Python CSV 到 JSON 引用嵌套对象

Question

我正在使用以下内容将 CSV 文件转换为 JSON。 问题是，任何嵌套的对象都会被引用。 我该如何解决这个问题，以便我可以将 output 传递给端点？

def csvToJson(tokenHeader):
data = []
with open('CSV/quiz-questions.csv') as questionFile:
    csv.field_size_limit(sys.maxsize)
    csvReader = csv.DictReader(questionFile)
    for row in csvReader:
        row = {key: (None if value == "" else value) for key, value in row.items()}
        row = {key: ([] if value == "[]" else value) for key, value in row.items()}
        data.append(json.dumps(row, indent=4, ensure_ascii=False))

Output 代码段：

"question": "{'guid': ...

Answer 1

您可以使用此 function 将 csv 读入具有列的字典列表：值结构：

import csv

def open_csv(path):
    '''return a list of dictionaries
    '''
    with open(path, 'r') as file:
        reader = csv.DictReader(file)
        # simple way to do the replacements, but do you really need to do this?
        return [{k: [] if v == '[]' else v or None
                 for k, v in dict(row).items()}
                for row in reader]

data = open_csv('test.txt')

# output to json because it looks better, null is None
import json
print(json.dumps(data, indent=4))

测试.csv

name,age,hobby,countries
foo,31,,"['123', 'abc']"
bar,60,python programming,[]

Output：

[
    {
        "name": "foo",
        "age": "31",
        "hobby": null,
        "countries": "['123', 'abc']"
    },
    {
        "name": "bar",
        "age": "60",
        "hobby": "python programming",
        "countries": []
    }
]

Answer 2

我通过处理写作方面的事情来解决这个问题。 将我的问题传递给 CSV 时，我正在使用嵌套对象创建字典。 从 CSV 读取时，这会引起头痛。 所以现在我用这条线来修复我的嵌套对象：

question = {key: (json.dumps(value) if key in ['question', etc. etc.] else value) for key, value in question.items()}