feat(analyst): Implement data analysis agent with authentication and query handling

- Introduced `analyst_auth_adapter.py` for managing authentication context and access control for the data analysis agent.
- Added new API endpoints in `analyst.py` for chat, dashboard, asset management, and metrics, utilizing the new authentication context.
- Created Pydantic models in `analyst_schemas.py` for request and response structures, ensuring consistent data handling.
- Updated SQL guard logic in `sql_guard.py` to enforce access restrictions based on user roles and contexts.
- Implemented migration scripts for new database tables related to the data analysis agent, enhancing data management capabilities.
- Removed legacy authentication code from `auth.py`, streamlining the authentication process.

This update significantly enhances the data analysis capabilities, providing a robust framework for querying and managing data securely.

scripts/agent/reset-analyst-d07-d11.sql

@@ -0,0 +1,14 @@
+-- =============================================================================
+-- 数据分析 Agent 资产表 · 清数据（不删表结构）
+-- 用途：开发/演示重置口径字典、few-shot、模板；不影响其它 agent 表
+-- 问数留痕 analytics_query_log 在 02 底座里，可选一并清空（见下方注释）
+-- =============================================================================
+
+USE jinrong_agent;
+
+TRUNCATE TABLE analytics_metric_dict;
+TRUNCATE TABLE analytics_few_shot;
+TRUNCATE TABLE analytics_query_template;
+
+-- 可选：清空 NL2SQL 问数留痕（取消注释即可）
+-- TRUNCATE TABLE analytics_query_log;