n latest_seq_time = maxTime !== -Infinity ? new Date(maxTime).toISOString() : null;\n }\n\n\n enhanced_merged_topics.push({\n semantic_topic_id: aiTopic.semantic_topic_id,\n merged_title: aiTopic.merged_title,\n merged_description: aiTopic.merged_description,\n is_off_topic: aiTopic.is_off_topic,\n semantic_category: aiTopic.semantic_category,\n topic_tags: aiTopic.topic_tags,\n merged_from: aiTopic.merged_from,\n relevance_score: aiTopic.relevance_score,\n confidence_level: aiTopic.confidence_level,\n combined_message_seqs: combined_message_seqs,\n total_combined_messages: total_combined_messages,\n chat_count: chat_count,\n seq_source_mapping: seq_source_mapping,\n message_time_range: {\n earliest_seq: combined_message_seqs.length > 0 ? combined_message_seqs[0] : null,\n latest_seq: combined_message_seqs.length > 0 ? combined_message_seqs[combined_message_seqs.length - 1] : null,\n seq_count: combined_message_seqs.length,\n earliest_time: earliest_seq_time, // Use calculated earliest time\n latest_time: latest_seq_time // Use calculated latest time\n }\n });\n}\n\n// Prepare the final output\nconst now = new Date();\nreturn [{\n json: {\n merge_timestamp: now.toISOString(),\n merge_date: now.toISOString().split('T')[0], // Just the date part\n merge_type: \"semantic\",\n original_topics_count: physicalMergeResult.all_topics.length,\n merged_topics_count: enhanced_merged_topics.length,\n compression_ratio: (1 - enhanced_merged_topics.length / physicalMergeResult.all_topics.length) * 100,\n merged_topics: enhanced_merged_topics,\n merge_metadata: aiMergeResult.merge_metadata,\n original_statistics: physicalMergeResult.statistics,\n sources_metadata: physicalMergeResult.sources_metadata,\n segments_metadata: physicalMergeResult.segments_metadata,\n global_seq_index: physicalMergeResult.global_seq_index, // Ensure this field exists and is passed\n\n // Newly added fields\n all_links: all_links,\n active_users: active_users,\n raw_message_sample: raw_message_sample\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 1600, 80 ], "id": "0299a2da-cfe5-47ff-9b49-57c387020ae2", "name": "Assemble Final Report" }, { "parameters": { "jsCode": "// \u83b7\u53d6AI Agent\u7684\u8f93\u51fa\nlet aiOutput;\ntry {\n // \u9996\u5148\u68c0\u67e5\u8f93\u5165\u6570\u636e\u7ed3\u6784\n const inputData = $input.first().json;\n console.log('Input data structure:', JSON.stringify(inputData, null, 2));\n \n // \u5c1d\u8bd5\u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u8def\u5f84\n if (inputData.choices && inputData.choices[0] && inputData.choices[0].message) {\n // OpenAI API \u6807\u51c6\u683c\u5f0f\n aiOutput = inputData.choices[0].message.content;\n } else if (inputData.message && inputData.message.content) {\n // \u7b80\u5316\u7684\u6d88\u606f\u683c\u5f0f\n aiOutput = inputData.message.content;\n } else if (inputData.content) {\n // \u76f4\u63a5\u5185\u5bb9\u683c\u5f0f\n aiOutput = inputData.content;\n } else if (inputData.output) {\n // \u8f93\u51fa\u5b57\u6bb5\u683c\u5f0f\n aiOutput = inputData.output;\n } else if (typeof inputData === 'string') {\n // \u7eaf\u5b57\u7b26\u4e32\u683c\u5f0f\n aiOutput = inputData;\n } else {\n // \u5982\u679c\u90fd\u627e\u4e0d\u5230\uff0c\u5c1d\u8bd5\u627e\u5230\u7b2c\u4e00\u4e2a\u5b57\u7b26\u4e32\u503c\n const findStringValue = (obj) => {\n if (typeof obj === 'string') return obj;\n if (Array.isArray(obj)) {\n for (const item of obj) {\n const result = findStringValue(item);\n if (result) return result;\n }\n } else if (typeof obj === 'object' && obj !== null) {\n for (const key in obj) {\n const result = findStringValue(obj[key]);\n if (result) return result;\n }\n }\n return null;\n };\n \n aiOutput = findStringValue(inputData);\n \n if (!aiOutput) {\n throw new Error('\u65e0\u6cd5\u5728\u8f93\u5165\u6570\u636e\u4e2d\u627e\u5230AI\u8f93\u51fa\u5185\u5bb9');\n }\n }\n \n console.log('Found AI output:', aiOutput.substring(0, 200) + '...');\n \n} catch (error) {\n console.error('\u83b7\u53d6AI\u8f93\u51fa\u65f6\u51fa\u9519:', error);\n return [{\n json: {\n error: '\u65e0\u6cd5\u83b7\u53d6AI\u8f93\u51fa: ' + error.message,\n inputData: $input.first().json,\n status: 'error'\n }\n }];\n}\n\n// \u6e05\u7406\u53ef\u80fd\u7684markdown\u6807\u8bb0\nlet htmlContent = aiOutput;\nif (htmlContent.includes('```html')) {\n htmlContent = htmlContent.replace(/```html\\n?/g, '').replace(/\\n?```/g, '');\n}\nif (htmlContent.includes('```')) {\n htmlContent = htmlContent.replace(/```\\n?/g, '').replace(/\\n?```/g, '');\n}\n\n// \u83b7\u53d6\u7fa4\u804a\u540d\u79f0\u548c\u65e5\u671f\uff08\u4ece\u5de5\u4f5c\u6d41\u8f93\u5165\u6216\u8bbe\u7f6e\u9ed8\u8ba4\u503c\uff09\nconst groupName = $('ConfigureChatParameters').first().json.group_name || 'unknown';\nconst date = $('ConfigureChatParameters').first().json.date || new Date().toISOString().split('T')[0];\n\nconsole.log('\u7fa4\u804a\u4fe1\u606f:', { groupName, date });\n\n// \ud83d\udd25 \u6539\u8fdb\uff1a\u667a\u80fdHTML\u5185\u5bb9\u6e05\u7406 - \u4fdd\u62a4\u56fe\u8868\u548c\u811a\u672c\u5185\u5bb9\nconsole.log('\u5f00\u59cbHTML\u6e05\u7406\uff0c\u539f\u59cb\u957f\u5ea6:', htmlContent.length);\n\n// \u667a\u80fd\u6e05\u7406HTML\u5185\u5bb9\uff0c\u4fdd\u62a4\u91cd\u8981\u7684\u4ee3\u7801\u533a\u57df\nconst smartCleanHtmlForMCP = (html) => {\n // 1. \u9996\u5148\u4fdd\u62a4\u91cd\u8981\u7684\u4ee3\u7801\u533a\u57df\n const protectedSections = [];\n let cleanedHtml = html;\n \n // \u4fdd\u62a4 script \u6807\u7b7e\u5185\u5bb9\uff08\u5305\u62ec mermaid, chart.js \u7b49\uff09\n cleanedHtml = cleanedHtml.replace(/]*>[\\s\\S]*?<\\/script>/gi, (match, offset) => {\n const placeholder = `__PROTECTED_SCRIPT_${protectedSections.length}__`;\n protectedSections.push(match);\n return placeholder;\n });\n \n // \u4fdd\u62a4 style \u6807\u7b7e\u5185\u5bb9\n cleanedHtml = cleanedHtml.replace(/]*>[\\s\\S]*?<\\/style>/gi, (match, offset) => {\n const placeholder = `__PROTECTED_STYLE_${protectedSections.length}__`;\n protectedSections.push(match);\n return placeholder;\n });\n \n // \u4fdd\u62a4 pre \u6807\u7b7e\u5185\u5bb9\uff08\u53ef\u80fd\u5305\u542b\u56fe\u8868\u5b9a\u4e49\uff09\n cleanedHtml = cleanedHtml.replace(/]*>[\\s\\S]*?<\\/pre>/gi, (match, offset) => {\n const placeholder = `__PROTECTED_PRE_${protectedSections.length}__`;\n protectedSections.push(match);\n return placeholder;\n });\n \n // \u4fdd\u62a4\u5177\u6709\u7279\u6b8aclass\u7684div\uff08\u5982mermaid\u56fe\u8868\u5bb9\u5668\uff09\n cleanedHtml = cleanedHtml.replace(/]*class=\"[^\"]*(?:mermaid|chart|graph|diagram)[^\"]*\"[^>]*>[\\s\\S]*?<\\/div>/gi, (match, offset) => {\n const placeholder = `__PROTECTED_CHART_${protectedSections.length}__`;\n protectedSections.push(match);\n return placeholder;\n });\n \n // 2. \u5bf9\u5176\u4f59\u5185\u5bb9\u8fdb\u884c\u6e05\u7406\n cleanedHtml = cleanedHtml\n // \u53ea\u6e05\u7406\u666e\u901a\u7684\u6362\u884c\u7b26\u548c\u5236\u8868\u7b26\uff0c\u4f46\u4fdd\u7559\u5fc5\u8981\u7684\u683c\u5f0f\n .replace(/[\\r]/g, '') // \u79fb\u9664\u56de\u8f66\u7b26\n .replace(/\\n\\s*\\n/g, '\\n') // \u5c06\u591a\u4e2a\u6362\u884c\u5408\u5e76\u4e3a\u4e00\u4e2a\n .replace(/\\t/g, ' ') // \u5c06\u5236\u8868\u7b26\u8f6c\u6362\u4e3a\u4e24\u4e2a\u7a7a\u683c\n // \u6e05\u7406HTML\u6807\u7b7e\u95f4\u7684\u591a\u4f59\u7a7a\u683c\uff0c\u4f46\u4e0d\u5f71\u54cd\u6587\u672c\u5185\u5bb9\n .replace(/>\\s+<')\n // \u6e05\u7406\u884c\u9996\u884c\u5c3e\u7a7a\u683c\n .replace(/^\\s+|\\s+$/gm, '')\n // \u5c06\u591a\u4e2a\u8fde\u7eed\u7a7a\u683c\u5408\u5e76\uff0c\u4f46\u4fdd\u7559\u5355\u4e2a\u6362\u884c\n .replace(/ +/g, ' ');\n \n // 3. \u6062\u590d\u53d7\u4fdd\u62a4\u7684\u5185\u5bb9\n protectedSections.forEach((section, index) => {\n const scriptPlaceholder = `__PROTECTED_SCRIPT_${index}__`;\n const stylePlaceholder = `__PROTECTED_STYLE_${index}__`;\n const prePlaceholder = `__PROTECTED_PRE_${index}__`;\n const chartPlaceholder = `__PROTECTED_CHART_${index}__`;\n \n cleanedHtml = cleanedHtml.replace(scriptPlaceholder, section);\n cleanedHtml = cleanedHtml.replace(stylePlaceholder, section);\n cleanedHtml = cleanedHtml.replace(prePlaceholder, section);\n cleanedHtml = cleanedHtml.replace(chartPlaceholder, section);\n });\n \n // 4. \u6700\u540e\u53ea\u5bf9JSON\u4f20\u8f93\u505a\u5fc5\u8981\u7684\u8f6c\u4e49\n return cleanedHtml\n .replace(/\\\\/g, '\\\\\\\\') // \u8f6c\u4e49\u53cd\u659c\u6760\n .replace(/\"/g, '\\\\\"'); // \u8f6c\u4e49\u53cc\u5f15\u53f7\n};\n\n// \u5e94\u7528\u667a\u80fd\u6e05\u7406\nconst originalHtmlContent = htmlContent;\nhtmlContent = smartCleanHtmlForMCP(htmlContent);\n\nconsole.log('\u667a\u80fdHTML\u6e05\u7406\u5b8c\u6210');\nconsole.log('- \u539f\u59cb\u957f\u5ea6:', originalHtmlContent.length);\nconsole.log('- \u6e05\u7406\u540e\u957f\u5ea6:', htmlContent.length);\nconsole.log('- \u8282\u7701\u7a7a\u95f4:', originalHtmlContent.length - htmlContent.length, 'bytes');\n\n// \u68c0\u67e5\u662f\u5426\u5305\u542b\u56fe\u8868\u76f8\u5173\u5185\u5bb9\nconst hasCharts = originalHtmlContent.match(/(mermaid|chart\\.js|echarts|d3\\.js|plotly|canvas|svg)/i);\nif (hasCharts) {\n console.log('\u2705 \u68c0\u6d4b\u5230\u56fe\u8868\u5185\u5bb9\uff0c\u5df2\u5e94\u7528\u4fdd\u62a4\u6027\u6e05\u7406');\n} else {\n console.log('\u2139\ufe0f \u672a\u68c0\u6d4b\u5230\u56fe\u8868\u5185\u5bb9');\n}\n\n// \u9a8c\u8bc1HTML\u6587\u6863\u5b8c\u6574\u6027\nif (!htmlContent.includes('')) {\n console.error('AI\u8f93\u51fa\u4e0d\u662f\u5b8c\u6574\u7684HTML\u6587\u6863');\n return [{\n json: {\n error: 'AI\u8f93\u51fa\u4e0d\u662f\u5b8c\u6574\u7684HTML\u6587\u6863',\n receivedContent: htmlContent.substring(0, 500),\n status: 'error'\n }\n }];\n}\n\n// \u989d\u5916\u7684HTML\u5185\u5bb9\u9a8c\u8bc1\nconst validateHtml = (html) => {\n const checks = {\n hasDoctype: html.includes(''),\n hasHtmlTag: html.includes(''),\n hasHeadTag: html.includes(''),\n hasBodyTag: html.includes(''),\n hasTitle: html.includes(' 100,\n hasChartLibraries: /(?:mermaid|chart\\.js|echarts|d3\\.js|plotly)/i.test(html)\n };\n \n const passed = Object.values(checks).filter(Boolean).length;\n const total = Object.keys(checks).length;\n \n console.log('HTML\u9a8c\u8bc1\u7ed3\u679c:', checks);\n console.log(`HTML\u8d28\u91cf\u8bc4\u5206: ${passed}/${total}`);\n \n return { checks, score: passed / total };\n};\n\nconst validation = validateHtml(htmlContent);\n\n// \u751f\u6210\u6587\u4ef6\u540d - \u4f7f\u7528\u7fa4\u804a\u540d\u79f0\u548c\u65e5\u671f\nconst filename = `\u7fa4\u804a\u65e5\u62a5-${groupName}-${date}.html`;\nconst safeFilename = filename.replace(/[^a-z0-9\\u4e00-\\u9fa5_\\-\\.]/gi, '_');\n\nconsole.log('\u6587\u4ef6\u540d\u751f\u6210:', { \n original: filename, \n safe: safeFilename,\n groupName: groupName,\n date: date \n});\n\n// \u751f\u6210\u6e05\u7406\u540e\u7684HTML\u7528\u4e8eMCP\u5de5\u5177\nconst mcpReadyHtml = htmlContent;\n\n// \u8ba1\u7b97\u5904\u7406\u65f6\u957f\nlet processDuration = null;\ntry {\n const startTime = $('\u9a8c\u8bc1\u8f93\u5165\u53c2\u6570').item.json.process_start_time;\n if (startTime) {\n const startDate = new Date(startTime);\n const endDate = new Date();\n // \u8ba1\u7b97\u79d2\u6570\u5dee\n processDuration = Math.round((endDate - startDate) / 1000);\n }\n} catch (e) {\n console.log('\u8ba1\u7b97\u5904\u7406\u65f6\u957f\u5931\u8d25:', e.message);\n processDuration = null;\n}\n\n\n// \u8fd4\u56de\u5904\u7406\u7ed3\u679c - \u5305\u542b\u4e24\u4e2a\u7248\u672c\u7684HTML\nreturn [{\n json: {\n // \u539f\u59cbHTML\uff08\u7528\u4e8e\u6587\u4ef6\u4fdd\u5b58\uff09\n htmlContent: originalHtmlContent,\n // \u6e05\u7406\u540e\u7684HTML\uff08\u7528\u4e8eMCP\u5de5\u5177\u8c03\u7528\uff09\n mcpHtmlContent: mcpReadyHtml,\n // \u6587\u4ef6\u4fe1\u606f - \u4f7f\u7528\u7fa4\u804a\u540d\u79f0\n filename: safeFilename,\n originalFilename: filename,\n groupName: groupName,\n date: date,\n process_end_time: $now.toISO(),\n process_duration: processDuration,\n timestamp: new Date().toISOString(),\n status: 'success',\n // \u7edf\u8ba1\u4fe1\u606f\n originalContentLength: originalHtmlContent.length,\n cleanedContentLength: mcpReadyHtml.length,\n compressionRatio: ((originalHtmlContent.length - mcpReadyHtml.length) / originalHtmlContent.length * 100).toFixed(2) + '%',\n // HTML\u8d28\u91cf\u4fe1\u606f\n htmlValidation: validation,\n hasChartContent: hasCharts !== null,\n // \u8c03\u8bd5\u4fe1\u606f\n processingSteps: [\n '\u2705 AI\u8f93\u51fa\u89e3\u6790\u6210\u529f',\n '\u2705 Markdown\u6e05\u7406\u5b8c\u6210', \n '\u2705 \u667a\u80fdHTML\u6e05\u7406\u5b8c\u6210\uff08\u4fdd\u62a4\u56fe\u8868\uff09',\n '\u2705 MCP\u683c\u5f0f\u4f18\u5316\u5b8c\u6210',\n `\u2705 HTML\u9a8c\u8bc1\u5b8c\u6210 (${(validation.score * 100).toFixed(1)}%)`,\n `\u2705 \u6587\u4ef6\u540d\u751f\u6210\u5b8c\u6210: ${safeFilename}`\n ]\n },\n binary: {\n data: {\n data: Buffer.from(originalHtmlContent, 'utf8').toString('base64'),\n mimeType: 'text/html',\n fileName: safeFilename,\n fileExtension: 'html'\n }\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 2200, 80 ], "id": "699fd2d2-fdc8-4bd7-9a14-1db30edd2229", "name": "\u5904\u7406AI\u8f93\u51fa" }, { "parameters": { "content": "## \u6700\u7ec8HTML\u5185\u5bb9\u5904\u7406\n", "height": 740, "width": 780, "color": 7 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ 1820, -200 ], "id": "59446f38-5c4e-4778-a707-95c396cccc60", "name": "Sticky Note5" }, { "parameters": { "jsCode": "// Node: Extract Links & Active Users\n// Input: Output from \"Parse & Structure Data\" node (single JSON object with sources.messages)\n// Output: JSON with all_links array (objects with url, sender, time, context) and active_users array\n\nconst inputData = $input.first().json; // Get the single item from \"Parse & Structure Data\"\n\n\nif (!inputData || !inputData.sources) {\n console.log(\"Input data is missing structuredData or sources field.\");\n return { json: { all_links: [], active_users: [] } };\n}\n\n// Assuming only one source, get its messages list\nconst sourceName = Object.keys(inputData.sources)[0];\nconst allMessages = inputData.sources[sourceName].messages;\n\nif (!allMessages || allMessages.length === 0) {\n console.log(\"No messages found in structured data.\");\n return { json: { all_links: [], active_users: [] } };\n}\n\nconst allLinks = []; // Now an array of objects\nconst senderMessageCounts = {}; // Store message counts for active users\n\n// Regex for raw URLs (http or https)\nconst rawUrlRegex = /(https?:\\/\\/[^\\s]+)/g;\n// Regex for [\u94fe\u63a5|URL] format\nconst formattedLinkRegex = /\\[\u94fe\u63a5\\|(https?:\\/\\/[^\\]]+)\\]/g;\n\nconsole.log(`Processing ${allMessages.length} messages.`);\n\nfor (const message of allMessages) {\n const senderName = message.sender_name;\n const messageTime = message.time;\n const messageContent = message.content;\n\n //console.log(`--- Processing Message ---`);\n //console.log(`Raw senderName: '${senderName}'`);\n //console.log(`Message content: '${messageContent}'`);\n\n // Check senderName validity for active users\n const isValidSender = senderName && senderName.trim() !== '' && senderName !== '\u7cfb\u7edf\u6d88\u606f';\n \n\n if (messageContent) {\n const extractedUrls = []; // Temporarily store all URLs found in this message\n let linkMatch;\n \n // Extract raw URLs\n rawUrlRegex.lastIndex = 0; // Reset regex lastIndex for global regex\n while ((linkMatch = rawUrlRegex.exec(messageContent)) !== null) {\n extractedUrls.push(linkMatch[0]);\n }\n\n // Extract formatted links [\u94fe\u63a5|URL]\n formattedLinkRegex.lastIndex = 0; // Reset regex lastIndex for global regex\n while ((linkMatch = formattedLinkRegex.exec(messageContent)) !== null) {\n extractedUrls.push(linkMatch[1]);\n }\n\n for (const url of extractedUrls) {\n // Check if this URL is part of an image or video markdown\n const isImageOrVideoLink = messageContent.includes(`![\u56fe\u7247]`) || messageContent.includes(`![\u89c6\u9891]`);\n if (!isImageOrVideoLink) {\n //console.log(`Found valid link: ${url}`);\n allLinks.push({\n url: url,\n sender: senderName,\n time: messageTime,\n context: messageContent\n });\n } else {\n console.log(`Excluded image/video link: ${url}`);\n }\n }\n }\n\n // Count active users (only for valid senders)\n if (isValidSender) {\n //console.log(`Counting message for sender: ${senderName}`);\n senderMessageCounts[senderName] = (senderMessageCounts[senderName] || 0) + 1;\n }\n}\n\nconsole.log(`Final allLinks count: ${allLinks.length}`);\nconsole.log(`Final activeUsers count: ${Object.keys(senderMessageCounts).length}`);\n\n// Convert senderMessageCounts to active_users array and sort\nconst activeUsers = Object.entries(senderMessageCounts)\n .map(([sender_name, message_count]) => ({ sender_name, message_count }))\n .sort((a, b) => b.message_count - a.message_count); // Sort in descending order by message_count\n\nreturn [{\n json: {\n all_links: allLinks,\n active_users: activeUsers\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 480, -100 ], "id": "63f36a48-ba52-4392-9a16-e66a0d41ce6c", "name": "Extract Links & Active Users" }, { "parameters": { "jsCode": "// Node: Prepare Raw Message Sample\n// Input: Output from \"Parse & Structure Data\" node (\u5355\u4e2a JSON \u5bf9\u8c61\uff0c\u5305\u542b sources.messages)\n// Output: JSON with raw_message_sample \u6570\u7ec4\n\nconst structuredData = $('Parse & Structure Data').first().json; // \u83b7\u53d6\u4e0a\u6e38\u8282\u70b9\u7684\u5355\u4e2a\u6570\u636e\u9879\n\nif (!structuredData || !structuredData.sources) {\n console.log(\"\u8f93\u5165\u6570\u636e\u7f3a\u5c11 structuredData \u6216 sources \u5b57\u6bb5\u3002\");\n return { json: { raw_message_sample: [] } };\n}\n\n// \u5047\u8bbe\u53ea\u6709\u4e00\u4e2a source\uff0c\u83b7\u53d6\u5176\u6d88\u606f\u5217\u8868\nconst sourceName = Object.keys(structuredData.sources)[0];\nconst allMessages = structuredData.sources[sourceName].messages;\n\nif (!allMessages || allMessages.length === 0) {\n console.log(\"\u7ed3\u6784\u5316\u6570\u636e\u4e2d\u672a\u627e\u5230\u6d88\u606f\u3002\");\n return { json: { raw_message_sample: [] } };\n}\n\n// \u63d0\u53d6\u6d88\u606f\u6837\u672c\u3002\n// \u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u91c7\u6837\u903b\u8f91\uff08\u4f8b\u5982\uff0c\u968f\u673a\u91c7\u6837\uff0c\u66f4\u591a\u6d88\u606f\uff09\u3002\nconst rawMessageSample = allMessages.map(msg => ({\n sender_name: msg.sender_name,\n time: msg.time,\n content: msg.content\n}));\n\nreturn [{\n json: {\n raw_message_sample: rawMessageSample\n }\n}];" }, "type": "n8n-nodes-base.code", "typeVersion": 2, "position": [ 680, -100 ], "id": "46a817d3-6fb4-4d3e-b991-3b098d0bb005", "name": "Prepare Raw Message Sample" }, { "parameters": { "assignments": { "assignments": [ { "id": "6dab17d2-2e5e-40e3-b5d9-0abcdac0dde8", "name": "date", "value": "={{ $now.minus({days: 1}).format('yyyy-MM-dd') }}", "type": "string" }, { "id": "c2a2eec2-4ead-4544-83db-73aba917f553", "name": "group_name", "value": "n8n\u81ea\u52a8\u5316\u5b9e\u6218\u4ea4\u6d41\u7fa4", "type": "string" }, { "id": "0bcb4528-e474-4fe9-ada8-ebc125a809be", "name": "group_owner", "value": "LQ", "type": "string" }, { "id": "d98a1539-81e4-45d3-8602-e81815516a7c", "name": "web_style_template", "value": "\n\n\n \n \n [\u5728\u6b64\u5904\u586b\u5199\u62a5\u544a\u6807\u9898] - [\u65e5\u671f]\n \n \n \n \n \n \n \n \n \n\n\n
\n
\n

[\u4e3b\u62a5\u544a\u6807\u9898 - \u4f8b\u5982\uff1aAI\u4ea7\u54c1\u56e2\u65e5\u62a5]

\n
[\u65e5\u671f - \u4f8b\u5982\uff1a2025\u5e745\u670819\u65e5]
\n
\n \n \n \u6d88\u606f\u6570: [\u6570\u5b57]+\n \u6d3b\u8dc3\u7528\u6237: [\u6570\u5b57]+\n \u70ed\u70b9\u8bdd\u9898: [\u6570\u5b57]\n \n \n
\n

[\u5728\u6b64\u5904\u586b\u5199\u5f53\u65e5\u8ba8\u8bba\u7684\u603b\u4f53\u6458\u8981\u3002\u4fdd\u6301\u7b80\u6d01\u660e\u4e86\uff0c\u7a81\u51fa\u7fa4\u7ec4\u7684\u4e3b\u8981\u4e3b\u9898\u548c\u6c1b\u56f4\u3002]

\n \n
\n\n\n\n
\n \n \n
\n
\n

[\u4e3b\u98981\u6807\u9898]

\n
[\u5206\u7c7b1 - \u4f8b\u5982\uff1a\u5de5\u5177\u6280\u5de7]
\n
\n
\n

\u5173\u4e8e[\u8bdd\u9898\u5173\u952e\u8bcd]\u7684\u8ba8\u8bba\u5f15\u53d1\u4e86\u7fa4\u5185\u6210\u5458\u7684\u5e7f\u6cdb\u5173\u6ce8\uff0c\u5927\u5bb6\u4ece\u4e0d\u540c\u89d2\u5ea6\u5206\u4eab\u4e86\u5404\u81ea\u7684\u89c2\u70b9\u548c\u7ecf\u9a8c\u3002

\n
\n
\n \n \n
\n \u23f0\n [\u5f00\u59cb\u65f6\u95f4] - [\u7ed3\u675f\u65f6\u95f4]\n \u2022 \u8be5\u8bdd\u9898\u7684\u805a\u5408\u5bf9\u8bdd\n
\n \n \n \n \n
\n
\n @[\u7528\u6237\u540d]\n [\u76f8\u5bf9\u65f6\u95f4]\n
\n [\u7528\u6237\u7684\u5177\u4f53\u804a\u5929\u5185\u5bb9]\n
\n \n \n
\n \n
\n \n
\n
\n
\n [ChatGPT]\n [\u6280\u672f\u95ee\u9898]\n [\u6027\u80fd\u4f18\u5316]\n
\n
\u76f8\u5173\u6d88\u606f: [\u603b\u6570\u91cf]\u6761
\n
\n \n
\n \n \n \n
\n\n
\n
\n

\u6838\u5fc3\u6982\u5ff5\u5173\u7cfb\u56fe

\n
\n \n \n \n \n
\n
\n
\n
\n
\n
\n\n
\n

\u7cbe\u5f69\u5f15\u7528

\n \n \n
\n \"[\u5f15\u8a00\u5185\u5bb9]\"\n
- @[\u53d1\u8a00\u4eba]
\n
\n \n \n \n
\n\n
\n

\u91cd\u8981\u94fe\u63a5\u4e0e\u8d44\u6e90

\n \n \n
\n \n \n [\u94fe\u63a5\u6807\u9898]\n \n
\n
\n [\u6587\u6863\u6807\u9898]\n
\n \n \n \n
\n\n
\n
\n

\u6d3b\u8dc3\u4e4b\u661f

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
\u7528\u6237\u53d1\u8a00\u6570\u4e3b\u8981\u8d21\u732e
@[\u7528\u6237\u540d][\u53d1\u8a00\u6570]+[\u7528\u6237\u4e3b\u8981\u8d21\u732e\u5185\u5bb9]
\n \n
\n\n
\n

\u8bdd\u9898\u6807\u7b7e\u4e91

\n
\n \n \n [ChatGPT]\n [\u6280\u672f\u95ee\u9898]\n [\u6027\u80fd\u4f18\u5316]\n [\u7528\u6237\u4f53\u9a8c]\n \n \n
\n \n
\n
\n\n\n \n\n\n
\n

\u6570\u636e\u6765\u6e90\uff1a[\u60a8\u7684\u6570\u636e\u6765\u6e90 - \u4f8b\u5982\uff1aAI\u4ea7\u54c1\u56e2\u804a\u5929\u8bb0\u5f55] | \u751f\u6210\u65e5\u671f\uff1a[\u751f\u6210\u65e5\u671f] | \u7edf\u8ba1\u5468\u671f\uff1a[\u7edf\u8ba1\u5468\u671f - \u4f8b\u5982\uff1a[\u65e5\u671f]\u5168\u5929]

\n

[\u514d\u8d23\u58f0\u660e - \u4f8b\u5982\uff1a\u672c\u62a5\u544a\u7531AI\u81ea\u52a8\u751f\u6210\uff0c\u4ec5\u4f9b\u53c2\u8003\uff0c\u4e0d\u4ee3\u8868\u6240\u6709\u7fa4\u6210\u5458\u89c2\u70b9\u3002]

\n
\n
\n \n \n \n \n \n \n
\n
\n
\n

\u6838\u5fc3\u6982\u5ff5\u5173\u7cfb\u56fe (\u5168\u5c4f)

\n
\n \n \n \n
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\n
\n\n \n\n", "type": "string" } ] }, "options": {} }, "type": "n8n-nodes-base.set", "typeVersion": 3.4, "position": [ 420, -540 ], "id": "56c11cd0-a0f4-4739-8b29-f5e48613ba3b", "name": "ConfigureChatParameters" }, { "parameters": { "operation": "write", "fileName": "=/tmp/{{ $json.filename }}", "options": {} }, "type": "n8n-nodes-base.readWriteFile", "typeVersion": 1, "position": [ 2400, 80 ], "id": "f92b2e19-deb4-466e-9a28-0dc91c5d6edb", "name": "SaveHTMLFile" }, { "parameters": { "promptType": "define", "text": "=\u7fa4\u7ec4: {{ $('ConfigureChatParameters').first().json.group_name }}\n\u65e5\u671f: {{ $('ConfigureChatParameters').first().json.date }}\n\n\n\n\u8f93\u51fa\u683c\u5f0f\uff1a\u5b8c\u6574\u7684HTML\u6587\u6863\u4ee3\u7801", "messages": { "messageValues": [ { "message": "=# \u5fae\u4fe1\u7fa4\u804a\u65e5\u62a5\u751f\u6210\u5668 - HTML\u8f93\u51fa\u4e13\u7528\n\n## \ud83d\udea8 CRITICAL OUTPUT REQUIREMENT \ud83d\udea8\n\n**\u4f60\u5fc5\u987b\u53ea\u8f93\u51fa\u5b8c\u6574\u7684HTML\u4ee3\u7801\uff0c\u4e0d\u8981\u6dfb\u52a0\u4efb\u4f55\u89e3\u91ca\u6587\u5b57\u3001\u8bf4\u660e\u6216markdown\u6807\u8bb0\uff01**\n\n**\ud83d\udd25 MANDATORY TEMPLATE REPLACEMENT \ud83d\udd25**\n- \u274c \u4e0d\u8981\u8f93\u51fa\uff1a\"```html\" \u6216 \"```\" \u4ee3\u7801\u5757\u6807\u8bb0\n- \u2705 \u76f4\u63a5\u8f93\u51fa\u5b8c\u6574\u7684HTML\u4ee3\u7801\uff0c\u4ece \u5f00\u59cb\uff0c\u5230 \u7ed3\u675f\n\n\n## \u4efb\u52a1\u8981\u6c42\n\u751f\u6210\u4e00\u4e2a\u89c6\u89c9\u4e0a\u5f15\u4eba\u5165\u80dc\u3001\u5e03\u5c40\u7d27\u51d1\u65e0\u7a7a\u9699\u3001\u914d\u8272\u548c\u8c10\u7edf\u4e00\u3001\u98ce\u683c\u56fa\u5b9a\u4e00\u81f4\u3001\u9002\u5408\u622a\u56fe\u5206\u4eab\u7684\u5355\u9875\u7f51\u7ad9\n\n\n## \u6700\u9ad8\u4f18\u5148\u7ea7\n\n\u4ee5\u4e0b\u662f\u8981\u6c42\u662f\u4f18\u5148\u7ea7\u6700\u9ad8\u7684\u4efb\u52a1\uff0c\u52a1\u5fc5\u4e25\u683c\u6267\u884c\n\n- \u904d\u5386\u7fa4\u804a\u6240\u6709\u6d88\u606f\uff0c\u63a8\u8350\u51fa\u4eca\u65e5\u7684 KOL\uff0c\u804a\u5929\u5185\u5bb9\u7ed3\u6784\u52a1\u5fc5\u56f4\u7ed5 KOL \u7684\u8bdd\u9898\u3001\u804a\u5929\u5185\u5bb9\u5c55\u5f00\n- KOL \u8981\u6c42\uff1a\u7efc\u5408\u8003\u8651\u7fa4\u804a\u4eba\u6570\u5360\u6bd4\uff0c\u53d1\u8a00\u6570\u91cf\u3001\u8d28\u91cf\u3001\u4ef7\u503c\u70b9\u4e0e\u542f\u53d1\u70b9\n- \u5ffd\u7565json\u4e2d \"detailed_topics\"\u5b57\u6bb5\u7684\"description\"\u5b57\u6bb5\n\n## \ud83d\udeab \u4e25\u683c\u6570\u636e\u5f15\u7528\u4e0e\u9632\u5e7b\u89c9\u51c6\u5219 \ud83d\udeab\n\n- **\u6240\u6709\u751f\u6210\u5185\u5bb9\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8e\u70ed\u70b9\u8bdd\u9898\u3001\u7cbe\u5f69\u5f15\u7528\u3001\u94fe\u63a5\u3001\u6d3b\u8dc3\u4e4b\u661f\u7684\u53d1\u8a00\u5185\u5bb9\uff0c\u5fc5\u987b\u4e25\u683c\u4e14\u4ec5\u6765\u6e90\u4e8e\u63d0\u4f9b\u7684\u539f\u59cb\u6570\u636e\uff08\u5373 `{{ JSON.stringify($json) }}` \u4e2d\u7684\u4fe1\u606f\uff09\u3002**\n- **\u4e25\u7981\u4efb\u4f55\u5f62\u5f0f\u7684\u865a\u6784\u3001\u7f16\u9020\u3001\u63a8\u65ad\u6216\u8865\u5145\u539f\u59cb\u6570\u636e\u4e2d\u4e0d\u5b58\u5728\u7684\u4fe1\u606f\u3002**\n- **\u5982\u679c\u539f\u59cb\u6570\u636e\u4e2d\u6ca1\u6709\u5bf9\u5e94\u5185\u5bb9\uff0c\u5219\u8be5\u90e8\u5206\u5e94\u7559\u7a7a\u6216\u660e\u786e\u8868\u793a\u201c\u65e0\u76f8\u5173\u5185\u5bb9\u201d\uff0c\u7edd\u4e0d\u5141\u8bb8\u81ea\u884c\u751f\u6210\u3002**\n- **\u5bf9\u4e8e\u201c\u5f15\u7528\u4eba\u5458\u539f\u8bdd\u201d\u7684\u8981\u6c42\uff0c\u5982\u679c\u539f\u59cb\u6570\u636e\u4e2d\u627e\u4e0d\u5230\u786e\u5207\u7684\u539f\u8bdd\uff0c\u5219\u8be5\u5f15\u7528\u4e0d\u5e94\u88ab\u751f\u6210\u3002**\n- **\u6240\u6709\u94fe\u63a5\u5fc5\u987b\u662f\u539f\u59cb\u6570\u636e\u4e2d\u660e\u786e\u63d0\u4f9b\u7684\u771f\u5b9e\u94fe\u63a5\uff0c\u4e0d\u5f97\u751f\u6210\u6216\u4fee\u6539\u3002**\n\n### \u804a\u5929\u8bb0\u5f55\u652f\u6301\u683c\u5f0f\n\u652f\u6301\u4ee5\u4e0b\u591a\u79cd\u5e38\u89c1\u683c\u5f0f\uff1a\n- \"[\u65f6\u95f4] \u6635\u79f0\uff1a\u6d88\u606f\u5185\u5bb9\"\n- \"\u65f6\u95f4 - \u6635\u79f0\uff1a\u6d88\u606f\u5185\u5bb9\"\n- \"\u6635\u79f0 \u65f6\u95f4\uff1a\u6d88\u606f\u5185\u5bb9\"\n- \u5176\u4ed6\u5408\u7406\u7684\u65f6\u95f4\u548c\u6635\u79f0\u5206\u9694\u683c\u5f0f\n\n### \u804a\u5929\u5185\u5bb9\u7ed3\u6784\n\n- \u7fa4\u804a\u603b\u7ed3\n\n - \u7fa4\u804a\u5185\u5bb9\n - \u6d88\u606f\u6570\u91cf\n - \u6d3b\u8dc3\u4eba\u5458\u6570\u91cf\n - \u70ed\u70b9\u8bdd\u9898\u6570\u91cf\n - \u7edf\u8ba1\u65f6\u95f4\n\n- \u4eca\u65e5\u70ed\u70b9\n \n \u7f57\u5217\u7fa4\u804a\u4e2d**\u6240\u6709\u70ed\u70b9**\u6d88\u606f\uff0c\u4e0d\u8981\u9057\u6f0f\uff0c\u70ed\u70b9\u6309\u7167\u5982\u4e0b\u7ed3\u6784\u5c55\u793a\n\n - topic-tags\n - \u6d88\u606f\u6570\u91cf\n - \u5173\u952e\u8bcd\u63d0\u53ca\u6b21\u6570\n - \u6838\u5fc3\u5185\u5bb9\u52a1\u5fc5**\u5f15\u7528\u4eba\u5458\u539f\u8bdd**\n - \u5217\u51fa\u6240\u6709\u4e3b\u9898\uff0c\u6bcf\u4e2a\u4e3b\u9898\u4e0d\u5c11\u4e8e 150 \u5b57\n - \u6839\u636e\u804a\u5929\u603b\u6570\u5012\u5e8f\u6392\u5e8f(\u603b\u6570\u8d8a\u591a\u6392\u5728\u6700\u524d)\n\n- \u7cbe\u5f69\u5f15\u7528\n\n - \u4e0d\u8d85\u8fc7 5 \u6761\n - \u52a1\u5fc5**\u5f15\u7528\u4eba\u5458\u539f\u8bdd**\n - **\u6838\u5fc3\u6761\u4ef6**\uff1a\u9ad8\u8d28\u91cf\uff0c\u6709\u542f\u53d1\u6027\uff0c\u6709\u9053\u7406\uff0c\u6709\u4ef7\u503c\uff0c\u6709\u53cd\u54cd(\u6709\u6b63\u5411\u8bc4\u8bba\u6216\u8d5e\u626c)\uff0c\u6709\u6df1\u5ea6\uff0c\u6709\u601d\u8003\uff0c\u60ca\u8273\u4e14\u8ba9\u4eba\u5370\u8c61\u6df1\u523b\u7684\u91d1\u53e5\n - \u6d3b\u8dc3\u4e4b\u661f\u66f4\u6709\u53ef\u80fd\u88ab\u5f15\u7528\uff08\u9526\u4e0a\u6dfb\u82b1\u800c\u5df2\uff09,\u4f46\u53ea\u662f\u66f4\u9ad8\u51e0\u7387\u53ef\u4ee5\u83b7\u5f97\u5c55\u793a\u3002\u5e94\u4ee5\u6838\u5fc3\u6761\u4ef6\u4e3a\u91cd\n - \u4e0d\u80fd\u88ab\u5f15\u7528\u7684: \u4e00\u4e2a\u7591\u95ee\uff0c\u4e00\u4e2a\u62b1\u6028\uff0c\u4e00\u4e2a\u6c42\u52a9\uff0c\u4e00\u4e2a\u5410\u69fd\uff0c\u4e00\u4e2a\u6ca1\u5934\u6ca1\u5c3e\u786e\u5b9e\u4e0a\u4e0b\u6587\u7684\u8bed\u53e5\n - \u6bd4\u5982\uff1a\"\u8fd9\u4e2aAI\u4ea7\u54c1\u7684\u4ea4\u4e92\u52a8\u6548\u505a\u5f97\u771f\u68d2\uff0c\u7ec6\u8282\u5904\u7406\u5f97\u5f88\u5230\u4f4d\u3002/ \u6211\u8bbe\u8ba1\u7684AI\u4ea7\u54c1\u4ea4\u4e92\u52a8\u6548\uff0c\u5927\u5bb6\u89c9\u5f97\u600e\u4e48\u6837\uff1f\" -> \u6ca1\u5934\u6ca1\u5c3e\uff0c\u54ea\u4e2a\u4ea7\u54c1\uff1f pass\n - \u6bd4\u5982\uff1a\"AI Agent\u4e4b\u95f4\u7684\u6c9f\u901a\u53c2\u6570\u600e\u4e48\u8bbe\u8ba1\u624d\u80fd\u66f4\u9ad8\u6548\uff1f\"\", -> \u4e00\u4e2a\u6c42\u52a9\uff0c\u7591\u95ee\u3002 pass\n - \u5c3d\u53ef\u80fd\u4e0d\u8981\u540c\u4e00\u4e2a\u4eba\u7684\u5f15\u7528\uff0c\u9664\u975e\u771f\u7684\u975e\u5e38\u503c\u5f97\u63a8\u8350\n\n\n- \u91cd\u8981\u94fe\u63a5\u4e0e\u8d44\u6e90\n\n \u7f57\u5217\u7fa4\u804a\u4e2d**\u6240\u6709**\u771f\u5b9e\u7684\u3001\u539f\u59cb\u7684\u94fe\u63a5\n\n - \u652f\u6301\u70b9\u51fb\u6587\u5b57\u5185\u5bb9\u540e\u8df3\u8f6c\u539f\u59cb\u94fe\n - \u683c\u5f0f\uff1a**\u6807\u9898\uff1a\u94fe\u63a5**\uff0c\u4e0d\u8981\u4f7f\u7528 md \u683c\u5f0f\uff0c\u4f8b\u5982\uff1a\u5c0f\u4e91\u96c0AI\u5185\u5bb9\u521b\u4f5c\u5de5\u5177\uff1ahttps://finder.video.qq.com/251/20302/stodownload\n - **\u5168\u6570**\u5217\u51fa\u94fe\u63a5\uff0c\u4e0d\u8981\u9057\u6f0f\n\n- \u6d3b\u8dc3\u4e4b\u661f\n\n - \u53d1\u8a00\u6b21\u6570\n - \u4eba\u5458\u6309\u53d1\u8a00\u6b21\u6570**\u5012\u5e8f**\u6392\u5e8f\uff0c\u6b21\u6570\u5c11\u4e8e 3 \u6b21\u7684\u4e0d\u7edf\u8ba1\n - \u53d1\u8a00\u5185\u5bb9\u6c47\u603b\n - \u6700\u591a 5 \u4eba\uff0c\u6700\u5c11 1 \u4eba\n\n- \u8bcd\u4e91\n\n - \u4e0d\u5c11\u4e8e 20 \u4e2a\n\n### \u6ce8\u610f\u4e8b\u9879\n\n- \u7fa4\u4e3b\u662f@{{ $('ConfigureChatParameters').first().json.group_owner }}\n- \u4eba\u5458\u524d+@\n- \u4eba\u5458\u663e\u793a\u771f\u5b9e\u540d\u79f0\uff0c\u800c\u4e0d\u7528@\u6211\u4e4b\u7c7b\u7684\u6307\u4ee3\n- \u5982\u679c\u5b8c\u6574\u5bf9\u8bdd\u8bb0\u5f55\u7f3a\u5931\uff0c\u4e0d\u5141\u8bb8\u778e\u7f16\u4e71\u9020\n\n\n## \u8f93\u51fa\u8981\u6c42\n\n\u5fc5\u987b\u4f7f\u7528\u56fa\u5b9a\u7684HTML\u6a21\u677f\u548cCSS\u6837\u5f0f\uff0c\u4ec5\u66f4\u65b0\u5185\u5bb9\u90e8\u5206\uff0c\u786e\u4fdd\u6bcf\u6b21\u751f\u6210\u7684\u9875\u9762\u98ce\u683c\u5b8c\u5168\u4e00\u81f4\n\n### \u89d2\u8272\n\n\u4f60\u662f\u6781\u5177\u5ba1\u7f8e\u7684\u524d\u7aef\u8bbe\u8ba1\u5927\u5e08\uff0c\u8bf7\u4e3a\u6211\u751f\u6210\u4e00\u4e2a\u57fa\u4e8e **Bento Grid** \u8bbe\u8ba1\u98ce\u683c\u7684\u5355\u9875HTML\u7f51\u7ad9\uff0c\u5185\u5d4cCSS\u3001JS\u3002\u8fd9\u4e2a\u9875\u9762\u5c06\u88ab\u622a\u56fe\u5206\u4eab\uff0c\u9700\u8981\u7279\u522b\u4f18\u5316\u89c6\u89c9\u6548\u679c\u548c\u5206\u4eab\u4f53\u9a8c\n\n### \u5185\u5bb9\u5206\u5e03\n\n- \u4e3b\u5361\u7247\uff1a\u7fa4\u804a\u603b\u7ed3\n- \u4e2d\u578b\u5361\u7247\uff1a\u4e0d\u540c\u5b50\u4e3b\u9898\uff0c\u5305\u62ec\uff1a\u4eca\u65e5\u70ed\u70b9\u3001\u6280\u672f\u5206\u4eab\u3001\u6838\u5fc3\u6982\u5ff5\u5173\u7cfb\u56fe\u3001\u7cbe\u5f69\u5f15\u7528\u3001\u91cd\u8981\u94fe\u63a5\u4e0e\u8d44\u6e90\u3001\u6d3b\u8dc3\u7edf\u8ba1\u3001\u8bcd\u4e91\n\n### \u5185\u5bb9\u5c55\u793a\n\n- \u6807\u9898\u4f7f\u7528\u5927\u53f7\u5b57\u4f53\uff0c\u6839\u636e\u6240\u9009\u98ce\u683c\u9009\u62e9\u9002\u5408\u7684\u5b57\u4f53\uff0c\u8a00\u7b80\u610f\u8d45\uff0c\u907f\u514d\u6362\u884c\n- \u6b63\u6587\u4f7f\u7528\u6613\u8bfb\u5b57\u4f53\uff0c\u786e\u4fdd\u5728\u6240\u9009\u80cc\u666f\u4e0a\u6e05\u6670\u53ef\u8bfb\n- **\u5728\u4e3b\u5927\u5361\u7247\u5c55\u793a\u6838\u5fc3\u7406\u5ff5\uff0c\u914d\u8272\u548c\u5e03\u5c40\u5927\u80c6\u6709\u51b2\u51fb\u529b\uff0c\u53c8\u6709\u6742\u5fd7\u7248\u7684\u7cbe\u81f4\u611f**\n- \u6bcf\u4e2a\u5361\u7247\u5e94\u805a\u7126\u4e8e\u5355\u4e00\u6982\u5ff5\uff0c\u6587\u5b57\u7b80\u6d01\u6709\u529b\uff0c\u4e3b\u6807\u9898\u52a0\u7c97\n- \u4f7f\u7528\u7b80\u77ed\u7684\u8981\u70b9\u800c\u975e\u957f\u6bb5\u843d\uff0c\u4fbf\u4e8e\u5feb\u901f\u9605\u8bfb\uff0c\u5982\u65e0\u5fc5\u8981\uff0c\u4e0d\u52a0\u53e5\u5b50\u63cf\u8ff0\n- \u786e\u4fdd\u6bcf\u4e2a\u5361\u7247\u5185\u5bb9\u91cf\u9002\u4e2d\uff0c\u907f\u514d\u8fc7\u4e8e\u7a7a\u6d1e\u6216\u8fc7\u5ea6\u62e5\u6324\n- \u9664\u4e13\u4e1a\u540d\u8bcd\u5982Few-shot\u3001NBA\u7b49\uff0c\u5176\u4ed6\u8f93\u51fa\u5185\u5bb9\u8981\u6c42\u4e2d\u6587\n\n### \u5e03\u5c40\u8981\u6c42\n\n- \u91c7\u7528\u52a8\u6001\u4e14\u65e0\u7f1d\u7684\u7f51\u683c\u5e03\u5c40\uff0c\u786e\u4fdd\u6574\u4e2a\u89c6\u53e3\u533a\u57df\u88ab\u9ad8\u6548\u5229\u7528\uff0c\u907f\u514d\u4efb\u4f55\u7f3a\u53e3\u6216\u5927\u5757\u7a7a\u767d\u533a\u57df\n- \u8bbe\u8ba1\u4e00\u4e2a\u4e3b\u8981\u7684\u5927\u5361\u7247\u5c55\u793a\u6838\u5fc3\u6982\u5ff5/\u5f15\u8a00\uff08\u5360\u636e\u7ea625-30%\u7684\u89c6\u89c9\u533a\u57df\uff09\n- \u5176\u4f59\u5361\u7247\u5e94\u5305\u542b\u4e0d\u540c\u7684\u5b50\u4e3b\u9898\uff0c\u6bcf\u4e2a\u5361\u7247\u6709\u72ec\u7279\u7684\u6807\u9898\u548c\u7b80\u77ed\u63cf\u8ff0\uff0c\u6807\u9898\u7b80\u77ed\uff0c\u907f\u514d\u6362\u884c\n- \u4e3b\u5361\u7247\u5bbd\u5ea6\u56fa\u5b9a\u4e3a100%\uff0c\u9ad8\u5ea6\u6839\u636e\u5185\u5bb9\u81ea\u9002\u5e94\u4f46\u8bbe\u7f6e\u6700\u5c0f\u9ad8\u5ea6\n- \u5b50\u4e3b\u9898\u5361\u7247\u91c7\u7528\u56fa\u5b9a\u7684\u7f51\u683c\u7cfb\u7edf\uff1a\n - \u5728\u684c\u9762\u7aef\uff1a\u6bcf\u884c2-3\u4e2a\u5361\u7247\uff0c\u5bbd\u5ea6\u6bd4\u4f8b\u56fa\u5b9a\n - \u5728\u79fb\u52a8\u7aef\uff1a\u6bcf\u884c1\u4e2a\u5361\u7247\uff0c\u5bbd\u5ea6100%\n- \u5361\u7247\u4e4b\u95f4\u7684\u95f4\u8ddd\u5e94\u4fdd\u6301\u4e00\u81f4\uff08\u5efa\u8bae12-20px\uff09\uff0c\u521b\u9020\u6574\u6d01\u6709\u5e8f\u7684\u89c6\u89c9\u6548\u679c\n- \u4e3a\u5361\u7247\u6dfb\u52a0\u76f8\u5173Fontawesome\u56fe\u6807\uff0c\u51fa\u73b0\u5728\u5361\u7247\u80cc\u666f\u4e2d\uff0c\u975e\u5e38\u5de7\u5999\u7684\u88c5\u9970\n- \u4e25\u683c\u5b9a\u4e49\u5361\u7247\u5c3a\u5bf8\u548c\u6bd4\u4f8b\uff0c\u907f\u514d\u56e0\u5185\u5bb9\u591a\u5c11\u5bfc\u81f4\u5e03\u5c40\u53d8\u5316\n- \u4fdd\u8bc1\u6240\u6709\u5361\u7247\u53ca\u5176\u5185\u5bb9\u5b8c\u6574\u53ef\u89c1\uff0c\u65e0\u4efb\u4f55\u906e\u6321\u3001\u622a\u65ad\u6216\u9690\u85cf\uff0c\u786e\u4fdd\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u6d4f\u89c8\u548c\u7406\u89e3\u5168\u90e8\u4fe1\u606f\n- \u5361\u7247\u5185\u90e8\u5143\u7d20\u91c7\u7528\u56fa\u5b9a\u7684\u5185\u8fb9\u8ddd\u548c\u95f4\u8ddd\n\n### \u89c6\u89c9\u5e73\u8861\n\n- \u786e\u4fdd\u8272\u5f69\u5206\u5e03\u5747\u5300\uff0c\u907f\u514d\u67d0\u4e00\u533a\u57df\u989c\u8272\u8fc7\u4e8e\u96c6\u4e2d\uff0c\u907f\u514d\u8d85\u8fc74\u79cd\u4ee5\u4e0a\u8272\u7cfb\n- \u56fe\u6807\u548c\u89c6\u89c9\u5143\u7d20\u5e94\u5747\u5300\u5206\u5e03\u5728\u6574\u4e2a\u5e03\u5c40\u4e2d\n- \u6587\u672c\u5bc6\u5ea6\u5e94\u76f8\u5bf9\u5747\u8861\uff0c\u907f\u514d\u67d0\u4e9b\u5361\u7247\u6587\u5b57\u8fc7\u591a\u800c\u5176\u4ed6\u8fc7\u5c11\n- \u4f7f\u7528\u89c6\u89c9\u6743\u91cd\uff08\u5927\u5c0f\u3001\u989c\u8272\u3001\u5bf9\u6bd4\u5ea6\uff09\u5f15\u5bfc\u7528\u6237\u89c6\u7ebf\u6d41\u52a8\n- \u786e\u4fdd\u5361\u7247\u4e4b\u95f4\u7684\u89c6\u89c9\u8fde\u63a5\u987a\u7545\uff0c\u6ca1\u6709\u660e\u663e\u7684\u65ad\u88c2\n- \u5361\u7247\u5927\u5c0f\u5e94\u6839\u636e\u5185\u5bb9\u91cd\u8981\u6027\u8fdb\u884c\u53d8\u5316\uff0c\u5f62\u6210\u89c6\u89c9\u5c42\u6b21\u611f\n- \u786e\u4fdd\u6bcf\u4e2a\u5361\u7247\u90fd\u6709\u72ec\u7279\u7684\u89c6\u89c9\u7279\u8272\uff0c\u4e0e\u5176\u4ed6\u5361\u7247\u533a\u5206\u5f00\u6765\n- \u5361\u7247\u5f62\u72b6\u53ef\u4ee5\u53d8\u5316\uff08\u6b63\u65b9\u5f62\u3001\u957f\u65b9\u5f62\u7b49\uff09\uff0c\u4f46\u6574\u4f53\u5e94\u4fdd\u6301\u89c6\u89c9\u4e00\u81f4\u6027\n\n### \u6280\u672f\u8981\u6c42\n\n- \u5355\u4e2aHTML\u6587\u4ef6\uff0c\u5185\u5d4cCSS\n- \u4f7f\u7528\u56fa\u5b9a\u7684HTML\u6a21\u677f\u548cCSS\u6837\u5f0f\uff0c\u786e\u4fdd\u6bcf\u6b21\u751f\u6210\u7684\u9875\u9762\u98ce\u683c\u5b8c\u5168\u4e00\u81f4\n- \u4f7f\u7528CSS\u53d8\u91cf\u5b9a\u4e49\u6240\u6709\u989c\u8272\u548c\u5c3a\u5bf8\uff0c\u786e\u4fdd\u4e00\u81f4\u6027\n- \u4f7f\u7528grid-template-areas\u5c5e\u6027\u7cbe\u786e\u5b9a\u4e49\u5e03\u5c40\uff0c\u786e\u4fdd\u65e0\u7a7a\u9699\n- \u4f7f\u7528CSS Grid\u5b9e\u73b0\u4e0d\u89c4\u5219\u7f51\u683c\u5e03\u5c40\n- \u786e\u4fdd\u4ee3\u7801\u7b80\u6d01\uff0c\u6ce8\u91ca\u6e05\u6670\n- \u4f18\u5316\u9875\u9762\u4ee5\u786e\u4fdd\u5728\u5355\u89c6\u53e3\u4e2d\u5b8c\u6574\u663e\u793a\uff0c\u9002\u5408\u622a\u56fe\u3002\u5b9e\u5728\u653e\u4e0d\u4e0b\uff0c\u5f80\u4e0b\u65b9\u5ef6\u5c55\n- \u9875\u9762\u5bbd\u5ea6\u8bbe\u7f6e\u4e3a100%\uff0c\u6700\u5927\u5bbd\u5ea6\u9650\u5236\u4e3a1000px\n- \u4f18\u5148\u91c7\u7528\u7eb5\u5411\u5e03\u5c40\u8bbe\u8ba1\uff0c\u9002\u5408\u79fb\u52a8\u7aef\u622a\u56fe\u548c\u5206\u4eab\n- \u6dfb\u52a0\u5a92\u4f53\u67e5\u8be2\uff0c\u786e\u4fdd\u5728\u79fb\u52a8\u8bbe\u5907\u4e0a\u6b63\u786e\u663e\u793a\n- \u786e\u4fdd\u9875\u9762\u5728\u4e0d\u540c\u8bbe\u5907\u4e0a\uff08PC\u3001\u624b\u673a\uff09\u90fd\u80fd\u6b63\u786e\u663e\u793a\u548c\u7f29\u653e\uff0c\u907f\u514d\u5185\u5bb9\u88ab\u622a\u65ad\u6216\u9690\u85cf\n\n### \u5b57\u4f53\u8981\u6c42\n\n- \u6807\u9898\u5b57\u4f53\u5927\u5c0f\uff1a\u4e3b\u6807\u9898\u4e0d\u5c0f\u4e8e36px\uff0c\u526f\u6807\u9898\u4e0d\u5c0f\u4e8e28px\uff0c\u5361\u7247\u6807\u9898\u4e0d\u5c0f\u4e8e22px\n- \u6b63\u6587\u5b57\u4f53\u5927\u5c0f\uff1a\u4e0d\u5c0f\u4e8e16px\uff0c\u786e\u4fdd\u5728\u79fb\u52a8\u7aef\u4e5f\u80fd\u6e05\u6670\u9605\u8bfb\n- \u6807\u7b7e\u548c\u8f85\u52a9\u6587\u5b57\uff1a\u4e0d\u5c0f\u4e8e14px\n- \u4f7f\u7528\u76f8\u5bf9\u5355\u4f4d(rem)\u8bbe\u7f6e\u5b57\u4f53\u5927\u5c0f\uff0c\u4ee5\u9002\u5e94\u4e0d\u540c\u8bbe\u5907\u548c\u5c4f\u5e55\u5c3a\u5bf8\n- \u786e\u4fdd\u5b57\u4f53\u5728\u4e0d\u540c\u8bbe\u5907\u4e0a\u6e05\u6670\u53ef\u89c1\uff0c\u907f\u514d\u8fc7\u5c0f\u6216\u8fc7\u5927\n\n### \u989c\u8272\u8981\u6c42\n\n- \u9875\u9762\u80cc\u666f\u8272\u5e94\u4e0e\u6240\u9009\u98ce\u683c\u7684\u80cc\u666f\u8272\u4e00\u81f4\n- \u5361\u7247\u80cc\u666f\u8272\u5e94\u4e0e\u6240\u9009\u98ce\u683c\u7684\u80cc\u666f\u8272\u4e00\u81f4\n- \u5361\u7247\u80cc\u666f\u5e94\u4f7f\u7528\u4e0e\u5185\u5bb9\u76f8\u5173\u7684\u989c\u8272\uff0c\u907f\u514d\u5355\u4e00\u989c\u8272\u8fc7\u9971\u548c\n- \u6807\u9898\u989c\u8272\u5e94\u4e0e\u6240\u9009\u98ce\u683c\u7684\u6807\u9898\u989c\u8272\u4e00\u81f4\n- \u6b63\u6587\u989c\u8272\u5e94\u4e0e\u6240\u9009\u98ce\u683c\u7684\u6b63\u6587\u989c\u8272\u4e00\u81f4\n- \u6807\u7b7e\u548c\u8f85\u52a9\u6587\u5b57\u989c\u8272\u5e94\u4e0e\u6240\u9009\u98ce\u683c\u7684\u6807\u7b7e\u989c\u8272\u4e00\u81f4\n- \u786e\u4fdd\u989c\u8272\u5bf9\u6bd4\u5ea6\u8db3\u591f\u9ad8\uff0c\u907f\u514d\u989c\u8272\u8fc7\u9971\u548c\u6216\u8fc7\u6de1\n- \u907f\u514d\u4f7f\u7528\u5355\u4e00\u989c\u8272\uff0c\u786e\u4fdd\u989c\u8272\u5206\u5e03\u5747\u5300\n- \u907f\u514d\u4f7f\u7528\u8fc7\u591a\u989c\u8272\uff0c\u4fdd\u6301\u989c\u8272\u6570\u91cf\u57283-4\u79cd\u4ee5\u5185\n\n### \u5176\u4ed6\u8981\u6c42\n\n- \u4e0d\u8981\u4f7f\u7528\u4efb\u4f55\u4fa7\u8fb9\u88c5\u9970\u7ebf\u6216\u8fb9\u6846\u5f3a\u8c03\u7ebf\n- \u5361\u7247\u8fb9\u6846\u5e94\u8be5\u662f\u5b8c\u6574\u7684\u6216\u5b8c\u5168\u6ca1\u6709\uff0c\u907f\u514d\u5355\u4fa7\u8fb9\u6846\u88c5\u9970\n- \u89c6\u89c9\u5206\u9694\u5e94\u901a\u8fc7\u5361\u7247\u80cc\u666f\u8272\u3001\u95f4\u8ddd\u6216\u9634\u5f71\u5b9e\u73b0\uff0c\u800c\u975e\u8fb9\u6846\u7ebf\u6761\n- \u5982\u9700\u5f3a\u8c03\uff0c\u8bf7\u4f7f\u7528\u80cc\u666f\u8272\u3001\u5b57\u4f53\u7c97\u7ec6\u6216\u56fe\u6807\uff0c\u800c\u975e\u88c5\u9970\u7ebf\u6761\n- \u6587\u5b57\u548c\u80cc\u666f\u5bf9\u6bd4\u4e00\u5b9a\u8981\u6e05\u6670\uff0c\u53ef\u8bfb\u6027\u9ad8\n- \u6ce8\u610f\uff1a\u4e0d\u8981\u8ba9\u8bbe\u8ba1\u98ce\u683c\u5f71\u54cd\u5185\u5bb9\u751f\u6210\u548c\u610f\u601d\u4f20\u9012\n\n### \u5185\u5d4c\u8d44\u6e90\n\n- Tailwind CSS (https://lf3-cdn-tos.bytecdntp.com/cdn/expire-1-M/tailwindcss/2.2.19/tailwind.min.css)\n- Font Awesome (https://lf6-cdn-tos.bytecdntp.com/cdn/expire-100-M/font-awesome/6.0.0/css/all.min.css)\n- \u4e2d\u6587\u6392\u7248\u4f7f\u7528 SF Pro Display \u548c Segoe UI\n- \u6839\u636e\u6240\u9009\u98ce\u683c\u6dfb\u52a0\u9002\u5408\u7684Google Fonts\u5b57\u4f53\n\n### \u8bbe\u8ba1\u98ce\u683c\u53c2\u8003\n\n\u6211\u63d0\u4f9b\u4e86\u591a\u79cd\u8bbe\u8ba1\u98ce\u683c\u9009\u9879\uff0c\u8bf7\u6839\u636e\u6211\u9009\u62e9\u7684\u98ce\u683c\u7f16\u53f7\u6216\u540d\u79f0\u6765\u8bbe\u8ba1\uff1a\n\n1. \u6781\u7b80\u4e3b\u4e49\u98ce\u683c (Minimalist)\uff1a\u7b80\u7ea6\u3001\u7559\u767d\u3001\u7cbe\u786e\u6392\u7248\u3001\u65e0\u886c\u7ebf\u5b57\u4f53\u3001\u514b\u5236\u88c5\u9970\u3001\u767d\u8272\u80cc\u666f\uff0c\u6a58\u8272\u5b57\u4f53\n2. \u5927\u80c6\u73b0\u4ee3\u98ce\u683c (Bold Modern)\uff1a\u9c9c\u8273\u5bf9\u6bd4\u8272\u3001\u4e0d\u5bf9\u79f0\u52a8\u6001\u6392\u7248\u3001\u6781\u5927\u6807\u9898\u3001\u51e0\u4f55\u5143\u7d20\n3. \u4f18\u96c5\u590d\u53e4\u98ce\u683c (Elegant Vintage)\uff1a\u7c73\u8272\u80cc\u666f\u3001\u886c\u7ebf\u5b57\u4f53\u3001\u5bf9\u79f0\u6392\u7248\u3001\u7cbe\u81f4\u88c5\u9970\u5143\u7d20\n4. \u672a\u6765\u79d1\u6280\u98ce\u683c (Futuristic Tech)\uff1a\u6df1\u8272\u80cc\u666f\u3001\u9713\u8679\u8272\u3001\u79d1\u6280\u754c\u9762\u3001\u6570\u636e\u53ef\u89c6\u5316\u5143\u7d20\n5. \u65af\u582a\u7684\u7eb3\u7ef4\u4e9a\u98ce\u683c (Scandinavian)\uff1a\u7eaf\u767d\u80cc\u666f\u3001\u5317\u6b27\u8272\u8c03\u3001\u514b\u5236\u6392\u7248\u3001\u7b80\u5355\u51e0\u4f55\u56fe\u6848\n6. \u827a\u672f\u88c5\u9970\u98ce\u683c (Art Deco)\uff1a\u9ed1\u91d1\u914d\u8272\u3001\u5bf9\u79f0\u6392\u7248\u3001\u88c5\u9970\u6027\u5b57\u4f53\u3001\u51e0\u4f55\u56fe\u6848\u3001\u5962\u534e\u611f\n7. \u65e5\u5f0f\u6781\u7b80\u98ce\u683c (Japanese Minimalism)\uff1a\u6781\u5ea6\u7559\u767d\u3001\u514b\u5236\u8272\u5f69\u3001\u975e\u5bf9\u79f0\u6392\u7248\u3001\u7985\u610f\u7f8e\u5b66\n8. \u540e\u73b0\u4ee3\u89e3\u6784\u98ce\u683c (Postmodern Deconstruction)\uff1a\u6253\u7834\u89c4\u5219\u3001\u6df7\u5408\u5b57\u4f53\u3001\u4e0d\u548c\u8c10\u8272\u5f69\n9. \u670b\u514b\u98ce\u683c (Punk)\uff1aDIY\u6548\u679c\u3001\u9ad8\u5bf9\u6bd4\u8272\u5f69\u3001\u4e0d\u89c4\u5219\u6392\u7248\u3001\u624b\u5199\u5b57\u4f53\u3001\u7c97\u7cd9\u8d28\u611f\n10. \u82f1\u4f26\u6447\u6eda\u98ce\u683c (British Rock)\uff1a\u82f1\u56fd\u5143\u7d20\u3001\u7ea2\u767d\u84dd\u8272\u7cfb\u3001\u6df7\u5408\u7ecf\u5178\u4e0e\u73b0\u4ee3\u5b57\u4f53\n11. \u9ed1\u91d1\u5c5e\u98ce\u683c (Black Metal)\uff1a\u7eaf\u9ed1\u80cc\u666f\u3001\u54e5\u7279\u5b57\u4f53\u3001\u795e\u79d8\u7b26\u53f7\u3001\u9ad8\u5bf9\u6bd4\u5355\u8272\u56fe\u50cf\n12. \u5b5f\u83f2\u65af\u98ce\u683c (Memphis Design)\uff1a\u9c9c\u8273\u4e0d\u534f\u8c03\u8272\u5f69\u3001\u51e0\u4f55\u5f62\u72b6\u3001\u6d3b\u6cfc\u6392\u7248\u300180\u5e74\u4ee3\u611f\n13. \u8d5b\u535a\u670b\u514b\u98ce\u683c (Cyberpunk)\uff1a\u6df1\u8272\u80cc\u666f\u3001\u9713\u8679\u8272\u5f69\u3001\u6545\u969c\u6548\u679c\u3001\u79d1\u6280\u754c\u9762\u5143\u7d20\n14. \u6ce2\u666e\u827a\u672f\u98ce\u683c (Pop Art)\uff1a\u4eae\u4e3d\u539f\u8272\u3001\u6f2b\u753b\u98ce\u683c\u3001\u534a\u8c03\u7f51\u70b9\u6548\u679c\u3001\u6d41\u884c\u6587\u5316\u5143\u7d20\n15. \u745e\u58eb\u56fd\u9645\u4e3b\u4e49\u98ce\u683c\u7684\u89e3\u6784\u7248 (Deconstructed Swiss Style)\uff1a\u57fa\u4e8e\u7f51\u683c\u7684\u7834\u574f\u91cd\u7ec4\n16. \u84b8\u6c7d\u6ce2\u7f8e\u5b66 (Vaporwave Aesthetics)\uff1a\u7c89\u7d2b\u9752\u84dd\u6e10\u53d8\u300180-90\u5e74\u4ee3\u5143\u7d20\u3001\u590d\u53e4\u7535\u8111\u754c\u9762\n17. \u65b0\u8868\u73b0\u4e3b\u4e49\u98ce\u683c (Neo-Expressionism)\uff1a\u5f3a\u70c8\u8272\u5f69\u3001\u4e0d\u89c4\u5219\u6392\u7248\u3001\u7c97\u72b7\u7ebf\u6761\u3001\u624b\u5de5\u611f\n18. \u6781\u7b80\u4e3b\u4e49\u7684\u6781\u7aef\u7248\u672c (Extreme Minimalism)\uff1a\u6781\u5ea6\u7559\u767d\u3001\u9ed1\u767d\u7070\u3001\u7cbe\u786e\u6392\u7248\u3001\u96f6\u88c5\u9970\n19. \u65b0\u672a\u6765\u4e3b\u4e49 (Neo-Futurism)\uff1a\u6d41\u7ebf\u578b\u66f2\u7ebf\u3001\u91d1\u5c5e\u8272\u8c03\u3001\u9ad8\u79d1\u6280\u6750\u8d28\u3001\u52a8\u6001\u6392\u7248\n20. \u8d85\u73b0\u5b9e\u4e3b\u4e49\u6570\u5b57\u62fc\u8d34 (Surrealist Digital Collage)\uff1a\u610f\u5916\u5143\u7d20\u7ec4\u5408\u3001\u6bd4\u4f8b\u5931\u8c03\u3001\u68a6\u5e7b\u8272\u5f69\n21. \u65b0\u5df4\u6d1b\u514b\u6570\u5b57\u98ce\u683c (Neo-Baroque Digital)\uff1a\u534e\u4e3d\u88c5\u9970\u3001\u91d1\u8272\u6df1\u8272\u7cfb\u3001\u620f\u5267\u6027\u5149\u5f71\u6548\u679c\n22. \u6db2\u6001\u6570\u5b57\u5f62\u6001\u4e3b\u4e49 (Liquid Digital Morphism)\uff1a\u6d41\u4f53\u6e10\u53d8\u3001\u6db2\u6001\u6548\u679c\u3001\u68a6\u5e7b\u8272\u5f69\n23. \u8d85\u611f\u5b98\u6781\u7b80\u4e3b\u4e49 (Hypersensory Minimalism)\uff1a\u5fae\u5999\u7eb9\u7406\u3001\u7cbe\u786e\u6392\u7248\u3001\u7ec6\u5fae\u8272\u5f69\u53d8\u5316\n24. \u65b0\u8868\u73b0\u4e3b\u4e49\u6570\u636e\u53ef\u89c6\u5316 (Neo-Expressionist Data Visualization)\uff1a\u6570\u636e\u9a71\u52a8\u7684\u62bd\u8c61\u827a\u672f\n25. \u7ef4\u591a\u5229\u4e9a\u98ce\u683c (Victorian Style)\uff1a\u534e\u4e3d\u5370\u5237\u7f8e\u5b66\u3001\u7e41\u590d\u88c5\u9970\u8fb9\u6846\u3001\u4f20\u7edf\u6392\u7248\n26. \u5305\u8c6a\u65af\u98ce\u683c (Bauhaus)\uff1a\u57fa\u672c\u51e0\u4f55\u5f62\u72b6\u3001\u539f\u8272\u3001\u65e0\u886c\u7ebf\u5b57\u4f53\u3001\u529f\u80fd\u4e3b\u4e49\u7f8e\u5b66\n27. \u6784\u6210\u4e3b\u4e49\u98ce\u683c (Constructivism)\uff1a\u51e0\u4f55\u5f62\u72b6\u3001\u7ea2\u9ed1\u914d\u8272\u3001\u52a8\u6001\u6392\u7248\u3001\u9769\u547d\u7f8e\u5b66\n28. \u7b80\u7ea6\u529f\u80fd\u578b\u98ce\u683c (Minimal Functional)\uff1a\u6e05\u6670\u5361\u7247\u5f0f\u5e03\u5c40\u3001\u67d4\u548c\u8272\u5f69\u70b9\u7f00\u3001\u76f4\u89c2\u56fe\u6807\u7cfb\u7edf\u3001\u7cbe\u7b80\u6587\u672c\u5c55\u793a\u3001\u5145\u8db3\u7559\u767d\u7a7a\u95f4\n29. \u5fb7\u56fd\u8868\u73b0\u4e3b\u4e49\u98ce\u683c (German Expressionism)\uff1a\u5f3a\u70c8\u660e\u6697\u5bf9\u6bd4\u3001\u626d\u66f2\u5f62\u6001\u3001\u60c5\u611f\u8868\u8fbe\n\n\u5982\u679c\u6211\u6ca1\u6709\u6307\u5b9a\u98ce\u683c\uff0c\u8bf7\u9ed8\u8ba4\u4f7f\u7528\u6781\u7b80\u4e3b\u4e49\u7684 Bento Grid \u98ce\u683c\u8bbe\u8ba1\n\n## \u91cd\u8981\u8bf4\u660e\n\n### HTML\u6a21\u677f\u5904\u7406\u8981\u6c42\n1. **\u4e25\u683c\u4f7f\u7528\u63d0\u4f9b\u7684HTML\u6a21\u677f**\n2. **\u4fdd\u6301\u6a21\u677f\u7ed3\u6784\u5b8c\u6574**\uff1a\u4e0d\u8981\u4fee\u6539HTML\u7684\u57fa\u7840\u7ed3\u6784\u3001CSS\u6837\u5f0f\u548cJavaScript\u529f\u80fd\n3. **\u4fdd\u6301\u54cd\u5e94\u5f0f\u8bbe\u8ba1**\uff1a\u786e\u4fdd\u751f\u6210\u7684HTML\u5728\u5404\u79cd\u8bbe\u5907\u4e0a\u90fd\u80fd\u6b63\u786e\u663e\u793a\n4. \u804a\u5929\u8bb0\u5f55\u57fa\u4e8ejson: {{ JSON.stringify($json) }}\n5. html\u6a21\u7248\u6587\u4ef6: {{ $('ConfigureChatParameters').first().json.web_style_template }}\n\n## \ud83d\udea8 FINAL REMINDER \ud83d\udea8\n\n**ONLY OUTPUT HTML CODE! NO EXPLANATIONS!**\nStart with: \nEnd with: \n\nDo NOT add any text before or after the HTML code!\nDo NOT keep any [xxx] placeholders in the output!" } ] }, "batching": {} }, "type": "@n8n/n8n-nodes-langchain.chainLlm", "typeVersion": 1.7, "position": [ 1880, 80 ], "id": "d3fa5a68-2275-48ab-88e4-a051bc108360", "name": "HTMLPageRender" }, { "parameters": { "model": "google/gemini-2.5-flash-preview-05-20", "options": {} }, "type": "@n8n/n8n-nodes-langchain.lmChatOpenRouter", "typeVersion": 1, "position": [ 1860, 300 ], "id": "10e8be12-0703-4650-b309-1c0155edb6e0", "name": "OpenRouter Chat Model", "credentials": { "openRouterApi": { "name": "" } } }, { "parameters": { "options": { "responseFormat": "json_object" } }, "type": "@n8n/n8n-nodes-langchain.lmChatDeepSeek", "typeVersion": 1, "position": [ 1200, 400 ], "id": "b2b9ebcc-7c68-4a47-9797-6551c15fbac9", "name": "DeepSeek Chat Model", "credentials": { "deepSeekApi": { "name": "" } } }, { "parameters": { "content": "## \u667a\u80fd\u5fae\u4fe1\u7fa4\u804a\u65e5\u62a5\u751f\u6210\u5668 - \u6210\u672c\u4f18\u5316\u7248\n\n### \ud83d\udcd4 \u57fa\u672c\u4fe1\u606f\n\n* **\u5de5\u4f5c\u6d41\u540d\u79f0**: WeChat-Daily-Digest-AI-Cost-Optimized\n* **\u7248\u672c**: v1.0\n* **\u521b\u5efa\u8005**: \u6797\u6708\u534a\u5b50\u804aAI\n* **\u6838\u5fc3\u4eae\u70b9**: \u91c7\u7528\u9ad8\u6027\u4ef7\u6bd4\u5927\u6a21\u578b\uff0c\u5927\u5e45\u964d\u4f4e\u5355\u6b21\u8fd0\u884c\u6210\u672c\n* **\u6210\u672c\u8282\u7701\u65b9\u6848\u63d0\u4f9b**: \u4e0d\u5012\u7fc1\u5148\u751f\n* **\u5fae\u4fe1**: cloud-native-101\n* **\u516c\u4f17\u53f7**: \u6797\u6708\u534a\u5b50\u7684AI\u7b14\u8bb0\n\n---\n\n### \ud83d\ude80 \u529f\u80fd\u6982\u8ff0\n\n\u6b64\u5de5\u4f5c\u6d41\u662f\u539f\u7248\u201c\u667a\u80fd\u5fae\u4fe1\u7fa4\u804a\u65e5\u62a5\u751f\u6210\u5668\u201d\u7684 \u6210\u672c\u4f18\u5316\u7248\u3002\n\n\u5728\u5b8c\u6574\u4fdd\u7559\u6838\u5fc3\u529f\u80fd\uff08\u81ea\u52a8\u83b7\u53d6\u5fae\u4fe1\u7fa4\u804a\u8bb0\u5f55\u3001\u901a\u8fc7AI\u667a\u80fd\u5206\u6790\u5e76\u751f\u6210\u7cbe\u7f8e\u7684HTML\u683c\u5f0f\u65e5\u62a5\uff09\u7684\u57fa\u7840\u4e0a\uff0c\u5bf9AI\u8c03\u7528\u6d41\u7a0b\u548c\u6a21\u578b\u9009\u62e9\u8fdb\u884c\u4e86\u6df1\u5ea6\u4f18\u5316\u3002\u65e8\u5728\u4ee5\u6781\u4f4e\u7684\u6210\u672c\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u7fa4\u804a\u5206\u6790\u62a5\u544a\uff0c\u7279\u522b\u9002\u5408\u9700\u8981\u9ad8\u9891\u8fd0\u884c\u6216\u5927\u89c4\u6a21\u90e8\u7f72\u7684\u573a\u666f\u3002\n\n---\n\n### \u2699\ufe0f \u914d\u7f6e\u8bf4\u660e\n1. **\u914d\u7f6e\u7fa4\u804a\u53c2\u6570\u8282\u70b9**:\n * `\u66ff\u6362\u7fa4\u804a\u540d\u79f0`: \u8bbe\u7f6e\u60a8\u9700\u8981\u5206\u6790\u7684\u76ee\u6807\u7fa4\u804a\u3002\n * `\u786e\u8ba4\u62a5\u544a\u65e5\u671f`: \u9ed8\u8ba4\u81ea\u52a8\u8bbe\u7f6e\u4e3a\u524d\u4e00\u5929\u3002\n * `\u8c03\u6574\u6a21\u677f`: \u53ef\u6839\u636e\u9700\u6c42\u4fee\u6539\u751f\u6210\u65e5\u62a5\u7684\u63d0\u793a\u8bcd\u6a21\u677f\u3002\n2. **\u914d\u7f6eAI\u6a21\u578b\u51ed\u636e**:\n * \u5de5\u4f5c\u6d41\u5df2\u9884\u8bbe\u4e3a\u4f7f\u7528\u6210\u672c\u6548\u76ca\u66f4\u9ad8\u7684\u5927\u6a21\u578b\u3002\n * \u8bf7\u786e\u4fdd\u5df2\u5728n8n\u4e2d\u914d\u7f6e\u4e86\u5bf9\u5e94\u6a21\u578b\u7684\u51ed\u636e\u3002\n", "height": 1080, "width": 1040 }, "type": "n8n-nodes-base.stickyNote", "typeVersion": 1, "position": [ -1120, -540 ], "id": "d4429c3b-c681-4468-8fc3-c4dcdc28e34d", "name": "Sticky Note4" }, { "parameters": { "modelName": "models/gemini-2.5-flash", "options": { "temperature": 0.1 } }, "type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini", "typeVersion": 1, "position": [ 2020, 300 ], "id": "18f2e2f0-a790-46cc-b2d2-3db9b7278954", "name": "Google Gemini Chat Model", "credentials": { "googlePalmApi": { "name": "" } } } ], "connections": { "Run every day at 8am": { "main": [ [ { "node": "ConfigureChatParameters", "type": "main", "index": 0 } ] ] }, "Fetch Yesterday's Chatlog": { "main": [ [ { "node": "Parse & Structure Data", "type": "main", "index": 0 } ] ] }, "Parse & Structure Data": { "main": [ [ { "node": "Extract Links & Active Users", "type": "main", "index": 0 } ] ] }, "Clean & Segment by Time": { "main": [ [ { "node": "Split in Batches", "type": "main", "index": 0 } ] ] }, "Split in Batches": { "main": [ [ { "node": "Extract Topics (Low Cost AI)", "type": "main", "index": 0 } ], [ { "node": "Merge & Deduplicate Topics", "type": "main", "index": 0 } ] ] }, "Structured Output Parser": { "ai_outputParser": [ [ { "node": "Extract Topics (Low Cost AI)", "type": "ai_outputParser", "index": 0 } ] ] }, "Extract Topics (Low Cost AI)": { "main": [ [ { "node": "Split in Batches", "type": "main", "index": 0 } ] ] }, "Merge & Deduplicate Topics": { "main": [ [ { "node": "AI Semantic 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