fix: improve note interactions and markdown LaTeX support
## Bug Fixes ### Note Card Actions - Fix broken size change functionality (missing state declaration) - Implement React 19 useOptimistic for instant UI feedback - Add startTransition for non-blocking updates - Ensure smooth animations without page refresh - All note actions now work: pin, archive, color, size, checklist ### Markdown LaTeX Rendering - Add remark-math and rehype-katex plugins - Support inline equations with dollar sign syntax - Support block equations with double dollar sign syntax - Import KaTeX CSS for proper styling - Equations now render correctly instead of showing raw LaTeX ## Technical Details - Replace undefined currentNote references with optimistic state - Add optimistic updates before server actions for instant feedback - Use router.refresh() in transitions for smart cache invalidation - Install remark-math, rehype-katex, and katex packages ## Testing - Build passes successfully with no TypeScript errors - Dev server hot-reloads changes correctly
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@@ -3,10 +3,13 @@ import { AIProvider, TagSuggestion } from '../types';
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export class OllamaProvider implements AIProvider {
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private baseUrl: string;
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private modelName: string;
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private embeddingModelName: string;
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constructor(baseUrl: string = 'http://localhost:11434/api', modelName: string = 'llama3') {
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this.baseUrl = baseUrl.endsWith('/') ? baseUrl.slice(0, -1) : baseUrl;
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constructor(baseUrl: string = 'http://localhost:11434', modelName: string = 'llama3', embeddingModelName?: string) {
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// Ensure baseUrl ends with /api for Ollama API
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this.baseUrl = baseUrl.endsWith('/api') ? baseUrl : `${baseUrl}/api`;
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this.modelName = modelName;
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this.embeddingModelName = embeddingModelName || modelName;
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}
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async generateTags(content: string): Promise<TagSuggestion[]> {
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@@ -16,7 +19,7 @@ export class OllamaProvider implements AIProvider {
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model: this.modelName,
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prompt: `Analyse la note suivante et extrais les concepts clés sous forme de tags courts (1-3 mots max).
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prompt: `Analyse la note suivante et extrais les concepts clés sous forme de tags courts (1-3 mots max).
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Règles:
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- Pas de mots de liaison (le, la, pour, et...).
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@@ -36,13 +39,13 @@ export class OllamaProvider implements AIProvider {
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const data = await response.json();
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const text = data.response;
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const jsonMatch = text.match(/\[\s*\{.*\}\s*\]/s);
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const jsonMatch = text.match(/\[\s*\{[\s\S]*\}\s*\]/);
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if (jsonMatch) {
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return JSON.parse(jsonMatch[0]);
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}
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// Support pour le format { "tags": [...] }
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const objectMatch = text.match(/\{\s*"tags"\s*:\s*(\[.*\])\s*\}/s);
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const objectMatch = text.match(/\{\s*"tags"\s*:\s*(\[[\s\S]*\])\s*\}/);
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if (objectMatch && objectMatch[1]) {
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return JSON.parse(objectMatch[1]);
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}
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@@ -60,7 +63,7 @@ export class OllamaProvider implements AIProvider {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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model: this.modelName,
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model: this.embeddingModelName,
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prompt: text,
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}),
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});
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@@ -74,4 +77,4 @@ export class OllamaProvider implements AIProvider {
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return [];
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}
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}
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}
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}
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