fegger
dfe246b7ca
- outlook-auth.js: one-time device-code flow against Microsoft login; stores the refresh token in the outlook-tokens compose volume - update-outlook.js: per-minute cron fetching the unread count and the latest unread messages via Microsoft Graph; caches access tokens and persists rotated refresh tokens - Widget is hidden until the mailbox is actually authorized, so it stays out of sight while (admin) consent is pending - New external card for Outlook (Office 365) with the official icon - compose: pass OUTLOOK_CLIENT_ID/OUTLOOK_TENANT/GITEA_TOKEN from .env - README: Entra ID app registration steps and the tenant-ID hint for directories not resolvable via the organizations endpoint
66 lines
2.2 KiB
YAML
66 lines
2.2 KiB
YAML
services:
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dashboard:
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build:
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context: .
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dockerfile: Dockerfile
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image: homelab-dashboard:latest
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container_name: homelab-dashboard
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ports:
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- "8888:80"
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restart: unless-stopped
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environment:
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# Timezone used for the "Today" calendar widget.
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- TZ=Europe/Vienna
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# Secrets live in .env (gitignored) — compose reads it automatically.
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- OPENWEBUI_TOKEN=${OPENWEBUI_TOKEN:-}
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- GITEA_TOKEN=${GITEA_TOKEN:-}
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# Outlook unread-mail widget (see README for the Entra ID app registration
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# and the one-time device login).
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- OUTLOOK_CLIENT_ID=${OUTLOOK_CLIENT_ID:-}
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- OUTLOOK_TENANT=${OUTLOOK_TENANT:-organizations}
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# Optional API tokens for live stats / git integration.
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# Uncomment and fill in to enable private git stats.
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# - GITLAB_TOKEN=
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# - NETBIRD_TOKEN=
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# GPU stats upstream; defaults to the gpu-stats service below.
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# To run gpu_stats.py on the host instead, use:
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# http://host.docker.internal:9101/stats
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# (and add: extra_hosts: ["host.docker.internal:host-gateway"])
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# - GPU_STATS_URL=http://gpu-stats:9101/stats
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# Ollama instance for the loaded-model stats in the GPU widget.
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# - OLLAMA_URL=http://100.103.83.12:11435
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volumes:
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# Persists the Outlook OAuth refresh token across container updates.
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- outlook-tokens:/opt/dashboard/tokens
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logging:
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driver: json-file
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options:
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max-size: "1m"
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max-file: "2"
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# AMD GPU stats via rocm-smi (gpu_stats.py).
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# Needs the host's ROCm install + GPU device nodes passed through.
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gpu-stats:
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image: python:3.12-slim
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container_name: homelab-gpu-stats
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restart: unless-stopped
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environment:
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# rocm-smi can't read the device name without libdrm; set it explicitly.
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- GPU_NAME=AMD Radeon AI PRO R9700
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# - ROCM_SMI_PATH=/opt/rocm/bin/rocm-smi
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volumes:
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- ./gpu_stats.py:/app/gpu_stats.py:ro
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- /opt/rocm:/opt/rocm:ro
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devices:
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- /dev/kfd
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- /dev/dri
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command: python3 /app/gpu_stats.py
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logging:
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driver: json-file
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options:
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max-size: "1m"
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max-file: "2"
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volumes:
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outlook-tokens:
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