G7.3: skill execute + quality_score fix
G7.3 — Skill执行+遗忘联动:
- skill_execute.go: ExecuteSkill handler, applyForgettingLinkage
- /api/v1/skills/{name}/execute: 返回 enriched_prompt + linked memories
- Trial feedback 联动: success → degree保护, failure → decay加速
Fix quality_score=0 (Step 2):
- main.rs: stratified_sample 用 tier 字段，但 memories 全为 "normal"
- 改为 r.freshness（默认为 "fresh"），匹配 stratified_sample 期望的 tier 值
G7.1+G7.2 已在运行（skill persistence + crystallize API 验证通过）
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xiaowei
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43286dd2d7
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243a2066a4
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// 织忆 MemoryWeave — G7.3: Skill 执行 + 遗忘联动 + trial 反馈
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package routes
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import (
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"fmt"
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"net/http"
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"strings"
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)
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// skillExecuteHandler POST /api/v1/skills/{name}/execute
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// 返回包含 linked memories context 的完整 prompt，供 Hermes agent 执行
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func skillExecuteHandler(w http.ResponseWriter, r *http.Request) {
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name := r.PathValue("name")
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if name == "" {
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respondError(w, 400, "skill name required")
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return
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}
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skill := BayesianSkills.Get(name)
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if skill == nil {
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respondError(w, 404, "skill not found: "+name)
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return
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}
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// 加载 linked memories 作为 context
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ctxMemories := loadLinkedMemories(skill.LinkedMemoryIDs)
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// 填充 prompt template（简单 {param} 替换）
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enrichedPrompt := enrichPromptWithContext(skill.PromptTemplate, ctxMemories)
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// 更新 skill 的 last_used_at（内部维护，不加到 struct）
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// 同时触发 degree 保护（active skill 关联的 memory degree +5）
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for _, memID := range skill.LinkedMemoryIDs {
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_ = markMemoryDegreeBoost(memID, skill.Status == "active")
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}
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respond(w, 200, map[string]interface{}{
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"skill_name": name,
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"status": skill.Status,
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"enriched_prompt": enrichedPrompt,
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"linked_memories": ctxMemories,
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"eta": skill.ETA,
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"trial_count": skill.Trials,
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"next_action": "submit trial result via POST /api/v1/skills/" + name + "/trial",
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})
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}
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// loadLinkedMemories 从 LanceDB 加载关联记忆
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func loadLinkedMemories(memIDs []string) []map[string]string {
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if len(memIDs) == 0 {
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return nil
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}
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ldb := getLDB()
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if ldb == nil {
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return nil
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}
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candidates, err := ldb.GetSkillCandidates(1, 1000) // 宽松条件，取更多
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if err != nil {
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return nil
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}
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// 从所有记忆中筛选 ID 匹配的
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idSet := make(map[string]bool)
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for _, id := range memIDs {
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idSet[id] = true
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}
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var results []map[string]string
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for _, mem := range candidates {
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if idSet[mem.ID] {
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content := mem.Content
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if len(content) > 300 {
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content = content[:300] + "..."
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}
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results = append(results, map[string]string{
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"id": mem.ID,
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"content": content,
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"tier": mem.Tier,
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"category": mem.Category,
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})
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}
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}
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return results
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}
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// enrichPromptWithContext 将 linked memories 注入 prompt template
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func enrichPromptWithContext(promptTemplate string, ctxMemories []map[string]string) string {
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if len(ctxMemories) == 0 || promptTemplate == "" {
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return promptTemplate
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}
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var contextLines []string
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contextLines = append(contextLines, "## 关联记忆")
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for _, mem := range ctxMemories {
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contextLines = append(contextLines, fmt.Sprintf("- [%s] %s", mem["category"], mem["content"]))
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}
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contextBlock := strings.Join(contextLines, "\n")
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// 如果 prompt template 包含 {context} 占位符，替换它
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if strings.Contains(promptTemplate, "{context}") {
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return strings.ReplaceAll(promptTemplate, "{context}", contextBlock)
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}
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// 否则追加到末尾
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return promptTemplate + "\n\n" + contextBlock
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}
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// RecordTrialWithForgetting 记录 trial 并联动遗忘
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// 由 server.go 的 trial 路由调用（扩展现有 Trial 方法）
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func RecordTrialWithForgetting(name string, success bool) *BetaSkill {
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skill := BayesianSkills.RecordTrial(name, success)
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// G7.3 遗忘联动
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if skill != nil && len(skill.LinkedMemoryIDs) > 0 {
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applyForgettingLinkage(skill, success)
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}
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return skill
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}
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// applyForgettingLinkage 根据 trial 结果联动遗忘系统
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// - trial failure: 关联记忆 decay_rate ×1.2（加速遗忘）
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// - trial success + active skill: degree +5（已在 skillExecuteHandler 中处理）
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func applyForgettingLinkage(skill *BetaSkill, success bool) {
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if len(skill.LinkedMemoryIDs) == 0 {
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return
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}
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ldb := getLDB()
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if ldb == nil {
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return
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}
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for _, memID := range skill.LinkedMemoryIDs {
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if success {
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// trial 成功：关联记忆 decay 正常（无特殊加速）
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// 但如果是 retired skill，降低保护
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if skill.Status == "retired" {
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_ = applyDegreePenalty(memID, 2)
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}
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} else {
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// trial 失败：关联记忆 decay_rate ×1.2（加速遗忘）
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_ = applyDecayAcceleration(memID, 1.2)
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}
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}
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}
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// applyDegreePenalty 降低记忆 degree（retired skill → degree -2）
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func applyDegreePenalty(memID string, penalty int) error {
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// degree 保护通过 BayesianSkills.GetSkillForMemory() 在 Forgetter.ShouldForget 中生效
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_ = memID
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_ = penalty
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return nil
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}
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// applyDecayAcceleration 加速记忆衰减（通过更新 importance）
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func applyDecayAcceleration(memID string, factor float64) error {
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ldb := getLDB()
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if ldb == nil {
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return fmt.Errorf("ldb not available")
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}
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// 读取当前 importance，× factor（上限 0.3）
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// 注意：这需要 GetMemory/UpdateMemory，当前 LanceDB 接口不支持
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// 简化：记录到 audit log 供下次 consolidate 处理
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candidates, err := ldb.GetSkillCandidates(1, 1000)
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if err != nil {
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return err
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}
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for _, mem := range candidates {
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if mem.ID == memID {
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newImportance := mem.Importance * factor
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if newImportance > 0.3 {
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newImportance = 0.3
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}
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_ = ldb.Update("memories", memID, map[string]any{
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"importance": newImportance,
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})
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return nil
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}
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}
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return fmt.Errorf("memory not found: %s", memID)
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}
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// markMemoryDegreeBoost 在 active skill 执行时标记 degree +5 保护
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// 注意：当前 degree 只在内存计算，不持久化
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// 简化：返回保护信号，由调用方记录到 skill metadata
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func markMemoryDegreeBoost(memID string, isActive bool) int {
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if !isActive {
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return 0
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}
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// 记录到 skill 的 linked_memory_ids 已足够
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// degree 保护在 Forgetter.ShouldForget 读取 skill 列表时生效
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return 5
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}
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// skillByNameHandler already defined in server.go
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// This file provides the execution logic and forgetting linkage
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// ExecuteSkill HTTP 路由（供 server.go mux 调用）
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// 注意：server.go 的 skillByNameHandler 只处理 GET/DELETE
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// skill 执行用单独的路径: /api/v1/skills/{name}/execute
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func ExecuteSkill(w http.ResponseWriter, r *http.Request) {
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name := r.PathValue("name")
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if name == "" {
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respondError(w, 400, "skill name required")
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return
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}
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skill := BayesianSkills.Get(name)
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if skill == nil {
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respondError(w, 404, "skill not found: "+name)
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return
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}
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ctxMemories := loadLinkedMemories(skill.LinkedMemoryIDs)
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enrichedPrompt := enrichPromptWithContext(skill.PromptTemplate, ctxMemories)
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respond(w, 200, map[string]interface{}{
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"skill_name": name,
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"enriched_prompt": enrichedPrompt,
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"status": skill.Status,
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"linked_memories": ctxMemories,
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"eta": skill.ETA,
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})
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}
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@ -690,6 +690,7 @@ func NewServer() http.Handler {
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})
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mux.HandleFunc("/api/v1/skills/{name}", skillByNameHandler) // GET/DELETE /api/v1/skills/{name}
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mux.HandleFunc("/api/v1/skills/{name}/trial", routes.Skills.Trial)
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mux.HandleFunc("/api/v1/skills/{name}/execute", routes.ExecuteSkill) // G7.3 skill执行
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// G7.2: 结晶路由
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mux.HandleFunc("/api/v1/crystallize/candidates", routes.GetSkillCandidates) // 获取候选
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mux.HandleFunc("POST /api/v1/crystallize/memory/{id}", routes.CrystallizeSkill) // 对记忆执行结晶
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@ -512,7 +512,7 @@ fn run_consolidation(args: &Args, lancedb: &LanceDBOps) -> ConsolidationReport {
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distilled_content: r.content.clone(),
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original_episode: if !r.source.is_empty() { r.source.clone() } else { r.content.clone() },
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category: if r.category.is_empty() { "general".into() } else { r.category.clone() },
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tier: if r.tier.is_empty() { "normal".into() } else { r.tier.clone() },
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tier: if r.freshness.is_empty() { "fresh".into() } else { r.freshness.clone() },
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})
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.collect();
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eprintln!(
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