在Python中加载json时出错

时间:2017-08-21 05:15:54

标签: python sql json spyder pyodbc

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

1 个答案:

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