bluetooth-data-tools 1.29.1

Tools for converting bluetooth data and packets

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.