Weather-Vista is a Python-based weather application designed to provide real-time weather information through a user-friendly graphical interface. The project utilizes PyQT5 for GUI, Scrapy for web scraping city data, HTTP-Request and API for real-time weather data, and MongoDB for efficient data storage.
- User-Friendly Interface: Enjoy a visually appealing and intuitive interface for seamless weather exploration.
- Real-Time Weather Data: Access up-to-date weather information, including temperature, conditions, and forecasts.
- City Exploration: Explore city details, such as temperature, weather conditions, and more, for selected countries.
- Task Tracking with Trello: Daily 30-minute meetings are held, and task details are tracked using Trello for effective collaboration.
- PyQT5: For GUI development.
- Scrapy: Web scraping to gather city, state, and population information.
- HTTP-Request and API: To pull real-time weather data from OpenWeatherMap.
- MongoDB: As the database management system for efficient data storage.
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Sprint-1: Design and Database Setup
- Design GUI for App.
- Create UML Diagrams (Use Case Diagram, Class Diagram).
- Implement Scrapy for city, state, and population information.
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Sprint-2: Real-Time Weather Integration
- Use HTTP-Request and API for real-time weather data.
- Implement main page components, including country and city details.
- Project Kick-off Meeting/Sprint Planning Meeting: 27-01-2024
- Daily Scrum Meeting: Every day
- Retrospective Meeting / Sprint Planning Meeting: 01-02-2024
- Sprint Review: 08-01-2024
Weather-Vista welcomes contributions! To get started:
- Join our daily meetings to stay updated.
- Check out the Trello board for available tasks.
- Contribute code or report issues.
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Clone the repository:
git clone https://github.com/yaydemirpro/Weather-Vista.git cd Weather-Vista -
Install the required dependencies:
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Configure the database connection:
- MongoDB is used as the database. Create a MongoDB database account and update the necessary connection details in the
db_connect.pyfile.
- MongoDB is used as the database. Create a MongoDB database account and update the necessary connection details in the
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Configure the API key:
- An OpenWeatherMap API key is required. Obtain an API key and add it to the
get_complete_url()andget_forecast_url()functions.
- An OpenWeatherMap API key is required. Obtain an API key and add it to the
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Run the application:
python main.py
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When the application is launched, you will see options for countries and cities. After selecting the relevant country, a list of cities will appear. Once you select a city, weather information will be displayed at the bottom of the screen.
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You can quickly access weather information for a city by typing the city name into the search box.
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Weather information is presented in terms of current temperature, pressure, humidity, wind speed, and weather description.
- The application fetches weather data using the OpenWeatherMap API.
- MongoDB is used as the database. City data for each country is stored in the database.
This project is licensed under the Creative Commons Zero v1.0 Universal.
Special thanks to OpenWeatherMap for providing the weather API.
When you launch the application, weather data is loaded, and the main screen is displayed.
Country and City Selection:
- Use the dropdown menus to select a country and city.
- When you change the country, the list of cities for that country is automatically loaded.
- The selected city's weather information will be displayed in the main area of the screen.
Real-Time Weather Information:
- View real-time weather information, including temperature, pressure, humidity, wind speed, and weather description.
Daily and Hourly Forecast:
- Access daily and hourly weather forecasts for the selected city.
- Daily forecasts cover the next three days, while hourly forecasts cover 3, 6, 9, and 12-hour intervals.
City Search:
- Use the "Find your city quickly 🔍" search box to quickly find a city.
- Even if you don't enter the full city name, the search will still work. For example, typing "erda" will display "Amsterdam," and typing "han" will display "Hanover."
Current Date and Time:
- The top right corner of the screen displays the current date and time.
Saved User Preferences:
- The application remembers the last selected country and city, automatically loading them on the next startup.
Animated Placeholder:
- The search box's placeholder text is animated to provide search hints.
Error Notifications:
- If there is an error fetching or displaying weather data, an error message will be shown.
Clean and User-Friendly Interface:
- The application's interface is designed to provide easy access to weather information.
This guide covers the basic features of Weather-Vista and is designed to help users effectively use the application. Explore further to discover more features and enjoy using Weather-Vista!