Commit Graph
7 Commits
Author SHA1 Message Date
zhanghongyu_0626 2b4eaa9725 feat(nav): Implement historical NAV tracking and enhance product API
- Added `list_nav_history` method in `CoreReadOnlyRepository` to retrieve historical NAV data for products over a specified number of days.
- Introduced `get_nav_history` endpoint in `product_service` to return historical NAV sequences, improving product data accessibility.
- Updated `products.py` to include new API endpoint for fetching NAV history, ensuring compliance with access control.
- Enhanced `ready.py` to include a health check for the new functionality, ensuring system readiness.
- Updated documentation to reflect the new testing baseline of 833 passed tests, indicating improved stability and functionality across the application.

This update significantly enhances the product API by providing access to historical NAV data, improving user insights into product performance.
2026-09-11 20:47:18 +08:00
zhanghongyu_0626 f5928cf337 feat(course): Add JinRong architecture governance course materials
- Introduced a new course section on architecture governance, including modules on ADR (Architecture Decision Record) and invariants.
- Created multiple HTML modules detailing architecture principles, decision-making processes, and compliance mechanisms.
- Implemented interactive elements such as quizzes and flow animations to enhance user engagement and learning experience.
- Added supporting files including styles, scripts, and base templates to ensure a cohesive design and functionality across the course materials.

This update significantly enriches the educational content available for architecture governance, providing a structured approach to understanding key concepts and practices.
2026-09-11 17:54:14 +08:00
zhanghongyu_0626 793c0307f8 feat(risk): Enhance risk management functionality and access control
- Updated `RiskListAccess` and `ThresholdWriteAccess` to enforce access control in the risk repository and threshold repository, ensuring only authorized roles can perform sensitive operations.
- Introduced new methods in `RiskRepository` for counting pending alerts and listing alerts with access checks, improving data security and compliance.
- Enhanced the `chat.py` and `deps.py` files to integrate compliance roles into the risk management matrix, allowing for more granular access control.
- Updated documentation to reflect the new testing baseline of 825 passed tests, indicating improved stability and functionality across the application.

This update significantly strengthens the risk management capabilities, ensuring robust access control and compliance with organizational policies.
2026-09-11 17:07:22 +08:00
zhanghongyu_0626 9d4d4aaa6d feat(chat): Enhance session management with new API endpoints and filtering options
- Added `status` query parameter to `list_sessions_api` for filtering sessions by their status (active/closed).
- Introduced `close_all_sessions_api` endpoint to allow users to close all active sessions for the current actor.
- Updated `SessionRepository` to support status filtering in session listing and implemented logic for closing active sessions.
- Improved Redis connection settings for better performance and reliability.

This update enhances the chat functionality by providing more control over session management, improving user experience and system efficiency.
2026-09-10 22:30:07 +08:00
zhanghongyu_0626 21ced4d38f feat(report): Add battery report generation and update course documentation
- Introduced `battery_report.json` for local data analysis, excluding it from the database.
- Enhanced `AGENTS.md` to reflect updated test baseline with 795 passed tests.
- Added new metrics for trade flow in `dict_service.py`, improving transaction data analysis.
- Updated regex patterns in `guardrail.py` to better handle numeric extraction and prevent misinterpretation of tokens.
- Expanded course modules with new content on FR-8/9/10 capabilities and L3 role management.
- Improved concurrency handling in transaction processing to ensure accurate alert generation.

This update enhances data analysis capabilities and improves the overall structure and clarity of course materials.
2026-09-10 14:32:25 +08:00
zhanghongyu_0626 4b8e11c9bd feat(threshold): Implement customer loss threshold configuration and notification system
- Added `ThresholdRepository` for managing customer loss threshold configurations and notifications.
- Introduced `threshold_service` to handle loss threshold alerts based on customer portfolio performance.
- Enhanced `customer_prompts` to include new intent for querying product net values.
- Updated `customer_service` to integrate new threshold alert functionality into existing workflows.
- Implemented `sanitize_postprocess` for improved compliance handling in customer interactions.
- Enhanced course documentation to reflect updates in advisor training modules and interactive elements.

This update significantly improves the customer experience by providing proactive loss threshold notifications and enhancing the overall service framework.
2026-09-10 10:57:40 +08:00
zhanghongyu_0626 6f222f1c56 feat(course): Add course assembly script and module structure for advisor training
- Introduced `build_all.py` script to automate the assembly of course modules into a single `index.html` file.
- Created `index.html` for the main course overview, featuring a structured layout and navigation for various modules.
- Developed `_base.html` and `_footer.html` templates for the advisor module, ensuring consistent styling and structure.
- Added `build.sh` script for individual module assembly, enhancing modularity and ease of updates.
- Implemented multiple module HTML files detailing specific training scenarios and functionalities for advisors, including interactive elements and quizzes.

This update significantly enhances the course delivery framework, providing a comprehensive and interactive learning experience for advisors.
2026-09-09 23:22:59 +08:00