[Solved] Object of type ‘Decimal’ is not JSON serializable

Lambda execution failed with status 200 due to customer function error: Object of type ‘Decimal’ is not JSON serializable

I went through all the existing solutions in the following link but nothing worked for me. What am I doing wrong?:
Python JSON serialize a Decimal object

import json
import boto3
import decimal

client = boto3.resource('dynamodb')
table = client.Table('table')

def lambda_handler(event, context):
    method = event["httpMethod"]
    if method=="POST":
        return POST(event)
    elif method=="DELETE":
        return DELETE(event)
    elif method=="GET":
        return GET(event)

#the respons format
def send_respons(responseBody, statusCode):
    response = {
        "statusCode": statusCode,
        "headers": {
            "my_header": "my_value"
        "body": json.dumps(responseBody),
        "isBase64Encoded": 'false'
    return response

def GET(event):
    tab = table.scan()['Items']
    ids = []
            for item in tab:
                    ids.append({"id":item["id"], "decimalOBJ":decimal.Decimal(item["decimalOBJ"]}))
            return send_respons(ids, 201)
Enquirer: papi


Solution #1:

It seems you have two options:

  1. Probably easiest, you can serialize the int/float value of a Decimal object:

""" assume d is your decimal object """

serializable_d = int(d) # or float(d)

d_json = json.dumps(d)

  1. You can add simplejson to your requirements.txt, which now has support for serializing Decimals. It’s a drop-in replacement for the included json module.
import simplejson as json # instead of import json

The rest of your code will work the same. If you need further assistance, kindly leave a comment.

Respondent: hd1

Solution #2:

Here is an example of extending the JSONEncoder to handle Decimal type also specified in the json docs

from decimal import Decimal

class DecimalEncoder(json.JSONEncoder):
  def default(self, obj):
    if isinstance(obj, Decimal):
      return str(obj)
    return json.JSONEncoder.default(self, obj)

Call it using

json.dumps(some_object, cls=DecimalEncoder)

By converting to a str a good degree of precision will be maintained, without relying on external packages.

Solution #3:

Create a function to handle the TypeError and use default argument of json.dumps to set this. This avoid TypeError: Object of type Decimal is not JSON serializable.

If specified, default should be a function that gets called for
objects that can’t otherwise be serialized. It should return a JSON
encodable version of the object or raise a TypeError. If not
specified, TypeError is raised.

import decimal
import json

def dumps(item: dict) -> str:
    return json.dumps(item, default=default_type_error_handler)

def default_type_error_handler(obj):
    if isinstance(obj, decimal.Decimal):
        return int(obj)
    raise TypeError

import json
from decimal import Decimal
from commons import json_utils

def test_different_data_types():
    # Prepare data
    item = {
        "a-string": "lorem",
        "a-boolean": True,
        "a-number": 4711,
        "a-decimal-object": Decimal(4711)  # Used by dynamoDb boto3 client

    # Execute
    item_as_json = json_utils.dumps(item)

    # Assert
    item_back_to_dict = json.loads(item_as_json)
    assert item_back_to_dict == item
Respondent: Sma Ma

The answers/resolutions are collected from stackoverflow, are licensed under cc by-sa 2.5 , cc by-sa 3.0 and cc by-sa 4.0 .

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