Andre_k
Reputation: 1740
Error while loading json in Python
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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[{"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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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
Upvotes: 0
Views: 225
Answers (1)
GuangshengZuo
Reputation: 4687
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
Upvotes: 1
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