fix(presentation): 修复 presentation 模块类型错误和语法问题

- 创建 types.ts 定义完整的类型系统
- 重写 DocumentRenderer.tsx 修复语法错误
- 重写 QuizRenderer.tsx 修复语法错误
- 重写 PresentationContainer.tsx 添加类型守卫
- 重写 TypeSwitcher.tsx 修复类型引用
- 更新 index.ts 移除不存在的 ChartRenderer 导出

审计结果:
- 类型检查: 通过
- 单元测试: 222 passed
- 构建: 成功

crates/zclaw-growth/src/retrieval/query.rs

@@ -0,0 +1,352 @@
+//! Query Analyzer
+//!
+//! Provides query analysis and expansion capabilities for improved retrieval.
+//! Extracts keywords, identifies intent, and generates search variations.
+
+use crate::types::MemoryType;
+use std::collections::HashSet;
+
+/// Query analysis result
+#[derive(Debug, Clone)]
+pub struct AnalyzedQuery {
+    /// Original query string
+    pub original: String,
+    /// Extracted keywords
+    pub keywords: Vec<String>,
+    /// Query intent
+    pub intent: QueryIntent,
+    /// Memory types to search (inferred from query)
+    pub target_types: Vec<MemoryType>,
+    /// Expanded search terms
+    pub expansions: Vec<String>,
+}
+
+/// Query intent classification
+#[derive(Debug, Clone, Copy, PartialEq, Eq)]
+pub enum QueryIntent {
+    /// Looking for preferences/settings
+    Preference,
+    /// Looking for factual knowledge
+    Knowledge,
+    /// Looking for how-to/experience
+    Experience,
+    /// General conversation
+    General,
+    /// Code-related query
+    Code,
+    /// Configuration query
+    Configuration,
+}
+
+/// Query analyzer
+pub struct QueryAnalyzer {
+    /// Keywords that indicate preference queries
+    preference_indicators: HashSet<String>,
+    /// Keywords that indicate knowledge queries
+    knowledge_indicators: HashSet<String>,
+    /// Keywords that indicate experience queries
+    experience_indicators: HashSet<String>,
+    /// Keywords that indicate code queries
+    code_indicators: HashSet<String>,
+    /// Stop words to filter out
+    stop_words: HashSet<String>,
+}
+
+impl QueryAnalyzer {
+    /// Create a new query analyzer
+    pub fn new() -> Self {
+        Self {
+            preference_indicators: [
+                "prefer", "like", "want", "favorite", "favourite", "style",
+                "format", "language", "setting", "preference", "usually",
+                "typically", "always", "never", "习惯", "偏好", "喜欢", "想要",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
+            knowledge_indicators: [
+                "what", "how", "why", "explain", "tell", "know", "learn",
+                "understand", "meaning", "definition", "concept", "theory",
+                "是什么", "怎么", "为什么", "解释", "了解", "知道",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
+            experience_indicators: [
+                "experience", "tried", "used", "before", "last time",
+                "previous", "history", "remember", "recall", "when",
+                "经验", "尝试", "用过", "上次", "记得", "回忆",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
+            code_indicators: [
+                "code", "function", "class", "method", "variable", "type",
+                "error", "bug", "fix", "implement", "refactor", "api",
+                "代码", "函数", "类", "方法", "变量", "错误", "修复", "实现",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
+            stop_words: [
+                "the", "a", "an", "is", "are", "was", "were", "be", "been",
+                "have", "has", "had", "do", "does", "did", "will", "would",
+                "could", "should", "may", "might", "must", "can", "to", "of",
+                "in", "for", "on", "with", "at", "by", "from", "as", "and",
+                "or", "but", "if", "then", "else", "when", "where", "which",
+                "who", "whom", "whose", "this", "that", "these", "those",
+            ]
+            .iter()
+            .map(|s| s.to_string())
+            .collect(),
+        }
+    }
+
+    /// Analyze a query string
+    pub fn analyze(&self, query: &str) -> AnalyzedQuery {
+        let keywords = self.extract_keywords(query);
+        let intent = self.classify_intent(&keywords);
+        let target_types = self.infer_memory_types(intent, &keywords);
+        let expansions = self.expand_query(&keywords);
+
+        AnalyzedQuery {
+            original: query.to_string(),
+            keywords,
+            intent,
+            target_types,
+            expansions,
+        }
+    }
+
+    /// Extract keywords from query
+    fn extract_keywords(&self, query: &str) -> Vec<String> {
+        query
+            .to_lowercase()
+            .split(|c: char| !c.is_alphanumeric() && !is_cjk(c))
+            .filter(|s| !s.is_empty() && s.len() > 1)
+            .filter(|s| !self.stop_words.contains(*s))
+            .map(|s| s.to_string())
+            .collect()
+    }
+
+    /// Classify query intent
+    fn classify_intent(&self, keywords: &[String]) -> QueryIntent {
+        let mut scores = [
+            (QueryIntent::Preference, 0),
+            (QueryIntent::Knowledge, 0),
+            (QueryIntent::Experience, 0),
+            (QueryIntent::Code, 0),
+        ];
+
+        for keyword in keywords {
+            if self.preference_indicators.contains(keyword) {
+                scores[0].1 += 2;
+            }
+            if self.knowledge_indicators.contains(keyword) {
+                scores[1].1 += 2;
+            }
+            if self.experience_indicators.contains(keyword) {
+                scores[2].1 += 2;
+            }
+            if self.code_indicators.contains(keyword) {
+                scores[3].1 += 2;
+            }
+        }
+
+        // Find highest scoring intent
+        scores.sort_by(|a, b| b.1.cmp(&a.1));
+
+        if scores[0].1 > 0 {
+            scores[0].0
+        } else {
+            QueryIntent::General
+        }
+    }
+
+    /// Infer which memory types to search
+    fn infer_memory_types(&self, intent: QueryIntent, _keywords: &[String]) -> Vec<MemoryType> {
+        let mut types = Vec::new();
+
+        match intent {
+            QueryIntent::Preference => {
+                types.push(MemoryType::Preference);
+            }
+            QueryIntent::Knowledge | QueryIntent::Code => {
+                types.push(MemoryType::Knowledge);
+                types.push(MemoryType::Experience);
+            }
+            QueryIntent::Experience => {
+                types.push(MemoryType::Experience);
+                types.push(MemoryType::Knowledge);
+            }
+            QueryIntent::General => {
+                // Search all types
+                types.push(MemoryType::Preference);
+                types.push(MemoryType::Knowledge);
+                types.push(MemoryType::Experience);
+            }
+            QueryIntent::Configuration => {
+                types.push(MemoryType::Preference);
+                types.push(MemoryType::Knowledge);
+            }
+        }
+
+        types
+    }
+
+    /// Expand query with related terms
+    fn expand_query(&self, keywords: &[String]) -> Vec<String> {
+        let mut expansions = Vec::new();
+
+        // Add stemmed variations (simplified)
+        for keyword in keywords {
+            // Add singular/plural variations
+            if keyword.ends_with('s') && keyword.len() > 3 {
+                expansions.push(keyword[..keyword.len()-1].to_string());
+            } else {
+                expansions.push(format!("{}s", keyword));
+            }
+
+            // Add common synonyms (simplified)
+            if let Some(synonyms) = self.get_synonyms(keyword) {
+                expansions.extend(synonyms);
+            }
+        }
+
+        expansions
+    }
+
+    /// Get synonyms for a keyword (simplified)
+    fn get_synonyms(&self, keyword: &str) -> Option<Vec<String>> {
+        let synonyms: &[&str] = match keyword {
+            "code" => &["program", "script", "source"],
+            "error" => &["bug", "issue", "problem", "exception"],
+            "fix" => &["solve", "resolve", "repair", "patch"],
+            "fast" => &["quick", "speed", "performance", "efficient"],
+            "slow" => &["performance", "optimize", "speed"],
+            "help" => &["assist", "support", "guide", "aid"],
+            "learn" => &["study", "understand", "know", "grasp"],
+            _ => return None,
+        };
+
+        Some(synonyms.iter().map(|s| s.to_string()).collect())
+    }
+
+    /// Generate search queries from analyzed query
+    pub fn generate_search_queries(&self, analyzed: &AnalyzedQuery) -> Vec<String> {
+        let mut queries = vec![analyzed.original.clone()];
+
+        // Add keyword-based query
+        if !analyzed.keywords.is_empty() {
+            queries.push(analyzed.keywords.join(" "));
+        }
+
+        // Add expanded terms
+        for expansion in &analyzed.expansions {
+            if !expansion.is_empty() {
+                queries.push(expansion.clone());
+            }
+        }
+
+        // Deduplicate
+        queries.sort();
+        queries.dedup();
+
+        queries
+    }
+}
+
+impl Default for QueryAnalyzer {
+    fn default() -> Self {
+        Self::new()
+    }
+}
+
+/// Check if character is CJK
+fn is_cjk(c: char) -> bool {
+    matches!(c,
+        '\u{4E00}'..='\u{9FFF}' |  // CJK Unified Ideographs
+        '\u{3400}'..='\u{4DBF}' |  // CJK Unified Ideographs Extension A
+        '\u{20000}'..='\u{2A6DF}' | // CJK Unified Ideographs Extension B
+        '\u{2A700}'..='\u{2B73F}' | // CJK Unified Ideographs Extension C
+        '\u{2B740}'..='\u{2B81F}' | // CJK Unified Ideographs Extension D
+        '\u{2B820}'..='\u{2CEAF}' | // CJK Unified Ideographs Extension E
+        '\u{F900}'..='\u{FAFF}' |   // CJK Compatibility Ideographs
+        '\u{2F800}'..='\u{2FA1F}'   // CJK Compatibility Ideographs Supplement
+    )
+}
+
+#[cfg(test)]
+mod tests {
+    use super::*;
+
+    #[test]
+    fn test_extract_keywords() {
+        let analyzer = QueryAnalyzer::new();
+        let keywords = analyzer.extract_keywords("What is the Rust programming language?");
+
+        assert!(keywords.contains(&"rust".to_string()));
+        assert!(keywords.contains(&"programming".to_string()));
+        assert!(keywords.contains(&"language".to_string()));
+        assert!(!keywords.contains(&"the".to_string())); // stop word
+    }
+
+    #[test]
+    fn test_classify_intent_preference() {
+        let analyzer = QueryAnalyzer::new();
+        let analyzed = analyzer.analyze("I prefer concise responses");
+
+        assert_eq!(analyzed.intent, QueryIntent::Preference);
+        assert!(analyzed.target_types.contains(&MemoryType::Preference));
+    }
+
+    #[test]
+    fn test_classify_intent_knowledge() {
+        let analyzer = QueryAnalyzer::new();
+        let analyzed = analyzer.analyze("Explain how async/await works in Rust");
+
+        assert_eq!(analyzed.intent, QueryIntent::Knowledge);
+    }
+
+    #[test]
+    fn test_classify_intent_code() {
+        let analyzer = QueryAnalyzer::new();
+        let analyzed = analyzer.analyze("Fix this error in my function");
+
+        assert_eq!(analyzed.intent, QueryIntent::Code);
+    }
+
+    #[test]
+    fn test_query_expansion() {
+        let analyzer = QueryAnalyzer::new();
+        let analyzed = analyzer.analyze("fix the error");
+
+        assert!(!analyzed.expansions.is_empty());
+    }
+
+    #[test]
+    fn test_generate_search_queries() {
+        let analyzer = QueryAnalyzer::new();
+        let analyzed = analyzer.analyze("Rust programming");
+        let queries = analyzer.generate_search_queries(&analyzed);
+
+        assert!(queries.len() >= 1);
+    }
+
+    #[test]
+    fn test_cjk_detection() {
+        assert!(is_cjk('中'));
+        assert!(is_cjk('文'));
+        assert!(!is_cjk('a'));
+        assert!(!is_cjk('1'));
+    }
+
+    #[test]
+    fn test_chinese_keywords() {
+        let analyzer = QueryAnalyzer::new();
+        let keywords = analyzer.extract_keywords("我喜欢简洁的回复");
+
+        // Chinese characters should be extracted
+        assert!(!keywords.is_empty());
+    }
+}