fix(presentation): 修复 presentation 模块类型错误和语法问题
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- 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
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@@ -484,6 +484,124 @@ pub async fn extract_session_memories(
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extractor.extract(&messages).await
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}
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/// Extract memories from session and store to SqliteStorage
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/// This combines extraction and storage in one command
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#[tauri::command]
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pub async fn extract_and_store_memories(
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messages: Vec<ChatMessage>,
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agent_id: String,
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llm_endpoint: Option<String>,
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llm_api_key: Option<String>,
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) -> Result<ExtractionResult, String> {
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use zclaw_growth::{MemoryEntry, MemoryType, VikingStorage};
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let start_time = std::time::Instant::now();
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// 1. Extract memories
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let config = ExtractionConfig {
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agent_id: agent_id.clone(),
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..Default::default()
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};
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let mut extractor = SessionExtractor::new(config);
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// Configure LLM if credentials provided
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if let (Some(endpoint), Some(api_key)) = (llm_endpoint, llm_api_key) {
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extractor = extractor.with_llm(endpoint, api_key);
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}
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let extraction_result = extractor.extract(&messages).await?;
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// 2. Get storage instance
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let storage = crate::viking_commands::get_storage()
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.await
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.map_err(|e| format!("Storage not available: {}", e))?;
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// 3. Store extracted memories
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let mut stored_count = 0;
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let mut store_errors = Vec::new();
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for memory in &extraction_result.memories {
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// Map MemoryCategory to zclaw_growth::MemoryType
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let memory_type = match memory.category {
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MemoryCategory::UserPreference => MemoryType::Preference,
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MemoryCategory::UserFact => MemoryType::Knowledge,
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MemoryCategory::AgentLesson => MemoryType::Experience,
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MemoryCategory::AgentPattern => MemoryType::Experience,
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MemoryCategory::Task => MemoryType::Knowledge,
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};
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// Generate category slug for URI
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let category_slug = match memory.category {
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MemoryCategory::UserPreference => "preferences",
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MemoryCategory::UserFact => "facts",
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MemoryCategory::AgentLesson => "lessons",
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MemoryCategory::AgentPattern => "patterns",
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MemoryCategory::Task => "tasks",
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};
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// Create MemoryEntry using the correct API
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let entry = MemoryEntry::new(
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&agent_id,
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memory_type,
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category_slug,
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memory.content.clone(),
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)
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.with_keywords(memory.tags.clone())
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.with_importance(memory.importance);
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// Store to SqliteStorage
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match storage.store(&entry).await {
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Ok(_) => stored_count += 1,
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Err(e) => {
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store_errors.push(format!("Failed to store {}: {}", memory.category, e));
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}
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}
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}
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let elapsed = start_time.elapsed().as_millis() as u64;
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// Log any storage errors
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if !store_errors.is_empty() {
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tracing::warn!(
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"[extract_and_store] {} memories stored, {} errors: {}",
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stored_count,
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store_errors.len(),
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store_errors.join("; ")
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);
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}
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tracing::info!(
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"[extract_and_store] Extracted {} memories, stored {} in {}ms",
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extraction_result.memories.len(),
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stored_count,
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elapsed
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);
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// Return updated result with storage info
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Ok(ExtractionResult {
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memories: extraction_result.memories,
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summary: format!(
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"{} (Stored: {})",
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extraction_result.summary, stored_count
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),
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tokens_saved: extraction_result.tokens_saved,
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extraction_time_ms: elapsed,
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})
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}
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impl std::fmt::Display for MemoryCategory {
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fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
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match self {
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MemoryCategory::UserPreference => write!(f, "user_preference"),
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MemoryCategory::UserFact => write!(f, "user_fact"),
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MemoryCategory::AgentLesson => write!(f, "agent_lesson"),
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MemoryCategory::AgentPattern => write!(f, "agent_pattern"),
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MemoryCategory::Task => write!(f, "task"),
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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