fix: add pastParticipants to HistorySync with LID normalization and deduplication

Two bugs fixed compared to prior implementation:

1. history.ts — normalize userJid LID→PN
   pastParticipants[].userJid may arrive as a LID identifier (e.g. "46802258641027@lid").
   The consumer expects a phone number. After building the lidPnMap from conversations
   and phoneNumberToLidMappings, each userJid is resolved to its PN equivalent.
   If the mapping is not available the original value is preserved (no data loss).

2. event-buffer.ts — deduplicate by groupJid + userJid across chunks
   Multiple HistorySync chunks can contain the same group. The previous approach
   concatenated blindly, producing duplicate entries. Now a keyed map
   { [groupJid]: IPastParticipant[] } is used so each group appears once and
   each participant within a group appears at most once.

Types updated (Events.ts):
   - messaging-history.set event includes pastParticipants?: IPastParticipants[]
   - BufferedEventData.historySets.pastParticipants typed as keyed map

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Renato Alcara
2026-03-19 16:16:46 -03:00
parent a9e926b907
commit 64ec22d436
3 changed files with 47 additions and 0 deletions
+4
View File
@@ -27,6 +27,8 @@ export type BaileysEventMap = {
chats: Chat[]
contacts: Contact[]
messages: WAMessage[]
/** Past participants for group chats (people who left/were removed). userJid is always a phone number (PN), never a LID. */
pastParticipants?: proto.IPastParticipants[] | null
isLatest?: boolean
progress?: number | null
syncType?: proto.HistorySync.HistorySyncType | null
@@ -185,6 +187,8 @@ export type BufferedEventData = {
chats: { [jid: string]: Chat }
contacts: { [jid: string]: Contact }
messages: { [uqId: string]: WAMessage }
/** Keyed by groupJid for O(1) deduplication across chunks */
pastParticipants: { [groupJid: string]: proto.IPastParticipant[] }
empty: boolean
isLatest: boolean
progress?: number | null
+28
View File
@@ -1,4 +1,5 @@
import EventEmitter from 'events'
import { proto } from '../../WAProto/index.js'
import type {
BaileysEvent,
BaileysEventEmitter,
@@ -890,6 +891,7 @@ const makeBufferData = (): BufferedEventData => {
chats: {},
messages: {},
contacts: {},
pastParticipants: {},
isLatest: false,
empty: true
},
@@ -967,6 +969,28 @@ function append<E extends BufferableEvent>(
}
}
// Merge pastParticipants with deduplication by groupJid and by userJid within each group.
// Multiple HistorySync chunks can carry the same group -- we merge rather than concatenate
// to avoid duplicate entries in the final event delivered to the consumer.
for (const group of (eventData.pastParticipants ?? []) as proto.IPastParticipants[]) {
const groupJid = group.groupJid
if (!groupJid) continue
if (!data.historySets.pastParticipants[groupJid]) {
data.historySets.pastParticipants[groupJid] = []
}
const existing = data.historySets.pastParticipants[groupJid]
const seenJids = new Set(existing.map(p => p.userJid).filter(Boolean))
for (const participant of (group.pastParticipants ?? []) as proto.IPastParticipant[]) {
if (participant.userJid && !seenJids.has(participant.userJid)) {
existing.push(participant)
seenJids.add(participant.userJid)
}
}
}
data.historySets.empty = false
data.historySets.syncType = eventData.syncType
data.historySets.progress = eventData.progress
@@ -1292,6 +1316,10 @@ function consolidateEvents(data: BufferedEventData) {
chats: Object.values(data.historySets.chats),
messages: Object.values(data.historySets.messages),
contacts: Object.values(data.historySets.contacts),
// Convert dedup map back to array. Each entry has groupJid + participants (all unique userJids).
pastParticipants: Object.entries(data.historySets.pastParticipants).map(
([groupJid, participants]) => ({ groupJid, pastParticipants: participants })
),
syncType: data.historySets.syncType,
progress: data.historySets.progress,
isLatest: data.historySets.isLatest,
+15
View File
@@ -374,10 +374,25 @@ export const processHistoryMessage = (item: proto.IHistorySync, logger?: ILogger
// Convert Map back to array for return
const lidPnMappings = Array.from(lidPnMap.values())
// Normalize pastParticipants: resolve LID userJids → PN so the consumer always
// receives a phone number, never an opaque LID identifier.
// Uses the lidPnMap built above (populated from phoneNumberToLidMappings + conversations).
// If a LID cannot be resolved, the original value is kept rather than dropping the participant.
const pastParticipants: proto.IPastParticipants[] = (item.pastParticipants ?? []).map(group => ({
groupJid: group.groupJid,
pastParticipants: (group.pastParticipants ?? []).map(participant => {
const userJid = participant.userJid
if (!userJid || !isAnyLidUser(userJid)) return participant
const mapping = lidPnMap.get(jidNormalizedUser(userJid))
return mapping?.pn ? { ...participant, userJid: mapping.pn } : participant
})
}))
return {
chats,
contacts,
messages,
pastParticipants,
lidPnMappings,
syncType: item.syncType,
progress: item.progress