Facing this issue with my Google Cloud Functions where from the very first function that I deployed to the ones I'm to upgrade today, are all saying the same thing on their status.
"Function is active, but the last deploy failed"
What may this be?
Here's the log visible for updating the function on the log explorer.
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"status": {},
"authenticationInfo": {
"principalEmail": "start#pyme.team"
},
"serviceName": "cloudfunctions.googleapis.com",
"methodName": "google.cloud.functions.v1.CloudFunctionsService.UpdateFunction",
"resourceName": "projects/pyme-webapp/locations/us-central1/functions/applicationSubmitted"
},
"insertId": "d1k3hyd3jfe",
"resource": {
"type": "cloud_function",
"labels": {
"region": "us-central1",
"function_name": "applicationSubmitted",
"project_id": "pyme-webapp"
}
},
"timestamp": "2022-02-02T20:23:05.726462Z",
"severity": "NOTICE",
"logName": "projects/pyme-webapp/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "operations/cHltZS13ZWJhcHAvdXMtY2VudHJhbDEvYXBwbGljYXRpb25TdWJtaXR0ZWQvaWdGS2o4bXpjbDA",
"producer": "cloudfunctions.googleapis.com",
"last": true
},
"receiveTimestamp": "2022-02-02T20:23:06.263576440Z"
}
Similarly, all I see on the log in the function itself is:
Image of the Function Log itself available
The exact error that I am seeing and am concerned about and with is this: Function Error with ORANGE HAZARD on update
Attaching another, even more detailed update log as well.
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"authenticationInfo": {
"principalEmail": "start#pyme.team"
},
"requestMetadata": {
"callerIp": "80.83.136.68",
"callerSuppliedUserAgent": "FirebaseCLI/10.0.1,gzip(gfe),gzip(gfe)",
"requestAttributes": {
"time": "2022-02-02T20:21:00.491300Z",
"auth": {}
},
"destinationAttributes": {}
},
"serviceName": "cloudfunctions.googleapis.com",
"methodName": "google.cloud.functions.v1.CloudFunctionsService.UpdateFunction",
"authorizationInfo": [
{
"resource": "projects/pyme-webapp/locations/us-central1/functions/workContracts",
"permission": "cloudfunctions.functions.update",
"granted": true,
"resourceAttributes": {}
}
],
"resourceName": "projects/pyme-webapp/locations/us-central1/functions/workContracts",
"request": {
"updateMask": "name,sourceUploadUrl,entryPoint,runtime,labels,httpsTrigger,availableMemoryMb,environmentVariables,sourceToken",
"function": {
"runtime": "nodejs16",
"availableMemoryMb": 512,
"entryPoint": "workContracts",
"name": "projects/pyme-webapp/locations/us-central1/functions/workContracts",
"sourceUploadUrl": "https://storage.googleapis.com/gcf-upload-us-central1-d393f99f-6b88-4b68-8202-d75b734aa7a1/64b2646f-35b6-4919-8e89-c662fc29f01f.zip?GoogleAccessId=service-748321615979#gcf-admin-robot.iam.gserviceaccount.com&Expires=1643835053&Signature=McjqD9mmo%2F1wLbvO6SklkHi%2B34nQEwcpz7cLOLNAF4RwG8bpHh8RThxFJwnGZo1F92iQnquRQyGYbJFuihP%2FUGrgW7cG6GmhVq2gkugDywngZXT9d7UTBG0wgKF29XcbZkwV3IX7oKKiUwf6Q6mzCOOoCrjc5LBxqJo9WvWDZynv8R75nVZTZ5IhekMdqAw%2BRvIBvooXa%2BuA3Sezhh%2Bz2BR1XtIyS21CY%2FkoPDaKPwvftr3%2Fjcyuzb2V39%2BSajQg3t0U7Gt6oSch9qUhl6gnknr6wphFGmC7t7h9l0LUbjHUDuaMNNoB1LXxI30CRNkRupf9XBKTKpKMf%2F0nAAMltA%3D%3D",
"httpsTrigger": {},
"labels": {
"deployment-tool": "cli-firebase"
}
},
"#type": "type.googleapis.com/google.cloud.functions.v1.UpdateFunctionRequest"
},
"resourceLocation": {
"currentLocations": [
"us-central1"
]
}
},
"insertId": "1g6c2gwd46lm",
"resource": {
"type": "cloud_function",
"labels": {
"region": "us-central1",
"function_name": "workContracts",
"project_id": "pyme-webapp"
}
},
"timestamp": "2022-02-02T20:21:00.307699Z",
"severity": "NOTICE",
"logName": "projects/pyme-webapp/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "operations/cHltZS13ZWJhcHAvdXMtY2VudHJhbDEvd29ya0NvbnRyYWN0cy96bHlTLUtwbzI2VQ",
"producer": "cloudfunctions.googleapis.com",
"first": true
},
"receiveTimestamp": "2022-02-02T20:21:00.985842395Z"
}
If this isn't the log to look for, just let me know what to find but I'd appreciate the help.
So turns out today morning, I login and check and everything is fine. I still have no logs stating the exact cause of the error but the same functions, the same code and the exact same deployment methods have worked and the function seems to be working fine.
This is concerning as separate cloud functions should never ever be changing on deployments.
A cloud function which takes in a POST METHOD and send data to SendGrid for example has nothing to do with a cloud function triggered by updates to the Firestore Database and if they're both deployed since the 5th of January and never touched again (in terms of edits), they should not be showing the same deployment error message across the board.
my temporal solution is to delete the function then deploy. It seems like it cannot be deployed while in use, i'm sorry i couldn't provide a better solution i will edit it as soon as possible.
Related
The Human-in-the-Loop configuration Wizard for the "Contract Processor" in US region has failed while applying the configuration made from the Console, with the following error in the Console error logs.
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"status": {
"code": 5,
"message": "Processor type not found for getting predefined fields for validation criteria: 48"
},
"authenticationInfo": {
"principalEmail": "XXX"
},
"requestMetadata": {
"requestAttributes": {},
"destinationAttributes": {}
},
"serviceName": "documentai.googleapis.com",
"methodName": "google.cloud.documentai.uiv1beta3.DocumentProcessorService.UpdateHumanReviewConfig",
"resourceName": "projects/XXX/locations/us/processors/3e85a4841d13ce5/humanReviewConfig"
},
"insertId": "dlpi8nb10",
"resource": {
"type": "audited_resource",
"labels": {
"project_id": "aptsonicxx",
"service": "documentai.googleapis.com",
"method": "google.cloud.documentai.uiv1beta3.DocumentProcessorService.UpdateHumanReviewConfig"
}
},
"timestamp": "2023-01-16T18:31:21.160785363Z",
"severity": "ERROR",
"logName": "projects/XXX/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "projects/XXX/locations/us/operations/5578187298605838878",
"producer": "documentai.googleapis.com",
"last": true
},
"receiveTimestamp": "2023-01-16T18:31:22.140730942Z"
}
Since then, I am stuck, unable to modify or to amend the configuration. "Manage Configuration" leads to the threshold and results folder settings, with the confirmation button or cancel not having any effect.
Have I missed something?
As #HoltSkinner as mentioned, this is a confirmed bug/issue and has already been reported internally to the development team.
You may follow this Public Issue Tracker for this specific issue and click on +1 to bring more attention to the issue.
Posting the answer as community wiki for the benefit of the community that might encounter this use case in the future.
Feel free to edit this answer for additional information.
I'm struggling to deploy my cloud function. I'm unsure what information to provide. My set up:
# main.py
def callRequest():
print("bla")
return(1)
Entry point for the function is callRequest.
After failing to deploy I see this red highlighted message under details:
Deployment failure:
Build failed: {"metrics":{},"error":{"buildpackId":"","buildpackVersion":"","errorType":"OK","canonicalCode":"OK","errorId":"","errorMessage":""},"stats":[{"buildpackId":"google.utils.archive-source","buildpackVersion":"0.0.1","totalDurationMs":47,"userDurationMs":46},{"buildpackId":"google.python.runtime","buildpackVersion":"0.9.1","totalDurationMs":9487,"userDurationMs":6307},{"buildpackId":"google.python.functions-framework","buildpackVersion":"0.9.6","totalDurationMs":53,"userDurationMs":52},{"buildpackId":"google.python.pip","buildpackVersion":"0.9.2","totalDurationMs":5832,"userDurationMs":5822},{"buildpackId":"google.utils.label","buildpackVersion":"0.0.2","totalDurationMs":0,"userDurationMs":0}],"warnings":null,"customImage":false}
In the logs I see a notice related to the attempted deploy:
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"authenticationInfo": {
"principalEmail": "myname#bla.com"
},
"requestMetadata": {
"callerIp": "152.170.106.184",
"callerSuppliedUserAgent": "Mozilla/5.0 (X11; Linux x86_64; rv:108.0) Gecko/20100101 Firefox/108.0,gzip(gfe),gzip(gfe)",
"requestAttributes": {
"time": "2023-01-11T13:15:30.667011Z",
"auth": {}
},
"destinationAttributes": {}
},
"serviceName": "cloudfunctions.googleapis.com",
"methodName": "google.cloud.functions.v1.CloudFunctionsService.UpdateFunction",
"authorizationInfo": [
{
"resource": "projects/my-project/locations/us-central1/functions/ga4-to-s3-1",
"permission": "cloudfunctions.functions.update",
"granted": true,
"resourceAttributes": {}
}
],
"resourceName": "projects/my-project/locations/us-central1/functions/ga4-to-s3-1",
"request": {
"updateMask": "entryPoint,sourceUploadUrl",
"#type": "type.googleapis.com/google.cloud.functions.v1.UpdateFunctionRequest",
"function": {
"name": "projects/my-project/locations/us-central1/functions/ga4-to-s3-1",
"runtime": "python39",
"serviceAccountEmail": "my-project#appspot.gserviceaccount.com",
"availableMemoryMb": 256,
"maxInstances": 3000,
"timeout": "60s",
"eventTrigger": {
"eventType": "google.pubsub.topic.publish",
"resource": "projects/my-project/topics/ga4-daily-extract-complete"
},
"secretEnvironmentVariables": [
{
"version": "latest",
"key": "PAT",
"secret": "PAT-GA4-S3-Extract",
"projectId": "1234567"
}
],
"sourceUploadUrl": "https://storage.googleapis.com/uploads-1234567.us-central1.cloudfunctions.appspot.com/123-456-789-abc-def.zip?GoogleAccessId=service-123456789#gcf-admin-robot.iam.gserviceaccount.com&Expires=12345&Signature=kjhgfghjkjhg%iuytfrghj8765467uhgfdfghj",
"entryPoint": "callRequest",
"ingressSettings": "ALLOW_ALL"
}
},
"resourceLocation": {
"currentLocations": [
"us-central1"
]
}
},
"insertId": "nlbq4xd9dhq",
"resource": {
"type": "cloud_function",
"labels": {
"project_id": "my-project",
"function_name": "ga4-to-s3-1",
"region": "us-central1"
}
},
"timestamp": "2023-01-11T13:15:30.423213Z",
"severity": "NOTICE",
"logName": "projects/my-project/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "operations/Z2E0LWV4dHJhY3QvdXMtY2VudHJhbDEvZ2E0LXRvLXMzLTEvbHA2QlowNzBTekk",
"producer": "cloudfunctions.googleapis.com",
"first": true
},
"receiveTimestamp": "2023-01-11T13:15:31.626931279Z"
}
I'm unsure where else to look? Any pointers or advice most welcome.
Found the similar issue discussed here and the issue resolved.
cloud build service account was missing the Cloud Build Service Account role.
I tried removing the Cloud Build Service Account role and deployed the function, I also got the same deployment errors
Try adding the Cloud Build Service Account role for the Google Cloud Build Service Account (project-number#cloudbuild.gserviceaccount.com) in the Google Cloud IAM console . This fixed symptom of a cloud function deploy with the message:
message=Build failed: {
"metrics":{},
"error":{
"buildpackId":"",
"buildpackVersion":"",
"errorType":"OK",
"canonicalCode":"OK",
"errorId":"",
"errorMessage":""
}
}
Also have a look at this github link1 & link2 which might help
We're trying to deploy firebase functions and we continuously have this error: The service has encountered an error during container import. Please try again late
Here's a video overview: https://www.loom.com/share/9afb2facb5e3461ebef74e7e802a2761
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"status": {
"code": 14,
"message": "The service has encountered an error during container import. Please try again later"
},
"authenticationInfo": {},
"serviceName": "cloudfunctions.googleapis.com",
"methodName": "google.cloud.functions.v1.CloudFunctionsService.UpdateFunction",
"resourceName": "projects/voypost-matching-prod/locations/europe-west3/functions/createFromJobPubSub"
},
"insertId": "-wq3kwnb2c",
"resource": {
"type": "cloud_function",
"labels": {
"project_id": "voypost-matching-prod",
"function_name": "createFromJobPubSub",
"region": "europe-west3"
}
},
"timestamp": "2023-01-07T16:39:01.688761Z",
"severity": "ERROR",
"logName": "projects/voypost-matching-prod/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "operations/dm95cG9zdC1tYXRjaGluZy1wcm9kL2V1cm9wZS13ZXN0My9jcmVhdGVGcm9tSm9iUHViU3ViL0pOaGkxYW9zMWxj",
"producer": "cloudfunctions.googleapis.com",
"last": true
},
"receiveTimestamp": "2023-01-07T16:39:02.021123649Z"
}
As per this doc, it may be due to non-utf8 characters, but there are none (checked using https://stackoverflow.com/a/41741313 grep -axv '.*' ./lib/**/*.js)
It failed 3 times in a row and continues failing. And every time it fails on the same functions.
There is always only one deployment ongoing - we don't run multiple firebase functions deploy at the same time.
The original discussion is on their github, but we were refered here.
I have been using Logs Explorer to inspect my Firebase Google Cloud Function.
The cloud function works as expected, so I was surprised to find various DEBUG severity logs in Logs Explorer.
Also when looking at those logs there isn't any clear information for the cause or problem.
So why am I seeing these DEBUG severity logs and what do they mean?
Here is a screenshot of the DEBUG logs in Logs Explorer:
And here are the payloads of each DEBUG log:
DEBUG log 1:
{
"textPayload": "Function execution started",
"insertId": "000000-8ce5e770-7b77-4a3b-b117-d1da870c625c",
"resource": {
"type": "cloud_function",
"labels": {
"project_id": "agentcake-app-75f12",
"region": "us-central1",
"function_name": "getZohoDeskTicketsLoggedInUser"
}
},
"timestamp": "2022-04-01T07:22:43.908875861Z",
"severity": "DEBUG",
"labels": {
"execution_id": "algpjnkt4jk5"
},
"logName": "projects/agentcake-app-75f12/logs/cloudfunctions.googleapis.com%2Fcloud-functions",
"trace": "projects/agentcake-app-75f12/traces/499b082c83a571995237fe47e65243d1",
"receiveTimestamp": "2022-04-01T07:22:54.727147697Z"
}
DEBUG log 2:
{
"textPayload": "Function execution took 39 ms, finished with status code: 204",
"insertId": "000000-8f0e70dd-10c4-4d0a-a319-f73ce04f4f33",
"resource": {
"type": "cloud_function",
"labels": {
"project_id": "agentcake-app-75f12",
"function_name": "getZohoDeskTicketsLoggedInUser",
"region": "us-central1"
}
},
"timestamp": "2022-04-01T07:22:43.947441971Z",
"severity": "DEBUG",
"labels": {
"execution_id": "algpjnkt4jk5"
},
"logName": "projects/agentcake-app-75f12/logs/cloudfunctions.googleapis.com%2Fcloud-functions",
"trace": "projects/agentcake-app-75f12/traces/499b082c83a571995237fe47e65243d1",
"receiveTimestamp": "2022-04-01T07:22:54.727147697Z"
}
DEBUG log 3:
{
"textPayload": "Function execution started",
"insertId": "000000-1252ca30-6f7a-477f-9845-ed1c06ad9d25",
"resource": {
"type": "cloud_function",
"labels": {
"region": "us-central1",
"function_name": "getZohoDeskTicketsLoggedInUser",
"project_id": "agentcake-app-75f12"
}
},
"timestamp": "2022-04-01T07:22:44.313316115Z",
"severity": "DEBUG",
"labels": {
"execution_id": "algpnb41b69d"
},
"logName": "projects/agentcake-app-75f12/logs/cloudfunctions.googleapis.com%2Fcloud-functions",
"trace": "projects/agentcake-app-75f12/traces/a78c37916b173ecac071ee290da7d968",
"receiveTimestamp": "2022-04-01T07:22:54.727147697Z"
}
DEBUG log 4:
{
"textPayload": "Function execution took 3141 ms, finished with status code: 200",
"insertId": "000000-da00728a-e2f2-45f3-a4f2-3b17a4c2ada8",
"resource": {
"type": "cloud_function",
"labels": {
"region": "us-central1",
"function_name": "getZohoDeskTicketsLoggedInUser",
"project_id": "agentcake-app-75f12"
}
},
"timestamp": "2022-04-01T07:22:47.454109349Z",
"severity": "DEBUG",
"labels": {
"execution_id": "algpnb41b69d"
},
"logName": "projects/agentcake-app-75f12/logs/cloudfunctions.googleapis.com%2Fcloud-functions",
"trace": "projects/agentcake-app-75f12/traces/a78c37916b173ecac071ee290da7d968",
"receiveTimestamp": "2022-04-01T07:22:54.727147697Z"
}
From the documentation,
Internal system messages have the DEBUG log level.
As mentioned in this document, the DEBUG log levels in the Cloud Functions log are just the internal system messages i.e. when your execution started, the status of the function execution, the time taken for function execution etc it is recorded as DEBUG log level. So even if your Cloud Functions does not have any error and works fine, it will have the DEBUG logs.
I'm receiving "I'm unable to reach the requested skill" message from an Alexa dashboard testing console for the skill that used to work before (with no modifications to any underlying infrastructure or code).
Here's the error obtained from Alexa's device logs:
{
"header": {
"namespace": "SkillDebugger",
"name": "CaptureError",
"messageId": "57d00be6-19d6-4529-b0b1-4c5d6c2760ac"
},
"payload": {
"skillId": "amzn1.ask.skill.db1bac88-183d-409c-9d3e-0e69fa0f5fe2",
"timestamp": "2018-09-27T19:11:51.066Z",
"dialogRequestId": "d9ec106d-2ef2-4526-a156-f4714ce5d034",
"skillRequestId": "amzn1.echo-api.request.1e166266-56e1-4c51-b40a-3ceb144f997f",
"code": "SKILL_ENDPOINT_ERROR",
"description": "An error occurred while issuing a SpeechletRequest for (requestId [amzn1.echo-api.request.1e166266-56e1-4c51-b40a-3ceb144f997f]",
"debuggingInfo": {
"type": "SkillExecutionInfo",
"content": {
"invocationRequest": {
"endpoint": "https://emptio.serveo.net/abc/api/v1/alexa",
"body": {
"version": "1.0",
"session": {
"new": false,
"sessionId": "amzn1.echo-api.session.bfc02d53-fe83-4c70-b731-ea7ede99d20a",
"application": {
"applicationId": "amzn1.ask.skill.db1bac88-183d-409c-9d3e-0e69fa0f5fe2"
},
"user": {
"userId": "amzn1.ask.account.AGX2NO3NXXDS6NLEZMDZXMRZZPJ3DLEERYK7J3NUPFUYRADFB2HRILB7BZVTN336OFVSNFFUP3VDVFHERK5PKQE5H32EQ5GGWTT67EMDQKP22Q7NTXXNYDUTYNCYI6EJUEODQ54VHKW4JSWVCS7JINWLYH2LICQVETFGZBY6NBDJVEX66VCGCZMRTFZYAG2E3IXDPMPVF3U4VMY",
"accessToken": "Atza|IwEBIM_YZylf-iVoydW0WhXTS4ykk6oA0FwI9Aa7Pdz_pysLPaL1AJwQLXA-Y1GJabHTWMJxfDEKyIiLFuxEPnTxuYaEDyany7WXzHMOd0-iiD9lYBxE6rIXkC3Z-I5PYU6DQtkT6DHxbusrkyGTb1bSfbznIaaFat3yNvKY9mXaNHEEhuuPRZJkXjffBA9WKzWrkGetOdHVvo-PLw2w9rWUiQQuJ6ryzQjugYILyCuTry3qz8lvqWGxYX0XB3dx_CGuzjEnNP0-X2ozhLXN8cBjtBrl7MlTffNyo6K94vi24-16bdIdFZG3mVL_bKSCXzAx2qzPJvBCn953FrPVw9zd7CtOintRSBDZ9Aw_QgKqTklliWTBP_8uRqq_nuMB8s992-Yhi6Zb-k7VvyYp7oLtJ8ggRqRlRk9vS4HBxyfKCxvfXmvlmZJlAtGjec_-Bx8UB2pf1ZH0xi-2LYpezVh2e7dgWenKU0PHvtduprVtpO4E72148mddcYyQRzAEdk8LYQx1SiamYY64_qmkv14h1qBPUIQPuv3MFt2PB7Mhm6cVTA"
}
},
"context": {
"System": {
"application": {
"applicationId": "amzn1.ask.skill.db1bac88-183d-409c-9d3e-0e69fa0f5fe2"
},
"user": {
"userId": "amzn1.ask.account.AGX2NO3NXXDS6NLEZMDZXMRZZPJ3DLEERYK7J3NUPFUYRADFB2HRILB7BZVTN336OFVSNFFUP3VDVFHERK5PKQE5H32EQ5GGWTT67EMDQKP22Q7NTXXNYDUTYNCYI6EJUEODQ54VHKW4JSWVCS7JINWLYH2LICQVETFGZBY6NBDJVEX66VCGCZMRTFZYAG2E3IXDPMPVF3U4VMY",
"accessToken": "Atza|IwEBIM_YZylf-iVoydW0WhXTS4ykk6oA0FwI9Aa7Pdz_pysLPaL1AJwQLXA-Y1GJabHTWMJxfDEKyIiLFuxEPnTxuYaEDyany7WXzHMOd0-iiD9lYBxE6rIXkC3Z-I5PYU6DQtkT6DHxbusrkyGTb1bSfbznIaaFat3yNvKY9mXaNHEEhuuPRZJkXjffBA9WKzWrkGetOdHVvo-PLw2w9rWUiQQuJ6ryzQjugYILyCuTry3qz8lvqWGxYX0XB3dx_CGuzjEnNP0-X2ozhLXN8cBjtBrl7MlTffNyo6K94vi24-16bdIdFZG3mVL_bKSCXzAx2qzPJvBCn953FrPVw9zd7CtOintRSBDZ9Aw_QgKqTklliWTBP_8uRqq_nuMB8s992-Yhi6Zb-k7VvyYp7oLtJ8ggRqRlRk9vS4HBxyfKCxvfXmvlmZJlAtGjec_-Bx8UB2pf1ZH0xi-2LYpezVh2e7dgWenKU0PHvtduprVtpO4E72148mddcYyQRzAEdk8LYQx1SiamYY64_qmkv14h1qBPUIQPuv3MFt2PB7Mhm6cVTA"
},
"device": {
"deviceId": "amzn1.ask.device.AGUTTO7VCXPCUUSXNDCNO6LK7LZHUKPDGZBOXUOBNRNOBGD7FHBJWHOK3LJNQX4U47HTFLUXJ6MHBL6V7UCDNTWOMBJIP5R4R2ZVK3XJX42PEZG6J6TCS3U7NSYZZ3PDCUSH22CY7LYGNIK2MGXCUGR4ITQQ",
"supportedInterfaces": {}
},
"apiEndpoint": "https://api.amazonalexa.com",
"apiAccessToken": "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiIsImtpZCI6IjEifQ.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.LzPCt8QPxkEa5jFK3IMGMQLWS3vXOopyGKBu0cAy1cnJzAk7wnbKwc9eyQYDMr3uH7MyHr4s7xUKpWlvspGOAL3LqKxFbxqpB5zIjhKifqdGQhB_nurOAjeyZOipZ0ZhSuPN9fqTwp7zwca4LdYz6Kuahklz7D7pU7ICNI1DNqNKDx9HmyWbJIwXWL3MvS9sEujDo15oTdiueNaCbC7kLnPi0adrukHy3J6HVN_XjWS5mSSawuObgiT2b9eLm4qntoMG7MnDTSrzxmhKgXm3WrbFxRW_ZKE3uu1wa7-412f8DPxvbVZkeYDRwWMTO8s7BtnzjPcKEcT6daLXKRgpVw"
}
},
"request": {
"type": "SessionEndedRequest",
"requestId": "amzn1.echo-api.request.1e166266-56e1-4c51-b40a-3ceb144f997f",
"timestamp": "2018-09-27T19:11:47Z",
"locale": "en-US",
"reason": "ERROR",
"error": {
"type": "INVALID_RESPONSE",
"message": "An exception occurred while dispatching the request to the skill."
}
}
}
},
"invocationResponse": null,
"metrics": {
"skillExecutionTimeInMilliseconds": 3107
}
}
}
}
}
As is seen from the above response, the skill is configured with an endpoint: https://emptio.serveo.net/abc/api/v1/alexa which is perfectly reachable.
Again, the same exact skill used to work just yesterday. The invocation name under which I am calling it used to work fine.
I'm able to reach and verify the above endpoint is functional and responsive outside Alexa, but it's somehow not reachable from the Alexa dashboard.
I'm monitoring the logs from Serveo - they don't show any activity, meaning that something is broken before the webhook is called.
What could be the reason for the error? How can I debug what is going on in the Alexa stack?
Make sure option for the endpoint's SSL certificate type is correct. You can change this in the endpoint option in the web development console.
Your host might be using a wildcard certificate so select the wildcard option, save your endpoint again - then test again using the console for reachability.