Implement configuration options runtime-evaluated-decorators and runtime-evaluated-baseclasses for flake8-type-checking (#3292)

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Sasan Jacob Rasti 2023-03-07 05:34:19 +01:00 committed by GitHub
parent fea1af5a63
commit 4dead7541f
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17 changed files with 507 additions and 6 deletions

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@ -0,0 +1,38 @@
from __future__ import annotations
import pathlib
from typing import TYPE_CHECKING
import pydantic
from pydantic import BaseModel
if TYPE_CHECKING:
import datetime # TCH004
from array import array # TCH004
import pandas # TCH004
import pyproj
class A(pydantic.BaseModel):
x: datetime.datetime
class B(BaseModel):
x: pandas.DataFrame
class C(BaseModel):
x: pathlib.Path
class E:
pass
class F(E):
x: pyproj.Transformer
class G(BaseModel):
x: array

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@ -0,0 +1,28 @@
from __future__ import annotations
import geopandas as gpd # TCH002
import pydantic
import pyproj # TCH002
from pydantic import BaseModel
import numpy
class A(BaseModel):
x: pandas.DataFrame
class B(pydantic.BaseModel):
x: numpy.ndarray
class C:
pass
class D(C):
x: pyproj.Transformer
class E(C):
x: gpd.GeoDataFrame

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@ -0,0 +1,24 @@
from __future__ import annotations
import datetime
import pathlib
from uuid import UUID # TCH003
import pydantic
from pydantic import BaseModel
class A(pydantic.BaseModel):
x: datetime.datetime
class B(BaseModel):
x: pathlib.Path
class C:
pass
class D(C):
x: UUID

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@ -0,0 +1,46 @@
from __future__ import annotations
import pathlib
from typing import TYPE_CHECKING
import attrs
from attrs import frozen
import numpy
if TYPE_CHECKING:
import datetime # TCH004
from array import array # TCH004
import pandas # TCH004
import pyproj
@attrs.define(auto_attribs=True)
class A:
x: datetime.datetime
@attrs.define
class B:
x: pandas.DataFrame
@frozen(auto_attribs=True)
class C:
x: pathlib.Path
@frozen
class D:
x: array
@dataclass
class E:
x: pyproj.Transformer
@attrs.define
class F:
x: numpy.ndarray

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@ -0,0 +1,30 @@
from __future__ import annotations
from dataclasses import dataclass
import attrs
import pandas
import pyproj
from attrs import frozen
import numpy # TCH002
@attrs.define(auto_attribs=True)
class A:
x: pyproj.Transformer
@attrs.define
class B:
x: pandas.DataFrame
@frozen
class C:
x: pandas.DataFrame
@dataclass
class D:
x: numpy.ndarray

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@ -0,0 +1,24 @@
from __future__ import annotations
import datetime
from array import array
from dataclasses import dataclass
from uuid import UUID # TCH003
import attrs
from attrs import frozen
@attrs.define(auto_attribs=True)
class A:
x: datetime.datetime
@frozen
class B:
x: array
@dataclass
class C:
x: UUID

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@ -185,7 +185,6 @@ where
}
}
}
// Pre-visit.
match &stmt.node {
StmtKind::Global { names } => {
@ -2086,11 +2085,30 @@ where
// If we're in a class or module scope, then the annotation needs to be
// available at runtime.
// See: https://docs.python.org/3/reference/simple_stmts.html#annotated-assignment-statements
let runtime_annotation = !self.ctx.annotations_future_enabled
&& matches!(
let runtime_annotation = if self.ctx.annotations_future_enabled {
if matches!(self.ctx.current_scope().kind, ScopeKind::Class(..)) {
let baseclasses = &self
.settings
.flake8_type_checking
.runtime_evaluated_baseclasses;
let decorators = &self
.settings
.flake8_type_checking
.runtime_evaluated_decorators;
flake8_type_checking::helpers::runtime_evaluated(
&self.ctx,
baseclasses,
decorators,
)
} else {
false
}
} else {
matches!(
self.ctx.current_scope().kind,
ScopeKind::Class(..) | ScopeKind::Module
);
)
};
if runtime_annotation {
visit_type_definition!(self, annotation);
@ -5490,7 +5508,6 @@ pub fn check_ast(
} else {
python_ast
};
// Iterate over the AST.
checker.visit_body(python_ast);

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@ -1,7 +1,9 @@
use num_traits::Zero;
use rustpython_parser::ast::{Constant, Expr, ExprKind};
use crate::ast::types::{Binding, BindingKind, ExecutionContext};
use crate::ast::context::Context;
use crate::ast::helpers::{map_callable, to_call_path};
use crate::ast::types::{Binding, BindingKind, ExecutionContext, ScopeKind};
use crate::checkers::ast::Checker;
/// Return `true` if [`Expr`] is a guard for a type-checking block.
@ -54,3 +56,53 @@ pub const fn is_valid_runtime_import(binding: &Binding) -> bool {
false
}
}
pub fn runtime_evaluated(
context: &Context,
base_classes: &[String],
decorators: &[String],
) -> bool {
if !base_classes.is_empty() {
if runtime_evaluated_baseclass(context, base_classes) {
return true;
}
}
if !decorators.is_empty() {
if runtime_evaluated_decorators(context, decorators) {
return true;
}
}
false
}
fn runtime_evaluated_baseclass(context: &Context, base_classes: &[String]) -> bool {
if let ScopeKind::Class(class_def) = &context.current_scope().kind {
for base in class_def.bases.iter() {
if let Some(call_path) = context.resolve_call_path(base) {
if base_classes
.iter()
.any(|base_class| to_call_path(base_class) == call_path)
{
return true;
}
}
}
}
false
}
fn runtime_evaluated_decorators(context: &Context, decorators: &[String]) -> bool {
if let ScopeKind::Class(class_def) = &context.current_scope().kind {
for decorator in class_def.decorator_list.iter() {
if let Some(call_path) = context.resolve_call_path(map_callable(decorator)) {
if decorators
.iter()
.any(|decorator| to_call_path(decorator) == call_path)
{
return true;
}
}
}
}
false
}

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@ -76,4 +76,45 @@ mod tests {
assert_yaml_snapshot!(diagnostics);
Ok(())
}
#[test_case(Rule::RuntimeImportInTypeCheckingBlock, Path::new("runtime_evaluated_baseclasses_1.py"); "runtime_evaluated_baseclasses_1")]
#[test_case(Rule::TypingOnlyThirdPartyImport, Path::new("runtime_evaluated_baseclasses_2.py"); "runtime_evaluated_baseclasses_2")]
#[test_case(Rule::TypingOnlyStandardLibraryImport, Path::new("runtime_evaluated_baseclasses_3.py"); "runtime_evaluated_baseclasses_3")]
fn runtime_evaluated_baseclasses(rule_code: Rule, path: &Path) -> Result<()> {
let snapshot = format!("{}_{}", rule_code.as_ref(), path.to_string_lossy());
let diagnostics = test_path(
Path::new("flake8_type_checking").join(path).as_path(),
&settings::Settings {
flake8_type_checking: super::settings::Settings {
runtime_evaluated_baseclasses: vec!["pydantic.BaseModel".to_string()],
..Default::default()
},
..settings::Settings::for_rule(rule_code)
},
)?;
assert_yaml_snapshot!(snapshot, diagnostics);
Ok(())
}
#[test_case(Rule::RuntimeImportInTypeCheckingBlock, Path::new("runtime_evaluated_decorators_1.py"); "runtime_evaluated_decorators_1")]
#[test_case(Rule::TypingOnlyThirdPartyImport, Path::new("runtime_evaluated_decorators_2.py"); "runtime_evaluated_decorators_2")]
#[test_case(Rule::TypingOnlyStandardLibraryImport, Path::new("runtime_evaluated_decorators_3.py"); "runtime_evaluated_decorators_3")]
fn runtime_evaluated_decorators(rule_code: Rule, path: &Path) -> Result<()> {
let snapshot = format!("{}_{}", rule_code.as_ref(), path.to_string_lossy());
let diagnostics = test_path(
Path::new("flake8_type_checking").join(path).as_path(),
&settings::Settings {
flake8_type_checking: super::settings::Settings {
runtime_evaluated_decorators: vec![
"attrs.define".to_string(),
"attrs.frozen".to_string(),
],
..Default::default()
},
..settings::Settings::for_rule(rule_code)
},
)?;
assert_yaml_snapshot!(snapshot, diagnostics);
Ok(())
}
}

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@ -34,12 +34,34 @@ pub struct Options {
/// Exempt certain modules from needing to be moved into type-checking
/// blocks.
pub exempt_modules: Option<Vec<String>>,
#[option(
default = "[]",
value_type = "list[str]",
example = r#"
runtime-evaluated-baseclasses = ["pydantic.BaseModel"]
"#
)]
/// Exempt classes that list any of the enumerated classes as a base class
/// from needing to be moved into type-checking blocks.
pub runtime_evaluated_baseclasses: Option<Vec<String>>,
#[option(
default = "[]",
value_type = "list[str]",
example = r#"
runtime-evaluated-decorators = ["attrs.define", "attrs.frozen"]
"#
)]
/// Exempt classes decorated with any of the enumerated decorators from
/// needing to be moved into type-checking blocks.
pub runtime_evaluated_decorators: Option<Vec<String>>,
}
#[derive(Debug, CacheKey)]
pub struct Settings {
pub strict: bool,
pub exempt_modules: Vec<String>,
pub runtime_evaluated_baseclasses: Vec<String>,
pub runtime_evaluated_decorators: Vec<String>,
}
impl Default for Settings {
@ -47,6 +69,8 @@ impl Default for Settings {
Self {
strict: false,
exempt_modules: vec!["typing".to_string()],
runtime_evaluated_baseclasses: vec![],
runtime_evaluated_decorators: vec![],
}
}
}
@ -58,6 +82,10 @@ impl From<Options> for Settings {
exempt_modules: options
.exempt_modules
.unwrap_or_else(|| vec!["typing".to_string()]),
runtime_evaluated_baseclasses: options
.runtime_evaluated_baseclasses
.unwrap_or_default(),
runtime_evaluated_decorators: options.runtime_evaluated_decorators.unwrap_or_default(),
}
}
}
@ -67,6 +95,8 @@ impl From<Settings> for Options {
Self {
strict: Some(settings.strict),
exempt_modules: Some(settings.exempt_modules),
runtime_evaluated_baseclasses: Some(settings.runtime_evaluated_baseclasses),
runtime_evaluated_decorators: Some(settings.runtime_evaluated_decorators),
}
}
}

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@ -0,0 +1,38 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: datetime
location:
row: 10
column: 11
end_location:
row: 10
column: 19
fix: ~
parent: ~
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: array.array
location:
row: 11
column: 22
end_location:
row: 11
column: 27
fix: ~
parent: ~
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: pandas
location:
row: 13
column: 11
end_location:
row: 13
column: 17
fix: ~
parent: ~

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@ -0,0 +1,38 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: datetime
location:
row: 12
column: 11
end_location:
row: 12
column: 19
fix: ~
parent: ~
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: array.array
location:
row: 13
column: 22
end_location:
row: 13
column: 27
fix: ~
parent: ~
- kind:
RuntimeImportInTypeCheckingBlock:
full_name: pandas
location:
row: 15
column: 11
end_location:
row: 15
column: 17
fix: ~
parent: ~

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@ -0,0 +1,16 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
TypingOnlyStandardLibraryImport:
full_name: uuid.UUID
location:
row: 5
column: 17
end_location:
row: 5
column: 21
fix: ~
parent: ~

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@ -0,0 +1,16 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
TypingOnlyStandardLibraryImport:
full_name: uuid.UUID
location:
row: 6
column: 17
end_location:
row: 6
column: 21
fix: ~
parent: ~

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@ -0,0 +1,27 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
TypingOnlyThirdPartyImport:
full_name: geopandas
location:
row: 3
column: 7
end_location:
row: 3
column: 23
fix: ~
parent: ~
- kind:
TypingOnlyThirdPartyImport:
full_name: pyproj
location:
row: 5
column: 7
end_location:
row: 5
column: 13
fix: ~
parent: ~

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@ -0,0 +1,16 @@
---
source: crates/ruff/src/rules/flake8_type_checking/mod.rs
expression: diagnostics
---
- kind:
TypingOnlyThirdPartyImport:
full_name: numpy
location:
row: 10
column: 7
end_location:
row: 10
column: 12
fix: ~
parent: ~

20
ruff.schema.json generated
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@ -908,6 +908,26 @@
"type": "string"
}
},
"runtime-evaluated-baseclasses": {
"description": "Exempt classes that list any of the enumerated classes as a base class from needing to be moved into type-checking blocks.",
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"runtime-evaluated-decorators": {
"description": "Exempt classes decorated with any of the enumerated decorators from needing to be moved into type-checking blocks.",
"type": [
"array",
"null"
],
"items": {
"type": "string"
}
},
"strict": {
"description": "Enforce TC001, TC002, and TC003 rules even when valid runtime imports are present for the same module. See flake8-type-checking's [strict](https://github.com/snok/flake8-type-checking#strict) option.",
"type": [