def create_name(self, tree_name):
definition = tree_name.get_definition()
if definition and definition.type == 'param' and definition.name == tree_name:
funcdef = search_ancestor(definition, 'funcdef', 'lambdef')
func = self.create_value(funcdef)
return AnonymousParamName(func, tree_name)
else:
context = self.create_context(tree_name)
return TreeNameDefinition(context, tree_name)
def _convert_names(self, names):
for name in names:
param = search_ancestor(name, 'param')
# Here we don't need to check if the param is a default/annotation,
# because those are not definitions and never make it to this
# point.
if param:
yield self._convert_param(param, name)
else:
yield TreeNameDefinition(self.parent_context, name)
def _get_global_filters_for_name(context, name_or_none, position):
# For functions and classes the defaults don't belong to the
# function and get inferred in the value before the function. So
# make sure to exclude the function/class name.
if name_or_none is not None:
ancestor = search_ancestor(name_or_none, 'funcdef', 'classdef',
'lambdef')
lambdef = None
if ancestor == 'lambdef':
# For lambdas it's even more complicated since parts will
# be inferred later.
lambdef = ancestor
ancestor = search_ancestor(name_or_none, 'funcdef', 'classdef')
if ancestor is not None:
colon = ancestor.children[-2]
if position is not None and position < colon.start_pos:
if lambdef is None or position < lambdef.children[-2].start_pos:
position = ancestor.start_pos
return get_global_filters(context, position, name_or_none)
def get_qualified_names(self, include_module_names=False):
import_node = search_ancestor(self.tree_name, 'import_name',
'import_from')
# For import nodes we cannot just have names, because it's very unclear
# how they would look like. For now we just ignore them in most cases.
# In case of level == 1, it works always, because it's like a submodule
# lookup.
if import_node is not None and not (
import_node.level == 1
and self.get_root_context().get_value().is_package()):
# TODO improve the situation for when level is present.
if include_module_names and not import_node.level:
return tuple(
n.value
for n in import_node.get_path_for_name(self.tree_name))
else:
return None
return super(AbstractTreeName,
self).get_qualified_names(include_module_names)
def _prepare_infer_import(module_context, tree_name):
import_node = search_ancestor(tree_name, 'import_name', 'import_from')
import_path = import_node.get_path_for_name(tree_name)
from_import_name = None
try:
from_names = import_node.get_from_names()
except AttributeError:
# Is an import_name
pass
else:
if len(from_names) + 1 == len(import_path):
# We have to fetch the from_names part first and then check
# if from_names exists in the modules.
from_import_name = import_path[-1]
import_path = from_names
importer = Importer(module_context.inference_state, tuple(import_path),
module_context, import_node.level)
return from_import_name, tuple(
import_path), import_node.level, importer.follow()
def check_flow_information(value, flow, search_name, pos):
""" Try to find out the type of a variable just with the information that
is given by the flows: e.g. It is also responsible for assert checks.::
if isinstance(k, str):
k. # <- completion here
ensures that `k` is a string.
"""
if not settings.dynamic_flow_information:
return None
result = None
if is_scope(flow):
# Check for asserts.
module_node = flow.get_root_node()
try:
names = module_node.get_used_names()[search_name.value]
except KeyError:
return None
names = reversed([
n for n in names
if flow.start_pos <= n.start_pos < (pos or flow.end_pos)
])
for name in names:
ass = search_ancestor(name, 'assert_stmt')
if ass is not None:
result = _check_isinstance_type(value, ass.assertion,
search_name)
if result is not None:
return result
if flow.type in ('if_stmt', 'while_stmt'):
potential_ifs = [c for c in flow.children[1::4] if c != ':']
for if_test in reversed(potential_ifs):
if search_name.start_pos > if_test.end_pos:
return _check_isinstance_type(value, if_test, search_name)
return result
def get_parent_function(self):
"""
Returns the function/lambda of a parameter.
"""
return search_ancestor(self, 'funcdef', 'lambdef')
def _get_param_node(self):
return search_ancestor(self.tree_name, 'param')
def is_import(self):
imp = search_ancestor(self.tree_name, 'import_from', 'import_name')
return imp is not None
def goto(self):
context = self.parent_context
name = self.tree_name
definition = name.get_definition(import_name_always=True)
if definition is not None:
type_ = definition.type
if type_ == 'expr_stmt':
# Only take the parent, because if it's more complicated than just
# a name it's something you can "goto" again.
is_simple_name = name.parent.type not in ('power', 'trailer')
if is_simple_name:
return [self]
elif type_ in ('import_from', 'import_name'):
from medi.inference.imports import goto_import
module_names = goto_import(context, name)
return module_names
else:
return [self]
else:
from medi.inference.imports import follow_error_node_imports_if_possible
values = follow_error_node_imports_if_possible(context, name)
if values is not None:
return [value.name for value in values]
par = name.parent
node_type = par.type
if node_type == 'argument' and par.children[1] == '=' and par.children[
0] == name:
# Named param goto.
trailer = par.parent
if trailer.type == 'arglist':
trailer = trailer.parent
if trailer.type != 'classdef':
if trailer.type == 'decorator':
value_set = context.infer_node(trailer.children[1])
else:
i = trailer.parent.children.index(trailer)
to_infer = trailer.parent.children[:i]
if to_infer[0] == 'await':
to_infer.pop(0)
value_set = context.infer_node(to_infer[0])
from medi.inference.syntax_tree import infer_trailer
for trailer in to_infer[1:]:
value_set = infer_trailer(context, value_set, trailer)
param_names = []
for value in value_set:
for signature in value.get_signatures():
for param_name in signature.get_param_names():
if param_name.string_name == name.value:
param_names.append(param_name)
return param_names
elif node_type == 'dotted_name': # Is a decorator.
index = par.children.index(name)
if index > 0:
new_dotted = deep_ast_copy(par)
new_dotted.children[index - 1:] = []
values = context.infer_node(new_dotted)
return unite(
value.goto(name, name_context=context) for value in values)
if node_type == 'trailer' and par.children[0] == '.':
values = infer_call_of_leaf(context, name, cut_own_trailer=True)
return values.goto(name, name_context=context)
else:
stmt = search_ancestor(name, 'expr_stmt', 'lambdef') or name
if stmt.type == 'lambdef':
stmt = name
return context.goto(name, position=stmt.start_pos)