- **Common Contracts**: Updated DTOs and models to support workflow history; removed legacy analysis result DTOs.
- **Data Persistence Service**:
- Removed `analysis_results` table logic and API endpoints.
- Implemented `workflow_history` API and DB access (`history.rs`).
- Fixed compilation errors and updated tests.
- Exposed Postgres port in `docker-compose.yml` for easier debugging/offline checks.
- **API Gateway**:
- Implemented `history` endpoints (get history list, get by ID).
- Removed legacy `analysis-results` endpoints.
- Fixed routing and handler logic in `api.rs`.
- **Report Generator Service**:
- Removed dependency on legacy `analysis-results` persistence calls.
- Fixed compilation errors.
- **Workflow Orchestrator**: Fixed warnings and minor logic issues.
- **Providers**: Updated provider services (alphavantage, tushare, finnhub, yfinance, mock) to align with contract changes.
- **Frontend**:
- Updated `ReportPage` and stores to use new workflow history.
- Added `RecentReportsDropdown` component.
- Cleaned up `RealtimeLogs` component.
- **Documentation**: Moved completed design tasks to `completed/` and added refactoring context docs.
Confirmed all services pass `cargo check`.
- 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).
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.
