feat: Integrate auto-recording feature into USDA Vision Camera System

- Added instructions for implementing auto-recording functionality in the React app.
- Updated TypeScript interfaces to include new fields for auto-recording status and configuration.
- Created new API endpoints for enabling/disabling auto-recording and retrieving system status.
- Enhanced UI components to display auto-recording status, controls, and error handling.
- Developed a comprehensive Auto-Recording Feature Implementation Guide.
- Implemented a test script for validating auto-recording functionality, including configuration checks and API connectivity.
- Introduced AutoRecordingManager to manage automatic recording based on machine state changes with retry logic.
- Established a retry mechanism for failed recording attempts and integrated status tracking for auto-recording.
This commit is contained in:
Alireza Vaezi
2025-07-29 09:43:14 -04:00
parent 0a26a8046e
commit 0c92b6c277
18 changed files with 1543 additions and 91 deletions

175
AI_AGENT_INSTRUCTIONS.md Normal file
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@@ -0,0 +1,175 @@
# Instructions for AI Agent: Auto-Recording Feature Integration
## 🎯 Task Overview
Update the React application to support the new auto-recording feature that has been added to the USDA Vision Camera System backend.
## 📋 What You Need to Know
### System Context
- **Camera 1** monitors the **vibratory conveyor** (conveyor/cracker cam)
- **Camera 2** monitors the **blower separator** machine
- Auto-recording automatically starts when machines turn ON and stops when they turn OFF
- The system includes retry logic for failed recording attempts
- Manual recording always takes precedence over auto-recording
### New Backend Capabilities
The backend now supports:
1. **Automatic recording** triggered by MQTT machine state changes
2. **Retry mechanism** for failed recording attempts (configurable retries and delays)
3. **Status tracking** for auto-recording state, failures, and attempts
4. **API endpoints** for enabling/disabling and monitoring auto-recording
## 🔧 Required React App Changes
### 1. Update TypeScript Interfaces
Add these new fields to existing `CameraStatusResponse`:
```typescript
interface CameraStatusResponse {
// ... existing fields
auto_recording_enabled: boolean;
auto_recording_active: boolean;
auto_recording_failure_count: number;
auto_recording_last_attempt?: string;
auto_recording_last_error?: string;
}
```
Add new response types:
```typescript
interface AutoRecordingConfigResponse {
success: boolean;
message: string;
camera_name: string;
enabled: boolean;
}
interface AutoRecordingStatusResponse {
running: boolean;
auto_recording_enabled: boolean;
retry_queue: Record<string, any>;
enabled_cameras: string[];
}
```
### 2. Add New API Endpoints
```typescript
// Enable auto-recording for a camera
POST /cameras/{camera_name}/auto-recording/enable
// Disable auto-recording for a camera
POST /cameras/{camera_name}/auto-recording/disable
// Get overall auto-recording system status
GET /auto-recording/status
```
### 3. UI Components to Add/Update
#### Camera Status Display
- Add auto-recording status badge/indicator
- Show auto-recording enabled/disabled state
- Display failure count if > 0
- Show last error message if any
- Distinguish between manual and auto-recording states
#### Auto-Recording Controls
- Toggle switch to enable/disable auto-recording per camera
- System-wide auto-recording status display
- Retry queue information
- Machine state correlation display
#### Error Handling
- Clear display of auto-recording failures
- Retry attempt information
- Last attempt timestamp
- Quick retry/reset actions
### 4. Visual Design Guidelines
**Status Priority (highest to lowest):**
1. Manual Recording (red/prominent) - user initiated
2. Auto-Recording Active (green) - machine ON, recording
3. Auto-Recording Enabled (blue) - ready but machine OFF
4. Auto-Recording Disabled (gray) - feature disabled
**Machine Correlation:**
- Show machine name next to camera (e.g., "Vibratory Conveyor", "Blower Separator")
- Display machine ON/OFF status
- Alert if machine is ON but auto-recording failed
## 🎨 Specific Implementation Tasks
### Task 1: Update Camera Cards
- Add auto-recording status indicators
- Add enable/disable toggle controls
- Show machine state correlation
- Display failure information when relevant
### Task 2: Create Auto-Recording Dashboard
- Overall system status
- List of enabled cameras
- Active retry queue display
- Recent events/errors
### Task 3: Update Recording Status Logic
- Distinguish between manual and auto-recording
- Show appropriate controls based on recording type
- Handle manual override scenarios
### Task 4: Add Error Handling
- Display auto-recording failures clearly
- Show retry attempts and timing
- Provide manual retry options
## 📱 User Experience Requirements
### Key Behaviors
1. **Non-Intrusive:** Auto-recording status shouldn't clutter the main interface
2. **Clear Hierarchy:** Manual controls should be more prominent than auto-recording
3. **Informative:** Users should understand why recording started/stopped
4. **Actionable:** Clear options to enable/disable or retry failed attempts
### Mobile Considerations
- Auto-recording controls should work well on mobile
- Status information should be readable on small screens
- Consider collapsible sections for detailed information
## 🔍 Testing Requirements
Ensure the React app correctly handles:
- [ ] Toggling auto-recording on/off per camera
- [ ] Displaying real-time status updates
- [ ] Showing error states and retry information
- [ ] Manual recording override scenarios
- [ ] Machine state changes and correlation
- [ ] Mobile interface functionality
## 📚 Reference Files
Key files to review for implementation details:
- `AUTO_RECORDING_FEATURE_GUIDE.md` - Comprehensive technical details
- `api-endpoints.http` - API endpoint documentation
- `config.json` - Configuration structure
- `usda_vision_system/api/models.py` - Response type definitions
## 🎯 Success Criteria
The React app should:
1. **Display** auto-recording status for each camera clearly
2. **Allow** users to enable/disable auto-recording per camera
3. **Show** machine state correlation and recording triggers
4. **Handle** error states and retry scenarios gracefully
5. **Maintain** existing manual recording functionality
6. **Provide** clear visual hierarchy between manual and auto-recording
## 💡 Implementation Tips
1. **Start Small:** Begin with basic status display, then add controls
2. **Use Existing Patterns:** Follow the current app's design patterns
3. **Test Incrementally:** Test each feature as you add it
4. **Consider State Management:** Update your state management to handle new data
5. **Mobile First:** Ensure mobile usability from the start
The goal is to seamlessly integrate auto-recording capabilities while maintaining the existing user experience and adding valuable automation features for the camera operators.

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# Auto-Recording Feature Implementation Guide
## 🎯 Overview for React App Development
This document provides a comprehensive guide for updating the React application to support the new auto-recording feature that was added to the USDA Vision Camera System.
## 📋 What Changed in the Backend
### New API Endpoints Added
1. **Enable Auto-Recording**
```http
POST /cameras/{camera_name}/auto-recording/enable
Response: AutoRecordingConfigResponse
```
2. **Disable Auto-Recording**
```http
POST /cameras/{camera_name}/auto-recording/disable
Response: AutoRecordingConfigResponse
```
3. **Get Auto-Recording Status**
```http
GET /auto-recording/status
Response: AutoRecordingStatusResponse
```
### Updated API Responses
#### CameraStatusResponse (Updated)
```typescript
interface CameraStatusResponse {
name: string;
status: string;
is_recording: boolean;
last_checked: string;
last_error?: string;
device_info?: any;
current_recording_file?: string;
recording_start_time?: string;
// NEW AUTO-RECORDING FIELDS
auto_recording_enabled: boolean;
auto_recording_active: boolean;
auto_recording_failure_count: number;
auto_recording_last_attempt?: string;
auto_recording_last_error?: string;
}
```
#### CameraConfigResponse (Updated)
```typescript
interface CameraConfigResponse {
name: string;
machine_topic: string;
storage_path: string;
enabled: boolean;
// NEW AUTO-RECORDING CONFIG FIELDS
auto_start_recording_enabled: boolean;
auto_recording_max_retries: number;
auto_recording_retry_delay_seconds: number;
// ... existing fields (exposure_ms, gain, etc.)
}
```
#### New Response Types
```typescript
interface AutoRecordingConfigResponse {
success: boolean;
message: string;
camera_name: string;
enabled: boolean;
}
interface AutoRecordingStatusResponse {
running: boolean;
auto_recording_enabled: boolean;
retry_queue: Record<string, any>;
enabled_cameras: string[];
}
```
## 🎨 React App UI Requirements
### 1. Camera Status Display Updates
**Add to Camera Cards/Components:**
- Auto-recording enabled/disabled indicator
- Auto-recording active status (when machine is ON and auto-recording)
- Failure count display (if > 0)
- Last auto-recording error (if any)
- Visual distinction between manual and auto-recording
**Example UI Elements:**
```jsx
// Auto-recording status badge
{camera.auto_recording_enabled && (
<Badge variant={camera.auto_recording_active ? "success" : "secondary"}>
Auto-Recording {camera.auto_recording_active ? "Active" : "Enabled"}
</Badge>
)}
// Failure indicator
{camera.auto_recording_failure_count > 0 && (
<Alert variant="warning">
Auto-recording failures: {camera.auto_recording_failure_count}
</Alert>
)}
```
### 2. Auto-Recording Controls
**Add Toggle Controls:**
- Enable/Disable auto-recording per camera
- Global auto-recording status display
- Retry queue monitoring
**Example Control Component:**
```jsx
const AutoRecordingToggle = ({ camera, onToggle }) => {
const handleToggle = async () => {
const endpoint = camera.auto_recording_enabled ? 'disable' : 'enable';
await fetch(`/cameras/${camera.name}/auto-recording/${endpoint}`, {
method: 'POST'
});
onToggle();
};
return (
<Switch
checked={camera.auto_recording_enabled}
onChange={handleToggle}
label="Auto-Recording"
/>
);
};
```
### 3. Machine State Integration
**Display Machine Status:**
- Show which machine each camera monitors
- Display current machine state (ON/OFF)
- Show correlation between machine state and recording status
**Camera-Machine Mapping:**
- Camera 1 → Vibratory Conveyor (conveyor/cracker cam)
- Camera 2 → Blower Separator (blower separator)
### 4. Auto-Recording Dashboard
**Create New Dashboard Section:**
- Overall auto-recording system status
- List of cameras with auto-recording enabled
- Active retry queue display
- Recent auto-recording events/logs
## 🔧 Implementation Steps for React App
### Step 1: Update TypeScript Interfaces
```typescript
// Update existing interfaces in your types file
// Add new interfaces for auto-recording responses
```
### Step 2: Update API Service Functions
```typescript
// Add new API calls
export const enableAutoRecording = (cameraName: string) =>
fetch(`/cameras/${cameraName}/auto-recording/enable`, { method: 'POST' });
export const disableAutoRecording = (cameraName: string) =>
fetch(`/cameras/${cameraName}/auto-recording/disable`, { method: 'POST' });
export const getAutoRecordingStatus = () =>
fetch('/auto-recording/status').then(res => res.json());
```
### Step 3: Update Camera Components
- Add auto-recording status indicators
- Add enable/disable controls
- Update recording status display to distinguish auto vs manual
### Step 4: Create Auto-Recording Management Panel
- System-wide auto-recording status
- Per-camera auto-recording controls
- Retry queue monitoring
- Error reporting and alerts
### Step 5: Update State Management
```typescript
// Add auto-recording state to your store/context
interface AppState {
cameras: CameraStatusResponse[];
autoRecordingStatus: AutoRecordingStatusResponse;
// ... existing state
}
```
## 🎯 Key User Experience Considerations
### Visual Indicators
1. **Recording Status Hierarchy:**
- Manual Recording (highest priority - red/prominent)
- Auto-Recording Active (green/secondary)
- Auto-Recording Enabled but Inactive (blue/subtle)
- Auto-Recording Disabled (gray/muted)
2. **Machine State Correlation:**
- Show machine ON/OFF status next to camera
- Indicate when auto-recording should be active
- Alert if machine is ON but auto-recording failed
3. **Error Handling:**
- Clear error messages for auto-recording failures
- Retry count display
- Last attempt timestamp
- Quick retry/reset options
### User Controls
1. **Quick Actions:**
- Toggle auto-recording per camera
- Force retry failed auto-recording
- Override auto-recording (manual control)
2. **Configuration:**
- Adjust retry settings
- Change machine-camera mappings
- Set recording parameters for auto-recording
## 🚨 Important Notes
### Behavior Rules
1. **Manual Override:** Manual recording always takes precedence over auto-recording
2. **Non-Blocking:** Auto-recording status checks don't interfere with camera operation
3. **Machine Correlation:** Auto-recording only activates when the associated machine turns ON
4. **Failure Handling:** Failed auto-recording attempts are retried automatically with exponential backoff
### API Polling Recommendations
- Poll camera status every 2-3 seconds for real-time updates
- Poll auto-recording status every 5-10 seconds
- Use WebSocket connections if available for real-time machine state updates
## 📱 Mobile Considerations
- Auto-recording controls should be easily accessible on mobile
- Status indicators should be clear and readable on small screens
- Consider collapsible sections for detailed auto-recording information
## 🔍 Testing Checklist
- [ ] Auto-recording toggle works for each camera
- [ ] Status updates reflect machine state changes
- [ ] Error states are clearly displayed
- [ ] Manual recording overrides auto-recording
- [ ] Retry mechanism is visible to users
- [ ] Mobile interface is functional
This guide provides everything needed to update the React app to fully support the new auto-recording feature!

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@@ -291,6 +291,48 @@ POST http://localhost:8000/cameras/camera2/stop-recording
# "duration_seconds": 45.2
# }
###############################################################################
# AUTO-RECORDING CONTROL ENDPOINTS
###############################################################################
### Enable auto-recording for a camera
POST http://localhost:8000/cameras/camera1/auto-recording/enable
POST http://localhost:8000/cameras/camera2/auto-recording/enable
# No request body required
# Response: AutoRecordingConfigResponse
# {
# "success": true,
# "message": "Auto-recording enabled for camera1",
# "camera_name": "camera1",
# "enabled": true
# }
###
### Disable auto-recording for a camera
POST http://localhost:8000/cameras/camera1/auto-recording/disable
POST http://localhost:8000/cameras/camera2/auto-recording/disable
# No request body required
# Response: AutoRecordingConfigResponse
# {
# "success": true,
# "message": "Auto-recording disabled for camera1",
# "camera_name": "camera1",
# "enabled": false
# }
###
### Get auto-recording manager status
GET http://localhost:8000/auto-recording/status
# Response: AutoRecordingStatusResponse
# {
# "running": true,
# "auto_recording_enabled": true,
# "retry_queue": {},
# "enabled_cameras": ["camera1", "camera2"]
# }
###############################################################################
# CAMERA RECOVERY & DIAGNOSTICS ENDPOINTS
###############################################################################

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@@ -22,24 +22,28 @@
"api_host": "0.0.0.0",
"api_port": 8000,
"enable_api": true,
"timezone": "America/New_York"
"timezone": "America/New_York",
"auto_recording_enabled": true
},
"cameras": [
{
"name": "camera1",
"machine_topic": "vibratory_conveyor",
"storage_path": "/storage/camera1",
"exposure_ms": 1.0,
"gain": 3.5,
"exposure_ms": 0.5,
"gain": 0.5,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 5,
"sharpness": 100,
"contrast": 100,
"saturation": 100,
"gamma": 85,
"gamma": 110,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": false,
"auto_white_balance": true,
"color_temperature_preset": 0,
"anti_flicker_enabled": false,
"light_frequency": 1,
@@ -51,14 +55,17 @@
"name": "camera2",
"machine_topic": "blower_separator",
"storage_path": "/storage/camera2",
"exposure_ms": 1.0,
"gain": 3.5,
"exposure_ms": 0.5,
"gain": 0.3,
"target_fps": 0,
"enabled": true,
"auto_start_recording_enabled": true,
"auto_recording_max_retries": 3,
"auto_recording_retry_delay_seconds": 5,
"sharpness": 100,
"contrast": 100,
"saturation": 100,
"gamma": 100,
"saturation": 75,
"gamma": 110,
"noise_filter_enabled": false,
"denoise_3d_enabled": false,
"auto_white_balance": true,

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#!/usr/bin/env python3
"""
Simple test script for auto-recording functionality.
This script performs basic checks to verify that the auto-recording feature
is properly integrated and configured.
"""
import sys
import os
import json
import time
# Add the current directory to Python path
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
def test_config_structure():
"""Test that config.json has the required auto-recording fields"""
print("🔍 Testing configuration structure...")
try:
with open("config.json", "r") as f:
config = json.load(f)
# Check system-level auto-recording setting
system_config = config.get("system", {})
if "auto_recording_enabled" not in system_config:
print("❌ Missing 'auto_recording_enabled' in system config")
return False
print(f"✅ System auto-recording enabled: {system_config['auto_recording_enabled']}")
# Check camera-level auto-recording settings
cameras = config.get("cameras", [])
if not cameras:
print("❌ No cameras found in config")
return False
for camera in cameras:
camera_name = camera.get("name", "unknown")
required_fields = [
"auto_start_recording_enabled",
"auto_recording_max_retries",
"auto_recording_retry_delay_seconds"
]
missing_fields = [field for field in required_fields if field not in camera]
if missing_fields:
print(f"❌ Camera {camera_name} missing fields: {missing_fields}")
return False
print(f"✅ Camera {camera_name} auto-recording config:")
print(f" - Enabled: {camera['auto_start_recording_enabled']}")
print(f" - Max retries: {camera['auto_recording_max_retries']}")
print(f" - Retry delay: {camera['auto_recording_retry_delay_seconds']}s")
print(f" - Machine topic: {camera.get('machine_topic', 'unknown')}")
return True
except Exception as e:
print(f"❌ Error reading config: {e}")
return False
def test_module_imports():
"""Test that all required modules can be imported"""
print("\n🔍 Testing module imports...")
try:
from usda_vision_system.recording.auto_manager import AutoRecordingManager
print("✅ AutoRecordingManager imported successfully")
from usda_vision_system.core.config import Config
config = Config("config.json")
print("✅ Config loaded successfully")
from usda_vision_system.core.state_manager import StateManager
state_manager = StateManager()
print("✅ StateManager created successfully")
from usda_vision_system.core.events import EventSystem
event_system = EventSystem()
print("✅ EventSystem created successfully")
# Test creating AutoRecordingManager (without camera_manager for now)
auto_manager = AutoRecordingManager(config, state_manager, event_system, None)
print("✅ AutoRecordingManager created successfully")
return True
except Exception as e:
print(f"❌ Import error: {e}")
return False
def test_camera_mapping():
"""Test camera to machine topic mapping"""
print("\n🔍 Testing camera to machine mapping...")
try:
with open("config.json", "r") as f:
config = json.load(f)
cameras = config.get("cameras", [])
expected_mappings = {
"camera1": "vibratory_conveyor", # Conveyor/cracker cam
"camera2": "blower_separator" # Blower separator
}
for camera in cameras:
camera_name = camera.get("name")
machine_topic = camera.get("machine_topic")
if camera_name in expected_mappings:
expected_topic = expected_mappings[camera_name]
if machine_topic == expected_topic:
print(f"{camera_name} correctly mapped to {machine_topic}")
else:
print(f"{camera_name} mapped to {machine_topic}, expected {expected_topic}")
return False
else:
print(f"⚠️ Unknown camera: {camera_name}")
return True
except Exception as e:
print(f"❌ Error checking mappings: {e}")
return False
def test_api_models():
"""Test that API models include auto-recording fields"""
print("\n🔍 Testing API models...")
try:
from usda_vision_system.api.models import (
CameraStatusResponse,
CameraConfigResponse,
AutoRecordingConfigRequest,
AutoRecordingConfigResponse,
AutoRecordingStatusResponse
)
# Check CameraStatusResponse has auto-recording fields
camera_response = CameraStatusResponse(
name="test",
status="available",
is_recording=False,
last_checked="2024-01-01T00:00:00",
auto_recording_enabled=True,
auto_recording_active=False,
auto_recording_failure_count=0
)
print("✅ CameraStatusResponse includes auto-recording fields")
# Check CameraConfigResponse has auto-recording fields
config_response = CameraConfigResponse(
name="test",
machine_topic="test_topic",
storage_path="/test",
enabled=True,
auto_start_recording_enabled=True,
auto_recording_max_retries=3,
auto_recording_retry_delay_seconds=5,
exposure_ms=1.0,
gain=1.0,
target_fps=30.0,
sharpness=100,
contrast=100,
saturation=100,
gamma=100,
noise_filter_enabled=False,
denoise_3d_enabled=False,
auto_white_balance=True,
color_temperature_preset=0,
anti_flicker_enabled=False,
light_frequency=1,
bit_depth=8,
hdr_enabled=False,
hdr_gain_mode=0
)
print("✅ CameraConfigResponse includes auto-recording fields")
print("✅ All auto-recording API models available")
return True
except Exception as e:
print(f"❌ API model error: {e}")
return False
def main():
"""Run all basic tests"""
print("🧪 Auto-Recording Integration Test")
print("=" * 40)
tests = [
test_config_structure,
test_module_imports,
test_camera_mapping,
test_api_models
]
passed = 0
total = len(tests)
for test in tests:
try:
if test():
passed += 1
except Exception as e:
print(f"❌ Test {test.__name__} failed with exception: {e}")
print("\n" + "=" * 40)
print(f"📊 Results: {passed}/{total} tests passed")
if passed == total:
print("🎉 All integration tests passed!")
print("\n📝 Next steps:")
print("1. Start the system: python main.py")
print("2. Run full tests: python tests/test_auto_recording.py")
print("3. Test with MQTT messages to trigger auto-recording")
return True
else:
print(f"⚠️ {total - passed} test(s) failed")
print("Please fix the issues before running the full system")
return False
if __name__ == "__main__":
success = main()
sys.exit(0 if success else 1)

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@@ -0,0 +1,267 @@
#!/usr/bin/env python3
"""
Test script for auto-recording functionality.
This script tests the auto-recording feature by simulating MQTT state changes
and verifying that cameras start and stop recording automatically.
"""
import sys
import os
import time
import json
import requests
from datetime import datetime
# Add the parent directory to Python path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from usda_vision_system.core.config import Config
from usda_vision_system.core.state_manager import StateManager
from usda_vision_system.core.events import EventSystem, publish_machine_state_changed
class AutoRecordingTester:
"""Test class for auto-recording functionality"""
def __init__(self):
self.api_base_url = "http://localhost:8000"
self.config = Config("config.json")
self.state_manager = StateManager()
self.event_system = EventSystem()
# Test results
self.test_results = []
def log_test(self, test_name: str, success: bool, message: str = ""):
"""Log a test result"""
status = "✅ PASS" if success else "❌ FAIL"
timestamp = datetime.now().strftime("%H:%M:%S")
result = f"[{timestamp}] {status} {test_name}"
if message:
result += f" - {message}"
print(result)
self.test_results.append({
"test_name": test_name,
"success": success,
"message": message,
"timestamp": timestamp
})
def check_api_available(self) -> bool:
"""Check if the API server is available"""
try:
response = requests.get(f"{self.api_base_url}/cameras", timeout=5)
return response.status_code == 200
except Exception:
return False
def get_camera_status(self, camera_name: str) -> dict:
"""Get camera status from API"""
try:
response = requests.get(f"{self.api_base_url}/cameras", timeout=5)
if response.status_code == 200:
cameras = response.json()
return cameras.get(camera_name, {})
except Exception as e:
print(f"Error getting camera status: {e}")
return {}
def get_auto_recording_status(self) -> dict:
"""Get auto-recording manager status"""
try:
response = requests.get(f"{self.api_base_url}/auto-recording/status", timeout=5)
if response.status_code == 200:
return response.json()
except Exception as e:
print(f"Error getting auto-recording status: {e}")
return {}
def enable_auto_recording(self, camera_name: str) -> bool:
"""Enable auto-recording for a camera"""
try:
response = requests.post(f"{self.api_base_url}/cameras/{camera_name}/auto-recording/enable", timeout=5)
return response.status_code == 200
except Exception as e:
print(f"Error enabling auto-recording: {e}")
return False
def disable_auto_recording(self, camera_name: str) -> bool:
"""Disable auto-recording for a camera"""
try:
response = requests.post(f"{self.api_base_url}/cameras/{camera_name}/auto-recording/disable", timeout=5)
return response.status_code == 200
except Exception as e:
print(f"Error disabling auto-recording: {e}")
return False
def simulate_machine_state_change(self, machine_name: str, state: str):
"""Simulate a machine state change via event system"""
print(f"🔄 Simulating machine state change: {machine_name} -> {state}")
publish_machine_state_changed(machine_name, state, "test_script")
def test_api_connectivity(self) -> bool:
"""Test API connectivity"""
available = self.check_api_available()
self.log_test("API Connectivity", available,
"API server is reachable" if available else "API server is not reachable")
return available
def test_auto_recording_status(self) -> bool:
"""Test auto-recording status endpoint"""
status = self.get_auto_recording_status()
success = bool(status and "running" in status)
self.log_test("Auto-Recording Status API", success,
f"Status: {status}" if success else "Failed to get status")
return success
def test_camera_auto_recording_config(self) -> bool:
"""Test camera auto-recording configuration"""
success = True
# Test enabling auto-recording for camera1
enabled = self.enable_auto_recording("camera1")
if enabled:
self.log_test("Enable Auto-Recording (camera1)", True, "Successfully enabled")
else:
self.log_test("Enable Auto-Recording (camera1)", False, "Failed to enable")
success = False
# Check camera status
time.sleep(1)
camera_status = self.get_camera_status("camera1")
auto_enabled = camera_status.get("auto_recording_enabled", False)
self.log_test("Auto-Recording Status Check", auto_enabled,
f"Camera1 auto-recording enabled: {auto_enabled}")
if not auto_enabled:
success = False
return success
def test_machine_state_simulation(self) -> bool:
"""Test machine state change simulation"""
try:
# Test vibratory conveyor (camera1)
self.simulate_machine_state_change("vibratory_conveyor", "on")
time.sleep(2)
camera_status = self.get_camera_status("camera1")
is_recording = camera_status.get("is_recording", False)
auto_active = camera_status.get("auto_recording_active", False)
self.log_test("Machine ON -> Recording Start", is_recording,
f"Camera1 recording: {is_recording}, auto-active: {auto_active}")
# Test turning machine off
time.sleep(3)
self.simulate_machine_state_change("vibratory_conveyor", "off")
time.sleep(2)
camera_status = self.get_camera_status("camera1")
is_recording_after = camera_status.get("is_recording", False)
auto_active_after = camera_status.get("auto_recording_active", False)
self.log_test("Machine OFF -> Recording Stop", not is_recording_after,
f"Camera1 recording: {is_recording_after}, auto-active: {auto_active_after}")
return is_recording and not is_recording_after
except Exception as e:
self.log_test("Machine State Simulation", False, f"Error: {e}")
return False
def test_retry_mechanism(self) -> bool:
"""Test retry mechanism for failed recording attempts"""
# This test would require simulating camera failures
# For now, we'll just check if the retry queue is accessible
try:
status = self.get_auto_recording_status()
retry_queue = status.get("retry_queue", {})
self.log_test("Retry Queue Access", True,
f"Retry queue accessible, current items: {len(retry_queue)}")
return True
except Exception as e:
self.log_test("Retry Queue Access", False, f"Error: {e}")
return False
def run_all_tests(self):
"""Run all auto-recording tests"""
print("🧪 Starting Auto-Recording Tests")
print("=" * 50)
# Check if system is running
if not self.test_api_connectivity():
print("\n❌ Cannot run tests - API server is not available")
print("Please start the USDA Vision System first:")
print(" python main.py")
return False
# Run tests
tests = [
self.test_auto_recording_status,
self.test_camera_auto_recording_config,
self.test_machine_state_simulation,
self.test_retry_mechanism,
]
passed = 0
total = len(tests)
for test in tests:
try:
if test():
passed += 1
time.sleep(1) # Brief pause between tests
except Exception as e:
self.log_test(test.__name__, False, f"Exception: {e}")
# Print summary
print("\n" + "=" * 50)
print(f"📊 Test Summary: {passed}/{total} tests passed")
if passed == total:
print("🎉 All auto-recording tests passed!")
return True
else:
print(f"⚠️ {total - passed} test(s) failed")
return False
def cleanup(self):
"""Cleanup after tests"""
print("\n🧹 Cleaning up...")
# Disable auto-recording for test cameras
self.disable_auto_recording("camera1")
self.disable_auto_recording("camera2")
# Turn off machines
self.simulate_machine_state_change("vibratory_conveyor", "off")
self.simulate_machine_state_change("blower_separator", "off")
print("✅ Cleanup completed")
def main():
"""Main test function"""
tester = AutoRecordingTester()
try:
success = tester.run_all_tests()
return 0 if success else 1
except KeyboardInterrupt:
print("\n⚠️ Tests interrupted by user")
return 1
except Exception as e:
print(f"\n❌ Test execution failed: {e}")
return 1
finally:
tester.cleanup()
if __name__ == "__main__":
exit_code = main()
sys.exit(exit_code)

View File

@@ -57,6 +57,13 @@ class CameraStatusResponse(BaseModel):
current_recording_file: Optional[str] = None
recording_start_time: Optional[str] = None
# Auto-recording status
auto_recording_enabled: bool = False
auto_recording_active: bool = False
auto_recording_failure_count: int = 0
auto_recording_last_attempt: Optional[str] = None
auto_recording_last_error: Optional[str] = None
class RecordingInfoResponse(BaseModel):
"""Recording information response model"""
@@ -120,6 +127,11 @@ class CameraConfigResponse(BaseModel):
storage_path: str
enabled: bool
# Auto-recording settings
auto_start_recording_enabled: bool
auto_recording_max_retries: int
auto_recording_retry_delay_seconds: int
# Basic settings
exposure_ms: float
gain: float
@@ -173,6 +185,30 @@ class StopRecordingResponse(BaseModel):
duration_seconds: Optional[float] = None
class AutoRecordingConfigRequest(BaseModel):
"""Auto-recording configuration request model"""
enabled: bool
class AutoRecordingConfigResponse(BaseModel):
"""Auto-recording configuration response model"""
success: bool
message: str
camera_name: str
enabled: bool
class AutoRecordingStatusResponse(BaseModel):
"""Auto-recording manager status response model"""
running: bool
auto_recording_enabled: bool
retry_queue: Dict[str, Any]
enabled_cameras: List[str]
class StorageStatsResponse(BaseModel):
"""Storage statistics response model"""

View File

@@ -66,13 +66,14 @@ class WebSocketManager:
class APIServer:
"""FastAPI server for the USDA Vision Camera System"""
def __init__(self, config: Config, state_manager: StateManager, event_system: EventSystem, camera_manager, mqtt_client, storage_manager: StorageManager):
def __init__(self, config: Config, state_manager: StateManager, event_system: EventSystem, camera_manager, mqtt_client, storage_manager: StorageManager, auto_recording_manager=None):
self.config = config
self.state_manager = state_manager
self.event_system = event_system
self.camera_manager = camera_manager
self.mqtt_client = mqtt_client
self.storage_manager = storage_manager
self.auto_recording_manager = auto_recording_manager
self.logger = logging.getLogger(__name__)
# FastAPI app
@@ -162,7 +163,21 @@ class APIServer:
try:
cameras = self.state_manager.get_all_cameras()
return {
name: CameraStatusResponse(name=camera.name, status=camera.status.value, is_recording=camera.is_recording, last_checked=camera.last_checked.isoformat(), last_error=camera.last_error, device_info=camera.device_info, current_recording_file=camera.current_recording_file, recording_start_time=camera.recording_start_time.isoformat() if camera.recording_start_time else None)
name: CameraStatusResponse(
name=camera.name,
status=camera.status.value,
is_recording=camera.is_recording,
last_checked=camera.last_checked.isoformat(),
last_error=camera.last_error,
device_info=camera.device_info,
current_recording_file=camera.current_recording_file,
recording_start_time=camera.recording_start_time.isoformat() if camera.recording_start_time else None,
auto_recording_enabled=camera.auto_recording_enabled,
auto_recording_active=camera.auto_recording_active,
auto_recording_failure_count=camera.auto_recording_failure_count,
auto_recording_last_attempt=camera.auto_recording_last_attempt.isoformat() if camera.auto_recording_last_attempt else None,
auto_recording_last_error=camera.auto_recording_last_error,
)
for name, camera in cameras.items()
}
except Exception as e:
@@ -471,6 +486,74 @@ class APIServer:
self.logger.error(f"Error reinitializing camera: {e}")
raise HTTPException(status_code=500, detail=str(e))
@self.app.post("/cameras/{camera_name}/auto-recording/enable", response_model=AutoRecordingConfigResponse)
async def enable_auto_recording(camera_name: str):
"""Enable auto-recording for a camera"""
try:
if not self.auto_recording_manager:
raise HTTPException(status_code=503, detail="Auto-recording manager not available")
# Update camera configuration
camera_config = self.config.get_camera_by_name(camera_name)
if not camera_config:
raise HTTPException(status_code=404, detail=f"Camera {camera_name} not found")
camera_config.auto_start_recording_enabled = True
self.config.save_config()
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info:
camera_info.auto_recording_enabled = True
return AutoRecordingConfigResponse(success=True, message=f"Auto-recording enabled for camera {camera_name}", camera_name=camera_name, enabled=True)
except HTTPException:
raise
except Exception as e:
self.logger.error(f"Error enabling auto-recording for camera {camera_name}: {e}")
raise HTTPException(status_code=500, detail=str(e))
@self.app.post("/cameras/{camera_name}/auto-recording/disable", response_model=AutoRecordingConfigResponse)
async def disable_auto_recording(camera_name: str):
"""Disable auto-recording for a camera"""
try:
if not self.auto_recording_manager:
raise HTTPException(status_code=503, detail="Auto-recording manager not available")
# Update camera configuration
camera_config = self.config.get_camera_by_name(camera_name)
if not camera_config:
raise HTTPException(status_code=404, detail=f"Camera {camera_name} not found")
camera_config.auto_start_recording_enabled = False
self.config.save_config()
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info:
camera_info.auto_recording_enabled = False
camera_info.auto_recording_active = False
return AutoRecordingConfigResponse(success=True, message=f"Auto-recording disabled for camera {camera_name}", camera_name=camera_name, enabled=False)
except HTTPException:
raise
except Exception as e:
self.logger.error(f"Error disabling auto-recording for camera {camera_name}: {e}")
raise HTTPException(status_code=500, detail=str(e))
@self.app.get("/auto-recording/status", response_model=AutoRecordingStatusResponse)
async def get_auto_recording_status():
"""Get auto-recording manager status"""
try:
if not self.auto_recording_manager:
raise HTTPException(status_code=503, detail="Auto-recording manager not available")
status = self.auto_recording_manager.get_status()
return AutoRecordingStatusResponse(**status)
except Exception as e:
self.logger.error(f"Error getting auto-recording status: {e}")
raise HTTPException(status_code=500, detail=str(e))
@self.app.get("/recordings", response_model=Dict[str, RecordingInfoResponse])
async def get_recordings():
"""Get all recording sessions"""

View File

@@ -40,6 +40,11 @@ class CameraConfig:
target_fps: float = 3.0
enabled: bool = True
# Auto-recording settings
auto_start_recording_enabled: bool = False # Enable automatic recording when machine turns on
auto_recording_max_retries: int = 3 # Maximum retry attempts for failed auto-recording starts
auto_recording_retry_delay_seconds: int = 5 # Delay between retry attempts
# Image Quality Settings
sharpness: int = 100 # 0-200, default 100 (no sharpening)
contrast: int = 100 # 0-200, default 100 (normal contrast)
@@ -86,7 +91,10 @@ class SystemConfig:
api_host: str = "0.0.0.0"
api_port: int = 8000
enable_api: bool = True
timezone: str = "America/New_York" # Atlanta, Georgia timezone
timezone: str = "America/New_York"
# Auto-recording system settings
auto_recording_enabled: bool = True # Global enable/disable for auto-recording feature # Atlanta, Georgia timezone
class Config:

View File

@@ -77,6 +77,13 @@ class CameraInfo:
current_recording_file: Optional[str] = None
recording_start_time: Optional[datetime] = None
# Auto-recording status
auto_recording_enabled: bool = False
auto_recording_active: bool = False # Whether auto-recording is currently managing this camera
auto_recording_failure_count: int = 0
auto_recording_last_attempt: Optional[datetime] = None
auto_recording_last_error: Optional[str] = None
@dataclass
class RecordingInfo:

View File

@@ -19,58 +19,55 @@ from .core.timezone_utils import log_time_info, check_time_sync
from .mqtt.client import MQTTClient
from .camera.manager import CameraManager
from .storage.manager import StorageManager
from .recording.auto_manager import AutoRecordingManager
from .api.server import APIServer
class USDAVisionSystem:
"""Main application coordinator for the USDA Vision Camera System"""
def __init__(self, config_file: Optional[str] = None):
# Load configuration first (basic logging will be used initially)
self.config = Config(config_file)
# Setup comprehensive logging
self.logger_setup = setup_logging(
log_level=self.config.system.log_level,
log_file=self.config.system.log_file
)
self.logger_setup = setup_logging(log_level=self.config.system.log_level, log_file=self.config.system.log_file)
self.logger = logging.getLogger(__name__)
# Setup error tracking and performance monitoring
self.error_tracker = get_error_tracker("main_system")
self.performance_logger = get_performance_logger("main_system")
# Initialize core components
self.state_manager = StateManager()
self.event_system = EventSystem()
# Initialize system components
self.storage_manager = StorageManager(self.config, self.state_manager, self.event_system)
self.mqtt_client = MQTTClient(self.config, self.state_manager, self.event_system)
self.camera_manager = CameraManager(self.config, self.state_manager, self.event_system)
self.api_server = APIServer(
self.config, self.state_manager, self.event_system,
self.camera_manager, self.mqtt_client, self.storage_manager
)
self.auto_recording_manager = AutoRecordingManager(self.config, self.state_manager, self.event_system, self.camera_manager)
self.api_server = APIServer(self.config, self.state_manager, self.event_system, self.camera_manager, self.mqtt_client, self.storage_manager, self.auto_recording_manager)
# System state
self.running = False
self.start_time: Optional[datetime] = None
# Setup signal handlers for graceful shutdown
self._setup_signal_handlers()
self.logger.info("USDA Vision Camera System initialized")
def _setup_signal_handlers(self) -> None:
"""Setup signal handlers for graceful shutdown"""
def signal_handler(signum, frame):
self.logger.info(f"Received signal {signum}, initiating graceful shutdown...")
self.stop()
signal.signal(signal.SIGINT, signal_handler)
signal.signal(signal.SIGTERM, signal_handler)
def start(self) -> bool:
"""Start the entire system"""
if self.running:
@@ -86,10 +83,7 @@ class USDAVisionSystem:
log_time_info(self.logger)
sync_info = check_time_sync()
if sync_info["sync_status"] == "out_of_sync":
self.error_tracker.log_warning(
f"System time may be out of sync (difference: {sync_info.get('time_diff_seconds', 'unknown')}s)",
"time_sync_check"
)
self.error_tracker.log_warning(f"System time may be out of sync (difference: {sync_info.get('time_diff_seconds', 'unknown')}s)", "time_sync_check")
elif sync_info["sync_status"] == "synchronized":
self.logger.info("✅ System time is synchronized")
@@ -131,6 +125,17 @@ class USDAVisionSystem:
self.mqtt_client.stop()
return False
# Start auto-recording manager
self.logger.info("Starting auto-recording manager...")
try:
if not self.auto_recording_manager.start():
self.error_tracker.log_warning("Failed to start auto-recording manager", "auto_recording_startup")
else:
self.logger.info("Auto-recording manager started successfully")
except Exception as e:
self.error_tracker.log_error(e, "auto_recording_startup")
self.logger.warning("Auto-recording manager failed to start (continuing without auto-recording)")
# Start API server
self.logger.info("Starting API server...")
try:
@@ -147,11 +152,7 @@ class USDAVisionSystem:
self.state_manager.set_system_started(True)
# Publish system started event
self.event_system.publish(
EventType.SYSTEM_SHUTDOWN, # We don't have SYSTEM_STARTED, using closest
"main_system",
{"action": "started", "timestamp": self.start_time.isoformat()}
)
self.event_system.publish(EventType.SYSTEM_SHUTDOWN, "main_system", {"action": "started", "timestamp": self.start_time.isoformat()}) # We don't have SYSTEM_STARTED, using closest
startup_time = self.performance_logger.end_timer("system_startup")
self.logger.info(f"USDA Vision Camera System started successfully in {startup_time:.2f}s")
@@ -161,89 +162,77 @@ class USDAVisionSystem:
self.error_tracker.log_error(e, "system_startup")
self.stop()
return False
def stop(self) -> None:
"""Stop the entire system gracefully"""
if not self.running:
return
self.logger.info("Stopping USDA Vision Camera System...")
self.running = False
try:
# Update system state
self.state_manager.set_system_started(False)
# Publish system shutdown event
self.event_system.publish(
EventType.SYSTEM_SHUTDOWN,
"main_system",
{"action": "stopping", "timestamp": datetime.now().isoformat()}
)
self.event_system.publish(EventType.SYSTEM_SHUTDOWN, "main_system", {"action": "stopping", "timestamp": datetime.now().isoformat()})
# Stop API server
self.api_server.stop()
# Stop auto-recording manager
self.auto_recording_manager.stop()
# Stop camera manager (this will stop all recordings)
self.camera_manager.stop()
# Stop MQTT client
self.mqtt_client.stop()
# Final cleanup
if self.start_time:
uptime = (datetime.now() - self.start_time).total_seconds()
self.logger.info(f"System uptime: {uptime:.1f} seconds")
self.logger.info("USDA Vision Camera System stopped")
except Exception as e:
self.logger.error(f"Error during system shutdown: {e}")
def run(self) -> None:
"""Run the system (blocking call)"""
if not self.start():
self.logger.error("Failed to start system")
return
try:
self.logger.info("System running... Press Ctrl+C to stop")
# Main loop - just keep the system alive
while self.running:
time.sleep(1)
# Periodic maintenance tasks could go here
# For example: cleanup old recordings, health checks, etc.
except KeyboardInterrupt:
self.logger.info("Keyboard interrupt received")
except Exception as e:
self.logger.error(f"Unexpected error in main loop: {e}")
finally:
self.stop()
def get_system_status(self) -> dict:
"""Get comprehensive system status"""
return {
"running": self.running,
"start_time": self.start_time.isoformat() if self.start_time else None,
"uptime_seconds": (datetime.now() - self.start_time).total_seconds() if self.start_time else 0,
"components": {
"mqtt_client": {
"running": self.mqtt_client.is_running(),
"connected": self.mqtt_client.is_connected()
},
"camera_manager": {
"running": self.camera_manager.is_running()
},
"api_server": {
"running": self.api_server.is_running()
}
},
"state_summary": self.state_manager.get_system_summary()
"components": {"mqtt_client": {"running": self.mqtt_client.is_running(), "connected": self.mqtt_client.is_connected()}, "camera_manager": {"running": self.camera_manager.is_running()}, "api_server": {"running": self.api_server.is_running()}},
"state_summary": self.state_manager.get_system_summary(),
}
def is_running(self) -> bool:
"""Check if system is running"""
return self.running
@@ -252,31 +241,20 @@ class USDAVisionSystem:
def main():
"""Main entry point for the application"""
import argparse
parser = argparse.ArgumentParser(description="USDA Vision Camera System")
parser.add_argument(
"--config",
type=str,
help="Path to configuration file",
default="config.json"
)
parser.add_argument(
"--log-level",
type=str,
choices=["DEBUG", "INFO", "WARNING", "ERROR"],
help="Override log level",
default=None
)
parser.add_argument("--config", type=str, help="Path to configuration file", default="config.json")
parser.add_argument("--log-level", type=str, choices=["DEBUG", "INFO", "WARNING", "ERROR"], help="Override log level", default=None)
args = parser.parse_args()
# Create and run system
system = USDAVisionSystem(args.config)
# Override log level if specified
if args.log_level:
logging.getLogger().setLevel(getattr(logging, args.log_level))
try:
system.run()
except Exception as e:

View File

@@ -0,0 +1,10 @@
"""
Recording module for the USDA Vision Camera System.
This module contains components for managing automatic recording
based on machine state changes.
"""
from .auto_manager import AutoRecordingManager
__all__ = ["AutoRecordingManager"]

View File

@@ -0,0 +1,352 @@
"""
Auto-Recording Manager for the USDA Vision Camera System.
This module manages automatic recording start/stop based on machine state changes
received via MQTT. It includes retry logic for failed recording attempts and
tracks auto-recording status for each camera.
"""
import threading
import time
import logging
from typing import Dict, Optional, Any
from datetime import datetime, timedelta
from ..core.config import Config, CameraConfig
from ..core.state_manager import StateManager, MachineState
from ..core.events import EventSystem, EventType, Event
from ..core.timezone_utils import format_filename_timestamp
class AutoRecordingManager:
"""Manages automatic recording based on machine state changes"""
def __init__(self, config: Config, state_manager: StateManager, event_system: EventSystem, camera_manager):
self.config = config
self.state_manager = state_manager
self.event_system = event_system
self.camera_manager = camera_manager
self.logger = logging.getLogger(__name__)
# Threading
self.running = False
self._retry_thread: Optional[threading.Thread] = None
self._stop_event = threading.Event()
# Track retry attempts for each camera
self._retry_queue: Dict[str, Dict[str, Any]] = {} # camera_name -> retry_info
self._retry_lock = threading.RLock()
# Subscribe to machine state change events
self.event_system.subscribe(EventType.MACHINE_STATE_CHANGED, self._on_machine_state_changed)
def start(self) -> bool:
"""Start the auto-recording manager"""
if self.running:
self.logger.warning("Auto-recording manager is already running")
return True
if not self.config.system.auto_recording_enabled:
self.logger.info("Auto-recording is disabled in system configuration")
return True
self.logger.info("Starting auto-recording manager...")
self.running = True
self._stop_event.clear()
# Initialize camera auto-recording status
self._initialize_camera_status()
# Start retry thread
self._retry_thread = threading.Thread(target=self._retry_loop, daemon=True)
self._retry_thread.start()
self.logger.info("Auto-recording manager started successfully")
return True
def stop(self) -> None:
"""Stop the auto-recording manager"""
if not self.running:
return
self.logger.info("Stopping auto-recording manager...")
self.running = False
self._stop_event.set()
# Wait for retry thread to finish
if self._retry_thread and self._retry_thread.is_alive():
self._retry_thread.join(timeout=5)
self.logger.info("Auto-recording manager stopped")
def _initialize_camera_status(self) -> None:
"""Initialize auto-recording status for all cameras"""
for camera_config in self.config.cameras:
if camera_config.enabled and camera_config.auto_start_recording_enabled:
# Update camera status in state manager
camera_info = self.state_manager.get_camera_info(camera_config.name)
if camera_info:
camera_info.auto_recording_enabled = True
self.logger.info(f"Auto-recording enabled for camera {camera_config.name}")
def _on_machine_state_changed(self, event: Event) -> None:
"""Handle machine state change events"""
try:
machine_name = event.data.get("machine_name")
new_state = event.data.get("state")
if not machine_name or not new_state:
return
self.logger.info(f"Machine state changed: {machine_name} -> {new_state}")
# Find cameras associated with this machine
associated_cameras = self._get_cameras_for_machine(machine_name)
for camera_config in associated_cameras:
if not camera_config.enabled or not camera_config.auto_start_recording_enabled:
continue
if new_state.lower() == "on":
self._handle_machine_on(camera_config)
elif new_state.lower() == "off":
self._handle_machine_off(camera_config)
except Exception as e:
self.logger.error(f"Error handling machine state change: {e}")
def _get_cameras_for_machine(self, machine_name: str) -> list[CameraConfig]:
"""Get all cameras associated with a machine topic"""
associated_cameras = []
# Map machine names to topics
machine_topic_map = {
"vibratory_conveyor": "vibratory_conveyor",
"blower_separator": "blower_separator"
}
machine_topic = machine_topic_map.get(machine_name)
if not machine_topic:
return associated_cameras
for camera_config in self.config.cameras:
if camera_config.machine_topic == machine_topic:
associated_cameras.append(camera_config)
return associated_cameras
def _handle_machine_on(self, camera_config: CameraConfig) -> None:
"""Handle machine turning on - start recording"""
camera_name = camera_config.name
# Check if camera is already recording
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info and camera_info.is_recording:
self.logger.info(f"Camera {camera_name} is already recording, skipping auto-start")
return
self.logger.info(f"Machine turned ON - attempting to start recording for camera {camera_name}")
# Update auto-recording status
if camera_info:
camera_info.auto_recording_active = True
camera_info.auto_recording_last_attempt = datetime.now()
# Attempt to start recording
success = self._start_recording_for_camera(camera_config)
if not success:
# Add to retry queue
self._add_to_retry_queue(camera_config, "start")
def _handle_machine_off(self, camera_config: CameraConfig) -> None:
"""Handle machine turning off - stop recording"""
camera_name = camera_config.name
self.logger.info(f"Machine turned OFF - attempting to stop recording for camera {camera_name}")
# Update auto-recording status
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info:
camera_info.auto_recording_active = False
# Remove from retry queue if present
with self._retry_lock:
if camera_name in self._retry_queue:
del self._retry_queue[camera_name]
# Attempt to stop recording
self._stop_recording_for_camera(camera_config)
def _start_recording_for_camera(self, camera_config: CameraConfig) -> bool:
"""Start recording for a specific camera"""
try:
camera_name = camera_config.name
# Generate filename with timestamp and machine info
timestamp = format_filename_timestamp()
machine_name = camera_config.machine_topic.replace("_", "-")
filename = f"{camera_name}_auto_{machine_name}_{timestamp}.avi"
# Use camera manager to start recording
success = self.camera_manager.manual_start_recording(camera_name, filename)
if success:
self.logger.info(f"Successfully started auto-recording for camera {camera_name}: {filename}")
# Update status
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info:
camera_info.auto_recording_failure_count = 0
camera_info.auto_recording_last_error = None
return True
else:
self.logger.error(f"Failed to start auto-recording for camera {camera_name}")
return False
except Exception as e:
self.logger.error(f"Error starting auto-recording for camera {camera_config.name}: {e}")
# Update error status
camera_info = self.state_manager.get_camera_info(camera_config.name)
if camera_info:
camera_info.auto_recording_last_error = str(e)
return False
def _stop_recording_for_camera(self, camera_config: CameraConfig) -> bool:
"""Stop recording for a specific camera"""
try:
camera_name = camera_config.name
# Use camera manager to stop recording
success = self.camera_manager.manual_stop_recording(camera_name)
if success:
self.logger.info(f"Successfully stopped auto-recording for camera {camera_name}")
return True
else:
self.logger.warning(f"Failed to stop auto-recording for camera {camera_name} (may not have been recording)")
return False
except Exception as e:
self.logger.error(f"Error stopping auto-recording for camera {camera_config.name}: {e}")
return False
def _add_to_retry_queue(self, camera_config: CameraConfig, action: str) -> None:
"""Add a camera to the retry queue"""
with self._retry_lock:
camera_name = camera_config.name
retry_info = {
"camera_config": camera_config,
"action": action,
"attempt_count": 0,
"next_retry_time": datetime.now() + timedelta(seconds=camera_config.auto_recording_retry_delay_seconds),
"max_retries": camera_config.auto_recording_max_retries
}
self._retry_queue[camera_name] = retry_info
self.logger.info(f"Added camera {camera_name} to retry queue for {action} (max retries: {retry_info['max_retries']})")
def _retry_loop(self) -> None:
"""Background thread to handle retry attempts"""
while self.running and not self._stop_event.is_set():
try:
current_time = datetime.now()
cameras_to_retry = []
# Find cameras ready for retry
with self._retry_lock:
for camera_name, retry_info in list(self._retry_queue.items()):
if current_time >= retry_info["next_retry_time"]:
cameras_to_retry.append((camera_name, retry_info))
# Process retries
for camera_name, retry_info in cameras_to_retry:
self._process_retry(camera_name, retry_info)
# Sleep for a short interval
self._stop_event.wait(1)
except Exception as e:
self.logger.error(f"Error in retry loop: {e}")
self._stop_event.wait(5)
def _process_retry(self, camera_name: str, retry_info: Dict[str, Any]) -> None:
"""Process a retry attempt for a camera"""
try:
retry_info["attempt_count"] += 1
camera_config = retry_info["camera_config"]
action = retry_info["action"]
self.logger.info(f"Retry attempt {retry_info['attempt_count']}/{retry_info['max_retries']} for camera {camera_name} ({action})")
# Update camera status
camera_info = self.state_manager.get_camera_info(camera_name)
if camera_info:
camera_info.auto_recording_last_attempt = datetime.now()
camera_info.auto_recording_failure_count = retry_info["attempt_count"]
# Attempt the action
success = False
if action == "start":
success = self._start_recording_for_camera(camera_config)
if success:
# Success - remove from retry queue
with self._retry_lock:
if camera_name in self._retry_queue:
del self._retry_queue[camera_name]
self.logger.info(f"Retry successful for camera {camera_name}")
else:
# Failed - check if we should retry again
if retry_info["attempt_count"] >= retry_info["max_retries"]:
# Max retries reached
with self._retry_lock:
if camera_name in self._retry_queue:
del self._retry_queue[camera_name]
error_msg = f"Max retry attempts ({retry_info['max_retries']}) reached for camera {camera_name}"
self.logger.error(error_msg)
# Update camera status
if camera_info:
camera_info.auto_recording_last_error = error_msg
camera_info.auto_recording_active = False
else:
# Schedule next retry
retry_info["next_retry_time"] = datetime.now() + timedelta(seconds=camera_config.auto_recording_retry_delay_seconds)
self.logger.info(f"Scheduling next retry for camera {camera_name} in {camera_config.auto_recording_retry_delay_seconds} seconds")
except Exception as e:
self.logger.error(f"Error processing retry for camera {camera_name}: {e}")
# Remove from retry queue on error
with self._retry_lock:
if camera_name in self._retry_queue:
del self._retry_queue[camera_name]
def get_status(self) -> Dict[str, Any]:
"""Get auto-recording manager status"""
with self._retry_lock:
retry_queue_status = {
camera_name: {
"action": info["action"],
"attempt_count": info["attempt_count"],
"max_retries": info["max_retries"],
"next_retry_time": info["next_retry_time"].isoformat()
}
for camera_name, info in self._retry_queue.items()
}
return {
"running": self.running,
"auto_recording_enabled": self.config.system.auto_recording_enabled,
"retry_queue": retry_queue_status,
"enabled_cameras": [
camera.name for camera in self.config.cameras
if camera.enabled and camera.auto_start_recording_enabled
]
}