65 lines
2.5 KiB
Plaintext
65 lines
2.5 KiB
Plaintext
# Public exposed port (only nginx is exposed)
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NGINX_PORT=8080
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# REQUIRED absolute host paths.
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# They must exist and be writable by docker daemon.
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HOST_DATA_ROOT=/opt/dashboard-nanobot/data
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HOST_BOTS_WORKSPACE_ROOT=/opt/dashboard-nanobot/workspace/bots
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# Optional custom image tags
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BACKEND_IMAGE_TAG=latest
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FRONTEND_IMAGE_TAG=latest
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# Optional build acceleration for China network
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# If you mirror upstream container images, replace these with your mirror registry image names.
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PYTHON_BASE_IMAGE=python:3.12-slim
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NODE_BASE_IMAGE=node:22-alpine
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NGINX_BASE_IMAGE=nginx:alpine
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# Python package index mirror (recommended in CN)
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PIP_INDEX_URL=https://pypi.tuna.tsinghua.edu.cn/simple
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PIP_TRUSTED_HOST=pypi.tuna.tsinghua.edu.cn
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# Frontend package registry mirror (used by yarn, recommended in CN)
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NPM_REGISTRY=https://registry.npmmirror.com
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# Database (choose one: SQLite / PostgreSQL / MySQL)
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# SQLite example:
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# DATABASE_URL=sqlite:///${HOST_DATA_ROOT}/nanobot_dashboard.db
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# PostgreSQL example:
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# DATABASE_URL=postgresql+psycopg://user:password@127.0.0.1:5432/nanobot_dashboard
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# MySQL example:
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# DATABASE_URL=mysql+pymysql://user:password@127.0.0.1:3306/nanobot_dashboard
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DATABASE_URL=postgresql+psycopg://postgres:change_me@127.0.0.1:5432/nanobot_dashboard
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# Redis cache (optional)
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REDIS_ENABLED=true
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REDIS_URL=redis://127.0.0.1:6379/8
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REDIS_PREFIX=dashboard_nanobot
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REDIS_DEFAULT_TTL=60
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# Panel access protection
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PANEL_ACCESS_PASSWORD=change_me_panel_password
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# Internal URL used by built-in topic_mcp server inside bot container
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TOPIC_MCP_INTERNAL_URL=http://host.docker.internal:8000/api/mcp/topic
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# Template files inside backend container
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AGENT_MD_TEMPLATES_FILE=templates/agent_md_templates.json
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TOPIC_PRESETS_TEMPLATES_FILE=templates/topic_presets.json
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# Max upload size for backend validation (MB)
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UPLOAD_MAX_MB=200
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# Workspace files that should use direct download behavior in dashboard
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WORKSPACE_DOWNLOAD_EXTENSIONS=.pdf,.doc,.docx,.xls,.xlsx,.xlsm,.ppt,.pptx,.odt,.ods,.odp,.wps,.stl,.scad,.zip,.rar
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# Local speech-to-text (Whisper via whisper.cpp model file)
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STT_ENABLED=true
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STT_MODEL=ggml-small-q8_0.bin
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STT_MODEL_DIR=${HOST_DATA_ROOT}/model
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STT_DEVICE=cpu
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STT_MAX_AUDIO_SECONDS=20
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STT_DEFAULT_LANGUAGE=zh
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STT_FORCE_SIMPLIFIED=true
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STT_AUDIO_PREPROCESS=true
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STT_AUDIO_FILTER=highpass=f=120,lowpass=f=7600,afftdn=nf=-20
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STT_INITIAL_PROMPT=以下内容可能包含简体中文和英文术语。请优先输出简体中文，英文单词、缩写、品牌名和数字保持原文，不要翻译。
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