81 lines
1.4 KiB
Markdown
81 lines
1.4 KiB
Markdown
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graphPaname
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===========
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graphPaname is a system that collects real-time data, relevant to the
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COVID-19 pandemic 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
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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
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with markers. Additionally, there\'s a section with photos related to
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the COVID-19 pandemic.
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Technologies
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------------
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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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------------
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- [Open Data](https://opendata.paris.fr/pages/home/)
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- [OpenStreetMap](https://www.openstreetmap.org/)
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- [Flickr](https://flickr.com)
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Requirements
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------------
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- Nix
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Installation
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------------
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1. Install Nix (compatible with Nix and Linux):
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``` {.shell}
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curl -L https://nixos.org/nix/install | sh
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```
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There are alternative installation methods, if you don\'t want to pipe
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curl to sh
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2. Clone the repository:
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``` {.shell}
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git clone https://coolneng.duckdns.org/gitea/coolneng/graphPaname
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```
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3. Change the working directory to the project:
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``` {.shell}
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cd graphPaname
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```
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4. Enter the nix-shell:
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``` {.shell}
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nix-shell
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```
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5. Run the tests:
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``` {.shell}
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pytest
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```
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6. Execute the Flask application:
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``` {.shell}
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flask run
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```
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The website can be accessed via **localhost:5000**
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