427776b863
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.
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| .cargo | ||
| .sqlx | ||
| assets | ||
| src | ||
| tests | ||
| Cargo.lock | ||
| Cargo.toml | ||
| Dockerfile | ||
| env.sample | ||
| README.md | ||
数据持久化服务 (Data Persistence Service)
本服务是“基本面分析”微服务架构中数据库的唯一所有者，为所有数据持久化需求提供一个 RESTful API。
概览
- 语言: Rust
- 框架: Axum
- 数据库: PostgreSQL (带有 TimescaleDB 扩展)
- 核心任务: 为数据库提供一个稳定、高性能且类型安全的 API 层。
本地开发指南
1. 先决条件
- Rust 工具链 (
rustup) sqlx-cli(cargo install sqlx-cli)- 一个正在运行的、并已启用 TimescaleDB 扩展的 PostgreSQL 实例。
2. 配置
将 env.sample 文件复制为 .env，并根据您的本地环境配置 DATABASE_URL。
cp env.sample .env
您的 .env 文件应如下所示：
# 服务监听的端口
PORT=3000
# 用于 sqlx 连接数据库的 URL
# 请确保用户、密码、主机、端口和数据库名称都正确无误
DATABASE_URL=postgres://user:password@localhost:5432/fundamental_analysis
3. 数据库迁移
在首次运行本服务之前，或在任何数据库结构变更之后，请运行迁移命令以更新数据库：
sqlx migrate run
4. 运行服务
编译并运行本服务：
cargo run
服务将会启动并在您 .env 文件中指定的端口（默认为 3000）上监听。服务的 OpenAPI 规范 (Swagger JSON) 将在 /api-docs/openapi.json 路径下可用。
测试
要运行所有测试（包括数据库集成测试和 API 集成测试），请使用以下命令。请确保您的 .env 文件中的 DATABASE_URL 指向一个有效的、已应用迁移的测试数据库。
cargo test
如果需要查看详细的测试输出，可以使用：
cargo test -- --nocapture