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111 lines
3.2 KiB
111 lines
3.2 KiB
# coding=utf-8
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import hashlib
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import os
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from pathlib import Path
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import re
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from .logger_utils import create_logger
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import json
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from typing import Any, Union
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from datetime import datetime
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def parse_nested_json(
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json_str: str,
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default: Any = None,
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recursive: bool = True
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) -> Union[dict, list, Any]:
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"""
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解析多层嵌套的JSON字符串
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:param json_str: 要解析的JSON字符串
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:param default: 解析失败时返回的默认值
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:param recursive: 是否递归解析嵌套的JSON字符串
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:return: 解析后的Python对象
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"""
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def _parse(obj: Any) -> Any:
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# 递归解析嵌套结构
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if isinstance(obj, dict):
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return {k: _parse(v) for k, v in obj.items()}
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elif isinstance(obj, list):
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return [_parse(elem) for elem in obj]
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elif recursive and isinstance(obj, str):
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try:
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parsed = json.loads(obj)
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return _parse(parsed) # 递归解析新对象
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except json.JSONDecodeError:
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return obj
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else:
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return obj
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# 处理空输入
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if not json_str:
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return default if default is not None else {}
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try:
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# 首次解析外层JSON
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parsed = json.loads(json_str)
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# 递归处理嵌套结构
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return _parse(parsed)
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except (TypeError, json.JSONDecodeError) as e:
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# 处理解码错误和类型错误
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return default if default is not None else {}
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except Exception as e:
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# 其他异常处理（可选记录日志）
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return default if default is not None else {}
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def convert_timestamp(timestamp):
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"""
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自动识别时间戳是秒级还是毫秒级，并转换为 datetime 对象。
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参数:
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timestamp -- 时间戳（整数或浮点数）
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返回:
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datetime 对象
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"""
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# 如果时间戳大于 1e10，认为是毫秒级时间戳
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if timestamp > 1e10:
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timestamp /= 1000.0 # 转换为秒级时间戳
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return datetime.fromtimestamp(timestamp)
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def make_sha256_hash(file_path: str) -> str:
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"""
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计算文件的哈希值
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:param file_path: 文件路径
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:return: 哈希值的十六进制字符串
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"""
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hash_obj = hashlib.new("sha256")
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with open(file_path, "rb") as f:
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while chunk := f.read(8192): # 分块读取避免大文件内存溢出
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hash_obj.update(chunk)
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return hash_obj.hexdigest()
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def css_to_dict(css_line):
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"""
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将单行CSS变量声明转换为Python字典
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参数:
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css_line (str): 包含CSS变量声明的字符串，例如：
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'--ds-button-color: #fff; -button-text-color: #4c4c4c; button-border-color: rgba(0, 0, 0, 0.12);'
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返回:
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dict: 包含CSS变量名和值的字典
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"""
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# 使用正则表达式匹配所有变量声明
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# 匹配格式：可能带有1-2个横线的变量名，然后是冒号和值
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pattern = r'(-{0,2}[a-zA-Z0-9-]+)\s*:\s*([^;]+);?'
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matches = re.findall(pattern, css_line)
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# 将匹配结果转换为字典
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result = {}
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for match in matches:
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var_name = match[0] # 保留原始横线数量
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var_value = match[1].strip()
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result[var_name] = var_value
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return result
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