jfraeysd/fetch_ml
0
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions 1
209 commits 1 branch 0 tags 38 MiB
Commit graph

4 commits

Author SHA1 Message Date
Jeremie Fraeys
7c4a59012b
feat(tui): Add SQLite support for local mode 
- store/store.go: New SQLite storage for TUI local mode
  - Open() with WAL mode and NORMAL synchronous
  - Schema initialization for ml_experiments, ml_runs, ml_metrics, ml_params, ml_tags
  - GetUnsyncedRuns(), GetRunsByExperiment(), MarkRunSynced()
  - GetRunMetrics(), GetRunParams() for run details
- config/config.go: Add local mode configuration fields
  - DBPath, ForceLocal, ProjectRoot fields
  - Experiment struct with Name and Entrypoint
  - IsLocalMode() and GetDBPath() helper methods
- go.mod: Add modernc.org/sqlite v1.36.0 dependency
 2026-02-20 21:28:49 -05:00
Jeremie Fraeys
dbf96020af
refactor(dependency-hygiene): Fix Redis leak, simplify TUI wrapper, clean go.mod 
Phase 1: Fix Redis Schema Leak
- Create internal/storage/dataset.go with DatasetStore abstraction
- Remove all direct Redis calls from cmd/data_manager/data_sync.go
- data_manager now uses DatasetStore for transfer tracking and metadata

Phase 2: Simplify TUI Services
- Embed *queue.TaskQueue directly in services.TaskQueue
- Eliminate 60% of wrapper boilerplate (203 -> ~100 lines)
- Keep only TUI-specific methods (EnqueueTask, GetJobStatus, experiment methods)

Phase 5: Clean go.mod Dependencies
- Remove duplicate go-redis/redis/v8 dependency
- Migrate internal/storage/migrate.go to redis/go-redis/v9
- Separate test-only deps (miniredis, testify) into own block

Results:
- Zero direct Redis calls in cmd/
- 60% fewer lines in TUI services
- Cleaner dependency structure
 2026-02-17 21:13:49 -05:00
Jeremie Fraeys
add4a90e62 feat(api): refactor websocket handlers; add health and prometheus middleware 2026-01-05 12:31:07 -05:00
Jeremie Fraeys
c5049a2fdf feat: initialize FetchML ML platform with core project structure 
- Add comprehensive README with architecture overview and quick start guide
- Set up Go module with production-ready dependencies
- Configure build system with Makefile for development and production builds
- Add Docker Compose for local development environment
- Include project configuration files (linting, Python, etc.)

This establishes the foundation for a production-ready ML experiment platform
with task queuing, monitoring, and modern CLI/API interface.
 2025-12-04 16:52:09 -05:00