Equivalent of Python "json.dumps()" in R?

Equivalent of Python "json.dumps()" in R? - python

I'm a very beginner student of R (still coursing the "R Programming" course on Coursera) and I'm trying to practice R porting some easy code from Python to R.
Currently I'm trying to make API calls for a KairosDB database. In order to make the query, I need to encode the Python object with json.dumps() (from the json native library), but I've searched a lot and I don't get how I can do that with R and it's jsonlite library. I don't even know if I'm creating the JSON object corretly, but that's what I've found in some searches.
My code written in Python 3 (from this repo):
import requests
import json
kairosdb_server = "http://localhost:8080"
# Simple test
query = {
"start_relative": {
"value": "4",
"unit": "years"
},
"metrics": [
{
"name": "test",
"limit": 10000
}
]
}
response = requests.post(kairosdb_server + "/api/v1/datapoints/query", data=json.dumps(query))
print("Status code: %d" % response.status_code)
print("JSON response:")
print(response.json())
My current code written in R 3.2.3:
library(httr)
library(jsonlite)
kairosdb_server <- 'http://localhost:8080'
query <- serializeJSON(toJSON('
"start_relative": {
"value": "4",
"unit": "years"
},
"metrics": [
{
"name": "test",
"limit": 1000
}
]
'))
url <- paste(kairosdb_server, '/api/v1/datapoints/query')
response <- POST(url, body = query, encode = 'json')
print(paste("Query status code: ", response$status_code))
print(paste("JSON response: \n", content(response, type = 'application/json')))
If I run that I got the following error:
print(paste("Query status code: ", response$status_code))
# [1] "Query status code: 400"
print(paste("JSON response: \n", content(response, type = 'application/json')))
# [1] "JSON response: \n list(\"query.metric[] must have a size of at least 1\")"
What I'm doing wrong?

Normally one would pass a named list into body but trying to get R to preserve the array in "metrics" is tricky. Since you kinda already have JSON with the original Python structure, why not just add brackets and pass it in as a character vector? i.e.
query <- '{"start_relative": {
"value": "4",
"unit": "years"
},
"metrics": [
{
"name": "test",
"limit": 10000
}
]}'
(then just use that query in the POST). It's equivalent JSON to what json.dumps() spits out:
# get rid of newlines and spaces just to show they are the same,
# the server won't (shouldn't) care if there are newlines/spaces
cat(gsub(" \\]", "]", gsub("\\[ ", "[", gsub(" \\}", "}", gsub("\\{ ", "{", gsub("\ +", " ", gsub("\\n", "", query)))))))
{"start_relative": {"value": "4", "unit": "years"}, "metrics": [{"name": "test", "limit": 10000}]}
# python
json.dumps(query)
'{"metrics": [{"limit": 10000, "name": "test"}], "start_relative": {"unit": "years", "value": "4"}}'
If you do need an R data structure to work with, you're going to end up manipulating the output of toJSON.

Related

Navigating through a JSON Response to capture a value

I am trying to capture the "ilapd" string in the "process:ilapd" value under the "Tags" key but have not been successful. How do I go about grabbing this string?
I have tried to iterate through the data with several variables of a for loop but keep getting errors for type integers.
JSON data below:
data = {
"alertOwner":"team",
"assignGroup":"team",
"component":"lnx2",
"Tags":"application:unknown, appowner:secops, bgs:performance, businessgroup:top, drexercise:no, env:nonprod, facility:hq, host:lnx2, location:somewhere, manager:smith, monitor, monitoring24x7:yes, osowner:unix, process:ilapd",
"description":"Process ilapd is not running on lnx2, expected state is running,",
"Event Url":"https://app.datadoghq.com/monitors#67856691",
"logicalName":"lnx2",
"Metric Graph":"<img src=\"\" />",
"pageGroups":"team",
"priority":"4",
"Snapshot Link":"",
"type":"test"
}

You can use str.split + str.startswith:
data = {
"alertOwner": "team",
"assignGroup": "team",
"component": "lnx2",
"Tags": "application:unknown, appowner:secops, bgs:performance, businessgroup:top, drexercise:no, env:nonprod, facility:hq, host:lnx2, location:somewhere, manager:smith, monitor, monitoring24x7:yes, osowner:unix, process:ilapd",
"description": "Process ilapd is not running on lnx2, expected state is running,",
"Event Url": "https://app.datadoghq.com/monitors#67856691",
"logicalName": "lnx2",
"Metric Graph": '<img src="" />',
"pageGroups": "team",
"priority": "4",
"Snapshot Link": "",
"type": "test",
}
process = next(
tag.split(":")[-1]
for tag in map(str.strip, data["Tags"].split(","))
if tag.startswith("process:")
)
print(process)
Prints:
ilapd
Or using re module:
import re
r = re.compile(r"process:(.*)")
for t in data["Tags"].split(","):
if (m := r.search(t)) :
print(m.group(1))

Python requests accessing index of response object

I'm new to python and trying to practice aggregating data from an api call
i have this script
r = requests.get('https://jsonplaceholder.typicode.com/users')
print r.text
which returns an array of objects in this format
[{
"id": 1,
"name": "Leanne Graham",
"username": "Bret",
"email": "Sincere#april.biz",
"address": {
"street": "Kulas Light",
"suite": "Apt. 556",
"city": "Gwenborough",
"zipcode": "92998-3874",
"geo": {
"lat": "-37.3159",
"lng": "81.1496"
}
}]
I've been playing around and tried this to see if I can access the first object
print r.text[0]
And it didn't work. So how do I do this with python

You need to parse the JSON text:
import json
array = json.loads(r)
print array[0]

request.text returns Http response body.
so If you want to get first propery of json,
you should convert string to json object.
This works
result = r.text
print(type) # prints str
import json
result = json.loads(result)
print(result[0]) # (...)

python TypeError: string indices must be integers json

Can some one tell me what I am doing wrong ?I am Getting this error..
went through the earlier post of similar error. couldn't able to understand..
import json
import re
import requests
import subprocess
res = requests.get('https://api.tempura1.com/api/1.0/recipes', auth=('12345','123'), headers={'App-Key': 'some key'})
data = res.text
extracted_recipes = []
for recipe in data['recipes']:
extracted_recipes.append({
'name': recipe['name'],
'status': recipe['status']
})
print extracted_recipes
TypeError: string indices must be integers
data contains the below
{
"recipes": {
"47635": {
"name": "Desitnation Search",
"status": "SUCCESSFUL",
"kitchen": "eu",
"active": "YES",
"created_at": 1501672231,
"interval": 5,
"use_legacy_notifications": false
},
"65568": {
"name": "Validation",
"status": "SUCCESSFUL",
"kitchen": "us-west",
"active": "YES",
"created_at": 1522583593,
"interval": 5,
"use_legacy_notifications": false
},
"47437": {
"name": "Gateday",
"status": "SUCCESSFUL",
"kitchen": "us-west",
"active": "YES",
"created_at": 1501411588,
"interval": 10,
"use_legacy_notifications": false
}
},
"counts": {
"total": 3,
"limited": 3,
"filtered": 3
}
}

You are not converting the text to json. Try
data = json.loads(res.text)
or
data = res.json()
Apart from that, you probably need to change the for loop to loop over the values instead of the keys. Change it to something the following
for recipe in data['recipes'].values()

There are two problems with your code, which you could have found out by yourself by doing a very minimal amount of debugging.
The first problem is that you don't parse the response contents from json to a native Python object. Here:
data = res.text
data is a string (json formatted, but still a string). You need to parse it to turn it into it's python representation (in this case a dict). You can do it using the stdlib's json.loads() (general solution) or, since you're using python-requests, just by calling the Response.json() method:
data = res.json()
Then you have this:
for recipe in data['recipes']:
# ...
Now that we have turned data into a proper dict, we can access the data['recipes'] subdict, but iterating directly over a dict actually iterates over the keys, not the values, so in your above for loop recipe will be a string ( "47635", "65568" etc). If you want to iterate over the values, you have to ask for it explicitly:
for recipe in data['recipes'].values():
# now `recipe` is the dict you expected

Difficulties using Python request (POST) + API

Im trying to use a simple API with python. I get the data with the code below but, but I can't seem to parse it. When i print the type of variable "c" it says "unicode". I want a Json object or dictionary so I can use the information.
I have I tried various ways to solve this but I'm not sure if the output from the API (below) is actually Json or why it doesn't work properly.
import requests
import json
import urllib
test1 ={
"query": [
{
"code": "SNI2007",
"selection": {
"filter": "item",
"values": [
"47.4+47.54"
]
}
},
{
"code": "ContentsCode",
"selection": {
"filter": "item",
"values": [
"HA0101A9",
"HA0101B4"
]
}
},
{
"code": "Tid",
"selection": {
"filter": "item",
"values": [
"2010M01",
"2010M02",
"2010M03",
"2010M04",
"2010M05",
"2010M06",
"2010M07",
"2010M08",
"2010M09",
"2010M10",
"2010M11",
"2010M12",
"2011M01",
"2011M02",
"2011M03",
"2011M04",
"2011M05",
"2011M06",
"2011M07",
"2011M08",
"2011M09",
"2011M10",
"2011M11",
"2011M12",
"2012M01",
"2012M02",
"2012M03",
"2012M04",
"2012M05",
"2012M06",
"2012M07",
"2012M08",
"2012M09",
"2012M10",
"2012M11",
"2012M12",
"2013M01",
"2013M02",
"2013M03",
"2013M04",
"2013M05",
"2013M06",
"2013M07",
"2013M08",
"2013M09",
"2013M10",
"2013M11",
"2013M12",
"2014M01",
"2014M02",
"2014M03",
"2014M04",
"2014M05",
"2014M06",
"2014M07",
"2014M08",
"2014M09",
"2014M10",
"2014M11",
"2014M12",
"2015M01",
"2015M02",
"2015M03",
"2015M04",
"2015M05",
"2015M06",
"2015M07",
"2015M08",
"2015M09",
"2015M10",
"2015M11",
"2015M12",
"2016M01",
"2016M02",
"2016M03",
"2016M04",
"2016M05",
"2016M06",
"2016M07",
"2016M08",
"2016M09",
"2016M10",
"2016M11",
"2016M12",
"2017M01",
"2017M02",
"2017M03",
"2017M04",
"2017M05",
"2017M06",
"2017M07",
"2017M08",
"2017M09",
"2017M10",
"2017M11",
"2017M12",
"2018M01",
"2018M02",
"2018M03",
"2018M04"
]
}
}
],
"response": {
"format": "json"
}
}
response = requests.post("http://api.scb.se/OV0104/v1/doris/sv/ssd/START/HA/HA0101/HA0101B/Detoms07", json = test1)
dat = response.content
b = json.dumps(dat)
c = json.loads(b)
print type(b)
This is what I get if I print the "response.content" variable.
{"columns":[{"code":"SNI2007","text":"näringsgren SNI 2007","type":"d"},{"code":"Tid","text":"månad","type":"t"},{"code":"HA0101A9","text":"Löpande priser","type":"c"},{"code":"HA0101B4","text":"Fasta priser","type":"c"}],"comments":[],"data":[{"key":["47.4+47.54","2010M01"],"values":["90.3","45.0"]},{"key":["47.4+47.54","2010M02"],"values":["80.9","40.3"]},{"key":["47.4+47.54","2010M03"],"values":["91.3","45.7"]},{"key":["47.4+47.54","2010M04"],"values":["83.9","43.5"]},{"key":["47.4+47.54","2010M05"],"values":["87.4","45.7"]},{"key":["47.4+47.54","2010M06"],"values":["97.6","52.6"]},{"key":["47.4+47.54","2010M07"],"values":["99.5","54.2"]},{"key":["47.4+47.54","2010M08"],"values":["105.2","57.3"]},{"key":["47.4+47.54","2010M09"],"values":["108.9","60.4"]},{"key":["47.4+47.54","2010M10"],"values":["107.9","60.7"]},{"key":["47.4+47.54","2010M11"],"values":["107.9","61.3"]},{"key":["47.4+47.54","2010M12"],"values":["181.9","106.1"]},{"key":["47.4+47.54","2011M01"],"values":["95.3","55.9"]},{"key":["47.4+47.54","2011M02"],"values":["80.1","47.3"]},{"key":["47.4+47.54","2011M03"],"values":["88.8","53.5"]},{"key":["47.4+47.54","2011M04"],"values":["79.4","48.5"]},{"key":["47.4+47.54","2011M05"],"values":["85.9","53.0"]},{"key":["47.4+47.54","2011M06"],"values":["90.2","57.3"]},{"key":["47.4+47.54","2011M07"],"values":["95.5","61.1"]},{"key":["47.4+47.54","2011M08"],"values":["97.1","62.3"]},{"key":["47.4+47.54","2011M09"],"values":["96.3","62.4"]},{"key":["47.4+47.54","2011M10"],"values":["97.0","63.6"]},{"key":["47.4+47.54","2011M11"],"values":["104.5","69.2"]},{"key":["47.4+47.54","2011M12"],"values":["171.4","113.9"]},{"key":["47.4+47.54","2012M01"],"values":["93.7","62.8"]},{"key":["47.4+47.54","2012M02"],"values":["78.3","53.1"]},{"key":["47.4+47.54","2012M03"],"values":["87.2","60.1"]},{"key":["47.4+47.54","2012M04"],"values":["82.7","57.4"]},{"key":["47.4+47.54","2012M05"],"values":["81.1","56.8"]},{"key":["47.4+47.54","2012M06"],"values":["92.8","66.3"]},{"key":["47.4+47.54","2012M07"],"values":["88.4","64.0"]},{"key":["47.4+47.54","2012M08"],"values":["92.7","68.0"]},{"key":["47.4+47.54","2012M09"],"values":["96.1","71.5"]},{"key":["47.4+47.54","2012M10"],"values":["92.4","69.7"]},{"key":["47.4+47.54","2012M11"],"values":["99.2","75.9"]},{"key":["47.4+47.54","2012M12"],"values":["147.5","115.5"]},{"key":["47.4+47.54","2013M01"],"values":["89.6","70.6"]},{"key":["47.4+47.54","2013M02"],"values":["75.5","59.9"]},{"key":["47.4+47.54","2013M03"],"values":["79.5","63.7"]},{"key":["47.4+47.54","2013M04"],"values":["76.2","62.0"]},{"key":["47.4+47.54","2013M05"],"values":["79.0","65.0"]},{"key":["47.4+47.54","2013M06"],"values":["84.6","70.5"]},{"key":["47.4+47.54","2013M07"],"values":["85.7","73.0"]},{"key":["47.4+47.54","2013M08"],"values":["91.6","77.8"]},{"key":["47.4+47.54","2013M09"],"values":["90.6","77.4"]},{"key":["47.4+47.54","2013M10"],"values":["93.0","79.8"]},{"key":["47.4+47.54","2013M11"],"values":["97.4","84.3"]},{"key":["47.4+47.54","2013M12"],"values":["151.0","133.0"]},{"key":["47.4+47.54","2014M01"],"values":["92.3","81.6"]},{"key":["47.4+47.54","2014M02"],"values":["75.7","67.6"]},{"key":["47.4+47.54","2014M03"],"values":["82.3","74.5"]},{"key":["47.4+47.54","2014M04"],"values":["79.6","72.7"]},{"key":["47.4+47.54","2014M05"],"values":["80.3","73.9"]},{"key":["47.4+47.54","2014M06"],"values":["92.7","85.9"]},{"key":["47.4+47.54","2014M07"],"values":["88.0","82.7"]},{"key":["47.4+47.54","2014M08"],"values":["94.4","88.6"]},{"key":["47.4+47.54","2014M09"],"values":["100.2","95.3"]},{"key":["47.4+47.54","2014M10"],"values":["103.0","98.9"]},{"key":["47.4+47.54","2014M11"],"values":["104.4","100.0"]},{"key":["47.4+47.54","2014M12"],"values":["159.9","154.1"]},{"key":["47.4+47.54","2015M01"],"values":["95.9","93.3"]},{"key":["47.4+47.54","2015M02"],"values":["80.5","78.3"]},{"key":["47.4+47.54","2015M03"],"values":["90.4","88.5"]},{"key":["47.4+47.54","2015M04"],"values":["82.6","81.2"]},{"key":["47.4+47.54","2015M05"],"values":["85.9","84.4"]},{"key":["47.4+47.54","2015M06"],"values":["97.5","96.8"]},{"key":["47.4+47.54","2015M07"],"values":["95.1","95.0"]},{"key":["47.4+47.54","2015M08"],"values":["93.7","93.8"]},{"key":["47.4+47.54","2015M09"],"values":["98.4","99.4"]},{"key":["47.4+47.54","2015M10"],"values":["105.5","107.5"]},{"key":["47.4+47.54","2015M11"],"values":["114.6","116.9"]},{"key":["47.4+47.54","2015M12"],"values":["159.9","164.9"]},{"key":["47.4+47.54","2016M01"],"values":["91.4","95.8"]},{"key":["47.4+47.54","2016M02"],"values":["84.7","90.1"]},{"key":["47.4+47.54","2016M03"],"values":["89.6","96.2"]},{"key":["47.4+47.54","2016M04"],"values":["87.9","94.8"]},{"key":["47.4+47.54","2016M05"],"values":["84.6","92.1"]},{"key":["47.4+47.54","2016M06"],"values":["95.0","105.6"]},{"key":["47.4+47.54","2016M07"],"values":["93.0","104.3"]},{"key":["47.4+47.54","2016M08"],"values":["96.1","106.9"]},{"key":["47.4+47.54","2016M09"],"values":["98.2","110.5"]},{"key":["47.4+47.54","2016M10"],"values":["103.2","116.4"]},{"key":["47.4+47.54","2016M11"],"values":["116.6","132.3"]},{"key":["47.4+47.54","2016M12"],"values":["155.6","177.2"]},{"key":["47.4+47.54","2017M01"],"values":["94.7","108.3"]},{"key":["47.4+47.54","2017M02"],"values":["79.2","91.4"]},{"key":["47.4+47.54","2017M03"],"values":["88.8","102.8"]},{"key":["47.4+47.54","2017M04"],"values":["80.3","93.9"]},{"key":["47.4+47.54","2017M05"],"values":["82.9","97.4"]},{"key":["47.4+47.54","2017M06"],"values":["94.2","111.0"]},{"key":["47.4+47.54","2017M07"],"values":["88.3","103.4"]},{"key":["47.4+47.54","2017M08"],"values":["91.0","105.8"]},{"key":["47.4+47.54","2017M09"],"values":["92.6","107.9"]},{"key":["47.4+47.54","2017M10"],"values":["97.9","115.2"]},{"key":["47.4+47.54","2017M11"],"values":["121.2","142.7"]},{"key":["47.4+47.54","2017M12"],"values":["149.7","177.7"]},{"key":["47.4+47.54","2018M01"],"values":["98.1","116.3"]},{"key":["47.4+47.54","2018M02"],"values":["79.0","94.6"]},{"key":["47.4+47.54","2018M03"],"values":["93.0","112.9"]},{"key":["47.4+47.54","2018M04"],"values":["85.6","104.3"]}]}

There's two strategies you can use, response.json() will give you back a dict with all the JSON in key-value format using requests internal JSON parser, the other if you want to use the actual json library is to do json_data = json.loads(response.text) and allow the json library to parse it instead.
In general the requests JSON parser is probably enough for what you need.

Python - AWS Lambda extract a key from JSON input

Im trying to implement a function that will get the event from cloudwatch and print the results. I am able to get the event but I want to extract one particular key from that JSON.
Here is my function:
import json
def lambda_handler(event, context):
print("Received event: " + json.dumps(event, indent=2))
message = event['Records'][0]['Sns']['Message']
print(message)
The event got from Cloudwatch:
"Records": [
{
"EventVersion": "1.0",
"EventSubscriptionArn": "arn:aws:sns:us-east-1:xxxxxxxxxxxxx:bhuvi:XXXXXXXXXXXXXXXXXXXXXXXXXX",
"EventSource": "aws:sns",
"Sns": {
"SignatureVersion": "1",
"Timestamp": "2018-01-13T19:18:44.369Z",
"Signature": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"SigningCertUrl": "https://sns.us-east-1.amazonaws.com/SimpleNotificationService-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX.pem",
"MessageId": "4b76b0ea-5e0f-502f-81ec-e23e03dbaf01",
"Message": "{\"AlarmName\":\"test\",\"AlarmDescription\":\"test\",\"AWSAccountId\":\"xxxxxxxxxxxxx\",\"NewStateValue\":\"ALARM\",\"NewStateReason\":\"Threshold Crossed: 1 out of the last 1 datapoints [2.6260535333900545 (13/01/18 19:13:00)] was greater than or equal to the threshold (1.0) (minimum 1 datapoint for OK -> ALARM transition).\",\"StateChangeTime\":\"2018-01-13T19:18:44.312+0000\",\"Region\":\"US East (N. Virginia)\",\"OldStateValue\":\"OK\",\"Trigger\":{\"MetricName\":\"CPUUtilization\",\"Namespace\":\"AWS/RDS\",\"StatisticType\":\"Statistic\",\"Statistic\":\"AVERAGE\",\"Unit\":null,\"Dimensions\":[{\"name\":\"DBInstanceIdentifier\",\"value\":\"myrds\"}],\"Period\":300,\"EvaluationPeriods\":1,\"ComparisonOperator\":\"GreaterThanOrEqualToThreshold\",\"Threshold\":1.0,\"TreatMissingData\":\"\",\"EvaluateLowSampleCountPercentile\":\"\"}}",
"MessageAttributes":
{}
,
"Type": "Notification",
"UnsubscribeUrl": "https://sns.us-east-1.amazonaws.com/?xcsgagrgrwgwrg",
"TopicArn": "arn:aws:sns:us-east-1:xxxxxxxxxxxxx:bhuvi",
"Subject": "ALARM: \"test\" in US East (N. Virginia)"
}
}
]
}
My extract command(Upto message) and its result:
message = event['Records'][0]['Sns']['Message']
print(message)
Result
{
"AlarmName": "test",
"AlarmDescription": "test",
"AWSAccountId": "xxxxxxxxxxxxx",
"NewStateValue": "ALARM",
"NewStateReason": "Threshold Crossed: 1 out of the last 1 datapoints [2.6260535333900545 (13/01/18 19:13:00)] was greater than or equal to the threshold (1.0) (minimum 1 datapoint for OK -> ALARM transition).",
"StateChangeTime": "2018-01-13T19:18:44.312+0000",
"Region": "US East (N. Virginia)",
"OldStateValue": "OK",
"Trigger": {
"MetricName": "CPUUtilization",
"Namespace": "AWS/RDS",
"StatisticType": "Statistic",
"Statistic": "AVERAGE",
"Unit": null,
"Dimensions": [
{
"name": "DBInstanceIdentifier",
"value": "myrds"
}
],
"Period": 300,
"EvaluationPeriods": 1,
"ComparisonOperator": "GreaterThanOrEqualToThreshold",
"Threshold": 1,
"TreatMissingData": "",
"EvaluateLowSampleCountPercentile": ""
}
I want to extract some values from this message pane.
For eg: I want to extract name. So I tried the below command, but unfortunately its not working. Can anyone help me on this?
my code for this:
message = event['Records'][0]['Sns']['Message']['Trigger']['Dimensions']['name']
print(message)
ERROR:
{
"stackTrace": [
[
"/var/task/lambda_function.py",
14,
"lambda_handler",
"message = event['Records'][0]['Sns']['Message']['Trigger']['Dimensions']['name']"
]
],
"errorType": "TypeError",
"errorMessage": "string indices must be integers"
}

So there are 3 problems:
Problem 1: In your example event, ['Records'][0]['Sns']['Message'] is a str in JSON format. That means that you need to parse to a dict like this:
message = event['Records'][0]['Sns']['Message']
message = json.loads(message)
Problem 2: message['Trigger']['Dimensions'] is a list but you are trying to access it like if it were a dict. So you only need to change your code to:
message = message['Trigger']['Dimensions'][0]['name']
Problem 3: Message is a str that means that you need to verify that is a plain str or json str (otherwise you are going to have problems with multiple structures and types). For that your code could look like:
message = event['Records'][0]['Sns']['Message']
if isinstance(message, str):
try:
message = json.loads(message)
except Exception as e:
print(e) # Or do nothing, this is just to log the error
elif isinstance(message, list):
message = message[0]
# Maybe evaluate bool, tuple, etc other types
print('RESPONSE', message['Trigger']['Dimensions'][0]['name'] if isinstance(message, dict) else message)
However I would also recommend to make it more extensible iterating the elements that you know are list. And for safety reasons (trying to avoid null pointer exceptions), use the get() function with a default value. http://www.tutorialspoint.com/python/dictionary_get.htm . Try maybe to create a function to parse structures and make it reusable.
Good luck!

Just as Records is a list, so you use ['Records'][0]['Sns']..., so is Dimensions, so again you need to access the first element.

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