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predict_mt_model_by_doc.go
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predict_mt_model_by_doc.go
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package nlp_automl
//Licensed under the Apache License, Version 2.0 (the "License");
//you may not use this file except in compliance with the License.
//You may obtain a copy of the License at
//
//http://www.apache.org/licenses/LICENSE-2.0
//
//Unless required by applicable law or agreed to in writing, software
//distributed under the License is distributed on an "AS IS" BASIS,
//WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//See the License for the specific language governing permissions and
//limitations under the License.
//
// Code generated by Alibaba Cloud SDK Code Generator.
// Changes may cause incorrect behavior and will be lost if the code is regenerated.
import (
"github.com/aliyun/alibaba-cloud-sdk-go/sdk/requests"
"github.com/aliyun/alibaba-cloud-sdk-go/sdk/responses"
)
// PredictMTModelByDoc invokes the nlp_automl.PredictMTModelByDoc API synchronously
func (client *Client) PredictMTModelByDoc(request *PredictMTModelByDocRequest) (response *PredictMTModelByDocResponse, err error) {
response = CreatePredictMTModelByDocResponse()
err = client.DoAction(request, response)
return
}
// PredictMTModelByDocWithChan invokes the nlp_automl.PredictMTModelByDoc API asynchronously
func (client *Client) PredictMTModelByDocWithChan(request *PredictMTModelByDocRequest) (<-chan *PredictMTModelByDocResponse, <-chan error) {
responseChan := make(chan *PredictMTModelByDocResponse, 1)
errChan := make(chan error, 1)
err := client.AddAsyncTask(func() {
defer close(responseChan)
defer close(errChan)
response, err := client.PredictMTModelByDoc(request)
if err != nil {
errChan <- err
} else {
responseChan <- response
}
})
if err != nil {
errChan <- err
close(responseChan)
close(errChan)
}
return responseChan, errChan
}
// PredictMTModelByDocWithCallback invokes the nlp_automl.PredictMTModelByDoc API asynchronously
func (client *Client) PredictMTModelByDocWithCallback(request *PredictMTModelByDocRequest, callback func(response *PredictMTModelByDocResponse, err error)) <-chan int {
result := make(chan int, 1)
err := client.AddAsyncTask(func() {
var response *PredictMTModelByDocResponse
var err error
defer close(result)
response, err = client.PredictMTModelByDoc(request)
callback(response, err)
result <- 1
})
if err != nil {
defer close(result)
callback(nil, err)
result <- 0
}
return result
}
// PredictMTModelByDocRequest is the request struct for api PredictMTModelByDoc
type PredictMTModelByDocRequest struct {
*requests.RpcRequest
FileType string `position:"Query" name:"FileType"`
Product string `position:"Query" name:"Product"`
ModelId requests.Integer `position:"Query" name:"ModelId"`
FileContent string `position:"Body" name:"FileContent"`
NeedXLIFF requests.Boolean `position:"Query" name:"NeedXLIFF"`
ModelVersion string `position:"Query" name:"ModelVersion"`
}
// PredictMTModelByDocResponse is the response struct for api PredictMTModelByDoc
type PredictMTModelByDocResponse struct {
*responses.BaseResponse
RequestId string `json:"RequestId" xml:"RequestId"`
DocId string `json:"DocId" xml:"DocId"`
}
// CreatePredictMTModelByDocRequest creates a request to invoke PredictMTModelByDoc API
func CreatePredictMTModelByDocRequest() (request *PredictMTModelByDocRequest) {
request = &PredictMTModelByDocRequest{
RpcRequest: &requests.RpcRequest{},
}
request.InitWithApiInfo("nlp-automl", "2019-07-01", "PredictMTModelByDoc", "nlpautoml", "openAPI")
request.Method = requests.POST
return
}
// CreatePredictMTModelByDocResponse creates a response to parse from PredictMTModelByDoc response
func CreatePredictMTModelByDocResponse() (response *PredictMTModelByDocResponse) {
response = &PredictMTModelByDocResponse{
BaseResponse: &responses.BaseResponse{},
}
return
}