67 lines
2.4 KiB
Plaintext
67 lines
2.4 KiB
Plaintext
# Public exposed port (only nginx is exposed)
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NGINX_PORT=8082
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# Project data is always mounted from the repository root `./data`.
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# Only workspace root still needs an absolute host path.
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HOST_BOTS_WORKSPACE_ROOT=/dep/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_URL=postgresql+psycopg://postgres:postgres@10.100.52.43:5433/nanobot
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DATABASE_POOL_SIZE=20
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DATABASE_MAX_OVERFLOW=40
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DATABASE_POOL_TIMEOUT=30
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DATABASE_POOL_RECYCLE=1800
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# Redis cache (optional)
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REDIS_ENABLED=true
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REDIS_URL=redis://10.100.52.43:6380/8
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REDIS_PASSWORD=Unis@123
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REDIS_PREFIX=nanobot
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REDIS_DEFAULT_TTL=60
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# Default timezone injected into newly created bot runtime env (`TZ`).
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# If unset, backend falls back to `TZ` and then `Asia/Shanghai`.
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DEFAULT_BOT_SYSTEM_TIMEZONE=Asia/Shanghai
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# Panel access protection (deployment secret, not stored in sys_setting)
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PANEL_ACCESS_PASSWORD=change_me_panel_password
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# Browser credential requests must use an explicit CORS allowlist (deployment security setting).
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# If frontend and backend are served under the same origin via nginx `/api` proxy,
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# this can usually stay unset. Otherwise set the real dashboard origin(s).
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# Example:
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# CORS_ALLOWED_ORIGINS=https://dashboard.example.com
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# Nginx upload entry limit (MB).
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# The backend business limit is stored in `sys_setting.upload_max_mb`;
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# if you change the DB value later, remember to sync this nginx limit too.
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UPLOAD_MAX_MB=200
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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=/app/data/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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