MBombeck/HealthLog v1.2.0

v1.2.0 — Personalization, Glucose & Multi-Provider AI

on GitHub

Added — Personalization, Glucose & Multi-Provider AI

• Per-user custom thresholds: Override the computed default ranges (BP, BMI, glucose, pulse) with values from your clinician. Audit-logged with previous/new values and timestamps. Doctor Report PDF flags custom ranges and prints both your target and the standard guideline value.
• Blood glucose tracking: New metric with fasting, postprandial, random, and bedtime contexts. Display unit switch between mg/dL and mmol/L (lossless conversion). Context-aware classification per ADA 2024 / DGIM. Per-context charting on dashboard and Doctor Report PDF.
• Dashboard customization: Show/hide and drag-to-reorder every dashboard widget. Per-user preference, reset-to-defaults button. Layout persists across the same user on the same device.
• Built-in feedback system: New in-app Send Feedback flow (Bug / Feature / Question / Other) with anonymized system info attachment. Stored in HealthLog's own database — no GitHub config required. Optional Escalate to GitHub button for admins who configure a PAT.
• Multi-provider AI insights: Provider abstraction extended with Anthropic Claude and local OpenAI-compatible endpoints (Ollama, LM Studio, vLLM, LiteLLM) alongside OpenAI. Per-user provider selection. Local endpoints keep all health data on your network.
• Locale-aware UI polish (English-first): Numbers, dates, glucose units, BP, weight, and BMI all formatted via useFormatters() from the active locale. Doctor Report PDF and AI insight prompts now respect locale end-to-end (no hand-rolled Intl.* with fixed locales).

Changed

• Reference range computation extracted into a dedicated src/lib/health/thresholds.ts module with computed defaults and override resolution.
• AI provider routing reworked to dispatch by provider field on the user record; OpenAI remains the default for legacy users.
• Dashboard route renders widgets from UserDashboardLayout model when present, otherwise falls back to the default order.
• Doctor Report PDF: locale-aware headers, glucose section, custom-range badges.

Security

• GitHub PAT for feedback escalation stored AES-256-GCM encrypted in the database (never as env var).
• Local AI endpoint URLs validated against SSRF (no localhost/RFC1918 unless explicitly allowed by admin).
• Custom threshold writes rate-limited and audit-logged with IP.