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Alireza Vaezi ff7cb2c8f3 Add comprehensive tests for camera streaming, time synchronization, and auto-recording functionality

- Implemented test script for camera streaming functionality, covering API endpoints and concurrent recording.
- Created time verification script to check system time synchronization against multiple APIs.
- Developed timezone utility tests to validate timezone functions and logging.
- Added integration tests for system components, including configuration, camera discovery, and API endpoints.
- Enhanced MQTT logging and API endpoint tests for machine and MQTT status.
- Established auto-recording tests to simulate state changes and verify automatic recording behavior.
- Created simple tests for auto-recording configuration and API model validation.

2025-07-29 11:15:10 -04:00

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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.

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