refactor(skin): replace trend with texture field on SkinConditionSnapshot

Remove the derived `trend` field (better computed from history by the MCP
agent) and add `texture: smooth|rough|flaky|bumpy` which LLM can reliably
assess from photos. Updates model, API, system prompt, tests, and frontend.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/innercontext/api/skincare.py

@@ -20,7 +20,7 @@ from innercontext.models.enums import (
     BarrierState,
     OverallSkinState,
     SkinConcern,
-    SkinTrend,
+    SkinTexture,
     SkinType,
 )
 
@@ -39,8 +39,8 @@ class SnapshotCreate(SkinConditionSnapshotBase):
 class SnapshotUpdate(SQLModel):
     snapshot_date: Optional[date] = None
     overall_state: Optional[OverallSkinState] = None
-    trend: Optional[SkinTrend] = None
     skin_type: Optional[SkinType] = None
+    texture: Optional[SkinTexture] = None
 
     hydration_level: Optional[int] = None
     sebum_tzone: Optional[int] = None
@@ -57,8 +57,8 @@ class SnapshotUpdate(SQLModel):
 
 class SkinPhotoAnalysisResponse(SQLModel):
     overall_state: Optional[OverallSkinState] = None
-    trend: Optional[SkinTrend] = None
     skin_type: Optional[SkinType] = None
+    texture: Optional[SkinTexture] = None
     hydration_level: Optional[int] = None
     sebum_tzone: Optional[int] = None
     sebum_cheeks: Optional[int] = None
@@ -85,14 +85,13 @@ RULES:
 - Omit any field you cannot confidently determine from the photos. Do not guess.
 - All enum values must exactly match the allowed strings listed below.
 - Numeric metrics use a 1–5 scale (1 = minimal, 5 = maximal).
-- For trends: only populate if you have strong visual cues; otherwise omit.
 - risks and priorities: short English phrases, max 10 words each.
 - notes: 2–4 sentence paragraph describing key observations.
 
 ENUM VALUES:
 overall_state: "excellent" | "good" | "fair" | "poor"
-trend: "improving" | "stable" | "worsening" | "fluctuating"
 skin_type: "dry" | "oily" | "combination" | "sensitive" | "normal" | "acne_prone"
+texture: "smooth" | "rough" | "flaky" | "bumpy"
 barrier_state: "intact" | "mildly_compromised" | "compromised"
 active_concerns: "acne" | "rosacea" | "hyperpigmentation" | "aging" | "dehydration" |
   "redness" | "damaged_barrier" | "pore_visibility" | "uneven_texture" | "sebum_excess"
@@ -104,7 +103,7 @@ sebum_cheeks: 1=very dry cheeks → 5=very oily cheeks
 sensitivity_level: 1=no visible signs → 5=severe redness/reactivity
 
 OUTPUT (all fields optional):
-{"overall_state":…, "trend":…, "skin_type":…, "hydration_level":…,
+{"overall_state":…, "skin_type":…, "texture":…, "hydration_level":…,
  "sebum_tzone":…, "sebum_cheeks":…, "sensitivity_level":…,
  "barrier_state":…, "active_concerns":[…], "risks":[…], "priorities":[…], "notes":…}
 """

backend/innercontext/models/__init__.py

@@ -15,7 +15,7 @@ from .enums import (
     ResultFlag,
     RoutineRole,
     SkinConcern,
-    SkinTrend,
+    SkinTexture,
     SkinType,
     StrengthLevel,
     TextureType,
@@ -59,7 +59,7 @@ __all__ = [
     "ResultFlag",
     "RoutineRole",
     "SkinConcern",
-    "SkinTrend",
+    "SkinTexture",
     "SkinType",
     "StrengthLevel",
     "TextureType",

backend/innercontext/models/enums.py

@@ -186,11 +186,11 @@ class OverallSkinState(str, Enum):
     POOR = "poor"
 
 
-class SkinTrend(str, Enum):
-    IMPROVING = "improving"
-    STABLE = "stable"
-    WORSENING = "worsening"
-    FLUCTUATING = "fluctuating"
+class SkinTexture(str, Enum):
+    SMOOTH = "smooth"
+    ROUGH = "rough"
+    FLAKY = "flaky"
+    BUMPY = "bumpy"
 
 
 class BarrierState(str, Enum):

backend/innercontext/models/skincare.py

@@ -9,7 +9,7 @@ from sqlmodel import Field, SQLModel
 
 from .base import utc_now
 from .domain import Domain
-from .enums import BarrierState, OverallSkinState, SkinConcern, SkinTrend, SkinType
+from .enums import BarrierState, OverallSkinState, SkinConcern, SkinTexture, SkinType
 
 # ---------------------------------------------------------------------------
 # Base model (pure Python types, no sa_column, no id/created_at)
@@ -20,8 +20,8 @@ class SkinConditionSnapshotBase(SQLModel):
     snapshot_date: date
 
     overall_state: OverallSkinState | None = None
-    trend: SkinTrend | None = None
     skin_type: SkinType | None = None
+    texture: SkinTexture | None = None
 
     # Metryki wizualne (1 = minimalne, 5 = maksymalne nasilenie)
     hydration_level: int | None = Field(default=None, ge=1, le=5)

backend/tests/test_skincare.py

@@ -16,8 +16,8 @@ def test_create_snapshot_full(client):
         json={
             "snapshot_date": "2026-02-20",
             "overall_state": "good",
-            "trend": "improving",
             "skin_type": "combination",
+            "texture": "rough",
             "hydration_level": 3,
             "sebum_tzone": 4,
             "sebum_cheeks": 2,
@@ -32,7 +32,7 @@ def test_create_snapshot_full(client):
     assert r.status_code == 201
     data = r.json()
     assert data["overall_state"] == "good"
-    assert data["trend"] == "improving"
+    assert data["texture"] == "rough"
     assert "acne" in data["active_concerns"]
     assert data["hydration_level"] == 3
 

frontend/src/lib/types.ts

@@ -55,7 +55,7 @@ export type SkinConcern =
 	| 'uneven_texture'
 	| 'hair_growth'
 	| 'sebum_excess';
-export type SkinTrend = 'improving' | 'stable' | 'worsening' | 'fluctuating';
+export type SkinTexture = 'smooth' | 'rough' | 'flaky' | 'bumpy';
 export type SkinType = 'dry' | 'oily' | 'combination' | 'sensitive' | 'normal' | 'acne_prone';
 export type StrengthLevel = 1 | 2 | 3;
 export type TextureType = 'watery' | 'gel' | 'emulsion' | 'cream' | 'oil' | 'balm' | 'foam' | 'fluid';
@@ -250,8 +250,8 @@ export interface SkinConditionSnapshot {
 	id: string;
 	snapshot_date: string;
 	overall_state?: OverallSkinState;
-	trend?: SkinTrend;
 	skin_type?: SkinType;
+	texture?: SkinTexture;
 	hydration_level?: number;
 	sebum_tzone?: number;
 	sebum_cheeks?: number;

frontend/src/routes/skin/+page.server.ts

@@ -13,7 +13,7 @@ export const actions: Actions = {
 		const form = await request.formData();
 		const snapshot_date = form.get('snapshot_date') as string;
 		const overall_state = form.get('overall_state') as string;
-		const trend = form.get('trend') as string;
+		const texture = form.get('texture') as string;
 		const notes = form.get('notes') as string;
 		const hydration_level = form.get('hydration_level') as string;
 		const sensitivity_level = form.get('sensitivity_level') as string;
@@ -35,7 +35,7 @@ export const actions: Actions = {
 
 		const body: Record<string, unknown> = { snapshot_date, active_concerns };
 		if (overall_state) body.overall_state = overall_state;
-		if (trend) body.trend = trend;
+		if (texture) body.texture = texture;
 		if (notes) body.notes = notes;
 		if (hydration_level) body.hydration_level = Number(hydration_level);
 		if (sensitivity_level) body.sensitivity_level = Number(sensitivity_level);

frontend/src/routes/skin/+page.svelte

@@ -12,7 +12,7 @@
 	let { data, form }: { data: PageData; form: ActionData } = $props();
 
 	const states = ['excellent', 'good', 'fair', 'poor'];
-	const trends = ['improving', 'stable', 'worsening', 'fluctuating'];
+	const skinTextures = ['smooth', 'rough', 'flaky', 'bumpy'];
 	const barrierStates = ['intact', 'mildly_compromised', 'compromised'];
 	const skinTypes = ['dry', 'oily', 'combination', 'sensitive', 'normal', 'acne_prone'];
 
@@ -28,7 +28,7 @@
 	// Form state (bound to inputs so AI can pre-fill)
 	let snapshotDate = $state(new Date().toISOString().slice(0, 10));
 	let overallState = $state('');
-	let trend = $state('');
+	let texture = $state('');
 	let barrierState = $state('');
 	let skinType = $state('');
 	let hydrationLevel = $state('');
@@ -64,7 +64,7 @@
 		try {
 			const r = await analyzeSkinPhotos(selectedFiles);
 			if (r.overall_state) overallState = r.overall_state;
-			if (r.trend) trend = r.trend;
+			if (r.texture) texture = r.texture;
 			if (r.skin_type) skinType = r.skin_type;
 			if (r.barrier_state) barrierState = r.barrier_state;
 			if (r.hydration_level != null) hydrationLevel = String(r.hydration_level);
@@ -178,12 +178,12 @@
 						</Select>
 					</div>
 					<div class="space-y-1">
-						<Label>Trend</Label>
-						<input type="hidden" name="trend" value={trend} />
-						<Select type="single" value={trend} onValueChange={(v) => (trend = v)}>
-							<SelectTrigger>{trend || 'Select'}</SelectTrigger>
+						<Label>Texture</Label>
+						<input type="hidden" name="texture" value={texture} />
+						<Select type="single" value={texture} onValueChange={(v) => (texture = v)}>
+							<SelectTrigger>{texture || 'Select'}</SelectTrigger>
 							<SelectContent>
-								{#each trends as t (t)}
+								{#each skinTextures as t (t)}
 									<SelectItem value={t}>{t}</SelectItem>
 								{/each}
 							</SelectContent>
@@ -296,8 +296,8 @@
 									{snap.overall_state}
 								</span>
 							{/if}
-							{#if snap.trend}
-								<Badge variant="secondary">{snap.trend}</Badge>
+							{#if snap.texture}
+								<Badge variant="secondary">{snap.texture}</Badge>
 							{/if}
 						</div>
 					</div>