Files
homeai/homeai-visual/setup.sh
Aodhan Collins 7978eaea14 Add self-deploying setup scripts for all sub-projects (P1-P8)
- Root setup.sh orchestrator with per-phase dispatch (./setup.sh p1..p8 | all | status)
- Makefile convenience targets (make infra, make llm, make status, etc.)
- scripts/common.sh: shared bash library for OS detection, Docker helpers,
  service management (launchd/systemd), package install, env management
- .env.example + .gitignore: shared config template and secret exclusions

P1 (homeai-infra): full implementation
- docker-compose.yml: Uptime Kuma, code-server, n8n
- Note: Home Assistant, Portainer, Gitea are pre-existing instances
- setup.sh: Docker install, homeai network, container health checks

P2 (homeai-llm): full implementation
- Ollama native install with CUDA/ROCm/Metal auto-detection
- launchd plist (macOS) + systemd service (Linux) for auto-start
- scripts/pull-models.sh: idempotent model puller from manifest
- scripts/benchmark.sh: tokens/sec measurement per model
- Open WebUI on port 3030 (avoids Gitea :3000 conflict)

P3-P8: working stubs with prerequisite checks and TODO sections

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-04 21:10:53 +00:00

61 lines
3.2 KiB
Bash

#!/usr/bin/env bash
# homeai-visual/setup.sh — P7: VTube Studio bridge + Live2D expressions
#
# Components:
# - vtube_studio.py — WebSocket client skill for OpenClaw
# - lipsync.py — amplitude-based lip sync
# - auth.py — VTube Studio token management
#
# Prerequisites:
# - P4 (homeai-agent) — OpenClaw running
# - P5 (homeai-character) — aria.json with live2d_expressions set
# - macOS: VTube Studio installed (Mac App Store)
# - Linux: N/A — VTube Studio is macOS/Windows/iOS only
# Linux dev can test the skill code but not the VTube Studio side
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_DIR="$(cd "${SCRIPT_DIR}/.." && pwd)"
source "${REPO_DIR}/scripts/common.sh"
log_section "P7: VTube Studio Bridge"
detect_platform
if [[ "$OS_TYPE" == "linux" ]]; then
log_warn "VTube Studio is not available on Linux."
log_warn "This sub-project requires macOS (Mac Mini)."
fi
# ─── TODO: Implementation ──────────────────────────────────────────────────────
cat <<'EOF'
┌─────────────────────────────────────────────────────────────────┐
│ P7: homeai-visual — NOT YET IMPLEMENTED │
│ │
│ macOS only (VTube Studio is macOS/iOS/Windows) │
│ │
│ Implementation steps: │
│ 1. Install VTube Studio from Mac App Store │
│ 2. Enable WebSocket API in VTube Studio (Settings → port 8001) │
│ 3. Source/purchase Live2D model │
│ 4. Create expression hotkeys for 8 states │
│ 5. Implement skills/vtube_studio.py (WebSocket client) │
│ 6. Implement skills/lipsync.py (amplitude → MouthOpen param) │
│ 7. Implement skills/auth.py (token request + persistence) │
│ 8. Register vtube_studio skill with OpenClaw │
│ 9. Update aria.json live2d_expressions with hotkey IDs │
│ 10. Test all 8 expression states │
│ │
│ On Linux: implement Python skills, test WebSocket protocol │
│ with a mock server before connecting to real VTube Studio. │
│ │
│ Interface contracts: │
│ VTUBE_WS_URL=ws://localhost:8001 │
└─────────────────────────────────────────────────────────────────┘
EOF
log_info "P7 is not yet implemented. See homeai-visual/PLAN.md for details."
exit 0