450 lines
12 KiB
Go
450 lines
12 KiB
Go
package main
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import (
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"bytes"
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"database/sql"
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"encoding/json"
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"fmt"
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"log"
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"math/rand"
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"net/http"
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"path/filepath"
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"regexp"
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"sync/atomic"
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"strings"
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"time"
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"unicode"
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"unicode/utf8"
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_ "modernc.org/sqlite"
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)
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const cpaURL = "https://cpa.1216.top/v1/chat/completions"
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const cpaModel = "deepseek-v4-pro"
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const minKnowledgeRunes = 120
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type knowledgeData struct {
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Content string `json:"content"`
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Keyword string `json:"keyword"`
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}
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var knowledgeDB *sql.DB
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func initKnowledgeDB() {
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dbPath := filepath.Join(configDir(), "knowledge.db")
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var err error
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knowledgeDB, err = sql.Open("sqlite", dbPath)
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if err != nil {
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log.Println("知识库打开失败:", err)
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return
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}
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knowledgeDB.SetMaxOpenConns(1)
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_, err = knowledgeDB.Exec(`CREATE TABLE IF NOT EXISTS knowledge_cards (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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keyword TEXT NOT NULL,
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content TEXT NOT NULL,
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created_at DATETIME DEFAULT CURRENT_TIMESTAMP
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)`)
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if err != nil {
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log.Println("知识库建表失败:", err)
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}
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}
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func saveKnowledgeCard(keyword, content string) {
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if knowledgeDB == nil {
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return
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}
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_, err := knowledgeDB.Exec("INSERT INTO knowledge_cards (keyword, content) VALUES (?, ?)", keyword, content)
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if err != nil {
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log.Println("知识保存失败:", err)
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}
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}
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func getRandomKnowledgeCard(keyword string) string {
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if knowledgeDB == nil {
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return ""
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}
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rows, err := knowledgeDB.Query(
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"SELECT content FROM knowledge_cards WHERE keyword = ? ORDER BY RANDOM() LIMIT 20",
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keyword,
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)
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if err != nil {
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return ""
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}
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defer rows.Close()
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for rows.Next() {
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var content string
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if rows.Scan(&content) == nil {
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content = normalizeKnowledgeContent(content)
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if isQualityKnowledgeCard(content) {
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return content
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}
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}
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}
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return ""
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}
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func getKnowledgeCardCount(keyword string) int {
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if knowledgeDB == nil {
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return 0
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}
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var count int
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err := knowledgeDB.QueryRow(
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"SELECT COUNT(*) FROM knowledge_cards WHERE keyword = ?",
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keyword,
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).Scan(&count)
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if err != nil {
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return 0
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}
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return count
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}
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// systemPromptCodeMark 用于在 Go raw string 中拼接反引号
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const systemPromptCodeMark = "`"
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const knowledgeSystemPrompt = `你是一位在一线写了 15 年底层系统代码的工程师，只在踩过真实生产级坑之后才写知识卡片。
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内容铁律：
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- 必须是大多数人不知道的冷知识、反直觉行为、或版本变更导致的隐蔽 break
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- 必须包含至少一个精确数值（阈值/延迟/版本号/缓冲区大小/默认值等）
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- 必须讲清因果链：触发条件 → 内部机制 → 实际后果 → 正确做法
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- 禁止泛泛而谈，禁止复述文档，禁止入门级内容
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- 每次从不同角度切入，不要重复之前的知识点
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格式：
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- Markdown：**加粗**重点、` + systemPromptCodeMark + `行内代码` + systemPromptCodeMark + `标记术语、简短列表
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- 120-200字，紧凑无废话
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- 不要 emoji`
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func fetchKnowledgeFromLLM(keyword string, cfg *Config) string {
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basePrompt := buildKnowledgePrompt(keyword, cfg.KnowledgePrompt)
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messages := []map[string]string{
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{"role": "system", "content": knowledgeSystemPrompt},
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{"role": "user", "content": basePrompt},
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}
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body := map[string]interface{}{
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"model": cpaModel,
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"max_completion_tokens": 2048,
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"temperature": 0.8,
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"messages": messages,
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}
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content := requestKnowledgeCompletion(body)
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content = normalizeKnowledgeContent(content)
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if isQualityKnowledgeCard(content) {
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return content
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}
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log.Printf("知识卡片质量不足，重试: %q", content)
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messages = append(messages, map[string]string{
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"role": "assistant",
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"content": content,
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}, map[string]string{
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"role": "user",
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"content": fmt.Sprintf(
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"上面这条「%s」知识卡片质量不行：要么太短、要么没有具体数值、要么信息密度不够。"+
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"请换一个完全不同的角度重写，必须包含：一个精确数值 + 一个底层机制 + 一个生产踩坑场景。",
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keyword,
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),
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})
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body["messages"] = messages
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content = requestKnowledgeCompletion(body)
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content = normalizeKnowledgeContent(content)
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if isQualityKnowledgeCard(content) {
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return content
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}
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return ""
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}
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const promptCodeMark = "`"
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// 知识卡片随机切入角度，确保每次生成不同内容
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var knowledgeAngles = []string{
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"性能陷阱与调优",
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"并发/竞态/死锁",
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"内存泄漏与 GC",
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"网络协议底层行为",
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"安全漏洞与防御",
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"错误处理的隐蔽坑",
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"版本升级导致的 break change",
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"配置默认值的陷阱",
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"日志/监控/可观测性",
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"序列化/反序列化边界",
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"连接池/资源耗尽",
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"编译器/运行时的反直觉行为",
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"缓存一致性与失效",
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"时区/时间处理陷阱",
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"文件系统/IO 边界条件",
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}
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func buildKnowledgePrompt(keyword, customPrompt string) string {
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angle := knowledgeAngles[rand.Intn(len(knowledgeAngles))]
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basePrompt := fmt.Sprintf(`围绕「%s」从「%s」角度写一条面向资深开发者的技术知识卡片。
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要求：
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- 120-180字，信息密度极高
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- 必须是反常识、冷门陷阱、或版本差异等非常规知识点
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- 必须包含至少一个精确数值（如：默认超时 30s、缓冲区 4KB、Go 1.21 修复等）
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- 必须讲清因果链：什么场景触发 → 底层发生了什么 → 有什么后果 → 正确做法
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- 用 Markdown 格式：**加粗重点**、`+promptCodeMark+`行内代码`+promptCodeMark+`标记术语
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- 不要写常见知识点，不要复述官方文档`, keyword, angle)
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if customPrompt != "" {
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basePrompt += "\n附加风格要求（不能覆盖上面的字数和质量要求）：" + customPrompt
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}
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return basePrompt
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}
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func requestKnowledgeCompletion(body map[string]interface{}) string {
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jsonData, _ := json.Marshal(body)
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req, err := http.NewRequest("POST", cpaURL, bytes.NewReader(jsonData))
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if err != nil {
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log.Println("知识API请求创建失败:", err)
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return ""
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}
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key := loadConfig().cpaKey()
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if key == "" {
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log.Println("未配置知识卡片 API Key")
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return ""
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}
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req.Header.Set("Authorization", "Bearer "+key)
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req.Header.Set("Content-Type", "application/json")
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resp, err := httpClient.Do(req)
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if err != nil {
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log.Println("知识API请求失败:", err)
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return ""
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}
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defer resp.Body.Close()
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if resp.StatusCode != 200 {
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log.Printf("知识API返回状态码: %d", resp.StatusCode)
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if resp.StatusCode == 429 {
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// 限流：等待后用新 body 重试
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time.Sleep(3 * time.Second)
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req2, err2 := http.NewRequest("POST", cpaURL, bytes.NewReader(jsonData))
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if err2 != nil {
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return ""
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}
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req2.Header.Set("Authorization", "Bearer "+key)
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req2.Header.Set("Content-Type", "application/json")
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resp2, err2 := httpClient.Do(req2)
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if err2 != nil {
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log.Println("知识API重试失败:", err2)
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return ""
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}
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defer resp2.Body.Close()
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if resp2.StatusCode != 200 {
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log.Printf("知识API重试状态码: %d", resp2.StatusCode)
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return ""
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}
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resp = resp2
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} else {
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return ""
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}
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}
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var result struct {
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Choices []struct {
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Message struct {
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Content string `json:"content"`
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ReasoningContent string `json:"reasoning_content"`
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} `json:"message"`
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} `json:"choices"`
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}
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if json.NewDecoder(resp.Body).Decode(&result) != nil {
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log.Println("知识API响应解析失败")
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return ""
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}
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if len(result.Choices) == 0 {
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log.Println("知识API: choices 为空")
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return ""
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}
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if len(result.Choices) > 0 {
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c := result.Choices[0].Message.Content
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if c == "" {
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c = result.Choices[0].Message.ReasoningContent
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}
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return c
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}
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return ""
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}
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// normalizeKnowledgeContent 清洗 LLM 输出的格式残留，保留 Markdown 标记
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func normalizeKnowledgeContent(content string) string {
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content = strings.TrimSpace(content)
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// 去除整段代码块包裹
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if strings.HasPrefix(content, "```") && strings.HasSuffix(content, "```") {
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content = strings.TrimPrefix(content, "```")
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// 去除语言标识行
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if idx := strings.Index(content, "\n"); idx >= 0 && !strings.Contains(content[:idx], " ") {
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content = content[idx+1:]
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}
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content = strings.TrimSuffix(content, "```")
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content = strings.TrimSpace(content)
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}
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// 去除常见前缀
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content = strings.TrimPrefix(content, "知识卡片：")
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content = strings.TrimPrefix(content, "知识卡片:")
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content = strings.TrimPrefix(content, "正文：")
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content = strings.TrimPrefix(content, "正文:")
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// 统一换行
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content = strings.ReplaceAll(content, "\r\n", "\n")
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// 连续空行压缩为两个换行（Markdown 段落分隔）
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for strings.Contains(content, "\n\n\n") {
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content = strings.ReplaceAll(content, "\n\n\n", "\n\n")
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}
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// 行尾空白清理
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lines := strings.Split(content, "\n")
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for i, line := range lines {
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lines[i] = strings.TrimRight(line, " \t")
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}
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content = strings.Join(lines, "\n")
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return strings.TrimSpace(content)
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}
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var numberRe = regexp.MustCompile(`\d+`)
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// weakPhrases 空泛表述列表
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var weakPhrases = []string{
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"很重要", "非常重要", "很有用", "提升效率", "值得关注",
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"可以帮助", "广泛应用", "具有重要作用", "不可忽视", "具有重要意义",
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}
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// isQualityKnowledgeCard 检查质量：字数≥120、有空泛表述上限、必须含数字、信息密度
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func isQualityKnowledgeCard(content string) bool {
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runes := utf8.RuneCountInString(content)
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if runes < minKnowledgeRunes {
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return false
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}
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// 必须包含数字（确保有具体数值）
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if !numberRe.MatchString(content) {
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return false
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}
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// 空泛表述检查
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weakHits := 0
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for _, phrase := range weakPhrases {
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if strings.Contains(content, phrase) {
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weakHits++
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}
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}
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if weakHits >= 3 {
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return false
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}
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// 必须有标点（非空内容）
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if !strings.ContainsAny(content, "。；;：:，,") {
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return false
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}
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// 信息密度：非中文字符（代码、数字、标点、Markdown）占比 ≥ 15%
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nonCJK := 0
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for _, r := range content {
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if !unicode.Is(unicode.Han, r) && !unicode.IsSpace(r) {
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nonCJK++
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}
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}
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if float64(nonCJK)/float64(runes) < 0.10 {
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return false
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}
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return true
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}
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func pushKnowledgeJSON(content, keyword string) {
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data, _ := json.Marshal(knowledgeData{Content: content, Keyword: keyword})
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evalJS(fmt.Sprintf(`if(window.updateKnowledgeFromGo) window.updateKnowledgeFromGo(%s)`, string(data)))
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}
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var lastFetchTime int64 // unix timestamp, 限流冷却
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func fetchAndPushKnowledge() {
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// 30s 冷却，防止频繁点击触发限流
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now := time.Now().Unix()
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if now-atomic.LoadInt64(&lastFetchTime) < 30 {
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// 冷却中，回退显示缓存
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cfg := loadConfig()
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if cached := getRandomKnowledgeCard(cfg.KnowledgeKeyword); cached != "" {
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pushKnowledgeJSON(cached, cfg.KnowledgeKeyword)
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}
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return
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}
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atomic.StoreInt64(&lastFetchTime, now)
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cfg := loadConfig()
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keyword := cfg.KnowledgeKeyword
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if keyword == "" {
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return
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}
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var content string
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count := getKnowledgeCardCount(keyword)
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if count > 0 && rand.Intn(10) < 3 {
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content = getRandomKnowledgeCard(keyword)
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}
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if content == "" {
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content = fetchKnowledgeFromLLM(keyword, cfg)
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if content != "" {
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saveKnowledgeCard(keyword, content)
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}
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}
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if content == "" && count > 0 {
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content = getRandomKnowledgeCard(keyword)
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}
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if content == "" {
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pushKnowledgeJSON("知识卡片加载失败，稍后重试", keyword)
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return
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}
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pushKnowledgeJSON(content, keyword)
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preview := content
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if len(preview) > 30 {
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preview = preview[:30] + "..."
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}
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log.Println("知识卡片已推送:", preview)
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}
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func pushKnowledgeLoading(keyword string) {
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pushKnowledgeJSON("加载中...", keyword)
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}
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func pushKnowledgePlaceholder() {
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pushKnowledgeJSON("请设置知识关键字", "")
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}
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func knowledgeLoop() {
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initKnowledgeDB()
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cfg := loadConfig()
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if cfg.KnowledgeKeyword != "" && !cfg.HideKnowledge {
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if cached := getRandomKnowledgeCard(cfg.KnowledgeKeyword); cached != "" {
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pushKnowledgeJSON(cached, cfg.KnowledgeKeyword)
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} else {
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pushKnowledgeLoading(cfg.KnowledgeKeyword)
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}
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} else if cfg.KnowledgeKeyword == "" {
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pushKnowledgePlaceholder()
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}
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time.Sleep(3 * time.Second)
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cfg = loadConfig()
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if cfg.KnowledgeKeyword != "" && !cfg.HideKnowledge {
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fetchAndPushKnowledge()
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}
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ticker := time.NewTicker(30 * time.Minute)
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for range ticker.C {
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cfg := loadConfig()
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if cfg.KnowledgeKeyword != "" && !cfg.HideKnowledge {
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fetchAndPushKnowledge()
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}
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}
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}
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func triggerKnowledgeRefresh() {
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go fetchAndPushKnowledge()
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}
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