The Platform API Getting Started Guide

• This README will guide you through the steps required to try out the Platform API from General System.

• OpenAPI endpoint to access the Data Flow Index (DFI) is available at https://api.dataflowindex.io/docs/api.

• Additional resources and support are available at https://support.generalsystem.com.

Repository Overview

In this quickstart-guide repository you can find a range of Jupyter Notebooks written in Python with a range of examples of interactions with the DFI platform.

All the notebooks connect to the API via the client library requests. For a more ergonomic approach to connect with a DFI instance, you can also consider the library dfipy providing direct API wrappers written in python, as well as the related examples repository dfipy-examples.

Step 1: Obtain your API token

Access to the demonstration datasets requires an API token, which can be obtained contacting General System www.generalsystem.com.

1. Enroll at https://eap.generalsystem.com if you have not done so already.
2. Check your inbox for a confirmation email and click the URL link to redeem your API token.
3. Additional or replacement API tokens may be obtained from visiting https://tokens.dataflowindex.io/.

Step 2: Launch a Jupyter Notebook

The Jupyter Notebooks may be downloaded and installed locally, or alternatively there are a number of free online options.

Running On Cloud

To get started, we recommend Google Colab.

Open the Quick Start guides directly in Google Colab:

1. dfi_quick_start_geolife.ipynb
2. dfi_quick_start_sys_traffic.ipynb
3. dfi_quick_start_add_new_data.ipynb

Using https://mybinder.org:

1. Open https://mybinder.org/ in your browser.
2. Enter https://github.com/thegeneralsystem/quickstart-guide into the GitHub repository field.
3. Click the launch button.

Our example notebooks make use of the following Python libraries:

• requests - a simple HTTP library
• sseclient - used for iterating over HTTP Server Sent Event streams
• tabulate - used to pretty-print data in a tabular format
• pydeck - bindings for making spatial visualizations with <deck.gl>
• pandas - used for making spatial visualizations

Or you can use the dfipy python library wrappers. Its list of dependencies can be found here.

Running Locally

Follow the installation instructions at https://jupyter.org/install#jupyter-notebook:

python3 -m pip install dfipy
python3 -m pip install notebook
jupyter notebook

Step 3: Running the example notebooks

Once you have opened the example notebooks from the GitHub URL https://github.com/thegeneralsystem/quickstart-guide, simply follow the guidance contained within each notebook. You will need to provide your Platform API token to run the code.

The example notebooks in the quick_start_guides/ folder are as follows:

Notebook	Description
dfi_quick_start_geolife.ipynb	API basics; query a small GeoLife dataset of 25 million records
dfi_quick_start_sys_traffic.ipynb	Query a large synthetic traffic dataset of 92 billion records using a streaming API
dfi_quick_start_add_new_data.ipynb	Insert data into an instance

Step 4: consider also the dfipy client library

In this quickstart tutorial, you have seen how to access DFI, directly querying on the exposed endpoints via requests.

Within DFI we also provide a open source API wrapper: dfipy This Python package provides a layer of abstraction over the Web API, returning responses in Pandas dataframes. For examples of the usage of dfipy you can look under the examples notebooks.

Licence

• Copyright (c) 2023, General System Group Limited.
• DFIPyExamples is provided as it is and copyrighted under Apache2 License.
• DFIPyExamples is publicly available on github strictly for testing and evaluation purposes.