Time Series Data Handling and API Development

Task Description

Turbine 1: https://nextcloud.turbit.com/s/GTbSwKkMnFrKC7A Turbine 2: https://nextcloud.turbit.com/s/G3bwdkrXx6Kmxs3

Load time series data from the CSV files above into a MongoDB collection and make the data accessible through the FastAPI.

1. Data Preparation and Loading into MongoDB Develop a python script to read the data from the CSV files and load it into a single MongoDB collection.

2. Add FastAPI Endpoint Add an FastAPI endpoint that allows to retrieve the data based on turbine id and time ranges

3. Create a Webapp Use React to create a power curve plot (power over wind speed) where one can adjust the plotting date range.

Local Development

To create a python virtual environment:

pyenv install 3.12.3
pyenv local 3.12.3
python3 -m venv .venv
source .venv/bin/activate

To install the dependencies:

pip install -r requirements.txt

To run MongoDB locally, you can use Docker. MongoDB will be available at mongodb://root:example@localhost:27017.:

docker compose up -d

To run the FastAPI application, use uvicorn. To test the app, you can visit http://localhost:8000/docs:

uvicorn app.main:app --reload

To run the data retrieval script:

python data_retrieval/load_data.py

To tear down the MongoDB container, use the following command:

docker compose down

To run the react app, use the following command. The power curve app will be available at http://localhost:3000.:

cd power-curve-app
npm start