Commit Graph

5 Commits

Author SHA1 Message Date
Lv, Qi
0cb31e363e Refactor E2E tests and improve error handling in Orchestrator
- Fix `simple_test_analysis` template in E2E test setup to align with Orchestrator's data fetch logic.
- Implement and verify additional E2E scenarios:
    - Scenario C: Partial Provider Failure (verified error propagation fix in Orchestrator).
    - Scenario D: Invalid Symbol input.
    - Scenario E: Analysis Module failure.
- Update `WorkflowStateMachine::handle_report_failed` to correctly scope error broadcasting to the specific task instead of failing effectively silently or broadly.
- Update testing strategy documentation to reflect completed Phase 4 testing.
- Skip Scenario B (Orchestrator Restart) as persistence is not yet implemented (decision made to defer persistence).
2025-11-21 20:44:32 +08:00
Lv, Qi
d28f3c5266 feat: update analysis workflow and fix LLM client connection issues
- Enhance LlmClient to handle malformed URLs and HTML error responses
- Improve logging in report-generator-service worker
- Update frontend API routes and hooks for analysis
- Update various service configurations and persistence logic
2025-11-19 17:30:52 +08:00
Lv, Qi
427776b863 feat(analysis): Implement Configurable Analysis Template Engine
This commit introduces a comprehensive, template-based analysis orchestration system, refactoring the entire analysis generation workflow from the ground up.

Key Changes:

1.  **Backend Architecture (`report-generator-service`):**
    *   Replaced the naive analysis workflow with a robust orchestrator based on a Directed Acyclic Graph (DAG) of module dependencies.
    *   Implemented a full topological sort (`petgraph`) to determine the correct execution order and detect circular dependencies.

2.  **Data Models (`common-contracts`, `data-persistence-service`):**
    *   Introduced the concept of `AnalysisTemplateSets` to allow for multiple, independent, and configurable analysis workflows.
    *   Created a new `analysis_results` table to persist the output of each module for every analysis run, ensuring traceability.
    *   Implemented a file-free data seeding mechanism to populate default analysis templates on service startup.

3.  **API Layer (`api-gateway`):**
    *   Added a new asynchronous endpoint (`POST /analysis-requests/{symbol}`) to trigger analysis workflows via NATS messages.
    *   Updated all configuration endpoints to support the new `AnalysisTemplateSets` model.

4.  **Frontend UI (`/config`, `/query`):**
    *   Completely refactored the "Analysis Config" page into a two-level management UI for "Template Sets" and the "Modules" within them, supporting full CRUD operations.
    *   Updated the "Query" page to allow users to select which analysis template to use when generating a report.

This new architecture provides a powerful, flexible, and robust foundation for all future development of our intelligent analysis capabilities.
2025-11-18 07:47:08 +08:00
Lv, Qi
60e6c8f61b feat(config): 将服务配置全面迁移至数据库
本次提交完成了一项重要的架构重构,将所有外部服务的API凭证管理从环境变量迁移到了中心化的数据库配置中。

主要变更:

1.  **统一配置源**:
    -   `data-persistence-service` 现已提供 `/api/v1/configs/data_sources` 端点,用于统一管理数据源配置。
    -   所有配置(LLM 和数据源)现在都通过数据库的 `system_config` 表进行管理,实现了“单一事实源”。

2.  **增强服务韧性**:
    -   重构了 `finnhub-`, `tushare-`, `alphavantage-provider-service`。
    -   这些服务在启动时不再强制要求 API Key。
    -   引入了动态配置轮询器 (`config_poller`),服务现在可以定期从数据库获取最新配置。
    -   实现了“降级模式”:当配置缺失时,服务会进入 `Degraded` 状态并暂停处理消息,而不是直接崩溃。配置恢复后,服务会自动回到 `Active` 状态。
    -   `/health` 端点现在能准确反映服务的真实运行状态。

3.  **前端易用性提升**:
    -   您在 `/config` 页面上增加了“数据源配置”面板,允许用户通过 UI 动态更新所有 API Token。

4.  **部署简化**:
    -   从 `docker-compose.yml` 中移除了所有已废弃的 `_API_KEY` 环境变量,消除了启动时的警告。

这项重构显著提升了系统的可维护性、健壮性和用户体验,为未来的功能扩展奠定了坚实的基础。
2025-11-18 05:58:18 +08:00
Lv, Qi
45ec5bb16d reorg docs 2025-11-17 00:58:43 +08:00