fiftyone-devicedetection 4.0.3

The 51Degrees Pipeline API 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 project contains 51Degrees Device Detection engines that can be used with the Pipeline API

v4 Device Detection Python

Pipeline Documentation | Available Properties

Introduction

This project contains 51Degrees Device Detection engines that 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)

Requirements

• Python 2.7 or Python 3
• The flask python library to run the web examples

Installation and Examples

From PyPI

pip install fiftyone_devicedetection

You can confirm this is working with the following micro-example.

• Create a resource key for free with the 51Degrees configurator. This defines the properties you want to access.
• On the 'implement' page of the configurator, copy the resource key and replace YOUR_RESOURCE_KEY in the example below. Save this as exampledd.py
• Run the example with python exampledd.py
• Feel free to try different user-agents and property values.

from fiftyone_devicedetection.devicedetection_pipelinebuilder import DeviceDetectionPipelineBuilder
pipeline = DeviceDetectionPipelineBuilder({"resourceKey": "YOUR_RESOURCE_KEY"}).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 be able to run the examples directly:

python3 -m examples.cloud.gettingstarted

To run the web example:

Linux

Execute export FLASK_APP= with the name of the web example file, then flask run.

Windows

Execute $env:FLASK_APP = "x" with the name of the example file, then flask run.