There is JSON and a Python script.
Which displays a list of Companies on the screen.
How to display all Regions for Company[id] ?
{
"data": [
{
"id": 1,
"attributes": {
"name": "Company1",
"regions": {
"data": [
{
"id": 1,
"attributes": {
"name": "Region 1",
}
},
{
"id": 2,
"attributes": {
"name": "Region 2",
}
},
]
}
}
},
{
"id": 2,
"attributes": {
"name": "Company2",
"regions": {
"data": [
{
"id": 1,
"attributes": {
"name": "Region 1",
}
},
{
"id": 2,
"attributes": {
"name": "Region 2",
}
}
]
}
}
},
],
}
Script for all companies.
import os
import json
import requests
BASE_URL = 'localhost'
res = requests.get(BASE_URL)
res_content = json.loads(res.content)
for holding in res_content['data']:
print(holding['id'], holding['attributes']['name'])
How to do the same for displaying the Region for Company[id] ?
Example: Display all Regions for Company 1
Iterate through a list of dictionaries, looking for a dictionary with the key 'name' that has the value 'Company1'. Once it finds that dictionary, it iterates through the list of dictionaries stored under the key 'regions' and prints the value of the key 'name' for each dictionary in that list.
You can try this:
for company in res_content['data']:
if company['attributes']['name'] == 'Company1':
for region in company['attributes']['regions']['data']:
print(region['attributes']['name'])
You just need to delve further down into the res_content object:
for holding in res_content['data']:
print(holding['id'], holding['attributes']['name'])
data = holding['attributes']['regions']['data']
for d in data:
print(' ', d['attributes']['name'])
Output:
1 Company1
Region 1
Region 2
2 Company2
Region 1
Region 2
Related
{
"id": 1,
"resourceAttributes": {
"siteId": "100"
},
},
{
"id": 2,
"resourceAttributes": {
"siteId": "200"
},
},
{
"id": 3,
"resourceAttributes": {
"siteId": "100"
},
},
I have this kind of json and as a result I want to show output like this
SiteId100 occurance 2
SiteId200 occurance 1
this out put is on basis of occurrences of site id value like if siteId 100 values occurred in 2 objects I need to show number of occurrences with count. I am trying something like getting all possible site ids and then removing duplicates and then finding one by one but seems that is not a neat solution.
you need to use colections.Counter. here's the full code:
from collections import Counter
data = [
{
"id": 1,
"resourceAttributes": {
"siteId": "100"
},
},
{
"id": 2,
"resourceAttributes": {
"siteId": "200"
},
},
{
"id": 3,
"resourceAttributes": {
"siteId": "100"
},
}
]
c = Counter(s.get("resourceAttributes").get("siteId") for s in data)
for k, v in c.items():
print("siteId{} occurance: {}".format(k, v))
output:
siteId100 occurance: 2
siteId200 occurance: 1
This is the first time I'm working with JSON, and I'm trying to pull url out of the JSON below.
{
"name": "The_New11d112a_Company_Name",
"sections": [
{
"name": "Products",
"payload": [
{
"id": 1,
"name": "TERi Geriatric Patient Skills Trainer,
"type": "string"
}
]
},
{
"name": "Contact Info",
"payload": [
{
"id": 1,
"name": "contacts",
"url": "https://www.a3bs.com/catheterization-kits-8000892-3011958-3b-scientific,p_1057_31043.html",
"contacts": [
{
"name": "User",
"email": "Company Email",
"phone": "Company PhoneNumber"
}
],
"type": "contact"
}
]
}
],
"tags": [
"Male",
"Airway"
],
"_id": "0e4cd5c6-4d2f-48b9-acf2-5aa75ade36e1"
}
I have been able to access description and _id via
data = json.loads(line)
if 'xpath' in data:
xpath = data["_id"]
description = data["sections"][0]["payload"][0]["description"]
However, I can't seem to figure out a way to access url. One other issue I have is there could be other items in sections, which makes indexing into Contact Info a non starter.
Hope this helps:
import json
with open("test.json", "r") as f:
json_out = json.load(f)
for i in json_out["sections"]:
for j in i["payload"]:
for key in j:
if "url" in key:
print(key, '->', j[key])
I think your JSON is damaged, it should be like that.
{
"name": "The_New11d112a_Company_Name",
"sections": [
{
"name": "Products",
"payload": [
{
"id": 1,
"name": "TERi Geriatric Patient Skills Trainer",
"type": "string"
}
]
},
{
"name": "Contact Info",
"payload": [
{
"id": 1,
"name": "contacts",
"url": "https://www.a3bs.com/catheterization-kits-8000892-3011958-3b-scientific,p_1057_31043.html",
"contacts": [
{
"name": "User",
"email": "Company Email",
"phone": "Company PhoneNumber"
}
],
"type": "contact"
}
]
}
],
"tags": [
"Male",
"Airway"
],
"_id": "0e4cd5c6-4d2f-48b9-acf2-5aa75ade36e1"
}
You can check it on http://json.parser.online.fr/.
And if you want to get the value of the url.
import json
j = json.load(open('yourJSONfile.json'))
print(j['sections'][1]['payload'][0]['url'])
I think it's worth to write a short function to get the url(s) and make a decision whether or not to use the first found url in the returned list, or skip processing if there's no url available in your data.
The method shall looks like this:
def extract_urls(data):
payloads = []
for section in data['sections']:
payloads += section.get('payload') or []
urls = [x['url'] for x in payloads if 'url' in x]
return urls
This should print out the URL
import json
# open json file to read
with open('test.json','r') as f:
# load json, parameter as json text (file contents)
data = json.loads(f.read())
# after observing format of JSON data, the location of the URL key
# is determined and the data variable is manipulated to extract the value
print(data['sections'][1]['payload'][0]['url'])
The exact location of the 'url' key:
1st (position) of the array which is the value of the key 'sections'
Inside the array value, there is a dict, and the key 'payload' contains an array
In the 0th (position) of the array is a dict with a key 'url'
While testing my solution, I noticed that the json provided is flawed, after fixing the json flaws(3), I ended up with this.
{
"name": "The_New11d112a_Company_Name",
"sections": [
{
"name": "Products",
"payload": [
{
"id": 1,
"name": "TERi Geriatric Patient Skills Trainer",
"type": "string"
}
]
},
{
"name": "Contact Info",
"payload": [
{
"id": 1,
"name": "contacts",
"url": "https://www.a3bs.com/catheterization-kits-8000892-3011958-3b-scientific,p_1057_31043.html",
"contacts": [
{
"name": "User",
"email": "Company Email",
"phone": "Company PhoneNumber"
}
],
"type": "contact"
}
]
}
],
"tags": [
"Male",
"Airway"
],
"_id": "0e4cd5c6-4d2f-48b9-acf2-5aa75ade36e1"}
After utilizing the JSON that was provided by Vincent55.
I made a working code with exception handling and with certain assumptions.
Working Code:
## Assuming that the target data is always under sections[i].payload
from json import loads
line = open("data.json").read()
data = loads(line)["sections"]
for x in data:
try:
# With assumption that there is only one payload
if x["payload"][0]["url"]:
print(x["payload"][0]["url"])
except KeyError:
pass
I have a JSON file and that is a nested JSON. I would like to remove duplicates based on two keys.
JSON example:
"books": [
{
"id": "1",
"story": {
"title": "Lonely lion"
},
"description": [
{
"release": false,
"author": [
{
"name": "John",
"main": 1
},
{
"name": "Jeroge",
"main": 0
},
{
"name": "Peter",
"main": 0
}
]
}
]
},
{
"id": "2",
"story": {
"title": "Lonely lion"
},
"description": [
{
"release": false,
"author": [
{
"name": "Jeroge",
"main": 1
},
{
"name": "Peter",
"main": 0
},
{
"name": "John",
"main": 0
}
]
}
]
},
{
"id": "3",
"story": {
"title": "Lonely lion"
},
"description": [
{
"release": false,
"author": [
{
"name": "John",
"main": 1
},
{
"name": "Jeroge",
"main": 0
}
]
}
]
}
]
Here I try to match the title and author name. For example, for id 1 and id 2 are duplicates( as the title is same and author names are also same(the author sequence doesn't matter and no need to consider the main attributes). So, in the output JSON only id:1 or id:2 will remain with id:3. In the final output I need two file.
Output_JSON:
"books": [
{
"id": "1",
"story": {
"title": "Lonely lion"
},
"description": [
{
"release": false,
"author": [
{
"name": "John",
"main": 1
},
{
"name": "Jeroge",
"main": 0
},
{
"name": "Peter",
"main": 0
}
]
}
]
},
{
"id": "3",
"story": {
"title": "Lonely lion"
},
"description": [
{
"release": false,
"author": [
{
"name": "John",
"main": 1
},
{
"name": "Jeroge",
"main": 0
}
]
}
]
}
]
duplicatedID.csv:
1-2
The following method I tried but it is not giving correct results:
list= []
duplicate_Id = []
for data in (json_data['books'])[:]:
elements= []
id = data['id']
title = data['story']['title']
elements.append(title)
for i in (data['description'][0]['author']):
name = (i['name'])
elements.append(name)
if not list:
list.append(elements)
else:
for j in list:
if set(elements) == set(j):
duplicate_Id.append(id)
elements = []
The general idea is to:
Get the groups identified by some function that collects duplicates.
Then return the first entry of each group, ensuring no duplicates.
Define the key function as the sorted list of authors and. As the list of authors is by definition the unique key, but may appear in any order.
import json
from itertools import groupby
j = json.load(books)
def transform(books):
groups = [list(group) for _, group in groupby(books, key=getAuthors)]
return [group[0] for group in groups]
def getAuthors(book):
authors = book['description'][0]['author']
return sorted([author['name'] for author in authors])
print(transform(j['books']))
If we wanted to get the duplicates, then we do the same computation, but return any sublist with length > 1 as this is by our definition duplicated data.
def transform(books):
groups = [list(group) for _, group in groupby(books, key=getAuthors)]
return [group for group in groups if len(group) > 1]
Where j['books'] is the JSON you gave enclosed in an object.
I have some data from a project where the variables can change from motorcycle and car. I need to get the name out of them and that value is inside the variable.
This is not the data i will be using but it has the same structure, the "official" data is some persional information so i changed it to some random values. I can not change the structure of the JSON data since this is the way the serveradmins decided to structure it for some reason.
This is my python code:
import json
with open('exampleData.json') as j:
data = json.load(j)
name = 0
Vehicle = 0
for x in data:
print(data['persons'][x]['name'])
for i in data['persons'][x]['things']["Vehicles"]:
print(data['persons'][x]['things']['Vehicles'][i]['type']['name'])
print("\n")
This is my Json data i extracted from the file "ExampleData.json"(sorry for long but it is kinda complex and necessary to understand the problem):
{
"total": 2,
"persons": [
{
"name": "Sven Svensson",
"things": {
"House": "apartment",
"Vehicles": [
{
"id": "46",
"type": {
"name": "Kawasaki ER6N",
"type": "motorcyle"
},
"Motorcycle": {
"plate": "aaa111",
"fields": {
"brand": "Kawasaki",
"status": "in shop"
}
}
},
{
"id": "44",
"type": {
"name": "BMW m3",
"type": "Car"
},
"Car": {
"plate": "bbb222",
"fields": {
"brand": "BMW",
"status": "in garage"
}
}
}
]
}
},
{
"name": "Eric Vivian Matthews",
"things": {
"House": "House",
"Vehicles": [
{
"id": "44",
"type": {
"name": "Volvo XC90",
"type": "Car"
},
"Car": {
"plate": "bbb222",
"fields": {
"brand": "Volvo",
"status": "in garage"
}
}
}
]
}
}
]
}
I want it to print out something like this :
Sven Svensson
Bmw M3
Kawasaki ER6n
Eric Vivian Matthews
Volvo XC90
but i get this error:
print(data['persons'][x]['name'])
TypeError: list indices must be integers or slices, not str
Process finished with exit code 1
What you need is
for person in data["persons"]:
for vehicle in person["things"]["vehicles"]:
print(vehicle["type"]["name"])
type = vehicle["type"]["type"]
print(vehicle[type]["plate"])
Python for loop does not return the key but rather an object here:
for x in data:
Referencing an object as key
print(data['persons'][x]['name'])
Is causing the error
What you need is to use the returning json object and iterate over them like so:
for x in data['persons']:
print(x['name'])
for vehicle in x['things']['Vehicles']:
print(vehicle['type']['name'])
print('\n')
I am receiving a large json from Google Assistant and I want to retrieve some specific details from it. The json is the following:
{
"responseId": "************************",
"queryResult": {
"queryText": "actions_intent_DELIVERY_ADDRESS",
"action": "delivery",
"parameters": {},
"allRequiredParamsPresent": true,
"fulfillmentMessages": [
{
"text": {
"text": [
""
]
}
}
],
"outputContexts": [
{
"name": "************************/agent/sessions/1527070836044/contexts/actions_capability_screen_output"
},
{
"name": "************************/agent/sessions/1527070836044/contexts/more",
"parameters": {
"polar": "no",
"polar.original": "No",
"cardinal": 2,
"cardinal.original": "2"
}
},
{
"name": "************************/agent/sessions/1527070836044/contexts/actions_capability_audio_output"
},
{
"name": "************************/agent/sessions/1527070836044/contexts/actions_capability_media_response_audio"
},
{
"name": "************************/agent/sessions/1527070836044/contexts/actions_intent_delivery_address",
"parameters": {
"DELIVERY_ADDRESS_VALUE": {
"userDecision": "ACCEPTED",
"#type": "type.googleapis.com/google.actions.v2.DeliveryAddressValue",
"location": {
"postalAddress": {
"regionCode": "US",
"recipients": [
"Amazon"
],
"postalCode": "NY 10001",
"locality": "New York",
"addressLines": [
"450 West 33rd Street"
]
},
"phoneNumber": "+1 206-266-2992"
}
}
}
},
{
"name": "************************/agent/sessions/1527070836044/contexts/actions_capability_web_browser"
}
],
"intent": {
"name": "************************/agent/intents/86fb2293-7ae9-4bed-adeb-6dfe8797e5ff",
"displayName": "Delivery"
},
"intentDetectionConfidence": 1,
"diagnosticInfo": {},
"languageCode": "en-gb"
},
"originalDetectIntentRequest": {
"source": "google",
"version": "2",
"payload": {
"isInSandbox": true,
"surface": {
"capabilities": [
{
"name": "actions.capability.MEDIA_RESPONSE_AUDIO"
},
{
"name": "actions.capability.SCREEN_OUTPUT"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
},
{
"name": "actions.capability.WEB_BROWSER"
}
]
},
"inputs": [
{
"rawInputs": [
{
"query": "450 West 33rd Street"
}
],
"arguments": [
{
"extension": {
"userDecision": "ACCEPTED",
"#type": "type.googleapis.com/google.actions.v2.DeliveryAddressValue",
"location": {
"postalAddress": {
"regionCode": "US",
"recipients": [
"Amazon"
],
"postalCode": "NY 10001",
"locality": "New York",
"addressLines": [
"450 West 33rd Street"
]
},
"phoneNumber": "+1 206-266-2992"
}
},
"name": "DELIVERY_ADDRESS_VALUE"
}
],
"intent": "actions.intent.DELIVERY_ADDRESS"
}
],
"user": {
"lastSeen": "2018-05-23T10:20:25Z",
"locale": "en-GB",
"userId": "************************"
},
"conversation": {
"conversationId": "************************",
"type": "ACTIVE",
"conversationToken": "[\"more\"]"
},
"availableSurfaces": [
{
"capabilities": [
{
"name": "actions.capability.SCREEN_OUTPUT"
},
{
"name": "actions.capability.AUDIO_OUTPUT"
},
{
"name": "actions.capability.WEB_BROWSER"
}
]
}
]
}
},
"session": "************************/agent/sessions/1527070836044"
}
This large json returns amongst other things to my back-end the delivery address details of the user (here I use Amazon's NY locations details as an example). Therefore, I want to retrieve the location dictionary which is near the end of this large json. The location details appear also near the start of this json but I want to retrieve specifically the second location dictionary which is near the end of this large json.
For this reason, I had to read through this json by myself and manually test some possible "paths" of the location dictionary within this large json to find out finally that I had to write the following line to retrieve the second location dictionary:
location = json['originalDetectIntentRequest']['payload']['inputs'][0]['arguments'][0]['extension']['location']
Therefore, my question is the following: is there any concise way to retrieve automatically the "path" of the parent keys and indices of the second location dictionary within this large json?
Hence, I expect that the general format of the output from a function which does this for all the occurrences of the location dictionary in any json will be the following:
[["path" of first `location` dictionary], ["path" of second `location` dictionary], ["path" of third `location` dictionary], ...]
where for the json above it will be
[["path" of first `location` dictionary], ["path" of second `location` dictionary]]
as there are two occurrences of the location dictionary with
["path" of second `location` dictionary] = ['originalDetectIntentRequest', 'payload', 'inputs', 0, 'arguments', 0, 'extension', 'location']
I have in my mind relevant posts on StackOverflow (Python--Finding Parent Keys for a specific value in a nested dictionary) but I am not sure that these apply exactly to my problem since these are for parent keys in nested dictionaries whereas here I am talking about the parent keys and indices in dictionary with nested dictionaries and lists.
I solved this by using recursive search
# result and path should be outside of the scope of find_path to persist values during recursive calls to the function
result = []
path = []
from copy import copy
# i is the index of the list that dict_obj is part of
def find_path(dict_obj,key,i=None):
for k,v in dict_obj.items():
# add key to path
path.append(k)
if isinstance(v,dict):
# continue searching
find_path(v, key,i)
if isinstance(v,list):
# search through list of dictionaries
for i,item in enumerate(v):
# add the index of list that item dict is part of, to path
path.append(i)
if isinstance(item,dict):
# continue searching in item dict
find_path(item, key,i)
# if reached here, the last added index was incorrect, so removed
path.pop()
if k == key:
# add path to our result
result.append(copy(path))
# remove the key added in the first line
if path != []:
path.pop()
# default starting index is set to None
find_path(di,"location")
print(result)
# [['queryResult', 'outputContexts', 4, 'parameters', 'DELIVERY_ADDRESS_VALUE', 'location'], ['originalDetectIntentRequest', 'payload', 'inputs', 0, 'arguments', 0, 'extension', 'location']]