chrisfu
5e0a1bda85
feat: Add GitOps (Gitea) and Supabase integration, plus database options
...
- Makefile: Added 'init' and 'deploy' targets for k3s parity and Gitea staging.
- OpenTofu: Fixed namespace handling in k3s main.tf to prevent metadata overwrites.
- UI: Added 'GitOps' and 'Database Options' configuration screens.
- Core: Enhanced monitoring, milestones, and environment handling for new services.
- Supabase: Integrated full Helm chart and manifest rendering logic.
- Gitea: Added deployment scripts and GitOps sync support.
- Database: Added Percona/Postgres Dockerfile templates and improved TDE scripts.
- Tests: Added coverage for new UI screens and navigation flows.
2026-02-26 18:32:15 -08:00
chrisfu
1573bb59c2
Add prole.spec and extend OpenTofu k3s configuration
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- Include new `prole.spec` for build configurations and dependencies.
- Add Terraform state handling for OpenTofu in `k3s` cluster.
- Provision multiple Kubernetes resources in `prole-db` namespace: namespace, services, ConfigMaps, StatefulSets, Ingress rules, and PersistentVolumes.
- Integrate deployment and configuration enhancements for `garage`, `prole`, and related components.
2026-02-24 21:47:02 -08:00
chrisfu
cbfe930b78
feat: add ncurses interface, build system, and embedded resources
...
Major feature additions and infrastructure improvements for the Prole
Database Installer, enabling command-line operation and packaged binary
distribution.
## Ncurses Terminal Interface
- Add installer/ncurses_ui.py: UI primitives (CursesWindow, TerminalConsole,
NavFooter, InputField, Checkbox)
- Add installer/ncurses_installer.py: Complete terminal UI with all 11 screens
- Implement same screen flow as GUI (welcome, deps, network scan, env setup,
kerberos, password, build, cluster, scripts, deploy, installer creation)
- Add keyboard navigation (arrows, hjkl, vim-style)
- Support both GUI and ncurses modes in single binary
## Automatic Display Detection
- Add has_display() function to detect GUI availability
- Auto-select GUI if display available, ncurses otherwise
- Add --gui and --no-gui command-line flags
- Fallback to ncurses on GUI failure
## Build System and Packaging
- Add Makefile with targets: build, package, clean, test, install
- Add scripts/generate_spec.py: PyInstaller spec generator
- Add installer.spec: PyInstaller configuration
- Automatic PNG to ICNS icon conversion
- Create self-contained macOS .app bundle with embedded icon
- Support both Intel (x86_64) and Apple Silicon (arm64)
## Embedded Resources
- Add get_resource_path() helper for PyInstaller compatibility
- Embed all images (proleIcon.png, proleLogo.png, proleLogoSepia.png)
- Embed prole-net/prole-scan binary (6.8 MB universal binary)
- Embed prole-app/dist/Prole Tools.app (12 MB app bundle)
- Embed prole-db/ Docker build context
## Writable Directory Fixes
- Create ~/.prole/build/prole-db/ for Docker builds (fixes read-only _MEIPASS)
- Create ~/.prole/scan/ for network scan output (fixes API call failures)
- Copy build context to writable location before Docker operations
- Run prole-scan from writable working directory
## Documentation
- docs/build-system.md: Complete build system guide
- docs/ncurses-installer.md: Ncurses interface documentation
- docs/RELEASE-NOTES.md: Feature overview and release notes
- docs/IMAGE-RESOURCES.md: Image resource management
- docs/EMBEDDED-RESOURCES.md: Binary and app bundle embedding
- docs/DOCKER-BUILD-FIX.md: Docker build hang solution
- docs/PROLE-HOME-DIRECTORY.md: ~/.prole directory structure
- BUILD.md: Quick build reference
## Key Changes
install.py:
- Add get_resource_path() for embedded resource resolution
- Update image paths to use get_resource_path()
- Update Docker build to use ~/.prole/build/prole-db/
- Update network scan to use ~/.prole/scan/
- Add display detection and mode selection
- Add --gui and --no-gui argument parsing
## Testing
All features tested and verified:
- Ncurses interface navigation
- Display auto-detection
- Resource path resolution
- Docker build from package
- Network scan from package
- Icon conversion and embedding
Package size: ~50-100 MB (includes Python runtime, all resources)
Disk usage: ~/.prole/ uses ~2-6 MB
🤖 Generated with [Claude Code](https://claude.com/claude-code )
Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-19 23:10:37 -08:00
