Question

我是第一次在python中解析JSON，所以无法弄清楚获取数据的正确方法。我正在访问python中名为“table1”的sql表中的JSON数据解析数据并将这些记录更新回“ table1 ”。所以这是我的sql表

ID   JSON            Street_Numb   Street_Name   Route   sublocality   Country   ...
12  <json_objects>   NA            NA            NA      NA            NA   ...
40  <json_objects>   NA            NA            NA      NA            NA   ...
30  <json_objects>   NA            NA            NA      NA            NA   ...

在上表中，实际的JSON数据无法累积，因此我将在下面单独粘贴 JSON

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 {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, 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 {"results":[{"address_components":[{"long_name":"Canal Road","short_name":"Canal Rd","types":["route"]},{"long_name":"Empress Garden View Society","short_name":"Empress Garden View Society","types":["political","sublocality","sublocality_level_3"]},{"long_name":"Uday Baug","short_name":"Uday Baug","types":["political","sublocality","sublocality_level_2"]},{"long_name":"Ghorpadi","short_name":"Ghorpadi","types":["political","sublocality","sublocality_level_1"]},{"long_name":"Pune","short_name":"Pune","types":["locality","political"]},{"long_name":"Pune","short_name":"Pune","types":["administrative_area_level_2","political"]},{"long_name":"Maharashtra","short_name":"MH","types":["administrative_area_level_1","political"]},{"long_name":"India","short_name":"IN","types":["country","political"]},{"long_name":"411001","short_name":"411001","types":["postal_code"]}],"formatted_address":"Canal Rd, Empress Garden View Society, Uday Baug, Ghorpadi, Pune, Maharashtra 411001, 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因此，对于表中值 NA 的列，我希望它们通过从每个记录中提取JSON对象来填充。

所以这是我试过的代码，

import pyodbc
import json
import numpy as np
import pandas as pd
cnxn = pyodbc.connect('DRIVER={SQL Server};SERVER=myServer;DATABASE=temp;UID=ADMIN;PWD=abc@123;autocommit=True')
cursor = cnxn.cursor()
cursor.execute("select TOP 3 ID, JSON from table1 where JSON is NOT NULL AND Country is NULL")

ID=[]
JSON=[]

for row in cursor.fetchall():
     ID.append(row[0]) 
     JSON.append(row[1])
    jsonData = jsonResponse["data"]
    for item in jsonData:
        Street_Numb = item.get("Street_Numb")[1]  #access only first address component
        Street_Name = item.get("Street_Name")[1] #access only first address component
        Route       = item.get("Route")[1] #access only first address component
        sublocality = item.get("sublocality")[1] #access only first address component
        Country = item.get("Country")[1] #access only first address component



    for i in data:
           cursor.execute("UPDATE table1 SET  Street_Numb = ?, Street_Name=?,Route=?,sublocality=?,Country=?)

因此，对于每个JSON对象，都有多个地址组件，因此我只想访问第一个地址组件。但实际上无法通过这种方式来实现它。

任何建议都会非常有帮助。感谢

Answer 1

因此，对于每个JSON对象，都有多个地址组件，因此我只想访问第一个地址组件。

这是你的第一个挑战。其他挑战是：

地址组件类型在“types”属性中指定为值，因此您无法通过 name 和
某些类型（例如“sublocality”）可能会出现多次。

在for row in cursor.fetchall():循环中，您可以将“ID”和“JSON”列值保存为简单变量，

id = row[0]
json_string = row[1]

您可以将地址组件值提取到列表字典中，然后将列表连接成单个字符串：

address_fields = {
    'street_number': [],
    'route': [],
    'sublocality': [],
    }
json_all = json.loads(json_string)
json_results = json_all['results']
first_address_components = json_results[0]['address_components']
for item in first_address_components:
    for field_key in address_fields.keys():
        if field_key in item['types']:
            address_fields[field_key].append(item['short_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}

pprint(address_fields)

使用pprint（仅用于演示目的）生成

{'route': 'BT Kawde Road',
 'street_number': '16',
 'sublocality': 'Uday Baug, Ghorpadi'}

然后，您可以使用以下代码继续更新表：

sql = """\
UPDATE table1 SET Street_Numb=?, Route=?, sublocality=? WHERE ID=?
"""
params = (
    address_fields['street_number'],
    address_fields['route'],
    address_fields['sublocality'],
    id
    )
crsr.execute(sql, params)

Answer 2

猜测你从数据库中获得了一个合适的json对象。如果没有，您可以转储和加载数据。

dumpData = json.dumps(jsonResponse["data"])
jsonData = json.loads(dumpData)

问题在于循环。

address_components = data['results'][0]["address_components"]
Street_Numb = None
for item in address_components:
  if 'street_number'in item['types']:
    Street_Numb = item.get("long_name")

DEMO

解析Json数据并通过python在sql表中更新

2 个答案: