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合并多个JSON文件,并解析为CSV

csv json

mleafer · 技术社区 · 5 年前

我有大约100个JSON文件,所有文件的标题都是不同的日期,我需要将它们合并成一个CSV文件,标题是“日期”、“真实姓名”、“文本”。

JSON本身没有列出日期,并且真实的名称是嵌套的。我已经有一段时间没有使用JSON了,有点不知所措。

JSON的基本结构大致如下:

文件名:2021-01-18。json

[
    {
        "client_msg_id": "xxxx",
        "type": "message",
        "text": "THIS IS THE TEXT I WANT TO PULL",
        "user": "XXX",
        "user_profile": {
            "first_name": "XXX",
            "real_name": "THIS IS THE NAME I WANT TO PULL",
            "display_name": "XXX",
            "is_restricted": false,
            "is_ultra_restricted": false
        },
        "blocks": [
            {
                "type": "rich_text",
                "block_id": "yf=A9",
            }
        ]
    }
]

到目前为止我有

import glob 
read_files = glob.glob("*.json")
output_list = []
all_items = []

for f in read_files:
    with open(f, "rb") as infile:
        output_list.append(json.load(infile))
    data = {}
    for obj in output_list[]
        data['date'] = f
        data['text'] = 'text'
        data['real_name'] = 'real_name'
        all_items.append(data)

0 回复 | 直到 5 年前

Mark Tolonen 5 年前

读取JSON对象后,只需将数据索引到字典中即可。你可能需要 obj[0]['text'] 等等,如果你的JSON数据真的在每个文件的列表中,但这似乎很奇怪,我假设你的数据是从 output_list 在你收集数据之后。因此,假设您的文件内容如下所示:

{
    "client_msg_id": "xxxx",
    "type": "message",
    "text": "THIS IS THE TEXT I WANT TO PULL",
    "user": "XXX",
    "user_profile": {
        "first_name": "XXX",
        "real_name": "THIS IS THE NAME I WANT TO PULL",
        "display_name": "XXX",
        "is_restricted": false,
        "is_ultra_restricted": false
    },
    "blocks": [
        {
            "type": "rich_text",
            "block_id": "yf=A9",
        }
    ]
}

测验py:

import json
import glob 
from pathlib import Path

read_files = glob.glob("*.json")
output_list = []
all_items = []
for f in read_files:
    with open(f, "rb") as infile:
        output_list.append(json.load(infile))
    data = {}
    for obj in output_list:
        data['date'] = Path(f).stem
        data['text'] = obj['text']
        data['real_name'] = obj['user_profile']['real_name']
        all_items.append(data)
print(all_items)

输出:

[{'date': '2021-01-18', 'text': 'THIS IS THE TEXT I WANT TO PULL', 'real_name': 'THIS IS THE NAME I WANT TO PULL'}]