Bluetooth Data Tools
Tools for converting bluetooth data and packets
Installation
Install this via pip (or your favourite package manager):
pip install bluetooth-data-tools
Usage
Parsing BLE GAP Advertisement Data
Parse raw BLE advertisement bytes into structured data:
from bluetooth_data_tools import parse_advertisement_data_bytes
# Parse raw GAP advertisement bytes
parsed = parse_advertisement_data_bytes(raw_bytes)
local_name = parsed[0] # str | None
service_uuids = parsed[1] # list[str]
service_data = parsed[2] # dict[str, bytes]
manufacturer_data = parsed[3] # dict[int, bytes]
tx_power = parsed[4] # int | None
Or use the object-oriented interface:
from bluetooth_data_tools import BLEGAPAdvertisement, parse_advertisement_data
adv = parse_advertisement_data([raw_bytes1, raw_bytes2])
print(adv.local_name)
print(adv.service_uuids)
print(adv.service_data)
print(adv.manufacturer_data)
print(adv.tx_power)
Bluetooth Address Utilities
from bluetooth_data_tools import (
int_to_bluetooth_address,
mac_to_int,
short_address,
human_readable_name,
)
# Convert integer to MAC address
int_to_bluetooth_address(0x123456789ABC)
# "12:34:56:78:9A:BC"
# Convert MAC address to integer
mac_to_int("FF:FF:FF:FF:FF:FF")
# 281474976710655
# Get short address (last 2 octets)
short_address("AA:BB:CC:DD:EE:FF")
# "EEFF"
# Format a human-readable device name
human_readable_name("My Sensor", "", "AA:BB:CC:DD:EE:FF")
# "My Sensor (EEFF)"
Distance Estimation
Estimate distance from TX power and RSSI:
from bluetooth_data_tools import calculate_distance_meters
distance = calculate_distance_meters(power=-59, rssi=-60)
# ~1.135 meters
Monotonic Time
A fast monotonic clock optimized for Bluetooth event timing. On Linux, uses CLOCK_MONOTONIC_COARSE via Cython for lower overhead:
from bluetooth_data_tools import monotonic_time_coarse
now = monotonic_time_coarse()
Private Address Resolution (RPA)
Resolve Bluetooth Low Energy random private addresses using an Identity Resolving Key:
from bluetooth_data_tools import get_cipher_for_irk, resolve_private_address
cipher = get_cipher_for_irk(irk_bytes) # 16-byte Identity Resolving Key
is_match = resolve_private_address(cipher, "40:01:02:0A:C4:A6")
Contributors ✨
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
Credits
This package was created with Cookiecutter and the browniebroke/cookiecutter-pypackage project template.
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