feat: add privacy mode, thinking levels, PWA support, and i18n

- Add privacy mode to hide IP and user preferences from AI requests
- Add model thinking levels (low/medium/high) for context analysis depth
- Add PWA support with service worker, manifest, and app icons
- Add SettingsPanel for user preferences (theme, background, language)
- Add i18n translations for en/zh/ja/ko/de/fr
- Add Pinia store for centralized settings management
- Update backend to support user preferences and thinking levels
- Update config to use absolute API URLs

backend/main.py

@@ -27,10 +27,20 @@ app.add_middleware(
     allow_headers=["*"],
 )
 
+from typing import Optional
+
+class UserPreferences(BaseModel):
+    language: str = 'auto'
+    currency: str = 'auto'
+    timezone: str = 'auto'
+
 class CompletionRequest(BaseModel):
     prefix: str
     suffix: str
     languageId: str = 'markdown'
+    model_thinking: str = 'low'
+    privacy_mode: bool = False
+    user_preferences: Optional[UserPreferences] = None
 
 class OCRRequest(BaseModel):
     image: str
@@ -50,26 +60,40 @@ def get_client_ip(request: Request) -> str:
 @app.post("/v1/completions")
 async def create_completion(request: Request, req: CompletionRequest):
     request_id = str(uuid.uuid4())[:8]
-    client_ip = get_client_ip(request)
-    # 查询 IP 归属地
-    location = get_ip_location_text(client_ip)
-    if location:
-        logger.info("[%s] client_location=%s", request_id, location)
+    
+    client_ip = "hidden"
+    location = ""
+    
+    if not req.privacy_mode:
+        client_ip = get_client_ip(request)
+        # 查询 IP 归属地
+        location = get_ip_location_text(client_ip)
+        if location:
+            logger.info("[%s] client_location=%s", request_id, location)
+    
     try:
         logger.info(
-            "[%s] /v1/completions client_ip=%s prefix_chars=%d suffix_chars=%d lang=%s prefix_tail='%s' suffix_head='%s'",
+            "[%s] /v1/completions client_ip=%s prefix_chars=%d suffix_chars=%d lang=%s thinking=%s privacy=%s",
             request_id,
             client_ip,
             len(req.prefix or ""),
             len(req.suffix or ""),
             req.languageId,
-            _preview((req.prefix or "")[-120:]),
-            _preview((req.suffix or "")[:120]),
+            req.model_thinking,
+            req.privacy_mode
         )
         llm_prefix, llm_suffix = prepare_prompt_context(req.prefix or "", req.suffix or "")
         logger.info("[%s] llm_input_prefix=%r", request_id, llm_prefix)
         logger.info("[%s] llm_input_suffix=%r", request_id, llm_suffix)
-        prompt = build_prompt(req.prefix, req.suffix, req.languageId, location=location)
+        
+        prompt = build_prompt(
+            req.prefix, 
+            req.suffix, 
+            req.languageId, 
+            location=location,
+            thinking_level=req.model_thinking,
+            preferences=req.user_preferences
+        )
         result = await call_ollama(prompt, tag=f"{request_id}-primary", temperature=0.7)
 
         content = result["content"] or ""