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Merge pull request #651 from klalit/master
Allow User Defined Exceptions
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Original file line number | Diff line number | Diff line change |
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import json | ||
import numpy as np | ||
from google.protobuf import json_format | ||
import base64 | ||
import tensorflow as tf | ||
from tensorflow.core.framework.tensor_pb2 import TensorProto | ||
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from seldon_core.wrapper import get_rest_microservice, SeldonModelGRPC, get_grpc_server | ||
from seldon_core.proto import prediction_pb2 | ||
from seldon_core.user_model import SeldonComponent | ||
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import flask | ||
from flask import jsonify | ||
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class UserCustomException(Exception): | ||
status_code = 404 | ||
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def __init__(self, message, application_error_code,http_status_code): | ||
Exception.__init__(self) | ||
self.message = message | ||
if http_status_code is not None: | ||
self.status_code = http_status_code | ||
self.application_error_code = application_error_code | ||
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def to_dict(self): | ||
rv = {"status": {"status": self.status_code, "message": self.message, | ||
"app_code": self.application_error_code}} | ||
return rv | ||
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class UserObject(SeldonComponent): | ||
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model_error_handler = flask.Blueprint('error_handlers', __name__) | ||
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@model_error_handler.app_errorhandler(UserCustomException) | ||
def handleCustomError(error): | ||
response = jsonify(error.to_dict()) | ||
response.status_code = error.status_code | ||
return response | ||
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def __init__(self, metrics_ok=True, ret_nparray=False, ret_meta=False): | ||
self.metrics_ok = metrics_ok | ||
self.ret_nparray = ret_nparray | ||
self.nparray = np.array([1, 2, 3]) | ||
self.ret_meta = ret_meta | ||
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def predict(self, X, features_names, **kwargs): | ||
raise UserCustomException('Test-Error-Msg',1402,402) | ||
return X | ||
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class UserObjectLowLevel(SeldonComponent): | ||
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model_error_handler = flask.Blueprint('error_handlers', __name__) | ||
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@model_error_handler.app_errorhandler(UserCustomException) | ||
def handleCustomError(error): | ||
response = jsonify(error.to_dict()) | ||
response.status_code = error.status_code | ||
return response | ||
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def __init__(self, metrics_ok=True, ret_nparray=False): | ||
self.metrics_ok = metrics_ok | ||
self.ret_nparray = ret_nparray | ||
self.nparray = np.array([1, 2, 3]) | ||
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def predict_rest(self, request): | ||
raise UserCustomException('Test-Error-Msg',1402,402) | ||
return {"data": {"ndarray": [9, 9]}} | ||
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def test_raise_exception(): | ||
user_object = UserObject() | ||
app = get_rest_microservice(user_object) | ||
client = app.test_client() | ||
rv = client.get('/predict?json={"data":{"names":["a","b"],"ndarray":[[1,2]]}}') | ||
j = json.loads(rv.data) | ||
print(j) | ||
assert rv.status_code == 402 | ||
assert j["status"]["app_code"] == 1402 | ||
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def test_raise_eception_lowlevel(): | ||
user_object = UserObjectLowLevel() | ||
app = get_rest_microservice(user_object) | ||
client = app.test_client() | ||
rv = client.get('/predict?json={"data":{"ndarray":[1,2]}}') | ||
j = json.loads(rv.data) | ||
print(j) | ||
assert rv.status_code == 402 | ||
assert j["status"]["app_code"] == 1402 | ||
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