TermiNexus
5692e9b097
Converter.convert 147 次调用 45s、_process_file_pyi 98 次 50s。convert 按 (内容, 模块名) 纯函数缓存并合并内部两次 ast.parse；Phase1 按 (绝对路径, 模块名)+mtime+size 缓存 pyi 转换结果与 docstrings，未变化 跳过 open+read+parse。缓存上限 4096 条防内存膨胀，配置变更时清空。
1031 lines
51 KiB
Python
1031 lines
51 KiB
Python
"""StubGen 转换器模块 - 将 Python 文件转换为存根格式"""
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from __future__ import annotations
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import vast as ast
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import re
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import fnmatch
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from typing import List, Dict
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from lib.core.SymbolUtils import IsListAnnotation, ExpandSoftKeywords
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# 模块级转换结果缓存：{ (PyContent, ModuleName): str }
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# convert 是纯函数（类级配置 IncludeAliasMap/VarExcludeList/MacroExcludeList 运行期不变），
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# 相同输入必然产生相同输出。结果字符串不可变，调用方仅将其写入文件或拼接出新字符串，
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# 缓存结果可安全复用（无需深拷贝）。Set* 配置方法会清空缓存以防配置变化导致结果过期。
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_ConvertResultCache: dict[tuple[str, str], str] = {}
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_ConvertCacheMaxSize: int = 4096
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class PythonToStubConverter:
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"""将 Python 文件转换为存根格式"""
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# __include 别名映射表 {alias: ModuleName}
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IncludeAliasMap: Dict[str, str] = {}
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# 变量排除列表 - 匹配这些模式的变量不会被添加到存根文件
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VarExcludeList: List[str] = []
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# 宏排除列表 - 匹配这些模式的宏不会被添加到存根文件
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MacroExcludeList: List[str] = []
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@classmethod
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def SetIncludeAliasMap(cls, alias_map: Dict[str, str]) -> None:
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"""设置 __include 别名映射表"""
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cls.IncludeAliasMap = alias_map
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_ConvertResultCache.clear()
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@classmethod
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def SetVarExcludeList(cls, exclude_list: List[str]) -> None:
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"""设置变量排除列表"""
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cls.VarExcludeList = exclude_list
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_ConvertResultCache.clear()
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@classmethod
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def SetMacroExcludeList(cls, exclude_list: List[str]) -> None:
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"""设置宏排除列表"""
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cls.MacroExcludeList = exclude_list
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_ConvertResultCache.clear()
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@classmethod
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def _ShouldExcludeVar(cls, VarName: str) -> bool:
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"""检查变量是否应该被排除"""
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for pattern in cls.VarExcludeList:
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if fnmatch.fnmatch(VarName, pattern):
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return True
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return False
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@classmethod
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def _ShouldExcludeMacro(cls, MacroName: str) -> bool:
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"""检查宏是否应该被排除"""
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for pattern in cls.MacroExcludeList:
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if fnmatch.fnmatch(MacroName, pattern):
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return True
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return False
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@staticmethod
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def convert(PyContent: str, ModuleName: str) -> str:
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"""将 Python 代码转换为存根格式"""
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# 软关键字展开：fn/fun/func/function -> def（行内等宽/更短，行号不变），
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# 保证后续 ast.parse 与 SourceLines 回读行号一致。
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PyContent = ExpandSoftKeywords(PyContent)
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# 模块级缓存：同一 (内容, 模块名) 直接复用上次转换结果（纯函数输出，不可变字符串）
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CacheKey: tuple[str, str] = (PyContent, ModuleName)
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CachedResult: str | None = _ConvertResultCache.get(CacheKey)
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if CachedResult is not None:
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return CachedResult
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lines: list[str] = PyContent.split('\n')
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StubLines: list[str] = []
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# 添加文件头
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StubLines.append('"""')
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StubLines.append(f'Auto-generated Python stub file from {ModuleName}.vp')
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StubLines.append(f'Module: {ModuleName}')
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StubLines.append('"""')
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StubLines.append('')
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# 解析 Python 代码，检查是否已经导入了 t 和 c（AST 与下方主解析复用，避免重复 parse）
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HasImportT: bool = False
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HasImportC: bool = False
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try:
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tree: ast.Module = ast.parse(PyContent)
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for node in tree.body:
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if isinstance(node, ast.Import):
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for alias in node.names:
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if alias.name == 't':
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HasImportT = True
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elif alias.name == 'c':
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HasImportC = True
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except SyntaxError:
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# 语法错误：同一内容两次解析结果必然相同，与主循环 fail-fast 行为一致
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raise
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except Exception:
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# 非语法类解析异常：保持原语义（第一遍吞掉，主循环重新解析后向上传播）
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tree = None
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# 添加默认导入（如果源代码中没有）
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if not HasImportT:
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StubLines.append('import t')
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if not HasImportC:
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StubLines.append('import c')
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if not HasImportT or not HasImportC:
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StubLines.append('')
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# 添加 c.CPragma("once")
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# StubLines.append('c.CPragma("once")')
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StubLines.append('')
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# 生成文件级别宏守卫名称
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#FileGuardName = f'__{ModuleName.upper()}_DEFINE__'
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# 添加文件开头宏守卫
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#StubLines.append(f'c.CIfndef({FileGuardName})')
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#StubLines.append(f'{FileGuardName}: t.CDefine')
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#StubLines.append('')
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# 解析 Python 代码，提取类型定义（复用上方的 parse 结果）
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try:
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if tree is None:
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# 第一遍解析失败（非语法类异常）：重试一次，保持原"主循环重新解析"语义
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tree = ast.parse(PyContent)
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# 第一遍扫描：收集 Postdefinition 变量
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PostdefVars: dict[str, list[tuple[str, str, ast.AnnAssign]]] = {} # {ClassName: [(VarName, TypeStr, node), ...]}
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for node in tree.body:
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if isinstance(node, ast.AnnAssign) and isinstance(node.target, ast.Name):
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TypeStr: str = PythonToStubConverter._GetTypeString(node.annotation)
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# 检查是否是 Postdefinition 类型
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if 't.Postdefinition' in TypeStr:
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# 提取引用的类名
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ClassName: str | None = PythonToStubConverter._ExtractPostdefClass(node.annotation)
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if ClassName:
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if ClassName not in PostdefVars:
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PostdefVars[ClassName] = []
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PostdefVars[ClassName].append((node.target.id, TypeStr, node))
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# 按原始顺序处理节点，保持代码的原始顺序
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PrevType: str | None = None # 记录前一个节点的类型
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for node in tree.body:
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CurrentType: str | None = None
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if isinstance(node, ast.ClassDef):
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CurrentType = 'class'
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# 如果前一个不是类，添加空行分隔
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if PrevType is not None and PrevType != 'class':
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StubLines.append('')
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# 检查是否有对应的 Postdefinition 变量
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ClassPostdefs: list[tuple[str, str, ast.AnnAssign]] = PostdefVars.get(node.name, [])
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ClassLines: list[str] = PythonToStubConverter._ConvertClass(
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node, SourceLines=lines, PostdefVars=ClassPostdefs
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)
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StubLines.extend(ClassLines)
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elif isinstance(node, ast.FunctionDef):
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CurrentType = 'function'
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# 如果前一个是类或者是第一个函数，添加空行分隔
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if PrevType == 'class' or (PrevType is not None and PrevType != 'function'):
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StubLines.append('')
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FuncLines: list[str] = PythonToStubConverter._ConvertFunction(node, SourceLines=lines)
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StubLines.extend(FuncLines)
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StubLines.append('') # 函数后空行
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elif isinstance(node, ast.AnnAssign):
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CurrentType = 'variable'
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# 跳过 Postdefinition 变量（已经在类中处理）
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TypeStr = PythonToStubConverter._GetTypeString(node.annotation)
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if 't.Postdefinition' in TypeStr:
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continue
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# 检查是否带有 t.CStatic 标志，如果有则不排除
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HasStatic: bool = 't.CStatic' in TypeStr
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# 检查变量是否应该被排除
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ShouldExclude: bool = False
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if isinstance(node.target, ast.Name) and not HasStatic:
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VarName: str = node.target.id
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if PythonToStubConverter._ShouldExcludeVar(VarName):
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ShouldExclude = True
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if ShouldExclude:
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continue
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# 如果前一个不是变量，添加空行分隔
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if PrevType is not None and PrevType != 'variable':
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StubLines.append('')
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VarLines: list[str] = PythonToStubConverter._ConvertVariable(node, SourceLines=lines)
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# 移除多余的空行
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VarLines = [line for line in VarLines if line.strip()]
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StubLines.extend(VarLines)
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elif isinstance(node, ast.Import):
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# 处理导入语句
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CurrentType = 'import'
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ImportStr: str = PythonToStubConverter._GetImportString(node, SourceLines=lines)
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if ImportStr:
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if PrevType is not None and PrevType != 'import':
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StubLines.append('')
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StubLines.append(ImportStr)
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elif isinstance(node, ast.Assign):
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CurrentType = 'variable'
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# 处理模块级别的全局变量（无类型标注）
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if PrevType is not None and PrevType != 'variable':
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StubLines.append('')
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AssignLines: list[str] = PythonToStubConverter._ConvertGlobalAssign(node)
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StubLines.extend(AssignLines)
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elif isinstance(node, ast.ImportFrom):
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# 处理 from ... import ... 语句
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CurrentType = 'import'
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ImportStr = PythonToStubConverter._GetImportFromString(node, SourceLines=lines)
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if ImportStr:
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if PrevType is not None and PrevType != 'import':
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StubLines.append('')
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StubLines.append(ImportStr)
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elif isinstance(node, ast.Expr):
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# 处理模块级别的宏调用，如 c.CIf(...), c.CEndif()
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ExprStr: str = PythonToStubConverter._GetExprString(node.value)
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if ExprStr:
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CurrentType = 'macro'
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StubLines.append(ExprStr)
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StubLines.append('') # 宏后空行
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elif isinstance(node, ast.If):
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# 处理模块级别的 if 宏条件，如 if c.CIf(FF_MULTI_PARTITION):
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IfStr: str = PythonToStubConverter._GetModuleIfMacroString(node)
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if IfStr:
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CurrentType = 'macro'
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StubLines.append(IfStr)
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StubLines.append('') # 宏后空行
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if CurrentType:
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PrevType = CurrentType
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# 添加文件结尾宏守卫
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#StubLines.append('')
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#StubLines.append('c.CEndif()')
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except SyntaxError as e:
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# 语法错误直接终止（fail-fast），不允许生成残缺 stub 被全局缓存命中。
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# 残缺 vpi 只含 import 头，函数/类型声明全缺，会在后续阶段以
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# undefined symbol / mangle 错误形式爆发（如 ExpandKeywordsTest 链接失败）。
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raise
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Result: str = '\n'.join(StubLines)
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# 缓存上限保护：条目过多时整体清空，避免内存无限增长（结果可随时重算）
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if len(_ConvertResultCache) >= _ConvertCacheMaxSize:
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_ConvertResultCache.clear()
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_ConvertResultCache[CacheKey] = Result
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return Result
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@staticmethod
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def _ConvertClass(node: ast.ClassDef, SourceLines: list[str] | None = None, PostdefVars: list[tuple[str, str, ast.AnnAssign]] | None = None, indent: int = 0) -> list[str]:
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"""转换类定义
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Args:
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node: 类定义节点
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SourceLines: 源代码行列表
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PostdefVars: Postdefinition 变量列表 [(VarName, TypeStr, node), ...]
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indent: 缩进级别（用于嵌套类）
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"""
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lines: list[str] = []
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PostdefVars = PostdefVars or []
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IndentStr: str = ' ' * indent
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# 处理类装饰器
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for decorator in node.decorator_list:
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DecoratorStr: str = PythonToStubConverter._GetDecoratorString(decorator)
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if DecoratorStr:
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lines.append(f'{IndentStr}@{DecoratorStr}')
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# 检查是否是结构体、联合体或枚举
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BaseNames: list[str] = [base.attr if isinstance(base, ast.Attribute) else base.id
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for base in node.bases
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if isinstance(base, (ast.Name, ast.Attribute))]
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# 保留原始基类
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if node.bases:
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BaseStrs: list[str] = []
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for base in node.bases:
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if isinstance(base, ast.Name):
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BaseStrs.append(base.id)
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elif isinstance(base, ast.Attribute):
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BaseStrs.append(f'{base.value.id}.{base.attr}')
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elif isinstance(base, ast.Subscript):
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# 处理泛型类型，如 memory_block_t[MAX_ORDER + 1]
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BaseStrs.append(PythonToStubConverter._GetTypeString(base))
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ClassTypeParamStr: str = ''
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if hasattr(node, 'type_params') and node.type_params:
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param_names: list[str] = [tp.name for tp in node.type_params]
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ClassTypeParamStr = f'[{", ".join(param_names)}]'
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if BaseStrs:
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lines.append(f'{IndentStr}class {node.name}{ClassTypeParamStr}({", ".join(BaseStrs)}):')
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else:
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lines.append(f'{IndentStr}class {node.name}{ClassTypeParamStr}:')
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else:
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ClassTypeParamStr = ''
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if hasattr(node, 'type_params') and node.type_params:
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param_names = [tp.name for tp in node.type_params]
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ClassTypeParamStr = f'[{", ".join(param_names)}]'
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lines.append(f'{IndentStr}class {node.name}{ClassTypeParamStr}:')
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# 处理类成员
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HasMembers: bool = False
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seen_member_names: set[str] = set()
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for item in node.body:
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if isinstance(item, ast.AnnAssign) and isinstance(item.target, ast.Name):
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seen_member_names.add(item.target.id)
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init_members: list[ast.AnnAssign] = []
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for item in node.body:
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if isinstance(item, ast.FunctionDef) and item.name == '__init__':
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for stmt in item.body:
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if (isinstance(stmt, ast.AnnAssign)
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and isinstance(stmt.target, ast.Attribute)
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and isinstance(stmt.target.value, ast.Name)
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and stmt.target.value.id == 'self'):
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init_members.append(stmt)
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untyped_self_members: list[ast.Assign] = []
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for m_name in [m.target.attr for m in init_members if isinstance(m.target, ast.Attribute)]:
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seen_member_names.add(m_name)
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for item in node.body:
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if isinstance(item, ast.FunctionDef):
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for stmt in item.body:
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if (isinstance(stmt, ast.Assign)
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and len(stmt.targets) == 1
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and isinstance(stmt.targets[0], ast.Attribute)
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and isinstance(stmt.targets[0].value, ast.Name)
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and stmt.targets[0].value.id == 'self'):
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attr_name: str = stmt.targets[0].attr
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if attr_name not in seen_member_names:
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seen_member_names.add(attr_name)
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untyped_self_members.append(stmt)
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for item in list(node.body) + init_members + untyped_self_members:
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if isinstance(item, ast.Assign):
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if (len(item.targets) == 1
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and isinstance(item.targets[0], ast.Attribute)
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and isinstance(item.targets[0].value, ast.Name)
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and item.targets[0].value.id == 'self'):
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HasMembers = True
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MemberIndent: str = IndentStr + ' '
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attr_name = item.targets[0].attr
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if attr_name in seen_member_names:
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continue
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InferredType: str = 'int'
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if item.value and isinstance(item.value, ast.Constant):
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if isinstance(item.value.value, float):
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InferredType = 'float'
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elif isinstance(item.value.value, bool):
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InferredType = 'bool'
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elif isinstance(item.value.value, str):
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InferredType = 'str'
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lines.append(f'{MemberIndent}{attr_name}: {InferredType}')
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else:
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HasMembers = True
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MemberIndent = IndentStr + ' '
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if SourceLines and hasattr(item, 'lineno'):
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StartLine: int = item.lineno - 1
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EndLine: int = item.end_lineno if hasattr(item, 'end_lineno') and item.end_lineno else StartLine + 1
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for i in range(StartLine, min(EndLine, len(SourceLines))):
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lines.append(MemberIndent + SourceLines[i].lstrip())
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elif isinstance(item, ast.AnnAssign):
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HasMembers = True
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TypeStr: str = PythonToStubConverter._GetTypeString(item.annotation)
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MemberIndent = IndentStr + ' '
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# __provides__/__requires__/__require_must__ 元数据：保留值以便跨模块加载
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if isinstance(item.target, ast.Name) and item.target.id in ('__provides__', '__requires__', '__require_must__'):
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if item.value is not None:
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try:
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value_str: str = ast.unparse(item.value)
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except Exception:
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value_str = ''
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lines.append(f'{MemberIndent}{item.target.id}: {TypeStr} = {value_str}')
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else:
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lines.append(f'{MemberIndent}{item.target.id}: {TypeStr}')
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continue
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# 检查是否是宏变量（类型包含 t.CDefine）
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if 't.CDefine' in TypeStr:
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# 检查宏变量是否应该被排除
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if isinstance(item.target, ast.Name):
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MacroName: str = item.target.id
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if PythonToStubConverter._ShouldExcludeMacro(MacroName):
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continue # 跳过该宏
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# 宏变量保持原样（包括赋值）
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if SourceLines and hasattr(item, 'lineno'):
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StartLine = item.lineno - 1
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EndLine = item.end_lineno if hasattr(item, 'end_lineno') and item.end_lineno else StartLine + 1
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for i in range(StartLine, min(EndLine, len(SourceLines))):
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lines.append(MemberIndent + SourceLines[i].lstrip())
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else:
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lines.append(f'{MemberIndent}{item.target.id}: {TypeStr}')
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else:
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if isinstance(item.target, ast.Attribute):
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MemberName: str = item.target.attr
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else:
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MemberName = item.target.id
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FinalTypeStr: str = TypeStr
|
||
if IsListAnnotation(item.annotation):
|
||
slice_node: ast.AST = item.annotation.slice
|
||
has_size: bool = False
|
||
if isinstance(slice_node, ast.Tuple) and len(slice_node.elts) == 2:
|
||
count_node: ast.AST = slice_node.elts[1]
|
||
if isinstance(count_node, ast.Constant) and isinstance(count_node.value, int) and count_node.value > 0:
|
||
has_size = True
|
||
else:
|
||
try:
|
||
count_expr: str = ast.unparse(count_node)
|
||
except Exception:
|
||
count_expr = ''
|
||
if count_expr and count_expr != 'None':
|
||
has_size = True
|
||
elem_type_str: str = PythonToStubConverter._GetTypeString(slice_node.elts[0])
|
||
FinalTypeStr = f't.CArray[{elem_type_str}, {count_expr}]'
|
||
if not has_size:
|
||
elem_type_str = PythonToStubConverter._GetTypeString(slice_node if not isinstance(slice_node, ast.Tuple) else slice_node.elts[0])
|
||
init_len: int = 0
|
||
if item.value is not None:
|
||
if isinstance(item.value, ast.List):
|
||
init_len = len(item.value.elts)
|
||
elif isinstance(item.value, ast.Constant) and isinstance(item.value.value, str):
|
||
init_len = len(item.value.value) + 1
|
||
if init_len > 0:
|
||
FinalTypeStr = f't.CArray[{elem_type_str}, {init_len}]'
|
||
else:
|
||
FinalTypeStr = f't.CArray[{elem_type_str}, None]'
|
||
if item.value is not None and isinstance(item.value, ast.Constant):
|
||
try:
|
||
value_repr: str = ast.unparse(item.value)
|
||
lines.append(f'{MemberIndent}{MemberName}: {FinalTypeStr} = {value_repr}')
|
||
except Exception:
|
||
lines.append(f'{MemberIndent}{MemberName}: {FinalTypeStr}')
|
||
else:
|
||
lines.append(f'{MemberIndent}{MemberName}: {FinalTypeStr}')
|
||
elif isinstance(item, ast.FunctionDef):
|
||
HasMembers = True
|
||
FuncStub: list[str] = PythonToStubConverter._ConvertFunction(item, indent=indent+1, SourceLines=SourceLines, class_name=node.name)
|
||
lines.extend(FuncStub)
|
||
elif isinstance(item, ast.Expr):
|
||
# 处理宏调用，如 c.CIf(...), c.CEndif(), c.CElif(), c.CElse()
|
||
ExprStr: str = PythonToStubConverter._GetExprString(item.value)
|
||
if ExprStr:
|
||
lines.append(f'{IndentStr} {ExprStr}')
|
||
elif isinstance(item, ast.If):
|
||
# 处理 if c.CIf(...): 形式的宏条件
|
||
IfStr: str = PythonToStubConverter._get_if_macro_string(item, indent=indent+1)
|
||
if IfStr:
|
||
lines.append(IfStr)
|
||
elif isinstance(item, ast.ClassDef):
|
||
# 处理嵌套类
|
||
HasMembers = True
|
||
NestedClassLines: list[str] = PythonToStubConverter._ConvertClass(item, SourceLines=SourceLines, PostdefVars=[], indent=indent+1)
|
||
# 移除嵌套类的宏守卫（因为已经在父类的宏守卫内）
|
||
FilteredLines: list[str] = []
|
||
for line in NestedClassLines:
|
||
# 跳过宏守卫相关行
|
||
if line.strip().startswith('c.CIfndef(') or line.strip().startswith('c.CEndif()'):
|
||
continue
|
||
if ': t.CDefine' in line and '__' in line:
|
||
continue
|
||
FilteredLines.append(line)
|
||
lines.extend(FilteredLines)
|
||
|
||
if not HasMembers:
|
||
lines.append(f'{IndentStr} pass')
|
||
|
||
# 添加 Postdefinition 变量
|
||
if PostdefVars:
|
||
lines.append('')
|
||
for VarName, TypeStr, _ in PostdefVars:
|
||
lines.append(f'{VarName}: {TypeStr}')
|
||
|
||
return lines
|
||
|
||
@staticmethod
|
||
def _ConvertFunction(node: ast.FunctionDef, indent: int = 0, SourceLines: list[str] | None = None, class_name: str | None = None) -> list[str]:
|
||
"""转换函数定义"""
|
||
lines: list[str] = []
|
||
IndentStr: str = ' ' * indent
|
||
|
||
# 检查是否是宏函数（返回类型包含 t.CDefine）
|
||
is_macro_func: bool = False
|
||
if node.returns:
|
||
ReturnType: str = PythonToStubConverter._GetTypeString(node.returns)
|
||
if 't.CDefine' in ReturnType:
|
||
is_macro_func = True
|
||
|
||
# 如果是宏函数，检查是否应该被排除
|
||
if is_macro_func:
|
||
if PythonToStubConverter._ShouldExcludeMacro(node.name):
|
||
return lines # 返回空列表，排除该宏
|
||
|
||
# 保持原样（包括代码块）
|
||
if SourceLines:
|
||
StartLine: int = node.lineno - 1
|
||
EndLine: int = node.end_lineno if hasattr(node, 'end_lineno') and node.end_lineno else StartLine + 1
|
||
for i in range(StartLine, min(EndLine, len(SourceLines))):
|
||
lines.append(SourceLines[i])
|
||
if lines and lines[-1].strip() and not lines[-1].rstrip().endswith(':'):
|
||
pass
|
||
else:
|
||
lines.append(f'{IndentStr} pass')
|
||
return lines
|
||
|
||
# 处理函数装饰器
|
||
for decorator in node.decorator_list:
|
||
DecoratorStr: str = PythonToStubConverter._GetDecoratorString(decorator)
|
||
if DecoratorStr:
|
||
lines.append(f'{IndentStr}@{DecoratorStr}')
|
||
|
||
# 构建参数列表
|
||
# 治本修复：原实现只遍历 node.args.args，完全忽略 node.args.defaults，
|
||
# 导致带默认值的参数（如 category: str = ""）在 .pyi 中丢失默认值。
|
||
# 下游 DeclarationGenerator 据此生成 stub.ll 时，会因缺少默认参数而
|
||
# 生成参数数量不足的 declare，进而造成调用方 ABI 不匹配崩溃。
|
||
# 修复：按 Python AST 语义，defaults 从右向左对应 args 末尾的参数，
|
||
# 对有默认值的参数附加 '= <default_value>'。
|
||
params: list[str] = []
|
||
NumDefaults: int = len(node.args.defaults) if node.args.defaults else 0
|
||
DefaultsStart: int = len(node.args.args) - NumDefaults
|
||
for arg_idx, arg in enumerate(node.args.args):
|
||
ArgName: str = arg.arg
|
||
if arg.annotation:
|
||
TypeStr: str = PythonToStubConverter._GetTypeString(arg.annotation)
|
||
ParamPart: str = f'{ArgName}: {TypeStr}'
|
||
elif class_name and arg_idx == 0 and ArgName == 'self':
|
||
ParamPart = f'self: {class_name}'
|
||
else:
|
||
ParamPart = ArgName
|
||
# 附加默认值：defaults[i] 对应 args[DefaultsStart + i]
|
||
if NumDefaults > 0 and arg_idx >= DefaultsStart:
|
||
DefaultIdx: int = arg_idx - DefaultsStart
|
||
try:
|
||
DefaultStr: str = ast.unparse(node.args.defaults[DefaultIdx])
|
||
ParamPart = f'{ParamPart} = {DefaultStr}'
|
||
except Exception:
|
||
# unparse 失败时保留无默认值形式，避免阻塞生成
|
||
pass
|
||
params.append(ParamPart)
|
||
|
||
# 处理 *args
|
||
if node.args.vararg:
|
||
ArgName = node.args.vararg.arg
|
||
if node.args.vararg.annotation:
|
||
TypeStr = PythonToStubConverter._GetTypeString(node.args.vararg.annotation)
|
||
params.append(f'*{ArgName}: {TypeStr}')
|
||
else:
|
||
params.append(f'*{ArgName}')
|
||
|
||
# 处理 **kwargs
|
||
if node.args.kwarg:
|
||
ArgName = node.args.kwarg.arg
|
||
if node.args.kwarg.annotation:
|
||
TypeStr = PythonToStubConverter._GetTypeString(node.args.kwarg.annotation)
|
||
params.append(f'**{ArgName}: {TypeStr}')
|
||
else:
|
||
params.append(f'**{ArgName}')
|
||
|
||
ParamStr: str = ', '.join(params)
|
||
|
||
# 返回类型 - 保持原始类型（不添加t.State）
|
||
if node.returns:
|
||
ReturnType = PythonToStubConverter._GetTypeString(node.returns)
|
||
else:
|
||
ReturnType = 't.CInt'
|
||
|
||
TypeParamStr: str = ''
|
||
if hasattr(node, 'type_params') and node.type_params:
|
||
param_names: list[str] = [tp.name for tp in node.type_params]
|
||
TypeParamStr = f'[{", ".join(param_names)}]'
|
||
|
||
lines.append(f'{IndentStr}def {node.name}{TypeParamStr}({ParamStr}) -> {ReturnType}: pass')
|
||
return lines
|
||
|
||
@staticmethod
|
||
def _ConvertVariable(node: ast.AnnAssign, SourceLines: list[str] | None = None) -> list[str]:
|
||
"""转换变量定义"""
|
||
lines: list[str] = []
|
||
if isinstance(node.target, ast.Name):
|
||
VarName: str = node.target.id
|
||
TypeStr: str = PythonToStubConverter._GetTypeString(node.annotation)
|
||
# 检查是否是宏变量（类型包含 t.CDefine）
|
||
if 't.CDefine' in TypeStr:
|
||
# 检查宏变量是否应该被排除
|
||
if PythonToStubConverter._ShouldExcludeMacro(VarName):
|
||
return lines # 返回空列表，排除该宏
|
||
# 宏变量保持原样（包括赋值）
|
||
if SourceLines and hasattr(node, 'lineno'):
|
||
StartLine: int = node.lineno - 1
|
||
EndLine: int = node.end_lineno if hasattr(node, 'end_lineno') and node.end_lineno else StartLine + 1
|
||
for i in range(StartLine, min(EndLine, len(SourceLines))):
|
||
lines.append(SourceLines[i])
|
||
else:
|
||
lines.append(f'{VarName}: {TypeStr}')
|
||
return lines
|
||
# 非宏变量：不加 t.State
|
||
# 含有 typedef 的变量不加 extern，普通变量需要加 extern
|
||
has_typedef: bool = 't.CTypedef' in TypeStr or 'CTypedef' in TypeStr
|
||
if has_typedef and node.value is not None:
|
||
ValueTypeStr: str = PythonToStubConverter._GetTypeString(node.value)
|
||
lines.append(f'{VarName}: {TypeStr} = {ValueTypeStr}')
|
||
else:
|
||
if not has_typedef and 't.CExtern' not in TypeStr and 't.CStatic' not in TypeStr:
|
||
TypeStr = f't.CExtern | {TypeStr}'
|
||
lines.append(f'{VarName}: {TypeStr}')
|
||
return lines
|
||
|
||
@staticmethod
|
||
def _ConvertGlobalAssign(node: ast.Assign) -> list[str]:
|
||
"""转换模块级别的全局变量（无类型标注）"""
|
||
lines: list[str] = []
|
||
if not node.targets or not isinstance(node.targets[0], ast.Name):
|
||
return lines
|
||
|
||
VarName: str = node.targets[0].id
|
||
|
||
# 跳过私有变量（以下划线开头）
|
||
if VarName.startswith('_'):
|
||
return lines
|
||
|
||
# 从值推断类型
|
||
inferred_type: str | None = PythonToStubConverter._InferTypeFromValue(node.value)
|
||
if inferred_type:
|
||
lines.append(f'{VarName}: {inferred_type}')
|
||
else:
|
||
lines.append(f'{VarName}: t.CInt')
|
||
|
||
return lines
|
||
|
||
@staticmethod
|
||
def _InferTypeFromValue(value: ast.AST) -> str | None:
|
||
"""从值推断 C 类型"""
|
||
if isinstance(value, ast.Constant):
|
||
if isinstance(value.value, int):
|
||
return 't.CInt'
|
||
elif isinstance(value.value, float):
|
||
return 't.CDouble'
|
||
elif isinstance(value.value, str):
|
||
return 't.CCharPtr'
|
||
elif isinstance(value.value, bool):
|
||
return 't.CInt'
|
||
elif isinstance(value, ast.List):
|
||
return 't.CVoidPtr'
|
||
elif isinstance(value, ast.Dict):
|
||
return 't.CVoidPtr'
|
||
elif isinstance(value, ast.Name):
|
||
return 't.CInt'
|
||
elif isinstance(value, ast.BinOp):
|
||
left_type: str | None = PythonToStubConverter._InferTypeFromValue(value.left)
|
||
if left_type:
|
||
return left_type
|
||
return 't.CInt'
|
||
elif isinstance(value, ast.Call):
|
||
# 函数调用返回值，假设为指针类型
|
||
if isinstance(value.func, ast.Name):
|
||
func_name: str = value.func.id
|
||
if func_name == 'malloc':
|
||
return 't.CVoidPtr'
|
||
elif func_name in ('ctypes.cast', 'cast'):
|
||
return 't.CVoidPtr'
|
||
return 't.CVoidPtr'
|
||
return None
|
||
|
||
@staticmethod
|
||
def _GetTypeString(annotation: ast.AST) -> str:
|
||
"""获取类型字符串"""
|
||
if isinstance(annotation, ast.Name):
|
||
return annotation.id
|
||
elif isinstance(annotation, ast.Attribute):
|
||
if isinstance(annotation.value, ast.Name):
|
||
return f'{annotation.value.id}.{annotation.attr}'
|
||
else:
|
||
# 处理嵌套属性访问，如 t.attr.packed
|
||
ParentStr: str = PythonToStubConverter._GetTypeString(annotation.value)
|
||
return f'{ParentStr}.{annotation.attr}'
|
||
elif isinstance(annotation, ast.Subscript):
|
||
base: str = PythonToStubConverter._GetTypeString(annotation.value)
|
||
if isinstance(annotation.slice, ast.Tuple):
|
||
slice_strs: list[str] = [PythonToStubConverter._GetTypeString(e) for e in annotation.slice.elts]
|
||
SliceStr: str = ', '.join(slice_strs)
|
||
else:
|
||
SliceStr = PythonToStubConverter._GetTypeString(annotation.slice)
|
||
return f'{base}[{SliceStr}]'
|
||
elif isinstance(annotation, ast.BinOp):
|
||
# 处理 BinOp，如 t.CExtern | fd_table.__set_default__(...)
|
||
left: ast.AST = annotation.left
|
||
right: ast.AST = annotation.right
|
||
|
||
# 检查右侧是否是 __set_default__ 调用
|
||
if isinstance(right, ast.Call) and isinstance(right.func, ast.Attribute) and right.func.attr in ('__set_default__', '__set_default'):
|
||
# 去除 __set_default__，保留左侧，右侧替换为函数名部分
|
||
LeftStr: str = PythonToStubConverter._GetTypeString(left)
|
||
RightStr: str = PythonToStubConverter._GetTypeString(right.func.value)
|
||
if isinstance(annotation.op, ast.BitOr):
|
||
return f'{LeftStr} | {RightStr}'
|
||
|
||
LeftStr = PythonToStubConverter._GetTypeString(left)
|
||
RightStr = PythonToStubConverter._GetTypeString(right)
|
||
if isinstance(annotation.op, ast.BitOr):
|
||
return f'{LeftStr} | {RightStr}'
|
||
elif isinstance(annotation.op, ast.Add):
|
||
return f'{LeftStr} + {RightStr}'
|
||
elif isinstance(annotation.op, ast.Sub):
|
||
return f'{LeftStr} - {RightStr}'
|
||
elif isinstance(annotation.op, ast.Mult):
|
||
return f'{LeftStr} * {RightStr}'
|
||
elif isinstance(annotation.op, ast.Div):
|
||
return f'{LeftStr} / {RightStr}'
|
||
elif isinstance(annotation.op, ast.Mod):
|
||
return f'{LeftStr} % {RightStr}'
|
||
elif isinstance(annotation, ast.UnaryOp):
|
||
if isinstance(annotation.op, ast.Not):
|
||
operand: str = PythonToStubConverter._GetTypeString(annotation.operand)
|
||
return f'not {operand}'
|
||
elif isinstance(annotation.op, ast.Invert):
|
||
operand = PythonToStubConverter._GetTypeString(annotation.operand)
|
||
return f'~{operand}'
|
||
elif isinstance(annotation.op, ast.USub):
|
||
operand = PythonToStubConverter._GetTypeString(annotation.operand)
|
||
return f'-{operand}'
|
||
elif isinstance(annotation, ast.Compare):
|
||
# 处理比较操作，如 FF_MAX_SS != FF_MIN_SS
|
||
left: str = PythonToStubConverter._GetTypeString(annotation.left)
|
||
comparators: list[str] = [PythonToStubConverter._GetTypeString(c) for c in annotation.comparators]
|
||
ops: list[str] = []
|
||
for op in annotation.ops:
|
||
if isinstance(op, ast.Eq):
|
||
ops.append('==')
|
||
elif isinstance(op, ast.NotEq):
|
||
ops.append('!=')
|
||
elif isinstance(op, ast.Lt):
|
||
ops.append('<')
|
||
elif isinstance(op, ast.LtE):
|
||
ops.append('<=')
|
||
elif isinstance(op, ast.Gt):
|
||
ops.append('>')
|
||
elif isinstance(op, ast.GtE):
|
||
ops.append('>=')
|
||
else:
|
||
ops.append('?')
|
||
result: str = left
|
||
for i, op in enumerate(ops):
|
||
result += f' {op} {comparators[i]}'
|
||
return result
|
||
elif isinstance(annotation, ast.Constant):
|
||
return repr(annotation.value)
|
||
elif isinstance(annotation, ast.Index):
|
||
return PythonToStubConverter._GetTypeString(annotation.value)
|
||
elif isinstance(annotation, ast.List):
|
||
# 处理列表，如 [MAX_FILE_DESCRIPTORS]
|
||
elements: list[str] = [PythonToStubConverter._GetTypeString(elem) for elem in annotation.elts]
|
||
return f'[{", ".join(elements)}]'
|
||
elif isinstance(annotation, ast.Call):
|
||
# 处理函数调用形式的类型注解，如 t.Postdefinition(xxa) 或 callable(t.CVoid, app_id = t.CInt)
|
||
# 如果是 __set_default__ 调用，只返回函数名部分
|
||
if isinstance(annotation.func, ast.Attribute) and annotation.func.attr in ('__set_default__', '__set_default'):
|
||
return PythonToStubConverter._GetTypeString(annotation.func.value)
|
||
|
||
FuncStr: str = PythonToStubConverter._GetTypeString(annotation.func)
|
||
ArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in annotation.args])
|
||
# 处理关键字参数
|
||
keywords_str: str = ', '.join([f'{kw.arg} = {PythonToStubConverter._GetTypeString(kw.value)}' for kw in annotation.keywords])
|
||
# 合并位置参数和关键字参数
|
||
if ArgsStr and keywords_str:
|
||
return f'{FuncStr}({ArgsStr}, {keywords_str})'
|
||
elif keywords_str:
|
||
return f'{FuncStr}({keywords_str})'
|
||
else:
|
||
return f'{FuncStr}({ArgsStr})'
|
||
return 't.CVoid'
|
||
|
||
@staticmethod
|
||
def _ExtractPostdefClass(annotation: ast.AST) -> str | None:
|
||
"""从 Postdefinition 类型注解中提取类名
|
||
|
||
例如：t.Postdefinition(__buddy_system) -> '__buddy_system'
|
||
t.Postdefinition(xxx) | t.CTypedef -> 'xxx'
|
||
"""
|
||
# 处理 BinOp (如: t.Postdefinition(xxx) | t.CTypedef)
|
||
if isinstance(annotation, ast.BinOp):
|
||
# 递归检查左操作数
|
||
left_result: str | None = PythonToStubConverter._ExtractPostdefClass(annotation.left)
|
||
if left_result:
|
||
return left_result
|
||
# 递归检查右操作数
|
||
right_result: str | None = PythonToStubConverter._ExtractPostdefClass(annotation.right)
|
||
if right_result:
|
||
return right_result
|
||
return None
|
||
|
||
# 处理函数调用 (如: t.Postdefinition(__buddy_system))
|
||
if isinstance(annotation, ast.Call):
|
||
FuncStr: str = PythonToStubConverter._GetTypeString(annotation.func)
|
||
if FuncStr == 't.Postdefinition' and annotation.args:
|
||
# 提取第一个参数
|
||
first_arg: ast.AST = annotation.args[0]
|
||
if isinstance(first_arg, ast.Name):
|
||
return first_arg.id
|
||
elif isinstance(first_arg, ast.Attribute):
|
||
return f'{first_arg.value.id}.{first_arg.attr}'
|
||
|
||
return None
|
||
|
||
@staticmethod
|
||
def _GetImportString(node: ast.Import, SourceLines: list[str] | None = None) -> str:
|
||
"""获取导入语句字符串"""
|
||
parts: list[str] = []
|
||
IncludeAliasMap: dict[str, str] = PythonToStubConverter.IncludeAliasMap
|
||
|
||
for alias in node.names:
|
||
ModuleName: str = alias.name
|
||
# 检查是否是 __include.xxx 格式的导入
|
||
if ModuleName.startswith('__include.'):
|
||
# 提取别名（xxx 部分）
|
||
SubModule: str = ModuleName[len('__include.'):]
|
||
if SubModule in IncludeAliasMap:
|
||
# 替换为实际模块路径
|
||
RealModule: str = IncludeAliasMap[SubModule]
|
||
if alias.asname:
|
||
parts.append(f'{RealModule} as {alias.asname}')
|
||
else:
|
||
parts.append(f'{RealModule} as {SubModule}')
|
||
else:
|
||
# 不在映射表中，保持原样
|
||
if alias.asname:
|
||
parts.append(f'{ModuleName} as {alias.asname}')
|
||
else:
|
||
parts.append(ModuleName)
|
||
else:
|
||
if alias.asname:
|
||
parts.append(f'{alias.name} as {alias.asname}')
|
||
else:
|
||
parts.append(alias.name)
|
||
|
||
result: str = f'import {", ".join(parts)}'
|
||
|
||
# 提取并保留注释
|
||
if SourceLines and hasattr(node, 'lineno'):
|
||
LineIdx: int = node.lineno - 1
|
||
if 0 <= LineIdx < len(SourceLines):
|
||
line: str = SourceLines[LineIdx]
|
||
CommentMatch: re.Match | None = re.search(r'#.*$', line)
|
||
if CommentMatch:
|
||
result += ' ' + CommentMatch.group(0)
|
||
|
||
return result
|
||
|
||
@staticmethod
|
||
def _GetImportFromString(node: ast.ImportFrom, SourceLines: list[str] | None = None) -> str:
|
||
"""获取 from ... import ... 语句字符串"""
|
||
module: str = node.module or ''
|
||
parts: list[str] = []
|
||
IncludeAliasMap: dict[str, str] = PythonToStubConverter.IncludeAliasMap
|
||
|
||
# 处理相对导入 (from . import xxx 或 from ..package import xxx)
|
||
if node.level > 0:
|
||
if module:
|
||
if node.level == 1:
|
||
full_module: str = f'.{module}'
|
||
else:
|
||
full_module = '.' * node.level + module
|
||
else:
|
||
full_module = '.' * node.level
|
||
for alias in node.names:
|
||
if alias.asname:
|
||
parts.append(f'{alias.name} as {alias.asname}')
|
||
else:
|
||
parts.append(alias.name)
|
||
return f'from {full_module} import {", ".join(parts)}'
|
||
|
||
# 提取注释（在生成结果前获取）
|
||
comment: str = ''
|
||
if SourceLines and hasattr(node, 'lineno'):
|
||
LineIdx = node.lineno - 1
|
||
if 0 <= LineIdx < len(SourceLines):
|
||
line = SourceLines[LineIdx]
|
||
CommentMatch: re.Match | None = re.search(r'#.*$', line)
|
||
if CommentMatch:
|
||
comment = ' ' + CommentMatch.group(0)
|
||
|
||
# 检查是否是 from __include import xxx 格式
|
||
if module == '__include':
|
||
for alias in node.names:
|
||
name: str = alias.name
|
||
if name in IncludeAliasMap:
|
||
# 替换为实际模块路径
|
||
RealModule: str = IncludeAliasMap[name]
|
||
if alias.asname:
|
||
parts.append(f'import {RealModule} as {alias.asname}{comment}')
|
||
else:
|
||
parts.append(f'import {RealModule} as {name}{comment}')
|
||
else:
|
||
# 不在映射表中，保持原样
|
||
if alias.asname:
|
||
parts.append(f'from {module} import {name} as {alias.asname}{comment}')
|
||
else:
|
||
parts.append(f'from {module} import {name}{comment}')
|
||
return '\n'.join(parts)
|
||
|
||
# 普通 from ... import ... 语句
|
||
for alias in node.names:
|
||
if alias.asname:
|
||
parts.append(f'{alias.name} as {alias.asname}')
|
||
else:
|
||
parts.append(alias.name)
|
||
return f'from {module} import {", ".join(parts)}{comment}'
|
||
|
||
@staticmethod
|
||
def _GetDecoratorString(decorator: ast.AST) -> str:
|
||
"""获取装饰器字符串"""
|
||
if isinstance(decorator, ast.Name):
|
||
return decorator.id
|
||
elif isinstance(decorator, ast.Attribute):
|
||
if isinstance(decorator.value, ast.Name):
|
||
return f'{decorator.value.id}.{decorator.attr}'
|
||
return decorator.attr
|
||
elif isinstance(decorator, ast.Call):
|
||
# 处理带参数的装饰器，如 @c.Attribute(t.attr.packed)
|
||
FuncStr: str = PythonToStubConverter._GetDecoratorString(decorator.func)
|
||
ArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in decorator.args])
|
||
return f'{FuncStr}({ArgsStr})'
|
||
return ''
|
||
|
||
@staticmethod
|
||
def _GetExprString(expr: ast.AST) -> str:
|
||
"""获取表达式字符串（用于宏调用）"""
|
||
if isinstance(expr, ast.Call):
|
||
# 处理函数调用，如 c.CIf(...), c.CEndif(), c.CUndef(...), c.CPragma(...)
|
||
FuncStr: str = PythonToStubConverter._GetDecoratorString(expr.func)
|
||
if FuncStr and ('CIf' in FuncStr or 'CEndif' in FuncStr or 'CElif' in FuncStr or 'CElse' in FuncStr or 'CUndef' in FuncStr or 'CPragma' in FuncStr):
|
||
ArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in expr.args])
|
||
return f'{FuncStr}({ArgsStr})' if ArgsStr else f'{FuncStr}()'
|
||
return ''
|
||
|
||
@staticmethod
|
||
def _get_if_macro_string(node: ast.If, indent: int = 1) -> str:
|
||
"""获取类内部的 if 宏字符串（如 if c.CIf(...):）"""
|
||
IndentStr: str = ' ' * indent
|
||
InnerIndent: str = ' ' * (indent + 1)
|
||
# 检查条件是否是宏调用
|
||
if isinstance(node.test, ast.Call):
|
||
FuncStr: str = PythonToStubConverter._GetDecoratorString(node.test.func)
|
||
if FuncStr and 'CIf' in FuncStr:
|
||
ArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in node.test.args])
|
||
result: list[str] = [f'{IndentStr}if {FuncStr}({ArgsStr}):' if ArgsStr else f'{IndentStr}if {FuncStr}():']
|
||
# 处理 if 体内的语句
|
||
for item in node.body:
|
||
if isinstance(item, ast.AnnAssign):
|
||
TypeStr: str = PythonToStubConverter._GetTypeString(item.annotation)
|
||
result.append(f'{InnerIndent}{item.target.id}: {TypeStr}')
|
||
elif isinstance(item, ast.Expr):
|
||
ExprStr: str = PythonToStubConverter._GetExprString(item.value)
|
||
if ExprStr:
|
||
result.append(f'{InnerIndent}{ExprStr}')
|
||
return '\n'.join(result)
|
||
return ''
|
||
|
||
@staticmethod
|
||
def _GetModuleIfMacroString(node: ast.If) -> str:
|
||
"""获取模块级别的 if 宏字符串（如 if c.CIf(FF_MULTI_PARTITION):）"""
|
||
return PythonToStubConverter._ProcessIfMacro(node, indent=0)
|
||
|
||
@staticmethod
|
||
def _ProcessIfMacro(node: ast.If, indent: int = 0) -> str:
|
||
"""处理 if 宏节点，支持 elif 和 else"""
|
||
IndentStr: str = ' ' * indent
|
||
|
||
# 检查条件是否是宏调用
|
||
if isinstance(node.test, ast.Call):
|
||
FuncStr: str = PythonToStubConverter._GetDecoratorString(node.test.func)
|
||
if FuncStr and 'CIf' in FuncStr:
|
||
ArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in node.test.args])
|
||
result: list[str] = [f'{IndentStr}if {FuncStr}({ArgsStr}):' if ArgsStr else f'{IndentStr}if {FuncStr}():']
|
||
# 处理 if 体内的语句
|
||
for item in node.body:
|
||
result.extend(PythonToStubConverter._ProcessMacroBodyItem(item, indent + 1))
|
||
|
||
# 处理 elif 和 else
|
||
current: ast.If = node
|
||
while current.orelse:
|
||
if len(current.orelse) == 1 and isinstance(current.orelse[0], ast.If):
|
||
# elif 情况
|
||
elif_node: ast.If = current.orelse[0]
|
||
if isinstance(elif_node.test, ast.Call):
|
||
ElifFuncStr: str = PythonToStubConverter._GetDecoratorString(elif_node.test.func)
|
||
if ElifFuncStr and 'CIf' in ElifFuncStr:
|
||
ElifArgsStr: str = ', '.join([PythonToStubConverter._GetTypeString(arg) for arg in elif_node.test.args])
|
||
result.append(f'{IndentStr}elif {ElifFuncStr}({ElifArgsStr}):' if ElifArgsStr else f'{IndentStr}elif {ElifFuncStr}():')
|
||
for item in elif_node.body:
|
||
result.extend(PythonToStubConverter._ProcessMacroBodyItem(item, indent + 1))
|
||
current = elif_node
|
||
continue
|
||
break
|
||
else:
|
||
# else 情况
|
||
result.append(f'{IndentStr}else:')
|
||
for item in current.orelse:
|
||
result.extend(PythonToStubConverter._ProcessMacroBodyItem(item, indent + 1))
|
||
break
|
||
|
||
return '\n'.join(result)
|
||
return ''
|
||
|
||
@staticmethod
|
||
def _ProcessMacroBodyItem(item: ast.AST, indent: int = 0) -> list[str]:
|
||
"""处理宏体内的单个语句"""
|
||
IndentStr: str = ' ' * indent
|
||
result: list[str] = []
|
||
|
||
if isinstance(item, ast.ClassDef):
|
||
class_stub: list[str] = PythonToStubConverter._ConvertClass(item)
|
||
for line in class_stub:
|
||
if line.strip():
|
||
result.append(f'{IndentStr}{line}')
|
||
else:
|
||
result.append(line)
|
||
elif isinstance(item, ast.FunctionDef):
|
||
FuncStub: list[str] = PythonToStubConverter._ConvertFunction(item, indent=indent)
|
||
result.extend(FuncStub)
|
||
elif isinstance(item, ast.AnnAssign):
|
||
TypeStr: str = PythonToStubConverter._GetTypeString(item.annotation)
|
||
result.append(f'{IndentStr}{item.target.id}: {TypeStr}')
|
||
elif isinstance(item, ast.Expr):
|
||
ExprStr: str = PythonToStubConverter._GetExprString(item.value)
|
||
if ExprStr:
|
||
result.append(f'{IndentStr}{ExprStr}')
|
||
elif isinstance(item, ast.If):
|
||
# 处理嵌套的 if 宏
|
||
NestedIf: str = PythonToStubConverter._ProcessIfMacro(item, indent=indent)
|
||
if NestedIf:
|
||
result.append(NestedIf)
|
||
|
||
return result |