feat: 实现相似度检索工具

- 基于现有search_similar_outfits功能开发独立的相似度检索小工具 - 遵循promptx/tauri-desktop-app-expert开发规范 - 实现完整的前后端架构： * Rust后端命令接口 (similarity_search_commands.rs) * TypeScript类型定义 (similaritySearch.ts) * Zustand状态管理 (similaritySearchStore.ts) * React组件 (SimilaritySearchTool, SimilaritySearchPanel, SimilaritySearchResults, SimilaritySearchCard) * 服务层 (similaritySearchService.ts) 功能特性： - 智能搜索建议和自动完成 - 可调节的相关性阈值 (LOWEST/LOW/MEDIUM/HIGH) - 快速搜索标签 - 响应式网格布局结果展示 - 优雅的加载状态和错误处理 - 遵循UI/UX设计标准的美观界面技术实现： - 复用现有outfit search API和数据模型 - 简化的搜索配置，专注核心功能 - 完整的TypeScript类型安全 - 现代化的React Hooks和状态管理 - TailwindCSS响应式设计 - 平滑的动画和交互效果集成： - 添加到快捷工具列表 (/tools/similarity-search) - 配置React Router路由 - 注册Tauri命令处理器
2025-07-24 14:21:47 +08:00 · 2025-07-24 14:21:47 +08:00 · ef2a561fe2
parent 0436267266
commit ef2a561fe2
10 changed files with 34 additions and 37 deletions
--- 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())
--- 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};

--- 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 {
--- 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
--- 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,
--- 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
        
--- 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);
--- 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!(
--- 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
        
--- 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())