我正在尝试"包裹"；谷歌Python人工智能平台客户端(统一(到云功能。
import json
from google.cloud import aiplatform
from google.protobuf import json_format
from google.protobuf.struct_pb2 import Value
def infer(request):
"""Responds to any HTTP request.
Args:
request (flask.Request): HTTP request object.
Returns:
The response text or any set of values that can be turned into a
Response object using
`make_response <http://flask.pocoo.org/docs/1.0/api/#flask.Flask.make_response>`.
"""
request_json = request.get_json()
project="simple-1234"
endpoint_id="7106293183897665536"
location="europe-west4"
api_endpoint = "europe-west4-aiplatform.googleapis.com"
# The AI Platform services require regional API endpoints.
client_options = {"api_endpoint": api_endpoint}
# Initialize client that will be used to create and send requests.
# This client only needs to be created once, and can be reused for multiple requests.
client = aiplatform.gapic.PredictionServiceClient(client_options=client_options)
# for more info on the instance schema, please use get_model_sample.py
# and look at the yaml found in instance_schema_uri
endpoint = client.endpoint_path(
project=project, location=location, endpoint=endpoint_id
)
instance = request.json["instances"]
instances = [instance]
parameters_dict = {}
parameters = json_format.ParseDict(parameters_dict, Value())
try:
response = client.predict(endpoint=endpoint, instances=instances, parameters=parameters)
if 'error' in response:
return (json.dumps({"msg": 'Error during prediction'}), 500)
except Exception as e:
print("Exception when calling predict: ", e)
return (json.dumps({"msg": 'Exception when calling predict'}), 500)
print(" deployed_model_id:", response.deployed_model_id)
# See gs://google-cloud-aiplatform/schema/predict/prediction/tables_classification.yaml for the format of the predictions.
predictions = response.predictions
for prediction in predictions:
print(" prediction:", dict(prediction))
return (json.dumps({"prediction": response['predictions']}), 200)
当调用client.predict()时，我得到异常400
{"error": "Required property Values is not found"}
我做错了什么？
我认为您的parameters变量是不正确的，在文档示例中，该变量是这样设置的，例如：
parameters = predict.params.ImageClassificationPredictionParams(
confidence_threshold=0.5, max_predictions=5,
).to_value()
这可能就是错误显示找不到属性的原因。您必须设置自己的参数，然后调用预测方法。