2020-02-27 01:12:56 +01:00
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* graphPaname
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2020-06-15 19:42:20 +02:00
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graphPaname is a system that collects real-time data, relevant to the COVID-19 epidemic de-escalation, from the city of Paris.
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It works with 4 datasets about the de-escalation:
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- Retailers with home delivery
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- Additional parking places in relay parkings (parkings connected to public transportation)
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- Temporary cycling paths
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- Temporary pedestrian streets
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For each dataset, we offer a table with the data, and a map of Paris with markers.
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** Technologies
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- Flask
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- Pandas
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- Folium
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** Data sources
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- [[https://opendata.paris.fr/pages/home/][Open Data]]
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- [[https://www.openstreetmap.org/][OpenStreetMap]]
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- [[https://flickr.com][Flickr]]
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** Requirements
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- Nix
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** Installation
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1. Install Nix (compatible with Nix and Linux):
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#+BEGIN_SRC shell
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curl -L https://nixos.org/nix/install | sh
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#+END_SRC
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There are alternative installation methods, if you don't want to pipe curl to sh
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2. Clone the repository:
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#+BEGIN_SRC shell
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git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname
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#+END_SRC
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2. Change the working directory to the project:
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#+BEGIN_SRC shell
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cd graphPaname
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#+END_SRC
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3. Enter the nix-shell:
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#+BEGIN_SRC shell
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nix-shell
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#+END_SRC
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4. Run flask:
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#+BEGIN_SRC shell
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flask run
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#+END_SRC
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The website can be accessed via *localhost:5000*
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