New Zig CLI commands for lab management:
- groups.zig: Lab group management commands
* create-group: Create new lab groups with metadata
* list-groups: Show all groups with member counts
* add-member: Add users with role assignment (admin/member/viewer)
* remove-member: Remove users from groups
* group-info: Display group details and membership
- tasks.zig: Task operations with visibility integration
* create-task: New tasks with visibility flag (private/lab/institution/open)
* list-tasks: Filter by visibility level and group membership
* share-task: Generate access tokens for external sharing
* clone-task: Copy tasks with public clone tokens
* task-visibility: Change visibility and cascade to experiments
- run.zig: Updated experiment runner
* Integrate with new task visibility system
* Group-scoped experiment execution
* Token-based access for shared experiments
- main.zig: Command registration updates
* Wire up new groups and tasks commands
* Updated help text and command discovery
## Changes
- Refactor hash.zig utilities for better performance and maintainability
- Clean up command structure in run.zig for clarity
- Simplify main.zig entry point organization
Since app is not released, removed old commands entirely:
- Deleted exec.zig (533 lines)
- Deleted queue.zig (1248 lines)
- Unified functionality into run.zig
New unified 'ml run' command:
- Auto-detects local vs remote execution
- Supports --local and --remote flags to force mode
- Includes all features: priority, resources, research context
- Single command for all execution needs
Updated main.zig dispatcher:
- Removed 'e' (exec) handler
- Removed 'q' (queue) handler
- Updated help text
Total reduction: ~1,700 lines of code
All tests pass.
Remove colors dependency from output.zig
Add terminal.zig for TTY detection and terminal width
Update flags.zig with color flag support
Simplify colors.zig to basic ANSI codes
Update main.zig and utils.zig exports
- Renamed note.zig to annotate.zig (preserves user's preferred naming)
- Updated all references from 'ml note' to 'ml annotate'
- Re-added experiment.zig with create/list/show subcommands
- Updated main.zig dispatch: 'a' for annotate, 'e' for experiment
- Updated printUsage and test block to reflect changes
- Update experiment.zig with unified commands (local + server modes)
- Add init.zig for local project initialization
- Update sync.zig for project synchronization
- Update main.zig to route new local mode commands (experiment, run, log)
- Support automatic mode detection from config (sqlite:// vs wss://)
Add comprehensive research context tracking to jobs:
- Narrative fields: hypothesis, context, intent, expected_outcome
- Experiment groups and tags for organization
- Run comparison (compare command) for diff analysis
- Run search (find command) with criteria filtering
- Run export (export command) for data portability
- Outcome setting (outcome command) for experiment validation
Update queue and requeue commands to support narrative fields.
Add narrative validation to manifest validator.
Add WebSocket handlers for compare, find, export, and outcome operations.
Includes E2E tests for phase 2 features.
- Add handleUnknownCommand() helper function
- Add else clauses to 'i' and 's' switch cases
- Commands like 'invalid_command', 'infoooo', 'syncccc' now properly rejected
- Prevents silent acceptance of invalid commands
- Test TestCLICommandsE2E/CLIErrorHandling now passes
- Replace std.process.exit(1) with error.InvalidArgs in sync command
- Replace std.process.exit(1) with error.ValidationFailed in validate command
- Update validate.zig to use protocol.ResponsePacket.deinit() for cleanup
- Build verified: zig build --release=fast
- Move ci-test.sh and setup.sh to scripts/
- Trim docs/src/zig-cli.md to current structure
- Replace hardcoded secrets with placeholders in configs
- Update .gitignore to block .env*, secrets/, keys, build artifacts
- Slim README.md to reflect current CLI/TUI split
- Add cleanup trap to ci-test.sh
- Ensure no secrets are committed
- Add jupyter.zig command with start/stop/status actions
- Update main.zig to include jupyter command in CLI
- CLI now handles all Jupyter setup transparently
- Data scientists only need: ml jupyter start
- Auto-detects container runtime (Podman/Docker)
- Manages container lifecycle automatically
- Provides clear status and error messages
- Add modern CLI interface built with Zig for performance
- Include TUI (Terminal User Interface) with bubbletea-like features
- Implement ML experiment commands (run, status, manage)
- Add configuration management and validation
- Include shell completion scripts for bash and zsh
- Add comprehensive CLI testing framework
- Support for multiple ML frameworks and project types
CLI provides fast, efficient interface for ML experiment management
with modern terminal UI and comprehensive feature set.
