sideeg/easy-move

Easy Move Project Documentation

Project Overview

Project Name: Easy Move Tag Line: Simplifying Your Journey: Efficient Routes and Weather Insights

Team Members

• Sideeg Mohammed: Fullstack Developer

introdutcin

The Easy Move project aims to address the challenge of finding the shortest route and obtaining weather conditions for a user's desired destination.

you can see live demo on 54.173.31.153:5000/

Technologies Used

• Programming Language: Python
• Libraries/Frameworks: Flask (for web application), Requests (for API calls), Geopy (for location-based calculations), OpenWeatherMap API (for weather data)
  • Resources: Code editor (e.g., Visual Studio Code), version control system (e.g., Git), web browser

Existing Solutions

• Google Maps: Similar in providing routes but lacks weather information.

• Waze: Offers real-time traffic data but lacks weather information.

• Weather.com: Provides weather forecasts but lacks route planning.

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  Installation

Python Version

We recommend using the latest version of Python. Flask supports Python 3.8 and newer. Dependencies

These distributions will be installed automatically when installing Flask.

Werkzeug implements WSGI, the standard Python interface between applications and servers.

Jinja is a template language that renders the pages your application serves.

MarkupSafe comes with Jinja. It escapes untrusted input when rendering templates to avoid injection attacks.

ItsDangerous securely signs data to ensure its integrity. This is used to protect Flask’s session cookie.

Click is a framework for writing command line applications. It provides the flask command and allows adding custom management commands.

Blinker provides support for Signals.

Optional dependencies

These distributions will not be installed automatically. Flask will detect and use them if you install them.

python-dotenv enables support for Environment Variables From dotenv when running flask commands.

Watchdog provides a faster, more efficient reloader for the development server.

greenlet

You may choose to use gevent or eventlet with your application. In this case, greenlet>=1.0 is required. When using PyPy, PyPy>=7.3.7 is required.

These are not minimum supported versions, they only indicate the first versions that added necessary features. You should use the latest versions of each.

Virtual environments

Use a virtual environment to manage the dependencies for your project, both in development and in production.

What problem does a virtual environment solve? The more Python projects you have, the more likely it is that you need to work with different versions of Python libraries, or even Python itself. Newer versions of libraries for one project can break compatibility in another project.

Virtual environments are independent groups of Python libraries, one for each project. Packages installed for one project will not affect other projects or the operating system’s packages.

Python comes bundled with the venv module to create virtual environments. Create an environment

Create a project folder and a .venv folder within:

>>> mkdir easy_move

>>> cd easy_move

>>> py -3 -m venv .venv

Activate the environment

Before you work on your project, activate the corresponding environment:

>>> .venv\Scripts\activate

Your shell prompt will change to show the name of the activated environment.

Install Flask

Within the activated environment, use the following command to install Flask:

$ pip install Flask

Usage

install dependces

$ venv/bin/pip -r requirments.txt

run the app

$ venv/bin/python main.py

** now open 127.0.0.1:5000 and enjoy the app **