This pypi package is parsing BLE advertisements to readable data for several sensors and can be used for device tracking (by (fixed) MAC address or by UUID). The parser was originally developed as part of the BLE monitor custom component for Home Assistant, but can now be used for other implementations. The package does NOT take care of the data collecting of the BLE advertisements, you can use other packages like aioblescan or bleson to do that part. An example is given in the examples folder.

pip install bleparser

Supported sensor brands

• Acconeer
• Air Mentor
• Amazfit
• ATC (custom firmware for Xiaomi/Qingping sensors)
• BlueMaestro
• Brifit
• BTHome
• b-parasite
• Govee
• HHCC
• Inkbird
• iNode
• Jaalee
• Jinou
• Kegtron
• KKM
• Mikrotik
• Moat
• Oral-B
• Qingping
• Relsib
• Ruuvitag
• Sensirion
• SensorPush
• SmartDry
• Switchbot
• Teltonika
• Thermoplus
• Thermopro
• Tilt
• Xiaogui (Scale)
• Xiaomi (MiBeacon)
• Xiaomi (MiScale)

A full list of all supported sensors can be found on the BLE monitor documentation

When using default input parameters, you can use bleparser with raw BLE data as follows (more working examples below).

ble_parser = BleParser()
sensor_msg, tracker_msg = ble_parser.parse_raw_data(data)

You can set optional parameters, the example below shows all possible input parameters with default values.

ble_parser = BleParser(
    report_unknown=False,
    discovery=True,
    filter_duplicates=False,
    sensor_whitelist=[],
    tracker_whitelist=[],
    aeskeys={}
    )
sensor_msg, tracker_msg = ble_parser.parse_raw_data(data)

It is also possible to use advertisement data directly.

ble_parser = BleParser()
sensor_data, tracker_data = self.parse_advertisement(
    mac,
    rssi,
    service_class_uuid16,
    service_class_uuid128,
    local_name,
    service_data_list,
    man_spec_data_list
)

service_data_list and man_spec_data_list have to be in a list, as a BKE advertisement can contain multiple service data/manufacturer specific data packets.

report_unknown

Report unknown sensors. Can be set to Acconeer, Air Mentor, Amazfit, ATC, b-parasite, BlueMaestro, Brifit, BTHome, Govee, HHCC, Inkbird, iNode, Jaalee, Jinou, Kegtron, KKM, Mikrotik, Moat, Mi Scale, Oral-B, Qingping, Relsib, Ruuvitag, SensorPush, Sensirion, SmartDry, Switchbot, Teltonika, Thermoplus, Thermopro, Tilt, Xiaogui or Xiaomi to report unknown sensors of a specific brand to the logger. You can set it to Other to report all unknown advertisements to the logger. Default: False

discovery

Boolean. When set to False, only sensors in sensor_whitelist will be parsed. Default: True

filter_duplicates

Boolean. Most sensors send multipe advertisements with the exact same data, to increase reception quality. When set to True, it will filter duplicate advertisements based on a packet_id that is send by the sensor. Only one advertisement will be parsed if it has the same packet_id. Note that not all sensors have packet_ids. Default: False

sensor_whitelist

List with MAC addresses or UUIDs of devices that are being parsed, if discovery is set to False. If discovery is set to True, all supported sensors will be parsed. Default: []

tracker_whitelist

List with devices (MAC addresses or UUIDs) to track. Default: []

aeskeys

Dictionary with mac + encryption key pairs, for sensors that require an encryption key to decrypt the payload. Default: {}

The parser result are two two dictionaries, one with sensor data (e.g. temperature readings) and one with tracking data.

The following minimal example shows how to extract the sensor measurements out of a (supported) BLE advertisement:

from bleparser import BleParser

data_string = "043e2502010000219335342d5819020106151695fe5020aa01da219335342d580d1004fe004802c4"
data = bytes(bytearray.fromhex(data_string))

ble_parser = BleParser()
sensor_msg, tracker_msg = ble_parser.parse_raw_data(data)
print(sensor_msg)

The output of sensor_msg is:

{'rssi': -60, 'mac': '582D34359321', 'type': 'LYWSDCGQ', 'packet': 218, 'firmware': 'Xiaomi (MiBeacon V2)', 'data': True, 'temperature': 25.4, 'humidity': 58.4}

If the advertisements can be parsed, it will always show the rssi, mac, type, packet, firmware and data fields. Additional fields with the measurements, like temperature and humidity will be available depending on the sensor type.

A minimal example for tracking BLE devices is shown below. To prevent tracking of all devices that pass by, you will have to specify a whitelist with devices that you want to track. This needs to be a list with MAC addresses in lower case, without :.

from bleparser import BleParser

data_string = "043e2502010000219335342d5819020106151695fe5020aa01da219335342d580d1004fe004802c4"
data = bytes(bytearray.fromhex(data_string))

tracker_whitelist = []
track_mac = "58:2D:34:35:93:21"
track_mac = bytes.fromhex(track_mac.replace(":", ""))
tracker_whitelist.append(track_mac.lower())

ble_parser = BleParser(tracker_whitelist=tracker_whitelist)
sensor_msg, tracker_msg = ble_parser.parse_raw_data(data)
print(tracker_msg)

The result is:

{'is connected': True, 'mac': '582D34359321', 'rssi': -60}

The output is always showing the mac, rssi and if it is connected.