119 lines
3.7 KiB
Bash
Executable File
119 lines
3.7 KiB
Bash
Executable File
#!/usr/bin/env bash
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#
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# 验证 Whisper 转写服务：
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# 1. 检查 GPU 与容器运行状态
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# 2. 用测试音频发起 verbose_json 转写请求，校验响应契约
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# 3. （可选）检查 oral-trainer-api 的集成状态
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#
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# 用法：
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# ./verify.sh
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# ./verify.sh --file /path/to/speech.wav
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# ./verify.sh --url http://127.0.0.1:9000 --model Systran/faster-whisper-large-v3
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# ./verify.sh --api-url http://127.0.0.1:8000
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set -euo pipefail
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WHISPER_URL="${WHISPER_URL:-http://127.0.0.1:9000}"
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WHISPER_MODEL="${WHISPER_MODEL:-Systran/faster-whisper-large-v3}"
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TEST_FILE=""
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API_URL=""
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usage() {
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sed -n '2,9p' "$0" | sed 's/^# \{0,1\}//'
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}
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--url) WHISPER_URL="$2"; shift 2 ;;
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--model) WHISPER_MODEL="$2"; shift 2 ;;
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--file) TEST_FILE="$2"; shift 2 ;;
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--api-url) API_URL="$2"; shift 2 ;;
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-h|--help) usage; exit 0 ;;
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*) echo "未知参数: $1"; usage; exit 1 ;;
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esac
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done
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echo "==> Whisper 地址: $WHISPER_URL"
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echo "==> 模型: $WHISPER_MODEL"
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echo "==> 检查 GPU"
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if command -v nvidia-smi >/dev/null 2>&1; then
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nvidia-smi --query-gpu=name,memory.total,driver_version --format=csv,noheader | head -5
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else
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echo "警告: 未找到 nvidia-smi，请确认 NVIDIA 驱动与容器运行时已安装（容器需要 --gpus 支持）。"
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fi
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echo "==> 检查容器状态"
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if command -v docker >/dev/null 2>&1 && [[ -f docker-compose.yml ]]; then
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docker compose ps --status running | sed -n '1,3p'
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else
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echo "警告: 未在当前目录发现 docker-compose.yml，跳过容器状态检查。"
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fi
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TMP_DIR="$(mktemp -d)"
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trap 'rm -rf "$TMP_DIR"' EXIT
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if [[ -n "$TEST_FILE" ]]; then
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AUDIO_FILE="$TEST_FILE"
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else
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echo "==> 生成测试音频（3 秒 440Hz 正弦波）"
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if ! command -v ffmpeg >/dev/null 2>&1; then
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echo "错误: 未找到 ffmpeg，请安装或用 --file 指定真实语音文件。" >&2
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exit 1
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fi
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AUDIO_FILE="$TMP_DIR/tone.wav"
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ffmpeg -hide_banner -loglevel error -f lavfi \
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-i "sine=frequency=440:duration=3" -ar 16000 -ac 1 -y "$AUDIO_FILE"
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fi
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if [[ ! -f "$AUDIO_FILE" ]]; then
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echo "错误: 音频文件不存在: $AUDIO_FILE" >&2
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exit 1
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fi
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echo "==> 发起转写请求（verbose_json）"
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START_TS="$(date +%s)"
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RESPONSE="$(curl -sS --max-time 300 \
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-X POST "$WHISPER_URL/v1/audio/transcriptions" \
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-F "model=$WHISPER_MODEL" \
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-F "file=@$AUDIO_FILE" \
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-F "response_format=verbose_json" \
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-F "temperature=0")"
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ELAPSED="$(( $(date +%s) - START_TS ))"
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echo "$RESPONSE" | python3 -c '
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import json, sys
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payload = json.load(sys.stdin)
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text = payload.get("text")
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segments = payload.get("segments")
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assert isinstance(text, str), "响应缺少 text 字段"
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assert isinstance(segments, list), "响应缺少 segments 字段（需要 verbose_json）"
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for index, segment in enumerate(segments):
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start = segment.get("start")
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end = segment.get("end")
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if not (isinstance(start, (int, float)) and isinstance(end, (int, float)) and end > start >= 0):
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raise AssertionError(f"segments[{index}] 缺少合法 start/end")
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print(f"OK: text={text!r}")
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print(f"OK: segments={len(segments)} 条")
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'
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echo "==> 转写耗时: ${ELAPSED}s"
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if [[ -n "$API_URL" ]]; then
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echo "==> 检查 API 集成 ($API_URL/healthz)"
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curl -sS --max-time 15 "$API_URL/healthz" | python3 -c '
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import json, sys
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payload = json.load(sys.stdin)
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configured = payload.get("moss_configured")
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if configured is not True:
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raise SystemExit(f"错误: moss_configured={configured!r}，请检查 .env 中的 MOSS_TRANSCRIBE_URL")
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print("OK: moss_configured=true")
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'
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fi
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echo "全部检查通过。建议再用真实语音文件复核转写质量："
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echo " $0 --file /path/to/speech.wav"
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