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Piotr Oleszczyk 3ef1f249b6 fix(api): handle dict vs object in build_product_context_summary
When products are loaded from PostgreSQL, JSON columns (effect_profile,
context_rules) are deserialized as plain dicts, not Pydantic models.

The build_product_context_summary function was accessing these fields
as object attributes (.safe_with_compromised_barrier) which caused:
AttributeError: 'dict' object has no attribute 'safe_with_compromised_barrier'

Fix: Add isinstance(dict) checks like build_product_context_detailed already does.
Handle both dict (from DB) and object (from Pydantic) cases.

Traceback from production:
  File "llm_context.py", line 91, in build_product_context_summary
    if product.context_rules.safe_with_compromised_barrier:
  AttributeError: 'dict' object has no attribute...
2026-03-06 10:34:51 +01:00
backend fix(api): handle dict vs object in build_product_context_summary 2026-03-06 10:34:51 +01:00
docs feat(profile): add profile settings and LLM user context 2026-03-05 15:57:21 +01:00
frontend feat(profile): add profile settings and LLM user context 2026-03-05 15:57:21 +01:00
nginx refactor(api): remove MCP server integration and docs references 2026-03-04 12:28:30 +01:00
systemd feat(backend): move product pricing to async persisted jobs 2026-03-04 22:46:16 +01:00
.gitignore fix: load .env via python-dotenv; SQLite default for local dev 2026-02-26 20:51:13 +01:00
AGENTS.md docs(repo): define agent skills and frontend cookbook workflow 2026-03-05 10:49:07 +01:00
deploy.sh feat(backend): move product pricing to async persisted jobs 2026-03-04 22:46:16 +01:00
PHASE1_COMPLETE.md feat(api): add LLM response validation and input sanitization 2026-03-06 10:16:47 +01:00
README.md feat(profile): add profile settings and LLM user context 2026-03-05 15:57:21 +01:00

innercontext

Personal health and skincare data hub. Collects structured data (products, routines, lab results, medications, skin snapshots) and exposes it via a REST API and a web UI to an LLM agent.

Repository layout

backend/    Python backend — FastAPI REST API + SQLModel models
frontend/   SvelteKit web UI (Svelte 5, TypeScript, Tailwind CSS v4)
docs/       Deployment guides
nginx/      nginx config for production
systemd/    systemd service units

Backend quick start

Requirements: Python 3.12+, PostgreSQL, uv

cd backend

# Install dependencies
uv sync

# Set database URL (defaults to postgresql+psycopg://localhost/innercontext)
export DATABASE_URL=postgresql+psycopg://user:password@localhost/innercontext

# Start the API server (creates tables on first run)
uv run uvicorn main:app --reload

API docs available at http://localhost:8000/docs.

Frontend quick start

Requirements: Node.js 24 LTS+, pnpm

cd frontend

# Install dependencies
pnpm install

# Start dev server (proxies API calls to localhost:8000)
pnpm dev

UI available at http://localhost:5173.

API overview

Prefix Resource
/products Skincare / medication products + inventory
/inventory Individual inventory entries
/health/medications Medication entries and usage history
/health/lab-results Lab test results
/routines AM/PM skincare routines and steps
/routines/grooming-schedule Weekly grooming schedule
/skincare Weekly skin condition snapshots
/profile User profile (birth date, sex at birth)
/health-check Liveness probe

Frontend routes

Route Description
/ Dashboard
/products Product list
/products/new Add product
/products/[id] Product detail / edit
/routines Routine list
/routines/new Create routine
/routines/[id] Routine detail
/health/medications Medications
/health/lab-results Lab results
/skin Skin condition snapshots
/profile User profile

Development

cd backend

# Lint
uv run ruff check .

# Format
uv run black .
uv run isort .

# Tests
uv run pytest

Stack

  • Backend: Python 3.12, FastAPI, Uvicorn, SQLModel 0.0.37 + SQLAlchemy, Pydantic v2, PostgreSQL (psycopg3)
  • Frontend: SvelteKit 2, Svelte 5 (Runes), TypeScript, Tailwind CSS v4, shadcn-svelte

Deployment

See docs/DEPLOYMENT.md for a step-by-step guide for a Proxmox LXC setup (Debian 13, nginx, systemd services).