feat：修复gemini tool问题，简化表情包识别，修复非多模态plan图片识别

src/common/data_models/image_data_model.py

@@ -152,22 +152,30 @@ class MaiEmoji(BaseImageDataModel):
             raise ValueError(f"数据库记录 {db_record.image_hash} 标记为文件不存在，无法创建 MaiEmoji 对象")
         obj = cls(db_record.full_path)
         obj.file_hash = db_record.image_hash
-        obj.description = db_record.description
-        if db_record.emotion:
-            obj.emotion = db_record.emotion.split(",")
+        description = db_record.description or db_record.emotion or ""
+        obj.description = description
+        normalized_tags = [
+            str(item).strip()
+            for item in str(description).replace("，", ",").replace("、", ",").replace("；", ",").split(",")
+            if str(item).strip()
+        ]
+        deduped_tags: List[str] = []
+        for item in normalized_tags:
+            if item not in deduped_tags:
+                deduped_tags.append(item)
+        obj.emotion = deduped_tags
         obj.query_count = db_record.query_count
         obj.last_used_time = db_record.last_used_time
         obj.register_time = db_record.register_time
         return obj
 
     def to_db_instance(self) -> Images:
-        emotion_str = ",".join(self.emotion) if self.emotion else None
         return Images(
             image_hash=self.file_hash,
             description=self.description,
             full_path=str(self.full_path),
             image_type=ImageType.EMOJI,
-            emotion=emotion_str,
+            emotion=None,
             query_count=self.query_count,
             last_used_time=self.last_used_time,
             register_time=self.register_time,

src/common/database/migrations/legacy_v1_to_v2.py

@@ -792,14 +792,18 @@ def _migrate_images(context: MigrationExecutionContext) -> int:
             image_hash = _normalize_required_text(row.get("emoji_hash"))
             dedupe_key = (full_path, image_hash, "EMOJI")
             if full_path and dedupe_key not in existing_keys:
+                migrated_description = _normalize_required_text(row.get("description"))
+                migrated_emotion = _normalize_optional_text(row.get("emotion"))
+                if not migrated_description and migrated_emotion:
+                    migrated_description = migrated_emotion
                 connection.execute(
                     insert_sql,
                     {
                         "image_hash": image_hash,
-                        "description": _normalize_required_text(row.get("description")),
+                        "description": migrated_description,
                         "full_path": full_path,
                         "image_type": "EMOJI",
-                        "emotion": _normalize_optional_text(row.get("emotion")),
+                        "emotion": None,
                         "query_count": _normalize_int(row.get("query_count"), default=0),
                         "is_registered": _normalize_bool(row.get("is_registered"), default=False),
                         "is_banned": _normalize_bool(row.get("is_banned"), default=False),