* graphPaname

graphPaname is a system that collects real-time data, relevant to the COVID-19 pandemic de-escalation,  from the city of Paris.

It works with 4 datasets about the de-escalation:

- Retailers with home delivery
- Additional parking places in relay parkings (parkings connected to public transportation)
- Temporary cycling paths
- Temporary pedestrian streets

For each dataset, we offer a table with the data, and a map of Paris with markers. Additionally, there's a section with photos related to the COVID-19 pandemic.

** Technologies

- Flask
- Pandas
- Folium
 
** Data sources

- [[https://opendata.paris.fr/pages/home/][Open Data]]
- [[https://www.openstreetmap.org/][OpenStreetMap]]
- [[https://flickr.com][Flickr]]

** Requirements

- Nix
 
** Installation

1. Install Nix (compatible with Nix and Linux):

#+BEGIN_SRC shell
curl -L https://nixos.org/nix/install | sh
#+END_SRC

There are alternative installation methods, if you don't want to pipe curl to sh

2. Clone the repository:

#+BEGIN_SRC shell
git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname
#+END_SRC

2. Change the working directory to the project:

#+BEGIN_SRC shell
cd graphPaname
#+END_SRC

3. Enter the nix-shell:

#+BEGIN_SRC shell
nix-shell
#+END_SRC

4. Run flask:

#+BEGIN_SRC shell
flask run
#+END_SRC

The website can be accessed via *localhost:5000*