asepharyana
b3418ad799
- Added eager selfbot voice connection establishment to ensure video capture works seamlessly during voice channel joins. - Introduced a manual video watch command for selfbots to allow operators to initiate screen recording of other members' streams. - Enhanced video recording functionality to split recordings into segments based on user activity, similar to voice recordings. - Fixed mobile navigation issues by extending the navbar to include all items and ensuring responsive form controls. - Standardized error handling across frontend components to improve user experience during failures.
57 lines
3.3 KiB
Markdown
57 lines
3.3 KiB
Markdown
# Spec: Perbaiki Delay Attachment 162s→<20s (GMW AI Analysis)
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Tanggal: 2026-08-24 · Repo `~/GMW` · Service discord-gateway
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## Evidence (audit produksi)
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Klaster pesan attachment delay ~330–400 detik. Trace pesan `1541417073245290638` (.gif):
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19:01:08 dibuat → 19:01:09 batch incomplete → fan-out individual → **guard upload-pending
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mengembalikan `results:[]`** → diperalakukan sukses (`complete ... (undefined)`) → row
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tertahan `ai_status='processing'` **tanpa penanggung jawab** → 19:06:12 cleanup mengembalikan
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ke `pending` (tepat 300s) → baru dianalisis. Plus vision gagal 3× utk GIF besar
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("Stream ended before producing a non-ping SSE event") → degradasi teks.
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## Root causes
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- **A (fatal)**: `individualFallbackProcessor.processIndividualFallback` memperlakukan
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`ok:true + results:[]` sebagai sukses. Race-guard upload di `ai-analysis-worker.processIndividual`
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sengaja balik `results:[]` (desain lama) → pesan yatim `processing` sampai cleanup 300s.
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- **B**: `llmVision` hanya mencoba `stream:true`; kegagalan SSE truncation pada gambar besar
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= 3 retry sia-sia (semua jalur sama) → bukti media hilang.
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- **C**: safety-net cleanup 300s terlalu lambat sbg satu-satunya pemulih `processing`.
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## Fix
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1. **F1 — sinyal eksplisit upload-pending**: `IndividualOkResponse` + field opsional
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`uploadPending?: boolean`. Worker set `uploadPending:true` saat race guard kena.
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2. **F2 — processor menangani 3 kondisi** via helper murni baru
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`classifyIndividualWorkerResult(result): "success" | "upload_pending" | "incomplete" | "error"`
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(modul baru `fallbackResultClassifier.ts`, zero-dep agar mudah dites):
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- `upload_pending` → tulis ulang row ke `pending` (pola sama dgn revert apiFailed di
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batchProcessor) + broadcast + **re-schedule analisis percakapan segera**
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(dynamic import batchScheduler, pola anti-siklus yg sudah ada) → retry dalam ~250ms
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begitu upload beres. Bukan error, tidak naikkan CB counter.
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- `incomplete` (flags analysis_incomplete) → perilaku lama (exhausted path).
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- `error` / `results kosong tanpa penjelasan` → throw transien (retry oleh recovery),
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BUKAN sukses palsu. Log "(undefined)" hilang.
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3. **F3 — vision non-stream fallback**: di `llmVision`, jika error match
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`/Stream ended before producing a non-ping SSE|stream ended/i` → coba SEKALI lagi dengan
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`stream:false` (router agregasi penuh; timeout tetap 60s). Konversi hard-fail jadi sukses.
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4. **F4 — turunkan safety net**: default `revertStuckProcessingMessages` 300000 → 120000 ms.
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## File disentuh
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- `src/modules/ai-moderation/fallbackResultClassifier.ts` (BARU, pure)
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- `src/modules/ai-moderation/ai-analysis-worker.ts` (tipe + set flag uploadPending)
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- `src/modules/ai-moderation/individualFallbackProcessor.ts` (konsumsi classifier + reschedule)
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- `src/modules/ai-moderation/llmClient.ts` (fallback non-stream di llmVision)
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- `src/modules/message-capture/messagesCleanup.ts` (default 120s)
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## Verifikasi
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- Test baru `tests/fallbackResultClassifier.test.ts` (4 klasifikasi + edge kosong).
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- Gate: tsc --noEmit, biome error-level, vitest run semua hijau.
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- Deploy GHA sukses; pasca-deploy: pesan attachment baru p50 < 20s
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(`SELECT percentile_cont(0.5) ... WHERE metadata attachments>0 AND created_at > deploy`),
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tidak ada lagi "complete ... (undefined)".
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