feat(admin): add ephemeral staging DB, read-only posts overview, and dynamic search
- Implement ephemeral staging mode (APP_ENV=staging) to isolate test/dev DB writes in /tmp - Add read-only posts management dashboard under /guanli/posts with live links and comment counters - Add hot re-indexing endpoint (/guanli/reindex) to refresh Markdown without restarting server - Replace static recommended search config with dynamic frequency-based trending searches - Remove early scaffold mockup file (dropbox/zh.md) and clean legacy mock test queries - Add native Makefile with dev, dev-persistent, test, lint, and docker targets - Update test suite and documentation for development workflows
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@@ -30,11 +30,6 @@ social:
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- platform: email
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address: "[email protected]"
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search:
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recommended:
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- label: 'tag:k8s "container image" category:tech'
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query: 'tag:k8s "container image" category:tech'
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plugins:
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google-analytics:
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enabled: true
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@@ -1,27 +0,0 @@
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---
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title: "使用 Gemini-CLI 与 MCP 服务整理 Dropbox"
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date: 2025-08-31
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author: "haopengzhan"
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category: "Tech"
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tags: ["AI Era", "Dropbox", "Gemini", "LLM", "Productivity", "k8s"]
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excerpt: "面对堆积如山的 Dropbox 文件,如何使用大语言模型与 Model Context Protocol 构建自动化归档助手?"
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cover: images/cover.svg
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lang: zh
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---
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我想很多人都会遇到和我一样的困境:多年累积的单据、学术论文、照片杂乱无章地存放在 Dropbox 中。
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在日常管理集群基础设施时,我们通过标准化的 **container image** 保持每个节点的干净与可复现。但我们的个人存储往往像一个臃肿的单体遗留系统。
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## 云存储的管理困境
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传统的文件夹分类需要大量人工维护,而且往往随着时间推移逐渐失控。借助 MCP 协议,我们可以让 AI 拥有读写文件的上下文能力。
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```bash
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# 启动 MCP 服务
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npx -y @modelcontextprotocol/server-dropbox
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```
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## 总结与成效
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现在每天晚上脚本自动运行,未分类文件自动按年月和类别归档,大幅提升了个人数字资产的管理效率。
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