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Piotr Oleszczyk 31e030eaac feat: AI pre-fill for product form via Gemini API 
Add POST /products/parse-text endpoint that accepts raw product text,
calls Gemini (google-genai) with a structured extraction prompt, and
returns a partial ProductParseResponse. Frontend gains a collapsible
"AI pre-fill" card at the top of ProductForm that merges the LLM
response into all form fields reactively.

- Backend: ProductParseRequest/Response schemas, system prompt with
  enum constraints, temperature=0.0 for deterministic extraction,
  effect_profile always returned in full
- Frontend: parseProductText() in api.ts; controlled $state bindings
  for all text/number/checkbox inputs; applyAiResult() merges response

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-02-27 23:04:24 +01:00
..
innercontext feat: AI pre-fill for product form via Gemini API 2026-02-27 23:04:24 +01:00
tests refactor: split table models into Base/Table/Public for proper FastAPI serialization 2026-02-27 15:37:46 +01:00
.env.example fix: load .env via python-dotenv; SQLite default for local dev 2026-02-26 20:51:13 +01:00
.python-version Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
db.py Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
main.py refactor: split table models into Base/Table/Public for proper FastAPI serialization 2026-02-27 15:37:46 +01:00
pyproject.toml feat: AI pre-fill for product form via Gemini API 2026-02-27 23:04:24 +01:00
README.md Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
skincare.yaml Initial commit: backend API, data models, and test suite 2026-02-26 15:10:24 +01:00
uv.lock feat: AI pre-fill for product form via Gemini API 2026-02-27 23:04:24 +01:00

README.md

See the root README for setup and usage instructions.