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Pure Bluetooth SIG standards library for characteristic and service interpretation

Project description

Bluetooth SIG Standards Library

Coverage Status Python 3.10+ PyPI version License: MIT Documentation

A pure Python library for Bluetooth SIG standards interpretation, providing comprehensive GATT characteristic, service, and advertisement parsing with automatic UUID resolution.

📚 Full Documentation | 🚀 Quick Start | 📖 API Reference

Features

  • Standards-Based: Official Bluetooth SIG YAML registry with automatic UUID resolution
  • Type-Safe: Characteristic classes provide compile-time type checking; UUID strings return dynamic types
  • Modern Python: msgspec-based design with Python 3.10+ compatibility
  • Comprehensive: Support for 200+ GATT characteristics across multiple service categories
  • Flexible Validation: Enable/disable validation per-characteristic for testing or debugging
  • Framework Agnostic: Works with any BLE library (bleak, simplepyble, etc.)

Installation

pip install bluetooth-sig

Quick Start

Type-Safe Parsing (recommended for known devices):

from bluetooth_sig.gatt.characteristics import (
    BatteryLevelCharacteristic,
    HeartRateMeasurementCharacteristic,
)

# Simple: IDE infers return type as int
battery = BatteryLevelCharacteristic()
level = battery.parse_value(bytearray([85]))
print(f"Battery: {level}%")  # Battery: 85%

# Encode value back to bytes
encoded = battery.build_value(85)

# Complex: IDE infers HeartRateData with full autocomplete
heart_rate = HeartRateMeasurementCharacteristic()
hr_data = heart_rate.parse_value(bytearray([0x00, 72]))
print(f"{hr_data.heart_rate} bpm")  # 72 bpm
print(f"Sensor contact: {hr_data.sensor_contact}")

Dynamic Parsing (for scanning unknown devices):

from bluetooth_sig import BluetoothSIGTranslator

translator = BluetoothSIGTranslator()

# Parse by UUID - returns the parsed value directly
result = translator.parse_characteristic("2A19", bytearray([85]))
print(f"Battery Level: {result}%")  # Battery Level: 85%

# Identify unknown UUIDs from device discovery
discovered_uuids = ["2A19", "2A6E", "2A37"]  # Example UUIDs
for uuid in discovered_uuids:
    if translator.supports(uuid):
        info = translator.get_characteristic_info_by_uuid(uuid)
        print(f"Found: {info.name}")

Library Capabilities

Feature Description
Characteristic Parsing Decode/encode 200+ GATT characteristics with type safety
Service Validation Check device compliance against SIG service specifications
Advertising Parsing Extract device name, service UUIDs, manufacturer data from PDUs
Device Abstraction High-level API combining connection management, parsing, and caching

See API Overview for detailed guidance.

Usage Examples

Device Abstraction (Recommended)

For applications, use the Device class for connection management and type-safe reads:

# SKIP: Requires actual BLE device connection
from bluetooth_sig import BluetoothSIGTranslator, Device
from bluetooth_sig.gatt.characteristics import BatteryLevelCharacteristic

# Connection manager from examples - use for your BLE backend
from examples.connection_managers.bleak_retry import BleakRetryClientManager


async def main():
    translator = BluetoothSIGTranslator()
    device = Device(BleakRetryClientManager("AA:BB:CC:DD:EE:FF"), translator)

    await device.connect()

    # Type-safe: IDE knows battery is int
    battery = await device.read(BatteryLevelCharacteristic)
    print(f"Battery: {battery}%")

    await device.disconnect()

Direct Characteristic Classes

When you know the characteristic type, use the class directly for full type inference:

from bluetooth_sig.gatt.characteristics import HeartRateMeasurementCharacteristic

# Complex: structured dataclass with autocompletion
heart_rate = HeartRateMeasurementCharacteristic()
hr_data = heart_rate.parse_value(bytearray([0x00, 72]))  # IDE infers HeartRateData
print(f"{hr_data.heart_rate} bpm")
encoded = heart_rate.build_value(hr_data)

Translator API (Device Scanning)

For scanning unknown devices or working with UUID strings:

from bluetooth_sig import BluetoothSIGTranslator

translator = BluetoothSIGTranslator()

# Discover and parse any characteristic by UUID
for char in client.services.characteristics:
    uuid_str = str(char.uuid)
    if translator.supports(uuid_str):
        raw_data = await client.read_gatt_char(uuid_str)  # SKIP: async
        parsed = translator.parse_characteristic(uuid_str, raw_data)
        info = translator.get_characteristic_info_by_uuid(uuid_str)
        print(f"{info.name}: {parsed}")  # parsed is the value directly (Any)
    else:
        print(f"Unknown characteristic UUID: {uuid_str}")

You can also pass a characteristic class to the translator for type-safe parsing:

from bluetooth_sig import BluetoothSIGTranslator
from bluetooth_sig.gatt.characteristics import TemperatureMeasurementCharacteristic

translator = BluetoothSIGTranslator()
raw_data = bytearray([0x00, 0xE4, 0x00, 0x00, 0x00])

# Type-safe via translator: IDE infers TemperatureMeasurementData
temp = translator.parse_characteristic(TemperatureMeasurementCharacteristic, raw_data)
print(f"{temp.temperature}°C")

Device Abstraction

Combines connection management with type-safe operations:

# SKIP: Requires connection manager implementation
from bluetooth_sig.device import Device
from bluetooth_sig.gatt.characteristics import HumidityCharacteristic

device = Device(connection_manager, translator)
await device.connect()

# Type-safe: IDE infers float from characteristic class
humidity = await device.read(HumidityCharacteristic)
print(f"Humidity: {humidity}%")

# Dynamic: returns Any when using enum/string
from bluetooth_sig.types.gatt_enums import CharacteristicName
result = await device.read(CharacteristicName.TEMPERATURE)

→ See comprehensive usage guide for real-world patterns, batch parsing, and validation control.

What This Library Does

Enables high-level Bluetooth applications without low-level expertise:

  • UUID abstraction - Resolves unknown UUIDs to characteristic types; provides enum/class access for known characteristics
  • Automatic encoding/decoding - Converts between raw bytes and typed Python objects using standards-compliant parsing
  • Type-safe data structures - Returns structured data objects instead of raw byte arrays (e.g., VectorData, TemperatureMeasurement)
  • Framework-agnostic design - Works with any BLE library (bleak, simplepyble, etc.) using a common connection manager interface
  • Standards-based parsing - 200+ GATT characteristics according to official Bluetooth SIG specifications
  • Extensible - Supports custom characteristics and services with the same type-safe patterns

What This Library Does NOT Do

  • BLE transport layer - Requires a BLE library (bleak, simplepyble, etc.); but this lib provides Device class abstraction over these libraries
  • Firmware implementation - Client-side parsing and encoding only

Learn more about what problems this solves →

Integration with BLE Libraries

Quick integration with any BLE library using the translator directly:

# SKIP: Requires BLE hardware and connection setup
from bleak import BleakClient
from bluetooth_sig import BluetoothSIGTranslator
from bluetooth_sig.types.gatt_enums import CharacteristicName

translator = BluetoothSIGTranslator()

# Get UUID from characteristic name (do once, reuse)
battery_uuid = translator.get_characteristic_uuid_by_name(CharacteristicName.BATTERY_LEVEL)

async with BleakClient(address) as client:
    # Read: bleak handles connection, bluetooth-sig handles parsing
    raw_data = await client.read_gatt_char(str(battery_uuid))
    level = translator.parse_characteristic(str(battery_uuid), raw_data)
    print(f"Battery: {level}%")

    # Write: bluetooth-sig handles encoding, bleak handles transmission
    data = translator.encode_characteristic(str(battery_uuid), 85)
    await client.write_gatt_char(str(battery_uuid), data)

Recommended: Implement the connection manager interface to use the Device class for BLE-library-agnostic design.

→ See BLE integration guide for connection manager implementation examples with bleak, bleak-retry-connector, and simplepyble.

Supported Characteristics

200+ GATT characteristics across multiple categories:

  • Battery Service: Level, Power State
  • Environmental Sensing: Temperature, Humidity, Pressure, Air Quality
  • Health Monitoring: Heart Rate, Blood Pressure, Glucose
  • Fitness Tracking: Running/Cycling Speed, Cadence, Power
  • Device Information: Manufacturer, Model, Firmware Version
  • And many more...

View full list of supported services →

Documentation

Contributing

Contributions are welcome! Please see the Contributing Guide for details.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Links

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