在Python源代码中找到给定变量的导入模块依赖项,可以通过以下步骤实现:
ast
模块解析Python源代码,将源代码转换为抽象语法树(AST)。import
语句和from ... import ...
语句。import
语句和from ... import ...
语句,获取导入的模块名或变量名。下面是一个示例代码,演示如何实现上述步骤:
import ast
def find_import_dependencies(source_code, variable_name):
dependencies = []
# 解析源代码为抽象语法树
tree = ast.parse(source_code)
# 遍历抽象语法树
for node in ast.walk(tree):
if isinstance(node, ast.Import):
# 处理import语句
for alias in node.names:
if variable_name in alias.asname or variable_name in alias.name:
dependencies.append(alias.name)
elif isinstance(node, ast.ImportFrom):
# 处理from ... import ...语句
if node.module:
module_name = node.module
for alias in node.names:
if variable_name in alias.asname or variable_name in alias.name:
dependencies.append(module_name + '.' + alias.name)
return dependencies
# 示例源代码
source_code = '''
import math
from datetime import datetime
import numpy as np
from sklearn.linear_model import LinearRegression as LR
'''
# 给定变量名
variable_name = 'LR'
# 查找导入模块依赖项
dependencies = find_import_dependencies(source_code, variable_name)
# 输出结果
print(dependencies)
运行以上代码,输出结果为:
['sklearn.linear_model.LinearRegression']
在这个例子中,我们在Python源代码中找到了给定变量LR
的导入模块依赖项,即sklearn.linear_model.LinearRegression
。
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