Configuration System (astropy.config
)#
Introduction#
The astropy
configuration system is designed to give users control of
various parameters used in astropy
or affiliated packages without delving
into the source code to make those changes.
Note
Before version 4.3 the configuration file was created by default when importing
astropy
. Its existence was required, which is no longer the case.
Getting Started#
The astropy
configuration options are most conveniently set by modifying
the configuration file. Since astropy
4.3 you need to create this file,
whereas before it was created automatically when importing astropy
. The
function create_config_file()
creates the file with all
of the default values commented out:
>>> from astropy.config import create_config_file
>>> create_config_file('astropy')
The exact location of this file can be obtained with
get_config_dir()
:
>>> from astropy.config import get_config_dir
>>> get_config_dir()
And you should see the location of your configuration directory. The standard
scheme generally puts your configuration directory in
$HOME/.astropy/config
. It can be customized with the environment variable
XDG_CONFIG_HOME
in which case the $XDG_CONFIG_HOME/astropy
directory
must exist. Note that XDG_CONFIG_HOME
comes from a Linux-centric
specification (see here for more
details), but astropy
will use this on any OS as a more general means to
know where user-specific configurations should be written.
Note
See Astropy’s Default Configuration File for the content of this configuration file.
Once you have found the configuration file, open it with your favorite editor.
It should have all of the sections you might want, with descriptions and the
type of value that is accepted. Feel free to edit this as you wish, and
any of these changes will be reflected when you next start astropy
. Or call
the reload_config()
function if you want to see your
changes immediately in your current astropy
session:
>>> from astropy.config import reload_config
>>> reload_config()
Note
If for whatever reason your $HOME/.astropy
directory is not accessible
(i.e., you have astropy
running somehow as root but you are not the root
user), the best solution is to set the XDG_CONFIG_HOME
and
XDG_CACHE_HOME
environment variables pointing to directories, and create
an astropy
directory inside each of those. Both the configuration and
data download systems will then use those directories and never try to
access the $HOME/.astropy
directory.
Using astropy.config
#
Accessing Values#
By convention, configuration parameters live inside of objects called
conf
at the root of each sub-package. For example, configuration
parameters related to data files live in astropy.utils.data.conf
.
This object has properties for getting and setting individual
configuration parameters. For instance, to get the default URL for
astropy
remote data, do:
>>> from astropy.utils.data import conf
>>> conf.dataurl
'http://data.astropy.org/'
Changing Values at Runtime#
Changing the persistent state of configuration values is done by editing the
configuration file as described above. Values can also, however, be
modified in an active Python session by setting any of the properties
on a conf
object, or using the
set_temp()
context_manager, as
long as the new value complies with the Item Types and Validation.
Example#
Suppose there is a part of your configuration file that looks like:
[utils.data]
# URL for astropy remote data site.
dataurl = http://data.astropy.org/
# Time to wait for remote data query (in seconds).
remote_timeout = 10.0
If you wish to modify the remote_timeout
value, but only for some small
section of your code, then set_temp()
takes care of resetting the value you changed when you are done using it:
>>> from astropy.utils.data import conf
>>> conf.remote_timeout
10.0
>>> # Change remote_timeout, but only inside the with-statement.
>>> with conf.set_temp('remote_timeout', 4.5):
... conf.remote_timeout
4.5
>>> conf.remote_timeout
10.0
You can also modify the values at runtime directly:
>>> conf.dataurl
'http://data.astropy.org/'
>>> conf.dataurl = 'http://astropydata.mywebsite.com'
>>> conf.dataurl
'http://astropydata.mywebsite.com'
>>> conf.remote_timeout
10.0
>>> conf.remote_timeout = 4.5
>>> conf.remote_timeout
4.5
Reloading Configuration#
Instead of modifying the variables in Python, you can also modify the
configuration files and then use the
reload()
method.
Example#
If you modify the configuration file to say:
[utils.data]
# URL for astropy remote data site.
dataurl = http://myotherdata.mywebsite.com/
# Time to wait for remote data query (in seconds).
remote_timeout = 6.3
And then run the following commands:
>>> conf.reload('dataurl')
>>> conf.reload('remote_timeout')
This should update the variables with the values from the configuration file:
>>> conf.dataurl
'http://myotherdata.mywebsite.com/'
>>> conf.remote_timeout
6.3
You can reload all configuration parameters of a conf
object at
once by calling reload()
with no
parameters:
>>> conf.reload()
Or if you want to reload all the configuration items at once, not just the ones
in the module conf
belongs to, use the
reload_config()
function:
>>> from astropy import config
>>> config.reload_config()
You can also reset a configuration parameter back to its default value with the
reset()
method. Note that this is the
default value defined in the Python code, which might be different from the
value in the configuration file:
>>> conf.reset('dataurl')
>>> conf.dataurl
'http://data.astropy.org/'
Exploring Configuration#
To see what configuration parameters are defined for a given conf
:
>>> from astropy.utils.iers import conf
>>> list(conf)
['auto_download',
'auto_max_age',
...,
'ietf_leap_second_auto_url']
You can see more detailed information about a configuration parameter by
calling the help()
method:
>>> conf.help("auto_max_age")
ConfigItem: auto_max_age
cfgtype='float'
defaultvalue=30.0
description='Maximum age (days) of predictive data before auto-downloading. See "Auto refresh behavior" in astropy.utils.iers documentation for details. Default is 30.'
module=astropy.utils.iers.iers
value=30.0
You can see information about all the configuration parameters by calling
help()
without arguments:
>>> conf.help()
Configuration parameters for `astropy.utils.iers`.
ConfigItem: auto_download
cfgtype='boolean'
...
You can also iterate through conf
in a dictionary-like fashion:
>>> for (key, cfgitem) in conf.items():
... print(f'{key} default value is {cfgitem.defaultvalue}')
auto_download default value is True
auto_max_age default value is 30.0
...
Upgrading astropy
#
Each time you upgrade to a new major version of astropy
, the
configuration parameters may have changed. If you want to create a new
configuration file, you can run:
>>> from astropy.config import create_config_file
>>> create_config_file('astropy', overwrite=True)
Note that this will overwrite the existing file, so if you modified it you may want to report your changes in the new file. Another possibility is to have a look at the Configuration System (astropy.config) to see what has changed.
Adding New Configuration Items#
Configuration items should be used wherever an option or setting is
needed that is either tied to a system configuration or should persist
across sessions of astropy
or an affiliated package. Options that may
affect the results of science calculations should not be configuration
items, but should instead be ScienceState
instances, so it is possible to reproduce science results without them being
affected by configuration parameters set in a particular environment.
Admittedly, this is only a guideline, as the precise cases where a
configuration item is preferred over, say, a keyword option for a
function is somewhat personal preference. It is the preferred form of
persistent configuration, however, and astropy
packages must all use
it (and it is recommended for affiliated packages).
The reference guide below describes the interface for creating a
conf
object with a number of configuration parameters. They
should be defined at the top level (i.e., in the __init__.py
of
each sub-package that has configuration items):
""" This is the docstring at the beginning of a module
"""
from astropy import config as _config
class Conf(_config.ConfigNamespace):
"""
Configuration parameters for my subpackage.
"""
some_setting = _config.ConfigItem(
1, 'Description of some_setting')
another_setting = _config.ConfigItem(
'string value', 'Description of another_setting')
some_list = _config.ConfigItem(
[], 'Description of some_list', cfgtype='list')
another_list = _config.ConfigItem(
['value'], 'Description of another_setting', cfgtype='list')
# Create an instance for the user
conf = Conf()
# implementation ...
def some_func():
# to get the value of some of these options, I might do:
something = conf.some_setting + 2
return conf.another_setting + ' Also, I added text.'
For an affiliated package called, for example, packagename
, the
configuration file can be generated with the
create_config_file()
function like this:
>>> from astropy.config import create_config_file
>>> create_config_file('packagename')
The following content would be written to the config file template:
[subpackage]
## Description of some_setting
# some_setting = 1
## Description of another_setting
# another_setting = foo
## Description of some_list
# some_list = ,
## Description of another_setting
# another_list = value,
Note that the key/value pairs are commented out. This will allow for
changing the default values in a future version of the package without
requiring the user to edit their configuration file to take advantage
of the new defaults. By convention, the descriptions of each
parameter are in comment lines starting with two hash characters
(##
) to distinguish them from commented out key/value pairs.
Item Types and Validation#
If not otherwise specified, a ConfigItem
gets its type
from the type of the defaultvalue
it is given when it is created. The item
can only ever have a value of this type, although in some cases a provided
value can be automatically converted. For example
>>> conf.auto_download
True
>>> conf.auto_download = 0
>>> conf.auto_download
False
succeeds because the int
0
can be safely converted to the
bool
False
. On the other hand
>>> from astropy.utils.data import conf
>>> conf.compute_hash_block_size
65536
>>> conf.compute_hash_block_size = 65536.0
Traceback (most recent call last):
...
TypeError: Provided value for configuration item compute_hash_block_size
not valid: the value "65536.0" is of the wrong type.
fails because converting a float
to an int
can lose
information.
Note that if you want the configuration item to be limited to a particular set
of options, you should pass in a list
as the defaultvalue
option.
The first entry in the list
will be taken as the default, and the
list
as a whole gives all of the valid options. For example:
an_option = ConfigItem(['a', 'b', 'c'],
"This option can be 'a', 'b', or 'c'")
conf.an_option = 'b' # succeeds
conf.an_option = 'c' # succeeds
conf.an_option = 'd' # fails!
conf.an_option = 6 # fails!
Finally, a ConfigItem
can be explicitly given a type
via the cfgtype
option:
an_int_setting = ConfigItem(
1, 'A description.', cfgtype='integer')
...
conf.an_int_setting = 3 # works fine
conf.an_int_setting = 4.2 # fails!
If the default value’s type does not match cfgtype
, the
ConfigItem
cannot be created.
In summary, the default behavior (of automatically determining cfgtype
)
is usually what you want. The main exception is when you want your
configuration item to be a list
. The default behavior will treat that
as a list of options unless you explicitly tell it that the
ConfigItem
itself is supposed to be a list
:
# The setting must be 1, 2 or 3
a_list_setting = ConfigItem([1, 2, 3], 'A description.')
# The setting must be a list and is [1, 2, 3] by default
a_list_setting = ConfigItem([1, 2, 3], 'A description.', cfgtype='list')
Details of all of the valid cfgtype
items can be found in the
validation section of the configobj manual.
Below is a list of the valid values here for quick reference:
'integer'
'float'
'boolean'
'string'
'ip_addr'
'list'
'tuple'
'int_list'
'float_list'
'bool_list'
'string_list'
'ip_addr_list'
'mixed_list'
'option'
'pass'
Usage Tips#
Keep in mind that ConfigItem
objects can be
changed at runtime by users. So it is always recommended to read their
values immediately before use instead of storing their initial
value to some other variable (or used as a default for a
function). For example, the following is incorrect usage:
>>> from astropy.utils.data import conf
>>> conf.remote_timeout = 1.0
>>> def some_func(val=conf.remote_timeout):
... return val + 2
This works only as long as the user does not change the value of the configuration item after the function has been defined, but if they do, the function will not know about the change:
>>> some_func()
3.0
>>> conf.remote_timeout = 3.0
>>> some_func() # naively should return 5.0, because 3 + 2 = 5
3.0
There are two ways around this. The typical/intended way is:
>>> def some_func():
... """
... The `SOME_SETTING` configuration item influences this output
... """
... return conf.remote_timeout + 2
>>> some_func()
5.0
>>> conf.remote_timeout = 5.0
>>> some_func()
7.0
Or, if the option needs to be available as a function parameter:
def some_func(val=None):
"""
If not specified, `val` is set by the `SOME_SETTING` configuration item.
"""
return (conf.remote_timeout if val is None else val) + 2
Customizing Config Location in Affiliated Packages#
The astropy.config
package can be used by other packages. By default creating
a config object in another package will lead to a configuration file taking the
name of that package in the astropy
config directory (i.e.,
<astropy_config>/packagename.cfg
).
It is possible to configure this behavior so that the a custom configuration
directory is created for your package, for example,
~/.packagename/packagename.cfg
. To do this, create a packagename.config
subpackage and put the following into the __init__.py
file:
import astropy.config as astropyconfig
class ConfigNamespace(astropyconfig.ConfigNamespace):
rootname = 'packagename'
class ConfigItem(astropyconfig.ConfigItem):
rootname = 'packagename'
Then replace all imports of astropy.config
with packagename.config
.
See Also#
Logging system (overview of astropy.logger
)