PyPy’s Configuration Handling¶
Due to more and more available configuration options it became quite annoying to hand the necessary options to where they are actually used and even more annoying to add new options. To circumvent these problems configuration management was introduced. There all the necessary options are stored in a configuration object, which is available nearly everywhere in the RPython toolchain and in the standard interpreter so that adding new options becomes trivial. Options are organized into a tree. Configuration objects can be created in different ways, there is support for creating an optparse command line parser automatically.
Main Assumption¶
Configuration objects are produced at the entry points and handed down to where they are actually used. This keeps configuration local but available everywhere and consistent. The configuration values are created using the command line.
API Details¶
The handling of options is split into two parts: the description of which options are available, what their possible values and defaults are and how they are organized into a tree. A specific choice of options is bundled into a configuration object which has a reference to its option description (and therefore makes sure that the configuration values adhere to the option description). This splitting is remotely similar to the distinction between types and instances in the type systems of the rtyper: the types describe what sort of fields the instances have.
The Options are organized in a tree. Every option has a name, as does every
option group. The parts of the full name of the option are separated by dots:
e.g. config.translation.thread
.
Description of Options¶
All the constructors take a name
and a doc
argument as first arguments
to give the option or option group a name and to document it. Most constructors
take a default
argument that specifies the default value of the option. If
this argument is not supplied the default value is assumed to be None
.
Most constructors
also take a cmdline
argument where you can specify what the command line
option should look like (for example cmdline=”-v –version”). If cmdline
is
not specified a default cmdline option is created that uses the name of the
option together with its full path. If None
is passed in as cmdline
then
no command line option is created at all.
Some options types can specify requirements to specify that a particular choice for one option works only if a certain choice for another option is used. A requirement is specified using a list of pairs. The first element of the pair gives the path of the option that is required to be set and the second element gives the required value.
OptionDescription
¶
This class is used to group suboptions.
__init__(self, name, doc, children)
children
is a list of option descriptions (includingOptionDescription
instances for nested namespaces).
ChoiceOption
¶
Represents a choice out of several objects. The option can also have the value
None
.
__init__(self, name, doc, values, default=None, requires=None, cmdline=DEFAULT)
values
is a list of values the option can possibly take,requires
is a dictionary mapping values to lists of of two-element tuples.
BoolOption
¶
Represents a choice between True
and False
.
__init__(self, name, doc, default=None, requires=None, suggests=None, cmdline=DEFAULT, negation=True)
default
specifies the default value of the option.requires
is a list of two-element tuples describing the requirements when the option is set to true,suggests
is a list of the same structure but the options in there are only suggested, not absolutely necessary. The difference is small: if the current option is set to True, both the required and the suggested options are set. The required options cannot be changed later, though.negation
specifies whether the negative commandline option should be generated.
IntOption
¶
Represents a choice of an integer.
__init__(self, name, doc, default=None, cmdline=DEFAULT)
FloatOption
¶
Represents a choice of a floating point number.
__init__(self, name, doc, default=None, cmdline=DEFAULT)
StrOption
¶
Represents the choice of a string.
__init__(self, name, doc, default=None, cmdline=DEFAULT)
Configuration Objects¶
Config
objects hold the chosen values for the options (of the default,
if no choice was made). A Config
object is described by an
OptionDescription
instance. The attributes of the Config
objects are the
names of the children of the OptionDescription
. Example:
>>> from rpython.config.config import OptionDescription, Config, BoolOption
>>> descr = OptionDescription("options", "", [
... BoolOption("bool", "", default=False)])
>>>
>>> config = Config(descr)
>>> config.bool
False
>>> config.bool = True
>>> config.bool
True
Description of the (useful) methods on Config
:
__init__(self, descr, **overrides)
:
descr
is an instance ofOptionDescription
that describes the configuration object.overrides
can be used to set different default values (see methodoverride
).override(self, overrides)
:override default values. This marks the overridden values as defaults, which makes it possible to change them (you can usually change values only once).
overrides
is a dictionary of path strings to values.set(self, **kwargs)
:“do what I mean”-interface to option setting. Searches all paths starting from that config for matches of the optional arguments and sets the found option if the match is not ambiguous.
Production of optparse Parsers¶
To produce an optparse parser use the function to_optparse
. It will create
an option parser using callbacks in such a way that the config object used for
creating the parser is updated automatically.
to_optparse(config, useoptions=None, parser=None)
:Returns an optparse parser.
config
is the configuration object for which to create the parser.useoptions
is a list of options for which to create command line options. It can contain full paths to options or also paths to an option description plus an additional “.*” to produce command line options for all sub-options of that description. Ifuseoptions
isNone
, then all sub-options are turned into cmdline options.parser
can be an existing parser object, ifNone
is passed in, then a new one is created.
The usage of config objects in PyPy¶
The two large parts of PyPy, the Python interpreter and the RPython
toolchain, have two separate sets of options. The translation toolchain options
can be found on the config
attribute of all TranslationContext
instances and are described in rpython/config/translationoption.py. The interpreter options
are attached to the object space, also under the name config
and are
described in pypy/config/pypyoption.py. Both set of options are
documented in the Configuration Options for PyPy section.