Files

salirezav 44c8c3f6dd Update environment configuration and enhance user management features

- Changed VITE_SUPABASE_URL in .env.example for deployment consistency.
- Added new user management functionality to reset user passwords in UserManagement component.
- Updated supabase.ts to include first and last name fields in user profiles and added password reset functionality.
- Enhanced DashboardLayout to include a user profile view and improved user display in TopNavbar.
- Updated seed.sql to create additional users with roles for testing purposes.

2025-09-22 11:20:15 -04:00

examples

Chore: rename api->camera-management-api and web->management-dashboard-web-app; update compose, ignore, README references

2025-08-07 22:07:25 -04:00

guides

Update environment configuration and enhance user management features

2025-09-22 11:20:15 -04:00

references

Update environment configuration and enhance user management features

2025-09-22 11:20:15 -04:00

README.md

Chore: rename api->camera-management-api and web->management-dashboard-web-app; update compose, ignore, README references

2025-08-07 22:07:25 -04:00

README.md

AI Agent Resources

This directory contains resources specifically designed to help AI agents understand and work with the USDA Vision Camera System.

Directory Structure

`/guides/`

Contains comprehensive guides for AI agents:

AI_AGENT_INSTRUCTIONS.md - Specific instructions for AI agents working with this system
AI_INTEGRATION_GUIDE.md - Guide for integrating AI capabilities with the camera system

`/examples/`

Contains practical examples and demonstrations:

demos/ - Python demo scripts showing various system capabilities
notebooks/ - Jupyter notebooks with interactive examples and tests

`/references/`

Contains API references and technical specifications:

api-endpoints.http - HTTP API endpoint examples
api-tests.http - API testing examples
streaming-api.http - Streaming API examples
camera-api.types.ts - TypeScript type definitions for the camera API

Key Learning Resources

System Architecture: Review the main system structure in /usda_vision_system/
Configuration: Study config.json for system configuration options
API Documentation: Check /docs/api/ for API specifications
Feature Guides: Review /docs/features/ for feature-specific documentation
Test Examples: Examine /tests/ for comprehensive test coverage

Quick Start for AI Agents

Read guides/AI_AGENT_INSTRUCTIONS.md first
Review the demo scripts in examples/demos/
Study the API references in references/
Examine test files to understand expected behavior
Check configuration options in the root config.json

System Overview

The USDA Vision Camera System is a multi-camera monitoring and recording system with:

Real-time camera streaming
MQTT-based automation
Auto-recording capabilities
RESTful API interface
Web-based camera preview
Comprehensive logging and monitoring

For detailed system documentation, see the /docs/ directory.