python - 如何在 Python 中使用多个键解析和排序 JSON

Question

实际上是用 JSON 进行训练，试图了解如何使用两个不同的键解析新的 JSON。我想对一些日志进行排序以实现数据可视化目的。

我的数据 JSON

{
            "productTitle": "Product",
            "apiName": "soapwebservice"
            "statusCode": "200 OK"
},
{
            "productTitle": "Product",
            "apiName": "productionservice",
            "statusCode": "200 OK"
},
{
            "productTitle": "Product",
            "apiName": "firstapi",
            "statusCode": "200 OK"
},          
{
            "productTitle": "Product",
            "apiName": "firstapi",
            "statusCode": "200 OK"
}, 
{
            "productTitle": "Suitability",
            "apiName": "suitability-api",
            "statusCode": "200 OK"
}

预期的输出 JSON:

{
    "Product": 4,
    "api-activity": {
         "soapwebservice": 1,
         "productionservice": 1,
         "firstapi": 2
    }
}
{
    "Suitability": 1,
    "api-activity": {
         "suitability-api": 1,
    }
}

这是我第一个解析和计算第一个键的代码:

import json
from collections import Counter

with open('events1.json') as json_data:
    json_obj = json.load(json_data) # Read the JSON file

    # print(json_obj['calls'][0]['appName']); #Example JSON Extract
    c = Counter(player['productTitle'] for player in json_obj['calls'])

with open('output.json', 'w') as f:
    f.write(json.dumps(c, indent=4)) # Parse and write the file

print("Translation of JSON");

我正在寻找一种获取预期 JSON 的方法，可能使用此处解释的循环:parse JSON values by multilevel keys 但是我无法按预期获取JSON，你有什么想法吗？

Answer 1

使用itertools.groupby()按所需属性对元素进行分组。首先按产品标题分组，然后在每个结果组中再次对元素进行分组，但现在按 api 名称分组。所需的计数器只是每个结果组中元素的数量:

import itertools
import json

def by_product_title(data):
    return data['productTitle']

def by_api_name(data):
    return data['apiName']

json_str = '''
[
    {
        "productTitle": "Product",
        "apiName": "soapwebservice",
        "statusCode": "200 OK"
    },
    {
        "productTitle": "Product",
        "apiName": "productionservice",
        "statusCode": "200 OK"
    },
    ...
]
'''

data = json.loads(json_str)
grouped_by_product_title = itertools.groupby(sorted(data, key=by_product_title), by_product_title)
for product, group in grouped_by_product_title:
    elements = list(group)
    grouped_by_api_name = itertools.groupby(sorted(elements, key=by_api_name), by_api_name)
    api_activity = {key: len(list(val)) for key, val in grouped_by_api_name}
    output = {product: len(elements), 'api-activity': api_activity}
    json_output = json.dumps(output, sort_keys=True, indent=4)
    print(json_output)

输出:

{
    "Product": 4,
    "api-activity": {
        "firstapi": 2,
        "productionservice": 1,
        "soapwebservice": 1
    }
}
{
    "Suitability": 1,
    "api-activity": {
        "suitability-api": 1
    }
}