관리-도구
편집 파일: code_style.py
# Licensed under the GPL: https://www.gnu.org/licenses/old-licenses/gpl-2.0.html # For details: https://github.com/PyCQA/pylint/blob/main/LICENSE # Copyright (c) https://github.com/PyCQA/pylint/blob/main/CONTRIBUTORS.txt from __future__ import annotations import sys from typing import TYPE_CHECKING, Tuple, Type, cast from astroid import nodes from pylint.checkers import BaseChecker, utils from pylint.checkers.utils import only_required_for_messages, safe_infer from pylint.interfaces import INFERENCE if TYPE_CHECKING: from pylint.lint import PyLinter if sys.version_info >= (3, 10): from typing import TypeGuard else: from typing_extensions import TypeGuard class CodeStyleChecker(BaseChecker): """Checkers that can improve code consistency. As such they don't necessarily provide a performance benefit and are often times opinionated. Before adding another checker here, consider this: 1. Does the checker provide a clear benefit, i.e. detect a common issue or improve performance => it should probably be part of the core checker classes 2. Is it something that would improve code consistency, maybe because it's slightly better with regard to performance and therefore preferred => this is the right place 3. Everything else should go into another extension """ name = "code_style" msgs = { "R6101": ( "Consider using namedtuple or dataclass for dictionary values", "consider-using-namedtuple-or-dataclass", "Emitted when dictionary values can be replaced by namedtuples or dataclass instances.", ), "R6102": ( "Consider using an in-place tuple instead of list", "consider-using-tuple", "Only for style consistency! " "Emitted where an in-place defined ``list`` can be replaced by a ``tuple``. " "Due to optimizations by CPython, there is no performance benefit from it.", ), "R6103": ( "Use '%s' instead", "consider-using-assignment-expr", "Emitted when an if assignment is directly followed by an if statement and " "both can be combined by using an assignment expression ``:=``. " "Requires Python 3.8 and ``py-version >= 3.8``.", ), "R6104": ( "Use '%s' to do an augmented assign directly", "consider-using-augmented-assign", "Emitted when an assignment is referring to the object that it is assigning " "to. This can be changed to be an augmented assign.\n" "Disabled by default!", { "default_enabled": False, }, ), } options = ( ( "max-line-length-suggestions", { "type": "int", "default": 0, "metavar": "<int>", "help": ( "Max line length for which to sill emit suggestions. " "Used to prevent optional suggestions which would get split " "by a code formatter (e.g., black). " "Will default to the setting for ``max-line-length``." ), }, ), ) def open(self) -> None: py_version = self.linter.config.py_version self._py38_plus = py_version >= (3, 8) self._max_length: int = ( self.linter.config.max_line_length_suggestions or self.linter.config.max_line_length ) @only_required_for_messages("consider-using-namedtuple-or-dataclass") def visit_dict(self, node: nodes.Dict) -> None: self._check_dict_consider_namedtuple_dataclass(node) @only_required_for_messages("consider-using-tuple") def visit_for(self, node: nodes.For) -> None: if isinstance(node.iter, nodes.List): self.add_message("consider-using-tuple", node=node.iter) @only_required_for_messages("consider-using-tuple") def visit_comprehension(self, node: nodes.Comprehension) -> None: if isinstance(node.iter, nodes.List): self.add_message("consider-using-tuple", node=node.iter) @only_required_for_messages("consider-using-assignment-expr") def visit_if(self, node: nodes.If) -> None: if self._py38_plus: self._check_consider_using_assignment_expr(node) def _check_dict_consider_namedtuple_dataclass(self, node: nodes.Dict) -> None: """Check if dictionary values can be replaced by Namedtuple or Dataclass.""" if not ( isinstance(node.parent, (nodes.Assign, nodes.AnnAssign)) and isinstance(node.parent.parent, nodes.Module) or isinstance(node.parent, nodes.AnnAssign) and isinstance(node.parent.target, nodes.AssignName) and utils.is_assign_name_annotated_with(node.parent.target, "Final") ): # If dict is not part of an 'Assign' or 'AnnAssign' node in # a module context OR 'AnnAssign' with 'Final' annotation, skip check. return # All dict_values are itself dict nodes if len(node.items) > 1 and all( isinstance(dict_value, nodes.Dict) for _, dict_value in node.items ): KeyTupleT = Tuple[Type[nodes.NodeNG], str] # Makes sure all keys are 'Const' string nodes keys_checked: set[KeyTupleT] = set() for _, dict_value in node.items: dict_value = cast(nodes.Dict, dict_value) for key, _ in dict_value.items: key_tuple = (type(key), key.as_string()) if key_tuple in keys_checked: continue inferred = safe_infer(key) if not ( isinstance(inferred, nodes.Const) and inferred.pytype() == "builtins.str" ): return keys_checked.add(key_tuple) # Makes sure all subdicts have at least 1 common key key_tuples: list[tuple[KeyTupleT, ...]] = [] for _, dict_value in node.items: dict_value = cast(nodes.Dict, dict_value) key_tuples.append( tuple((type(key), key.as_string()) for key, _ in dict_value.items) ) keys_intersection: set[KeyTupleT] = set(key_tuples[0]) for sub_key_tuples in key_tuples[1:]: keys_intersection.intersection_update(sub_key_tuples) if not keys_intersection: return self.add_message("consider-using-namedtuple-or-dataclass", node=node) return # All dict_values are itself either list or tuple nodes if len(node.items) > 1 and all( isinstance(dict_value, (nodes.List, nodes.Tuple)) for _, dict_value in node.items ): # Make sure all sublists have the same length > 0 list_length = len(node.items[0][1].elts) if list_length == 0: return for _, dict_value in node.items[1:]: if len(dict_value.elts) != list_length: return # Make sure at least one list entry isn't a dict for _, dict_value in node.items: if all(isinstance(entry, nodes.Dict) for entry in dict_value.elts): return self.add_message("consider-using-namedtuple-or-dataclass", node=node) return def _check_consider_using_assignment_expr(self, node: nodes.If) -> None: """Check if an assignment expression (walrus operator) can be used. For example if an assignment is directly followed by an if statement: >>> x = 2 >>> if x: >>> ... Can be replaced by: >>> if (x := 2): >>> ... Note: Assignment expressions were added in Python 3.8 """ # Check if `node.test` contains a `Name` node node_name: nodes.Name | None = None if isinstance(node.test, nodes.Name): node_name = node.test elif ( isinstance(node.test, nodes.UnaryOp) and node.test.op == "not" and isinstance(node.test.operand, nodes.Name) ): node_name = node.test.operand elif ( isinstance(node.test, nodes.Compare) and isinstance(node.test.left, nodes.Name) and len(node.test.ops) == 1 ): node_name = node.test.left else: return # Make sure the previous node is an assignment to the same name # used in `node.test`. Furthermore, ignore if assignment spans multiple lines. prev_sibling = node.previous_sibling() if CodeStyleChecker._check_prev_sibling_to_if_stmt( prev_sibling, node_name.name ): # Check if match statement would be a better fit. # I.e. multiple ifs that test the same name. if CodeStyleChecker._check_ignore_assignment_expr_suggestion( node, node_name.name ): return # Build suggestion string. Check length of suggestion # does not exceed max-line-length-suggestions test_str = node.test.as_string().replace( node_name.name, f"({node_name.name} := {prev_sibling.value.as_string()})", 1, ) suggestion = f"if {test_str}:" if ( node.col_offset is not None and len(suggestion) + node.col_offset > self._max_length or len(suggestion) > self._max_length ): return self.add_message( "consider-using-assignment-expr", node=node_name, args=(suggestion,), ) @staticmethod def _check_prev_sibling_to_if_stmt( prev_sibling: nodes.NodeNG | None, name: str | None ) -> TypeGuard[nodes.Assign | nodes.AnnAssign]: """Check if previous sibling is an assignment with the same name. Ignore statements which span multiple lines. """ if prev_sibling is None or prev_sibling.tolineno - prev_sibling.fromlineno != 0: return False if ( isinstance(prev_sibling, nodes.Assign) and len(prev_sibling.targets) == 1 and isinstance(prev_sibling.targets[0], nodes.AssignName) and prev_sibling.targets[0].name == name ): return True if ( isinstance(prev_sibling, nodes.AnnAssign) and isinstance(prev_sibling.target, nodes.AssignName) and prev_sibling.target.name == name ): return True return False @staticmethod def _check_ignore_assignment_expr_suggestion( node: nodes.If, name: str | None ) -> bool: """Return True if suggestion for assignment expr should be ignored. E.g., in cases where a match statement would be a better fit (multiple conditions). """ if isinstance(node.test, nodes.Compare): next_if_node: nodes.If | None = None next_sibling = node.next_sibling() if len(node.orelse) == 1 and isinstance(node.orelse[0], nodes.If): # elif block next_if_node = node.orelse[0] elif isinstance(next_sibling, nodes.If): # separate if block next_if_node = next_sibling if ( # pylint: disable=too-many-boolean-expressions next_if_node is not None and ( isinstance(next_if_node.test, nodes.Compare) and isinstance(next_if_node.test.left, nodes.Name) and next_if_node.test.left.name == name or isinstance(next_if_node.test, nodes.Name) and next_if_node.test.name == name ) ): return True return False @only_required_for_messages("consider-using-augmented-assign") def visit_assign(self, node: nodes.Assign) -> None: is_aug, op = utils.is_augmented_assign(node) if is_aug: self.add_message( "consider-using-augmented-assign", args=f"{op}=", node=node, line=node.lineno, col_offset=node.col_offset, confidence=INFERENCE, ) def register(linter: PyLinter) -> None: linter.register_checker(CodeStyleChecker(linter))