chore: snapshot before performance optimization

keep-notes/fix_ollama_provider.py

@@ -0,0 +1,68 @@
+with open('lib/ai/providers/ollama.ts', 'r') as f:
+    content = f.read()
+
+# Restore generateTitles and generateText completely
+# I will find the boundaries of generateTitles and generateText and replace them.
+
+import re
+
+# We will cut the string from async generateTitles to the end of class, and replace it manually.
+start_index = content.find('async generateTitles(prompt: string): Promise<TitleSuggestion[]> {')
+
+if start_index != -1:
+    content = content[:start_index] + """async generateTitles(prompt: string): Promise<TitleSuggestion[]> {
+    try {
+      const response = await fetch(`${this.baseUrl}/generate`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model: this.modelName,
+          prompt: `${prompt}\\n\\nRéponds UNIQUEMENT sous forme de tableau JSON : [{"title": "string", "confidence": number}]`,
+          stream: false,
+        }),
+      });
+
+      if (!response.ok) throw new Error(`Ollama error: ${response.statusText}`);
+
+      const data = await response.json();
+      const text = data.response;
+
+      // Extraire le JSON de la réponse
+      const jsonMatch = text.match(/\[\s*\{[\s\S]*\}\s*\]/);
+      if (jsonMatch) {
+        return JSON.parse(jsonMatch[0]);
+      }
+
+      return [];
+    } catch (e) {
+      console.error('Erreur génération titres Ollama:', e);
+      return [];
+    }
+  }
+
+  async generateText(prompt: string): Promise<string> {
+    try {
+      const response = await fetch(`${this.baseUrl}/generate`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model: this.modelName,
+          prompt: prompt,
+          stream: false,
+        }),
+      });
+
+      if (!response.ok) throw new Error(`Ollama error: ${response.statusText}`);
+
+      const data = await response.json();
+      return data.response.trim();
+    } catch (e) {
+      console.error('Erreur génération texte Ollama:', e);
+      throw e;
+    }
+  }
+}
+"""
+
+with open('lib/ai/providers/ollama.ts', 'w') as f:
+    f.write(content)