Initial commit: hardened DeerFlow factory
Vendored deer-flow upstream (bytedance/deer-flow) plus prompt-injection hardening: - New deerflow.security package: content_delimiter, html_cleaner, sanitizer (8 layers — invisible chars, control chars, symbols, NFC, PUA, tag chars, horizontal whitespace collapse with newline/tab preservation, length cap) - New deerflow.community.searx package: web_search, web_fetch, image_search backed by a private SearX instance, every external string sanitized and wrapped in <<<EXTERNAL_UNTRUSTED_CONTENT>>> delimiters - All native community web providers (ddg_search, tavily, exa, firecrawl, jina_ai, infoquest, image_search) replaced with hard-fail stubs that raise NativeWebToolDisabledError at import time, so a misconfigured tool.use path fails loud rather than silently falling back to unsanitized output - Native client back-doors (jina_client.py, infoquest_client.py) stubbed too - Native-tool tests quarantined under tests/_disabled_native/ (collect_ignore_glob via local conftest.py) - Sanitizer Layer 7 fix: only collapse horizontal whitespace, preserve newlines and tabs so list/table structure survives - Hardened runtime config.yaml references only the searx-backed tools - Factory overlay (backend/) kept in sync with deer-flow tree as a reference / source See HARDENING.md for the full audit trail and verification steps.
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# generate_spreadsheet — 电子表格/数据透视表
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## 功能概述
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生成电子表格或数据透视表,用于展示结构化的表格数据。当提供 `rows` 或 `values` 字段时,渲染为数据透视表(交叉表);否则渲染为常规表格。适合展示结构化数据、跨类别比较值以及创建数据汇总。
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## 输入字段
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### 必填
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- `data`: array<object>,表格数据数组,每个对象代表一行。键是列名,值可以是字符串、数字、null 或 undefined。例如:`[{ name: 'John', age: 30 }, { name: 'Jane', age: 25 }]`。
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### 可选
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- `rows`: array<string>,数据透视表的行标题字段。当提供 `rows` 或 `values` 时,电子表格将渲染为数据透视表。
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- `columns`: array<string>,列标题字段,用于指定列的顺序。对于常规表格,这决定列的顺序;对于数据透视表,用于列分组。
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- `values`: array<string>,数据透视表的值字段。当提供 `rows` 或 `values` 时,电子表格将渲染为数据透视表。
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- `theme`: string,默认 `default`,可选 `default`/`dark`。
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- `width`: number,默认 `600`。
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- `height`: number,默认 `400`。
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## 使用建议
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- 对于常规表格,只需提供 `data` 和可选的 `columns` 来控制列的顺序。
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- 对于数据透视表(交叉表),提供 `rows` 用于行分组,`columns` 用于列分组,`values` 用于聚合的值字段。
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- 确保数据中的字段名与 `rows`、`columns`、`values` 中指定的字段名一致。
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## 返回结果
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- 返回电子表格/数据透视表图片 URL,并附 `_meta.spec` 供后续编辑。
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