Weather Forecast App

Table of contents

• About the Project
• Getting Started
  • Prerequisites
  • Installation
• Usage
  • Tests
• Contributing
• Contact
• Acknowledgements

About the Project

This project retrieves weather forecast data from an OpenWeather API request. For now it only reads data from .csv files containing IATA codes or cities and display their weather forecast information on a simple-human-comprehensible terminal app
Currently working on an GUI so you can search places and, overall, have a prettier data visualization.

Getting Started

Since this app is all made with Python you're going to need some python-libraries and utilities listed below.

Prerequisites

• First check that your current Python version is Python 3.6 or above, by running the following command on your terminal:

python --version

Python 3.8+ is recommended

Note that in some linux distros you'll need to run it as:

python3 --version

• You migth as well check if you have PyPI as your Python package installer:
  Since this process vary for every Linux distro, I'll link you to an article explanning how to set PyPI up.

Installation

1. Get a free OpenWeather API Key at https://openweathermap.org/appid

2. Clone the repo

   git clone https://github.com/DiXap/WeatherForecastApp.git

3. Verify or install Python packages For all the packages listed bwlow, run the following command where <pkg> is the name of the package.

   pip install <pkg>

   • requests
   • unidecode
   • pandas

4. Enter your API Key in main.py

   API = 'ENTER_YOUR_API_KEY'

Usage

As mentioned before, the app only reads csv files, although you can modify the functions in main.py in order to request for a specific location forecast.
Don't delete Data/ resources directories or its child directories for they're used in the main excecution of the app. Once you're ready, whether you modify something or not, go to your terminal and in the main directory of the project run the following:

python main.py

python3 in some distros

It should output something like:

Aviá Terai
Weather: Clouds as overcast clouds
Current temp: 19.28°C
        but feels like: 18.73°C
        Max temp: 19.28°C   Min temp: 19.28°C
Humidity: 76%   Pressure: 1011Pa

Badung
Weather: Rain as light rain
Current temp: 30°C
        but feels like: 32.34°C
        Max temp: 30°C   Min temp: 30°C
Humidity: 74%   Pressure: 1009Pa

Baidoa
Weather: Clouds as overcast clouds
Current temp: 25.88°C
        but feels like: 26.68°C
        Max temp: 25.88°C   Min temp: 25.88°C
Humidity: 74%   Pressure: 1013Pa

--- 0.6180081367492676 seconds ---

If you searched for a place

George Bush Intercontinental Huston Airport
 Houston, United States
Weather: Clouds as overcast clouds
Current temp: 25.99°C
        but feels like: 23.11°C
UVI: 7.83
Humidity: 69%   Pressure: 1004Pa


Bahías de Huatulco International Airport
 Huatulco, Mexico
Weather: Clouds as broken clouds
Current temp: 28.94°C
        but feels like: 33.16°C
UVI: 11.83
Humidity: 74%   Pressure: 1009Pa


John F Kennedy International Airport
 New York, United States
Weather: Clouds as few clouds
Current temp: 18.31°C
        but feels like: 15.8°C
UVI: 4.43
Humidity: 63%   Pressure: 1020Pa


--- 0.1079430580191602 seconds ---

If you searched an IATA code

Since OpeWeather only admits limitted API calls per minute, the main program is set to make under 60 requests so it doesn't get yourself in trouble.
If you want to remove this limit go to main.py and change the following:

  future = asyncio.ensure_future(get_data_iata(d1_list, states))

  future = asyncio.ensure_future(get_data_place(d2_list, states))

By doing this the program will fetch data for all the places contained in the .csv files.
Alternatively, you can fiddle around with the list slices:

  d1_coords = d1_list[:20:-1]

  call = d2_list[200:210]

Tests

In order to get the tests running you'll need to enter your API Key in tests.py:

API = 'ENTER_YOUR_API_KEY'

These test cases were coded to demostrate functions' error handling. Feel free to play around with them.

Contributing

If you want to contribute to this project please read the following steps. Any feedback or contributions are greatly appreciated.

1. Fork the project
2. Create your branch

   git checkout -b ideas/MyFeature

3. Commint the changes

   git commit -m "Some awesome ideas" 

4. Push

   git push origin ideas/MyFeature

5. Open a pull request

Open issues

You can open an issue anytime you want.
Refer to the section open issues for a list of known ones.

Contact

Diego J. Padilla

Alejandro Maldonado

Acknowledgements

• airport-codes
• Best-README-Template
• Some cool badges for your README
• ForTheBadge
• Badges 4 README.md Profile

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