Python AWS Lambda Event JSON - python

I am trying to parse event data of AWS Lambda, I have connected it to SQS and I am sending the JSON format using SQS.
This is my AWS Lambda Function
import json
def lambda_handler(event, context):
# print(event)
# print(event['Records'][0])
x = event['Records'][0]['body']
print(x)
print(type(x))
Following is the event data
{
"Records":[
{
"messageId":"916f5e95-b2f6-4148-9c62-2ac8e764f06c",
"receiptHandle":"AQEBmLuoGWtLtFFgvyCFdSPMJh2HKgHOIPWNUq22EOwCzGT8iILZm97CE6j4J6oR71ZpDr3sgxQcJyVZ+dmmvGl+fFftT9GCJqZYrjMGsR2Q6WsMd8ciI8bTtDXyvsk8ektd7UGfh4gxIZoFp7WUKVRcMEeBkubKd8T4/Io81D0l/AK7MxcEfCj40vWEsex1kkGmMRlBtdSeGyy7fJgUq5CFAYWciiWtbSit8S0Y38xZPmsIFhoxP0egQRoJcW4aUgMi469Gj5+khizetybtgC8vux5NCg/IejxcCueXkQ7LKVF8kfRdqRSUYB6DsOrGgfmZpK4wpXIarByNz0R2p7J88meYpj2IVULv/emXsSYaKG4rXnpbH4J9ijbLWckYLAd7wPDzCYri1ZSTgAz0kchsEw==",
"body":"{\n\"name\": \"aniket\",\n\"tag\": \"hello\"\n}",
"attributes":{
"ApproximateReceiveCount":"1",
"SentTimestamp":"1602046897707",
"SenderId":"AIDAR3BXDV4FCWXL56NUU",
"ApproximateFirstReceiveTimestamp":"1602046897712"
},
"messageAttributes":{
},
"md5OfBody":"98da683a47692b39c1d43bd4fa21ed89",
"eventSource":"aws:sqs",
"eventSourceARN":"arn:aws:sqs:ap-south-1:126817120010:documentation",
"awsRegion":"ap-south-1"
}
]
}
I am trying to access the body of the data.
this is what I am getting
"{\n\"name\": \"aniket\",\n\"tag\": \"hello\"\n}"
And it's type is string.
What do I need to do convert it into a proper JSON format?
I also tried the following:
import json
def lambda_handler(event, context):
data = json.dumps(event['Records'][0]['body'])
print(data)
This is the output
"{\n\"name\": \"aniket\",\n\"tag\": \"hello\"\n}"
But this time the type is JSON.
The expected format is
{
"name": "aniket",
"tag": "hello"
}

You have to use json.loads not json.dumps.
Try this:
import json
event = {
"Records":[
{
"messageId":"916f5e95-b2f6-4148-9c62-2ac8e764f06c",
"receiptHandle":"AQEBmLuoGWtLtFFgvyCFdSPMJh2HKgHOIPWNUq22EOwCzGT8iILZm97CE6j4J6oR71ZpDr3sgxQcJyVZ+dmmvGl+fFftT9GCJqZYrjMGsR2Q6WsMd8ciI8bTtDXyvsk8ektd7UGfh4gxIZoFp7WUKVRcMEeBkubKd8T4/Io81D0l/AK7MxcEfCj40vWEsex1kkGmMRlBtdSeGyy7fJgUq5CFAYWciiWtbSit8S0Y38xZPmsIFhoxP0egQRoJcW4aUgMi469Gj5+khizetybtgC8vux5NCg/IejxcCueXkQ7LKVF8kfRdqRSUYB6DsOrGgfmZpK4wpXIarByNz0R2p7J88meYpj2IVULv/emXsSYaKG4rXnpbH4J9ijbLWckYLAd7wPDzCYri1ZSTgAz0kchsEw==",
"body":"{\n\"name\": \"aniket\",\n\"tag\": \"hello\"\n}",
"attributes":{
"ApproximateReceiveCount":"1",
"SentTimestamp":"1602046897707",
"SenderId":"AIDAR3BXDV4FCWXL56NUU",
"ApproximateFirstReceiveTimestamp":"1602046897712"
},
"messageAttributes":{
},
"md5OfBody":"98da683a47692b39c1d43bd4fa21ed89",
"eventSource":"aws:sqs",
"eventSourceARN":"arn:aws:sqs:ap-south-1:126817120010:documentation",
"awsRegion":"ap-south-1"
}
]
}
parsed = json.loads(event['Records'][0]['body'])
print(json.dumps(parsed, indent=4, sort_keys=True))
Output:
{
"name": "aniket",
"tag": "hello"
}

Try using json.loads(string) to deserialize the json.
Also, I don't believe you need to specify the index [0] since 'body' is an object and not an array.

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{
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{"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 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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.

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