yk-aws-application

This is a Django project created for demonstrating the implementation of shadow analysis.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and deployment purposes.

Prerequisites

What things you need to install the software and how to install them:

• Python (version 3.8)

Installing

A step by step series of examples that tell you how to get a development env running:

1. Download the repository as ZIP.

2. Move to the application directory.

3. Install ipykernel by the following command: <pip install ipykernel> OR <conda install -c anaconda ipykernel>

4. Create conda virtual environment <conda create -n awsapplication python=3.8.5>

5. Activate the conda virtual environment <conda activate awsapplication>

6. Install Jupyter Notebook <pip install notebook>

7. Update Kernel into Jupyter Notebook
   <python -m ipykernel install --user --name awsapplication --display-name awsapplication>

8. Install the dependencies

   pip install -r webapp/requirements.txt

   The requirements.txt file should contain the following packages:

   django==3.2

   numpy==1.21.2

   pvlib==0.8.0

   mapbox==0.18.0

   matplotlib==3.4.3

   pymongo[srv]==4.0.1

   rasterio

   plotly==5.3.1

   python-dotenv==0.19.2

   django-cors-headers==3.8.0

   pandas==1.3.3

   scipy==1.7.3

9. Apply the migrations python manage.py makemigrations python manage.py migrate

10. Start the development server python manage.py runserver

11. Visit http://localhost:8000 in your browser to view the project.