lixiaolong
873a82b0f5
- 移除Ollama相关配置和回退机制，统一使用SGLang作为视觉模型提供商 - 添加IMAGE_ANALYSIS类型支持，允许对多张图片进行分析 - 实现视频分析的详细输出模式，支持紧凑和详细两种结果格式 - 更新环境变量配置，添加VIDEO_MODEL_FRAME_LIMIT和MAX_IMAGE_BYTES - 修改compose配置文件中的上下文长度和内存分配参数 - 重构视频采样逻辑，限制单次请求帧数以优化显存使用 - 更新API接口文档，添加mediaUrls参数和详细输出选项说明 - 添加图像分析相关的依赖库opencv-python-headless - 实现结构化JSON响应格式验证和重试机制
43 lines
1.1 KiB
YAML
43 lines
1.1 KiB
YAML
name: cmvr-ai-analysis-qwen38
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services:
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analysis-service:
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container_name: cmvr-ai-analysis
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image: cmvr-ai-analysis:1.5.4-multi-match
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build:
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context: ..
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dockerfile: Dockerfile
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restart: unless-stopped
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ports:
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- "192.168.28.10:14080:8080"
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env_file:
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- .env
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environment:
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TZ: Asia/Shanghai
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PROFILES_DIR: /data/profiles
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ARTIFACTS_DIR: /data/artifacts
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JOBS_DIR: /data/jobs
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SGLANG_FAST_BASE_URL: http://192.168.28.10:14081/v1
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SGLANG_ACCURATE_BASE_URL: http://192.168.28.10:14082/v1
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SGLANG_TIMEOUT_SECONDS: "600"
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VIDEO_MODEL_FRAME_LIMIT: "30"
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MAX_VIDEO_CONTEXT_TOKENS: "65536"
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extra_hosts:
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- "host.docker.internal:host-gateway"
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volumes:
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- ../data/profiles:/data/profiles:ro
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- ../data/artifacts:/data/artifacts
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- ../data/jobs:/data/jobs
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- ../data/logs:/data/logs
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healthcheck:
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test: ["CMD", "curl", "-fsS", "http://127.0.0.1:8080/health"]
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interval: 30s
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timeout: 5s
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retries: 3
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start_period: 20s
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logging:
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driver: json-file
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options:
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max-size: "100m"
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max-file: "5"
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