Metadata-Version: 2.1
Name: fiftyone_devicedetection_onpremise
Version: 4.3.5
Summary: This project contains 51Degrees Device Detection OnPremise engine 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)
Home-page: UNKNOWN
Author: 51Degrees.com
Author-email: support@51degrees.com
License: EUPL-1.2
Description: # 51Degrees Device Detection Engines - On-Premise
        
        ![51Degrees](https://51degrees.com/DesktopModules/FiftyOne/Distributor/Logo.ashx?utm_source=github&utm_medium=repository&utm_content=readme_main&utm_campaign=python-open-source "THE Fastest and Most Accurate Device Detection") **v4 Device Detection Python**
        
        [Developer Documentation](https://51degrees.com/device-detection-python/index.html?utm_source=github&utm_medium=repository&utm_content=property_dictionary&utm_campaign=python-open-source "Developer Documentation") | [Available Properties](https://51degrees.com/resources/property-dictionary?utm_source=github&utm_medium=repository&utm_content=property_dictionary&utm_campaign=python-open-source "View all available properties and values")
        
        ## 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](http://www.swig.org/).
        
        ## Requirements
        
        * Python 3.5+
        * 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.
        
        ```python
        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](https://51degrees.com/device-detection-python/examples.html) 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.
        
        ```bash
        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`
        
Platform: UNKNOWN
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