Refactor architecture documentation and enhance security features
- 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.
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---
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title: '03 — Architecture Scope'
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description: 'Key areas encompassed by the architecture.'
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status: draft
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---
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# Architecture Scope
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The architecture encompasses the following key areas:
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1. **Data Ingestion**: Mechanisms for collecting and processing data from various sources.
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2. **Data Storage**: Solutions for storing and managing historical and real-time data.
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3. **Simulation Engine**: Core algorithms and models for scenario analysis.
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3.1. **Modeling Framework**: Tools for defining and managing simulation models.
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3.2. **Parameter Management**: Systems for handling input parameters and configurations.
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3.3. **Execution Engine**: Infrastructure for running simulations and processing results.
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3.4. **Result Storage**: Systems for storing simulation outputs for analysis and reporting.
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4. **Financial Reporting**: Tools for generating reports and visualizations based on simulation outcomes.
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5. **Risk Assessment**: Frameworks for identifying and evaluating potential project risks.
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6. **Profitability Analysis**: Modules for calculating and analyzing project profitability metrics.
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7. **User Interface**: Design and implementation of the user-facing components of the system.
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8. **Security and Compliance**: Measures to ensure data security and regulatory compliance.
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9. **Scalability and Performance**: Strategies for ensuring the system can handle increasing data volumes and user loads.
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10. **Integration Points**: Interfaces for integrating with external systems and services.
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11. **Monitoring and Logging**: Systems for tracking system performance and user activity.
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12. **Maintenance and Support**: Processes for ongoing system maintenance and user support.
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