Python3 port of matomo's Device Detector
Project description
UA-Extract
UA-Extract is a precise and fast user agent parser and device detector written in Python, backed by the largest and most up-to-date user agent database, built on top of existing library device_detector.
UA-Extract will parse any user agent and detect the browser, operating system, device used (desktop, tablet, mobile, tv, cars, console, etc.), brand and model. DeviceDetector detects thousands of user agent strings, even from rare and obscure browsers and devices.
The UA-Extract is optimized for speed of detection, by providing optimized code and in-memory caching.
This project originated as a Python port of the Universal Device Detection library. You can find the original code https://github.com/pranavagrawal321/UA-Extract.
Disclaimer
This port is not an exact copy of the original code; some Pythonic adaptations were used. However, it uses the original regex yaml files, to benefit from updates and pull request to both the original and the ported versions.
Installation
pip install ua_extract
Performance Options
CSafeLoader is used if pyyaml is configured --with-libyaml.
The mrab regex module is preferred if installed.
Usage
The regexes can outdated and may not provide correct output for newly released devices, so it's recommended to update regexes every once in a while.
from ua_extract import Regexes
Regexes().update_regexes()
This can also be done using CLI
ua_extract update_regexes
Note:
This requires Git to be installed and accessible as in to pull the updated regexes.
To get all info about the useragent.
from ua_extract import DeviceDetector
ua = 'Mozilla/5.0 (Linux; Android 4.3; C5502 Build/10.4.1.B.0.101) google/1.0 AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.136 Mobile Safari/537.36'
device = DeviceDetector(ua).parse()
print(device)
To get specific information.
from ua_extract import DeviceDetector
ua = 'Mozilla/5.0 (Linux; Android 4.3; C5502 Build/10.4.1.B.0.101) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/33.0.1750.136 Mobile Safari/537.36'
device = DeviceDetector(ua).parse()
device.is_bot()
device.os_name()
device.os_version()
device.engine()
device.device_brand_name()
device.device_brand()
device.device_model()
device.device_type()
For much faster performance, skip Bot and Device Hardware Detection and extract get OS / App details only.
from ua_extract import SoftwareDetector
ua = 'Mozilla/5.0 (Linux; Android 6.0; 4Good Light A103 Build/MRA58K) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.83 Mobile Safari/537.36'
device = SoftwareDetector(ua).parse()
device.client_name()
device.client_short_name()
device.client_type()
device.client_version()
device.os_name()
device.os_version()
device.engine()
device.device_brand_name()
device.device_brand()
device.device_model()
device.device_type()
Many mobile browser UA strings contain the app info of the APP that's using the browser
ua = 'Mozilla/5.0 (iPhone; CPU iPhone OS 12_1_4 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/16D57 EtsyInc/5.22 rv:52200.62.0'
device = DeviceDetector(ua).parse()
device.secondary_client_name()
device.secondary_client_type()
device.secondary_client_version()
Updating from Matomo project
- Clone the Matomo project.
- Iterate through the various commits and copy the fixture files with the commands below.
- Review logic changes in the PHP files and implement them in the Python code.
- Run the tests and fix the ones that fail.
export upstream=/path/to/cloned/matomo/device-detector
export pdd=/path/to/python/ported/device_detector
cp $upstream/regexes/device/*.yml $pdd/device_detector/regexes/upstream/device/
cp $upstream/regexes/client/*.yml $pdd/device_detector/regexes/upstream/client/
cp $upstream/regexes/*.yml $pdd/device_detector/regexes/upstream/
cp $upstream/Tests/fixtures/* $pdd/device_detector/tests/fixtures/upstream/
cp $upstream/Tests/Parser/Client/fixtures/* $pdd/device_detector/tests/parser/fixtures/upstream/client/
cp $upstream/Tests/Parser/Device/fixtures/* $pdd/device_detector/tests/parser/fixtures/upstream/device/
NOTE:
This project is the clone of the Device Detector project by thinkwelltwd. The base code is same as before with some minor modifications as per requirements.
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