zwitschi
ef4fb7dcf0
- Updated architecture constraints documentation to include detailed sections on technical, organizational, regulatory, environmental, and performance constraints. - Created separate markdown files for each type of constraint for better organization and clarity. - Revised the architecture scope section to provide a clearer overview of the system's key areas. - Enhanced the solution strategy documentation with detailed explanations of the client-server architecture, technology choices, trade-offs, and future considerations. - Added comprehensive descriptions of backend and frontend components, middleware, and utilities in the architecture documentation. - Migrated UI, templates, and styling notes to a dedicated section for better structure. - Updated requirements.txt to include missing dependencies. - Refactored user authentication logic in the users.py and security.py files to improve code organization and maintainability, including the integration of OAuth2 password bearer token handling.
1.6 KiB
1.6 KiB
title, description, status
| title | description | status |
|---|---|---|
| 03 — Architecture Scope | Key areas encompassed by the architecture. | draft |
Architecture Scope
The architecture encompasses the following key areas:
- Data Ingestion: Mechanisms for collecting and processing data from various sources.
- Data Storage: Solutions for storing and managing historical and real-time data.
- Simulation Engine: Core algorithms and models for scenario analysis. 3.1. Modeling Framework: Tools for defining and managing simulation models. 3.2. Parameter Management: Systems for handling input parameters and configurations. 3.3. Execution Engine: Infrastructure for running simulations and processing results. 3.4. Result Storage: Systems for storing simulation outputs for analysis and reporting.
- Financial Reporting: Tools for generating reports and visualizations based on simulation outcomes.
- Risk Assessment: Frameworks for identifying and evaluating potential project risks.
- Profitability Analysis: Modules for calculating and analyzing project profitability metrics.
- User Interface: Design and implementation of the user-facing components of the system.
- Security and Compliance: Measures to ensure data security and regulatory compliance.
- Scalability and Performance: Strategies for ensuring the system can handle increasing data volumes and user loads.
- Integration Points: Interfaces for integrating with external systems and services.
- Monitoring and Logging: Systems for tracking system performance and user activity.
- Maintenance and Support: Processes for ongoing system maintenance and user support.