taozuqin/ST-Bionic-Memory-Ecology
1
0
Fork 0
mirror of https://github.com/Youzini-afk/ST-Bionic-Memory-Ecology.git synced 2026-05-15 22:30:38 +08:00
Code Issues Packages Projects Releases Wiki Activity

Add debug log toggle and silence diagnostic logs

Browse Source
This commit is contained in:
Youzini-afk
2026-04-06 11:26:37 +08:00
parent b6187d46e0
commit 8320e3e7f6
23 changed files with 226 additions and 96 deletions
Download Patch File Download Diff File Expand all files Collapse all files

15
retriever.js
View File

@@ -2,6 +2,7 @@
// 融合向量预筛（PeroCore）+ 图扩散（PeroCore PEDSA）+ 可选 LLM 精确召回
// v2: + 认知边界过滤(RoleRAG) + 双记忆交叉检索(AriGraph) + 概率触发
import { debugLog } from "./debug-logging.js";
import { diffuseAndRank } from "./diffusion.js";
import { hybridScore, reinforceAccessBatch } from "./dynamics.js";
import {
@@ -838,7 +839,7 @@ export async function retrieve({
maxSegments: multiIntentMaxSegments,
},
);
console.log(
debugLog(
`[ST-BME] 检索开始: ${nodeCount} 个活跃节点${enableVisibility ? " (认知边界已启用)" : ""}`,
);
@@ -877,7 +878,7 @@ export async function retrieve({
const vectorStartedAt = nowMs();
if (enableVectorPrefilter && vectorValidation.valid) {
console.log("[ST-BME] 第1层: 向量预筛");
debugLog("[ST-BME] 第1层: 向量预筛");
const queryPlan = buildVectorQueryPlan(contextQueryBlend, {
enableMultiIntent,
maxSegments: multiIntentMaxSegments,
@@ -958,7 +959,7 @@ export async function retrieve({
const diffusionStartedAt = nowMs();
if (enableGraphDiffusion) {
console.log("[ST-BME] 第2层: PEDSA 图扩散");
debugLog("[ST-BME] 第2层: PEDSA 图扩散");
const seeds = [
...vectorResults.map((v) => ({ id: v.nodeId, energy: v.score })),
...exactEntityAnchors.map((item) => ({ id: item.nodeId, energy: 2.0 })),
@@ -1016,7 +1017,7 @@ export async function retrieve({
retrievalMeta.diffusionHits = diffusionResults.length;
retrievalMeta.timings.diffusion = roundMs(nowMs() - diffusionStartedAt);
console.log("[ST-BME] 第3层: 混合评分");
debugLog("[ST-BME] 第3层: 混合评分");
const scoreMap = new Map();
@@ -1168,7 +1169,7 @@ export async function retrieve({
let llmDurationMs = 0;
if (enableLLMRecall && nodeCount > 0) {
console.log("[ST-BME] LLM 精确召回");
debugLog("[ST-BME] LLM 精确召回");
llmCandidates = resolveCandidatePool(
scoredNodes,
normalizedLlmCandidatePool,
@@ -1247,7 +1248,7 @@ export async function retrieve({
reinforceAccessBatch(selectedNodes);
console.log(`[ST-BME] 检索完成: 选中 ${selectedNodeIds.length} 个节点`);
debugLog(`[ST-BME] 检索完成: 选中 ${selectedNodeIds.length} 个节点`);
if (enableProbRecall && probRecallChance > 0) {
const selectedSet = new Set(selectedNodeIds);
@@ -1265,7 +1266,7 @@ export async function retrieve({
for (const c of candidates) {
if (Math.random() < probability) {
selectedNodeIds.push(c.id);
console.log(
debugLog(
`[ST-BME] 概率触发: ${c.fields?.name || c.fields?.summary || c.id}`,
);
}