MurasameNoa/chatgpt-plugin
1
0
Fork 0
mirror of https://github.com/ikechan8370/chatgpt-plugin.git synced 2025-12-16 21:37:11 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

fix: memory retrieval bug

Browse source
This commit is contained in:
ikechan8370 2025-11-05 15:45:34 +08:00
parent 9a5fe1d610
commit e8d655d87b
1 changed files with 47 additions and 19 deletions
Download patch file Download diff file Expand all files Collapse all files

66
models/memory/database.js
View file

@ -587,39 +587,65 @@ function createVectorTable (db, dimension) {
function ensureVectorTable (db) {
ensureMetaTable(db)
if (cachedVectorDimension) {
if (cachedVectorDimension !== null) {
return cachedVectorDimension
}
const preferredDimension = resolvePreferredDimension()
const stored = getMetaValue(db, META_VECTOR_DIM_KEY)
const storedModel = getMetaValue(db, META_VECTOR_MODEL_KEY)
const currentModel = ChatGPTConfig.llm?.embeddingModel || ''
const tableExists = Boolean(db.prepare(`
SELECT name FROM sqlite_master
WHERE type = 'table' AND name = 'vec_group_facts'
`).get())
const parseDimension = value => {
if (!value && value !== 0) return 0
const parsed = parseInt(String(value), 10)
return Number.isFinite(parsed) && parsed > 0 ? parsed : 0
}
let dimension = parseDimension(stored)
let needsTableReset = false
if (dimension <= 0 && tableExists) {
needsTableReset = true
}
if (!storedModel || storedModel !== currentModel) {
needsTableReset = true
dimension = parseDimension(preferredDimension)
}
if (dimension <= 0 && preferredDimension > 0) {
dimension = preferredDimension
}
if (needsTableReset && tableExists) {
try {
db.exec('DROP TABLE IF EXISTS vec_group_facts')
} catch (err) {
logger?.warn?.('[Memory] failed to drop vec_group_facts during model change:', err)
}
setMetaValue(db, META_VECTOR_MODEL_KEY, currentModel)
setMetaValue(db, META_VECTOR_DIM_KEY, '0')
cachedVectorDimension = 0
cachedVectorModel = currentModel
return cachedVectorDimension
}
let dimension = stored ? parseInt(stored, 10) : null
if (!dimension || Number.isNaN(dimension) || dimension <= 0) {
cachedVectorDimension = 0
return cachedVectorDimension
let tablePresent = !needsTableReset && tableExists
if (dimension > 0 && !tablePresent) {
try {
createVectorTable(db, dimension)
tablePresent = true
} catch (err) {
logger?.error?.('[Memory] failed to (re)create vec_group_facts table:', err)
dimension = 0
}
}
const exists = db.prepare(`
SELECT name FROM sqlite_master
WHERE type = 'table' AND name = 'vec_group_facts'
`).get()
if (!exists) {
createVectorTable(db, dimension)
}
cachedVectorDimension = dimension
setMetaValue(db, META_VECTOR_MODEL_KEY, currentModel)
setMetaValue(db, META_VECTOR_DIM_KEY, dimension > 0 ? String(dimension) : '0')
cachedVectorDimension = dimension > 0 ? dimension : 0
cachedVectorModel = currentModel
return dimension
return cachedVectorDimension
}
export function resetVectorTableDimension (dimension) {
@ -699,6 +725,7 @@ export function getVectorDimension () {
export function resetCachedDimension () {
cachedVectorDimension = null
cachedVectorModel = null
}
export function resetMemoryDatabaseInstance () {
@ -711,4 +738,5 @@ export function resetMemoryDatabaseInstance () {
}
dbInstance = null
cachedVectorDimension = null
cachedVectorModel = null
}