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280 lines
9.4 KiB
280 lines
9.4 KiB
"""
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Contexts are the "values" that Python would return. However Contexts are at the
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same time also the "contexts" that a user is currently sitting in.
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A ContextSet is typically used to specify the return of a function or any other
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static analysis operation. In jedi there are always multiple returns and not
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just one.
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"""
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from parso.python.tree import ExprStmt, CompFor
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from jedi import debug
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from jedi._compatibility import Python3Method, zip_longest, unicode
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from jedi.parser_utils import clean_scope_docstring, get_doc_with_call_signature
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from jedi.common import BaseContextSet, BaseContext
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from jedi.evaluate.helpers import EvaluatorIndexError, EvaluatorTypeError, \
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EvaluatorKeyError
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class Context(BaseContext):
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"""
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Should be defined, otherwise the API returns empty types.
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"""
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predefined_names = {}
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tree_node = None
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"""
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To be defined by subclasses.
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"""
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@property
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def api_type(self):
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# By default just lower name of the class. Can and should be
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# overwritten.
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return self.__class__.__name__.lower()
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@debug.increase_indent
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def execute(self, arguments):
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"""
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In contrast to py__call__ this function is always available.
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`hasattr(x, py__call__)` can also be checked to see if a context is
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executable.
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"""
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if self.evaluator.is_analysis:
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arguments.eval_all()
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debug.dbg('execute: %s %s', self, arguments)
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from jedi.evaluate import stdlib
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try:
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# Some stdlib functions like super(), namedtuple(), etc. have been
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# hard-coded in Jedi to support them.
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return stdlib.execute(self.evaluator, self, arguments)
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except stdlib.NotInStdLib:
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pass
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try:
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func = self.py__call__
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except AttributeError:
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debug.warning("no execution possible %s", self)
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return NO_CONTEXTS
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else:
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context_set = func(arguments)
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debug.dbg('execute result: %s in %s', context_set, self)
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return context_set
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return self.evaluator.execute(self, arguments)
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def execute_evaluated(self, *value_list):
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"""
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Execute a function with already executed arguments.
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"""
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from jedi.evaluate.arguments import ValuesArguments
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arguments = ValuesArguments([ContextSet(value) for value in value_list])
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return self.execute(arguments)
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def iterate(self, contextualized_node=None, is_async=False):
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debug.dbg('iterate %s', self)
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try:
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if is_async:
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iter_method = self.py__aiter__
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else:
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iter_method = self.py__iter__
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except AttributeError:
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if contextualized_node is not None:
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from jedi.evaluate import analysis
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analysis.add(
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contextualized_node.context,
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'type-error-not-iterable',
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contextualized_node.node,
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message="TypeError: '%s' object is not iterable" % self)
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return iter([])
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else:
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return iter_method()
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def get_item(self, index_contexts, contextualized_node):
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from jedi.evaluate.compiled import CompiledObject
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from jedi.evaluate.context.iterable import Slice, Sequence
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result = ContextSet()
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for index in index_contexts:
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if isinstance(index, Slice):
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index = index.obj
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if isinstance(index, CompiledObject):
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try:
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index = index.get_safe_value()
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except ValueError:
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pass
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if type(index) not in (float, int, str, unicode, slice, bytes):
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# If the index is not clearly defined, we have to get all the
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# possiblities.
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if isinstance(self, Sequence) and self.array_type == 'dict':
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result |= self.dict_values()
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else:
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result |= iterate_contexts(ContextSet(self))
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continue
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# The actual getitem call.
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try:
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getitem = self.py__getitem__
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except AttributeError:
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from jedi.evaluate import analysis
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# TODO this context is probably not right.
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analysis.add(
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contextualized_node.context,
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'type-error-not-subscriptable',
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contextualized_node.node,
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message="TypeError: '%s' object is not subscriptable" % self
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)
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else:
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try:
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result |= getitem(index)
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except EvaluatorIndexError:
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result |= iterate_contexts(ContextSet(self))
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except EvaluatorKeyError:
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# Must be a dict. Lists don't raise KeyErrors.
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result |= self.dict_values()
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except EvaluatorTypeError:
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# The type is wrong and therefore it makes no sense to do
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# anything anymore.
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result = NO_CONTEXTS
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return result
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def eval_node(self, node):
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return self.evaluator.eval_element(self, node)
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@Python3Method
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def py__getattribute__(self, name_or_str, name_context=None, position=None,
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search_global=False, is_goto=False,
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analysis_errors=True):
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"""
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:param position: Position of the last statement -> tuple of line, column
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"""
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if name_context is None:
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name_context = self
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from jedi.evaluate import finder
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f = finder.NameFinder(self.evaluator, self, name_context, name_or_str,
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position, analysis_errors=analysis_errors)
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filters = f.get_filters(search_global)
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if is_goto:
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return f.filter_name(filters)
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return f.find(filters, attribute_lookup=not search_global)
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def create_context(self, node, node_is_context=False, node_is_object=False):
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return self.evaluator.create_context(self, node, node_is_context, node_is_object)
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def is_class(self):
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return False
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def py__bool__(self):
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"""
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Since Wrapper is a super class for classes, functions and modules,
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the return value will always be true.
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"""
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return True
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def py__doc__(self, include_call_signature=False):
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try:
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self.tree_node.get_doc_node
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except AttributeError:
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return ''
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else:
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if include_call_signature:
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return get_doc_with_call_signature(self.tree_node)
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else:
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return clean_scope_docstring(self.tree_node)
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return None
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def iterate_contexts(contexts, contextualized_node=None, is_async=False):
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"""
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Calls `iterate`, on all contexts but ignores the ordering and just returns
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all contexts that the iterate functions yield.
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"""
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return ContextSet.from_sets(
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lazy_context.infer()
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for lazy_context in contexts.iterate(contextualized_node, is_async=is_async)
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)
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class TreeContext(Context):
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def __init__(self, evaluator, parent_context, tree_node):
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super(TreeContext, self).__init__(evaluator, parent_context)
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self.predefined_names = {}
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self.tree_node = tree_node
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def __repr__(self):
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return '<%s: %s>' % (self.__class__.__name__, self.tree_node)
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class ContextualizedNode(object):
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def __init__(self, context, node):
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self.context = context
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self.node = node
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def get_root_context(self):
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return self.context.get_root_context()
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def infer(self):
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return self.context.eval_node(self.node)
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class ContextualizedName(ContextualizedNode):
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# TODO merge with TreeNameDefinition?!
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@property
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def name(self):
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return self.node
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def assignment_indexes(self):
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"""
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Returns an array of tuple(int, node) of the indexes that are used in
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tuple assignments.
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For example if the name is ``y`` in the following code::
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x, (y, z) = 2, ''
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would result in ``[(1, xyz_node), (0, yz_node)]``.
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"""
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indexes = []
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node = self.node.parent
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compare = self.node
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while node is not None:
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if node.type in ('testlist', 'testlist_comp', 'testlist_star_expr', 'exprlist'):
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for i, child in enumerate(node.children):
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if child == compare:
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indexes.insert(0, (int(i / 2), node))
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break
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else:
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raise LookupError("Couldn't find the assignment.")
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elif isinstance(node, (ExprStmt, CompFor)):
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break
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compare = node
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node = node.parent
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return indexes
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class ContextSet(BaseContextSet):
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def py__class__(self):
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return ContextSet.from_iterable(c.py__class__() for c in self._set)
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def iterate(self, contextualized_node=None, is_async=False):
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from jedi.evaluate.lazy_context import get_merged_lazy_context
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type_iters = [c.iterate(contextualized_node, is_async=is_async) for c in self._set]
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for lazy_contexts in zip_longest(*type_iters):
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yield get_merged_lazy_context(
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[l for l in lazy_contexts if l is not None]
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)
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NO_CONTEXTS = ContextSet()
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def iterator_to_context_set(func):
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def wrapper(*args, **kwargs):
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return ContextSet.from_iterable(func(*args, **kwargs))
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return wrapper
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