AirQo-api/src/calibrate

Calibrate microservice

To run in a virtual environment.

1. Add file airqo-250220-5149c2aac8f2.json to jobs/. Obtain from a team member or GCP.
2. Create a virtual environment
3. pip install -r requirements.txt
4. flask run

To build and run with docker desktop.

(Uses "production" dockerfile.)

1. Add file airqo-250220-5149c2aac8f2.json to jobs/. Obtain from a team member or GCP.
2. docker build --target=dev -t calibrate .
3. docker run -d -p 4001:4001 --env FLASK_APP=app.py --env FLASK_ENV=development --env MONGO_URI=mongodb://localhost:27017 calibrate

It is implicit that mongodb should be installed and running.

Calibrate Tool Endpoint

Make a POST request to http://localhost:4001/api/v1/calibrate_tool using form data: Form must contain:

• A csv file containing the data you want to calibrate.
• Mapping for datetime, pm2_5, s2_pm2_5, pm10, s2_pm10, humidity, temperature.

Sample contents for csv file containing uncalibrated data

Link to the sample file

Sample form data