获取特定的 protobuf 成员

Question

我想获取以text: 开头的所有行的数组（直到第一个asset_performance_label）

我看到了这个post，但不知道如何应用它。

我应该像我尝试过的那样将 proto 转换为字符串吗？

    text = extract_text_from_proto(r"(\w+)text:(\w+)asset_performance_label:", '''[pinned_field: HEADLINE_1
    text: "5 Best Products"
    asset_performance_label: PENDING
    policy_summary_info
    {
        review_status: REVIEWED
        approval_status: APPROVED
    }
    , pinned_field: HEADLINE_1
    text: "10 Best Products 2021"
    asset_performance_label: PENDING
    policy_summary_info
    {
        review_status: REVIEWED
        approval_status: APPROVED
    }''')


def extract_text_from_proto(regex, proto_string):
    regex = re.escape(regex)
    result_array = [m.group() for m in re.finditer(regex, proto_string)]
    return result_array
    # return [extract_text(each_item, regex) for each_item in proto],


def extract_text(regex, item):
    m = re.match(regex, str(item))
    if m is None:
        # text = "MISSING TEXT"
        raise Exception("Ad is missing text")
    else:
        text = m.group(2)
    return text

预期结果：["5 Best Products","10 Best Products 2021"]

如果我想匹配（可选）pinned_field: (word) 怎么办？所以结果可能是：[HEADLINE_1: 5 Best Products', 'HEADLINE_1:10 Best Products 2021', 'some_text_without_pinned_field']` ?

Answer 1

您可以使用单个捕获组，并在下一行匹配 assert_performance_label。使用 re.findall 返回组值。

\btext:\s*"([^"]+)"\n\s*asset_performance_label\b

模式匹配

• \btext:\s*" 匹配 text: 前面的单词边界 \b 以防止部分匹配
• ([^"]+) 捕获第 1 组，匹配除双引号以外的 1+ 个字符
• "\n\s* 匹配换行符和可选的空白字符
• asset_performance_label\b 匹配 `asset_performance_label 后跟单词边界

例如

import re

def extract_text_from_proto(regex, proto_string):
    return re.findall(regex, proto_string)

text = extract_text_from_proto(r'\btext:\s*"([^"]+)"\n\s*asset_performance_label\b', '''[pinned_field: HEADLINE_1
    text: "5 Best Products"
    asset_performance_label: PENDING
    policy_summary_info
    {
        review_status: REVIEWED
        approval_status: APPROVED
    }
    , pinned_field: HEADLINE_1
    text: "10 Best Products 2021"
    asset_performance_label: PENDING
    policy_summary_info
    {
        review_status: REVIEWED
        approval_status: APPROVED
    }''')


print(text)

输出

['5 Best Products', '10 Best Products 2021']