RavenPack API_key is working in postman but NOT in python code

Question

I am tryin to work with this repo https://github.com/RavenPack/python-api

Weirdly enough, the API is working perfectly with POSTMAN (it's a tool used to automate testing API development and HTTP calls)

Here's the code snippet

from ravenpackapi import RPApi
from ravenpackapi import Dataset

api = RPApi(
    api_key="_________" //correct api_key was intentionally removed for the post
)

ds = api.create_dataset(
    Dataset(
        name="New Dataset",
        filters={
            "relevance": {
                "$gte": 90
            }
        },
    )
)

print("Dataset created", ds)

Here is the error message.

I repeat the same API key is working with postman on the same device and network. It's just that their python library is giving me a hard time.

Exception has occurred: APIException
Got an error 401: body was '{"endpoint":"datasets","errors":[{"type":"UnauthorizedError","reason":"Unauthorized: Must supply a valid API key"}]}'
  File "C:\Users\XYZ\Documents\Python\RavenPackAPI.py", line 8, in <module>
    ds = api.create_dataset(

Answer 1

https://github.com/RavenPack/python-api/blob/master/ravenpackapi/examples/create_dataset_edge.py

This code is the solution^^^ I was using an old code snippet that called the RPA cluster internally:

from ravenpackapi import RPApi
from ravenpackapi import Dataset

#api = RPApi(api_key="L3KOJd7sjL7ZPsWXt4geSy")



api = RPApi(api_key="L3KOJd7sjL7ZPsWXt4geSy", product="edge")

ds = api.create_dataset(
    Dataset(
        **{
            "name": "Edge Dataset",
            "product": "edge",
            "product_version": "1.0",
            "frequency": "granular",
            "fields": [
                "timestamp_utc", "rp_document_id", "rp_entity_id", "entity_type", "entity_name",
                "country_code", "event_relevance", "entity_sentiment", "event_sentiment", "topic", "group"
            ],
            "filters": {
                "$and": [
                    {"event_relevance": {"$gte": 90}},
                    {"country_code": {"$in": ["GB"]}},
                    {"event_sentiment": {"$nbetween": [-0.5, 0.5]}}
                ]
            },
        }
    )
)

print("Dataset created", ds)