Hitonabi
6c8b6d81fe
System: services/system.py (psutil CPU/RAM/Disk, sysfs GPU/Temp guarded), routers/system.py GET status + restart (Whitelist) + self-update (systemd- USER, sudo-frei). Connect: services/connect.py (Cline/OpenCode/Zed/Continue/ Claude Code/Memory-MCP → Gateway model:auto, LAN-IP-Override), routers/ connect.py. Frontend: SystemView (Metrik-Bars) + ConnectView (Tool-Tabs, Copy, IP-Override). Lokal verifiziert: Backend-Smoke + Frontend-Build + Browser (System-Bars, Connect-Snippets). Docs aktualisiert (README/STATUS/Plan). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
52 lines
2.5 KiB
Python
52 lines
2.5 KiB
Python
"""
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Zentrale Konfiguration für Mission Control 2.0.
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Eine Quelle der Wahrheit für Pfade, URLs und Defaults — alles über Env-Vars
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überschreibbar. Bewusst schlank: MC 2.0 ist ein Glue-Cockpit, das vorhandene
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Dienste (llama-swap, LiteLLM-Gateway, Hermes) steuert, statt sie nachzubauen.
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"""
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import os
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from pathlib import Path
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from ruamel.yaml import YAML
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# --- Engine (llama-swap) -----------------------------------------------------
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LLAMA_SWAP_URL = os.environ.get("MC_LLAMA_SWAP_URL", "http://127.0.0.1:8080").rstrip("/")
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CONFIG_PATH = Path(os.environ.get("MC_CONFIG_PATH", "/etc/llama-swap/config.yaml"))
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MODELS_DIR = Path(os.environ.get("MC_MODELS_DIR", "/srv/models"))
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# Cache der Modell-Entdeckung ("aktuell beste Modelle", live von HuggingFace).
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# Persistent neben den Modellen (übersteht Deploys). TTL = Frische-Fenster.
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DISCOVER_CACHE_PATH = Path(os.environ.get("MC_DISCOVER_CACHE", str(MODELS_DIR / "mc2-discover.json")))
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DISCOVER_TTL = int(os.environ.get("MC_DISCOVER_TTL", "43200")) # 12 h
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# Befehl-Vorlage für llama-swap: {model}=GGUF-Pfad, {ctx}=Kontext, ${PORT} bleibt stehen.
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_DEFAULT_CMD_TEMPLATE = (
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"llama-server -m {model} --host 127.0.0.1 --port ${PORT} "
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"-c {ctx} -ngl 999 -fa 1 --no-mmap"
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)
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CMD_TEMPLATE = os.environ.get("MC_CMD_TEMPLATE", _DEFAULT_CMD_TEMPLATE)
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if "{model}" not in CMD_TEMPLATE:
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CMD_TEMPLATE = _DEFAULT_CMD_TEMPLATE
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DEFAULT_TTL = int(os.environ.get("MC_DEFAULT_TTL", "300"))
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# Env für HuggingFace-Downloads: XET deaktivieren (Hänger bei ~6 MB, siehe v1-Gotcha).
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HF_DOWNLOAD_ENV = {"HF_HUB_DISABLE_XET": "1"}
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# --- Routing-Gateway (LiteLLM, model: auto) ----------------------------------
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GATEWAY_URL = os.environ.get("MC_GATEWAY_URL", "http://127.0.0.1:4000").rstrip("/")
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GATEWAY_CONFIG_PATH = Path(os.environ.get(
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"MC_GATEWAY_CONFIG", str(Path(__file__).resolve().parent.parent / "gateway" / "config.yaml")))
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# --- Server ------------------------------------------------------------------
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HOST = os.environ.get("MC_HOST", "0.0.0.0")
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PORT = int(os.environ.get("MC_PORT", "9000"))
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# Gebautes React-Frontend (frontend/dist). In Prod liefert FastAPI es statisch aus;
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# im Dev läuft der Vite-Dev-Server separat und proxyt /api hierher.
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FRONTEND_DIST = Path(os.environ.get("MC_FRONTEND_DIST", str(Path(__file__).resolve().parent.parent / "frontend" / "dist")))
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# Version (Phase 0 — Greenfield-Skeleton).
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VERSION = "2.0.0-phase2"
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# Gemeinsame YAML-Instanz (preserve_quotes hält Kommentare/Quotes in config.yaml).
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yaml = YAML()
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yaml.preserve_quotes = True
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