chore: snapshot before performance optimization

2026-04-17 21:14:43 +02:00
parent b6a548acd8
commit 2eceb32fd4
95 changed files with 4357 additions and 1942 deletions
--- a/keep-notes/fix_ai_lang.py
+++ b/keep-notes/fix_ai_lang.py
@@ -0,0 +1,70 @@
+import re
+
+# 1. Update types.ts
+with open('lib/ai/types.ts', 'r') as f:
+    types_content = f.read()
+
+types_content = types_content.replace(
+    'generateTags(content: string): Promise<TagSuggestion[]>',
+    'generateTags(content: string, language?: string): Promise<TagSuggestion[]>'
+)
+with open('lib/ai/types.ts', 'w') as f:
+    f.write(types_content)
+
+# 2. Update OllamaProvider
+with open('lib/ai/providers/ollama.ts', 'r') as f:
+    ollama_content = f.read()
+
+ollama_content = ollama_content.replace(
+    'async generateTags(content: string): Promise<TagSuggestion[]>',
+    'async generateTags(content: string, language: string = "en"): Promise<TagSuggestion[]>'
+)
+
+# Replace the hardcoded prompt build logic
+prompt_logic = """
+      const promptText = language === 'fa' 
+        ? `متن زیر را تحلیل کن و مفاهیم کلیدی را به عنوان برچسب استخراج کن (حداکثر ۱-۳ کلمه).\nقوانین:\n- کلمات ربط را حذف کن.\n- عبارات ترکیبی را حفظ کن.\n- حداکثر ۵ برچسب.\nپاسخ فقط به صورت لیست JSON با فرمت [{"tag": "string", "confidence": number}]\nمتن: "${content}"`
+        : language === 'fr'
+        ? `Analyse la note suivante et extrais les concepts clés sous forme de tags courts (1-3 mots max).\nRègles:\n- Pas de mots de liaison.\n- Garde les expressions composées ensemble.\n- Normalise en minuscules sauf noms propres.\n- Maximum 5 tags.\nRéponds UNIQUEMENT sous forme de liste JSON d'objets : [{"tag": "string", "confidence": number}].\nContenu de la note: "${content}"`
+        : `Analyze the following note and extract key concepts as short tags (1-3 words max).\nRules:\n- No stop words.\n- Keep compound expressions together.\n- Lowercase unless proper noun.\n- Max 5 tags.\nRespond ONLY as a JSON list of objects: [{"tag": "string", "confidence": number}].\nNote content: "${content}"`;
+
+      const response = await fetch(`${this.baseUrl}/generate`, {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({
+          model: this.modelName,
+          prompt: promptText,
+          stream: false,
+        }),
+      });
+"""
+
+# The original has:
+# const response = await fetch(`${this.baseUrl}/generate`, {
+#   method: 'POST',
+#   headers: { 'Content-Type': 'application/json' },
+#   body: JSON.stringify({
+#     model: this.modelName,
+#     prompt: `Analyse la note suivante...
+
+ollama_content = re.sub(
+    r'const response = await fetch\(`\$\{this\.baseUrl\}/generate`.*?\}\),\n\s*\}\);',
+    prompt_logic.strip(),
+    ollama_content,
+    flags=re.DOTALL
+)
+
+with open('lib/ai/providers/ollama.ts', 'w') as f:
+    f.write(ollama_content)
+
+# 3. Update route.ts
+with open('app/api/ai/tags/route.ts', 'r') as f:
+    route_content = f.read()
+
+route_content = route_content.replace(
+    'const tags = await provider.generateTags(content);',
+    'const tags = await provider.generateTags(content, language);'
+)
+with open('app/api/ai/tags/route.ts', 'w') as f:
+    f.write(route_content)
+