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feat: 放大 AI 规格候选上限至150条 (#284)

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chengma
2026-08-21 10:52:32 +08:00
parent c7f0ba9f9e
commit b50987824c
2 changed files with 13 additions and 13 deletions
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admin/service/ai_specmatch.go
+3 -3
View File
@@ -17,9 +17,9 @@ import (
const (
AISpecMatchPromptVersion = "spec_prompt_v1"
// 单次模型调用最多携带 100 个已过滤的可购买候选。超过这个数量时，
// 单次模型调用最多携带 150 个已过滤的可购买候选。超过这个数量时，
// 候选本身仍会写入审计记录，但不会让模型在过于宽泛的范围里猜测。
maxAIModelCandidates = 100
maxAIModelCandidates = 150
)
type AIMatchSnapshot struct {
@@ -151,7 +151,7 @@ func MatchSybSpecWithAI(ctx context.Context, db *sql.DB, actor *model.User, snap
}
if len(eligible) > maxAIModelCandidates {
baseDecision.CandidatesJSON = candidateAuditJSON(bindAICandidates(eligible))
return recordAIMatchWithoutSave(db, baseDecision, "rejected", "可购买候选超过 100 条，请先人工核对")
return recordAIMatchWithoutSave(db, baseDecision, "rejected", "可购买候选超过 150 条，请先人工核对")
}
bindings := bindAICandidates(eligible)
baseDecision.CandidatesJSON = candidateAuditJSON(bindings)
admin/service/ai_specmatch_test.go
+10 -10
View File
@@ -73,23 +73,23 @@ func TestResolveExtraDimensionSignals_额外维度必须有确定信号(t *testi
}
func TestMatchSybSpecWithAI_候选白名单低置信度和人工优先(t *testing.T) {
t.Run("100个合格候选允许调用模型", func(t *testing.T) {
t.Run("150个合格候选允许调用模型", func(t *testing.T) {
db := newTestDB(t)
actor := seedAIMatchContextWithData(t, db, "SYB-AI-100", "黑色,M", collectedAIChoicesWithCount(t, 100))
actor := seedAIMatchContextWithData(t, db, "SYB-AI-150", "黑色,M", collectedAIChoicesWithCount(t, 150))
fake := &fakeAIModelClient{response: AIModelMatchResponse{Conclusion: "match", CandidateID: "C01", ConfidenceBPS: 9200, Reason: "候选之一规格一致"}}
result, err := MatchSybSpecWithAI(context.Background(), db, &actor, testAIMatchSnapshot(fake), "SYB-AI-100", "")
if err != nil || result.Outcome != "ai_saved" || fake.calls != 1 || len(fake.last.Candidates) != 100 {
t.Fatalf("100 条候选应调用模型: result=%+v calls=%d candidate_count=%d err=%v", result, fake.calls, len(fake.last.Candidates), err)
result, err := MatchSybSpecWithAI(context.Background(), db, &actor, testAIMatchSnapshot(fake), "SYB-AI-150", "")
if err != nil || result.Outcome != "ai_saved" || fake.calls != 1 || len(fake.last.Candidates) != 150 {
t.Fatalf("150 条候选应调用模型: result=%+v calls=%d candidate_count=%d err=%v", result, fake.calls, len(fake.last.Candidates), err)
}
})
t.Run("101个合格候选不调用模型也不保存映射", func(t *testing.T) {
t.Run("151个合格候选不调用模型也不保存映射", func(t *testing.T) {
db := newTestDB(t)
actor := seedAIMatchContextWithData(t, db, "SYB-AI-101", "黑色,M", collectedAIChoicesWithCount(t, 101))
actor := seedAIMatchContextWithData(t, db, "SYB-AI-151", "黑色,M", collectedAIChoicesWithCount(t, 151))
fake := &fakeAIModelClient{err: errors.New("候选超过上限时不应调用模型")}
result, err := MatchSybSpecWithAI(context.Background(), db, &actor, testAIMatchSnapshot(fake), "SYB-AI-101", "")
if err != nil || result.Outcome != "rejected" || result.Message != "可购买候选超过 100 条，请先人工核对" || fake.calls != 0 {
t.Fatalf("101 条候选应在模型调用前拒绝: result=%+v calls=%d err=%v", result, fake.calls, err)
result, err := MatchSybSpecWithAI(context.Background(), db, &actor, testAIMatchSnapshot(fake), "SYB-AI-151", "")
if err != nil || result.Outcome != "rejected" || result.Message != "可购买候选超过 150 条，请先人工核对" || fake.calls != 0 {
t.Fatalf("151 条候选应在模型调用前拒绝: result=%+v calls=%d candidate_count=%d err=%v", result, fake.calls, len(fake.last.Candidates), err)
}
assertNoAIMapping(t, db)
})