Reputation: 11049
I have a function in AWS Lambda written in Python.
I am trying to extract documents from a collection in MongoDB with pymongo
.
I thought it was quite simple, but I seem to get problems (maybe because of ObjectID types).
I am simply trying to do
from pymongo import MongoClient
def lambda_handler(event, context):
client = MongoClient(MONGODB_URI)
db = client[DB_NAME]
return db.users.find({})
but I get the error
{errorMessage= is not JSON serializable, errorType=TypeError, stackTrace=[["\/var\/lang\/lib\/python3.6\/json\/__init__.py",238,"dumps","**kw).encode(obj)"],["\/var\/lang\/lib\/python3.6\/json\/encoder.py",199,"encode","chunks = self.iterencode(o, _one_shot=True)"],["\/var\/lang\/lib\/python3.6\/json\/encoder.py",257,"iterencode","return _iterencode(o, 0)"],["\/var\/runtime\/awslambda\/bootstrap.py",110,"decimal_serializer","raise TypeError(repr(o) + \" is not JSON serializable\")"]]}
It does work if I use return bson.json_util.dumps(db.users.find({}))
, but why should it be necessary?
As far as I understand, lambda functions always return json, so I don't understand why I have to use bson.json_util
.
Also, when I use this function, I don't get normal ObjectID types, but instead I get
[
{"_id": {"$oid": "59aed327f25c0f0ca8f94ae1"}, "name": ...},
...
]
although I wanted something like
[
{"_id": "59aed327f25c0f0ca8f94ae1", "name": ...},
...
]
Upvotes: 0
Views: 1707
Reputation: 2798
Your issue is due to pymongo not returning straight JSON strings. An example of how to handle this can be found here -
How do I turn MongoDB query into a JSON?
It should be noted that API Gateway expects to return JSON unless configured otherwise. https://aws.amazon.com/blogs/compute/binary-support-for-api-integrations-with-amazon-api-gateway/
Upvotes: 1