API Deployer Node - Test queries error with Python Dataiku modules

shajay12

Hi Everyone,

Request you to please check and help me.

Now I am getting errors on this code.

Error :

2_deploy_dev/test_dev.py:34: in <module>
prediction = client.predict_record("api_endpoint_id", "record_to_predict")
E AttributeError: 'DSSClient' object has no attribute 'predict_record'

CODE :

with the

client = dataikuapi.DSSClient(host, apiKey)
client._session.verify = False

record_to_predict = {
"XXXXX-ORIG-COUNTRY": "NL",
"DIM_VOLUME_CALC_METRIC": XXX8,
"XXXXX-PACKAGING-TYPE": "X1",
"XXXXX-DESCRIPTION-1": "XXXXXXCAL XXXK",
"XXXXX-COM-CUSTOMS-VALUE": XX0,
"XXXXX-DANG-GOODS-FLAG": "X",
"Account_Number": "10000XXXX",
"country": "US",
"Location_Code": "XXM",
"HS6_CODE": "9XXXXX"
}
prediction = client.predict_record("api_endpoint_id", record_to_predict)
assert prediction['result']['prediction'] == '1', "Prediction should be 1 but is {}".format(prediction['result']['prediction'])

above code, I am testing the TEST QUERIES on API Deployer NODE

Clément_Stenac

Hi,

To use an API node, you need to create an APINodeClient instead of a DSSClient

Your code needs to be:

client = dataikuapi.APINodeClient(host, api_service_name, apiKey)
client._session.verify = False

record_to_predict = {
"XXXXX-ORIG-COUNTRY": "NL",
"DIM_VOLUME_CALC_METRIC": XXX8,
"XXXXX-PACKAGING-TYPE": "X1",
"XXXXX-DESCRIPTION-1": "XXXXXXCAL XXXK",
"XXXXX-COM-CUSTOMS-VALUE": XX0,
"XXXXX-DANG-GOODS-FLAG": "X",
"Account_Number": "10000XXXX",
"country": "US",
"Location_Code": "XXM",
"HS6_CODE": "9XXXXX"
}
prediction = client.predict_record("api_endpoint_id", record_to_predict)
assert prediction['result']['prediction'] == '1', "Prediction should be 1 but is {}".format(prediction['result']['prediction'])

shajay12

Hi Clément_Stenac,

After adding deployer API connection code, I am getting this error at this line

prediction = client.predict_record("api_endpoint_id", record_to_predict)

ERROR:

2_deploy_dev/test_dev.py:34: in <module>
prediction = client.predict_record("api_endpoint_id", record_to_predict)
/usr/local/lib/python3.6/dist-packages/dataikuapi/apinode_client.py:54: in predict_record
return self._perform_json("POST", "%s/predict" % endpoint_id, body = obj)
/usr/local/lib/python3.6/dist-packages/dataikuapi/base_client.py:41: in _perform_json
return self._perform_http(method, path, params, body, False).json()
/usr/local/lib/python3.6/dist-packages/dataikuapi/base_client.py:27: in _perform_http
auth=auth, stream = stream)
/usr/local/lib/python3.6/dist-packages/requests/sessions.py:522: in request
resp = self.send(prep, **send_kwargs)
/usr/local/lib/python3.6/dist-packages/requests/sessions.py:636: in send
adapter = self.get_adapter(url=request.url)
/usr/local/lib/python3.6/dist-packages/requests/sessions.py:727: in get_adapter
raise InvalidSchema("No connection adapters were found for '%s'" % url)
E requests.exceptions.InvalidSchema: No connection adapters were found for '-o/public/api/v1/--host=https://apideployer-01.design.dataiku.fedex.com:11000//api_endpoint_id/predict'

CODE: Here is the first code. The first predict_record should pass and the second should fail, as in the second, one row is missing.

import dataikuapi
import sys

host = sys.argv[2]
apiKey = sys.argv[3]
api_service_id = sys.argv[4]
api_endpoint_id = sys.argv[5]
api_dev_infra_id = sys.argv[6]

client = dataikuapi.APINodeClient(host, api_service_id, apiKey)
client._session.verify = False
record_to_predict = {
    "XXXXX-ORIG-XXXXXXX": "XXXX",
    "DIM_XXXXXXXXXXRIC": XXXX,
    "XXXXX-XXXXXXXXXPE": "XX",
    "XXXXX-DESCRIPTION-1": "XXXXXXXXXXCK",
    "XXXXX-XXXXXXXXXXUE": 10XX,
    "XXXXX-XXXXXXXXXXX": "X",
    "XXXXXXXXNumber": "XXXXXXXX",
    "XXXXXXX": "UXX",
    "XXXXXXXXode": "XXX",
    "XXXXXXX": "XXXXX0"
}
prediction = client.predict_record("api_endpoint_id", record_to_predict)
assert prediction['result']['prediction'] == '1', "Prediction should be 1 but is {}".format(prediction['result']['prediction'])

record_to_predict = {
    "DIM_XXXXXXXXXXXTRIC": XXXXX,
    "XXXXX-XXXXXXXXX-TYPE": "01",
    "XXXXX-DXXXXXXXXON-1": "XXXXXXXXXXCK",
    "XXXXX-COM-XXXXXXXX-VALUE": XXX,
    "XXXXX-XXXXXXXX-XXXX": "X",
    "XXXXXXXXer": "XXXXXXX50",
    "coXXXXXX": "XX",
    "XXXXXXXXode": "MEMXXX",
    "XXXXXX": "9XXXXXX0"
}
prediction = client.predict_record("api_endpoint_id", record_to_predict)
assert prediction['result']['ignored'] == True , "Request status status should be ignored = true is {}".format(prediction['result'])

assert prediction['result']['ignoreReason'] == "IGNORED_BY_MODEL" , "Reason should be IGNORED_BY_MODELbut is {}".format(prediction['result'])

The error also attached