Commit graph

5 commits

Author SHA1 Message Date
c5ea38880c refactor(products): remove obsolete interaction fields across stack 2026-03-04 12:42:12 +01:00
c09acc7c81 refactor: split table models into Base/Table/Public for proper FastAPI serialization
Add ProductBase, ProductPublic, ProductWithInventory and
SkinConditionSnapshotBase, SkinConditionSnapshotPublic. Table models now inherit
from their Base counterpart and override JSON fields with sa_column. All
field_serializer hacks removed; FastAPI response models use the non-table Public
classes so Pydantic coerces raw DB dicts → typed models cleanly. ProductCreate
and SnapshotCreate now simply inherit their respective Base classes.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 15:37:46 +01:00
6333c6678a refactor: remove personal_rating, DRY get_or_404, fix ty errors
- Drop Product.personal_rating from model, API schemas, and all frontend
  views (list table, detail view, quick-edit form, new-product form)
- Extract get_or_404 into backend/innercontext/api/utils.py; remove five
  duplicate copies from individual API modules
- Fix all ty type errors: generic get_or_404 with TypeVar, cast() in
  coerce_effect_profile validator, col() for ilike on SQLModel column,
  dict[str, Any] annotation in test helper, ty: ignore for CORSMiddleware

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 11:20:13 +01:00
9a069508af refactor: remove routine_role, recommended_frequency, evidence_level, cumulative_with
Drop fields identified as redundant or low-value from the Product model,
API schemas, frontend types, and forms. Raise effect_profile threshold in
to_llm_context() from >0 to >=2 to suppress noise values. Remove sku/barcode
from LLM context output (kept on model for catalog use).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 10:22:59 +01:00
8f7d893a63 Initial commit: backend API, data models, and test suite
FastAPI backend for personal health and skincare data with MCP export.
Includes SQLModel models for products, inventory, medications, lab results,
routines, and skin condition snapshots. Pytest suite with 111 tests running
on SQLite in-memory (no PostgreSQL required).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-26 15:10:24 +01:00