Deploy a AUTOML NL Trainned Model Fails - automl

Question

I'm working with Google Auto ML Natural Language API.
I have already a trained model.
In the beginning, when I trained the model, it was deployed and everything was fine. According with Google's new rules from 22th January 2019, models that have no prediction traffic for 7 or more weeks will be silently undeployed and archived.
At moment, I can't predict any result with that trained model, because it is undeployed as it was probably unused for 7 weeks.
Also according to Google if id like to continue using the model I should redeploy it using the Deploy API.
https://cloud.google.com/natural-language/automl/docs/models#deploying_or_undeploying_a_model
I try to redeploy the model and I get an error so I can't make any prediction.
How can I deploy a model, without errors, in order to begin predict results?
So, I'll show the steps that I made to try to solve this problem:
Run deploy request with right data.
Run operations request
Wait for deployment to finish
Run operations request again
Show list of models that I have (It's UNDEPLOYED)
1
https://automl.googleapis.com/v1beta1/projects/{project}/locations/{location}/models/{Model ID}:deploy
{
"name": "projects/{project}/locations/{location}/operations/{Model ID}",
"metadata": {
"#type": "type.googleapis.com/google.cloud.automl.v1beta1.OperationMetadata",
"createTime": {Time},
"updateTime": {Time}
}
}
2 and 4
https://automl.googleapis.com/v1beta1/projects/{project}/locations/{location}/operations
"operations": [
{
"name": "projects/{project}/locations/{location}/operations/{Model ID}",
"metadata": {
"#type": "type.googleapis.com/google.cloud.automl.v1beta1.OperationMetadata",
"createTime": {Time},
"updateTime": "{Time},
"progressPercent": 100
},
"done": true,
"error": {
"code": 4
}
}
]
5
https://automl.googleapis.com/v1beta1/projects/{project}/locations/{location}/models
"model": [
{
"name": "projects/{project}/locations/{location}/models/{Model ID}",
"displayName": {name},
"datasetId": {dataset id},
"createTime": {time},
"deploymentState": "UNDEPLOYED",
"updateTime": {time},
"textClassificationModelMetadata": {}
}
]
So, I was expecting 0 errors in operations request, when the model finished the deployment progress, but it shows an error code 4. I have searched this error code 4 in this provided enum: https://github.com/googleapis/googleapis/blob/master/google/rpc/code.proto
For error code 4:
// The deadline expired before the operation could complete. For operations
// that change the state of the system, this error may be returned
// even if the operation has completed successfully. For example, a
// successful response from a server could have been delayed long
// enough for the deadline to expire.
//
// HTTP Mapping: 504 Gateway Timeout
DEADLINE_EXCEEDED = 4;
I don't know why this timeout is happening.
I already search in Quotas Limits, but everything is fine.

Answer 1

This problem should be resolved now. Sorry about the inconvenience, but your model should be deployable now. Please try and write back if you still see an issue.