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Scaffold professional repository structure for Raspberry Pi Geekworm X1201 UPS Monitor #1
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Co-authored-by: afmiller2000 <152091672+afmiller2000@users.noreply.github.com>
Co-authored-by: afmiller2000 <152091672+afmiller2000@users.noreply.github.com>
Co-authored-by: afmiller2000 <152091672+afmiller2000@users.noreply.github.com>
Co-authored-by: afmiller2000 <152091672+afmiller2000@users.noreply.github.com>
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Pull Request Overview
This PR establishes a comprehensive, professional repository structure for the Raspberry Pi Geekworm X1201 UPS Monitor project. The scaffolding transforms the codebase from prototype scripts into a production-ready system with working CLI, extensive documentation, test coverage, and deployment configurations.
- Implements complete command-line interface with immediate functionality using mock data
- Provides extensive configuration system with LED mapping, battery profiles, and hardware calibration
- Establishes professional development workflow with tests, documentation, and CI/CD
Reviewed Changes
Copilot reviewed 36 out of 41 changed files in this pull request and generated 6 comments.
Show a summary per file
| File | Description |
|---|---|
| README.md | Complete project overview with feature list and repository structure map |
| CONTRIBUTING.md | Detailed contribution guidelines with development workflow and testing procedures |
| CODE_OF_CONDUCT.md | Community standards using Contributor Covenant 2.0 |
| LICENSE | MIT License for open-source distribution |
| src/cli.py | Working command-line interface with comprehensive argument parsing and operations |
| src/monitor/*.py | Core monitoring modules with sensor management, LED control, and logging |
| tests/ | Comprehensive test suite covering sensors and LED functionality with 55+ unit tests |
| config/ | Complete configuration system with LED mapping, battery profiles, and calibration data |
| docs/ | Professional documentation including getting started guide, calibration procedures, and technical specs |
| .github/ | GitHub integration with issue templates, PR template, and CI/CD workflow |
| scripts/ | Hardware testing and utility scripts for I2C scanning and GPIO checking |
| service/ | Production deployment configurations with systemd service and Docker support |
Tip: Customize your code reviews with copilot-instructions.md. Create the file or learn how to get started.
| # Add src directory to path | ||
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) | ||
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Copilot
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Sep 22, 2025
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Using sys.path.insert for imports is not recommended. Consider using a proper package structure or pytest configuration instead.
| # Add src directory to path | |
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) |
| # Add src directory to path | ||
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) | ||
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Copilot
AI
Sep 22, 2025
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Using sys.path.insert for imports is not recommended. Consider using a proper package structure or pytest configuration instead.
| # Add src directory to path | |
| sys.path.insert(0, os.path.join(os.path.dirname(__file__), '..', 'src')) |
| if not HARDWARE_AVAILABLE: | ||
| # Mock data for development | ||
| import random | ||
| return round(random.uniform(3.2, 4.2), 2) |
Copilot
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Sep 22, 2025
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The random import is repeated in multiple methods. Consider importing it at the module level when HARDWARE_AVAILABLE is False to avoid redundant imports.
| class AnalyticsEngine: | ||
| """Analytics engine for battery and power data analysis.""" | ||
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| def __init__(self, config_dir: str = "config"): | ||
| self.config_dir = Path(config_dir) | ||
| self.history = [] | ||
| self.logger = logging.getLogger(__name__) | ||
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| def update(self, readings: Dict[str, Any]): | ||
| """Update analytics with new readings.""" | ||
| self.history.append({ | ||
| "timestamp": time.time(), | ||
| "readings": readings.copy() | ||
| }) | ||
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| # Keep last 1000 readings | ||
| if len(self.history) > 1000: | ||
| self.history.pop(0) | ||
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| def get_analytics(self) -> Dict[str, Any]: | ||
| """Get current analytics summary.""" | ||
| if not self.history: | ||
| return {} | ||
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| recent = self.history[-10:] | ||
| voltages = [r["readings"].get("battery_voltage", 0) for r in recent] | ||
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| return { | ||
| "average_voltage": sum(voltages) / len(voltages) if voltages else 0, | ||
| "voltage_trend": "stable", # TODO: Implement trend analysis | ||
| "data_points": len(self.history) | ||
| } | ||
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| class RuntimeEstimator: | ||
| """Runtime estimation based on battery capacity and load.""" | ||
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| def __init__(self, config_dir: str = "config"): | ||
| self.config_dir = Path(config_dir) | ||
| self.last_estimate = None | ||
| self.logger = logging.getLogger(__name__) | ||
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| def update(self, readings: Dict[str, Any]): | ||
| """Update runtime estimate with new readings.""" | ||
| try: | ||
| percentage = readings.get("battery_percentage", 0) | ||
| current = abs(readings.get("battery_current", 1.0)) | ||
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| if current > 0.1: # Avoid division by zero | ||
| # Simple estimation: assume 2500mAh capacity | ||
| capacity_mah = 2500 | ||
| remaining_mah = (percentage / 100) * capacity_mah | ||
| runtime_hours = remaining_mah / (current * 1000) | ||
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| self.last_estimate = { | ||
| "minutes": runtime_hours * 60, | ||
| "hours": runtime_hours, | ||
| "percentage": percentage, | ||
| "load_current": current | ||
| } | ||
| else: | ||
| self.last_estimate = { | ||
| "minutes": 0, | ||
| "hours": 0, | ||
| "percentage": percentage, | ||
| "load_current": 0 | ||
| } | ||
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| except Exception as e: | ||
| self.logger.error(f"Runtime estimation failed: {e}") | ||
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| def get_runtime_estimate(self) -> Optional[Dict[str, Any]]: | ||
| """Get current runtime estimate.""" | ||
| return self.last_estimate | ||
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| class SafetyManager: |
Copilot
AI
Sep 22, 2025
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Having multiple classes in the logger.py module violates single responsibility principle. Consider moving AnalyticsEngine, RuntimeEstimator, and SafetyManager to their respective modules.
| class AnalyticsEngine: | |
| """Analytics engine for battery and power data analysis.""" | |
| def __init__(self, config_dir: str = "config"): | |
| self.config_dir = Path(config_dir) | |
| self.history = [] | |
| self.logger = logging.getLogger(__name__) | |
| def update(self, readings: Dict[str, Any]): | |
| """Update analytics with new readings.""" | |
| self.history.append({ | |
| "timestamp": time.time(), | |
| "readings": readings.copy() | |
| }) | |
| # Keep last 1000 readings | |
| if len(self.history) > 1000: | |
| self.history.pop(0) | |
| def get_analytics(self) -> Dict[str, Any]: | |
| """Get current analytics summary.""" | |
| if not self.history: | |
| return {} | |
| recent = self.history[-10:] | |
| voltages = [r["readings"].get("battery_voltage", 0) for r in recent] | |
| return { | |
| "average_voltage": sum(voltages) / len(voltages) if voltages else 0, | |
| "voltage_trend": "stable", # TODO: Implement trend analysis | |
| "data_points": len(self.history) | |
| } | |
| class RuntimeEstimator: | |
| """Runtime estimation based on battery capacity and load.""" | |
| def __init__(self, config_dir: str = "config"): | |
| self.config_dir = Path(config_dir) | |
| self.last_estimate = None | |
| self.logger = logging.getLogger(__name__) | |
| def update(self, readings: Dict[str, Any]): | |
| """Update runtime estimate with new readings.""" | |
| try: | |
| percentage = readings.get("battery_percentage", 0) | |
| current = abs(readings.get("battery_current", 1.0)) | |
| if current > 0.1: # Avoid division by zero | |
| # Simple estimation: assume 2500mAh capacity | |
| capacity_mah = 2500 | |
| remaining_mah = (percentage / 100) * capacity_mah | |
| runtime_hours = remaining_mah / (current * 1000) | |
| self.last_estimate = { | |
| "minutes": runtime_hours * 60, | |
| "hours": runtime_hours, | |
| "percentage": percentage, | |
| "load_current": current | |
| } | |
| else: | |
| self.last_estimate = { | |
| "minutes": 0, | |
| "hours": 0, | |
| "percentage": percentage, | |
| "load_current": 0 | |
| } | |
| except Exception as e: | |
| self.logger.error(f"Runtime estimation failed: {e}") | |
| def get_runtime_estimate(self) -> Optional[Dict[str, Any]]: | |
| """Get current runtime estimate.""" | |
| return self.last_estimate | |
| class SafetyManager: |
| # Add src directory to path for imports | ||
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | ||
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| from monitor import UPSMonitor | ||
| from monitor.logger import setup_logging | ||
| from monitor.sensors import SensorManager | ||
| from monitor.led import LEDManager | ||
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Copilot
AI
Sep 22, 2025
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Using sys.path.insert for imports is not recommended. Consider using proper Python package imports with PYTHONPATH or relative imports.
| # Add src directory to path for imports | |
| sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) | |
| from monitor import UPSMonitor | |
| from monitor.logger import setup_logging | |
| from monitor.sensors import SensorManager | |
| from monitor.led import LEDManager | |
| # Import monitor modules using relative imports | |
| from .monitor import UPSMonitor | |
| from .monitor.logger import setup_logging | |
| from .monitor.sensors import SensorManager | |
| from .monitor.led import LEDManager |
| 100: 4.20 # Full charge | ||
| 95: 4.15 | ||
| 90: 4.10 | ||
| 85: 4.05 | ||
| 80: 4.00 | ||
| 75: 3.95 | ||
| 70: 3.90 | ||
| 65: 3.85 | ||
| 60: 3.80 | ||
| 55: 3.78 | ||
| 50: 3.75 # Nominal voltage | ||
| 45: 3.73 | ||
| 40: 3.70 | ||
| 35: 3.68 | ||
| 30: 3.65 | ||
| 25: 3.62 | ||
| 20: 3.60 | ||
| 15: 3.58 | ||
| 10: 3.55 | ||
| 5: 3.50 | ||
| 0: 2.50 # Protection cutoff |
Copilot
AI
Sep 22, 2025
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[nitpick] The voltage curve uses integer keys which may cause issues in YAML parsing. Consider using quoted string keys like '100' to ensure consistent parsing.
| 100: 4.20 # Full charge | |
| 95: 4.15 | |
| 90: 4.10 | |
| 85: 4.05 | |
| 80: 4.00 | |
| 75: 3.95 | |
| 70: 3.90 | |
| 65: 3.85 | |
| 60: 3.80 | |
| 55: 3.78 | |
| 50: 3.75 # Nominal voltage | |
| 45: 3.73 | |
| 40: 3.70 | |
| 35: 3.68 | |
| 30: 3.65 | |
| 25: 3.62 | |
| 20: 3.60 | |
| 15: 3.58 | |
| 10: 3.55 | |
| 5: 3.50 | |
| 0: 2.50 # Protection cutoff | |
| '100': 4.20 # Full charge | |
| '95': 4.15 | |
| '90': 4.10 | |
| '85': 4.05 | |
| '80': 4.00 | |
| '75': 3.95 | |
| '70': 3.90 | |
| '65': 3.85 | |
| '60': 3.80 | |
| '55': 3.78 | |
| '50': 3.75 # Nominal voltage | |
| '45': 3.73 | |
| '40': 3.70 | |
| '35': 3.68 | |
| '30': 3.65 | |
| '25': 3.62 | |
| '20': 3.60 | |
| '15': 3.58 | |
| '10': 3.55 | |
| '5': 3.50 | |
| '0': 2.50 # Protection cutoff |
This PR establishes a comprehensive, production-ready repository structure for the Raspberry Pi Geekworm X1201 UPS Monitor project, transforming it from a collection of prototype scripts into a professionally organized, maintainable, and extensible codebase.
Overview
The scaffolding provides a complete foundation with working CLI, comprehensive documentation, test suites, and deployment configurations. All components include appropriate stubs, headers, and placeholder content to enable immediate development and onboarding.
Key Components Added
📄 Professional Documentation Structure
🔧 GitHub Integration
💻 Working Command-Line Interface
The CLI is immediately functional with mock implementations:
⚙️ Comprehensive Configuration System
🧪 Professional Test Suite
🚀 Production Deployment Ready
🛠️ Developer Tools
Technical Highlights
Modular Architecture
The codebase is organized into logical modules:
sensors.py: I2C communication and sensor data collectionled.py: LED display management with pattern mappinglogger.py: Event logging and analyticsanalytics.py,runtime.py,safeops.py: Core monitoring functionalityConfiguration-Driven Design
All behavior is configurable through YAML files:
Safety-First Implementation
Immediate Benefits
Future Development Path
This scaffolding enables straightforward progression from prototype to production:
The professional structure ensures maintainable, scalable development as the project evolves from basic monitoring to a comprehensive UPS management platform.
All files include appropriate headers, stubs, and placeholder content as requested, enabling immediate extension and professional development.
This pull request was created as a result of the following prompt from Copilot chat.
💬 Share your feedback on Copilot coding agent for the chance to win a $200 gift card! Click here to start the survey.