Command Line Interface¶
Installing Flask installs the flask
script, a Click command line
interface, in your virtualenv. Executed from the terminal, this script gives
access to built-in, extension, and application-defined commands. The --help
option will give more information about any commands and options.
Application Discovery¶
The flask
command is installed by Flask, not your application; it must be
told where to find your application in order to use it. The --app
option is used to specify how to load the application.
While --app
supports a variety of options for specifying your
application, most use cases should be simple. Here are the typical values:
- (nothing)
The name “app” or “wsgi” is imported (as a “.py” file, or package), automatically detecting an app (
app
orapplication
) or factory (create_app
ormake_app
).--app hello
The given name is imported, automatically detecting an app (
app
orapplication
) or factory (create_app
ormake_app
).
--app
has three parts: an optional path that sets the current working
directory, a Python file or dotted import path, and an optional variable
name of the instance or factory. If the name is a factory, it can optionally
be followed by arguments in parentheses. The following values demonstrate these
parts:
--app src/hello
Sets the current working directory to
src
then importshello
.--app hello.web
Imports the path
hello.web
.--app hello:app2
Uses the
app2
Flask instance inhello
.--app 'hello:create_app("dev")'
The
create_app
factory inhello
is called with the string'dev'
as the argument.
If --app
is not set, the command will try to import “app” or
“wsgi” (as a “.py” file, or package) and try to detect an application
instance or factory.
Within the given import, the command looks for an application instance named
app
or application
, then any application instance. If no instance is
found, the command looks for a factory function named create_app
or
make_app
that returns an instance.
If parentheses follow the factory name, their contents are parsed as Python literals and passed as arguments and keyword arguments to the function. This means that strings must still be in quotes.
Run the Development Server¶
The run
command will start the development server. It
replaces the Flask.run()
method in most cases.
$ flask --app hello run
* Serving Flask app "hello"
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
Warning
Do not use this command to run your application in production. Only use the development server during development. The development server is provided for convenience, but is not designed to be particularly secure, stable, or efficient. See Deploying to Production for how to run in production.
If another program is already using port 5000, you’ll see
OSError: [Errno 98]
or OSError: [WinError 10013]
when the
server tries to start. See Address already in use for how to
handle that.
Debug Mode¶
In debug mode, the flask run
command will enable the interactive debugger and the
reloader by default, and make errors easier to see and debug. To enable debug mode, use
the --debug
option.
$ flask --app hello run --debug
* Serving Flask app "hello"
* Debug mode: on
* Running on http://127.0.0.1:5000/ (Press CTRL+C to quit)
* Restarting with inotify reloader
* Debugger is active!
* Debugger PIN: 223-456-919
The --debug
option can also be passed to the top level flask
command to enable
debug mode for any command. The following two run
calls are equivalent.
$ flask --app hello --debug run
$ flask --app hello run --debug
Watch and Ignore Files with the Reloader¶
When using debug mode, the reloader will trigger whenever your Python code or imported
modules change. The reloader can watch additional files with the --extra-files
option. Multiple paths are separated with :
, or ;
on Windows.
$ flask run --extra-files file1:dirA/file2:dirB/
* Running on http://127.0.0.1:8000/
* Detected change in '/path/to/file1', reloading
The reloader can also ignore files using fnmatch
patterns with the
--exclude-patterns
option. Multiple patterns are separated with :
, or ;
on
Windows.
Open a Shell¶
To explore the data in your application, you can start an interactive Python
shell with the shell
command. An application
context will be active, and the app instance will be imported.
$ flask shell
Python 3.10.0 (default, Oct 27 2021, 06:59:51) [GCC 11.1.0] on linux
App: example [production]
Instance: /home/david/Projects/pallets/flask/instance
>>>
Use shell_context_processor()
to add other automatic imports.
Environment Variables From dotenv¶
The flask
command supports setting any option for any command with
environment variables. The variables are named like FLASK_OPTION
or
FLASK_COMMAND_OPTION
, for example FLASK_APP
or
FLASK_RUN_PORT
.
Rather than passing options every time you run a command, or environment variables every time you open a new terminal, you can use Flask’s dotenv support to set environment variables automatically.
If python-dotenv is installed, running the flask
command will set
environment variables defined in the files .env
and .flaskenv
.
You can also specify an extra file to load with the --env-file
option. Dotenv files can be used to avoid having to set --app
or
FLASK_APP
manually, and to set configuration using environment
variables similar to how some deployment services work.
Variables set on the command line are used over those set in .env
,
which are used over those set in .flaskenv
. .flaskenv
should be
used for public variables, such as FLASK_APP
, while .env
should not
be committed to your repository so that it can set private variables.
Directories are scanned upwards from the directory you call flask
from to locate the files.
The files are only loaded by the flask
command or calling
run()
. If you would like to load these files when running in
production, you should call load_dotenv()
manually.
Setting Command Options¶
Click is configured to load default values for command options from
environment variables. The variables use the pattern
FLASK_COMMAND_OPTION
. For example, to set the port for the run
command, instead of flask run --port 8000
:
$ export FLASK_RUN_PORT=8000
$ flask run
* Running on http://127.0.0.1:8000/
$ set -x FLASK_RUN_PORT 8000
$ flask run
* Running on http://127.0.0.1:8000/
> set FLASK_RUN_PORT=8000
> flask run
* Running on http://127.0.0.1:8000/
> $env:FLASK_RUN_PORT = 8000
> flask run
* Running on http://127.0.0.1:8000/
These can be added to the .flaskenv
file just like FLASK_APP
to
control default command options.
Disable dotenv¶
The flask
command will show a message if it detects dotenv files but
python-dotenv is not installed.
$ flask run
* Tip: There are .env files present. Do "pip install python-dotenv" to use them.
You can tell Flask not to load dotenv files even when python-dotenv is
installed by setting the FLASK_SKIP_DOTENV
environment variable.
This can be useful if you want to load them manually, or if you’re using
a project runner that loads them already. Keep in mind that the
environment variables must be set before the app loads or it won’t
configure as expected.
$ export FLASK_SKIP_DOTENV=1
$ flask run
$ set -x FLASK_SKIP_DOTENV 1
$ flask run
> set FLASK_SKIP_DOTENV=1
> flask run
> $env:FLASK_SKIP_DOTENV = 1
> flask run
Environment Variables From virtualenv¶
If you do not want to install dotenv support, you can still set environment
variables by adding them to the end of the virtualenv’s activate
script. Activating the virtualenv will set the variables.
Unix Bash, .venv/bin/activate
:
$ export FLASK_APP=hello
Fish, .venv/bin/activate.fish
:
$ set -x FLASK_APP hello
Windows CMD, .venv\Scripts\activate.bat
:
> set FLASK_APP=hello
Windows Powershell, .venv\Scripts\activate.ps1
:
> $env:FLASK_APP = "hello"
It is preferred to use dotenv support over this, since .flaskenv
can be
committed to the repository so that it works automatically wherever the project
is checked out.
Custom Commands¶
The flask
command is implemented using Click. See that project’s
documentation for full information about writing commands.
This example adds the command create-user
that takes the argument
name
.
import click
from flask import Flask
app = Flask(__name__)
@app.cli.command("create-user")
@click.argument("name")
def create_user(name):
...
$ flask create-user admin
This example adds the same command, but as user create
, a command in a
group. This is useful if you want to organize multiple related commands.
import click
from flask import Flask
from flask.cli import AppGroup
app = Flask(__name__)
user_cli = AppGroup('user')
@user_cli.command('create')
@click.argument('name')
def create_user(name):
...
app.cli.add_command(user_cli)
$ flask user create demo
See Running Commands with the CLI Runner for an overview of how to test your custom commands.
Registering Commands with Blueprints¶
If your application uses blueprints, you can optionally register CLI
commands directly onto them. When your blueprint is registered onto your
application, the associated commands will be available to the flask
command. By default, those commands will be nested in a group matching
the name of the blueprint.
from flask import Blueprint
bp = Blueprint('students', __name__)
@bp.cli.command('create')
@click.argument('name')
def create(name):
...
app.register_blueprint(bp)
$ flask students create alice
You can alter the group name by specifying the cli_group
parameter
when creating the Blueprint
object, or later with
app.register_blueprint(bp, cli_group='...')
.
The following are equivalent:
bp = Blueprint('students', __name__, cli_group='other')
# or
app.register_blueprint(bp, cli_group='other')
$ flask other create alice
Specifying cli_group=None
will remove the nesting and merge the
commands directly to the application’s level:
bp = Blueprint('students', __name__, cli_group=None)
# or
app.register_blueprint(bp, cli_group=None)
$ flask create alice
Application Context¶
Commands added using the Flask app’s cli
or
FlaskGroup
command()
decorator
will be executed with an application context pushed, so your custom
commands and parameters have access to the app and its configuration. The
with_appcontext()
decorator can be used to get the same
behavior, but is not needed in most cases.
import click
from flask.cli import with_appcontext
@click.command()
@with_appcontext
def do_work():
...
app.cli.add_command(do_work)
Plugins¶
Flask will automatically load commands specified in the flask.commands
entry point. This is useful for extensions that want to add commands when
they are installed. Entry points are specified in pyproject.toml
:
[project.entry-points."flask.commands"]
my-command = "my_extension.commands:cli"
Inside my_extension/commands.py
you can then export a Click
object:
import click
@click.command()
def cli():
...
Once that package is installed in the same virtualenv as your Flask project,
you can run flask my-command
to invoke the command.
Custom Scripts¶
When you are using the app factory pattern, it may be more convenient to define
your own Click script. Instead of using --app
and letting Flask load
your application, you can create your own Click object and export it as a
console script entry point.
Create an instance of FlaskGroup
and pass it the factory:
import click
from flask import Flask
from flask.cli import FlaskGroup
def create_app():
app = Flask('wiki')
# other setup
return app
@click.group(cls=FlaskGroup, create_app=create_app)
def cli():
"""Management script for the Wiki application."""
Define the entry point in pyproject.toml
:
[project.scripts]
wiki = "wiki:cli"
Install the application in the virtualenv in editable mode and the custom
script is available. Note that you don’t need to set --app
.
$ pip install -e .
$ wiki run
Errors in Custom Scripts
When using a custom script, if you introduce an error in your module-level code, the reloader will fail because it can no longer load the entry point.
The flask
command, being separate from your code, does not have
this issue and is recommended in most cases.
PyCharm Integration¶
PyCharm Professional provides a special Flask run configuration to run the development
server. For the Community Edition, and for other commands besides run
, you need to
create a custom run configuration. These instructions should be similar for any other
IDE you use.
In PyCharm, with your project open, click on Run from the menu bar and go to Edit Configurations. You’ll see a screen similar to this:
Once you create a configuration for the flask run
, you can copy and change it to
call any other command.
Click the + (Add New Configuration) button and select Python. Give the configuration a name such as “flask run”.
Click the Script path dropdown and change it to Module name, then input flask
.
The Parameters field is set to the CLI command to execute along with any arguments.
This example uses --app hello run --debug
, which will run the development server in
debug mode. --app hello
should be the import or file with your Flask app.
If you installed your project as a package in your virtualenv, you may uncheck the PYTHONPATH options. This will more accurately match how you deploy later.
Click OK to save and close the configuration. Select the configuration in the main PyCharm window and click the play button next to it to run the server.
Now that you have a configuration for flask run
, you can copy that configuration and
change the Parameters argument to run a different CLI command.