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Current Directory: /opt/imh-python/lib/python3.9/site-packages/traitlets/config
Viewing File: /opt/imh-python/lib/python3.9/site-packages/traitlets/config/configurable.py
"""A base class for objects that are configurable."""

# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
from __future__ import annotations

import logging
import typing as t
from copy import deepcopy
from textwrap import dedent

from traitlets.traitlets import (
    Any,
    Container,
    Dict,
    HasTraits,
    Instance,
    TraitType,
    default,
    observe,
    observe_compat,
    validate,
)
from traitlets.utils import warnings
from traitlets.utils.bunch import Bunch
from traitlets.utils.text import indent, wrap_paragraphs

from .loader import Config, DeferredConfig, LazyConfigValue, _is_section_key

# -----------------------------------------------------------------------------
# Helper classes for Configurables
# -----------------------------------------------------------------------------

if t.TYPE_CHECKING:
    LoggerType = t.Union[logging.Logger, logging.LoggerAdapter[t.Any]]
else:
    LoggerType = t.Any


class ConfigurableError(Exception):
    pass


class MultipleInstanceError(ConfigurableError):
    pass


# -----------------------------------------------------------------------------
# Configurable implementation
# -----------------------------------------------------------------------------


class Configurable(HasTraits):
    config = Instance(Config, (), {})
    parent = Instance("traitlets.config.configurable.Configurable", allow_none=True)

    def __init__(self, **kwargs: t.Any) -> None:
        """Create a configurable given a config config.

        Parameters
        ----------
        config : Config
            If this is empty, default values are used. If config is a
            :class:`Config` instance, it will be used to configure the
            instance.
        parent : Configurable instance, optional
            The parent Configurable instance of this object.

        Notes
        -----
        Subclasses of Configurable must call the :meth:`__init__` method of
        :class:`Configurable` *before* doing anything else and using
        :func:`super`::

            class MyConfigurable(Configurable):
                def __init__(self, config=None):
                    super(MyConfigurable, self).__init__(config=config)
                    # Then any other code you need to finish initialization.

        This ensures that instances will be configured properly.
        """
        parent = kwargs.pop("parent", None)
        if parent is not None:
            # config is implied from parent
            if kwargs.get("config", None) is None:
                kwargs["config"] = parent.config
            self.parent = parent

        config = kwargs.pop("config", None)

        # load kwarg traits, other than config
        super().__init__(**kwargs)

        # record traits set by config
        config_override_names = set()

        def notice_config_override(change: Bunch) -> None:
            """Record traits set by both config and kwargs.

            They will need to be overridden again after loading config.
            """
            if change.name in kwargs:
                config_override_names.add(change.name)

        self.observe(notice_config_override)

        # load config
        if config is not None:
            # We used to deepcopy, but for now we are trying to just save
            # by reference.  This *could* have side effects as all components
            # will share config. In fact, I did find such a side effect in
            # _config_changed below. If a config attribute value was a mutable type
            # all instances of a component were getting the same copy, effectively
            # making that a class attribute.
            # self.config = deepcopy(config)
            self.config = config
        else:
            # allow _config_default to return something
            self._load_config(self.config)
        self.unobserve(notice_config_override)

        for name in config_override_names:
            setattr(self, name, kwargs[name])

    # -------------------------------------------------------------------------
    # Static trait notifications
    # -------------------------------------------------------------------------

    @classmethod
    def section_names(cls) -> list[str]:
        """return section names as a list"""
        return [
            c.__name__
            for c in reversed(cls.__mro__)
            if issubclass(c, Configurable) and issubclass(cls, c)
        ]

    def _find_my_config(self, cfg: Config) -> t.Any:
        """extract my config from a global Config object

        will construct a Config object of only the config values that apply to me
        based on my mro(), as well as those of my parent(s) if they exist.

        If I am Bar and my parent is Foo, and their parent is Tim,
        this will return merge following config sections, in this order::

            [Bar, Foo.Bar, Tim.Foo.Bar]

        With the last item being the highest priority.
        """
        cfgs = [cfg]
        if self.parent:
            cfgs.append(self.parent._find_my_config(cfg))
        my_config = Config()
        for c in cfgs:
            for sname in self.section_names():
                # Don't do a blind getattr as that would cause the config to
                # dynamically create the section with name Class.__name__.
                if c._has_section(sname):
                    my_config.merge(c[sname])
        return my_config

    def _load_config(
        self,
        cfg: Config,
        section_names: list[str] | None = None,
        traits: dict[str, TraitType[t.Any, t.Any]] | None = None,
    ) -> None:
        """load traits from a Config object"""

        if traits is None:
            traits = self.traits(config=True)
        if section_names is None:
            section_names = self.section_names()

        my_config = self._find_my_config(cfg)

        # hold trait notifications until after all config has been loaded
        with self.hold_trait_notifications():
            for name, config_value in my_config.items():
                if name in traits:
                    if isinstance(config_value, LazyConfigValue):
                        # ConfigValue is a wrapper for using append / update on containers
                        # without having to copy the initial value
                        initial = getattr(self, name)
                        config_value = config_value.get_value(initial)
                    elif isinstance(config_value, DeferredConfig):
                        # DeferredConfig tends to come from CLI/environment variables
                        config_value = config_value.get_value(traits[name])
                    # We have to do a deepcopy here if we don't deepcopy the entire
                    # config object. If we don't, a mutable config_value will be
                    # shared by all instances, effectively making it a class attribute.
                    setattr(self, name, deepcopy(config_value))
                elif not _is_section_key(name) and not isinstance(config_value, Config):
                    from difflib import get_close_matches

                    if isinstance(self, LoggingConfigurable):
                        assert self.log is not None
                        warn = self.log.warning
                    else:

                        def warn(msg: t.Any) -> None:
                            return warnings.warn(msg, UserWarning, stacklevel=9)

                    matches = get_close_matches(name, traits)
                    msg = f"Config option `{name}` not recognized by `{self.__class__.__name__}`."

                    if len(matches) == 1:
                        msg += f"  Did you mean `{matches[0]}`?"
                    elif len(matches) >= 1:
                        msg += "  Did you mean one of: `{matches}`?".format(
                            matches=", ".join(sorted(matches))
                        )
                    warn(msg)

    @observe("config")
    @observe_compat
    def _config_changed(self, change: Bunch) -> None:
        """Update all the class traits having ``config=True`` in metadata.

        For any class trait with a ``config`` metadata attribute that is
        ``True``, we update the trait with the value of the corresponding
        config entry.
        """
        # Get all traits with a config metadata entry that is True
        traits = self.traits(config=True)

        # We auto-load config section for this class as well as any parent
        # classes that are Configurable subclasses.  This starts with Configurable
        # and works down the mro loading the config for each section.
        section_names = self.section_names()
        self._load_config(change.new, traits=traits, section_names=section_names)

    def update_config(self, config: Config) -> None:
        """Update config and load the new values"""
        # traitlets prior to 4.2 created a copy of self.config in order to trigger change events.
        # Some projects (IPython < 5) relied upon one side effect of this,
        # that self.config prior to update_config was not modified in-place.
        # For backward-compatibility, we must ensure that self.config
        # is a new object and not modified in-place,
        # but config consumers should not rely on this behavior.
        self.config = deepcopy(self.config)
        # load config
        self._load_config(config)
        # merge it into self.config
        self.config.merge(config)
        # TODO: trigger change event if/when dict-update change events take place
        # DO NOT trigger full trait-change

    @classmethod
    def class_get_help(cls, inst: HasTraits | None = None) -> str:
        """Get the help string for this class in ReST format.

        If `inst` is given, its current trait values will be used in place of
        class defaults.
        """
        assert inst is None or isinstance(inst, cls)
        final_help = []
        base_classes = ", ".join(p.__name__ for p in cls.__bases__)
        final_help.append(f"{cls.__name__}({base_classes}) options")
        final_help.append(len(final_help[0]) * "-")
        for _, v in sorted(cls.class_traits(config=True).items()):
            help = cls.class_get_trait_help(v, inst)
            final_help.append(help)
        return "\n".join(final_help)

    @classmethod
    def class_get_trait_help(
        cls,
        trait: TraitType[t.Any, t.Any],
        inst: HasTraits | None = None,
        helptext: str | None = None,
    ) -> str:
        """Get the helptext string for a single trait.

        :param inst:
            If given, its current trait values will be used in place of
            the class default.
        :param helptext:
            If not given, uses the `help` attribute of the current trait.
        """
        assert inst is None or isinstance(inst, cls)
        lines = []
        header = f"--{cls.__name__}.{trait.name}"
        if isinstance(trait, (Container, Dict)):
            multiplicity = trait.metadata.get("multiplicity", "append")
            if isinstance(trait, Dict):
                sample_value = "<key-1>=<value-1>"
            else:
                sample_value = "<%s-item-1>" % trait.__class__.__name__.lower()
            if multiplicity == "append":
                header = f"{header}={sample_value}..."
            else:
                header = f"{header} {sample_value}..."
        else:
            header = f"{header}=<{trait.__class__.__name__}>"
        # header = "--%s.%s=<%s>" % (cls.__name__, trait.name, trait.__class__.__name__)
        lines.append(header)

        if helptext is None:
            helptext = trait.help
        if helptext != "":
            helptext = "\n".join(wrap_paragraphs(helptext, 76))
            lines.append(indent(helptext))

        if "Enum" in trait.__class__.__name__:
            # include Enum choices
            lines.append(indent("Choices: %s" % trait.info()))

        if inst is not None:
            lines.append(indent(f"Current: {getattr(inst, trait.name or '')!r}"))
        else:
            try:
                dvr = trait.default_value_repr()
            except Exception:
                dvr = None  # ignore defaults we can't construct
            if dvr is not None:
                if len(dvr) > 64:
                    dvr = dvr[:61] + "..."
                lines.append(indent("Default: %s" % dvr))

        return "\n".join(lines)

    @classmethod
    def class_print_help(cls, inst: HasTraits | None = None) -> None:
        """Get the help string for a single trait and print it."""
        print(cls.class_get_help(inst))  # noqa: T201

    @classmethod
    def _defining_class(
        cls, trait: TraitType[t.Any, t.Any], classes: t.Sequence[type[HasTraits]]
    ) -> type[Configurable]:
        """Get the class that defines a trait

        For reducing redundant help output in config files.
        Returns the current class if:
        - the trait is defined on this class, or
        - the class where it is defined would not be in the config file

        Parameters
        ----------
        trait : Trait
            The trait to look for
        classes : list
            The list of other classes to consider for redundancy.
            Will return `cls` even if it is not defined on `cls`
            if the defining class is not in `classes`.
        """
        defining_cls = cls
        assert trait.name is not None
        for parent in cls.mro():
            if (
                issubclass(parent, Configurable)
                and parent in classes
                and parent.class_own_traits(config=True).get(trait.name, None) is trait
            ):
                defining_cls = parent
        return defining_cls

    @classmethod
    def class_config_section(cls, classes: t.Sequence[type[HasTraits]] | None = None) -> str:
        """Get the config section for this class.

        Parameters
        ----------
        classes : list, optional
            The list of other classes in the config file.
            Used to reduce redundant information.
        """

        def c(s: str) -> str:
            """return a commented, wrapped block."""
            s = "\n\n".join(wrap_paragraphs(s, 78))

            return "## " + s.replace("\n", "\n#  ")

        # section header
        breaker = "#" + "-" * 78
        parent_classes = ", ".join(p.__name__ for p in cls.__bases__ if issubclass(p, Configurable))

        s = f"# {cls.__name__}({parent_classes}) configuration"
        lines = [breaker, s, breaker]
        # get the description trait
        desc = cls.class_traits().get("description")
        if desc:
            desc = desc.default_value
        if not desc:
            # no description from trait, use __doc__
            desc = getattr(cls, "__doc__", "")  # type:ignore[arg-type]
        if desc:
            lines.append(c(desc))  # type:ignore[arg-type]
            lines.append("")

        for name, trait in sorted(cls.class_traits(config=True).items()):
            default_repr = trait.default_value_repr()

            if classes:
                defining_class = cls._defining_class(trait, classes)
            else:
                defining_class = cls
            if defining_class is cls:
                # cls owns the trait, show full help
                if trait.help:
                    lines.append(c(trait.help))
                if "Enum" in type(trait).__name__:
                    # include Enum choices
                    lines.append("#  Choices: %s" % trait.info())
                lines.append("#  Default: %s" % default_repr)
            else:
                # Trait appears multiple times and isn't defined here.
                # Truncate help to first line + "See also Original.trait"
                if trait.help:
                    lines.append(c(trait.help.split("\n", 1)[0]))
                lines.append(f"#  See also: {defining_class.__name__}.{name}")

            lines.append(f"# c.{cls.__name__}.{name} = {default_repr}")
            lines.append("")
        return "\n".join(lines)

    @classmethod
    def class_config_rst_doc(cls) -> str:
        """Generate rST documentation for this class' config options.

        Excludes traits defined on parent classes.
        """
        lines = []
        classname = cls.__name__
        for _, trait in sorted(cls.class_traits(config=True).items()):
            ttype = trait.__class__.__name__

            if not trait.name:
                continue
            termline = classname + "." + trait.name

            # Choices or type
            if "Enum" in ttype:
                # include Enum choices
                termline += " : " + trait.info_rst()  # type:ignore[attr-defined]
            else:
                termline += " : " + ttype
            lines.append(termline)

            # Default value
            try:
                dvr = trait.default_value_repr()
            except Exception:
                dvr = None  # ignore defaults we can't construct
            if dvr is not None:
                if len(dvr) > 64:
                    dvr = dvr[:61] + "..."
                # Double up backslashes, so they get to the rendered docs
                dvr = dvr.replace("\\n", "\\\\n")
                lines.append(indent("Default: ``%s``" % dvr))
                lines.append("")

            help = trait.help or "No description"
            lines.append(indent(dedent(help)))

            # Blank line
            lines.append("")

        return "\n".join(lines)


class LoggingConfigurable(Configurable):
    """A parent class for Configurables that log.

    Subclasses have a log trait, and the default behavior
    is to get the logger from the currently running Application.
    """

    log = Any(help="Logger or LoggerAdapter instance", allow_none=False)

    @validate("log")
    def _validate_log(self, proposal: Bunch) -> LoggerType:
        if not isinstance(proposal.value, (logging.Logger, logging.LoggerAdapter)):
            # warn about unsupported type, but be lenient to allow for duck typing
            warnings.warn(
                f"{self.__class__.__name__}.log should be a Logger or LoggerAdapter,"
                f" got {proposal.value}.",
                UserWarning,
                stacklevel=2,
            )
        return t.cast(LoggerType, proposal.value)

    @default("log")
    def _log_default(self) -> LoggerType:
        if isinstance(self.parent, LoggingConfigurable):
            assert self.parent is not None
            return t.cast(logging.Logger, self.parent.log)
        from traitlets import log

        return log.get_logger()

    def _get_log_handler(self) -> logging.Handler | None:
        """Return the default Handler

        Returns None if none can be found

        Deprecated, this now returns the first log handler which may or may
        not be the default one.
        """
        if not self.log:
            return None
        logger: logging.Logger = (
            self.log if isinstance(self.log, logging.Logger) else self.log.logger
        )
        if not getattr(logger, "handlers", None):
            # no handlers attribute or empty handlers list
            return None
        return logger.handlers[0]


CT = t.TypeVar("CT", bound="SingletonConfigurable")


class SingletonConfigurable(LoggingConfigurable):
    """A configurable that only allows one instance.

    This class is for classes that should only have one instance of itself
    or *any* subclass. To create and retrieve such a class use the
    :meth:`SingletonConfigurable.instance` method.
    """

    _instance = None

    @classmethod
    def _walk_mro(cls) -> t.Generator[type[SingletonConfigurable], None, None]:
        """Walk the cls.mro() for parent classes that are also singletons

        For use in instance()
        """

        for subclass in cls.mro():
            if (
                issubclass(cls, subclass)
                and issubclass(subclass, SingletonConfigurable)
                and subclass != SingletonConfigurable
            ):
                yield subclass

    @classmethod
    def clear_instance(cls) -> None:
        """unset _instance for this class and singleton parents."""
        if not cls.initialized():
            return
        for subclass in cls._walk_mro():
            if isinstance(subclass._instance, cls):
                # only clear instances that are instances
                # of the calling class
                subclass._instance = None  # type:ignore[unreachable]

    @classmethod
    def instance(cls: type[CT], *args: t.Any, **kwargs: t.Any) -> CT:
        """Returns a global instance of this class.

        This method create a new instance if none have previously been created
        and returns a previously created instance is one already exists.

        The arguments and keyword arguments passed to this method are passed
        on to the :meth:`__init__` method of the class upon instantiation.

        Examples
        --------
        Create a singleton class using instance, and retrieve it::

            >>> from traitlets.config.configurable import SingletonConfigurable
            >>> class Foo(SingletonConfigurable): pass
            >>> foo = Foo.instance()
            >>> foo == Foo.instance()
            True

        Create a subclass that is retrieved using the base class instance::

            >>> class Bar(SingletonConfigurable): pass
            >>> class Bam(Bar): pass
            >>> bam = Bam.instance()
            >>> bam == Bar.instance()
            True
        """
        # Create and save the instance
        if cls._instance is None:
            inst = cls(*args, **kwargs)
            # Now make sure that the instance will also be returned by
            # parent classes' _instance attribute.
            for subclass in cls._walk_mro():
                subclass._instance = inst

        if isinstance(cls._instance, cls):
            return cls._instance
        else:
            raise MultipleInstanceError(
                f"An incompatible sibling of '{cls.__name__}' is already instantiated"
                f" as singleton: {type(cls._instance).__name__}"
            )

    @classmethod
    def initialized(cls) -> bool:
        """Has an instance been created?"""
        return hasattr(cls, "_instance") and cls._instance is not None
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