Breathe coding challenge - Dana Weetman

Outputs

• Outputs will be found in a directory named after the device_id entered.
• The data folder contains a data dump of all relevant info, sorted per day
• The reports folder contains two files: one for daily statistics - daily_stats, and one for times pollution exceeded the danger threshold - dangers.

Getting Started

Installing

• Install requirements:

pip install -r requirements.txt

• Run the program from the /pipeline directory

Executing program

• Use the pipeline function in main.py using the device_id(s) needed
• The pipeline runs for a single device
• Modify under if __name__ == "__main__": as suited or run an example pipeline with:

python3 main.py

OR

• Run the pipeline for a specific device from the command line:

python3 main.py -d <device_id>

(Given instructions)

• We would like you to implement a small program to read live data from the public API PM2.5 Open Data Portal , perform some simple analysis on it, and generate a report.
• Your program should read the data for a device using the /device/<device_id>/history/ endpoint
• Save the data into local persistent storage (what solution you use is up to you)
• detect periods where the PM2.5 level goes above the threshold of 30
• output a report containing:
  • a list of times when the level when above the danger threshold
  • the daily maximum, daily minimum, and daily average pollution value
• If new data becomes available from the API, your solution should insert any new data into the local storage, maintaining any data that is already there.
• Please deliver the source code in a git repository (it is fine to deliver it in a zip archive).
• We should be able to run your code without any changes, and see the results.
• Your solution should be to the quality you would expect for a production application, inasmuch as the time allows.