Error while loading json in Python

251
August 21, 2017, at 4:14 PM

I'm parsing JSON in python but couldn't figure out the correct way to get the data. I'm accessing JSON data from sql table called "table1" in python Parsing the data and updating those records back in "table1". So this is my sql table

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   ...

In above table the actual JSON data could not be accumulated so I'm pasting it separately below JSON

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So for those column in table whose values are NA I wanted them to fill up by extracting the JSON objects from each records.

So here's a code I tried,

         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()

But this code is giving me error

 File "D:/Deepesh/testForUpdateTableJSON.py", line 34, in <module>
    address_fields[field_key].append(item['long_name'])
AttributeError: 'str' object has no attribute 'append'

Any suggestions on where the code is getting wrong .

Thanks

Answer 1

I found you do this:

for row in cursor.fetchall():
   ID.append(row[0]) 
   json_string.append(row[1])
dumpData = json.dumps(json_string)
json_all = json.loads(dumpData)

Notice the dumpData is two level json. you see that the json_string is an array of json. so when you get the json_all[0], it is actually also a json. So It complain that TypeError: string indices must be integers. you should do loads first.

I think you should do the update sql for every row, Then you should include update in your for loop.

fix like this :

 id_index = 0
 for json_str in json_all:
     address_fields = {
      '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 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
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