我在python中解析JSON但无法找出获取数据的正确方法。 我在python中从sql表中访问名为" table1" 的JSON数据解析数据并在" table1 中更新这些记录&#34 ;. 所以这是我的sql表
R_GEOCODE_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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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_string=[]
for row in cursor.fetchall():
ID.append(row[0])
json_string.append(row[1])
address_fields = {
'intersection': [],
'political': [],
'country': [],
'administrative_area_level_1': [],
'administrative_area_level_2': [],
'administrative_area_level_3': [],
'administrative_area_level_4': [],
'administrative_area_level_5': [],
'colloquial_area': [],
'locality': [],
'ward': [],
'neighborhood': [],
'premise': [],
'subpremise': [],
'natural_feature': [],
'postal_code': [],
'airport': [],
'park': [],
'point_of_interest': [],
'street_address': [],
'street_number': [],
'route': [],
'sublocality': [],
}
dumpData = json.dumps(json_string)
json_all = json.loads(dumpData)
#print(json_all)
#json_all = json.loads(json_string)
id_index = 0
for json_str in json_all:
address_fields = {
'intersection': [],
'political': [],
'country': [],
'administrative_area_level_1': [],
'administrative_area_level_2': [],
'administrative_area_level_3': [],
'administrative_area_level_4': [],
'administrative_area_level_5': [],
'colloquial_area': [],
'locality': [],
'ward': [],
'neighborhood': [],
'premise': [],
'subpremise': [],
'natural_feature': [],
'postal_code': [],
'airport': [],
'park': [],
'point_of_interest': [],
'street_address': [],
'street_number': [],
'route': [],
'sublocality': [],
}
json_results = json.loads(json_str)
if not json_results or not json_results[0].get('address_components'):
id_index = id_index + 1
continue
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['long_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}
sql = "UPDATE MST_NHB_R_GEOCODE SET intersection=?, political=?, country=?, administrative_area_level_1=?, administrative_area_level_2=?, administrative_area_level_3=?, administrative_area_level_4=?, administrative_area_level_5=?, colloquial_area=?, locality=?, ward=?, neighborhood=?, premise=?, subpremise=?, postal_code=?, natural_feature=?, airport=?, park=?, point_of_interest=?, street_address=?, Street_Number=?, Route=?, sublocality=? WHERE R_GEOCODE_ID=?"
params = (
address_fields['intersection'],
address_fields['political'],
address_fields['country'],
address_fields['administrative_area_level_1'],
address_fields['administrative_area_level_2'],
address_fields['administrative_area_level_3'],
address_fields['administrative_area_level_4'],
address_fields['administrative_area_level_5'],
address_fields['colloquial_area'],
address_fields['locality'],
address_fields['ward'],
address_fields['neighborhood'],
address_fields['premise'],
address_fields['subpremise'],
address_fields['postal_code'],
address_fields['natural_feature'],
address_fields['airport'],
address_fields['park'],
address_fields['point_of_interest'],
address_fields['street_address'],
address_fields['street_number'],
address_fields['route'],
address_fields['sublocality'],
ID[id_index]
)
cursor.execute(sql, params)
id_index = id_index + 1
cnxn.commit()
cursor.close()
cnxn.close()
但是这段代码给了我错误
File "D:/Deepesh/testForUpdateTableJSON.py", line 34, in <module>
address_fields[field_key].append(item['long_name'])
AttributeError: 'str' object has no attribute 'append'
有关代码出错的任何建议。
由于
答案 0 :(得分:1)
我发现你这样做了:
for row in cursor.fetchall():
ID.append(row[0])
json_string.append(row[1])
dumpData = json.dumps(json_string)
json_all = json.loads(dumpData)
注意dumpData是两级json。你看到json_string是一个json数组。所以当你得到json_all [0]时,它实际上也是一个json。所以它抱怨TypeError:字符串索引必须是整数。你应该先做负荷。
我认为您应该为每一行执行更新sql,然后您应该在for循环中包含更新。
像这样解决:
id_index = 0
for json_str in json_all:
address_fields = {
'street_number': [],
'route': [],
'sublocality': [],
}
json_results = json.loads(json_str)
if isinstance(json_results,dict):
first_address_components = json_results['results'][0]['address_components']
else:
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['long_name'])
# convert lists to single strings
address_fields = {key: ', '.join(values) for key, values in address_fields.items()}
sql = "UPDATE MST_NHB_R_GEOCODE SET Street_Numb=?, Route=?, sublocality=? WHERE R_GEOCODE_ID=?"
params = (
address_fields['street_number'],
address_fields['route'],
address_fields['sublocality'],
ID[id_index]
)
cursor.execute(sql, params)
id_index = id_index + 1