Flask Tutorial in Visual Studio Code

Flask is a lightweight Python framework for web applications that provides the basics for URL routing and page rendering.

Flask is called a "micro" framework because it doesn't directly provide features like form validation, database abstraction, authentication, and so on. Such features are instead provided by special Python packages called Flask extensions. The extensions integrate seamlessly with Flask so that they appear as if they were part of Flask itself. For example, Flask doesn't provide a page template engine, but installing Flask includes the Jinja templating engine by default. For convenience, we typically speak of these defaults as part of Flask.

In this Flask tutorial, you create a simple Flask app with three pages that use a common base template. Along the way, you experience a number of features of Visual Studio Code including using the terminal, the editor, the debugger, code snippets, and more.

The completed code project for this Flask tutorial can be found on GitHub: python-sample-vscode-flask-tutorial.

If you have any problems, feel free to file an issue for this tutorial in the VS Code documentation repository.

Prerequisites

To successfully complete this Flask tutorial, you must do the following (which are the same steps as in the general Python tutorial):

Install the Python extension. Install a version of Python 3 (for which this tutorial is written). Options include: (All operating systems) A download from python.org; typically use the Download Python 3.6.5 button that appears first on the page (or whatever is the latest version).

button that appears first on the page (or whatever is the latest version). (Linux) The built-in Python 3 installation works well, but to install other Python packages you must run sudo apt install python3-pip in the terminal.

in the terminal. (macOS) An installation through Homebrew on macOS using brew install python3 (the system install of Python on macOS is not supported).

(the system install of Python on macOS is not supported). (All operating systems) A download from Anaconda (for data science purposes). On Windows, make sure the location of your Python interpreter is included in your PATH environment variable. You can check the location by running path at the command prompt. If the Python interpreter's folder isn't included, open Windows Settings, search for "environment", select Edit environment variables for your account, then edit the Path variable to include that folder.

Create a project environment for the Flask tutorial

In this section, you create a virtual environment in which Flask is installed. Using a virtual environment avoids installing Flask into a global Python environment and gives you exact control over the libraries used in an application. A virtual environment also makes it easy to Create a requirements.txt file for the environment.

On your file system, create a project folder for this tutorial, such as hello_flask . In that folder, use the following command (as appropriate to your computer) to create a virtual environment named env based on your current interpreter: # macOS/Linux sudo apt-get install python3-venv # If needed python3 -m venv env # Windows python -m venv env Note: Use a stock Python installation when running the above commands. If you use python.exe from an Anaconda installation, you see an error because the ensurepip module isn't available, and the environment is left in an unfinished state. Open the project folder in VS Code by running code . , or by running VS Code and using the File > Open Folder command. In VS Code, open the Command Palette (View > Command Palette or (⇧⌘P (Windows, Linux Ctrl+Shift+P))). Then select the Python: Select Interpreter command: The command presents a list of available interpreters that VS Code can locate automatically (your list will vary; if you don't see the desired interpreter, see Configuring Python environments). From the list, select the virtual environment in your project folder that starts with ./env or .\env : Run Terminal: Create New Integrated Terminal (⌃⇧` (Windows, Linux Ctrl+Shift+`))) from the Command Palette, which creates a terminal and automatically activates the virtual environment by running its activation script. Note: On Windows, if your default terminal type is PowerShell, you may see an error that it cannot run activate.ps1 because running scripts is disabled on the system. The error provides a link for information on how to allow scripts. Otherwise, use Terminal: Select Default Shell to set "Command Prompt" or "Git Bash" as your default instead. The selected environment appears on the left side of the VS Code status bar, and notice the "(venv)" indicator that tells you that you're using a virtual environment: Install Flask in the virtual environment by running one of the following commands in the VS Code Terminal: # macOS/Linux pip3 install flask # Windows pip install flask

You now have a self-contained environment ready for writing Flask code. VS Code activates the environment automatically when you use Terminal: Create New Integrated Terminal. If you open a separate command prompt or terminal, activate the environment by running source env/bin/activate (Linux/macOS) or env\scripts\activate (Windows). You know the environment is activated when the command prompt shows (env) at the beginning.

Create and run a minimal Flask app

In VS Code, create a new file in your project folder named app.py using either File > New from the menu, pressing Ctrl+N, or using the new file icon in the Explorer View (shown below). In app.py , add code to import Flask and create an instance of the Flask object. If you type the code below (instead of using copy-paste), you can observe VS Code's IntelliSense and auto-completions: from flask import Flask app = Flask( __name__ ) Also in app.py , add a function that returns content, in this case a simple string, and use Flask's app.route decorator to map the URL route / to that function: @app.route ( "/" ) def home (): return "Hello, Flask!" Tip: You can use multiple decorators on the same function, one per line, depending on how many different routes you want to map to the same function. Save the app.py file (⌘S (Windows, Linux Ctrl+S)). In the terminal, run the app by entering python3 -m flask run (macOS/Linux) or python -m flask run (Windows), which runs the Flask development server. The development server looks for app.py by default. When you run Flask, you should see output similar to the following: (env) D: \p y \\ hello_flask>python -m flask run * Environment: production WARNING: Do not use the development server in a production environment. Use a production WSGI server instead. * Debug mode: off * Running on http://127.0.0.1:5000/ (Press CTRL+C to quit) If you see an error that the Flask module cannot be found, make sure you've run pip3 install flask (macOS/Linux) or pip install flask (Windows) in your virtual environment as described at the end of the previous section. Also, if you want to run the development server on a different IP address or port, use the host and port command-line arguments, as with --host=0.0.0.0 --port=80 . To open your default browser to the rendered page, Ctrl+click the http://127.0.0.1:5000/ URL in the terminal. Observe that when you visit a URL like /, a message appears in the debug terminal showing the HTTP request: 127.0.0.1 - - [11/Jul/2018 08:40:15] "GET / HTTP/1.1" 200 - Stop the app by using Ctrl+C in the terminal.

Tip: If you want to use a different filename than app.py , such as program.py , define an environment variable named FLASK_APP and set its value to your chosen file. Flask's development server then uses the value of FLASK_APP instead of the default file app.py . For more information, see Flask command line interface.

Run the app in the debugger

Debugging gives you the opportunity to pause a running program on a particular line of code. When a program is paused, you can examine variables, run code in the Debug Console panel, and otherwise take advantage of the features described on Debugging. Running the debugger also automatically saves any modified files before the debugging session begins.

Before you begin: Make sure you've stopped the running app at the end of the last section by using Ctrl+C in the terminal. If you leave the app running in one terminal, it continues to own the port. As a result, when you run the app in the debugger using the same port, the original running app handles all the requests and you won't see any activity in the app being debugged and the program won't stop at breakpoints. In other words, if the debugger doesn't seem to be working, make sure that no other instance of the app is still running.

Replace the contents of app.py with the following code, which adds a second route and function that you can step through in the debugger: from flask import Flask from datetime import datetime import re app = Flask( __name__ ) @app.route ( "/" ) def home (): return "Hello, Flask!" @app.route ( "/hello/<name>" ) def hello_there ( name ): now = datetime.now() formatted_now = now.strftime( "%A, %d %B, %Y at %X " ) # Filter the name argument to letters only using regular expressions. URL arguments # can contain arbitrary text, so we restrict to safe characters only. match_object = re.match( "[a-zA-Z]+" , name) if match_object: clean_name = match_object.group( 0 ) else : clean_name = "Friend" content = "Hello there, " + clean_name + "! It's " + formatted_now return content The decorator used for the new URL route, /hello/<name> , defines an endpoint /hello/ that can accept any additional value. The identifier inside < and > in the route defines a variable that is passed to the function and can be used in your code. URL routes are case-sensitive. For example, the route /hello/<name> is distinct from /Hello/<name> . If you want the same function to handle both, use decorators for each variant. As described in the code comments, always filter arbitrary user-provided information to avoid various attacks on your app. In this case, the code filters the name argument to contain only letters, which avoids injection of control characters, HTML, and so forth. (When you use templates in the next section, Flask does automatic filtering and you won't need this code.) Set a breakpoint at the first line of code in the hello_there function ( now = datetime.now() ) by doing any one of the following: With the cursor on that line, press F9 , or,

, or, With the cursor on that line, select the Run > Toggle Breakpoint menu command, or,

> menu command, or, Click directly in the margin to the left of the line number (a faded red dot appears when hovering there). The breakpoint appears as a red dot in the left margin: Switch to Run view in VS Code (using the left-side activity bar). Along the top of the Run view, you may see "No Configurations" and a warning dot on the gear icon. Both indicators mean that you don't yet have a launch.json file containing debug configurations: Select the gear icon and select Flask from the list that appears. VS Code creates and opens a launch.json file. This JSON file contains a debugging configuration, which is a JSON object within the configuration array. Scroll down to and examine the configuration, which is named "Python: Flask". This configuration contains "module": "flask", , which tells VS Code to run Python with -m flask when it starts the debugger. It also defines the FLASK_APP environment variable in the env property to identify the startup file, which is app.py by default, but allows you to easily specify a different file. If you want to change the host and/or port, you can use the args array. { "name" : "Python: Flask" , "type" : "python" , "request" : "launch" , "module" : "flask" , "env" : { "FLASK_APP" : "app.py" , "FLASK_ENV" : "development" , "FLASK_DEBUG" : "0" }, "args" : [ "run" , "--no-debugger" , "--no-reload" ], "jinja" : true }, Note: If the env entry in your configuration contains "FLASK_APP": "${workspaceFolder}/app.py" , change it to "FLASK_APP": "app.py" as shown above. Otherwise you may encounter error messages like "Cannot import module C" where C is the drive letter where your project folder resides. Note: Once launch.json is created, an Add Configuration button appears in the editor. That button displays a list of additional configurations to add to the beginning of the configuration list. (The Run > Add Configuration menu command does the same action.). Save launch.json (⌘S (Windows, Linux Ctrl+S)). In the debug configuration drop-down list (which reads Python: Current File) select the Python: Flask configuration. Start the debugger by selecting the Run > Start Debugging menu command, or selecting the green Start Debugging arrow next to the list (F5): Observe that the status bar changes color to indicate debugging: A debugging toolbar (shown below) also appears in VS Code containing commands in the following order: Pause (or Continue, F5), Step Over (F10), Step Into (F11), Step Out (⇧F11 (Windows, Linux Shift+F11)), Restart (⇧⌘F5 (Windows, Linux Ctrl+Shift+F5)), and Stop (⇧F5 (Windows, Linux Shift+F5)). See VS Code debugging for a description of each command. Output appears in a "Python Debug Console" terminal. Ctrl+click the http://127.0.0.1:5000/ link in that terminal to open a browser to that URL. In the browser's address bar, navigate to http://127.0.0.1:5000/hello/VSCode . Before the page renders, VS Code pauses the program at the breakpoint you set. The small yellow arrow on the breakpoint indicates that it's the next line of code to run. Use Step Over to run the now = datetime.now() statement. On the left side of the VS Code window, you see a Variables pane that shows local variables, such as now , as well as arguments, such as name . Below that are panes for Watch, Call Stack, and Breakpoints (see VS Code debugging for details). In the Locals section, try expanding different values. You can also double-click values (or use Enter (Windows, Linux F2)) to modify them. Changing variables such as now , however, can break the program. Developers typically make changes only to correct values when the code didn't produce the right value to begin with. When a program is paused, the Debug Console panel (which is different from the "Python Debug Console" in the Terminal panel) lets you experiment with expressions and try out bits of code using the current state of the program. For example, once you've stepped over the line now = datetime.now() , you might experiment with different date/time formats. In the editor, select the code that reads now.strftime("%A, %d %B, %Y at %X") , then right-click and select Debug: Evaluate to send that code to the debug console, where it runs: now.strftime( "%A, %d %B, %Y at %X" ) 'Wednesday, 31 October, 2018 at 18:13:39' Tip: The Debug Console also shows exceptions from within the app that may not appear in the terminal. For example, if you see a "Paused on exception" message in the Call Stack area of Run view, switch to the Debug Console to see the exception message. Copy that line into the > prompt at the bottom of the debug console, and try changing the formatting: now.strftime( "%a, %d %B, %Y at %X" ) 'Wed, 31 October, 2018 at 18:13:39' now.strftime( "%a, %d %b, %Y at %X" ) 'Wed, 31 Oct, 2018 at 18:13:39' now.strftime( "%a, %d %b, %y at %X" ) 'Wed, 31 Oct, 18 at 18:13:39' Note: If you see a change you like, you can copy and paste it into the editor during a debugging session. However, those changes aren't applied until you restart the debugger. Step through a few more lines of code, if you'd like, then select Continue (F5) to let the program run. The browser window shows the result: Close the browser and stop the debugger when you're finished. To stop the debugger, use the Stop toolbar button (the red square) or the Run > Stop Debugging command (⇧F5 (Windows, Linux Shift+F5)).

Tip: To make it easier to repeatedly navigate to a specific URL like http://127.0.0.1:5000/hello/VSCode , output that URL using a print statement. The URL appears in the terminal where you can use Ctrl+click to open it in a browser.

Go to Definition and Peek Definition commands

During your work with Flask or any other library, you may want to examine the code in those libraries themselves. VS Code provides two convenient commands that navigate directly to the definitions of classes and other objects in any code:

Go to Definition jumps from your code into the code that defines an object. For example, in app.py , right-click on the Flask class (in the line app = Flask(__name__) ) and select Go to Definition (or use F12), which navigates to the class definition in the Flask library.

Peek Definition (⌥F12 (Windows Alt+F12, Linux Ctrl+Shift+F10), also on the right-click context menu), is similar, but displays the class definition directly in the editor (making space in the editor window to avoid obscuring any code). Press Escape to close the Peek window or use the x in the upper right corner.

Use a template to render a page

The app you've created so far in this tutorial generates only plain text web pages from Python code. Although it's possible to generate HTML directly in code, developers avoid such a practice because it opens the app to cross-site scripting (XSS) attacks. In the hello_there function of this tutorial, for example, one might think to format the output in code with something like content = "<h1>Hello there, " + clean_name + "!</h1> , where the result in content is given directly to a browser. This opening allows an attacker to place malicious HTML, including JavaScript code, in the URL that ends up in clean_name and thus ends up being run in the browser.

A much better practice is to keep HTML out of your code entirely by using templates, so that your code is concerned only with data values and not with rendering.

A template is an HTML file that contains placeholders for values that the code provides at run time. The templating engine takes care of making the substitutions when rendering the page. The code, therefore, concerns itself only with data values and the template concerns itself only with markup.

The default templating engine for Flask is Jinja, which is installed automatically when you install Flask. This engine provides flexible options including automatic escaping (to prevent XSS attacks) and template inheritance. With inheritance, you can define a base page with common markup and then build upon that base with page-specific additions.

In this section, you create a single page using a template. In the sections that follow, you configure the app to serve static files, and then create multiple pages to the app that each contains a nav bar from a base template.

Inside the hello_flask folder, create a folder named templates , which is where Flask looks for templates by default. In the templates folder, create a file named hello_there.html with the contents below. This template contains two placeholders named "name" and "date", which are delineated by pairs of curly braces, {{ and }} . As you can see, you can also include formatting code in the template directly: <! DOCTYPE html > <html> <head> <meta charset = "utf-8" /> <title> Hello, Flask </title> </head> <body> {%if name %} <strong> Hello there, {{ name }}! </strong> It's {{ date.strftime("%A, %d %B, %Y at %X") }}. {% else %} What's your name? Provide it after /hello/ in the URL. {% endif %} </body> </html> Tip: Flask developers often use the flask-babel extension for date formatting, rather than strftime , as flask-babel takes locales and timezones into consideration. In app.py , import Flask's render_template function near the top of the file: from flask import render_template Also in app.py , modify the hello_there function to use render_template to load a template and apply the named values (and add a route to recognize the case without a name). render_template assumes that the first argument is relative to the templates folder. Typically, developers name the templates the same as the functions that use them, but matching names are not required because you always refer to the exact filename in your code. @app.route ( "/hello/" ) @app.route ( "/hello/<name>" ) def hello_there ( name = None ): return render_template( "hello_there.html" , name =name, date =datetime.now() ) You can see that the code is now much simpler, and concerned only with data values, because the markup and formatting is all contained in the template. Start the program (inside or outside of the debugger, using ⌃F5 (Windows, Linux Ctrl+F5)), navigate to a /hello/name URL, and observe the results. Also try navigating to a /hello/name URL using a name like <a%20value%20that%20could%20be%20HTML> to see Flask's automatic escaping at work. The "name" value shows up as plain text in the browser rather than as rendering an actual element.

Serve static files

Static files are of two types. First are those files like stylesheets to which a page template can just refer directly. Such files can live in any folder in the app, but are commonly placed within a static folder.

The second type are those that you want to address in code, such as when you want to implement an API endpoint that returns a static file. For this purpose, the Flask object contains a built-in method, send_static_file , which generates a response with a static file contained within the app's static folder.

The following sections demonstrate both types of static files.

Refer to static files in a template

In the hello_flask folder, create a folder named static . Within the static folder, create a file named site.css with the following contents. After entering this code, also observe the syntax highlighting that VS Code provides for CSS files, including a color preview: .message { font-weight : 600 ; color : blue ; } In templates/hello_there.html , add the following line before the </head> tag, which creates a reference to the stylesheet. <link rel = "stylesheet" type = "text/css" href = "{{ url_for('static', filename='site.css')}}" /> Flask's url_for tag that is used here, creates the appropriate path to the file. Because it can accept variables as arguments, url_for allows you to programmatically control the generated path, if desired. Also in templates/hello_there.html , replace the contents <body> element with the following markup that uses the message style instead of a <strong> tag (and also displays a message if you just use a hello/ URL without a name): {%if name %} <span class = "message" > Hello there, {{ name }}! </span> It's {{ date.strftime("%A, %d %B, %Y at %X") }}. {% else %} <span class = "message" > What's your name? Provide it after /hello/ in the URL. </span> {% endif %} Run the app, navigate to a /hello/name URL, and observe that the message renders in blue. Stop the app when you're done.

Serve a static file from code

In the static folder, create a JSON data file named data.json with the following contents (which are meaningless sample data): { "01" : { "note" : "This data is very simple because we're demonstrating only the mechanism." } } In app.py , add a function with the route /api/data that returns the static data file using the send_static_file method: @app.route ( "/api/data" ) def get_data (): return app.send_static_file( "data.json" ) Run the app and navigate to the /api/data endpoint to see that the static file is returned. Stop the app when you're done.

Create multiple templates that extend a base template

Because most web apps have more than one page, and because those pages typically share many common elements, developers separate those common elements into a base page template that other page templates can then extend. (This is also called template inheritance.)

Also, because you'll likely create many pages that extend the same template, it's helpful to create a code snippet in VS Code with which you can quickly initialize new page templates. A snippet helps you avoid tedious and error-prone copy-paste operations.

The following sections walk through different parts of this process.

Create a base page template and styles

A base page template in Flask contains all the shared parts of a set of pages, including references to CSS files, script files, and so forth. Base templates also define one or more block tags that other templates that extend the base are expected to override. A block tag is delineated by {% block <name> %} and {% endblock %} in both the base template and extended templates.

The following steps demonstrate creating a base template.

In the templates folder, create a file named layout.html with the contents below, which contains blocks named "title" and "content". As you can see, the markup defines a simple nav bar structure with links to Home, About, and Contact pages, which you create in a later section. Each link again uses Flask's url_for tag to generate a link at runtime for the matching route. <! DOCTYPE html > <html> <head> <meta charset = "utf-8" /> <title> {% block title %}{% endblock %} </title> <link rel = "stylesheet" type = "text/css" href = "{{ url_for('static', filename='site.css')}}" /> </head> <body> <div class = "navbar" > <a href = "{{ url_for('home') }}" class = "navbar-brand" > Home </a> <a href = "{{ url_for('about') }}" class = "navbar-item" > About </a> <a href = "{{ url_for('contact') }}" class = "navbar-item" > Contact </a> </div> <div class = "body-content" > {% block content %} {% endblock %} <hr / > <footer> <p> © 2018 </p> </footer> </div> </body> </html> Add the following styles to static/site.css below the existing "message" style, and save the file. (This walkthrough doesn't attempt to demonstrate responsive design; these styles simply generate a reasonably interesting result.) .navbar { background-color : lightslategray ; font-size : 1em ; font-family : 'Trebuchet MS' , 'Lucida Sans Unicode' , 'Lucida Grande' , 'Lucida Sans' , Arial , sans-serif ; color : white ; padding : 8px 5px 8px 5px ; } .navbar a { text-decoration : none ; color : inherit ; } .navbar-brand { font-size : 1.2em ; font-weight : 600 ; } .navbar-item { font-variant : small-caps ; margin-left : 30px ; } .body-content { padding : 5px ; font-family : 'Segoe UI' , Tahoma , Geneva, Verdana , sans-serif ; }

You can run the app at this point, but because you haven't made use of the base template anywhere and haven't changed any code files, the result is the same as the previous step. Complete the remaining sections to see the final effect.

Create a code snippet

Because the three pages you create in the next section extend layout.html , it saves time to create a code snippet to initialize a new template file with the appropriate reference to the base template. A code snippet provides a consistent piece of code from a single source, which avoids errors that can creep in when using copy-paste from existing code.

In VS Code, select the File (Windows/Linux) or Code (macOS), menu, then select Preferences > User snippets. In the list that appears, select html. (The option may appear as "html.json" in the Existing Snippets section of the list if you've created snippets previously.) After VS code opens html.json , add the following entry within the existing curly braces (the explanatory comments, not shown here, describe details such as how the $0 line indicates where VS Code places the cursor after inserting a snippet): "Flask Tutorial: template extending layout.html" : { "prefix" : "flextlayout" , "body" : [ "{% extends \" layout.html \" %}" , "{% block title %}" , "$0" , "{% endblock %}" , "{% block content %}" , "{% endblock %}" ], "description" : "Boilerplate template that extends layout.html" }, Save the html.json file (⌘S (Windows, Linux Ctrl+S)). Now, whenever you start typing the snippet's prefix, such as flext , VS Code provides the snippet as an autocomplete option, as shown in the next section. You can also use the Insert Snippet command to choose a snippet from a menu.

For more information on code snippets in general, refer to Creating snippets.

Use the code snippet to add pages

With the code snippet in place, you can quickly create templates for the Home, About, and Contact pages.

In the templates folder, create a new file named home.html , Then start typing flext to see the snippet appear as a completion: When you select the completion, the snippet's code appears with the cursor on the snippet's insertion point: At the insertion point in the "title" block, write Home , and in the "content" block, write <p>Home page for the Visual Studio Code Flask tutorial.</p> , then save the file. These lines are the only unique parts of the extended page template: In the templates folder, create about.html , use the snippet to insert the boilerplate markup, insert About us and <p>About page for the Visual Studio Code Flask tutorial.</p> in the "title" and "content" blocks, respectively, then save the file. Repeat the previous step to create templates/contact.html using Contact us and <p>Contact page for the Visual Studio Code Flask tutorial.</p> in the two content blocks. In app.py , add functions for the /about/ and /contact/ routes that refer to their respective page templates. Also modify the home function to use the home.html template. # Replace the existing home function with the one below @app.route ( "/" ) def home (): return render_template( "home.html" ) # New functions @app.route ( "/about/" ) def about (): return render_template( "about.html" ) @app.route ( "/contact/" ) def contact (): return render_template( "contact.html" )

Run the app

With all the page templates in place, save app.py , run the app, and open a browser to see the results. Navigate between the pages to verify that the page templates are properly extending the base template.

Optional activities

The following sections describe additional steps that you might find helpful in your work with Python and Visual Studio Code.

Create a requirements.txt file for the environment

When you share your app code through source control or some other means, it doesn't make sense to copy all the files in a virtual environment because recipients can always recreate the environment themselves.

Accordingly, developers typically omit the virtual environment folder from source control and instead describe the app's dependencies using a requirements.txt file.

Although you can create the file by hand, you can also use the pip freeze command to generate the file based on the exact libraries installed in the activated environment:

With your chosen environment selected using the Python: Select Interpreter command, run the Terminal: Create New Integrated Terminal command (⌃⇧` (Windows, Linux Ctrl+Shift+`))) to open a terminal with that environment activated. In the terminal, run pip freeze > requirements.txt to create the requirements.txt file in your project folder.

Anyone (or any build server) that receives a copy of the project needs only to run the pip install -r requirements.txt command to reinstall the packages in the original the environment. (The recipient still needs to create their own virtual environment, however.)

Note: pip freeze lists all the Python packages you have installed in the current environment, including packages you aren't currently using. The command also lists packages with exact version numbers, which you might want to convert to ranges for more flexibility in the future. For more information, see Requirements files in the pip command documentation.

Refactor the project to support further development

Throughout this Flask tutorial, all the app code is contained in a single app.py file. To allow for further development and to separate concerns, it's helpful to refactor the pieces of app.py into separate files.

In your project folder, create a folder for the app, such as hello_app , to separate its files from other project-level files like requirements.txt and the .vscode folder where VS Code stores settings and debug configuration files. Move the static and templates folders into hello_app , because these folders certainly contain app code. In the hello_app folder, create a file named views.py that contains the routings and the view functions: from flask import Flask from flask import render_template from datetime import datetime from . import app @app.route ( "/" ) def home (): return render_template( "home.html" ) @app.route ( "/about/" ) def about (): return render_template( "about.html" ) @app.route ( "/contact/" ) def contact (): return render_template( "contact.html" ) @app.route ( "/hello/" ) @app.route ( "/hello/<name>" ) def hello_there ( name = None ): return render_template( "hello_there.html" , name =name, date =datetime.now() ) @app.route ( "/api/data" ) def get_data (): return app.send_static_file( "data.json" ) Optional: Right-click in the editor and select the Sort Imports command, which consolidates imports from identical modules, removes unused imports, and sorts your import statements. Using the command on the code above in views.py changes the imports as follows (you can remove the extra lines, of course): from datetime import datetime from flask import Flask, render_template from . import app In the hello_app folder, create a file __init__.py with the following contents: import flask app = flask.Flask( __name__ ) In the hello_app folder, create a file webapp.py with the following contents: # Entry point for the application. from . import app # For application discovery by the 'flask' command. from . import views # For import side-effects of setting up routes. Open the debug configuration file launch.json and update the env property as follows to point to the startup object: "env" : { "FLASK_APP" : "hello_app.webapp" }, Delete the original app.py file in the project root, as its contents have been moved into other app files. Your project's structure should now be similar to the following: Run the app in the debugger again to make sure everything works. To run the app outside of the VS Code debugger, use the following steps from a terminal: Set an environment variable for FLASK_APP . On Linux and macOS, use export set FLASK_APP=webapp ; on Windows use set FLASK_APP=webapp . Navigate into the hello_app folder, then launch the program using python3 -m flask run (Linux/macOS) or python -m flask run (Windows).

Create a container for a Flask app using the Docker extension

The Docker extension makes it easy to build, manage, and deploy containerized applications from Visual Studio Code. If you're interested in learning how to create a Python container for the Flask app developed in this tutorial, check out the Python in a container tutorial, which will walk you through how to:

Create a Dockerfile file describing a simple Python container.

file describing a simple Python container. Build, run, and verify the functionality of a Flask app.

Debug the app running in a container.

If you have any problems, feel free to file an issue for this tutorial in the VS Code documentation repository.

Next steps

Congratulations on completing this walkthrough of working with Flask in Visual Studio Code!

The completed code project from this tutorial can be found on GitHub: python-sample-vscode-flask-tutorial.

Because this tutorial has only scratched the surface of page templates, refer to the Jinja2 documentation for more information about templates. The Template Designer Documentation contains all the details on the template language. You might also want to review the official Flask tutorial as well as the documentation for Flask extensions.

To try your app on a production website, check out the tutorial Deploy Python apps to Azure App Service using Docker Containers. Azure also offers a standard container, App Service on Linux, to which you deploy web apps from within VS Code.

You may also want to review the following articles in the VS Code docs that are relevant to Python:

If you encountered any problems in the course of this tutorial, feel free to file an issue in the VS Code documentation repository.