Week 28 - Daily Log
Continuing the detailed daily logging format. Each day’s work and learning outcomes are tracked in separate files for clarity and granularity.
Table of Contents
- Day 1 - March 23, 2026
- Day 2 - March 24, 2026
- Day 3 - March 25, 2026
- Day 4 - March 27, 2026
- Day 5 - March 28, 2026
Overview
Week 28 centered on stabilizing the AnanaCare training and deployment workflow. The main outcomes were a functional job control path (trigger, monitor, stop), cloud deployment hardening, and a reproducible model bootstrap and Hugging Face packaging flow.
Weekly Summary
Execution Snapshot
- Total active implementation days: 3 full days (Day 42, Day 44, Day 45)
- Health-constrained days: 2 (Day 41, Day 43)
- Weekly direction: shifted from feature execution toward deployment reliability and reproducibility
What Was Delivered
- Job orchestration foundation:
- UI to backend job trigger flow implemented
- Real-time log streaming via WebSockets added
- Process lifecycle control improved with safe termination and cleanup
- Persistent logging enabled under
.anana-results/logs/
- Deployment stability improvements:
- Fixed Node engine mismatch (
ERR_PNPM_UNSUPPORTED_ENGINE) by aligning runtime to Node 24 - Standardized pnpm behavior in containers with
corepack - Corrected Railway build flow and resolved runtime startup instability
- Fixed Node engine mismatch (
- Packaging and bootstrap readiness:
- Added one-shot setup automation for model initialization
- Fixed backend compatibility regression (
hf_repositories/storageaccess) - Finalized flat
.modelsHugging Face bundle with validated upload workflow
Key Learnings
- Runtime parity between local and cloud environments is critical for reliable builds.
- Production-facing process management needs explicit child-process cleanup and defensive streaming behavior.
- Model distribution is more maintainable when the bundle is minimal, flat, and self-documented.
- Even constrained workdays benefit from continuity tasks that protect execution momentum.
Risks and Follow-Up
- Track
.modelsversion/hash metadata to prevent drift. - Keep Railway volume and runtime setup consistently documented.
- Add fallback download path and CI/CD bootstrap integration for stronger resilience.
Daily Work Logs
See the sidebar or the links above for each day’s detailed log.