CycleLaneCounter: A Python repository from JonFreer

Setup

Create a .env file using the example.env template:
```
cp example.env .env
```
You will need to fill in any missing fields, such as the OAuth scope stuff for both Twitter and the Vivacity API.

For Twitter make sure your app has both read and write privileges.
Run pip install to install the required depencencies
```
pip install -r
```
Install Chromium and make sure it is in the path. Chromium is used to take screenshots of the webpage. https://www.chromium.org/getting-involved/download-chromium/

We want to run this application in the background. This can be done by running the following

  nohup python3 cycle_tweeter.py &

In order to stop, first find the process id, and then kill the process.

ps ax | grep cycle_tweeter.py
kill -9 {pid}

The bot executes a series of steps:

First, it calls the vivacity API within a certain time range
It then filters the returned json to remove None values
It then aggregates the data in to hourly pools
The hourly data is exported to hourly.js along with the date of the data.
Chromium takes a screenshot of index.html, which is a webpage displaying the graph and stats
TwitterMedia is used to upload the screenshot returning a MediaID
The tweet is then posted using Tweepy

Schedule is used to trigger the pipeline.