Settei

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Configuration utility for common Python applications and services. FYI, “settei” (設定) means settings in Japanese. :)

Loading a configuration is easy

Suppose you use Flask with Settei.

from flask import Flask
from settei import Configuration, config_property

class WebConfiguration(Configuration):
   """Load Configuration::

      [web]
      debug = true

   """

   #: debug option
   debug = config_property('web.debug', bool, default=False)


conf = WebConfiguration.from_path(pathlib.Path('.') / 'dev.toml')
app = Flask(__name__)


if __name__ == '__main__':
    app.run(debug=conf.debug)

settei — App object holding configuration

copyright:
  1. 2016—2017 Spoqa, Inc.
license:

Apache License 2.0, see LICENSE for more details.

settei.base — Basic app object

New in version 0.2.0.

exception settei.base.ConfigError

The base exception class for errors releated to Configuration and config_property().

New in version 0.4.0.

exception settei.base.ConfigKeyError

An exception class rises when there’s no a configuration key. A subtype of ConfigError and KeyError.

New in version 0.4.0.

exception settei.base.ConfigTypeError

An exception class rises when the configured value is not of a type the field expects.

New in version 0.4.0.

class settei.base.Configuration(config: typing.Mapping[str, object] = {}, **kwargs)

Application instance with its settings e.g. database. It implements read-only Mapping protocol as well, so you can treat it as a dictionary of string keys.

Changed in version 0.4.0: Prior to 0.4.0, it had raised Python’s built-in KeyError on missing keys, but since 0.4.0 it became to raise ConfigKeyError, a subtype of KeyError, instead.

classmethod from_file(file) → settei.base.Configuration

Load settings from the given file and instantiate an Configuration instance from that.

Parameters:file – the file object that contains TOML settings
Returns:an instantiated configuration
Return type:Configuration
classmethod from_path()

Load settings from the given path and instantiate an Configuration instance from that.

Parameters:path (pathlib.Path) – the file path that contains TOML settings
Returns:an instantiated configuration
Return type:Configuration
exception settei.base.ConfigValueError

An execption class rises when the configured value is somewhat invalid.

New in version 0.4.0.

exception settei.base.ConfigWarning

Warning category which raised when a default configuration is used instead due to missing required configuration.

class settei.base.config_object_property(key: str, cls, docstring: str = None, **kwargs) → None

Similar to config_property except it purposes to reprsent more complex objects than simple values. It can be utilized as dependency injector.

Suppose a field declared as:

from werkzeug.contrib.cache import BaseCache

class App(Configuration):
    cache = config_object_property('cache', BaseCache)

Also a configuration:

[cache]
class = "werkzeug.contrib.cache:RedisCache"
host = "a.nodes.redis-cluster.local"
port = 6379
db = 0

The above instantiates the following object:

from werkzeug.contrib.cache import RedisCache
RedisCache(host='a.nodes.redis-cluster.local', port=6380, db=0)

There’s a special field named * which is for positional arguments as well:

[cache]
class = "werkzeug.contrib.cache:RedisCache"
"*" = [
    "a.nodes.redis-cluster.local",
    6379,
]
db = 0

The above configuration is equivalent to the following Python code:

from werkzeug.contrib.cache import RedisCache RedisCache(‘a.nodes.redis-cluster.local’, 6380, db=0)

New in version 0.4.0.

class settei.base.config_property(key: str, cls, docstring: str = None, **kwargs) → None

Declare configuration key with type hints, default value, and docstring.

Parameters:
  • key (str) – the dotted string of key path. for example abc.def looks up config['abc']['def']
  • cls (type) – the allowed type of the configuration
  • docstring (str) – optional documentation about the configuration. it will be set to __doc__ attribute
  • default – keyword only argument. optional default value used for missing case. cannot be used with default_func at a time
  • default_func (collections.abc.Callable) – keyword only argument. optional callable which returns a default value for missing case. it has to take an App mapping, and return a default value. cannot be used with default at a time
  • default_warning (bool) – keyword only argument. whether to warn when default value is used. does not warn by default. this option is only available when default value is provided

Changed in version 0.4.0: Prior to 0.4.0, it had raised Python’s built-in KeyError on missing keys, but since 0.4.0 it became to raise ConfigKeyError, a subtype of KeyError, instead.

In the same manner, while prior to 0.4.0, it had raised Python’s built-in TypeError when a configured value is not of a type it expects, but since 0.4.0 it became to raise ConfigTypeError instead. ConfigTypeError is also a subtype of TypeError.

docstring

(str) The propertly indented __doc__ string.

settei.base.get_union_types(type_) → bool

Return a tuple of the given Union type_‘s parameters.

>>> get_union_types(typing.Union[int, str, bool])
(int, str, bool)

If it’s not an Union type or even not a type it returns None.

New in version 0.3.0.

settei.presets — Richer presets for several frameworks

New in version 0.2.0.

settei.presets.celery — Preset for Celery
class settei.presets.celery.WorkerConfiguration(config: typing.Mapping[str, object] = {}, **kwargs)

The application object mixin which holds configuration for Celery.

on_worker_loaded(app)

Be invoked when a Celery app is ready.

Parameters:app (celery.Celery) – a ready celery app
worker_broker_url

The url of the broker used by Celery. See also Celery’s and Kombu’s docs about broker urls:

http://docs.celeryproject.org/en/latest/configuration.html#broker-url http://kombu.readthedocs.org/en/latest/userguide/connections.html#connection-urls

worker_config

(typing.Mapping[str, object]) The configuration maping for worker that will go to Celery.conf.

worker_result_backend

The backend used by Celery to store task results. See also Celery’s docs about result backends:

http://docs.celeryproject.org/en/latest/configuration.html#celery-result-backend

worker_schedule

(typing.Mapping[str, typing.Mapping[str, object]]) The schedule table for Celery Beat, scheduler for periodic tasks.

There’s some preprocessing before reading configuration. Since TOML doesn’t have custom types, you can’t represent timedelta or crontab values from the configuration file. To workaround the problem, it evaluates strings like 'f()' pattern if they are appeared in a schedule field.

For example, if the following configuration is present:

[worker.celerybeat_schedule.add-every-30-seconds]
task = "tasks.add"
schedule = "timedelta(seconds=30)"  # string to be evaluated
args = [16, 16]

it becomes translated to:

CELERYBEAT_SCHEDULE = {
    'add-every-30-seconds': {
        'task': 'tasks.add',
        'schedule': datetime.timedelta(seconds=30),  # evaluated!
        'args': (16, 16),
    },
}

Note that although timedelta and crontab is already present in the context, you need to import things if other types. It can also parse and evaluate the patterns like 'module.path:func()'.

Also args fields are translated from array to tuple.

See also Celery’s docs about periodic tasks:

http://docs.celeryproject.org/en/latest/userguide/periodic-tasks.html

New in version 0.2.2.

settei.presets.flask — Preset for Flask apps

New in version 0.2.0.

settei.presets.logging — Preset for logging configuration

New in version 0.2.0.

Preset for apps holding logging configuration. Logging can be configured through TOML file e.g.:

[logging]
version = 1

[logging.loggers.flask]
handlers = ["stderr"]

[logging.loggers."urllib.request"]
handlers = ["stderr"]

[logging.loggers.werkzeug]
handlers = ["stderr"]

[logging.handlers.stderr]
class = "logging.StreamHandler"
level = "INFO"
stream = "ext://sys.stderr"
class settei.presets.logging.LoggingConfiguration(config: typing.Mapping[str, object] = {}, **kwargs)

Hold configuration for logging.

configure_logging() → None

Configure logging.

settei.version — Version data

New in version 0.2.0.

settei.version.VERSION = '0.4.0'

(str) The version string e.g. '1.2.3'.

settei.version.VERSION_INFO = (0, 4, 0)

(typing.Tuple[int, int, int]) The triple of version numbers e.g. (1, 2, 3).

Changlog

Verison 0.4.0

Released on May 14, 2017.

Version 0.3.0

Released on January 22, 2017.

Version 0.2.2

Released on November 18, 2016. Note that the version 0.2.1 has never been released due to our mistake on versioning.

Version 0.2.0

Released on July 13, 2016.

Version 0.1.1

Released on April 15, 2016.

Version 0.1.0

Released on April 1, 2016. Initial release.

Indices and tables