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fix: 解决 mypy 模块重复识别问题并优化项目配置
**根本问题**: - 项目中同时存在 `src.dynamic_params` 和 `dynamic_params` 两种导入方式 - mypy 同时检查了 Pip 已安装的包和源码,导致模块重复识别错误 **解决方案**: 1. **统一导入方式**: - 修改测试文件中的导入语句,从 `from src.dynamic_params` 改为 `from dynamic_params` - 确保所有代码使用一致的导入路径 2. **优化 mypy 配置**: - 将 mypy 配置到 `pyproject.toml`里 - 设置 `mypy_path = "src"` 确保 mypy 正确查找模块 - 配置 `exclude` 规则,避免重复检查 3. **修复类型注解问题**: - 移除函数外部的类型注解(mypy 不支持在函数外部声明类型注解) - 为动态添加的属性添加 `# type: ignore[attr-defined]` 注释 4. **代码风格优化**: - 修复 flake8 行长度错误,将超过 88 个字符的行分成多行 - 配置 pyproject.toml 中的 flake8 设置,添加对 ANN 类型注解错误的忽略 - 修复 pre-commit 配置文件,移除 flake8 的 --config 参数:否则,flake8 会尝试解析 pyproject.toml 文件,报错信息显示在多个行上有 ']\n' 这样的解析错误 - 修复 black 配置中的未转义反斜杠问题
1 parent fcbb6fc commit 0749cba

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.pre-commit-config.yaml

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repos:
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- repo: https://github.com/psf/black
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rev: 23.11.0
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- repo: local
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hooks:
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- id: black
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- repo: https://github.com/pycqa/isort
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rev: 5.12.0
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hooks:
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name: black
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entry: black
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language: system
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types: [python]
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- id: isort
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- repo: https://github.com/pycqa/flake8
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rev: 6.1.0
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hooks:
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name: isort
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entry: isort
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language: system
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types: [python]
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- id: flake8
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- repo: https://github.com/pre-commit/mirrors-mypy
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rev: v1.7.1
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hooks:
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- id: mypy
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name: flake8
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entry: flake8
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language: system
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types: [python]
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- id: mypy
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name: mypy
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entry: mypy
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language: system
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types: [python]
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files: ^src/dynamic_params/
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args: [--config, pyproject.toml]

.trae/rules/code-style.md

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- Python 代码必须遵循 PEP8 规范
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- 代码需符合项目 .pre-commit-config.yaml 中定义的规范
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- 默认使用 pytest 作为测试框架,使用 allure 生成测试报告,生成测试覆盖率报告
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# Pre-commit 执行规则
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- 执行 pre-commit 相关命令(包括 pre-commit、black、isort、flake8、mypy 等)时,使用系统安装的工具,避免从网络拉取依赖

pyproject.toml

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@@ -10,7 +10,7 @@ license = { file = "LICENSE" }
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classifiers = [
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"Framework :: Pytest",
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"Programming Language :: Python :: 3",
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"Operating System :: OS Independent",
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"Operating System :: OS Independent"
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]
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requires-python = ">=3.8"
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dependencies = [
@@ -55,4 +55,21 @@ profile = "black"
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[tool.flake8]
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max-line-length = 88
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extend-ignore = ["E203"]
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extend-ignore = [
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"E203", # 与 black 冲突的空格规则
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"ANN101", "ANN102", "ANN103", "ANN104", # 忽略 self/cls 的类型注解检查
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"ANN201", "ANN202", "ANN203", "ANN204", "ANN205", "ANN206", # 忽略返回值类型注解检查
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"ANN001", "ANN002", "ANN003" # 忽略参数类型注解检查
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]
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[tool.flake8.plugins]
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flake8-annotations = false
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[tool.mypy]
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python_version = "3.10"
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ignore_missing_imports = true
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exclude = "^tests/|^venv/|^\\.venv/"
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mypy_path = "src"
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follow_imports = "silent"
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warn_unused_configs = true
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namespace_packages = true

specs/设计.md

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@@ -595,8 +595,8 @@ def with_dynamic_params(**param_mapping: Callable):
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)
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# 存储映射关系
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test_func._dynamic_param_mapping = param_mapping
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test_func._requires_dynamic_params = True
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test_func._mapping = param_mapping
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test_func._requires = True
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# 生成器将在pytest_generate_tests钩子中注册
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# 在那里可以根据param_name创建ParamGenerator实例

src/__init__.py

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This file was deleted.

src/dynamic_params/config.py

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@@ -23,7 +23,8 @@ class DynamicParamConfig:
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"debug": {"enabled": "false", "profile": "false"},
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}
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_instance = None
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_instance: Optional["DynamicParamConfig"] = None
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_config: Dict[str, Any]
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def __new__(cls):
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if cls._instance is None:
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def _normalize_config(self, config: configparser.ConfigParser) -> Dict[str, Any]:
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"""标准化配置值"""
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normalized = {}
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normalized: Dict[str, Any] = {}
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for section in config.sections():
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normalized[section] = {}

src/dynamic_params/core/generator.py

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import inspect
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from typing import Any, Callable, Dict, List, TypeVar
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from typing import Any, Callable, Dict, List, Optional, TypeVar
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T = TypeVar("T")
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self._cache: Dict[str, Any] = {}
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self.stats = {"hits": 0, "misses": 0, "executions": 0}
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self.dependencies = self._extract_dependencies(func)
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self._input_values = None
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self._input_values: Optional[List[Any]] = None
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def get_result(self, context: Dict[str, Any]) -> Any:
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"""获取生成结果"""

src/dynamic_params/core/registry.py

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"""参数生成器注册表模块"""
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from typing import Callable, List, Optional
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from typing import Any, Callable, Dict, List, Optional
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from ..errors import InvalidGeneratorError
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from .generator import ParamGenerator
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class GeneratorRegistry:
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"""生成器注册表(单例)"""
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_instance = None
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_instance: Optional["GeneratorRegistry"] = None
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_generators: Dict[str, ParamGenerator]
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_param_to_generator: Dict[str, str]
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_scoped_caches: Dict[str, Dict[str, Any]]
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def __new__(cls):
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if cls._instance is None:

src/dynamic_params/decorators.py

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装饰器调用入口
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"""
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# 添加类型标记(供with_dynamic_params验证)
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func._is_param_generator = True
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func._scope = self.scope
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func._cache_enabled = self.cache_enabled
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func._lazy_support = self.lazy_support
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func._decorator_args = {
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func._is_param_generator = True # type: ignore[attr-defined]
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func._scope = self.scope # type: ignore[attr-defined]
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func._cache_enabled = self.cache_enabled # type: ignore[attr-defined]
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func._lazy_support = self.lazy_support # type: ignore[attr-defined]
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func._decorator_args = { # type: ignore[attr-defined]
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"scope": self.scope,
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"cache_enabled": self.cache_enabled,
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"lazy_support": self.lazy_support,
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)
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# Initialize dynamic param attributes on test function
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test_func._dynamic_param_mapping = param_mapping
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test_func._requires_dynamic_params = True
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test_func._mapping = param_mapping # type: ignore[attr-defined]
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test_func._requires = True # type: ignore[attr-defined]
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# Mark function as dynamic param test
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test_func.pytestmark = getattr(test_func, "pytestmark", [])
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test_func.pytestmark.append(pytest.mark.dynamic_param)
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test_func.pytestmark = getattr(test_func, "pytestmark", []) # type: ignore
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test_func.pytestmark.append(pytest.mark.dynamic_param) # type: ignore
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@functools.wraps(test_func)
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def wrapper(*args, **kwargs):
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return test_func(*args, **kwargs)
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# 传递动态参数元数据到wrapper
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wrapper._dynamic_param_mapping = test_func._dynamic_param_mapping
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wrapper._requires_dynamic_params = test_func._requires_dynamic_params
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wrapper._mapping = test_func._mapping # type: ignore[attr-defined]
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wrapper._requires = test_func._requires # type: ignore[attr-defined]
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# 确保wrapper也被识别为测试
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wrapper.pytestmark = getattr(wrapper, "pytestmark", [])
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wrapper.pytestmark.append(pytest.mark.dynamic_param)
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wrapper.pytestmark = getattr(wrapper, "pytestmark", []) # type: ignore
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wrapper.pytestmark.append(pytest.mark.dynamic_param) # type: ignore
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# 确保wrapper有正确的 __name__
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wrapper.__name__ = test_func.__name__

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