OwlCyberSecurity - MANAGER

Edit File: arguments.py

# Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html
# For details: https://github.com/PyCQA/astroid/blob/main/LICENSE
# Copyright (c) https://github.com/PyCQA/astroid/blob/main/CONTRIBUTORS.txt

from __future__ import annotations

from astroid import nodes
from astroid.bases import Instance
from astroid.context import CallContext, InferenceContext
from astroid.exceptions import InferenceError, NoDefault
from astroid.util import Uninferable, UninferableBase

class CallSite:
    """Class for understanding arguments passed into a call site.

It needs a call context, which contains the arguments and the
    keyword arguments that were passed into a given call site.
    In order to infer what an argument represents, call :meth:`infer_argument`
    with the corresponding function node and the argument name.

:param callcontext:
        An instance of :class:`astroid.context.CallContext`, that holds
        the arguments for the call site.
    :param argument_context_map:
        Additional contexts per node, passed in from :attr:`astroid.context.Context.extra_context`
    :param context:
        An instance of :class:`astroid.context.Context`.
    """

def __init__(
        self,
        callcontext: CallContext,
        argument_context_map=None,
        context: InferenceContext | None = None,
    ):
        if argument_context_map is None:
            argument_context_map = {}
        self.argument_context_map = argument_context_map
        args = callcontext.args
        keywords = callcontext.keywords
        self.duplicated_keywords: set[str] = set()
        self._unpacked_args = self._unpack_args(args, context=context)
        self._unpacked_kwargs = self._unpack_keywords(keywords, context=context)

self.positional_arguments = [
            arg for arg in self._unpacked_args if not isinstance(arg, UninferableBase)
        ]
        self.keyword_arguments = {
            key: value
            for key, value in self._unpacked_kwargs.items()
            if not isinstance(value, UninferableBase)
        }

@classmethod
    def from_call(cls, call_node, context: InferenceContext | None = None):
        """Get a CallSite object from the given Call node.

context will be used to force a single inference path.
        """

# Determine the callcontext from the given `context` object if any.
        context = context or InferenceContext()
        callcontext = CallContext(call_node.args, call_node.keywords)
        return cls(callcontext, context=context)

def has_invalid_arguments(self):
        """Check if in the current CallSite were passed *invalid* arguments.

This can mean multiple things. For instance, if an unpacking
        of an invalid object was passed, then this method will return True.
        Other cases can be when the arguments can't be inferred by astroid,
        for example, by passing objects which aren't known statically.
        """
        return len(self.positional_arguments) != len(self._unpacked_args)

def has_invalid_keywords(self) -> bool:
        """Check if in the current CallSite were passed *invalid* keyword arguments.

For instance, unpacking a dictionary with integer keys is invalid
        (**{1:2}), because the keys must be strings, which will make this
        method to return True. Other cases where this might return True if
        objects which can't be inferred were passed.
        """
        return len(self.keyword_arguments) != len(self._unpacked_kwargs)

def _unpack_keywords(self, keywords, context: InferenceContext | None = None):
        values = {}
        context = context or InferenceContext()
        context.extra_context = self.argument_context_map
        for name, value in keywords:
            if name is None:
                # Then it's an unpacking operation (**)
                try:
                    inferred = next(value.infer(context=context))
                except InferenceError:
                    values[name] = Uninferable
                    continue
                except StopIteration:
                    continue

if not isinstance(inferred, nodes.Dict):
                    # Not something we can work with.
                    values[name] = Uninferable
                    continue

for dict_key, dict_value in inferred.items:
                    try:
                        dict_key = next(dict_key.infer(context=context))
                    except InferenceError:
                        values[name] = Uninferable
                        continue
                    except StopIteration:
                        continue
                    if not isinstance(dict_key, nodes.Const):
                        values[name] = Uninferable
                        continue
                    if not isinstance(dict_key.value, str):
                        values[name] = Uninferable
                        continue
                    if dict_key.value in values:
                        # The name is already in the dictionary
                        values[dict_key.value] = Uninferable
                        self.duplicated_keywords.add(dict_key.value)
                        continue
                    values[dict_key.value] = dict_value
            else:
                values[name] = value
        return values

def _unpack_args(self, args, context: InferenceContext | None = None):
        values = []
        context = context or InferenceContext()
        context.extra_context = self.argument_context_map
        for arg in args:
            if isinstance(arg, nodes.Starred):
                try:
                    inferred = next(arg.value.infer(context=context))
                except InferenceError:
                    values.append(Uninferable)
                    continue
                except StopIteration:
                    continue

if isinstance(inferred, UninferableBase):
                    values.append(Uninferable)
                    continue
                if not hasattr(inferred, "elts"):
                    values.append(Uninferable)
                    continue
                values.extend(inferred.elts)
            else:
                values.append(arg)
        return values

def infer_argument(self, funcnode, name, context):  # noqa: C901
        """Infer a function argument value according to the call context.

Arguments:
            funcnode: The function being called.
            name: The name of the argument whose value is being inferred.
            context: Inference context object
        """
        if name in self.duplicated_keywords:
            raise InferenceError(
                "The arguments passed to {func!r} have duplicate keywords.",
                call_site=self,
                func=funcnode,
                arg=name,
                context=context,
            )

# Look into the keywords first, maybe it's already there.
        try:
            return self.keyword_arguments[name].infer(context)
        except KeyError:
            pass

# Too many arguments given and no variable arguments.
        if len(self.positional_arguments) > len(funcnode.args.args):
            if not funcnode.args.vararg and not funcnode.args.posonlyargs:
                raise InferenceError(
                    "Too many positional arguments "
                    "passed to {func!r} that does "
                    "not have *args.",
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )

positional = self.positional_arguments[: len(funcnode.args.args)]
        vararg = self.positional_arguments[len(funcnode.args.args) :]
        argindex = funcnode.args.find_argname(name)[0]
        kwonlyargs = {arg.name for arg in funcnode.args.kwonlyargs}
        kwargs = {
            key: value
            for key, value in self.keyword_arguments.items()
            if key not in kwonlyargs
        }
        # If there are too few positionals compared to
        # what the function expects to receive, check to see
        # if the missing positional arguments were passed
        # as keyword arguments and if so, place them into the
        # positional args list.
        if len(positional) < len(funcnode.args.args):
            for func_arg in funcnode.args.args:
                if func_arg.name in kwargs:
                    arg = kwargs.pop(func_arg.name)
                    positional.append(arg)

if argindex is not None:
            boundnode = getattr(context, "boundnode", None)
            # 2. first argument of instance/class method
            if argindex == 0 and funcnode.type in {"method", "classmethod"}:
                # context.boundnode is None when an instance method is called with
                # the class, e.g. MyClass.method(obj, ...). In this case, self
                # is the first argument.
                if boundnode is None and funcnode.type == "method" and positional:
                    return positional[0].infer(context=context)
                if boundnode is None:
                    # XXX can do better ?
                    boundnode = funcnode.parent.frame(future=True)

if isinstance(boundnode, nodes.ClassDef):
                    # Verify that we're accessing a method
                    # of the metaclass through a class, as in
                    # `cls.metaclass_method`. In this case, the
                    # first argument is always the class.
                    method_scope = funcnode.parent.scope()
                    if method_scope is boundnode.metaclass():
                        return iter((boundnode,))

if funcnode.type == "method":
                    if not isinstance(boundnode, Instance):
                        boundnode = boundnode.instantiate_class()
                    return iter((boundnode,))
                if funcnode.type == "classmethod":
                    return iter((boundnode,))
            # if we have a method, extract one position
            # from the index, so we'll take in account
            # the extra parameter represented by `self` or `cls`
            if funcnode.type in {"method", "classmethod"} and boundnode:
                argindex -= 1
            # 2. search arg index
            try:
                return self.positional_arguments[argindex].infer(context)
            except IndexError:
                pass

if funcnode.args.kwarg == name:
            # It wants all the keywords that were passed into
            # the call site.
            if self.has_invalid_keywords():
                raise InferenceError(
                    "Inference failed to find values for all keyword arguments "
                    "to {func!r}: {unpacked_kwargs!r} doesn't correspond to "
                    "{keyword_arguments!r}.",
                    keyword_arguments=self.keyword_arguments,
                    unpacked_kwargs=self._unpacked_kwargs,
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )
            kwarg = nodes.Dict(
                lineno=funcnode.args.lineno,
                col_offset=funcnode.args.col_offset,
                parent=funcnode.args,
            )
            kwarg.postinit(
                [(nodes.const_factory(key), value) for key, value in kwargs.items()]
            )
            return iter((kwarg,))
        if funcnode.args.vararg == name:
            # It wants all the args that were passed into
            # the call site.
            if self.has_invalid_arguments():
                raise InferenceError(
                    "Inference failed to find values for all positional "
                    "arguments to {func!r}: {unpacked_args!r} doesn't "
                    "correspond to {positional_arguments!r}.",
                    positional_arguments=self.positional_arguments,
                    unpacked_args=self._unpacked_args,
                    call_site=self,
                    func=funcnode,
                    arg=name,
                    context=context,
                )
            args = nodes.Tuple(
                lineno=funcnode.args.lineno,
                col_offset=funcnode.args.col_offset,
                parent=funcnode.args,
            )
            args.postinit(vararg)
            return iter((args,))

# Check if it's a default parameter.
        try:
            return funcnode.args.default_value(name).infer(context)
        except NoDefault:
            pass
        raise InferenceError(
            "No value found for argument {arg} to {func!r}",
            call_site=self,
            func=funcnode,
            arg=name,
            context=context,
        )