Python迭代工具案例如何封装版本迭代

wen python案例 2026-06-28 251

本文目录导读：

基础迭代器封装示例
版本迭代管理类
复杂迭代器封装
实际应用案例
高级特性实现
测试和验证

我来详细说明Python迭代工具（itertools）的封装方法,以及如何实现版本迭代管理。

基础迭代器封装示例

from itertools import chain, cycle, permutations, combinations
from typing import Iterator, List, Any
class ItertoolsWrapper:
    """itertools功能封装"""
    def __init__(self, data: List[Any] = None):
        self.data = data or []
    def chained(self, *iterables) -> Iterator:
        """链式连接多个迭代器"""
        return chain(*iterables)
    def cycled(self, times: int = None) -> Iterator:
        """循环迭代，可选择次数"""
        if times:
            return (x for _ in range(times) for x in cycle(self.data))
        return cycle(self.data)
    def all_permutations(self, r: int = None) -> Iterator:
        """获取所有排列"""
        return permutations(self.data, r)
    def all_combinations(self, r: int) -> Iterator:
        """获取所有组合"""
        return combinations(self.data, r)

版本迭代管理类

from itertools import cycle, count
from typing import Tuple, Generator
class VersionIterator:
    """版本迭代器管理"""
    def __init__(self, major: int = 1, minor: int = 0, patch: int = 0):
        self.version = [major, minor, patch]
        self.version_types = ['major', 'minor', 'patch']
    def increment(self, version_type: str = 'patch') -> Tuple[int, int, int]:
        """递增版本号"""
        idx = self.version_types.index(version_type)
        self.version[idx] += 1
        # 重置更小的版本号
        for i in range(idx + 1, len(self.version)):
            self.version[i] = 0
        return tuple(self.version)
    def generate_versions(self) -> Generator:
        """生成器方式产生版本号"""
        while True:
            yield tuple(self.version)
            self.version[2] += 1  # 默认递增patch
            if self.version[2] == 10:  # patch达到10后升minor
                self.version[1] += 1
                self.version[2] = 0
            if self.version[1] == 10:  # minor达到10后升major
                self.version[0] += 1
                self.version[1] = 0
class VersionHistory:
    """版本历史管理器"""
    def __init__(self):
        self.history = []
        self.current_version = None
    def add_version(self, version: Tuple[int, int, int], 
                    features: List[str] = None):
        """添加版本记录"""
        self.current_version = version
        self.history.append({
            'version': '.'.join(map(str, version)),
            'features': features or [],
            'changelog': f"Version {'.'.join(map(str, version))}"
        })
    def get_version(self, version_str: str) -> dict:
        """获取特定版本信息"""
        for v in self.history:
            if v['version'] == version_str:
                return v
        return None
    def diff_versions(self, v1: str, v2: str) -> dict:
        """比较两个版本的差异"""
        ver1 = self.get_version(v1)
        ver2 = self.get_version(v2)
        if ver1 and ver2:
            return {
                'added': set(ver2['features']) - set(ver1['features']),
                'removed': set(ver1['features']) - set(ver2['features'])
            }
        return None

复杂迭代器封装

from itertools import product, groupby, islice, filterfalse, takewhile, dropwhile
from functools import partial
from typing import Callable, Dict
class AdvancedIterator:
    """高级迭代器封装"""
    def __init__(self):
        self._operations = []
    def pipe(self, func: Callable, *args, **kwargs):
        """链式管道操作"""
        self._operations.append(partial(func, *args, **kwargs))
        return self
    def process(self, data: List) -> List:
        """执行管道操作"""
        result = data
        for op in self._operations:
            result = list(op(result))
        return result
    @staticmethod
    def batch_process(data: List, batch_size: int = 100) -> Generator:
        """批量处理数据"""
        it = iter(data)
        while True:
            batch = list(islice(it, batch_size))
            if not batch:
                break
            yield batch
class IteratorFactory:
    """迭代器工厂模式"""
    _iterators = {
        'cycle': cycle,
        'count': count,
        'chain': chain,
        'product': product,
        'groupby': groupby
    }
    @classmethod
    def create_iterator(cls, name: str, *args, **kwargs):
        """创建指定类型的迭代器"""
        if name not in cls._iterators:
            raise ValueError(f"Unsupported iterator type: {name}")
        return cls._iterators[name](*args, **kwargs)
    @classmethod
    def register(cls, name: str, iterator_class):
        """注册新的迭代器类型"""
        cls._iterators[name] = iterator_class

实际应用案例

# 示例：数据版本迭代处理
class DataVersionProcessor:
    """数据版本处理器"""
    def __init__(self, data: List[Dict]):
        self.data = data
        self.version_mgr = VersionIterator()
        self.version_history = VersionHistory()
    def process_with_version(self, transformation: Callable) -> Dict:
        """带版本控制的数据处理"""
        # 获取当前版本
        version = self.version_mgr.increment('minor')
        # 应用转换
        processed_data = list(map(transformation, self.data))
        # 记录版本历史
        self.version_history.add_version(
            version,
            features=[f"Applied {transformation.__name__}"]
        )
        return {
            'version': '.'.join(map(str, version)),
            'data': processed_data,
            'changelog': self.version_history.history[-1]['changelog']
        }
# 使用示例
if __name__ == "__main__":
    # 创建版本迭代器
    ver_iter = VersionIterator()
    print("Version generation:")
    for i in range(5):
        print(f"  {ver_iter.increment()}")
    # 创建迭代器包装器
    wrapper = ItertoolsWrapper([1, 2, 3])
    print("\nCombinations:", list(wrapper.all_combinations(2)))
    # 高级迭代器使用
    adv_iter = AdvancedIterator()
    result = adv_iter.pipe(filter, lambda x: x > 0)\
                     .pipe(sorted, reverse=True)\
                     .process([3, -1, 2, 5, -3, 1])
    print("\nFiltered and sorted:", result)
    # 数据版本处理
    processor = DataVersionProcessor([
        {'name': 'item1', 'value': 10},
        {'name': 'item2', 'value': 20}
    ])
    result = processor.process_with_version(
        lambda x: {**x, 'value': x['value'] * 2}
    )
    print("\nProcessed with version:", result)

高级特性实现

from itertools import tee, accumulate, compress, dropwhile, zip_longest
import asyncio
from typing import AsyncIterator
class AsyncVersionIterator:
    """异步版本迭代器"""
    def __init__(self, versions: List[Tuple[int, int, int]]):
        self.versions = versions
    async def __aiter__(self):
        self._index = 0
        return self
    async def __anext__(self):
        if self._index >= len(self.versions):
            raise StopAsyncIteration
        version = self.versions[self._index]
        self._index += 1
        await asyncio.sleep(0.1)  # 模拟异步操作
        return version
class IteratorChain:
    """迭代器链，支持复杂操作"""
    def __init__(self):
        self._iterators = []
        self._processors = []
    def add_source(self, iterator):
        """添加数据源"""
        self._iterators.append(iterator)
        return self
    def add_processor(self, func):
        """添加处理器"""
        self._processors.append(func)
        return self
    def execute(self):
        """执行迭代器链"""
        current = chain(*self._iterators)
        for processor in self._processors:
            current = processor(current)
        return current

测试和验证

import unittest
class TestIteratorTools(unittest.TestCase):
    """迭代器工具测试"""
    def setUp(self):
        self.wrapper = ItertoolsWrapper([1, 2, 3])
        self.version_mgr = VersionIterator()
    def test_version_increment(self):
        """测试版本递增"""
        versions = []
        for _ in range(5):
            versions.append(self.version_mgr.increment())
        self.assertEqual(len(versions), 5)
        self.assertEqual(versions[-1], (1, 0, 5))
    def test_combinations(self):
        """测试组合"""
        combs = list(self.wrapper.all_combinations(2))
        self.assertEqual(len(combs), 3)
        self.assertIn((1, 2), combs)
    def test_pipeline(self):
        """测试管道操作"""
        adv = AdvancedIterator()
        result = adv.pipe(lambda x: [i*2 for i in x]).process([1,2,3])
        self.assertEqual(result, [2, 4, 6])
if __name__ == "__main__":
    unittest.main()

这个封装方案提供了：