Configuration ​
class
flask.Config(root_path, defaults=None
) ​
Works exactly like a dict but provides ways to fill it from files or special dictionaries. There are two common patterns to populate the config.
Either you can fill the config from a config file:
app.config.from_pyfile('yourconfig.cfg')
app.config.from_pyfile('yourconfig.cfg')
Or alternatively you can define the configuration options in the module that calls from_object()
or provide an import path to a module that should be loaded. It is also possible to tell it to use the same module and with that provide the configuration values just before the call:
DEBUG = True
SECRET_KEY = 'development key'
app.config.from_object(__name__)
DEBUG = True
SECRET_KEY = 'development key'
app.config.from_object(__name__)
In both cases (loading from any Python file or loading from modules), only uppercase keys are added to the config. This makes it possible to use lowercase values in the config file for temporary values that are not added to the config or to define the config keys in the same file that implements the application.
Probably the most interesting way to load configurations is from an environment variable pointing to a file:
app.config.from_envvar('YOURAPPLICATION_SETTINGS')
app.config.from_envvar('YOURAPPLICATION_SETTINGS')
In this case before launching the application you have to set this environment variable to the file you want to use. On Linux and OS X use the export statement:
export YOURAPPLICATION_SETTINGS='/path/to/config/file'
export YOURAPPLICATION_SETTINGS='/path/to/config/file'
On windows use set instead.
Parameters:
root_path (str | os.PathLike)
– path to which files are read relative from. When the config object is created by the application, this is the application’sroot_path
.defaults (dict | None)
– an optional dictionary of default values
from_envvar(
variable_name, silent=False
) ​Loads a configuration from an environment variable pointing to a configuration file. This is basically just a shortcut with nicer error messages for this line of code:
pythonapp.config.from_pyfile(os.environ['YOURAPPLICATION_SETTINGS'])
app.config.from_pyfile(os.environ['YOURAPPLICATION_SETTINGS'])
Parameters:
variable_name (str)
– name of the environment variablesilent (bool)
– set toTrue
if you want silent failure for missing files.
Returns:
True
if the file was loaded successfully.Return type:
bool
from_file(
filename, load, silent=False, text=True
) ​Update the values in the config from a file that is loaded using the load parameter. The loaded data is passed to the
from_mapping()
method.pythonimport json app.config.from_file("config.json", load=json.load) import tomllib app.config.from_file("config.toml", load=tomllib.load, text=False)
import json app.config.from_file("config.json", load=json.load) import tomllib app.config.from_file("config.toml", load=tomllib.load, text=False)
Parameters:
filename (str | PathLike)
– The path to the data file. This can be an absolute path or relative to the config root path.load
(Callable[[Reader], Mapping]
whereReader
implements aread
method.) – A callable that takes a file handle and returns a mapping of loaded data from the file.silent (bool)
– Ignore the file if it doesn’t exist.text (bool)
– Open the file in text or binary mode.
Returns:
True
if the file was loaded successfully.Return type:
bool
Changed in version 2.3: The text parameter was added.
Changelog
New in version 2.0.
from_mapping(
mapping=None, **kwargs
) ​Updates the config like update() ignoring items with non-upper keys.
Returns: Always returns
True
.Parameters:
mapping (Mapping[str, Any] | None) –
kwargs (Any) –
Return type:
bool
Changelog
New in version 0.11.
from_object(
obj
) ​Updates the values from the given object. An object can be of one of the following two types:
a string: in this case the object with that name will be imported
an actual object reference: that object is used directly
Objects are usually either modules or classes.
from_object()
loads only the uppercase attributes of the module/class. Adict
object will not work withfrom_object()
because the keys of adict
are not attributes of the di`ct class.Example of module-based configuration:
pythonapp.config.from_object('yourapplication.default_config') from yourapplication import default_config app.config.from_object(default_config)
app.config.from_object('yourapplication.default_config') from yourapplication import default_config app.config.from_object(default_config)
Nothing is done to the object before loading. If the object is a class and has
@property
attributes, it needs to be instantiated before being passed to this method.You should not use this function to load the actual configuration but rather configuration defaults. The actual config should be loaded with
from_pyfile()
and ideally from a location not within the package because the package might be installed system wide.See Development / Production for an example of class-based configuration using
from_object()
.Parameters:
obj (object | str)
– an import name or object
Return type:
None
from_prefixed_env(
prefix='FLASK', *, loads=<function loads>
) ​Load any environment variables that start with
FLASK_
, dropping the prefix from the env key for the config key. Values are passed through a loading function to attempt to convert them to more specific types than strings.Keys are loaded in
sorted()
order.The default loading function attempts to parse values as any valid
JSON
type, including dicts and lists.Specific items in nested dicts can be set by separating the keys with double underscores
(__)
. If an intermediate key doesn’t exist, it will be initialized to an empty dict.Parameters:
prefix (str)
– Load env vars that start with this prefix, separated with an underscore(_)
.loads (Callable[[str], Any])
– Pass each string value to this function and use the returned value as the config value. If any error is raised it is ignored and the value remains a string. The default isjson.loads()
.Return type:
bool
Changelog
New in version 2.1.
from_pyfile(
filename, silent=False)
​Updates the values in the config from a Python file. This function behaves as if the file was imported as module with the
from_object()
function.Parameters:
filename (str | PathLike)
– the filename of the config. This can either be an absolute filename or a filename relative to the root path.silent (bool)
– set toTrue
if you want silent failure for missing files.
Returns:
True
if the file was loaded successfully.Return type:
bool
Changelog
New in version 0.7: silent parameter.
get_namespace(
namespace, lowercase=True, trim_namespace=True
) ​Returns a dictionary containing a subset of configuration options that match the specified namespace/prefix. Example usage:
pythonapp.config['IMAGE_STORE_TYPE'] = 'fs' app.config['IMAGE_STORE_PATH'] = '/var/app/images' app.config['IMAGE_STORE_BASE_URL'] = 'http://img.website.com' image_store_config = app.config.get_namespace('IMAGE_STORE_')
app.config['IMAGE_STORE_TYPE'] = 'fs' app.config['IMAGE_STORE_PATH'] = '/var/app/images' app.config['IMAGE_STORE_BASE_URL'] = 'http://img.website.com' image_store_config = app.config.get_namespace('IMAGE_STORE_')
The resulting dictionary
image_store_config
would look like:json{ 'type': 'fs', 'path': '/var/app/images', 'base_url': 'http://img.website.com' }
{ 'type': 'fs', 'path': '/var/app/images', 'base_url': 'http://img.website.com' }
This is often useful when configuration options map directly to keyword arguments in functions or class constructors.
Parameters:
namespace (str)
– a configuration namespacelowercase (bool)
– a flag indicating if the keys of the resulting dictionary should be lowercasetrim_namespace (bool)
– a flag indicating if the keys of the resulting dictionary should not include the namespace
Return type:
dict[str, Any]
Changelog
New in version 0.11.