0

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

Improve this question
2
  • Please include the complete error message. Commented Aug 21, 2017 at 5:17
  • @DYZ updated the post Commented Aug 21, 2017 at 5:19

1 Answer 1

Reset to default
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 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
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26 Comments

I think we are pretty much closer...Just in the sql table of mine the Original column name is "R_GEOCODE_ID" instead of JUST "ID".... so according to your code I replaced " ID[id_index]" with R_GEOCODE_ID[id_index] .. but now it gives error that "R_GEOCODE_ID[id_index] NameError: name 'R_GEOCODE_ID' is not defined"
yes, see your code carefully. ' ID=[] json_string=[] for row in cursor.fetchall(): ID.append(row[0]) json_string.append(row[1]) '
you define an ID, and save the R_GEOCODE_ID in ID. So in your python code, the R_GEOCODE_ID is listed in ID. so you should use ID to get every R_GEOCODE_ID.
Ok..strange but I used the same code of yours "sql = "UPDATE MST_NHB_R_GEOCODE SET Street_Numb=?, Route=?, sublocality=? WHERE ID=?" params = ( address_fields['street_number'], address_fields['route'], address_fields['sublocality'], ID[id_index] )" And it gave error ") File "D:/Deepesh/testForUpdateTableJSON.py", line 45, in <module> cursor.execute(sql, params) ProgrammingError: ('42S22', "[42S22] [Microsoft][ODBC SQL Server Driver][SQL Server]Invalid column name 'ID'. (207) (SQLExecDirectW)")"
And if your db's first column is R_GEOCODE_ID, you should update your sql in your code.
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