Pin remaining unbounded deps, drop stale JS model-list fallback, add smoke test
pyannote.audio was still `>=3.1` — the same unbounded-constraint pattern that silently broke qwen3 (transformers>=4.45.0 resolving to a version without qwen3_asr support on a later rebuild). Confirmed it had already drifted once this session (4.0.4 -> 4.0.7). Pinned to the exact version the current diarization code (token=, .speaker_diarization) is verified against. asr.js's config-fetch failure path fabricated a hardcoded backend/model list that could silently drift from the server's real one (this is exactly how the wrong Qwen3-ASR-2B/8B model IDs stuck around). Replaced it with a visible error instead of a second source of truth. Added scripts/smoke_test.sh: hits every backend's /transcribe or /synthesize directly with a synthetic clip. Every regression found this session (wrong model IDs, pyannote API drift, cuDNN path conflict) would have shown up here immediately instead of waiting for a user to hit it. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
This commit is contained in:
@@ -7,16 +7,13 @@ async function loadConfig() {
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const r = await fetch('/asr/config');
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const r = await fetch('/asr/config');
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SERVER_CONFIG = await r.json();
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SERVER_CONFIG = await r.json();
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} catch (e) {
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} catch (e) {
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SERVER_CONFIG = {
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// No hardcoded fallback list here on purpose: the server's /asr/config is
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default_backend: 'faster-whisper',
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// the single source of truth for backend/model names. A duplicated guess
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default_model: 'large-v3',
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// here would silently drift out of sync with it (this has already bitten
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default_language: 'ko',
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// us once — see qwen3 model IDs). Surface the failure instead.
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backends: {
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SERVER_CONFIG = null;
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'faster-whisper': { models: ['tiny','base','small','medium','large-v3','large-v2','turbo'] },
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const el = document.getElementById('file-status');
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'qwen3': { models: ['Qwen/Qwen3-ASR-0.6B-hf','Qwen/Qwen3-ASR-1.7B-hf'] },
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if (el) el.textContent = '설정을 불러오지 못했습니다. 페이지를 새로고침해주세요.';
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'vibevoice': { models: ['microsoft/VibeVoice-ASR'] },
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},
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};
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}
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}
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initAsrUI();
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initAsrUI();
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}
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}
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@@ -2,5 +2,5 @@ fastapi==0.115.0
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uvicorn[standard]==0.30.6
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uvicorn[standard]==0.30.6
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python-multipart==0.0.9
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python-multipart==0.0.9
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faster-whisper==1.1.1
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faster-whisper==1.1.1
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pyannote.audio>=3.1
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pyannote.audio==4.0.7
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numpy
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numpy
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@@ -2,7 +2,7 @@
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fastapi==0.115.0
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fastapi==0.115.0
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uvicorn[standard]==0.30.6
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uvicorn[standard]==0.30.6
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python-multipart==0.0.9
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python-multipart==0.0.9
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transformers>=4.45.0
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transformers==5.14.1
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accelerate>=0.30.0
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accelerate>=0.30.0
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librosa>=0.10.0
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librosa>=0.10.0
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soundfile>=0.12.0
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soundfile>=0.12.0
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50
scripts/smoke_test.sh
Executable file
50
scripts/smoke_test.sh
Executable file
@@ -0,0 +1,50 @@
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#!/usr/bin/env bash
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# Minimal post-deploy smoke test. Hits every ASR/TTS worker's own endpoint
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# directly (bypassing the gateway's OIDC auth) with a synthetic test clip, to
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# catch startup/dependency/API-compat regressions before a user has to find
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# them (qwen3's wrong model IDs, pyannote's use_auth_token/token rename, and
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# the cuDNN LD_LIBRARY_PATH conflict all would have shown up here as an
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# immediate FAIL instead of a silent break discovered later).
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#
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# Run this after every `bash build.sh` + redeploy.
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set -uo pipefail
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CONTAINER="${SPEECH_CONTAINER:-speech}"
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TMP_WAV="/tmp/smoke_test_tone.wav"
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FAIL=0
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pass() { printf ' OK %s\n' "$1"; }
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fail() { printf 'FAIL %s: %s\n' "$1" "$2"; FAIL=1; }
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echo "=== generating synthetic test clip ==="
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podman exec "$CONTAINER" ffmpeg -y -f lavfi -i "sine=frequency=440:duration=3" -ar 16000 -ac 1 "$TMP_WAV" >/dev/null 2>&1
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echo "=== faster-whisper (8001) ==="
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resp=$(podman exec "$CONTAINER" curl -s -o /dev/null -w "%{http_code}" -X POST http://127.0.0.1:8001/transcribe \
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-F "file=@${TMP_WAV};type=audio/wav" -F "model=tiny" -F "language=ko")
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[ "$resp" = "200" ] && pass "faster-whisper" || fail "faster-whisper" "HTTP $resp"
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echo "=== qwen3 (8004) ==="
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resp=$(podman exec "$CONTAINER" curl -s -o /dev/null -w "%{http_code}" -X POST http://127.0.0.1:8004/transcribe \
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-F "file=@${TMP_WAV};type=audio/wav" -F "model=Qwen/Qwen3-ASR-0.6B-hf" -F "language=ko")
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[ "$resp" = "200" ] && pass "qwen3" || fail "qwen3" "HTTP $resp"
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echo "=== vibevoice (8006) ==="
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resp=$(podman exec "$CONTAINER" curl -s -o /dev/null -w "%{http_code}" -X POST http://127.0.0.1:8006/transcribe \
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-F "file=@${TMP_WAV};type=audio/wav" -F "model=microsoft/VibeVoice-ASR")
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[ "$resp" = "200" ] && pass "vibevoice" || fail "vibevoice" "HTTP $resp"
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echo "=== xtts (8005) ==="
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resp=$(podman exec "$CONTAINER" curl -s -o /dev/null -w "%{http_code}" -X POST http://127.0.0.1:8005/synthesize \
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-F "text=스모크 테스트입니다." -F "language=ko" -F "speaker_wav=${TMP_WAV}")
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[ "$resp" = "200" ] && pass "xtts" || fail "xtts" "HTTP $resp"
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podman exec "$CONTAINER" rm -f "$TMP_WAV"
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echo
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if [ "$FAIL" = "0" ]; then
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echo "all backends OK"
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else
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echo "one or more backends FAILED — check: podman logs $CONTAINER"
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fi
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exit "$FAIL"
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