合並多個JSON文件，解析成CSV

Question

我有大約 100 個 JSON 文件，所有文件的標題都不同，我需要將它們合並到一個 CSV 文件中，該文件具有標題“日期”、“實名”、“文本”。

JSON 本身沒有列出日期，並且 real_name 是嵌套的。 我有一段時間沒有使用 JSON 了，有點迷失了。

JSON 的基本結構看起來或多或少是這樣的：

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",
            }
        ]
    }
]

到目前為止我有

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)

Answer 1

閱讀 JSON object 后，只需索引數據字典即可。 如果您的 JSON 數據確實在每個文件的列表中，您可能需要obj[0]['text']等，但這看起來很奇怪，我假設您的數據是在您收集后從output_list粘貼的數據。 因此，假設您的文件內容完全如下：

{
    "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",
        }
    ]
}

測試.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)

Output：

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