Files
jedi/jedi/api/completion.py
2016-07-25 00:15:58 +02:00

232 lines
8.8 KiB
Python

from itertools import chain
from jedi.parser import token
from jedi.parser import tree
from jedi import debug
from jedi import settings
from jedi.api import classes
from jedi.api import helpers
from jedi.evaluate import imports
from jedi.api import keywords
from jedi.evaluate import compiled
from jedi.evaluate.helpers import call_of_leaf
from jedi.evaluate.finder import global_names_dict_generator, filter_definition_names
def get_call_signature_param_names(call_signatures):
# add named params
for call_sig in call_signatures:
# Allow protected access, because it's a public API.
module = call_sig._name.get_parent_until()
# Compiled modules typically don't allow keyword arguments.
if not isinstance(module, compiled.CompiledObject):
for p in call_sig.params:
# Allow access on _definition here, because it's a
# public API and we don't want to make the internal
# Name object public.
if p._definition.stars == 0: # no *args/**kwargs
yield p._name
def filter_names(evaluator, completion_names, stack, like_name):
comp_dct = {}
for name in set(completion_names):
if settings.case_insensitive_completion \
and str(name).lower().startswith(like_name.lower()) \
or str(name).startswith(like_name):
if isinstance(name.parent, (tree.Function, tree.Class)):
# TODO I think this is a hack. It should be an
# er.Function/er.Class before that.
name = evaluator.wrap(name.parent).name
new = classes.Completion(
evaluator,
name,
stack,
len(like_name)
)
k = (new.name, new.complete) # key
if k in comp_dct and settings.no_completion_duplicates:
comp_dct[k]._same_name_completions.append(new)
else:
comp_dct[k] = new
yield new
def get_user_scope(module, position):
"""
Returns the scope in which the user resides. This includes flows.
"""
user_stmt = module.get_statement_for_position(position)
if user_stmt is None:
def scan(scope):
for s in scope.children:
if s.start_pos <= position <= s.end_pos:
if isinstance(s, (tree.Scope, tree.Flow)):
return scan(s) or s
elif s.type in ('suite', 'decorated'):
return scan(s)
return None
return scan(module) or module
else:
return user_stmt.get_parent_scope(include_flows=True)
class Completion:
def __init__(self, evaluator, module, code_lines, position, call_signatures_method):
self._evaluator = evaluator
self._module = evaluator.wrap(module)
self._code_lines = code_lines
# The first step of completions is to get the name
self._like_name = helpers.get_on_completion_name(module, code_lines, position)
# The actual cursor position is not what we need to calculate
# everything. We want the start of the name we're on.
self._position = position[0], position[1] - len(self._like_name)
self._call_signatures_method = call_signatures_method
def completions(self):
completion_names = self._get_context_completions()
completions = filter_names(self._evaluator, completion_names,
self.stack, self._like_name)
return sorted(completions, key=lambda x: (x.name.startswith('__'),
x.name.startswith('_'),
x.name.lower()))
def _get_context_completions(self):
"""
Analyzes the context that a completion is made in and decides what to
return.
Technically this works by generating a parser stack and analysing the
current stack for possible grammar nodes.
Possible enhancements:
- global/nonlocal search global
- yield from / raise from <- could be only exceptions/generators
- In args: */**: no completion
- In params (also lambda): no completion before =
"""
grammar = self._evaluator.grammar
try:
self.stack = helpers.get_stack_at_position(
grammar, self._code_lines, self._module, self._position
)
except helpers.OnErrorLeaf as e:
self.stack = None
if e.error_leaf.value == '.':
# After ErrorLeaf's that are dots, we will not do any
# completions since this probably just confuses the user.
return []
# If we don't have a context, just use global completion.
return self._global_completions()
allowed_keywords, allowed_tokens = \
helpers.get_possible_completion_types(grammar, self.stack)
completion_names = list(self._get_keyword_completion_names(allowed_keywords))
if token.NAME in allowed_tokens:
# This means that we actually have to do type inference.
symbol_names = list(self.stack.get_node_names(grammar))
nodes = list(self.stack.get_nodes())
if "import_stmt" in symbol_names:
level = 0
only_modules = True
level, names = self._parse_dotted_names(nodes)
if "import_from" in symbol_names:
if 'import' in nodes:
only_modules = False
else:
assert "import_name" in symbol_names
completion_names += self._get_importer_names(
names,
level,
only_modules
)
elif nodes and nodes[-1] in ('as', 'def', 'class'):
# No completions for ``with x as foo`` and ``import x as foo``.
# Also true for defining names as a class or function.
return []
elif symbol_names[-1] == 'trailer' and nodes[-1] == '.':
dot = self._module.get_leaf_for_position(self._position)
atom_expr = call_of_leaf(dot.get_previous_leaf())
completion_names += self._trailer_completions(atom_expr)
else:
completion_names += self._global_completions()
if 'trailer' in symbol_names:
call_signatures = self._call_signatures_method()
completion_names += get_call_signature_param_names(call_signatures)
return completion_names
def _get_keyword_completion_names(self, keywords_):
for k in keywords_:
yield keywords.keyword(self._evaluator, k).name
def _global_completions(self):
scope = get_user_scope(self._module, self._position)
if not scope.is_scope(): # Might be a flow (if/while/etc).
scope = scope.get_parent_scope()
scope = self._evaluator.wrap(scope)
debug.dbg('global completion scope: %s', scope)
names_dicts = global_names_dict_generator(
self._evaluator,
scope,
self._position
)
completion_names = []
for names_dict, pos in names_dicts:
names = list(chain.from_iterable(names_dict.values()))
if not names:
continue
completion_names += filter_definition_names(
names, self._module.get_statement_for_position(self._position), pos
)
return completion_names
def _trailer_completions(self, atom_expr):
scopes = self._evaluator.eval_element(atom_expr)
completion_names = []
debug.dbg('trailer completion scopes: %s', scopes)
for s in scopes:
names = []
for names_dict in s.names_dicts(search_global=False):
names += chain.from_iterable(names_dict.values())
completion_names += filter_definition_names(
names, self._module.get_statement_for_position(self._position)
)
return completion_names
def _parse_dotted_names(self, nodes):
level = 0
names = []
for node in nodes[1:]:
if node in ('.', '...'):
if not names:
level += len(node.value)
elif node.type == 'dotted_name':
names += node.children[::2]
elif node.type == 'name':
names.append(node)
else:
break
return level, names
def _get_importer_names(self, names, level=0, only_modules=True):
names = [str(n) for n in names]
i = imports.Importer(self._evaluator, names, self._module, level)
return i.completion_names(self._evaluator, only_modules=only_modules)