Plant Recommender Backend

Web app for the Homeplant Recommender System project in Data Integration 22/23 at WWU Münster

Installation and Setup

Getting started

Prerequisites

• Python 3.11
  • We recommend to use miniforge (or miniconda). Since you can manage Python versions and virtual environments with it. Follow the setup steps below if you use miniforge (or miniconda)
  • after successful installation of miniforge (or miniconda) the command conda should be available
  • follow the setup guide from step 4 if you use another method of managing virtual environments
• Setup project and install dependencies
  1. cd into this directory
  2. Create virtual environment for project: conda create --name plant-recommender-backend python=3.11
  3. Activate virtual environment of project: conda activate plant-recommender-backend
  4. Install dependencies: pip install -r requirements.txt
• Run API server
  1. cd into this directory
  2. Activate virtual environment of project: conda activate plant-recommender-backend
  3. Run server: uvicorn main:app --reload

Data Preparation Stuff (Optional):

• Run scraper: python scrapers/how_many_plants_scraper.py -> exports to scrapers/...
• Start jupyter server: jupyter notebook