Skip to content

Decision Analysis and Decision Management - DADM is an integrated platform that combines Business Process Management (BPM), Artificial Intelligence, and Graph Database technologies to provide robust decision analysis and decision management capabilities.

Notifications You must be signed in to change notification settings

laserpointlabs/dadms

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

DADMS 2.0 Documentation

Welcome to the DADMS 2.0 documentation. This directory contains all project documentation organized by category.

📁 Documentation Structure

🏗️ Architecture

  • System Architecture: Service architecture, data models, and design patterns
  • System architecture diagrams
  • Service dependency maps
  • Data flow documentation
  • Technology stack decisions

📋 Specifications

🛠️ Development

🌐 API Documentation

  • API Overview: Service APIs, authentication, and integration guides
  • Project Service API: ✅ OPERATIONAL - Complete project lifecycle management API with React UI integration
  • Agent Assistance Service API: 📋 SPECIFICATION - Comprehensive proactive intelligent assistant API with real-time context awareness, natural language interaction, and action execution
  • Model Manager API: Comprehensive model registry API documentation
  • Simulation Manager API: Comprehensive simulation execution and orchestration API
  • Analysis Manager API: Comprehensive intelligent analysis and decision-support API
  • Parameter Manager API: Comprehensive parameter lifecycle management and validation API
  • Requirements Extractor & Conceptualizer API: Comprehensive intelligent requirements extraction and conceptual modeling API
  • Memory Manager API: Comprehensive memory management with categorization, lifecycle intelligence, and semantic retrieval API
  • Ontology Workspace API: Comprehensive visual, collaborative environment for ontology authoring, editing, and validation API
  • Task Orchestrator API: Comprehensive workflow orchestration and task management API for the EDS ecosystem
  • Decision Analytics API: Comprehensive decision intelligence engine for decision space analysis, impact assessment, and performance scoring
  • Error Manager API: Comprehensive intelligent error detection, analysis, and autonomous correction API with deep AAS integration
  • Service endpoint documentation (OpenAPI specifications)
  • Request/response schemas and examples
  • Authentication and authorization guides
  • Integration examples and SDK usage
  • Postman collections

🚀 Deployment

  • Release Process: CI/CD, testing, and release management
  • Infrastructure Guide: Docker, Kubernetes, monitoring, and operational procedures
  • Environment configuration
  • Docker and Kubernetes manifests
  • Monitoring and observability setup
  • Backup and disaster recovery

📚 User Documentation

  • User guides and tutorials
  • Feature documentation
  • FAQ and troubleshooting
  • Video tutorials and demos

🔍 Quick Navigation

Getting Started

  1. Setup Guide - Environment setup
  2. Week 1 Plan - Start development
  3. MVP Specification - Understand the architecture

For Developers

For Architects

📖 Documentation Standards

Writing Guidelines

  • Use clear, concise language
  • Include code examples where relevant
  • Maintain consistent formatting with Prettier
  • Update docs with code changes
  • Use proper markdown structure

File Naming Convention

docs/
├── category/
│   ├── TITLE_IN_CAPS.md          # Major documents
│   ├── lowercase-with-dashes.md  # Supporting documents
│   └── service-name-api.md       # Service-specific docs

Documentation Review Process

  1. Create documentation alongside code changes
  2. Include documentation updates in pull requests
  3. Review for accuracy and clarity
  4. Update navigation and links
  5. Validate external references

🔄 Maintenance

Regular Updates

  • Review and update quarterly
  • Validate all links and references
  • Update screenshots and examples
  • Archive outdated documentation
  • Maintain accuracy with codebase changes

Contributing to Documentation

  1. Follow the established structure
  2. Use consistent formatting and style
  3. Include relevant examples and diagrams
  4. Test all code examples
  5. Update the main README and navigation

Current Status: 📍 Week 1 Foundation Development
Last Updated: July 15, 2025
Version: 2.0.0-alpha.1

About

Decision Analysis and Decision Management - DADM is an integrated platform that combines Business Process Management (BPM), Artificial Intelligence, and Graph Database technologies to provide robust decision analysis and decision management capabilities.

Resources

Stars

Watchers

Forks

Packages

No packages published