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feat: AI pre-fill for product form via Gemini API

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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>
This commit is contained in:
Piotr Oleszczyk 2026-02-27 23:04:24 +01:00
parent c413e27768
commit 31e030eaac
5 changed files with 721 additions and 101 deletions
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25
frontend/src/lib/api.ts
View file

@ -1,9 +1,13 @@
import { PUBLIC_API_BASE } from '$env/static/public';
import type {
ActiveIngredient,
LabResult,
MedicationEntry,
MedicationUsage,
Product,
ProductContext,
ProductEffectProfile,
ProductInteraction,
ProductInventory,
Routine,
RoutineStep,
@ -73,6 +77,27 @@ export const updateInventory = (id: string, body: Record<string, unknown>): Prom
api.patch(`/inventory/${id}`, body);
export const deleteInventory = (id: string): Promise<void> => api.del(`/inventory/${id}`);
export interface ProductParseResponse {
name?: string; brand?: string; line_name?: string; sku?: string; url?: string; barcode?: string;
category?: string; recommended_time?: string; texture?: string; absorption_speed?: string;
leave_on?: boolean; price_tier?: string;
size_ml?: number; full_weight_g?: number; empty_weight_g?: number; pao_months?: number;
inci?: string[]; actives?: ActiveIngredient[];
recommended_for?: string[]; targets?: string[];
contraindications?: string[]; usage_notes?: string;
fragrance_free?: boolean; essential_oils_free?: boolean;
alcohol_denat_free?: boolean; pregnancy_safe?: boolean;
product_effect_profile?: ProductEffectProfile;
ph_min?: number; ph_max?: number;
incompatible_with?: ProductInteraction[]; synergizes_with?: string[];
context_rules?: ProductContext;
min_interval_hours?: number; max_frequency_per_week?: number;
is_medication?: boolean; is_tool?: boolean; needle_length_mm?: number;
}
export const parseProductText = (text: string): Promise<ProductParseResponse> =>
api.post('/products/parse-text', { text });
// ─── Routines ────────────────────────────────────────────────────────────────
export interface RoutineListParams {