Install pyenv with the pyenv installer, configure your shell (log out and log back in for changes to take effect):
# Install pyenv
curl https://pyenv.run | bash
# Configure shell
echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.profile
echo 'export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.profile
echo 'eval "$(pyenv init --path)"' >> ~/.profile
echo 'eval "$(pyenv init -)"' >> ~/.bashrc
echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bashrc
For install on macos see: https://github.com/pyenv/pyenv
Install and activate Python version specified in .python-version with pyenv:
# Install and activate Python version
pyenv install
# If the command fails and you are using an Apple Silicon Mac use instead
arch -arm64 pyenv install
# Check Python version
pyenv version
Install R on system, see: https://cran.r-project.org/
Create project environment, install dependencies and activate the environment in your shell:
# Configure Poetry to create environments in project directories (OPTIONAL)
poetry config virtualenvs.in-project true
# Create project environment
poetry env use $(which python)
# Install dependencies
poetry install
# Activate project environment
poetry shell
Create environment variables for connection to influxdb if not running on default path localhost:8086:
export $INFLUX_HOST=<hostname>
export $INFLUX_PORT=<port>Install R dependencies with Rscript ./requirements/requirements.R and R-Python dependencies with pip install -r ./requirements/requirements.txt
Run application for dev with: uvicorn src.main:app --reload
For local development it can be necessary to run a influxdb and have some example data in the database.
InfluxDB have to be run in version 1.8. To run influxdb via docker use the following command: docker run -p 8086:8086 influxdb:1.8.
To add data you have to create a database. First attach to docker container with docker exec -it <containername> /bin/bash to
run a shell inside container.
Then connect to influxdb via command influx.
After that create the database
with name "aggregation" by typing CREATE DATABASE aggregation. If the command run successfully there is no message display.
In case of an error it would be shown.