from itertools import chain import re 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.api import inference from jedi.evaluate import imports from jedi.api import keywords from jedi.evaluate import compiled from jedi.evaluate.finder import global_names_dict_generator, filter_definition_names class Completion: def __init__(self, evaluator, parser, user_context, position, call_signatures_method): self._evaluator = evaluator self._parser = parser self._user_context = user_context self._pos = position self._call_signatures_method = call_signatures_method def get_completions(self, user_stmt, path, dot, like): # TODO this closure is ugly. it also doesn't work with # simple_complete (used for Interpreter), somehow redo. module = self._evaluator.wrap(self._parser.module()) names, level, only_modules, unfinished_dotted = \ helpers.check_error_statements(module, self._pos) completion_names = [] if names is not None: imp_names = tuple(str(n) for n in names if n.end_pos < self._pos) i = imports.Importer(self._evaluator, imp_names, module, level) completion_names = i.completion_names(self._evaluator, only_modules) # TODO this paragraph is necessary, but not sure it works. context = self._user_context.get_context() if not next(context).startswith('.'): # skip the path if next(context) == 'from': # completion is just "import" if before stands from .. if unfinished_dotted: return completion_names else: return set([keywords.keyword(self._evaluator, 'import').name]) if isinstance(user_stmt, tree.Import): module = self._parser.module() completion_names += imports.completion_names(self._evaluator, user_stmt, self._pos) return completion_names if names is None and not isinstance(user_stmt, tree.Import): if not path and not dot: # add keywords completion_names += keywords.completion_names( self._evaluator, user_stmt, self._pos, module) # TODO delete? We should search for valid parser # transformations. completion_names += self._simple_complete(path, dot, like) return completion_names def completions(self): debug.speed('completions start') path = self._user_context.get_path_until_cursor() # Dots following an int are not the start of a completion but a float # literal. if re.search(r'^\d\.$', path): return [] path, dot, like = helpers.completion_parts(path) user_stmt = self._parser.user_stmt_with_whitespace() completion_names = self.get_completions(user_stmt, path, dot, like) if not dot: # add named params for call_sig in self._call_signatures_method(): # 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 completion_names.append(p._name) needs_dot = not dot and path comps = [] comp_dct = {} for c in set(completion_names): n = str(c) if settings.case_insensitive_completion \ and n.lower().startswith(like.lower()) \ or n.startswith(like): if isinstance(c.parent, (tree.Function, tree.Class)): # TODO I think this is a hack. It should be an # er.Function/er.Class before that. c = self._evaluator.wrap(c.parent).name new = classes.Completion(self._evaluator, c, needs_dot, len(like)) 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 comps.append(new) debug.speed('completions end') return sorted(comps, key=lambda x: (x.name.startswith('__'), x.name.startswith('_'), x.name.lower())) def _simple_complete(self, path, dot, like): if not path and not dot: scope = self._parser.user_scope() if not scope.is_scope(): # Might be a flow (if/while/etc). scope = scope.get_parent_scope() names_dicts = global_names_dict_generator( self._evaluator, self._evaluator.wrap(scope), self._pos ) 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._parser.user_stmt(), pos ) elif inference.get_under_cursor_stmt(self._evaluator, self._parser, path, self._pos) is None: return [] else: scopes = list(inference.type_inference( self._evaluator, self._parser, self._user_context, self._pos, path, is_completion=True )) completion_names = [] debug.dbg('possible 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._parser.user_stmt() ) return completion_names