btdx 0.0.3

Designed to interact with the Milton Keynes' BT DX platform

BTDX Library

The btdx library is designed to interact with the Milton Keynes' BT Data Exchange Platform. This README provides a guide on how to install, set up, and effectively use the DX class.

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Table of Contents

• Installation
• Usage
  • 1. Initialization
  • 2. Posting Data
  • 3. Getting Data
• Contributing
• License

Installation

• From PyPI (Python Package Index)

  You can install the btdx library using pip. Make sure you have python >= 3.8 and pip installed on your machine, then,

  pip install btdx
  

• From source

  To install btdx from source, clone the repository from here. In your terminal type:

  pip install .
  

  or in editable mode

  pip install -e .
  

  You will also need requests to use btdx

  pip install requests
  

Usage

To use the btdx, you need to create an instance of DX first. Then use either post method to ingest data or get method to retrieve data

1. Initialization

   To create an instance of DX, provide your API key, feed ID, and optionally a version number.

   from btdx import DX  # Make sure to import the DX class from the module
   api_key = "your_api_key"     # Your API key
   feed_id = "your_feed_id"     # The feed ID you want to interact with
   version = 1                  # Optional: Version number (default is 1)
   response = DX(api_key, feed_id, version)
   

2. Posting Data

   You can post data to a specific stream by calling the post method. You need to provide the stream ID and the data you want to post.

   stream_id = "100"           # The ID of the stream you want to post data to
   data =  "AQI: 2"         # The value you want to post
   response.post(stream_id=stream_id, data=data)
   

3. Getting Data

   To retrieve data from a specific stream, use the get method. You can specify the stream ID and whether you want to display the data.

   stream_id = "100"           # The ID of the stream you want to get data from
   # Retrieve and display data
   response.get(stream_id=stream_id, display=True)
   

   You can also pass optional parameters such as agregate.

    # Retrieve last 100 values between a date range and display data, if no range is provided last 100 values from current time will be obtained.
   
    start="YYYY-MM-DD"
    end="YYYY-MM-DD"
    response.get(stream_id=stream_id, start=start, end=end, display=True, agregate=True)
   

Contributing

Contributions are welcome! If you find any issues or have suggestions for improvements, feel free to submit a pull request or open an issue.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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