This project contains 51Degrees Device Detection OnPremise engine that can be used with the 51Degrees Pipeline API. The Pipeline is a generic web request intelligence and data processing solution with the ability to add a range of 51Degrees and/or custom plug ins (Engines)
Project description
51Degrees Device Detection Engines - On-Premise
v4 Device Detection Python
Developer Documentation | Available Properties
Introduction
This project contains the 51Degrees On-Premise Device Detection Engines for Python which can be used with the Pipeline API.
The Pipeline is a generic web request intelligence and data processing solution with the ability to add a range of 51Degrees and/or custom plug ins (Engines)
This engine is a C++ library with a Python wrapper built using SWIG.
Requirements
- Python 3.8+
- One of the following supported platforms:
- Windows Server 2019 / Windows 10
- Ubuntu 18.04
- MacOS X Mojave 10.14
- C/C++ Compiler
- VS2015+
- GCC 7.4+
- Clang/LLVM 11.0.0+
- The 'atomic' library on Linux platform for GCC
- The
Cython
python library - The
flask
python library to run the web examples - Python3 Dev Package is also required to build extensions on Linux and MacOS
Installation
The extension requires that you have set up the required build tools for your platform.
Prerequisites
Windows
From PyPi
pip install fiftyone_devicedetection_onpremise
You can confirm this is working with the following micro-example.
- Run the example with
python exampledd.py
- Feel free to try different user-agents and property values.
from fiftyone_devicedetection_onpremise.devicedetection_onpremise_pipelinebuilder import DeviceDetectionOnPremisePipelineBuilder
pipeline = DeviceDetectionOnPremisePipelineBuilder(
data_file_path = /path/to/hash/data/file, licence_keys = "",
).build()
fd = pipeline.create_flowdata()
fd.evidence.add("header.user-agent", "Mozilla/5.0 (iPhone; CPU iPhone OS 12_2 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148")
fd.process()
print(fd.device.ismobile.value())
For more in-depth examples, check out the examples page in the documentation.
From GitHub
If you've cloned the GitHub repository, you will need to build the extension. Make sure Python3 Dev Package is installed if you are using Linux or MacOS.
cd fiftyone_devicedetection_onpremise/
python setup.py build_clib build_ext
python -m pip install -e .
Examples
If you've cloned the GitHub repository, you will be able to run the examples in the fiftyone_devicedetection_examples
directory.
Tests
To run the tests use:
python -m unittest discover -s tests -p test*.py -b
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