diff --git a/apps/desktop/src-tauri/src/business/services/batch_watermark_processor.rs b/apps/desktop/src-tauri/src/business/services/batch_watermark_processor.rs
index 9d45211..4efc531 100644
--- a/apps/desktop/src-tauri/src/business/services/batch_watermark_processor.rs
+++ b/apps/desktop/src-tauri/src/business/services/batch_watermark_processor.rs
@@ -28,7 +28,7 @@ impl BatchWatermarkProcessor {
         task: BatchWatermarkTask,
         repository: Arc<MaterialRepository>,
     ) -> Result<()> {
-        let timer = PERFORMANCE_MONITOR.start_operation("batch_watermark_processing");
+        let _timer = PERFORMANCE_MONITOR.start_operation("batch_watermark_processing");
         let start_time = Instant::now();
 
         info!(
@@ -343,7 +343,7 @@ impl BatchWatermarkProcessor {
     /// 保存检测结果
     async fn save_detection_result(
         result: &crate::data::models::watermark::WatermarkDetectionResult,
-        repository: &MaterialRepository,
+        _repository: &MaterialRepository,
     ) -> Result<()> {
         // TODO: 实现检测结果保存逻辑
         debug!(
@@ -386,7 +386,7 @@ impl BatchWatermarkProcessor {
     }
 
     /// 从配置中获取水印路径
-    fn get_watermark_path_from_config(config: &WatermarkConfig) -> Result<String> {
+    fn get_watermark_path_from_config(_config: &WatermarkConfig) -> Result<String> {
         // TODO: 根据水印类型和配置获取实际的水印文件路径
         // 这里需要与水印模板管理系统集成
         Ok("watermarks/default.png".to_string())
diff --git a/apps/desktop/src-tauri/src/business/services/conversation_service.rs b/apps/desktop/src-tauri/src/business/services/conversation_service.rs
index d82ade6..8717378 100644
--- a/apps/desktop/src-tauri/src/business/services/conversation_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/conversation_service.rs
@@ -139,7 +139,7 @@ impl ConversationService {
         gemini_service: &mut GeminiService,
         current_message: &str,
         history_messages: &[ConversationMessage],
-        system_prompt: Option<&str>,
+        _system_prompt: Option<&str>,
     ) -> Result<String> {
         use crate::infrastructure::gemini_service::{GenerateContentRequest, ContentPart, Part, GenerationConfig};
 
diff --git a/apps/desktop/src-tauri/src/business/services/material_matching_service.rs b/apps/desktop/src-tauri/src/business/services/material_matching_service.rs
index 26b9769..abc386e 100644
--- a/apps/desktop/src-tauri/src/business/services/material_matching_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/material_matching_service.rs
@@ -812,7 +812,7 @@ impl MaterialMatchingService {
         used_segment_ids: &mut HashSet<String>,
         template_already_used_sequence_001: bool,
     ) -> Result<SegmentMatch, String> {
-        let target_duration = track_segment.duration as f64 / 1_000_000.0; // 转换为秒
+        let _target_duration = track_segment.duration as f64 / 1_000_000.0; // 转换为秒
 
         // 获取所有AI分类，按权重排序
         let ai_classifications = match self.ai_classification_service.get_classifications_by_weight().await {
@@ -933,9 +933,9 @@ impl MaterialMatchingService {
         // 开始循环匹配
         loop {
             total_rounds += 1;
-            let round_start_time = std::time::Instant::now();
+            let _round_start_time = std::time::Instant::now();
             let mut round_successful_matches = 0u32;
-            let mut round_failed_matches = 0u32;
+            let mut _round_failed_matches = 0u32;
 
             // 记录本轮开始时的已使用片段数量，用于检测是否有实质性进展
             let segments_count_before_round = global_used_segment_ids.len();
@@ -1027,7 +1027,7 @@ impl MaterialMatchingService {
                             });
                         } else {
                             // 部分匹配失败，视为失败
-                            round_failed_matches += 1;
+                            _round_failed_matches += 1;
                             failed_matches += 1;
 
                             let failure_reason = format!("部分匹配失败：{} 个片段匹配成功，{} 个片段匹配失败",
@@ -1052,7 +1052,7 @@ impl MaterialMatchingService {
                         }
                     }
                     Err(error) => {
-                        round_failed_matches += 1;
+                        _round_failed_matches += 1;
                         failed_matches += 1;
 
                         matching_results.push(BatchMatchingItemResult {
diff --git a/apps/desktop/src-tauri/src/business/services/tests/template_foreign_key_test.rs b/apps/desktop/src-tauri/src/business/services/tests/template_foreign_key_test.rs
index 8a1614d..8023d3e 100644
--- a/apps/desktop/src-tauri/src/business/services/tests/template_foreign_key_test.rs
+++ b/apps/desktop/src-tauri/src/business/services/tests/template_foreign_key_test.rs
@@ -127,7 +127,7 @@ mod template_foreign_key_tests {
     #[tokio::test]
     async fn test_template_id_consistency() {
         let database = create_test_database();
-        let service = TemplateService::new(database);
+        let _service = TemplateService::new(database);
         let template = create_test_template();
 
         // 验证模板和素材的ID一致性
diff --git a/apps/desktop/src-tauri/src/business/services/tests/watermark_tests.rs b/apps/desktop/src-tauri/src/business/services/tests/watermark_tests.rs
index f084479..b257bfc 100644
--- a/apps/desktop/src-tauri/src/business/services/tests/watermark_tests.rs
+++ b/apps/desktop/src-tauri/src/business/services/tests/watermark_tests.rs
@@ -208,10 +208,6 @@ mod watermark_tests {
 
     #[test]
     fn test_watermark_position_calculation() {
-        let video_width = 1920.0;
-        let video_height = 1080.0;
-        let scale = 1.0;
-
         // 测试固定位置
         let positions = vec![
             WatermarkPosition::TopLeft,
diff --git a/apps/desktop/src-tauri/src/business/services/watermark_addition_service.rs b/apps/desktop/src-tauri/src/business/services/watermark_addition_service.rs
index 335eb4f..580ddef 100644
--- a/apps/desktop/src-tauri/src/business/services/watermark_addition_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/watermark_addition_service.rs
@@ -25,9 +25,9 @@ impl WatermarkAdditionService {
         output_path: &str,
         watermark_path: &str,
         config: &WatermarkConfig,
-        repository: Arc<MaterialRepository>,
+        _repository: Arc<MaterialRepository>,
     ) -> Result<WatermarkProcessingResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_addition_video");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_addition_video");
         let start_time = Instant::now();
 
         info!(
@@ -139,7 +139,7 @@ impl WatermarkAdditionService {
         watermark_path: &str,
         config: &WatermarkConfig,
     ) -> Result<WatermarkProcessingResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_addition_image");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_addition_image");
         let start_time = Instant::now();
 
         info!(
@@ -597,7 +597,7 @@ impl WatermarkAdditionService {
         opacity: f32,
         scale: f32,
         rotation: f32,
-        blend_mode: &BlendMode,
+        _blend_mode: &BlendMode,
         animation: Option<&WatermarkAnimation>,
     ) -> String {
         let mut filter_parts = Vec::new();
@@ -652,7 +652,7 @@ impl WatermarkAdditionService {
         position: &(f32, f32),
         opacity: f32,
         scale: f32,
-        rotation: f32,
+        _rotation: f32,
     ) -> String {
         let font_size = (24.0 * scale) as u32;
         let alpha = (opacity * 255.0) as u32;
@@ -693,7 +693,7 @@ impl WatermarkAdditionService {
     }
 
     /// 转换SVG为PNG
-    async fn convert_svg_to_png(svg_path: &str, scale: f32) -> Result<String> {
+    async fn convert_svg_to_png(svg_path: &str, _scale: f32) -> Result<String> {
         // TODO: 实现SVG到PNG的转换
         // 可以使用librsvg或其他SVG渲染库
         
diff --git a/apps/desktop/src-tauri/src/business/services/watermark_detection_service.rs b/apps/desktop/src-tauri/src/business/services/watermark_detection_service.rs
index c7859a6..bb29b6e 100644
--- a/apps/desktop/src-tauri/src/business/services/watermark_detection_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/watermark_detection_service.rs
@@ -22,9 +22,9 @@ impl WatermarkDetectionService {
         material_id: &str,
         video_path: &str,
         config: &WatermarkDetectionConfig,
-        repository: Arc<MaterialRepository>,
+        _repository: Arc<MaterialRepository>,
     ) -> Result<WatermarkDetectionResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_detection");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_detection");
         let start_time = Instant::now();
 
         info!(
@@ -142,7 +142,7 @@ impl WatermarkDetectionService {
         image_path: &str,
         config: &WatermarkDetectionConfig,
     ) -> Result<WatermarkDetectionResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_detection_image");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_detection_image");
         let start_time = Instant::now();
 
         info!(
@@ -306,7 +306,7 @@ impl WatermarkDetectionService {
     /// 模板匹配检测
     async fn template_matching_detection(
         image_path: &str,
-        config: &WatermarkDetectionConfig,
+        _config: &WatermarkDetectionConfig,
     ) -> Result<Vec<WatermarkDetection>> {
         // TODO: 实现OpenCV模板匹配算法
         // 这里先返回模拟结果，后续需要集成OpenCV
@@ -334,7 +334,7 @@ impl WatermarkDetectionService {
     /// 边缘检测
     async fn edge_detection(
         image_path: &str,
-        config: &WatermarkDetectionConfig,
+        _config: &WatermarkDetectionConfig,
     ) -> Result<Vec<WatermarkDetection>> {
         // TODO: 实现边缘检测算法
         debug!("执行边缘检测: {}", image_path);
@@ -346,7 +346,7 @@ impl WatermarkDetectionService {
     /// 频域分析检测
     async fn frequency_analysis_detection(
         image_path: &str,
-        config: &WatermarkDetectionConfig,
+        _config: &WatermarkDetectionConfig,
     ) -> Result<Vec<WatermarkDetection>> {
         // TODO: 实现频域分析算法
         debug!("执行频域分析检测: {}", image_path);
@@ -358,7 +358,7 @@ impl WatermarkDetectionService {
     /// 透明度检测
     async fn transparency_detection(
         image_path: &str,
-        config: &WatermarkDetectionConfig,
+        _config: &WatermarkDetectionConfig,
     ) -> Result<Vec<WatermarkDetection>> {
         // TODO: 实现透明度检测算法
         debug!("执行透明度检测: {}", image_path);
diff --git a/apps/desktop/src-tauri/src/business/services/watermark_removal_service.rs b/apps/desktop/src-tauri/src/business/services/watermark_removal_service.rs
index b0255e9..34ab893 100644
--- a/apps/desktop/src-tauri/src/business/services/watermark_removal_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/watermark_removal_service.rs
@@ -23,9 +23,9 @@ impl WatermarkRemovalService {
         input_path: &str,
         output_path: &str,
         config: &WatermarkRemovalConfig,
-        repository: Arc<MaterialRepository>,
+        _repository: Arc<MaterialRepository>,
     ) -> Result<WatermarkProcessingResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_removal_video");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_removal_video");
         let start_time = Instant::now();
 
         info!(
@@ -117,7 +117,7 @@ impl WatermarkRemovalService {
         output_path: &str,
         config: &WatermarkRemovalConfig,
     ) -> Result<WatermarkProcessingResult> {
-        let timer = PERFORMANCE_MONITOR.start_operation("watermark_removal_image");
+        let _timer = PERFORMANCE_MONITOR.start_operation("watermark_removal_image");
         let start_time = Instant::now();
 
         info!(
diff --git a/apps/desktop/src-tauri/src/business/services/watermark_template_service.rs b/apps/desktop/src-tauri/src/business/services/watermark_template_service.rs
index 5f1ebb4..d205b47 100644
--- a/apps/desktop/src-tauri/src/business/services/watermark_template_service.rs
+++ b/apps/desktop/src-tauri/src/business/services/watermark_template_service.rs
@@ -27,7 +27,7 @@ impl WatermarkTemplateService {
         description: Option<String>,
         tags: Vec<String>,
     ) -> Result<WatermarkTemplate> {
-        let timer = PERFORMANCE_MONITOR.start_operation("upload_watermark_template");
+        let _timer = PERFORMANCE_MONITOR.start_operation("upload_watermark_template");
         let start_time = Instant::now();
 
         info!(
@@ -165,7 +165,7 @@ impl WatermarkTemplateService {
         info!(template_id = %template_id, hard_delete = hard_delete, "开始删除水印模板");
 
         // 获取模板信息
-        let template = repository.get_by_id(&template_id)?
+        let _template = repository.get_by_id(&template_id)?
             .ok_or_else(|| anyhow!("模板不存在: {}", template_id))?;
 
         if hard_delete {
@@ -297,7 +297,7 @@ impl WatermarkTemplateService {
     }
 
     /// 生成文字水印缩略图
-    fn generate_text_thumbnail(text_file_path: &str, output_path: &str) -> Result<()> {
+    fn generate_text_thumbnail(_text_file_path: &str, output_path: &str) -> Result<()> {
         // TODO: 实现文字水印缩略图生成
         // 可以使用图像库生成包含文字的预览图
         
diff --git a/apps/desktop/src-tauri/src/presentation/commands/similarity_search_commands.rs b/apps/desktop/src-tauri/src/presentation/commands/similarity_search_commands.rs
index c60c467..aececd5 100644
--- a/apps/desktop/src-tauri/src/presentation/commands/similarity_search_commands.rs
+++ b/apps/desktop/src-tauri/src/presentation/commands/similarity_search_commands.rs
@@ -1,5 +1,5 @@
 use tauri::{command, State};
-use crate::infrastructure::app_state::AppState;
+use crate::app_state::AppState;
 use crate::data::models::outfit_search::{SearchRequest, SearchResponse, SearchConfig, RelevanceThreshold};
 use crate::presentation::commands::outfit_search_commands::search_similar_outfits;
 
@@ -74,13 +74,14 @@ pub async fn get_similarity_search_suggestions(
     
     // 基于查询过滤建议
     let filtered_suggestions: Vec<String> = base_suggestions
-        .into_iter()
+        .iter()
         .filter(|suggestion| {
-            suggestion.contains(&query) || 
+            suggestion.contains(&query) ||
             query.chars().any(|c| suggestion.contains(c))
         })
+        .cloned()
         .collect();
-    
+
     // 如果没有匹配的建议，返回基础建议的前几个
     if filtered_suggestions.is_empty() {
         Ok(base_suggestions.into_iter().take(6).collect())