如何反转字典结构：以Zendesk缺失翻译区域为键、文章ID为值

我正在使用Zendesk API生成包含文章缺失翻译信息的CSV文件。目前的流程是遍历文章ID列表构建API的GET请求：

article_ids = [001, 002, 003]

def get_missing_translations_per_article(id):
    url = base_url + f"/api/v2/help_center/articles/{id}/translations/missing"
    response = requests.get(url, auth = (user, pwd))
    json = response.json()

for id in article_ids:
    get_missing_translations_per_article(id)

API返回的响应是对应文章ID的缺失区域列表：

{
    "locales": [
        "fr",
        "es",
        "de"   
    ],
    "default_locale": "en"
}

基于这些数据，我创建了以文章ID为键、缺失区域列表为值的字典：

base_dict = {"001":["locale1","locale2","locale3"], "002":["locale1","locale2","locale3"]}

为了让CSV对翻译人员更实用，我需要反转字典结构：以区域为键，值为该区域缺失翻译的文章ID列表，最终效果如下：

final_dict = {"locale1":["id1","id2","id3"], "locale2":["id1","id2","id3"]}

手动适配50+个区域效率极低，求高效实现方法。

解决方案 #

方法1：使用collections.defaultdict（简洁高效） #

借助collections模块的defaultdict可以自动初始化列表类型的值，无需手动判断键是否存在：

from collections import defaultdict

base_dict = {"001":["locale1","locale2","locale3"], "002":["locale1","locale2","locale3"]}
final_dict = defaultdict(list)

# 遍历原字典，反转键值关系
for article_id, missing_locales in base_dict.items():
    for locale in missing_locales:
        final_dict[locale].append(article_id)

# 可选：将defaultdict转换为普通字典
final_dict = dict(final_dict)

方法2：使用普通字典（无需额外模块） #

如果不想引入外部模块，用基础字典操作也能实现：

base_dict = {"001":["locale1","locale2","locale3"], "002":["locale1","locale2","locale3"]}
final_dict = {}

for article_id, missing_locales in base_dict.items():
    for locale in missing_locales:
        # 若区域不在字典中，先初始化空列表
        if locale not in final_dict:
            final_dict[locale] = []
        final_dict[locale].append(article_id)

生成实用的CSV文件 #

拿到反转后的final_dict后，可通过csv模块生成翻译人员易读的CSV，推荐两种格式：

格式1：每行一条缺失记录（便于筛选排序）

import csv

with open('missing_translations.csv', 'w', newline='', encoding='utf-8') as f:
    writer = csv.writer(f)
    writer.writerow(['区域', '缺失翻译的文章ID'])
    for locale, article_ids in final_dict.items():
        for article_id in article_ids:
            writer.writerow([locale, article_id])

格式2：按区域分组展示（汇总视角）

import csv

with open('missing_translations_grouped.csv', 'w', newline='', encoding='utf-8') as f:
    writer = csv.writer(f)
    writer.writerow(['区域', '缺失翻译的文章ID列表'])
    for locale, article_ids in final_dict.items():
        writer.writerow([locale, ', '.join(article_ids)])

内容的提问来源于stack exchange，提问作者Jelz