lighten-up-calgary

A playground for YYC Christmas light displays

Environment

Create a virtual environment.

python -m venv .venv
.\.venv\Scripts\activate

Then install dependencies.

pip install -r .\requirements.txt

Use pip install -r requirements-dev.txt for development.

IMPORTANT: You need a GCP API key for geocoding and MapQuest API key to get the optimized route.

Create a .env file to store your GCP API key and MapQuest API key.

# .env
# required
MAPQUEST_KEY="xxx"
GCP_KEY="yyy"

python .\crawl.py 2020

Address data will be saved in 2020.json located at the data folder. Addresses come with latitude/longitude and are formatted.

python .\display.py

Interactive html files display.html and route.html will be saved at the output folder.

Given a starting location and a list of addresses, find the best route to see all light displays (route.html)

Estimated time for the trip is printed in the console.
Simply show all the light displays (display.html)

python .\app.py

Name		Name	Last commit message	Last commit date
Latest commit History 294 Commits
.github/workflows		.github/workflows
.vscode		.vscode
data		data
examples		examples
static		static
templates		templates
.gitignore		.gitignore
LICENSE		LICENSE
Procfile		Procfile
Procfile.windows		Procfile.windows
README.md		README.md
app.py		app.py
crawl.py		crawl.py
display.py		display.py
forms.py		forms.py
lighten_up_calgary_2020.py		lighten_up_calgary_2020.py
lighten_up_calgary_2021.py		lighten_up_calgary_2021.py
lighten_up_calgary_2022.py		lighten_up_calgary_2022.py
lighten_up_calgary_2023.py		lighten_up_calgary_2023.py
requirements-dev.txt		requirements-dev.txt
requirements.txt		requirements.txt
runtime.txt		runtime.txt
settings.py		settings.py
source.py		source.py