NVIDIA fix: - Replace parse_vlm_json (requires full schema: global_summary/entities_json/ frame_details/compute_provider) with lightweight _parse_single_frame_json that only extracts per-frame fields (person/action/clothing/etc) - Root cause: NVIDIA adapter does per-frame analysis returning single-frame JSON, but parse_vlm_json rejected it for missing full-schema fields - Verified: task 297 → 6/6 frames parsed successfully, first SUCCESS Gemini + circuit breaker tuning: - Gemini timeout: 30s → 90s (multi-image vision analysis needs more time) - NVIDIA timeout: 20s → 30s (per-frame API call) - Circuit breaker threshold: 3 → 5 (less aggressive tripping) - Circuit breaker cooldown: 600s → 300s (faster recovery)
86 lines
2.7 KiB
YAML
86 lines
2.7 KiB
YAML
# FAM-Edge 配置文件 (Oracle 端) - 多模型池配置
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# Tailscale: Oracle=100.74.137.126, NAS=100.70.234.39
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# NAS 端回调地址
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nas:
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webhook_url: "http://100.70.234.39:8000/api/core/callback/event"
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media_base_url: "http://100.70.234.39:8000/media"
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media_token: "sentinel-media-2026"
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# Oracle 端服务
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server:
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host: "0.0.0.0"
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port: 5000
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max_concurrent_tasks: 1
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# 编排调度模式: fallback(顺序降级, 默认) | ensemble(并行交叉验证)
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orchestrator:
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mode: "fallback"
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overall_timeout: 600
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# 关键帧筛选参数(自适应:帧数随视频时长动态计算)
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video:
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candidate_per_minute: 2 # 每分钟粗抽候选帧数
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candidate_min: 30 # 候选帧下限(短视频保底)
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candidate_max: 120 # 候选帧上限(超长视频截断)
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key_frame_interval_sec: 150 # 关键帧间隔(秒),每2.5分钟1张
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min_key_frames: 5 # 关键帧下限(帧差不足时补足到此数)
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max_key_frames_floor: 8 # 关键帧上限的下限(短视频保底)
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max_key_frames_cap: 30 # 关键帧上限(超长视频截断)
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mse_threshold: 500
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jpeg_quality: 80
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max_long_edge: 1024
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# 超时(秒)
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timeout:
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download: 60
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vlm_visual: 600
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vlm_fusion: 300
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callback: 30
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overall: 1800
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# 多模型池配置(新框架:本地大模型不参与视频分析,仅智能问答兜底)
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#
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# 视频分析链路(推送模式):
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# 云端 VLM 直接产出结构化 JSON (global_summary / entities_json / frame_details)
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# -> Edge 仅做格式化/校验 (format_cloud_result) -> 直接回写 NAS,无本地融合步骤
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# 视觉角色: Gemini(主) -> NVIDIA NIM(备) 顺序降级; 两云端全失败 -> 任务 FAILED 走重试
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#
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# 智能问答链路:
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# Gemini -> NVIDIA -> 本地 Ollama (仅当两云端都失败才启用本地兜底)
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models:
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- provider: "gemini"
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role: "vision"
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enabled: true
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model_name: "gemini-flash-latest" # v1beta 下 gemini-1.5-flash 会 404
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api_key: "${GEMINI_API_KEY}"
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timeout: 90
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circuit_breaker:
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enabled: true
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threshold: 5
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cooldown: 300
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- provider: "nvidia"
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role: "vision"
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enabled: true
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model_name: "meta/llama-3.2-11b-vision-instruct"
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base_url: "https://integrate.api.nvidia.com/v1"
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api_key: "${NVIDIA_API_KEY}"
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timeout: 30
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circuit_breaker:
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enabled: true
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threshold: 5
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cooldown: 300
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# 本地模型:纯文本 qwen2.5:7b,仅参与智能问答,作为 Gemini/NVIDIA 都失败时的兜底
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- provider: "ollama"
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role: "text"
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usage: "qa_fallback"
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enabled: true
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model_name: "qwen2.5:7b"
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base_url: "http://localhost:11434"
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timeout: 120
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num_predict: 512
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circuit_breaker:
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enabled: false
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