- Sync updates for provider services (AlphaVantage, Finnhub, YFinance, Tushare)
- Update Frontend components and pages for recent config changes
- Update API Gateway and Registry
- Include design docs and tasks status
- Expose API Gateway port 4000 in docker-compose for local dev
- Enable dynamic API_GATEWAY_URL in Next.js config
- Add 64K context hard limit in report-generator to avoid LLM errors
- Add backend API readiness report
- 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).
- 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
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.
- Fix Dockerfile stub builds; compile full sources (no empty binaries)
- Add ca-certificates and curl in runtime images for TLS/healthchecks
- Enable RUST_LOG and RUST_BACKTRACE for all providers
- Add HTTP /health healthchecks in docker-compose for ports 8000-8004
- Standardize Tushare /health to structured HealthStatus JSON
- Enforce strict config validation (FINNHUB_API_KEY, TUSHARE_API_TOKEN)
- Map provider API keys via .env in docker-compose
- Log provider_services at API Gateway startup for diagnostics
Outcome: provider containers no longer exit silently; missing keys fail fast with explicit errors; health and logs are consistent across modules.
