I am using google cloud-build as my CI system and Spinnaker as my CD.
I have configured cloud-build to copy my manifest and include it as an artifact.
that's my cloudbuild.yaml:
- name: 'gcr.io/cloud-builders/docker'
args: ['build', '--tag=gcr.io/$PROJECT_ID/gordion-backend:$COMMIT_SHA', '.']
- name: 'gcr.io/cloud-builders/gsutil'
args: ['cp', 'manifests/manifest.yaml', 'gs://$PROJECT_ID-kubernetes-manifests/gordion-backend/']
images: ['gcr.io/$PROJECT_ID/gordion-backend']
artifacts:
objects:
location: 'gs://${_BUCKET_NAME}/$COMMIT_SHA/'
paths: ['manifests/manifest.yaml']
When the build is over, that's the message being broadcast by pub/sub:
{
"id": "ba084f1c-494a-42c0-8499-1b84fbb30551",
"projectId": "gordion-2",
"status": "SUCCESS",
"source": {
"repoSource": {
"projectId": "gordion-2",
"repoName": "github_gordion-beam_gordion-backend",
"branchName": "feature/build-yaml"
}
},
"steps": [
{
"name": "gcr.io/cloud-builders/docker",
"args": [
"build",
"--tag=gcr.io/gordion-2/gordion-backend:936543554ad5fab4017319005413dd38beefda04",
"."
],
"timing": {
"startTime": "2019-10-04T12:03:46.996926010Z",
"endTime": "2019-10-04T12:03:57.357589900Z"
},
"pullTiming": {
"startTime": "2019-10-04T12:03:46.996926010Z",
"endTime": "2019-10-04T12:03:47.056257759Z"
},
"status": "SUCCESS"
},
{
"name": "gcr.io/cloud-builders/gsutil",
"args": [
"cp",
"manifests/manifest.yaml",
"gs://gordion-2-kubernetes-manifests/gordion-backend/"
],
"timing": {
"startTime": "2019-10-04T12:03:57.357662249Z",
"endTime": "2019-10-04T12:04:00.089381056Z"
},
"pullTiming": {
"startTime": "2019-10-04T12:03:57.357662249Z",
"endTime": "2019-10-04T12:03:57.436904050Z"
},
"status": "SUCCESS"
}
],
"results": {
"images": [
{
"name": "gcr.io/gordion-2/gordion-backend:936543554ad5fab4017319005413dd38beefda04",
"digest": "sha256:538771fe1be2abd54f6d092519c131019d64bd1001ba38138c565faa9fe343b6",
"pushTiming": {
"startTime": "2019-10-04T12:04:00.404451498Z",
"endTime": "2019-10-04T12:04:06.089323750Z"
}
}
],
"buildStepImages": [
"sha256:c0525aac022b1a92e97f9c6cf4ede4dd82979a9f014f05b2ec8843012a03aa60",
"sha256:fbd483fa382118462a136f916b17d3197325881b6d966ba82ee3a54f4b550e76"
],
"artifactManifest": "gs://gordion-manifests/gordion-2/936543554ad5fab4017319005413dd38beefda04/artifacts-ba084f1c-494a-42c0-8499-1b84fbb30551.json",
"numArtifacts": "1"
},
"createTime": "2019-10-04T12:03:32.668464866Z",
"startTime": "2019-10-04T12:03:38.343591796Z",
"finishTime": "2019-10-04T12:04:15.243708Z",
"timeout": "600s",
"images": [
"gcr.io/gordion-2/gordion-backend"
],
"artifacts": {
"images": [
"gcr.io/gordion-2/gordion-backend"
],
"objects": {
"location": "gs://gordion-manifests/gordion-2/936543554ad5fab4017319005413dd38beefda04/",
"paths": [
"manifests/manifest.yaml"
],
"timing": {
"startTime": "2019-10-04T12:04:08.060372060Z",
"endTime": "2019-10-04T12:04:12.248879364Z"
}
}
},
"logsBucket": "gs://1039931537996.cloudbuild-logs.googleusercontent.com",
"sourceProvenance": {
"resolvedRepoSource": {
"projectId": "gordion-2",
"repoName": "github_gordion-beam_gordion-backend",
"commitSha": "936543554ad5fab4017319005413dd38beefda04"
}
},
"buildTriggerId": "6b7405e7-c2db-4412-9f1a-186c7f7d5975",
"options": {
"substitutionOption": "ALLOW_LOOSE",
"logging": "LEGACY"
},
"logUrl": "https://console.cloud.google.com/gcr/builds/ba084f1c-494a-42c0-8499-1b84fbb30551?project=1039931537996",
"substitutions": {
"_BUCKET_NAME": "gordion-manifests"
},
"tags": [
"trigger-6b7405e7-c2db-4412-9f1a-186c7f7d5975"
],
"timing": {
"BUILD": {
"startTime": "2019-10-04T12:03:46.996877211Z",
"endTime": "2019-10-04T12:04:00.404416077Z"
},
"FETCHSOURCE": {
"startTime": "2019-10-04T12:03:39.677294695Z",
"endTime": "2019-10-04T12:03:46.930866092Z"
},
"PUSH": {
"startTime": "2019-10-04T12:04:00.404450167Z",
"endTime": "2019-10-04T12:04:14.358324463Z"
}
}
}
I can also see in cloud-build history that it produced 2 artifacts:
docker image
Kubernetes manifest
the manifest is located in this location:
gs://gordion-manifests/a91cb009fa184713b86eb8b532a75dc088a25713/manifest.yaml gs://"gordion-manifests
As the location of the artifact is dynamic (due to folders named after SHA), How do I consume this artifact in expected artifacts in spinnaker?
You can use wildcards in artifact's matcher.
Please refer to documentation - https://www.spinnaker.io/reference/artifacts/in-pipelines/#expected-artifacts for overall description and
https://www.spinnaker.io/reference/artifacts-with-artifactsrewrite/types/gcs-object/#in-a-trigger for GCS artifact details.
For example following matcher should handle your case (I don't have instance to test it properly):
{
"type": "gcs/object",
"name": "gs://gordion-manifests/.*/manifest.yaml"
}
Related
I'm trying to set up a deployment pipeline using CodeCommit, ECR and ECS. My pipeline passes the source and builds the image right, except for deployment phase, where it fails:
The deployment failed because the AppSpec file that specifies the deployment configuration is missing or has an invalid configuration. The input AppSpec file is a not well-formed yaml. The template cannot be parsed.
appspec.yaml is in the output of my build phase (stored inside a zip file in S3)
The following is my code pipeline:
{
"pipeline": {
"name": "dashboardpipeline",
"roleArn": "arn:aws:iam::410208438878:role/service-role/AWSCodePipelineServiceRole-us-east-2-DashBoardPipeline",
"artifactStore": {
"type": "S3",
"location": "codepipeline-us-east-2-276644567431"
},
"stages": [
{
"name": "Source",
"actions": [
{
"name": "Source",
"actionTypeId": {
"category": "Source",
"owner": "AWS",
"provider": "CodeCommit",
"version": "1"
},
"runOrder": 2,
"configuration": {
"BranchName": "master",
"OutputArtifactFormat": "CODE_ZIP",
"PollForSourceChanges": "false",
"RepositoryName": "provisions_dashboard"
},
"outputArtifacts": [
{
"name": "SourceArtifact"
}
],
"inputArtifacts": [],
"region": "us-east-2",
"namespace": "SourceVariables"
},
{
"name": "Image",
"actionTypeId": {
"category": "Source",
"owner": "AWS",
"provider": "ECR",
"version": "1"
},
"runOrder": 2,
"configuration": {
"ImageTag": "latest",
"RepositoryName": "dashboard-web-app"
},
"outputArtifacts": [
{
"name": "MyImage"
}
],
"inputArtifacts": [],
"region": "us-east-2"
}
]
},
{
"name": "Build",
"actions": [
{
"name": "Build",
"actionTypeId": {
"category": "Build",
"owner": "AWS",
"provider": "CodeBuild",
"version": "1"
},
"runOrder": 1,
"configuration": {
"ProjectName": "DashboardApplicationBuild"
},
"outputArtifacts": [
{
"name": "BuildArtifact"
}
],
"inputArtifacts": [
{
"name": "SourceArtifact"
}
],
"region": "us-east-2",
"namespace": "BuildVariables"
}
]
},
{
"name": "Deploy",
"actions": [
{
"name": "Deploy",
"actionTypeId": {
"category": "Deploy",
"owner": "AWS",
"provider": "CodeDeployToECS",
"version": "1"
},
"runOrder": 1,
"configuration": {
"AppSpecTemplateArtifact": "BuildArtifact",
"AppSpecTemplatePath": "appspec.yaml",
"ApplicationName": "dashboarddeploymentapp",
"DeploymentGroupName": "dashboardappdeploygr",
"Image1ArtifactName": "MyImage",
"Image1ContainerName": "IMAGE_URI",
"TaskDefinitionTemplateArtifact": "BuildArtifact",
"TaskDefinitionTemplatePath": "taskdef.json"
},
"outputArtifacts": [],
"inputArtifacts": [
{
"name": "BuildArtifact"
},
{
"name": "MyImage"
}
],
"region": "us-east-2"
}
]
}
],
"version": 18
},
"metadata": {
"pipelineArn": "arn:aws:codepipeline:us-east-2:410208438878:dashboardpipeline",
"created": "2022-03-14T11:52:19.525000-03:00",
"updated": "2022-03-18T11:34:14.217000-03:00"
}
}
I am getting this error after upgrading my api from .netcore2.2 to 3.1 and trying to generate using autorest with the --v3 switch
WARNING: Schema violation: Data does not match any schemas from
'oneOf'
I have tried with and without SerializeAsV2
I see from the Autorest docs that this warning is because of an supported feature.
anyOf, oneOf are not currently supported
In services.AddSwaggerGen I have
c.ParameterFilter<SwaggerEnumParameterFilter>();
c.SchemaFilter<SwaggerEnumFilter>();
where
public void Apply(OpenApiParameter parameter, ParameterFilterContext context)
{
var type = context.ApiParameterDescription.Type;
if (type.IsEnum)
parameter.Extensions.Add("x-ms-enum", new OpenApiObject
{
["name"] = new OpenApiString(type.Name),
["modelAsString"] = new OpenApiBoolean(false)
});
}
public class SwaggerEnumFilter : ISchemaFilter
{
public void Apply(OpenApiSchema model, SchemaFilterContext context)
{
if (model == null)
throw new ArgumentNullException("model");
if (context == null)
throw new ArgumentNullException("context");
if (context.Type.IsEnum)
model.Extensions.Add(
"x-ms-enum",
new OpenApiObject
{
["name"] = new OpenApiString(context.Type.Name),
["modelAsString"] = new OpenApiBoolean(false)
}
);
}
}
[update]
After upgrading to Autorest 3.0.6244 the warnings have changed to errors and the error message ends with
post > parameters > 0)
If I don't use the v3 switch I get the error
FATAL: swagger-document/individual/schema-validator - FAILED
FATAL: Error: [OperationAbortedException] Error occurred. Exiting.
Process() cancelled due to exception : [OperationAbortedException] Error occurred. Exiting.
I can see in the swagger.json that the parameters property "name" is not generating correctly. Here it contains "body" whereas previously it contained "info"
"/api/FrameLookUp": {
"post": {
"tags": [
"Frame"
],
"operationId": "FrameLookup",
"consumes": [
"application/json-patch+json",
"application/json",
"text/json",
"application/*+json"
],
"produces": [
"application/json"
],
"parameters": [
{
"in": "header",
"name": "Authorization",
"description": "access token",
"required": true,
"type": "String"
},
{
"in": "body",
"name": "body",
"schema": {
"$ref": "#/definitions/FrameRequest"
}
}
],
"responses": {
"200": {
"description": "Success",
"schema": {
"$ref": "#/definitions/FrameResponse"
}
}
}
}
},
The controller is
[Produces("application/json")]
[Authorize(AuthenticationSchemes = JwtBearerDefaults.AuthenticationScheme)]
[Route("api")]
public class FrameController : MyController
{
[ProducesResponseType(typeof(FrameResponse), StatusCodes.Status200OK)]
[HttpPost("FrameLookUp")]
public IActionResult FrameLookup([FromBody] FrameRequest info)
{
IMyResponse MyFunc(IMyRequest x) => FrameData.FrameLookUp(info);
return InnerMethod(MyFunc, info);
}
}
Update
I have also tried using the SwaggerParameter from Swashbuckle.AspNetCore.Annotations
[Update]
I am thinking that maybe I just need to try the release for issue 1766
I tried cloning the swashbuckle.aspnetcore repo but ran into this issue
[Update]
I added c.GeneratePolymorphicSchemas(); to the AddSwaggerGen options but it has not helped.
[Update]
Here is the first error message
ERROR: Schema violation: Data does not match any schemas from 'oneOf'
- https://localhost:44348/api-docs/v1/swagger.json:1951:8 ($.paths["/api/synchronise-management/get-product-images-Ids"].post.parameters)
Investigating line 1951 in swagger.json
In the working swagger ( generated from dotnet2.2 project ) the json looks very similar however the parameter order is swapped
The other difference I can see is the generated name of the parameter
I see from this question the error occurs in the same place
[Update]
when I add the --debug switch to the autorest call I get
/configuration
DEBUG: pipeline-emitter - END
DEBUG: configuration-emitter - END
DEBUG: swagger-document-override/md-override-loader - END
DEBUG: swagger-document/loader - END
DEBUG: swagger-document/individual/transform - START
DEBUG: swagger-document/individual/transform - END
DEBUG: swagger-document/individual/schema-validator - START
ERROR: Schema violation: Data does not match any schemas from 'oneOf'
- https://localhost:44348/api/v1/swagger.json:1951:8 ($.paths["/api/synchronise-management/get-product-images-Ids"].
[Update]
Here is the cut down json
{
"swagger": "2.0",
"info": {
"title": "myapi API31",
"description": "ASP.NET Core Web API",
"version": "v1"
},
"host": "localhost:44348",
"basePath": "/v1",
"schemes": [
"https"
],
"paths": {
"/api/Test": {
"get": {
"tags": [
"Auth"
],
"operationId": "Test",
"responses": {
"200": {
"description": "Success"
}
}
}
},
"/api/RequestToken": {
"post": {
"tags": [
"Auth"
],
"operationId": "RequestToken",
"consumes": [
"application/json-patch+json",
"application/json",
"text/json",
"application/*+json"
],
"produces": [
"application/json"
],
"parameters": [
{
"in": "body",
"name": "body",
"schema": {
"$ref": "#/definitions/TokenRequest"
}
}
],
"responses": {
"200": {
"description": "Success",
"schema": {
"$ref": "#/definitions/TokenResponse"
}
}
}
}
},
"/api/FrameLookUp": {
"post": {
"tags": [
"Frame"
],
"operationId": "FrameLookup",
"consumes": [
"application/json-patch+json",
"application/json",
"text/json",
"application/*+json"
],
"produces": [
"application/json"
],
"parameters": [
{
"in": "header",
"name": "Authorization",
"description": "access token",
"required": true,
"type": "String"
},
{
"in": "body",
"name": "body",
"schema": {
"$ref": "#/definitions/FrameRequest"
}
}
],
"responses": {
"200": {
"description": "Success",
"schema": {
"$ref": "#/definitions/FrameResponse"
}
}
}
}
}
},
"definitions": {
"TokenRequest": {
"required": [
"password",
"username"
],
"type": "object",
"properties": {
"username": {
"type": "string"
},
"password": {
"type": "string"
}
}
},
"TokenResponse": {
"type": "object",
"properties": {
"tokenResult": {
"type": "string"
}
}
},
"FramePackTypeEnum": {
"enum": [
"NotApplicable",
"PipeRack",
"LwBVan",
"VanTray",
"Car",
"CarryBag"
],
"type": "string",
"x-ms-enum": {
"name": "FramePackTypeEnum",
"modelAsString": false
}
},
"FrameRequest": {
"type": "object",
"properties": {
"qCodeJobId": {
"format": "int32",
"type": "integer"
},
"quantity": {
"format": "int32",
"type": "integer"
},
"widthInMm": {
"format": "int32",
"type": "integer"
},
"heightInMm": {
"format": "int32",
"type": "integer"
},
"ePackingType": {
"$ref": "#/definitions/FramePackTypeEnum"
},
"userEmail": {
"type": "string"
}
}
},
"FrameCaseEnum": {
"enum": [
"Case0_NoBraces",
"Case1_1Vertical_0Horizontal",
"Case2_2Vertical_0Horizontal",
"Case3_NVertical_0Horizontal",
"Case4_0Vertical_1Horizontal",
"Case5_1Vertical_1Horizontal",
"Case6_2Vertical_1Horizontal",
"Case7_NVertical_1Horizontal",
"Case8_0Vertical_2Horizontal",
"Case9_1Vertical_2Horizontal",
"Case10_2Vertical_2Horizontal",
"Case11_NVertical_2Horizontal",
"Case12_0Vertical_NHorizontal",
"Case13_1Vertical_NHorizontal",
"Case14_2Vertical_NHorizontal",
"Case15_NVertical_NHorizontal"
],
"type": "string",
"x-ms-enum": {
"name": "FrameCaseEnum",
"modelAsString": false
}
},
"FrameResponse": {
"type": "object",
"properties": {
"description": {
"type": "string"
},
"caseNumber": {
"$ref": "#/definitions/FrameCaseEnum"
},
"memberPriceEachExGst": {
"format": "double",
"type": "number"
},
"retailPriceEachExGst": {
"format": "double",
"type": "number"
}
}
}
}
}
With the .netcore2.2 api the request generates as
"FrameRequest": {
"type": "object",
"properties": {
"qCodeJobId": {
"format": "int32",
"type": "integer"
},
"quantity": {
"format": "int32",
"type": "integer"
},
"widthInMm": {
"format": "int32",
"type": "integer"
},
"heightInMm": {
"format": "int32",
"type": "integer"
},
"ePackingType": {
"enum": [
"NotApplicable",
"PipeRack",
"LwBVan",
"VanTray",
"Car",
"CarryBag"
],
"type": "string",
"x-ms-enum": {
"name": "FramePackTypeEnum",
"modelAsString": false
}
},
"userEmail": {
"type": "string"
}
}
}
Here is the command line I am running
autorest --input-file=.\myswagger.json --output-folder=generated --csharp --namespace=DDD --debug
Some links which the author, Kirsten Greed, put in comments:
https://github.com/domaindrivendev/Swashbuckle.AspNetCore#schema-filters
https://github.com/domaindrivendev/Swashbuckle.AspNetCore/pull/1766
https://stackoverflow.com/questions/63857310/could-not-find-a-part-of-the-path-d-dev-swashbuckle-aspnetcore-src-swashbuckle
From your swagger.json we can see the validation shows:
https://validator.swagger.io/validator/debug?url=https://raw.githubusercontent.com/heldersepu/hs-scripts/master/swagger/63783800_swagger.json
{
"schemaValidationMessages": [
{
"level": "error",
"domain": "validation",
"keyword": "oneOf",
"message": "instance failed to match exactly one schema (matched 0 out of 2)",
"schema": {
"loadingURI": "http://swagger.io/v2/schema.json#",
"pointer": "/definitions/parametersList/items"
},
"instance": {
"pointer": "/paths/~1api~1FrameLookUp/post/parameters/0"
}
}
]
}
that lead us to your code:
that type: "String" should be: type: "string" with all lower case the error goes away
I am currently developing a smart home skill for my blinds, however I am unable to discover device. Is there a way for me to validate my Discovery response message? I'm thinking this is some logical error in the JSON.
I'm using a Lambda function to perform the requests to my API using node-fetch and async/await, thus I have tagged all JS function as async, this could be another potential cause of this issue. I don't get any errors in CloudWatch either.
This is the response my Lambda function is sending:
{
"event": {
"header": {
"namespace": "Alexa.Discovery",
"name": "Discover.Response",
"payloadVersion": "3",
"messageId": "0a58ace0-e6ab-47de-b6af-b600b5ab8a7a"
},
"payload": {
"endpoints": [
{
"endpointId": "com-tobisoft-rollos-1",
"manufacturerName": "tobisoft",
"description": "Office Blinds",
"friendlyName": "Office Blinds",
"displayCategories": [
"INTERIOR_BLIND"
],
"capabilities": [
{
"type": "AlexaInterface",
"interface": "Alexa.RangeController",
"instance": "Blind.Lift",
"version": "3",
"properties": {
"supported": [
{
"name": "rangeValue"
}
],
"proactivelyReported": true,
"retrievable": true
},
"capabilityResources": {
"friendlyNames": [
{
"#type": "asset",
"value": {
"assetId": "Alexa.Setting.Opening"
}
}
]
},
"configuration": {
"supportedRange": {
"minimumValue": 0,
"maximumValue": 100,
"precision": 1
},
"unitOfMeasure": "Alexa.Unit.Percent"
},
"semantics": {
"actionMappings": [
{
"#type": "ActionsToDirective",
"actions": [
"Alexa.Actions.Close"
],
"directive": {
"name": "SetRangeValue",
"payload": {
"rangeValue": 100
}
}
},
{
"#type": "ActionsToDirective",
"actions": [
"Alexa.Actions.Open"
],
"directive": {
"name": "SetRangeValue",
"payload": {
"rangeValue": 1
}
}
},
{
"#type": "ActionsToDirective",
"actions": [
"Alexa.Actions.Lower"
],
"directive": {
"name": "AdjustRangeValue",
"payload": {
"rangeValueDelta": 10,
"rangeValueDeltaDefault": false
}
}
},
{
"#type": "ActionsToDirective",
"actions": [
"Alexa.Actions.Raise"
],
"directive": {
"name": "AdjustRangeValue",
"payload": {
"rangeValueDelta": -10,
"rangeValueDeltaDefault": false
}
}
}
],
"stateMappings": [
{
"#type": "StatesToValue",
"states": [
"Alexa.States.Closed"
],
"value": 100
},
{
"#type": "StatesToRange",
"states": [
"Alexa.States.Open"
],
"range": {
"value": 0
}
}
]
}
},
{
"type": "AlexaInterface",
"interface": "Alexa",
"version": "3"
}
]
}
]
}
}
}
Thanks for any help.
Is there a way for me to validate my Discovery response message?
Yes, you could use the Alexa Smart Home Message JSON Schema. This schema can be used for message validation during skill development, it validates Smart Home skills (except the Video Skills API).
This is the response my Lambda function is sending
I've validated your response following this steps, the result: no errors found, the JSON validates against the schema. So, there's probably another thing going on. I suggest getting in touch with Alexa Developer Contact Us
I'm trying to build an ML pipeline using AWS Step Function.
I would like to configure the 'CreateHyperParameterTuningJob' dynamically depending on the input of the task.
Here is a screenshot of the State Machine that I'm trying to build:
ML State Machine
When I try to create this State Machine, I got the following error:
The value for the field 'MaxParallelTrainingJobs' must be an INTEGER
I'm struggling to figure out what is the issue here.
Do you have any suggestion to make the SM configuration dynamic with Step Function? Is it even possible?
Here is the input data passed to the 'Run training job' task:
{
"client_id": "test",
"training_job_definition": {
"AlgorithmSpecification": {
"TrainingImage": "433757028032.dkr.ecr.us-west-2.amazonaws.com/xgboost:latest",
"TrainingInputMode": "File"
},
"ResourceConfig": {
"InstanceCount": 1,
"InstanceType": "ml.m5.large",
"VolumeSizeInGB": 5
},
"StaticHyperParameters": {
"num_round": 750
},
"StoppingCondition": {
"MaxRuntimeInSeconds": 900
},
"InputDataConfig": [
{
"ChannelName": "train",
"CompressionType": "None",
"ContentType": "csv",
"DataSource": {
"S3DataSource": {
"S3DataDistributionType": "FullyReplicated",
"S3DataType": "S3Prefix",
"S3Uri": "..."
}
}
},
{
"ChannelName": "validation",
"CompressionType": "None",
"ContentType": "csv",
"DataSource": {
"S3DataSource": {
"S3DataDistributionType": "FullyReplicated",
"S3DataType": "S3Prefix",
"S3Uri": "..."
}
}
}
],
"OutputDataConfig": {
"S3OutputPath": "..."
},
"RoleArn": "arn:aws:iam::679298748479:role/landingzone_sagemaker_role"
},
"hyper_parameter_tuning_job_config": {
"HyperParameterTuningJobObjective": {
"MetricName": "validation:rmse",
"Type": "Minimize"
},
"Strategy": "Bayesian",
"ResourceLimits": {
"MaxParallelTrainingJobs": 2,
"MaxNumberOfTrainingJobs": 10
},
"ParameterRanges": {
"ContinuousParameterRanges": [
{
"Name": "eta",
"MinValue": 0.01,
"MaxValue": 0.04
},
{
"Name": "gamma",
"MinValue": 0,
"MaxValue": 100
},
{
"Name": "subsample",
"MinValue": 0.6,
"MaxValue": 1
},
{
"Name": "lambda",
"MinValue": 0,
"MaxValue": 5
},
{
"Name": "alpha",
"MinValue": 0,
"MaxValue": 2
}
],
"IntegerParameterRanges": [
{
"Name": "max_depth",
"MinValue": 5,
"MaxValue": 10
}
]
}
}
}
Here is JSON file that describes the State Machine:
{
"StartAt": "Generate Training Dataset",
"States": {
"Generate Training Dataset": {
"Resource": "arn:aws:lambda:uswest-2:012345678912:function:StepFunctionsSample-SageMaLambdaForDataGeneration-1TF67BUE5A12U",
"Type": "Task",
"Next": "Run training job"
},
"Run training job": {
"Resource": "arn:aws:states:::sagemaker:createHyperParameterTuningJob.sync",
"Parameters": {
"HyperParameterTuningJobName.$": "$.execution_date",
"HyperParameterTuningJobConfig": {
"HyperParameterTuningJobObjective": {
"MetricName": "$.hyper_parameter_tuning_job_config.HyperParameterTuningJobObjective.MetricName",
"Type": "Minimize"
},
"Strategy": "$.hyper_parameter_tuning_job_config.Strategy",
"ResourceLimits": {
"MaxParallelTrainingJobs": "$.hyper_parameter_tuning_job_config.ResourceLimits.MaxParallelTrainingJobs",
"MaxNumberOfTrainingJobs": "$.hyper_parameter_tuning_job_config.ResourceLimits.MaxNumberOfTrainingJobs"
},
"ParameterRanges": "$.hyper_parameter_tuning_job_config.ParameterRanges"
},
"TrainingJobDefinition": {
"AlgorithmSpecification": "$.training_job_definition.AlgorithmSpecification",
"StoppingCondition": "$.training_job_definition.StoppingCondition",
"ResourceConfig": "$.training_job_definition.ResourceConfig",
"RoleArn": "$.training_job_definition.RoleArn",
"InputDataConfig": "$.training_job_definition.InputDataConfig",
"OutputDataConfig": "$.training_job_definition.OutputDataConfig",
"StaticHyperParameters": "$.training_job_definition.StaticHyperParameters"
},
"HyperParameterTuningJobConfig.ResourceLimits": ""
},
"Type": "Task",
"End": true
}
}
}
I am trying to complete a codepipeline with the cloudformation service and this error is generated. It must be said that the separate cloudformation service works well. The complete error is:
JobFailed
Requires capabilities: [CAPABILITY_AUTO_EXPAND] (Service: AmazonCloudFormation; Status Code: 400; Error Code: InsufficientCapabilitiesException; Request ID: 1a977102-f829-11e8-b5c6-f7cc8454c4d0)
The solutions I have is to add the CAPABILITY_AUTO_EXPAND --capabilities parameter but that only applies to CLI and my case is by web console.
Ran into the same problem, I could not find a way to do it through the console.
However it works well with the CLI and you can find detailed documentation on pipeline update here : https://docs.aws.amazon.com/cli/latest/reference/codepipeline/update-pipeline.html
The way I did it was :
make a get-pipeline to get the current pipeline structure
save the result as a json file
from the json file : remove the metadata section, add a capabilities attribute with your value in configuration section
use the update-pipeline command with --cli-input-json option specifying the previous json file
Sample [Note the changes marked with arrows]:
{
"pipeline": {
"roleArn": "arn:aws:iam::123456789234:role/service-role/AWSCodePipelineServiceRole-us-east-1-SAMpipeline",
"stages": [
{
"name": "Source",
"actions": [
{
"inputArtifacts": [],
"name": "Source",
"actionTypeId": {
"category": "Source",
"owner": "AWS",
"version": "1",
"provider": "CodeCommit"
},
"outputArtifacts": [
{
"name": "SourceArtifact"
}
],
"configuration": {
"PollForSourceChanges": "false",
"BranchName": "master",
"RepositoryName": "CFNrepo"
},
"runOrder": 1
}
]
},
{
"name": "Build",
"actions": [
{
"inputArtifacts": [
{
"name": "SourceArtifact"
}
],
"name": "Build",
"actionTypeId": {
"category": "Build",
"owner": "AWS",
"version": "1",
"provider": "CodeBuild"
},
"outputArtifacts": [
{
"name": "BuildArtifact"
}
],
"configuration": {
"ProjectName": "SAMproject"
},
"runOrder": 1
}
]
},
{
"name": "Deploy",
"actions": [
{
"inputArtifacts": [
{
"name": "BuildArtifact"
}
],
"name": "DeployStack",
"actionTypeId": {
"category": "Deploy",
"owner": "AWS",
"version": "1",
"provider": "CloudFormation"
},
"outputArtifacts": [],
"configuration": {
"StackName": "s5765722591-cp",
"ActionMode": "CREATE_UPDATE",
"RoleArn": "arn:aws:iam::298320596430:role/CloudFormationFullAccess",
"Capabilities": "CAPABILITY_NAMED_IAM,CAPABILITY_AUTO_EXPAND", <--------------
"TemplatePath": "BuildArtifact::template.yaml"
},
"runOrder": 1
},
{
"inputArtifacts": [
{
"name": "BuildArtifact"
}
],
"name": "DeployStack2",
"actionTypeId": {
"category": "Deploy",
"owner": "AWS",
"version": "1",
"provider": "CloudFormation"
},
"outputArtifacts": [],
"configuration": {
"StackName": "s5765722591-cp2",
"ActionMode": "CREATE_UPDATE",
"RoleArn": "arn:aws:iam::123456789234:role/CloudFormationFullAccess",
"Capabilities": "CAPABILITY_NAMED_IAM,CAPABILITY_AUTO_EXPAND", <-----------
"TemplatePath": "BuildArtifact::template.yaml"
},
"runOrder": 1
}
]
}
],
"artifactStore": {
"type": "S3",
"location": "codepipeline-us-east-1-123456789234"
},
"name": "SAMpipeline",
"version": 5
}
}