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Cc Field Mapping Safety

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doccker
cc-field-mapping-safety

当重构涉及字段映射(dataIndex、枚举映射、类型转换)时触发。防止字段名推测错误,确保字段映射的正确性。

Overview

Publisherdoccker
Repositorycc-use-exp
Skill namecc-field-mapping-safety
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Bundled files
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by doccker on GitHub. Read the source before you install it.

Installation

Install the Cc Field Mapping Safety AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/doccker/cc-use-exp/tree/main/.codex/skills/cc-field-mapping-safety
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/doccker/cc-use-exp.git /tmp/cc-use-exp
mkdir -p .claude/skills
cp -r /tmp/cc-use-exp/.codex/skills/cc-field-mapping-safety .claude/skills/cc-field-mapping-safety
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cc Field Mapping Safety in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Cc Field Mapping Safety on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Cc Field Mapping Safety is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

字段映射安全规范

触发场景

  • 重构表格列定义(dataIndex、columns)
  • 重构枚举类型映射(typeMap、statusMap)
  • 重构数据转换逻辑(render 函数、formatter)
  • 类型定义中有多个相似字段(changedAt vs createdAt)

核心原则

不要根据类型定义推测字段名,必须查看原始代码的实际使用


检查清单

1. 字段名验证

  • 查看原始代码的 dataIndex
  • 查看后端 API 返回的实际字段名
  • 优先使用必填字段,避免可选字段
  • 注意字段名的细微差异(changedAt vs createdAt、changeType vs operationType)

2. 枚举映射验证

  • 对照原始代码,逐个检查枚举值
  • 确保映射完整(不遗漏任何枚举值)
  • 检查枚举值的拼写(UPLOAD vs Upload)
  • 检查枚举值的颜色、文本是否一致

3. 运行时测试

  • TypeScript 类型检查通过(必要但不充分)
  • 在实际环境中测试功能
  • 检查是否显示 "Invalid Date"、"undefined"、空白
  • 检查枚举值是否都有对应的映射

常见陷阱

陷阱 1: 类型定义有歧义

场景:类型定义中有多个相似字段

typescript
interface InvoiceHistory {
  changedAt?: string  // 可选字段
  createdAt: string   // 必填字段
  changeType?: string // 错误字段
  operationType: string // 正确字段
}

错误做法:

typescript
// ❌ 根据类型定义推测,选择了可选字段
dataIndex: 'changedAt'  // 可能为 undefined → Invalid Date
dataIndex: 'changeType' // 字段不存在 → 显示为空

正确做法:

typescript
// ✅ 查看原始代码的实际使用
git show HEAD~1:src/components/InvoiceHistoryTab.tsx

// 原始代码使用 createdAt(必填)和 operationType(正确)
dataIndex: 'createdAt'
dataIndex: 'operationType'

陷阱 2: 枚举映射不完整

场景:重构时遗漏部分枚举值

错误做法:

typescript
// ❌ 只保留了 3 个类型
typeMap: {
  CREATE: { text: '创建', color: 'green' },
  UPDATE: { text: '更新', color: 'blue' },
  DELETE: { text: '删除', color: 'red' },
}

正确做法:

typescript
// ✅ 查看原始代码,确保完整
git show HEAD~1:src/components/InvoiceHistoryTab.tsx

// 原始代码有 10 个类型
typeMap: {
  UPLOAD: { text: '上传发票', color: 'blue' },
  OCR_START: { text: '开始OCR', color: 'cyan' },
  OCR_SUCCESS: { text: 'OCR成功', color: 'green' },
  OCR_FAILED: { text: 'OCR失败', color: 'red' },
  OCR_RETRY: { text: '重试OCR', color: 'orange' },
  MANUAL_EDIT: { text: '手动编辑', color: 'orange' },
  LINK_ORDER: { text: '关联订单', color: 'purple' },
  UNLINK_ORDER: { text: '取消关联', color: 'magenta' },
  FIELD_CONFIRM: { text: '确认字段', color: 'green' },
  DELETE: { text: '删除发票', color: 'red' },
}

陷阱 3: TypeScript 无法检测

场景:字段名错误但 TypeScript 不报错

typescript
// ❌ TypeScript 不会报错(changedAt 在类型定义中存在)
dataIndex: 'changedAt'  // 类型检查通过
render: (val: string) => new Date(val).toLocaleString()
// 运行时:val 为 undefined → Invalid Date

正确做法:

typescript
// ✅ 运行时测试 + 防御性编程
dataIndex: 'createdAt'
render: (val: string) => {
  if (!val) return '-'
  try {
    return new Date(val).toLocaleString('zh-CN')
  } catch {
    return val
  }
}

陷阱 4: rowKey 使用可选字段

场景:rowKey 使用了可能为 undefined 的字段

错误做法:

typescript
// ❌ changedAt 可能为 undefined
rowKey={(record, index) => `${record.changedAt}-${index}`}
// 结果:undefined-0, undefined-1 → key 重复

正确做法:

typescript
// ✅ 使用必填字段 id
rowKey={(record) => record.id}

陷阱 5: 同步覆盖时未考虑"源端缺失"和"人工调整"

场景:从外部源(雷珏、ERP、CRM)定时/手动同步数据到本系统,每次同步都直接覆盖目标字段。

风险 5.1:源端字段为 null/缺失 → 清空目标端已有值
java
// ❌ 源端这次没返回 categoryId,目标端 categoryId 被清成 null
public void syncFromExternal(ExternalDetail detail) {
    Product product = productRepository.findById(detail.getProductId()).orElseThrow();
    Long categoryId = resolveCategory(detail);  // 可能返回 null
    product.setCategoryId(categoryId);  // null 也覆盖 → 用户之前手动设置的分类被清空
    productRepository.save(product);
}

// ✅ 源端缺失则不覆盖
public void syncFromExternal(ExternalDetail detail) {
    Product product = productRepository.findById(detail.getProductId()).orElseThrow();
    Long categoryId = resolveCategory(detail);
    if (categoryId != null && !Objects.equals(product.getCategoryId(), categoryId)) {
        product.setCategoryId(categoryId);
        productRepository.save(product);
    }
}
风险 5.2:用户手动调整后被下一次同步覆盖

场景:用户在系统里把雷珏导入的商品分类从「家居」改到「办公用品」,下次雷珏导入又强制覆盖回「家居」→ 用户操作被悄悄丢弃。

伴随策略(last-sync-value pattern):在 mapping 表里记录"上次同步时给目标端的值",再覆盖前判断目标端是否仍等于该值。如果不等说明用户手动改过,跳过覆盖。

java
// 1. mapping 表新增 last_category_id 字段
@Entity
public class LeijueProductMapping {
    private Long productId;
    private Long lastCategoryId;  // 上次同步时设置的 categoryId
    // ...
}

// 2. 同步时按"伴随策略"判定
private boolean syncCategoryField(Product product, Long newCategoryId, Long lastCategoryId) {
    if (newCategoryId == null) return false;  // 源缺失不动(风险 5.1)

    boolean isInitial = product.getCategoryId() == null;
    boolean followingLastSync = Objects.equals(product.getCategoryId(), lastCategoryId);

    if (isInitial || followingLastSync) {
        product.setCategoryId(newCategoryId);
        return true;
    } else {
        log.info("跳过覆盖,目标已被人工调整: productId={}, current={}, lastSync={}, source={}",
                product.getId(), product.getCategoryId(), lastCategoryId, newCategoryId);
        return false;
    }
}

// 3. 同步成功后更新 lastCategoryId
if (newCategoryId != null) {
    mapping.setLastCategoryId(newCategoryId);
}
决策矩阵
源端值目标当前值 == lastSyncValue决策
null任意不动(源缺失不清空)
有值true(仍是上次同步值)覆盖(用户未改过,跟随同步)
有值false(与上次不一致)跳过(用户改过,不要覆盖)
有值目标为 null覆盖(首次同步)
何时不需要伴随策略
  • 不可由用户编辑的字段(如外部唯一 ID、订单号、外部状态码):直接覆盖即可
  • 计算字段(如统计快照):每次重算覆盖
  • 主数据强一致场景(如供应商目录):明确以外部为准
检查清单
  • 同步流程里写 entity.setXxx(newValue) 前是否有 null 判断
  • 源端字段为 null 时是否会错误清空目标端
  • 用户可编辑的字段是否考虑"人工调整不被覆盖"
  • 需要伴随策略的字段是否在 mapping 表里有 last_xxx 列
  • 跳过同步时是否打 log.info 便于排查

验证流程

1. 静态检查

bash
# TypeScript 类型检查
npm run type-check

# ESLint 检查
npm run lint

2. 运行时测试

  • 在开发环境中测试功能
  • 检查是否显示 "Invalid Date"
  • 检查是否显示 "undefined" 或空白
  • 检查枚举值是否都有对应的映射
  • 检查 rowKey 是否唯一

3. 对比验证

bash
# 查看原始代码
git show HEAD~1:src/components/InvoiceHistoryTab.tsx

# 制作对比清单
| 字段 | 原始代码 | 重构后 | 状态 |
|------|---------|--------|------|
| 时间字段 | createdAt | changedAt | ❌ 错误 |
| 操作类型 | operationType | changeType | ❌ 错误 |
| 枚举映射 | 10 个 | 3 个 | ❌ 不完整 |
| rowKey | record.id | record.changedAt | ❌ 错误 |

防御性编程

1. 可选字段处理

typescript
// ✅ 检查字段是否存在
render: (val: string) => {
  if (!val) return '-'
  return val
}

2. 日期格式化

typescript
// ✅ 捕获异常
render: (val: string) => {
  if (!val) return '-'
  try {
    return new Date(val).toLocaleString('zh-CN', {
      year: 'numeric',
      month: '2-digit',
      day: '2-digit',
      hour: '2-digit',
      minute: '2-digit',
      second: '2-digit',
      hour12: false,
    })
  } catch {
    return val
  }
}

3. 枚举映射

typescript
// ✅ 提供默认值
render: (type: string) => {
  const config = typeMap[type] || { text: type, color: 'default' }
  return <Tag color={config.color}>{config.text}</Tag>
}

规则溯源

> 📋 本回复遵循:`cc-field-mapping-safety` - [章节]

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Cc Field Mapping Safety AI skill do?

当重构涉及字段映射(dataIndex、枚举映射、类型转换)时触发。防止字段名推测错误,确保字段映射的正确性。

Why use Cc Field Mapping Safety on TypingMind?

Because you install it once and use it with any model. Cc Field Mapping Safety is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Cc Field Mapping Safety in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doccker/cc-use-exp/tree/main/.codex/skills/cc-field-mapping-safety. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Cc Field Mapping Safety?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Cc Field Mapping Safety?

As many as you like. As long as a model supports skills, you can use Cc Field Mapping Safety with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Cc Field Mapping Safety AI skill free?

It is published on GitHub by doccker. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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