fe58fa5624
- 新增 D144-MODEL-STRATEGY.hdlp: 调研结论+三模型分工决策文档 - 更新 VOICE-LIPSYNC-ROUTER.hdlp: 增加mini路由+声音复刻独立产品线说明 - 更新 video-api-adapter.js: 扩展支持doubao-seedance-1-5-pro-251215和 doubao-seedance-2-0-mini-260615，增加generate_audio参数 - 新增 tests/test-new-models.sh: API连通性冒烟测试脚本 验证结果: - Seedance 1.5: 直接可用，JIMENG_API_KEY同一端点，curl测试43秒出片 - Seedance mini: 直接可用，模型ID已注册入SUPPORTED_MODELS - 声音复刻 2.0: 独立产品线，需豆包语音控制台单独开通
119 lines
4.4 KiB
Bash
119 lines
4.4 KiB
Bash
#!/bin/bash
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# 光湖视频AI系统 · 新模型连通性测试
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# D144 · 铸渊 ICE-GL-ZY001 · 2026-06-24
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# 测试: Seedance 1.5 + 声音复刻 2.0
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set -e
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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SYSTEM_DIR="$(dirname "$SCRIPT_DIR")"
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# 加载环境变量
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if [ -f "$SYSTEM_DIR/.env" ]; then
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set -a
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source "$SYSTEM_DIR/.env"
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set +a
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fi
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API_KEY="${JIMENG_API_KEY:-}"
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BASE_URL="${JIMENG_BASE_URL:-https://ark.cn-beijing.volces.com/api/v3}"
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if [ -z "$API_KEY" ]; then
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echo "❌ JIMENG_API_KEY 未设置"
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exit 1
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fi
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echo "══════════════════════════════════════════════"
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echo " 光湖视频AI · 新模型连通性测试"
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echo " D144 · 铸渊 ICE-GL-ZY001"
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echo "══════════════════════════════════════════════"
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echo ""
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# ─────────────────────────────────────
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# 测试 1: 尝试通过 /api/v3 旧端点调用 1.5
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# ─────────────────────────────────────
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echo "【测试1】Seedance 1.5 通过 /api/v3/contents/generations/tasks"
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echo "模型: doubao-seedance-1-5-pro-251215"
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echo ""
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RESP1=$(curl -s -w "\n%{http_code}" -X POST "${BASE_URL}/contents/generations/tasks" \
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-H "Authorization: Bearer ${API_KEY}" \
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-H "Content-Type: application/json" \
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-d '{
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"model": "doubao-seedance-1-5-pro-251215",
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"content": [{"type": "text", "text": "一朵花在阳光下缓缓绽放，微风吹过花瓣"}],
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"duration": 5,
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"resolution": "480p"
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}' 2>&1)
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HTTP_CODE1=$(echo "$RESP1" | tail -1)
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BODY1=$(echo "$RESP1" | sed '$d')
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echo "HTTP状态: $HTTP_CODE1"
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echo "响应: $(echo "$BODY1" | python3 -c "import sys,json; d=json.load(sys.stdin); print(json.dumps(d,indent=2,ensure_ascii=False))" 2>/dev/null || echo "$BODY1")"
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echo ""
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# ─────────────────────────────────────
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# 测试 2: 通过 /v1/video/generations 端点
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# ─────────────────────────────────────
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echo "【测试2】Seedance 1.5 通过 /v1/video/generations"
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echo "模型: doubao-seedance-1-5-pro-251215"
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echo ""
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# 用 https://ark.cn-beijing.volces.com 作为基础
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RESP2=$(curl -s -w "\n%{http_code}" -X POST "https://ark.cn-beijing.volces.com/v1/video/generations" \
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-H "Authorization: Bearer ${API_KEY}" \
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-H "Content-Type: application/json" \
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-d '{
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"model": "doubao-seedance-1-5-pro-251215",
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"prompt": "一朵花在阳光下缓缓绽放，微风吹过花瓣",
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"resolution": "480p",
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"ratio": "16:9",
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"duration": 5,
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"fps": 24,
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"watermark": false,
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"draft": true,
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"generate_audio": true
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}' 2>&1)
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HTTP_CODE2=$(echo "$RESP2" | tail -1)
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BODY2=$(echo "$RESP2" | sed '$d')
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echo "HTTP状态: $HTTP_CODE2"
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echo "响应: $(echo "$BODY2" | python3 -c "import sys,json; d=json.load(sys.stdin); print(json.dumps(d,indent=2,ensure_ascii=False))" 2>/dev/null || echo "$BODY2")"
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echo ""
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# ─────────────────────────────────────
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# 测试 3: 列出可用模型
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# ─────────────────────────────────────
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echo "【测试3】查询账号下可用模型列表"
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echo ""
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RESP3=$(curl -s -w "\n%{http_code}" -X GET "${BASE_URL}/models" \
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-H "Authorization: Bearer ${API_KEY}" \
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-H "Content-Type: application/json" 2>&1)
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HTTP_CODE3=$(echo "$RESP3" | tail -1)
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BODY3=$(echo "$RESP3" | sed '$d')
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if [ "$HTTP_CODE3" = "200" ]; then
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echo "✅ 模型列表查询成功"
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echo "$BODY3" | python3 -c "
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import sys, json
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d = json.load(sys.stdin)
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models = d.get('data', [])
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print(f'账号共 {len(models)} 个模型:')
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for m in models:
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mid = m.get('id', '?')
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mname = m.get('model', '?')
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print(f' - {mid} (model={mname})')
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" 2>/dev/null || echo "$BODY3"
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else
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echo "HTTP状态: $HTTP_CODE3 (可能此端点不支持)"
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fi
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echo ""
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echo "══════════════════════════════════════════════"
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echo " 测试完成"
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echo "══════════════════════════════════════════════"
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