- #Raspberry pi geany editor paste error how to#
- #Raspberry pi geany editor paste error code#
It's all part of learning how computers really work.
#Raspberry pi geany editor paste error how to#
Look at the last line in the listing and trace back to fix the error, then refresh the browser.Learning how to edit text files in the console and from the Raspbian GUI is a rite of passage for new Raspberry Pi owners. If you have any errors the web page will display a listing with the error message and the line number in the file where the error occurs. Some of the stations have historical records dating back to the 1800’s! The data should be retrieved from the weather station and filtered by the same month for each year in the selection. You should be presented with the entry page to the app where you can set your search parameters and click the search button.
Open a browser on any device on your network and enter the following URL into the search box:. You should get a message informing you that the Flask server is running at URL Run the app with the following command:. Change directory to the “flask” directory by entering the following command and pressing Return:. Open Terminal from the Teminal icon in the Menu Bar. 
The_results = stations.get_data(int(the_year), Title='Welcome to Met Office historical climate data methods=)
#Raspberry pi geany editor paste error code#
Open a new tab in Geany, paste in the code below and save as climate_search.py in the flask directory.įrom flask import Flask, render_template, request. The debug argument is set to true which allows the code to be changed without restarting Flask. These are then displayed in a dynamic table.įinally the call to app.run sets the host argument to 0.0.0.0 – this will allow any device on the network to access the web app. The do_search() function retrieves the search parameters and passes them to the get_data() function that retrieves the station data and filters the results. These are used by the drop-down boxes to show a list of values. The entry_page() function takes as its arguments the name of the template, and passes in the title for the page and the weather station name and month data structures. These paths are appended to the base url when the app runs. Each function uses a Python decorator that defines the url path to a page. It imports all the required Flask modules and then defines a function for each of the web pages used in the app. The main Flask application file is quite simple. For the background image, copy a high-resolution jpeg image to the static directory and name it background.jpg The one used in the example came from. Open a new tab in Geany, paste in the following stylesheet code and save as stylesheet.css in the static directory.įont-family: Verdana, Geneva, Arial, sans-serif. The templates uses static files for the background image and for the CSS stylesheet. YearMonthMax Temp (C)Min Temp (C)Frost (Days)Rain (mm)Sun (Hr) Open the Geany programming editor from the Main Menu > Programming > Geany then in a new tab copy the Python code below and save the file as stations.py in the flask directory. They can be developed and tested separately and then incorporated into the main app. The structure should look like the image below:įlask apps are based around Python functions that handle the dynamic elements of your app. Then create two sub-directories which must be named static and templates. This can have any name, we used “flask” and placed it in the “pi” users “home” directory. Create a top level directory in which all the other files and directories will be stored. Open the File Manager by clicking on the Folder icon in the Menu Bar of your Pi. Flask requires a very specific structure to work. 
Create a directory structure to store the Python scripts and resources that the web app needs.Python 3 and the Flask server are installed by default in the standard Raspberry Pi operating system, Raspbian. You should start with a switched-on Raspberry Pi connected to mouse, keyboard and monitor, you can learn here how to do it using an Okdo Pi kit.The web app runs in a browser or any mobile device connected to the network. It allows the user to choose a particular Weather Station to obtain climate statistics from and then filters the data to show the temperature and rainfall information for the same month in each year using the historical record. This project shows you how to run a Flask server on a Pi 4 that can host a dynamic website running on your home, school or office network.Īs an example app, the project obtains historical climate statistics from the Met Office web service in the UK. Flask is a popular web development framework using Python for creating dynamic web apps.
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