Tabulas . Mission planning modules and the applications of path-finding algorithms in Self-Driving Cars (Analysis, Implementation)

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💎 Repository structure

The architecture of consists of five directories [analysis, data, src, static, templates]

Service	Type	Description
analysis	Algorithms	In-detail analysis, explanation and implementation of Dijkstra's, A* Algorithms
data	Data Structures	The implemented data structures will be used in the Algorithms
src	Algorithms	The implementation of Dijkstra's, A* that will be used when a user sends a request for calculating the distance between two points
static	Assets	Styles, Automatically rendered/generated Algorithms results
templates	UI	Following Flask's Architecture style in this folder, you can find all the UI relevant files

📦 Setup

1. Setting up environment

   The following instructions work for [Mac, Linux, Windows]

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   1 - Install virtual env to be able to create Python environments

   sudo pip3 install virtualenv 

   2 - Create a new environment

   virtualenv env

   3 - Active the virtual environment:

   virtualenv env

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2. Modules Setup

   After setting up your development environment, make sure to install the app's required packages by running:

   pip3 install -r requirements.txt
   

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3. Setting up environment variables

   1 - Naming the flask App:

   export FLASK_APP=tabulas
   

   2 - Setting up development mode:

   export FLASK_ENV=development
   

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4. 🚀 Run

   And now you can finally run the app using:

   flask run
   

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🐳 Running with Docker

If you already have Docker installed, feel free to run the app and set it up in one command:

docker-compose up  

Tabulas will be running on http://localhost:5000 🚀

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Thanks for reading 🎉