The Redis media:status key was only rewritten after a command received via
Redis. When the last track ended naturally (AudioPlayer Idle -> advanceQueue
with an empty queue), currentTrackItem was cleared but the status key was not
persisted — so the backend's cached status and the frontend's 10s polling
stayed stuck showing the finished track as 'playing' forever.
Wire a media-status sink (commandHandler provides the real redisPub to
MediaHandler) and re-publish status after auto-advance, so natural track end
updates the UI.
VoiceActivityTimeline was never given a data prop — the Activity tab always
showed an empty Recharts bar chart while the connection tab already had live
speaker state. Replace the dead chart with a live speaker/activity list fed
from the same WebSocket data, so the tab reflects real state instead of
misleading empty bars.
The voice_recordings table has no duration column, but the backend aliased
duration_bytes = size_bytes (file size in bytes) and RecordingCard divided it
by 60 as if it were seconds — a 3MB MP3 rendered as a nonsensical '55924:3'
fake timestamp. Drop the fabricated field and show real file size instead.
Also render edited_content fallback in the analysis search results for
consistency with message cards/detail.
message_updated broadcasts only {id, edited_content, edited_at} (+ reset
ai_* fields), but the frontend replaced the whole cached record, wiping
username/content/channel_id/created_at -> blank cards and the
'the channel_id of undefined' crash on /messages. Merge partials over the
existing record (list + detail), make list-patching channel-filter aware,
show edited content/badge, and fix the message_updated WS type.
Also broadcast type:'edited' + ai reset in message_updated so the live UI
matches the DB update.
Backend:
- GET /api/dashboard/activity?days=1..90 — daily buckets (messages,
flagged, active_users) + hourly distribution last 24h
- clamped days param, reuses existing indexes (idx_messages_created,
ai_status_created)
Frontend:
- ActivityChart: area chart messages+flagged per day, 7/14/30d range
- HourlyActivityChart: 24h bars with peak highlight
- ModerationDonut: clean/flagged/warned/error breakdown with live
summary line (server X% clean)
- Dashboard layout: activity 2/3 + donut 1/3, hourly + top channels
Verified: endpoint returns real data from prod DB (784/1897/8 msgs
per day), tsc clean backend+frontend.
Sebelumnya CI hanya build nix -> deploy tanpa verifikasi — placeholder
tests sempat rusak berbulan-bulan tanpa terdeteksi. Job 'test' baru:
- pnpm install + tsc --noEmit + vitest run untuk backend & discord-gateway
- biome check (errors fail, warnings pass)
- build-and-deploy now needs: test
packages/shared dihapus (5802d02), modul pindah ke src/shared/. Update
import placeholder.test.ts (gateway + backend) ke path lokal + aktifkan
tests/ di backend vitest config dengan alias @. Sebelumnya vitest run
gateway selalu gagal; sekarang 60+36 tests pass.
- recording-card: kartu aktif di-highlight (ring primary + glow pulse),
badge 'Now Playing'/'Loading'/'Paused', tombol play berubah jadi Pause
saat playing dan spinner saat loading, waveform equalizer beranimasi
(animate-eq, delay per bar) saat playing / pulse saat loading.
- recording-player: jadi now-playing panel — tombol play/pause + spinner
loading, progress bar + waktu (current/duration), status 'loading…',
audio element pindah ke sini + event onPlay/onPause/onWaiting/onCanPlay/
onPlaying/onError naik ke page.
- recordings/page: state isPlaying/isLoadingAudio + audioRef, togglePlay
(klik card lain = ganti track, klik card sama = pause/resume).
- globals.css: keyframes eq-bounce + card-glow.
Verified: FE tsc0, next build 10/10 static pages.
Voice page (connection tab):
- ListenControl baru: toggle Listen (Headphones) — mulai PcmPlayer dari
user gesture, subscribe onPcm WS, volume slider, bar level per-user
REAL dari PCM (bukan random).
- lib/audio/pcm-player.ts (baru): ScriptProcessorNode mixer — ring buffer
2s per user (hash FNV-1a sama dengan gateway), upsampling 24k→48k
linear, mix semua user ke mono, gain volume, cleanup ring diam 5s.
- useVoiceListen + hashUserId di hooks; auto-stop saat disconnect.
Recordings:
- recording-player: reset src+load+play() eksplisit (bukan autoPlay doang),
tampilkan filename + error state 'playback failed' kalau file rusak.
- recording-card: tombol Download fetch blob (CORS tele open) → objectURL
→ force download dengan nama asli; fallback buka tab baru kalau fetch
gagal; spinner saat mendownload.
Verified: FE tsc 0, next build 10/10 static pages.
Audit lanjutan: 6x 'LLM API request failed: Request was aborted' per jam.
Root cause: 9router/omniroute SELALU balas SSE (data: chunks) walau request
tanpa stream:true — SDK OpenAI non-stream menunggu FULL body sebelum parse,
jadi batch moderasi besar yang upstream-nya lambat kena timeout 30-60s dan
di-abort. llmClient sudah punya agregasi streaming (chunks → ChatCompletion).
Fix: stream:true di llmCaller (moderasi batch/individual), llmVision,
cultureLearner, userProfileLearner. Verified: SDK stream test 806ms vs
sebelumnya abort. Caller lain (recovery worker dll) lewat llmCaller sama.
Audit log produksi (sejak deploy13:38) menemukan 3 isu:
1. mediaDownloader.ts spawn /usr/bin/ffprobe + /usr/bin/ffmpeg (path keras) —
ENOENT di Nix karena binary cuma di ffmpeg-headless closure. Pakai
PATH-resolved ('ffprobe'/'ffmpeg') seperti voice-recording module
(ffmpegProcess.ts/transmitter.ts) — 5 media warning hilang.
2. individualFallbackProcessor log error 'Success' di level50 tiap fallback
BERHASIL (logModerationError dengan new Error('Success')) — ganti
logger.info dengan verdict yang sama; error log cuma untuk error asli.
3. moderationResponseParser: strip frasa penutup generik ('Tidak ada
indikasi pelanggaran.') yang masih sering dikeluarkan LLM walau prompt
melarang (277/1486 analisis mengandung frasa, termasuk hari ini).
sanitizeGenericCleanCloser hanya mencocok frasa di AKHIR, teks substantif
tetap utuh. Unit test: 6/6 pass.
Migration 0011 (add voice_recordings.transcription) when=1781388000000
lebih kecil dari 0010 (1781390000000) yang sudah ter-apply — drizzle
skip diam-diam (folderMillis <= max(created_at)), kolom transcription
tidak pernah dibuat. Recording OGG sukses tapi INSERT voice_recordings
gagal 42703 di produksi.
Fix: when=1785600000000 (> max applied 1785551832190) + apply manual
ALTER TABLE + insert row __drizzle_migrations dengan hash file yang
sama (c368acb0...) supaya gateway restart berikutnya skip (idempotent).
pnpm 11.17 mengabaikan field pnpm.onlyBuiltDependencies di package.json.
Native deps voice (@discordjs/opus, @lng2004/node-datachannel, zeromq, dll)
tidak pernah kebangun di Nix store karena flake pnpmInstall pakai
--ignore-scripts dan pnpm rebuild tanpa approval. Hasil: receiver/rekaman/
GoLive diam-diam tanpa decoder/encoder native.
pnpm approve-builds --all menulis allowBuilds:true per package di
pnpm-workspace.yaml (harus tracked — flake source cuma ikut file git).
node-crc tetap gagal build (MSRV cargo:: check) tapi tidak pernah
di-import di source — harmless.
Root cause voice tidak berfungsi di produksi: ffmpeg & yt-dlp cuma ada
di devShell, bukan di package discord-gateway. Bukti dari log gateway:
'FFmpeg/avconv not found!' saat voice:transmit:start (mic -> Discord),
yang juga mematikan music playback (StreamType.Arbitrary butuh ffmpeg)
dan segment muxing rekaman.
- buildInputs: pkgs.ffmpeg-headless + pkgs.yt-dlp
- wrapper export PATH ke keduanya sebelum exec node
Verifikasi: nix build PASS; closure berisi ffmpeg-8.1.2 + yt-dlp-2026.07.04;
wrapper PATH mengarah ke keduanya; ffmpeg/yt-dlp jalan.
Hapus tab Live + komponennya (LiveStream, ModQueue) dari halaman
dashboard — tab Stats/Users/Channels tetap. useReview tetap dipakai
messages page (review tab), jadi hook tidak dihapus.
Verifikasi: tsc PASS, biome 0 error, next build PASS.
msg.username bisa undefined saat pesan live masuk lewat WS
(message_updated Partial payload / capture tidak lengkap) ->
msg.username.charAt(0) TypeError, halaman /messages mati.
- message-card + search-panel: username?.charAt(0) ?? '?'
- created_at di-guard juga biar tidak render 'Invalid Date'
Verifikasi: tsc PASS, build PASS, biome 0 error. DB saat ini 0 row
null username (1176 total) — crash murni dari jalur WS live.
- useMessageDetail: guard attachments fetcher — revalidate bisa race
detail load, detail.data undefined saat fetcher jalan ->
TypeError 'Cannot read properties of undefined (reading channel_id)'
yang bikin halaman /messages mati (Next error boundary). Sekarang
fetcher balikin [] kalau channel_id belum ada; hapus non-null
assertion. Diverifikasi: /messages sebelumnya crash, sekarang render
dengan data asli (list, verdict, confidence, sticker, emoji).
- ResponsiveContainer (recharts 3.8): initialDimension -1 di render
pertama -> warning 'width(-1) and height(-1)'. Pakai height numerik
tetap (192/160/48) + minWidth/minHeight 0 -> calculatedHeight >0,
warning hilang; width tetap responsif via ResizeObserver. Chart
baru dirender setelah mount (useMounted) biar container punya ukuran.
Diverifikasi console: 0 warning, 0 error di dashboard & voice.
/api/chat/history 500 (relation "chatbot_messages" does not exist):
codebase di-rename mascot->chatbot (977a6f9) tapi tabel DB tidak
pernah di-migrate — backend SELECT dari chatbot_messages, DB masih
mascot_chat_messages dengan kolom mascot_response.
- Migration 0013 (idempotent): ALTER TABLE mascot_chat_messages RENAME
TO chatbot_messages, RENAME COLUMN mascot_response -> bot_response,
RENAME INDEX -> idx_chatbot_messages_user_created; journal when >
max(created_at) di __drizzle_migrations (0012)
- Diterapkan live via psql; riwayat chat lama tetap ada
- Verifikasi: GET /api/chat/history 200 + data, POST /api/chat 200
+ tersimpan (total history 1 -> 2)
Rombak data layer frontend:
- Hapus @tanstack/react-query (package.json, lockfile, provider di
dashboard layout) — ganti SWR 2.4.2 + SWRConfig (revalidateOnFocus
false, deduping 10s, no retry on 404)
- Semua hooks data ditulis ulang ke useSWR; useAction() helper baru
pengganti useMutation dengan surface kompatibel (mutate/mutateAsync/
isPending/error)
- useMessages + useMessagesHasMore share satu SWR key — probe cursor
yang tadinya dobel fetch API sekarang deduped
- WS sync (messages/media/recordings) pindah dari queryClient ke
SWR mutate dengan filter key + revalidate:false
- useMessageSearch() dipakai search-panel & search-overlay; search
overlay backdrop div -> button (fix a11y lint)
Rapikan UI + isi data:
- Tab stats recordings: placeholder 'coming soon' diganti stat asli
(total, ukuran, speaker unik, top speakers)
- Empty states konsisten via EmptyState (images/review/recordings),
EmptyState terima className
- biome check --write: 0 error, 8 warning pre-existing
- Verifikasi: tsc --noEmit PASS, next build PASS (11 halaman static),
API live dicek — semua endpoint dashboard/messages/guilds/config/
voice/media/recordings/review balikin data
QoL lanjutan dari fix60084b3: content pesan mentah masih nampilin
snowflake (<@&roleid>, <@userid>, <:emoji:id>) di log moderasi dan
prompt LLM. Sekarang dirender ke nama yang bisa dibaca:
- Gateway capture: metadata menyimpan mentionedRoles + mentionedUsers
(id+name) dari message.mentions, disimpan ke metadata JSON
- renderDiscordMentions(): <@&id> -> @RoleName, <@id> -> @Username,
<:name:id> -> :name:, fallback @role/@user — dipakai di
conversationContext (konteks LLM) dan moderationBuilders
(getAnalysisContent) sehingga LLM lihat nama role/user beneran,
bukan placeholder generik
- Frontend renderMessageContent() (mirror gateway) dipasang di semua
tempat nampilin content: message-card, message-detail(-view),
search-overlay, search-panel, users/channels section, live-stream,
mod-queue, review list; sticker-only message tetap [Sticker: name],
pesan teks+sticker kini ikut nampilin nama sticker
- tsc --noEmit PASS di gateway & frontend; renderDiscordMentions
diverifikasi manual (6 kasus: role/user/emoji/unknown/plain)
- Deleted the text analysis prompt constants and helpers as they are no longer needed.
- Added batch search functionality for Qdrant to optimize vector searches.
- Implemented methods for deleting expired Qdrant points and invalidating cache based on content hash.
- Updated text batch processor to use new timeout configurations and modified content building for moderation prompts.
- Enhanced text cache store to support new Qdrant integration and improved cache invalidation logic.
- Introduced a new user reputation model with a more nuanced trust scoring system, including penalties and rewards for user behavior.
- Added unit tests for the new trust model to ensure correctness of penalty and trust gain calculations.
- Updated configuration schema to reflect new timeout settings and removed deprecated OpenAI moderation keys.
New qdrantClient.ts (zero-dep fetch REST): ensure collection with cosine
distance (auto-recreate on vector-size change), upsert point w/ verdict
payload, search w/ expires_at filter + score threshold.
textCacheStore: when QDRANT_URL set, embeddings are upserted to Qdrant
(primary) and searched there first; Postgres embedding column remains as
legacy fallback for pre-Qdrant rows. Config: QDRANT_URL/COLLECTION/API_KEY.
QDRANT_URL already in repo .env; added to VPS env + GATEWAY_ENV secret.
Drizzle 0.45 migrate() runs only migrations with folderMillis > the
latest created_at in __drizzle_migrations. Hand-written when was
1781580000000 (June 16) < stored 1781672400000 (June 17), so 0012 was
silently skipped and the embedding column never created. Bumped when to
now; migrator will apply it on next deploy.
OpenAI SDK v6 defaults to encoding_format=base64; llama-nemotron-embed
(Nvidia-backed) returns 400 'do not support base64'. Semantic cache was
silently disabled in prod. encoding_format: 'float' fixes it.
Previously /etc/gmw/*.env was managed by hand on the VPS; AI_LLM_* and
other vars drifted silently (AI_LLM_EMBEDDING_MODEL was missing until
added manually today). Now:
- BACKEND_ENV / GATEWAY_ENV secrets hold the full env block per service
- deploy.yml streams the secret to the VPS via stdin before the deploy
(never through argv — no shell escaping issues, no secret exposure)
- env file chown'd gmw:gmw, chmod 600; empty secret = skip (no clobber)
- .env.example documents the declarative workflow
Update production env = edit the Gitea secret + push, never SSH by hand.
TS compiled this fine, but the JS spec forbids mixing || and ??
without explicit parens; Node threw 'Unexpected token ??' at startup,
crash-looping gmw-discord-gateway (restart counter 250). Wrap the
fallback chain in parens so the expression is valid.
Root cause: ai-analysis-worker read llmResult.explanation and
llmResult.toxicityScore — fields the LLM pipeline never produces
(canonical AnalysisResult uses analysis/score). Every message fell back
to the bare template "Tidak ada indikasi pelanggaran." and the stored
score was always 0.
- Map analysis/score correctly; fallback now quotes the message content
- Prompt: ban generic analysis phrasing, require reply context
- LLM context: include replied-to message content (metadata.reference)
so the model can explain what the user is replying to
- Frontend: show thread/channel names from metadata instead of raw IDs
(message card, detail views, search overlay); detail panel now
displays the ai_analysis text
- Auto-delete log/DM include the descriptive analysis as the reason
Delete fastClassifier.ts (manual regex patterns for phone/email/IP/crypto/
spam/toxicity) and simpleFallback.ts. These hardcoded patterns were the
source of false positives (Discord emoji snowflakes matched phone_number,
URL digits matched phone, etc.) and produced heuristic verdicts whenever
the LLM failed.
New flow: Message → LLM (with conversation context, media evidence, user
reputation) → verdict. On LLM failure the message is marked 'error' and
retried by the recovery worker — no heuristic verdicts, ever.
Discord markdown tokens (custom emoji/mentions/timestamps) are normalized
to readable placeholders ([emoji:name], @user, @role, #channel, [time])
before reaching the LLM via discordTokens.ts.
Custom emoji (<:name:id>), user/role/channel mentions and timestamps embed
long numeric snowflakes that tripped the phone_number / personal_info /
ip_address_sharing patterns — e.g. <:mambotongue:1463255254220148939> was
flagged as phone_number. Strip Discord markdown tokens before pattern
matching and require phone matches to not sit inside a longer digit run.
- API/WS clients: same-origin by default, drop dead imphnen hardcode
- chatbot history: map BE rows {user_message,bot_response,created_at}
- message_deleted WS payload: object {id,deleted_at}, not bare string
- dashboard: wire top-channels chart + live mod queue from /api/review,
add Users & Channels tabs consuming /api/dashboard/users|channels
- recordings: live WS sync via voice_recording_uploaded; duration_bytes optional
- remove dead widgets with no BE data source (trend chart, heatmap)
asepharyana