将数组结构的组件作为Python

Question

预期的结果：

this Code重写似乎是json行

json line

构建数据文件到CSV，其中所述的列：

import json
import csv

# Assumptions:
# 1. "Account ID", "AccountName", and "Tags" are keys in every JSON object.
# 2. "Tags" keys are unknown.
# 3. Input file can be completely loaded into memory in order to collect
#    other column names from "Tags".

with open('input.jsonl') as file:
    columns = ['Account ID', 'AccountName']
    records = []
    for line in file:
        data = json.loads(line)
        for d in data['Tags'].copy():  # original data is modified with new columns.
            key, value = d['Key'], d['Value']
            data[key] = value
            if key not in columns:
                columns.append(key)  # collect "Tag" keys.
        del data['Tags']
        records.append(data)

with open('output.csv', 'w', encoding='ascii', newline='') as file:
    writer = csv.DictWriter(file, fieldnames=columns)
    writer.writeheader()
    writer.writerows(records)

Answer 1

output.csv：

Account ID,AccountName,AppGroupEmail,SNOW,ClientID,BuildTicket,AccountType
101356,Account1,testteam,TASK21002089571,220001,,
101357,Account2,,,220007,TM21001412480,Dev

在Excel中开放：