feat(rvw): Complete RVW module development Phase 1-3

Summary:
- Migrate backend to modules/rvw with v2 API routes (/api/v2/rvw)
- Add new database fields: selectedAgents, editorialScore, methodologyStatus, picoExtract, isArchived
- Create frontend module in frontend-v2/src/modules/rvw
- Implement Dashboard with task list, filtering, batch operations
- Implement ReportDetail with dual tabs (editorial/methodology)
- Implement AgentModal for intelligent agent selection
- Register RVW module in moduleRegistry.ts
- Add navigation entry in TopNavigation
- Update documentation for RVW module status (v3.0)
- Update system status document (v2.9)

Features:
- User can select agents: editorial, methodology, or both
- Support batch task execution
- Task status filtering
- Replace console.log with logger service
- Maintain v1 API backward compatibility

Tested: Frontend and backend verified locally
Status: 85% complete (Phase 1-3 done)

backend/src/modules/rvw/services/methodologyService.ts

@@ -0,0 +1,70 @@
+/**
+ * RVW稿件审查模块 - 方法学评估服务
+ * @module rvw/services/methodologyService
+ */
+
+import fs from 'fs/promises';
+import path from 'path';
+import { fileURLToPath } from 'url';
+import { LLMFactory } from '../../../common/llm/adapters/LLMFactory.js';
+import { ModelType } from '../../../common/llm/adapters/types.js';
+import { logger } from '../../../common/logging/index.js';
+import { MethodologyReview } from '../types/index.js';
+import { parseJSONFromLLMResponse } from './utils.js';
+
+const __filename = fileURLToPath(import.meta.url);
+const __dirname = path.dirname(__filename);
+
+// Prompt文件路径
+const PROMPT_PATH = path.join(__dirname, '../../../../prompts/review_methodology_system.txt');
+
+/**
+ * 方法学评估
+ * @param text 稿件文本
+ * @param modelType 模型类型
+ * @returns 评估结果
+ */
+export async function reviewMethodology(
+  text: string,
+  modelType: ModelType = 'deepseek-v3'
+): Promise<MethodologyReview> {
+  try {
+    // 1. 读取系统Prompt
+    const systemPrompt = await fs.readFile(PROMPT_PATH, 'utf-8');
+
+    // 2. 构建消息
+    const messages = [
+      { role: 'system' as const, content: systemPrompt },
+      { role: 'user' as const, content: `请对以下稿件进行方法学评估：\n\n${text}` },
+    ];
+
+    // 3. 调用LLM
+    logger.info('[RVW:Methodology] 开始方法学评估', { modelType });
+    const llmAdapter = LLMFactory.getAdapter(modelType);
+    const response = await llmAdapter.chat(messages, {
+      temperature: 0.3,
+      maxTokens: 8000,
+    });
+    logger.info('[RVW:Methodology] 评估完成', { 
+      modelType, 
+      responseLength: response.content.length 
+    });
+
+    // 4. 解析JSON响应
+    const result = parseJSONFromLLMResponse<MethodologyReview>(response.content);
+
+    // 5. 验证响应格式
+    if (!result || typeof result.overall_score !== 'number' || !Array.isArray(result.parts)) {
+      throw new Error('LLM返回的数据格式不正确');
+    }
+
+    return result;
+  } catch (error) {
+    logger.error('[RVW:Methodology] 方法学评估失败', {
+      error: error instanceof Error ? error.message : 'Unknown error',
+      stack: error instanceof Error ? error.stack : undefined,
+    });
+    throw new Error(`方法学评估失败: ${error instanceof Error ? error.message : 'Unknown error'}`);
+  }
+}
+