feat(routines): enrich single AI suggestions with concise context
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5 changed files with 113 additions and 8 deletions
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@ -171,6 +171,10 @@
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"suggest_errorSave": "Error saving.",
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"suggest_amMorning": "AM (morning)",
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"suggest_pmEvening": "PM (evening)",
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"suggest_summaryPrimaryGoal": "Primary goal",
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"suggest_summaryConfidence": "Confidence",
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"suggest_summaryConstraints": "Constraints",
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"suggest_stepOptionalBadge": "optional",
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"medications_title": "Medications",
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"medications_count": "{count} entries",
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@ -171,6 +171,10 @@
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"suggest_errorSave": "Błąd podczas zapisywania.",
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"suggest_amMorning": "AM (rano)",
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"suggest_pmEvening": "PM (wieczór)",
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"suggest_summaryPrimaryGoal": "Główny cel",
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"suggest_summaryConfidence": "Pewność",
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"suggest_summaryConstraints": "Ograniczenia",
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"suggest_stepOptionalBadge": "opcjonalny",
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"medications_title": "Leki",
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"medications_count": "{count} wpisów",
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@ -224,11 +224,20 @@ export interface SuggestedStep {
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action_notes?: string;
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dose?: string;
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region?: string;
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why_this_step?: string;
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optional?: boolean;
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}
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export interface RoutineSuggestionSummary {
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primary_goal: string;
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constraints_applied: string[];
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confidence: number;
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}
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export interface RoutineSuggestion {
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steps: SuggestedStep[];
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reasoning: string;
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summary?: RoutineSuggestionSummary;
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}
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export interface DayPlan {
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@ -45,7 +45,7 @@
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function stepMeta(step: SuggestedStep): string {
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const parts: string[] = [];
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if (step.dose) parts.push(step.dose);
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if (step.region) parts.push(step.region);
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if (step.region && step.region.toLowerCase() !== 'face') parts.push(step.region);
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if (step.action_notes && !step.action_type) parts.push(step.action_notes);
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return parts.join(' · ');
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}
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@ -209,6 +209,20 @@
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</CardContent>
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</Card>
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{#if suggestion.summary}
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<Card class="border-muted bg-muted/30">
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<CardContent class="space-y-2 pt-4">
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<p class="text-sm"><span class="font-medium">{m["suggest_summaryPrimaryGoal"]()}:</span> {suggestion.summary.primary_goal || '—'}</p>
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<p class="text-sm"><span class="font-medium">{m["suggest_summaryConfidence"]()}:</span> {Math.round((suggestion.summary.confidence ?? 0) * 100)}%</p>
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{#if suggestion.summary.constraints_applied?.length}
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<p class="text-xs text-muted-foreground">
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{m["suggest_summaryConstraints"]()}: {suggestion.summary.constraints_applied.join(' · ')}
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</p>
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{/if}
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</CardContent>
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</Card>
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{/if}
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<!-- Steps -->
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<div class="space-y-2">
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{#each suggestion.steps as step, i (i)}
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@ -217,10 +231,18 @@
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{i + 1}
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</span>
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<div class="min-w-0 flex-1">
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<p class="text-sm font-medium">{stepLabel(step)}</p>
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<div class="flex items-center gap-2">
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<p class="text-sm font-medium">{stepLabel(step)}</p>
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{#if step.optional}
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<Badge variant="secondary">{m["suggest_stepOptionalBadge"]()}</Badge>
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{/if}
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</div>
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{#if stepMeta(step)}
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<p class="text-xs text-muted-foreground">{stepMeta(step)}</p>
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{/if}
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{#if step.why_this_step}
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<p class="text-xs text-muted-foreground italic">{step.why_this_step}</p>
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{/if}
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</div>
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</div>
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{/each}
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