@qwe8652591/prompt-ai
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DPML-powered AI prompt framework - Revolutionary AI-First CLI system based on Deepractice Prompt Markup Language. Build sophisticated AI agents with structured prompts, memory systems, and execution frameworks.
319 lines (273 loc) • 8.97 kB
JavaScript
const BasePouchCommand = require('../BasePouchCommand')
const fs = require('fs-extra')
const path = require('path')
const { COMMANDS } = require('../../../../constants')
/**
* 记忆检索锦囊命令
* 负责从记忆库中检索相关知识和经验
*/
class RecallCommand extends BasePouchCommand {
constructor () {
super()
}
getPurpose () {
return 'AI主动检索记忆中的专业知识、最佳实践和历史经验'
}
async getContent (args) {
const [query] = args
try {
const memories = await this.getAllMemories(query)
if (memories.length === 0) {
return `🧠 AI记忆体系中暂无内容。
💡 建议：
1. 使用 MCP PromptX remember 工具内化新知识
2. 使用 MCP PromptX learn 工具学习后再内化
3. 开始构建AI的专业知识体系`
}
const formattedMemories = this.formatRetrievedKnowledge(memories, query)
return `🧠 AI记忆体系 ${query ? `检索"${query}"` : '全部记忆'} (${memories.length}条)：
${formattedMemories}
💡 记忆运用建议：
1. 结合当前任务场景灵活运用
2. 根据实际情况调整和变通
3. 持续学习和增强记忆能力`
} catch (error) {
return `❌ 检索记忆时出错：${error.message}`
}
}
getPATEOAS (args) {
const [query] = args
const currentState = query ? `recalled-${query}` : 'recall-waiting'
return {
currentState,
availableTransitions: ['hello', 'remember', 'learn', 'recall'],
nextActions: [
{
name: '选择角色',
description: '选择专业角色来应用检索到的知识',
method: 'MCP PromptX hello 工具'
},
{
name: '记忆新知识',
description: '继续内化更多专业知识',
method: 'MCP PromptX remember 工具'
},
{
name: '学习资源',
description: '学习相关专业资源',
method: 'MCP PromptX learn 工具'
},
{
name: '继续检索',
description: '检索其他相关记忆',
method: 'MCP PromptX recall 工具'
}
],
metadata: {
query: query || null,
resultCount: this.lastSearchCount || 0,
searchTime: new Date().toISOString(),
hasResults: (this.lastSearchCount || 0) > 0
}
}
}
/**
* 获取所有记忆（支持多行格式）
*/
async getAllMemories (query) {
this.lastSearchCount = 0
const memories = []
// 读取单一记忆文件
const { getDirectoryService } = require('../../../utils/DirectoryService')
const directoryService = getDirectoryService()
const memoryDir = await directoryService.getMemoryDirectory()
const memoryFile = path.join(memoryDir, 'declarative.md')
try {
if (await fs.pathExists(memoryFile)) {
const content = await fs.readFile(memoryFile, 'utf-8')
const memoryBlocks = this.parseMemoryBlocks(content)
for (const memoryBlock of memoryBlocks) {
const memory = this.parseMemoryBlock(memoryBlock)
if (memory && (!query || this.matchesMemory(memory, query))) {
memories.push(memory)
}
}
}
} catch (error) {
console.error('Error reading memories:', error)
}
this.lastSearchCount = memories.length
return memories
}
/**
* 解析记忆块（新多行格式）
*/
parseMemoryBlocks (content) {
const blocks = []
const lines = content.split('\n')
let currentBlock = []
let inBlock = false
for (const line of lines) {
if (line.match(/^- \d{4}\/\d{2}\/\d{2} \d{2}:\d{2} START$/)) {
// 开始新的记忆块
if (inBlock && currentBlock.length > 0) {
blocks.push(currentBlock.join('\n'))
}
currentBlock = [line]
inBlock = true
} else if (line === '- END' && inBlock) {
// 结束当前记忆块
currentBlock.push(line)
blocks.push(currentBlock.join('\n'))
currentBlock = []
inBlock = false
} else if (inBlock) {
// 记忆块内容
currentBlock.push(line)
}
}
// 处理未结束的块
if (inBlock && currentBlock.length > 0) {
blocks.push(currentBlock.join('\n'))
}
return blocks
}
/**
* 解析单个记忆块
*/
parseMemoryBlock (blockContent) {
const lines = blockContent.split('\n')
// 解析开始行：- 2025/06/15 15:58 START
const startLine = lines[0]
const startMatch = startLine.match(/^- (\d{4}\/\d{2}\/\d{2} \d{2}:\d{2}) START$/)
if (!startMatch) return null
const timestamp = startMatch[1]
// 查找标签行：--tags xxx
let tagsLine = ''
let contentLines = []
for (let i = 1; i < lines.length; i++) {
const line = lines[i]
if (line.startsWith('--tags ')) {
tagsLine = line
} else if (line !== '- END') {
contentLines.push(line)
}
}
// 提取内容（去除空行）
const content = contentLines.join('\n').trim()
// 解析标签
let tags = []
if (tagsLine) {
const tagsContent = tagsLine.replace('--tags ', '')
const hashTags = tagsContent.match(/#[^\s]+/g) || []
const regularTags = tagsContent.replace(/#[^\s]+/g, '').trim().split(/\s+/).filter(t => t)
tags = [...regularTags, ...hashTags]
}
return {
timestamp,
content,
tags,
source: 'memory'
}
}
/**
* 解析记忆行（向下兼容旧格式）
*/
parseMemoryLine (line) {
// 修复正则表达式，适配实际的记忆格式
// 格式：- 2025/05/31 14:30 内容 --tags 标签 ##分类 #评分:8 #有效期:长期
const match = line.match(/^- (\d{4}\/\d{2}\/\d{2} \d{2}:\d{2}) (.+)$/)
if (!match) return null
const [, timestamp, contentAndTags] = match
// 分离内容和标签
let content = contentAndTags
let tags = []
// 提取 --tags 后面的内容
const tagsMatch = contentAndTags.match(/--tags\s+(.*)/)
if (tagsMatch) {
const beforeTags = contentAndTags.substring(0, contentAndTags.indexOf('--tags')).trim()
content = beforeTags
// 解析标签部分，包括 --tags 后的内容和 # 开头的标签
const tagsContent = tagsMatch[1]
const hashTags = tagsContent.match(/#[^\s]+/g) || []
const regularTags = tagsContent.replace(/#[^\s]+/g, '').trim().split(/\s+/).filter(t => t)
tags = [...regularTags, ...hashTags]
} else {
// 如果没有 --tags，检查是否有直接的 # 标签
const hashTags = contentAndTags.match(/#[^\s]+/g) || []
if (hashTags.length > 0) {
content = contentAndTags.replace(/#[^\s]+/g, '').trim()
tags = hashTags
}
}
return {
timestamp,
content,
tags,
source: 'memory'
}
}
/**
* 检查记忆是否匹配查询
*/
matchesMemory (memory, query) {
const lowerQuery = query.toLowerCase()
return memory.content.toLowerCase().includes(lowerQuery) ||
memory.tags.some(tag => tag.toLowerCase().includes(lowerQuery))
}
matchesQuery (content, query) {
const lowerContent = content.toLowerCase()
const lowerQuery = query.toLowerCase()
const keywords = lowerQuery.split(/\s+/)
return keywords.some(keyword => lowerContent.includes(keyword))
}
/**
* 格式化检索到的记忆（支持多行显示）
*/
formatRetrievedKnowledge (memories, query) {
return memories.map((memory, index) => {
// 多行内容处理：如果内容包含换行，保持原始格式，但限制总长度
let content = memory.content
if (content.length > 200) {
// 保持换行结构但截断过长内容
const lines = content.split('\n')
let truncated = ''
let currentLength = 0
for (const line of lines) {
if (currentLength + line.length + 1 > 180) {
truncated += '...'
break
}
truncated += (truncated ? '\n' : '') + line
currentLength += line.length + 1
}
content = truncated
}
return `📝 ${index + 1}. **记忆** (${memory.timestamp})
${content}
${memory.tags.slice(0, 5).join(' ')}
---`
}).join('\n')
}
extractDomain (query) {
const domains = ['copywriter', 'scrum', 'developer', 'test', 'prompt']
const lowerQuery = query.toLowerCase()
return domains.find(domain => lowerQuery.includes(domain)) || null
}
getRelatedQuery (query) {
const relatedMap = {
copywriter: 'marketing',
scrum: 'agile',
frontend: 'ui',
backend: 'api',
test: 'qa'
}
for (const [key, value] of Object.entries(relatedMap)) {
if (query.toLowerCase().includes(key)) {
return value
}
}
return query + '-advanced'
}
}
module.exports = RecallCommand