analytics-ingest 0.1.58

- Signal validation added before GraphQL call to avoid unnecessary request failures.

Analytics Ingest Client

A lightweight Python library to batch and push automotive telemetry data—such as signals, Diagnostic Trouble Codes (DTCs), GPS data, and network statistics—to a GraphQL backend.

---

🔧 Features

• Supports Python 3.11+
• Clean, single-class interface: IcsAnalytics
• In-memory caching for resolved IDs (message id or configuration)
• Batching support (by interval, count, or signal limit)
• Async-safe request queuing (only 1 request at a time)
• Minimal dependency footprint
• Easy to test and integrate
• Supports signals, DTCs, GPS, and network stats ingestion

---

📦 Installation

pip install analytics-ingest

---

🚀 Usage

Basic Example

from analytics_ingest import IcsAnalytics

client = IcsAnalytics(
    device_id=123,
    vehicle_id=456,
    fleet_id=789,
    org_id=1011,
    graphql_endpoint="https://your-backend/graphql",
    batch_size=100,
    batch_interval_seconds=10,
    max_signal_count=100
)

# Add signals (list of dicts)
client.add_signal([
    {'name': 'VehicleIdentificationNumber', 'unit': '', 'messageName': 'BusQuery_IDDecoding_F190_VSSAL', 'networkName': 'Cluster_6_TestTool', 'ecuName': '', 'arbId': '', 'fileId': '1234', 'paramType': 'TEXT', 'signalType': 'DID', 'messageDate': '2025-07-15T01:40:00.000000', 'paramId': 'F190', 'data': [{'value': 0.04, 'time': '1970-01-07T18:28:54Z'}]},
    # ... more signals ...
])

# Add DTCs (list of dicts)
client.add_dtc([{'messageName': 'DTC Message99B049', 'name': 'DTC Message99B049', 'networkName': 'Cluster_6_TestTool', 'ecuName': 'VCU_Android_GAS', 'ecuId': '14DA80F1', 'messageDate': '2025-07-15T01:42:20.385429', 'fileId': '1234', 'data': [{'dtcId': 'B19B0-49', 'description': 'Head-Up Display - Internal Electronic Failure', 'status': '2F', 'time': '2025-07-15T01:42:15.979524'}]} 
# ... more DTCs ...
])

# Add GPS data (dict)
client.add_gps({
    "latitude": 37.7749,
    "longitude": -122.4194,
    "timestamp": "2024-01-01T00:00:00Z"
})

# Add network stats (dict)
client.add_network_stats({
    "name": "CAN1",
    "vehicleId": 456,
    "uploadId": 1,
    "totalMessages": 1000,
    "matchedMessages": 950,
    "unmatchedMessages": 50,
    "errorMessages": 0,
    "longMessageParts": 0,
    "rate": 500.0
})

# Graceful shutdown (flushes any remaining data)
client.close()

---

⚙️ Configuration

You can configure the client via constructor arguments or environment variables (e.g., GRAPH_ENDPOINT).

• device_id, vehicle_id, fleet_id, org_id: Required identifiers
• graphql_endpoint: URL to your GraphQL backend
• batch_size: Number of items per batch (default: 100)
• batch_interval_seconds: Max seconds between batch sends (default: 10)
• max_signal_count: Max signals per batch (default: 100)

---

🛠️ Error Handling & Logging

• Uses exceptions for invalid input or backend errors
• Replaceable print statements with logging recommended for production
• Retries failed batch sends on next interval

---

🧪 Testing

Run all test cases:

PYTHONPATH=src python3 -m unittest discover -s tests -v

Build and upload package:

python3 -m build
python -m twine upload dist/*

---

💡 Improvements & Roadmap

• Add more usage examples and API documentation
• Integrate a logging framework
• Increase test coverage and add integration tests
• Allow dynamic runtime configuration
• Expose a fully async API
• Add metrics and monitoring hooks
• Enforce linting and type checking in CI

---

🤝 Contributing

Pull requests and issues are welcome! Please add tests for new features and follow PEP8 style guidelines.

---

📄 License

MIT License Readme.txt 4 KB