chore: 恢复旧布局基线（迁移改动丢失后重建，apps/packages 布局暂存）
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@@ -0,0 +1,89 @@
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package ai
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import (
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"encoding/json"
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"os"
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"path/filepath"
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"strings"
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)
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// Config AI 配置;provider: stub|openai(OpenAI 兼容协议)。
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type Config struct {
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Provider string `json:"provider"`
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BaseURL string `json:"baseURL"`
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APIKey string `json:"apiKey,omitempty"`
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Model string `json:"model"`
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}
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func configPath() (string, error) {
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home, err := os.UserHomeDir()
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if err != nil {
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return "", err
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}
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return filepath.Join(home, ".opsxdb", "ai.json"), nil
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}
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// LoadConfig 读取配置:~/.opsxdb/ai.json 优先,env(OPSXDB_AI_*)兜底逐字段补充。
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func LoadConfig() Config {
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cfg := Config{
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Provider: strings.TrimSpace(os.Getenv("OPSXDB_AI_PROVIDER")),
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BaseURL: strings.TrimSpace(os.Getenv("OPSXDB_AI_BASE_URL")),
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APIKey: strings.TrimSpace(os.Getenv("OPSXDB_AI_API_KEY")),
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Model: strings.TrimSpace(os.Getenv("OPSXDB_AI_MODEL")),
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}
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if p, err := configPath(); err == nil {
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if b, err := os.ReadFile(p); err == nil {
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var f Config
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if json.Unmarshal(b, &f) == nil {
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if f.Provider != "" {
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cfg.Provider = f.Provider
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}
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if f.BaseURL != "" {
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cfg.BaseURL = f.BaseURL
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}
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if f.APIKey != "" {
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cfg.APIKey = f.APIKey
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}
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if f.Model != "" {
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cfg.Model = f.Model
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}
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}
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}
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}
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if cfg.Provider == "" {
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if cfg.APIKey != "" {
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cfg.Provider = "openai"
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} else {
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cfg.Provider = "stub"
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}
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}
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return cfg
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}
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// SaveConfig 写 ~/.opsxdb/ai.json(0600,与本机 token 同威胁模型)。
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func SaveConfig(c Config) error {
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p, err := configPath()
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if err != nil {
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return err
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}
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if err := os.MkdirAll(filepath.Dir(p), 0700); err != nil {
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return err
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}
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b, err := json.MarshalIndent(c, "", " ")
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if err != nil {
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return err
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}
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return os.WriteFile(p, b, 0600)
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}
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// MaskedKey 返回脱敏后的 key 展示形式(sk-***)。
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func (c Config) MaskedKey() string {
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k := c.APIKey
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if k == "" {
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return ""
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}
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if len(k) <= 6 {
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return "***"
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}
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return k[:3] + "***"
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}
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@@ -0,0 +1,117 @@
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package ai
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import (
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"bytes"
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"context"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"regexp"
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"strings"
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"time"
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)
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const (
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defaultOpenAIBaseURL = "https://api.openai.com/v1"
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defaultOpenAIModel = "gpt-4o-mini"
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)
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// OpenAIProvider OpenAI 兼容协议实现(DeepSeek/通义/本地 vLLM 同协议可用)。
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type OpenAIProvider struct {
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baseURL string
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apiKey string
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model string
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hc *http.Client
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}
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func NewOpenAIProvider(cfg Config) *OpenAIProvider {
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base := strings.TrimRight(strings.TrimSpace(cfg.BaseURL), "/")
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if base == "" {
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base = defaultOpenAIBaseURL
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}
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model := strings.TrimSpace(cfg.Model)
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if model == "" {
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model = defaultOpenAIModel
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}
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return &OpenAIProvider{
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baseURL: base,
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apiKey: cfg.APIKey,
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model: model,
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hc: &http.Client{Timeout: 60 * time.Second},
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}
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}
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func (p *OpenAIProvider) Name() string { return "openai" }
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type chatCompletionReq struct {
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Model string `json:"model"`
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Messages []Message `json:"messages"`
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}
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type chatCompletionRes struct {
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Choices []struct {
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Message Message `json:"message"`
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} `json:"choices"`
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Error *struct {
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Message string `json:"message"`
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} `json:"error"`
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}
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// Complete 单次非流式调用;ctx 全透传,HTTP 层 60s 超时兜底。
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func (p *OpenAIProvider) Complete(ctx context.Context, req ChatReq) (ChatRes, error) {
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model := p.model
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if strings.TrimSpace(req.Model) != "" {
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model = strings.TrimSpace(req.Model)
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}
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payload := chatCompletionReq{
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Model: model,
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Messages: BuildMessages(req),
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}
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body, err := json.Marshal(payload)
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if err != nil {
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return ChatRes{}, err
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}
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httpReq, err := http.NewRequestWithContext(ctx, http.MethodPost, p.baseURL+"/chat/completions", bytes.NewReader(body))
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if err != nil {
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return ChatRes{}, err
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}
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httpReq.Header.Set("Content-Type", "application/json")
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httpReq.Header.Set("Authorization", "Bearer "+p.apiKey)
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resp, err := p.hc.Do(httpReq)
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if err != nil {
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return ChatRes{}, fmt.Errorf("AI 请求失败: %w", err)
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}
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defer resp.Body.Close()
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raw, err := io.ReadAll(io.LimitReader(resp.Body, 4<<20))
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if err != nil {
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return ChatRes{}, fmt.Errorf("读取 AI 响应失败: %w", err)
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}
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var out chatCompletionRes
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if err := json.Unmarshal(raw, &out); err != nil {
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return ChatRes{}, fmt.Errorf("解析 AI 响应失败(HTTP %d)", resp.StatusCode)
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}
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if out.Error != nil {
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return ChatRes{}, fmt.Errorf("AI 服务返回错误: %s", out.Error.Message)
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}
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if resp.StatusCode != http.StatusOK {
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return ChatRes{}, fmt.Errorf("AI 服务 HTTP %d", resp.StatusCode)
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}
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if len(out.Choices) == 0 {
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return ChatRes{}, fmt.Errorf("AI 服务未返回候选结果")
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}
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content := strings.TrimSpace(out.Choices[0].Message.Content)
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return ChatRes{Content: content, SQL: extractSQL(content)}, nil
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}
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var sqlFence = regexp.MustCompile("(?s)```sql\\s*\n(.+?)```")
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// extractSQL 从模型回复中提取 ```sql 代码块内容。
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func extractSQL(content string) string {
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m := sqlFence.FindStringSubmatch(content)
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if len(m) < 2 {
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return ""
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}
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return strings.TrimSpace(m[1])
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}
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@@ -0,0 +1,72 @@
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package ai
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import (
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"fmt"
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"strings"
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)
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// schemaContextCap 注入给模型的库表结构上下文长度上限。
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const schemaContextCap = 4000
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// BuildMessages 按 action 选 system 模板装配对话;req.Schema 非空时注入库表列上下文。
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func BuildMessages(req ChatReq) []Message {
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driver := req.Driver
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if driver == "" {
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driver = "mysql"
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}
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sys := "你是资深数据库工程师助手,服务于数据库客户端 OpsxDB。回答使用中文,SQL 代码放在 ```sql 代码块中。"
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var task string
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switch strings.ToLower(req.Action) {
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case "generate", "ask":
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task = fmt.Sprintf("根据用户描述生成一条 %s 方言的 SQL。只输出可执行 SQL 与极简说明。", driver)
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case "explain":
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task = "逐部分解释用户给出的 SQL:访问路径、索引使用、潜在代价。"
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case "optimize":
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task = "审查用户给出的 SQL 并给出优化版本:索引建议、重写建议、说明理由。"
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case "fix":
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task = "根据报错信息修复用户给出的 SQL,指出错误原因并给出修正后的完整 SQL。"
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case "dialect":
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task = fmt.Sprintf("把用户给出的 SQL 转换为 %s 方言,保持语义一致。", driver)
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case "sample":
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task = "为当前库生成一条有代表性的示例查询 SQL。"
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default:
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task = "回答用户关于数据库 / SQL 的问题。"
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}
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var sb strings.Builder
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sb.WriteString(sys)
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sb.WriteString("\n")
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sb.WriteString(task)
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if req.Database != "" {
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sb.WriteString(fmt.Sprintf("\n当前数据库: %s(%s)", req.Database, driver))
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}
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if s := strings.TrimSpace(req.Schema); s != "" {
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if len(s) > schemaContextCap {
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s = s[:schemaContextCap]
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}
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sb.WriteString("\n当前数据库结构:\n")
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sb.WriteString(s)
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}
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var user strings.Builder
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if p := strings.TrimSpace(req.Prompt); p != "" {
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user.WriteString(p)
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}
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if s := strings.TrimSpace(req.SQL); s != "" {
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if user.Len() > 0 {
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user.WriteString("\n\n")
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}
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user.WriteString("SQL:\n")
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user.WriteString(s)
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}
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if e := strings.TrimSpace(req.Error); e != "" {
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user.WriteString("\n\n报错:\n")
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user.WriteString(e)
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}
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if user.Len() == 0 {
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user.WriteString("你好")
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}
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return []Message{
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{Role: "system", Content: sb.String()},
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{Role: "user", Content: user.String()},
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}
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}
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@@ -0,0 +1,45 @@
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package ai
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import "context"
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// Message 对话消息(OpenAI 兼容协议)。
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type Message struct {
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Role string `json:"role"`
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Content string `json:"content"`
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}
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// ChatReq 在 stub 时代字段上演进,前端契约不变;新增 schema/model 可选字段。
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type ChatReq struct {
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Action string `json:"action"`
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Prompt string `json:"prompt"`
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SQL string `json:"sql"`
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Driver string `json:"driver"`
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Database string `json:"database"`
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Error string `json:"error"`
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Schema string `json:"schema,omitempty"` // 前端注入的库表列上下文
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Model string `json:"model,omitempty"`
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}
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type ChatRes struct {
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Content string `json:"content"`
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SQL string `json:"sql,omitempty"`
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}
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// Provider AI 提供方抽象。本轮只做非流式 Complete;
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// Stream(ctx, req) (<-chan string, error) 预留,SSE 流式留待后续版本。
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type Provider interface {
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Name() string
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Complete(ctx context.Context, req ChatReq) (ChatRes, error)
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}
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// Default 按当前配置选择 Provider;未配置 API Key 时回落 stub(离线占位)。
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func Default() Provider {
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cfg := LoadConfig()
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switch cfg.Provider {
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case "openai":
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if cfg.APIKey != "" {
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return NewOpenAIProvider(cfg)
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}
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}
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return stubProvider{}
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}
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@@ -0,0 +1,93 @@
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package ai
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import (
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"context"
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"fmt"
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"strings"
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)
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// stubProvider 离线占位实现:未配置真实模型时的兜底,内容为字符串模板。
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type stubProvider struct{}
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func (stubProvider) Name() string { return "stub" }
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func (stubProvider) Complete(_ context.Context, req ChatReq) (ChatRes, error) {
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return chatStub(req), nil
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}
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func chatStub(req ChatReq) ChatRes {
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driver := req.Driver
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if driver == "" {
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driver = "mysql"
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}
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db := req.Database
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if db == "" {
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db = "your_db"
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}
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sql := strings.TrimSpace(req.SQL)
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prompt := strings.TrimSpace(req.Prompt)
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switch strings.ToLower(req.Action) {
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case "generate", "ask":
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q := prompt
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if q == "" {
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q = "示例查询"
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}
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gen := fmt.Sprintf("-- 根据描述生成（%s / %s）\n-- 需求: %s\nSELECT *\nFROM `%s`.some_table\nWHERE 1=1\nLIMIT 100;", driver, db, q, db)
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return ChatRes{
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Content: fmt.Sprintf("已根据「%s」生成 SQL（stub，可替换为真实模型）。\n\n```sql\n%s\n```", q, gen),
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SQL: gen,
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}
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case "explain":
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if sql == "" {
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sql = "SELECT 1"
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}
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return ChatRes{Content: fmt.Sprintf("## 解释 SQL\n\n```sql\n%s\n```\n\n- 这是一条在 **%s** 上执行的查询。\n- 建议检查 WHERE 条件是否走索引，避免 `SELECT *` 拉取过大结果集。\n- （stub 回复）", sql, driver)}
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case "optimize":
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opt := sql
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if opt == "" {
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opt = "SELECT id, name FROM users WHERE status = 1 LIMIT 100;"
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} else if strings.Contains(strings.ToUpper(opt), "SELECT *") {
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opt = strings.Replace(opt, "*", "id /* TODO: 显式列 */", 1)
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}
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opt = strings.TrimSpace(opt)
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if !strings.Contains(strings.ToUpper(opt), "LIMIT") {
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opt = opt + "\nLIMIT 100;"
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}
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return ChatRes{
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Content: fmt.Sprintf("## 优化建议\n\n1. 避免不必要的全表扫描\n2. 显式列出列名\n3. 加合理 LIMIT\n\n```sql\n%s\n```", opt),
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SQL: opt,
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}
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case "fix":
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fixed := sql
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if fixed == "" {
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fixed = "SELECT 1 AS ok;"
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}
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msg := req.Error
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if msg == "" {
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msg = "未知错误"
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}
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return ChatRes{
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Content: fmt.Sprintf("## 修复错误\n\n原错误：`%s`\n\n尝试修正后的 SQL：\n\n```sql\n%s\n```\n\n（stub：请结合真实报错继续调整）", msg, fixed),
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SQL: fixed,
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}
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case "dialect":
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out := sql
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if out == "" {
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out = "SELECT * FROM dual"
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}
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out = strings.ReplaceAll(out, "`", "\"")
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return ChatRes{
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Content: fmt.Sprintf("## 方言转换 → PostgreSQL 风格（示例）\n\n```sql\n%s\n```", out),
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SQL: out,
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}
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case "sample":
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sample := fmt.Sprintf("SELECT id, name, created_at\nFROM `%s`.users\nORDER BY id DESC\nLIMIT 20;", db)
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return ChatRes{
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Content: fmt.Sprintf("## 样例 SQL（%s）\n\n```sql\n%s\n```", driver, sample),
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SQL: sample,
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}
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default:
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return ChatRes{Content: "未知 AI 动作。可用：ask / generate / explain / optimize / fix / dialect / sample"}
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}
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}
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