FLuxMonitor locally: FROM address in transaction is wrong - ethereum

I'm trying to run decentralized-model locally. I've managed to deploy:
Link contract
AggregatorProxy
FluxAggregator
Consumer contract
Oracle node (offchain)
External adapters (coingecko + coinapi)
I'm mainly struggling for the last piece which is creating a Job which uses the FluxMonitor initiator.
I've created the following job where "0x5379A65A620aEb405C5C5338bA1767AcB48d6750" is the address of FluxAggregator contract
{
"initiators": [
{
"type": "fluxmonitor",
"params": {
"address": "0x5379A65A620aEb405C5C5338bA1767AcB48d6750",
"requestData": {
"data": {
"from": "ETH",
"to": "USD"
}
},
"feeds": [
{
"bridge": "coinapi_cl_ea"
},
{
"bridge": "coingecko_cl_ea"
}
],
"threshold": 1,
"absoluteThreshold": 1,
"precision": 8,
"pollTimer": {
"period": "15m0s"
},
"idleTimer": {
"duration": "1h0m0s"
}
}
}
],
"tasks": [
{
"type": "NoOp"
}
]
}
Unfortunately, it doesn't work, it makes my local ganache fail with this error "Error: The nonce generation function failed, or the private key was invalid"
I've put my Ganache in debug mode in order to log requests to the blockchain. Noticed the following call
eth_call
{
"jsonrpc": "2.0",
"id": 28,
"method": "eth_call",
"params": [
{
"data": "0xfeaf968c",
"from": "0x0000000000000000000000000000000000000000",
"to": "0x5379a65a620aeb405c5c5338ba1767acb48d6750"
},
"latest"
]
}
the signature of the function is correct
"latestRoundData()": "feaf968c"
However , what seems weird is that the from address is "0x0" . Any idea why my Oracle node doesn't use its key to sign the transaction?
thanks a lot

Problem from Ganache. In fact , I wrote a truffle script which:
calls "latestRoundData()" populating the "FROM" with a valid address
calls "latestRoundData()" populating the "FROM" with a 0x0 address
Then I ran the script 2 times:
Connecting to Ganache-cli --> 1st call is successful while the 2nd call fails
Connecting to Kovan testnet --> both calls are successful
I've just opened an issue for ganache-cli team: https://github.com/trufflesuite/ganache-cli/issues/840

Related

Amadeus flights API error: carrier code is a 2 or 3 alphanum except YY and YYY

I am using the following SDK to search for and purchase flights via Amadeus:
https://github.com/autotune/amadeus/pull/1/files
This was a previously abandoned project I have decided to take on and make work. As part of that project I am trying to purchase a ticket in the sandbox environment and getting the following error:
{
"errors": [
{
"code": 477,
"title": "INVALID FORMAT",
"detail": "carrier code is a 2 or 3 alphanum except YY and YYY",
"source": {
"pointer": "/data/flightOffers[0]/itineraries[1]/segments[0]/operating/carrierCode",
"example": "AF"
},
"status": 400
}
]
}
Here is the json data being sent:
{
"type": "flight-order",
"travelers": [
{
"id": "1",
"dateOfBirth": "1990-02-15",
"name": {
"firstName": "Foo",
"lastName": "Bar"
},
"gender": "MALE",
"contact": {
"emailAddress": "foo#bar.com",
"phones": [
{
"deviceType": "MOBILE",
"countryCallingCode": "33",
"number": "5555555555"
}
]
}
}
],
"ticketingAgreement": {
"option": "DELAY_TO_CANCEL",
"delay": "6D"
},
"remarks": {},
"operating": {
"carrierCode": "UA"
}
}
Any help appreciated!
The error suggests that the sent payload is invalid. I'd advice you use a tool like Curl or Postman to verify you're using the right API documentation, before debugging actual code.
After further reading your PR and checking the API reference at :
https://developers.amadeus.com/self-service/category/air/api-doc/flight-create-orders/api-reference
I think you need to confirm that the Carrier code being passed is available in the segments under:
flightOffers > itineraries > segments
Although the API reference doesn't have operating > carrierCode like you used in the data sent, my guess after seeing the API error response you shared is that they are performing a check against the flight offers passed.
I suggest you check the results gotten when you call the flightOffers and also add it to the payload sent to the sandbox.

All Google Cloud Functions fail to deploy

I have two projects in Google Cloud, both using Firebase. In Firebase I'm adding the Trigger Email extension that needs to deploy a Google Function. In one project it succeeds and the other fails. I can't seem to deploy ANY function that I write, even the simplest example.
Below is what I'm getting with one of my deploy attempts. Any help is greatly appreciated.
{
"protoPayload": {
"#type": "type.googleapis.com/google.cloud.audit.AuditLog",
"status": {
"code": 13,
"message": "Function deployment failed due to a health check failure. This usually indicates that your code was built successfully but failed during a test execution. Examine the logs to determine the cause. Try deploying again in a few minutes if it appears to be transient."
},
"authenticationInfo": {
"principalEmail": "xxxxxxxxxxxxxxxxxxx"
},
"serviceName": "cloudfunctions.googleapis.com",
"methodName": "google.cloud.functions.v1.CloudFunctionsService.UpdateFunction",
"resourceName": "projects/wod-rewards/locations/us-central1/functions/ext-firestore-send-email-processQueue"
},
"insertId": "-xxxxxxxxx",
"resource": {
"type": "cloud_function",
"labels": {
"function_name": "ext-firestore-send-email-processQueue",
"project_id": "xxxxxxxx",
"region": "us-central1"
}
},
"timestamp": "2022-02-14T20:39:25.365473Z",
"severity": "ERROR",
"logName": "projects/wod-rewards/logs/cloudaudit.googleapis.com%2Factivity",
"operation": {
"id": "operations/xxxxxxxx",
"producer": "cloudfunctions.googleapis.com",
"last": true
},
"receiveTimestamp": "2022-02-14T20:39:25.706517396Z"
}
You should check your logs for Cloud Functions in Google Cloud, might be possible that you ahve a configuration issue with your billing settings blocking you from excecute some tasks from your functions

FIWARE - Orion Context Broker as Context Provider

I'm having a hard time understanding how context providers work in the Orion Context Broker.
I followed the examples in the step-by-step guide written by Jason Fox. However, I still do not exactly get what happens in the background and how the context broker exactly creates the POST from the registration. Here is what I am trying to do:
I do have a WeatherStation that provides sensor data for a neighborhood.
{
"id": "urn:ngsi-ld:WeatherStation:001",
"type": "Device:WeatherStation",
"temperature": {
"type": "Number",
"value": 20.5,
"metadata": {}
},
"windspeed": {
"type": "Number",
"value": 60.0,
"metadata": {}
}
}
Now I like the WeatherStation to be a context provider for all buildings.
{
"id": "urn:ngsi-ld:building:001",
"type": "Building"
}
Here is the registration that I try to use.
{
"id": null,
"description": "Random Weather Conditions",
"provider": {
"http": {
"url": "http://localhost:1026/v2"
},
"supportedForwardingMode": "all"
},
"dataProvided": {
"entities": [
{
"id": "null",
"idPattern": ".*",
"type": "Building",
"typePattern": null
}
],
"attrs": [
"temperature",
"windspeed"
],
"expression": null
},
"status": "active",
"expires": null,
"forwardingInformation": null
}
The context broker accepts both entities and the registration without any error.
Since I have a multi-tenant setup I use one fiware_service for the complete neighborhood but every building would later have a seperate fiware_servicepath. Hence, the weatherstation has a different servicepath than the building. Although I also tried to put them both on the same path.
For now I used the same headers for all entities.
{
"fiware-service": "filip",
"fiware-servicepath": "/testing"
}
Here is the log of the context broker (version: 3.1.0):
INFO#2021-09-23T19:17:17.944Z logTracing.cpp[212]: Request forwarded (regId: 614cd2b511c25270060d873a): POST http://localhost:1026/v2/op/query, request payload (87 bytes): {"entities":[{"idPattern":".*","type":"Building"}],"attrs":["temperature","windspeed"]}, response payload (2 bytes): [], response code: 200
INFO#2021-09-23T19:17:17.944Z logTracing.cpp[130]: Request received: POST /v2/op/query?options=normalized%2Ccount&limit=1000, request payload (55 bytes): {"entities": [{"idPattern": ".*", "type": "Building"}]}, response code: 200
The log says that it receives the request and forwards it as expected. However, as I understand it this would simply point to the same building entity again. Hence, it is somehow a circular forwarding. I also cannot tell anything about the headers of the request.
I do not understand how the forwarded request from the building can actually query the weather station for information. When I query my building I still only receive the entity with no own properties:
{
"id": "urn:ngsi-ld:building:001",
"type": "Building"
}
I also tried to vary the url of the registration but with no success.
Is this scenario actually possible with the current implementation? It would be very useful
Is there any example for this including also the headers?
I know that I could simply use reference but that would put more work on the user.
Thanks for any help on this.
It is messy, but you could achieve this via a subscription. Hold the weather station as a separate entity in the context broker and poll or push updates into the entity. The subscription would fire whenever the data changes and make two NGSI requests:
Find all entities which have a Relationship servicedBy=WeatherStationX
Run an upsert on all entities to add a Property to each entity:
{
"temperature" : {
"type" : "Property",
"value" : 7,
"unitCode": "CEL",
"observedAt": "XXXXX",
"providedBy": "WeatherStation1"
}
}
Where observedAt comes either from the payload of the weather station or the notification timestamp.
Within the existing IoT Agents, provisioning the link attribute allows a device to propagate measures to a second entity (e.g. this Thermometer entity is measuring temperature for an associated Building entity)
{
"entity_type": "Device",
"resource": "/iot/d",
"protocol": "PDI-IoTA-UltraLight",
..etc
"attributes": [
{"object_id": "l", "name": "temperature", "type":"Float",
"metadata":{
"unitCode":{"type": "Text", "value" :"CEL"}
}
}
],
"static_attributes": [
{
"name": "controlledAsset",
"type": "Relationship",
"value": "urn:ngsi-ld:Building:001",
"link": {
"attributes": ["temperature"],
"name": "providedBy",
"type": "Building"
}
}
]
}
At the moment the logic just links direct one-to-one, but it would be possible to raise a PR to check for an Array and update multiple entities in an upsert - the relevant section of code is here

Implicit Invocation of Google Assistant Action App with DialogFlow not working

I'm getting the
"API Version 2: Failed to parse JSON response string with 'INVALID_ARGUMENT' error: \": Cannot find field.\"."
and so am hoping you can help me, as I cannot get Implicit Invoking working for my app.
I've attached screenshots of the Welcome Intent setup on DialogFLow as well as pasted the Google Cloud fail logs here:
Google Cloud FAIL LOGS:
{
"request": {
"conversationToken": "",
"debugLevel": 1,
"inputType": "KEYBOARD",
"locale": "en-US",
"mockLocation": {
"city": "Mountain View",
"coordinates": {
"latitude": 37.421980615353675,
"longitude": -122.08419799804688
},
"formattedAddress": "Googleplex, Mountain View, CA 94043, United States",
"zipCode": "94043"
},
"query": "ask follow-up to log a call",
"surface": "GOOGLE_HOME"
},
"response": {
"conversationToken": "GidzaW11bG...",
"response": "Follow up isn't responding right now. Try again soon.",
"visualResponse": {
"visualElements": []
}
},
"debug": {
"agentToAssistantDebug": {
"agentToAssistantJson": "{\"message\":\"Failed to parse Dialogflow response into AppResponse, exception thrown with message: Empty speech response\",\"apiResponse\":{\"id\":\"875b123f-bcb2-4f45-b2f4-10193a6132c3\",\"timestamp\":\"2018-01-30T06:33:52.773Z\",\"lang\":\"en-us\",\"result\":{},\"status\":{\"code\":200,\"errorType\":\"success\"},\"sessionId\":\"1517294032097\"}}"
},
"assistantToAgentDebug": {
"assistantToAgentJson": "{\"user\":{\"userId\":\"ABwppHHDarg-rpyAaSt0hm8TZaycr30xhUpQcRKfchRbXriPUKmmzi_BqQrpXInBGyGmgfF4yIEiMX0jInJ8rQ\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D3600000uHY5!AQoAQAcyjXEI.J.5EnB4.R.EdNXBKlymGOI4I6PPJVb465uyQLxnbQDyjPHtD0uE0W1RMdhnhgXLEpr8qPIMOTcnvsfKH0j\\\",\\\"signature\\\":\\\"etNbI3erh1iYmsTqCRicfKKJknRtGnCb1esvufdg7g=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D3600000uHY5EAM/0053600000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517293582207\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-30T06:26:14Z\"},\"conversation\":{\"conversationId\":\"151729432097\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"Log Call by Business\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"ask follow-up to log a call\"}],\"arguments\":[{\"name\":\"trigger_query\",\"rawText\":\"log a call\",\"textValue\":\"log a call\"},{\"name\":\"Type\",\"rawText\":\"call\",\"textValue\":\"call\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.SCREEN_OUTPUT\"}]}]}",
"curlCommand": "curl -v 'https://api.api.ai/api/integrations/google?token=1ee421e5c9504f5b995ce9df62f7d275' -H 'Content-Type: application/json;charset=UTF-8' -H 'Google-Actions-API-Version: 2' -H 'Authorization: eyJhbGciOiJSUzI1NiIsImtpZCI6IjI2YzAxOGIyMzNmZTJlZWY0N2ZlZGJiZGQ5Mzk4MTcwZmM5YjI5ZDgifQ.eyJhdWQiOiJzYWxlc2ZvcmNlLWEwOWVkIiwiYXpwIjoiMTE4NDUyMTUyMjE5LW1zZ2VldXBkaGU5YWp0MzZpNnJxbHJtdTExZGQ1Y2gyLmFwcHMuZ29vZ2xldXNlcmNvbnRlbnQuY29tIiwiZXhwIjoxNTE3Mjk0MTUyLCJpc3MiOiJodHRwczovL2FjY291bnRzLmdvb2dsZS5jb20iLCJqdGkiOiI5ZTJjOGI1OGQzZjRiNTc3MmQ0MDc2ZjIwNWIyMGEyYTdmYTQ3MGY3IiwiaWF0IjoxNTE3Mjk0MDMyLCJuYmYiOjE1MTcyOTM3MzJ9.WnIVnDFUESVaLYOITacgDzS_4qPCat8YEMTHgsSzvHUzJNNeZ3oaDqUZ5lwECI0jfp2qHpW7Il5Tv1iDyPScOeggvm2cZZa4OXdr7PLr362eT5wyOZnsFWlrU8n4KlNZsuKl_uMSxhftP0qD2eUuwAKQ0bbAPurApTF_iY8Gzh2V0QYpn1Ol06bJLJo8B9z4lXmFuGfzldjWXojQ1eA794nItQKtt2X7tiSfBOoXOL2fpT8omy293vcMI-dWtf5FY1nH9_bN1GKHCbOQ4LiJTB__r7PVHOcq-SNb9_CtKaXvrLo9EW3CyfnHlc0SGv1UUo9akbvDZEwZG9B3gH7K1g' -A 'Mozilla/5.0 (compatible; Google-Cloud-Functions/2.1; +http://www.google.com/bot.html)' -X POST -d '{\"user\":{\"userId\":\"ABwppHHDarg-rpyAaSt0hm8TZaycr30xhUpQcRKfchRbXriPUKmmzi_BqQrpXInBGyGmgfF4yIEiMX0jInJ8rQ\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D36000000uHY5!AQoAQAcyjXEI.J.5EnB4.R.EdNXBKlymGOI4I6PPJVb465uyQLxnbQDyjPHtD0uE0W1RMdhnhgXL8Epr8qPIMOTcnvsfKH0j\\\",\\\"signature\\\":\\\"etNbI3erh1iYmsTqCRicfKKJknRtGnC4b1esvufdg7g=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-dev-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517293582207\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-30T06:26:14Z\"},\"conversation\":{\"conversationId\":\"1517294032097\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"Log Call by Business\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"ask follow-up to log a call\"}],\"arguments\":[{\"name\":\"trigger_query\",\"rawText\":\"log a call\",\"textValue\":\"log a call\"},{\"name\":\"Type\",\"rawText\":\"call\",\"textValue\":\"call\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.SCREEN_OUTPUT\"}]}]}'"
},
"sharedDebugInfo": [
{
"name": "ResponseValidation",
"subDebugEntry": [
{
"debugInfo": "API Version 2: Failed to parse JSON response string with 'INVALID_ARGUMENT' error: \": Cannot find field.\".",
"name": "UnparseableJsonResponse"
}
]
}
]
},
"errors": [
[
{
"debugInfo": "API Version 2: Failed to parse JSON response string with 'INVALID_ARGUMENT' error: \": Cannot find field.\".",
"name": "UnparseableJsonResponse"
}
]
]
}
Google Cloud SUCCESS LOGS:
{
"request": {
"conversationToken": "",
"debugLevel": 1,
"inputType": "KEYBOARD",
"locale": "en-US",
"mockLocation": {
"city": "Mountain View",
"coordinates": {
"latitude": 37.421980615353675,
"longitude": -122.08419799804688
},
"formattedAddress": "Googleplex, Mountain View, CA 94043, United States",
"zipCode": "94043"
},
"query": "Talk to Follow-Up",
"surface": "GOOGLE_HOME"
},
"response": {
"conversationToken": "CiZDIzVhNm...",
"expectUserResponse": true,
"response": "Follow-Up is Online. Would you like to log a call, add a note or create a reminder?",
"visualResponse": {
"visualElements": []
}
},
"debug": {
"agentToAssistantDebug": {
"agentToAssistantJson": "{\"conversationToken\":\"[\\\"defaultwelcomeintent-followup\\\",\\\"sessiondata\\\"]\",\"expectUserResponse\":true,\"expectedInputs\":[{\"inputPrompt\":{\"richInitialPrompt\":{\"items\":[{\"simpleResponse\":{\"textToSpeech\":\"Follow-Up is Online. Would you like to log a call, add a note or create a reminder?\",\"displayText\":\"Follow-Up is Online. Would you like to log a call, add a note or create a reminder in Salesforce?\"}}],\"suggestions\":[{\"title\":\"Log a call\"},{\"title\":\"Add a note\"},{\"title\":\"Create a reminder\"},{\"title\":\"Exit\"}]}},\"possibleIntents\":[{\"intent\":\"assistant.intent.action.TEXT\"},{\"intent\":\"907faabf-33a2-49ff-a368-263d01e812fc\"},{\"intent\":\"a4bdf329-5430-4833-827d-620ed00e4288\"},{\"intent\":\"68d2be51-880d-44dd-9939-1c09089b5fbf\"},{\"intent\":\"d9f56992-363e-410d-a00e-1e9a59ed613d\"},{\"intent\":\"66de3f32-c11a-4e36-80b1-64582bc1ef69\"},{\"intent\":\"befff469-3348-49d7-b9d6-5bbe7eef2aa6\"},{\"intent\":\"a813eeba-2a35-4f20-8fdb-09f8e9b08b7c\"},{\"intent\":\"e9add01c-1067-4c14-a48c-979f4934e192\"},{\"intent\":\"1dbe2f1a-a12e-4f22-9092-11dafce0cf26\"},{\"intent\":\"94c36f7f-8fff-4c55-b6f4-f5556fa83d8a\"},{\"intent\":\"d503d957-6dea-4d40-b161-adb779df2f66\"},{\"intent\":\"040b1388-4aaa-4e3b-8af9-67c111bd9cc7\"},{\"intent\":\"494afd87-d03a-49a6-a5da-340061c9121a\"}],\"speechBiasingHints\":[\"$Classification\",\"$Type\",\"$BusinessName\",\"$Task\",\"$FollowUp\",\"$Calendar\"]}],\"responseMetadata\":{\"status\":{},\"queryMatchInfo\":{\"queryMatched\":true,\"intent\":\"6bb1ee8e-8a54-4422-b20e-de50839c40bc\"}}}"
},
"assistantToAgentDebug": {
"assistantToAgentJson": "{\"user\":{\"userId\":\"ABwppHHDarg-rpyAaSt0hm8TZaycr30xhUpQcRKfchRbXriPUKmmzi_BqQrpXInBGyGmgfF4yIEiMX0jInJ8rQ\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D36000000uHY5!AQoAQAcyjXEI.J.5EnB4.R.EdNXBKlymGOI4I6PPJVb465uyQLxnbQDyjPHtD0uE0W1RMdhnhgXL8Epr8qPIMOTcnvsfKH0j\\\",\\\"signature\\\":\\\"etNbI3erh1iYmsTqCRicfKKJknRtGnC4b1esvufdg7g=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-dev-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517293582207\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-30T06:33:52Z\"},\"conversation\":{\"conversationId\":\"1517294128019\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"actions.intent.MAIN\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"Talk to Follow-Up\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.SCREEN_OUTPUT\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]}]}",
"curlCommand": "curl -v 'https://api.api.ai/api/integrations/google?token=1ee421e5c9504f5b995ce9df62f7d275' -H 'Content-Type: application/json;charset=UTF-8' -H 'Google-Actions-API-Version: 2' -H 'Authorization: eyJhbGciOiJSUzI1NiIsImtpZCI6IjI2YzAxOGIyMzNmZTJlZWY0N2ZlZGJiZGQ5Mzk4MTcwZmM5YjI5ZDgifQ.eyJhdWQiOiJzYWxlc2ZvcmNlLWEwOWVkIiwiYXpwIjoiMTE4NDUyMTUyMjE5LW1zZ2VldXBkaGU5YWp0MzZpNnJxbHJtdTExZGQ1Y2gyLmFwcHMuZ29vZ2xldXNlcmNvbnRlbnQuY29tIiwiZXhwIjoxNTE3Mjk0MjQ4LCJpc3MiOiJodHRwczovL2FjY291bnRzLmdvb2dsZS5jb20iLCJqdGkiOiIxY2M5ODYxOGVlNzI5NzQ4YjdiZTczZmI3NjY2ZDM3YzllYjk0ZDQ4IiwiaWF0IjoxNTE3Mjk0MTI4LCJuYmYiOjE1MTcyOTM4Mjh9.S28YQqlVGJEK0xXfgZ-rxgwdXlfBMBoV3UXBIsvN6SeKK3PYvkvShqpKB5Icr89TSvzS7riq2H9YBwzrvPCRQscrH_3tVRyQL2EsCQhnpGQhnvVdO7rwE2b1-xnoAj7dy9D8EOuNskOK7V2Qek7u-_ZdU9r7w4W_saVwhyFtGMjfXFjgPgRurZq3Ei3-fnZ9GJ-3RqlgGU8FiSSFXheBgSvwWq9Ai7QeiVDaGcjxovX1qZXhkhu9W5lPPdTE1tUYVZ3CZcJfE5YqQiPJfQj6OJwguRg5Qb3aKMHlBV50Pb5Ux302ZWT_L49lVxk-cFM0-oTeNo5YLuFzQIwCgpcaoA' -A 'Mozilla/5.0 (compatible; Google-Cloud-Functions/2.1; +http://www.google.com/bot.html)' -X POST -d '{\"user\":{\"userId\":\"ABwppHHDarg-rpyAaSt0hm8TZaycr30xhUpQcRKfchRbXriPUKmmzi_BqQrpXInBGyGmgfF4yIEiMX0jInJ8rQ\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D36000000uHY5!AQoAQAcyjXEI.J.5EnB4.R.EdNXBKlymGOI4I6PPJVb465uyQLxnbQDyjPHtD0uE0W1RMdhnhgXL8Epr8qPIMOTcnvsfKH0j\\\",\\\"signature\\\":\\\"etNbI3erh1iYmsTqCRicfKKJknRtGnC4b1esvufdg7g=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-dev-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517293582207\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-30T06:33:52Z\"},\"conversation\":{\"conversationId\":\"1517294128019\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"actions.intent.MAIN\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"Talk to Follow-Up\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.SCREEN_OUTPUT\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]}]}'"
}
},
"errors": []
}
And the DialogFLow JSON blob here:
FAIL DIALOGFLOW
{
"id": "60acafcf-ceb2-485c-b3f6-663407832e1c",
"timestamp": "2018-01-30T06:39:56.632Z",
"lang": "en",
"result": {
"source": "agent",
"resolvedQuery": "ask follow up to log a call",
"action": "input.welcome",
"actionIncomplete": false,
"parameters": {},
"contexts": [
{
"name": "defaultwelcomeintent-followup",
"parameters": {},
"lifespan": 2
},
{
"name": "sessiondata",
"parameters": {},
"lifespan": 1
}
],
"metadata": {
"intentId": "6bb1ee8e-8a54-4422-b20e-de50839c40bc",
"webhookUsed": "true",
"webhookForSlotFillingUsed": "false",
"webhookResponseTime": 340,
"intentName": "Default Welcome Intent"
},
"fulfillment": {
"messages": [
{
"type": "suggestion_chips",
"platform": "google",
"suggestions": [
{
"title": "\"Log a call\""
},
{
"title": "\"Add a note\""
},
{
"title": "\"Create a reminder\""
}
]
},
{
"type": 0,
"speech": "Follow-Up isn't responding right now. Please try again later."
}
]
},
"score": 0.5
},
"status": {
"code": 200,
"errorType": "success",
"webhookTimedOut": false
},
"sessionId": "24069c06-d6c0-4723-a0d9-fa284884d023"
}
SUCCESS DIALOGFLOW
{
"id": "210514e2-6702-4d30-9689-eb3279fdde6d",
"timestamp": "2018-01-30T06:41:19.848Z",
"lang": "en",
"result": {
"source": "agent",
"resolvedQuery": "talk to follow up",
"action": "input.welcome",
"actionIncomplete": false,
"parameters": {},
"contexts": [
{
"name": "defaultwelcomeintent-followup",
"parameters": {},
"lifespan": 2
},
{
"name": "sessiondata",
"parameters": {},
"lifespan": 1
}
],
"metadata": {
"intentId": "6bb1ee8e-8a54-4422-b20e-de50839c40bc",
"webhookUsed": "true",
"webhookForSlotFillingUsed": "false",
"webhookResponseTime": 237,
"intentName": "Default Welcome Intent"
},
"fulfillment": {
"messages": [
{
"type": "suggestion_chips",
"platform": "google",
"suggestions": [
{
"title": "\"Log a call\""
},
{
"title": "\"Add a note\""
},
{
"title": "\"Create a reminder\""
}
]
},
{
"type": 0,
"speech": "Follow-Up isn't responding right now. Please try again later."
}
]
},
"score": 1
},
"status": {
"code": 200,
"errorType": "success",
"webhookTimedOut": false
},
"sessionId": "24069c06-d6c0-4723-a0d9-fa284884d023"
}
Google Actions Testing Logs FAIL
{
"request": {
"conversationToken": "",
"debugLevel": 1,
"inputType": "KEYBOARD",
"locale": "en-US",
"mockLocation": {
"city": "Mountain View",
"coordinates": {
"latitude": 37.421980615353675,
"longitude": -122.08419799804688
},
"formattedAddress": "Googleplex, Mountain View, CA 94043, United States",
"zipCode": "94043"
},
"query": "ask follow up to log a call",
"surface": "GOOGLE_HOME"
},
"response": {
"conversationToken": "GidzaW11bG...",
"response": "Follow up isn't responding right now. Try again soon.",
"visualResponse": {
"visualElements": []
}
},
"debug": {
"agentToAssistantDebug": {
"agentToAssistantJson": "{\"message\":\"Failed to parse Dialogflow response into AppResponse, exception thrown with message: Empty speech response\",\"apiResponse\":{\"id\":\"49c16313-09e6-4431-9765-37095a19e3bb\",\"timestamp\":\"2018-01-31T01:45:41.734Z\",\"lang\":\"en-us\",\"result\":{},\"status\":{\"code\":200,\"errorType\":\"success\"},\"sessionId\":\"1517363140452\"}}"
},
"assistantToAgentDebug": {
"assistantToAgentJson": "{\"user\":{\"userId\":\"ABwppHGKOxCmVg53MPiRI_5NnIt0vUjDf0Hqwxgm9pTNnH8vOquUymEX8T2OtFC1NA48-X4JiKBTk0an2wTYVw\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D36000000uHY5!AQoAQFHFHGAYHInuT1.FtcUSN7k81w1tgkEh.ijyqq1Pw3UqtlCM6SGi_qTrvFDAvPBG673Lgr119bpIUEUNuOnC4XF2d7o2\\\",\\\"refresh_token\\\":\\\"5Aep861QbHyftz0nI9mDOXbILtyhnTRY2lNmFwvaIHwc6w_JBasCpmEoOoWUo5W9asHeibIB9HbomiclZ2P_6pk\\\",\\\"signature\\\":\\\"nUZJxL8SFUVOScLjP6c5ydpjwL8iLRyHZ+xOyehfLhc=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-dev-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517363133651\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-31T01:44:48Z\"},\"conversation\":{\"conversationId\":\"1517363140452\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"Log Call by Name\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"ask follow up to log a call\"}],\"arguments\":[{\"name\":\"trigger_query\",\"rawText\":\"log a call\",\"textValue\":\"log a call\"},{\"name\":\"Type\",\"rawText\":\"call\",\"textValue\":\"call\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.SCREEN_OUTPUT\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]}]}",
"curlCommand": "curl -v 'https://api.api.ai/api/integrations/google?token=1ee421e5c9504f5b995ce9df62f7d275' -H 'Content-Type: application/json;charset=UTF-8' -H 'Google-Actions-API-Version: 2' -H 'Authorization: eyJhbGciOiJSUzI1NiIsImtpZCI6IjI2YzAxOGIyMzNmZTJlZWY0N2ZlZGJiZGQ5Mzk4MTcwZmM5YjI5ZDgifQ.eyJhdWQiOiJzYWxlc2ZvcmNlLWEwOWVkIiwiYXpwIjoiMTE4NDUyMTUyMjE5LW1zZ2VldXBkaGU5YWp0MzZpNnJxbHJtdTExZGQ1Y2gyLmFwcHMuZ29vZ2xldXNlcmNvbnRlbnQuY29tIiwiZXhwIjoxNTE3MzYzMjYwLCJpc3MiOiJodHRwczovL2FjY291bnRzLmdvb2dsZS5jb20iLCJqdGkiOiI5NDQxOTU4YzVkYWY3ZjgyODkzOTdhYWRkNjgzMzNmNDQ1ZjY2NDFkIiwiaWF0IjoxNTE3MzYzMTQwLCJuYmYiOjE1MTczNjI4NDB9.Fc5SWQakdTwfhW3x1NGgbwzT4pjec5GW2fOVc0Vh9aZ8XseAOeMWDRdiVK5Q4ApRMfJWC239P2LYvXGzW2tqZBPjxS_LKdD_6GbRJaNAYMs2SyiTuJmLs0G9RqFzXja-0mz8q_lejpWSuLgjzO7H136lHjR4d6bFiNS0ec3UIzIrgx7oaGCtRFuEtj4af82llyztaKkDAtwpankG01CBWm_sX_FmFD9svLUk7u22NA3KXsCM23fasLcmietBEj6LktnfiR6Tk85mk4n5FYi4VJ7KHzsfgIPC2zkmJVaAc1OczLvV_qtLb_9hoM_3k8jLMXK0n1oypQHZSpCvElOzwQ' -A 'Mozilla/5.0 (compatible; Google-Cloud-Functions/2.1; +http://www.google.com/bot.html)' -X POST -d '{\"user\":{\"userId\":\"ABwppHGKOxCmVg53MPiRI_5NnIt0vUjDf0Hqwxgm9pTNnH8vOquUymEX8T2OtFC1NA48-X4JiKBTk0an2wTYVw\",\"accessToken\":\"{\\\"access_token\\\":\\\"00D36000000uHY5!AQoAQFHFHGAYHInuT1.FtcUSN7k81w1tgkEh.ijyqq1Pw3UqtlCM6SGi_qTrvFDAvPBG673Lgr119bpIUEUNuOnC4XF2d7o2\\\",\\\"refresh_token\\\":\\\"5Aep861QbHyftz0nI9mDOXbILtyhnTRY2lNmFwvaIHwc6w_JBasCpmEoOoWUo5W9asHeibIB9HbomiclZ2P_6pk\\\",\\\"signature\\\":\\\"nUZJxL8SFUVOScLjP6c5ydpjwL8iLRyHZ+xOyehfLhc=\\\",\\\"scope\\\":\\\"refresh_token web api\\\",\\\"instance_url\\\":\\\"https://follow-up-dev-ed.my.salesforce.com\\\",\\\"id\\\":\\\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\\\",\\\"token_type\\\":\\\"Bearer\\\",\\\"issued_at\\\":\\\"1517363133651\\\"}\",\"locale\":\"en-US\",\"lastSeen\":\"2018-01-31T01:44:48Z\"},\"conversation\":{\"conversationId\":\"1517363140452\",\"type\":\"NEW\"},\"inputs\":[{\"intent\":\"Log Call by Name\",\"rawInputs\":[{\"inputType\":\"VOICE\",\"query\":\"ask follow up to log a call\"}],\"arguments\":[{\"name\":\"trigger_query\",\"rawText\":\"log a call\",\"textValue\":\"log a call\"},{\"name\":\"Type\",\"rawText\":\"call\",\"textValue\":\"call\"}]}],\"surface\":{\"capabilities\":[{\"name\":\"actions.capability.AUDIO_OUTPUT\"},{\"name\":\"actions.capability.MEDIA_RESPONSE_AUDIO\"}]},\"isInSandbox\":true,\"availableSurfaces\":[{\"capabilities\":[{\"name\":\"actions.capability.SCREEN_OUTPUT\"},{\"name\":\"actions.capability.AUDIO_OUTPUT\"}]}]}'"
},
"sharedDebugInfo": [
{
"name": "ResponseValidation",
"subDebugEntry": [
{
"debugInfo": "API Version 2: Failed to parse JSON response string with 'INVALID_ARGUMENT' error: \": Cannot find field.\".",
"name": "UnparseableJsonResponse"
}
]
}
]
},
"errors": [
[
{
"debugInfo": "API Version 2: Failed to parse JSON response string with 'INVALID_ARGUMENT' error: \": Cannot find field.\".",
"name": "UnparseableJsonResponse"
}
]
]
}
Google Cloud Logs SUCCESS Post
{
insertId: "epw74xfuhr98a"
labels: {
channel: "preview"
source: "JSON_RESPONSE_VALIDATION"
}
logName: "projects/salesforce-a09ed/logs/actions.googleapis.com%2Factions"
receiveTimestamp: "2018-01-31T02:07:08.026897050Z"
resource: {
labels: {
action_id: ""
project_id: "salesforce-a09ed"
version_id: ""
}
type: "assistant_action"
}
severity: "DEBUG"
textPayload: "Sending request with post data: {"user":{"userId":"ABwppHGKOxCmVg53MPiRI_5NnIt0vUjDf0Hqwxgm9pTNnH8vOquUymEX8T2OtFC1NA48-X4JiKBTk0an2wTYVw","accessToken":"{\"access_token\":\"00D36000000uHY5!AQoAQPlRWyuv4mA0oNyUUcUWBr1PRzsaQB0NGFR3f9CD6j4Z_vHGSHCcRtGyOet5F_jEdvo.ykj1es.d2y.d7lFwanc1x1en\",\"refresh_token\":\"5Aep861QbHyftz0nI9mDOXbILtyhnTRY2lNmFwvaIHwc6w_JBZrL0KU0BZ3nLp.5Q1bBdSVn.zL53m3QsG0ZW1J\",\"signature\":\"UncpON0wsMm9OfoudbJw4liWBdWktyCat6lxArAO3iU=\",\"scope\":\"refresh_token web api\",\"instance_url\":\"https://follow-up-dev-ed.my.salesforce.com\",\"id\":\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\",\"token_type\":\"Bearer\",\"issued_at\":\"1517364271309\"}","locale":"en-US","lastSeen":"2018-01-31T02:05:39Z"},"conversation":{"conversationId":"1517364426179","type":"NEW"},
"inputs":[{"intent":"actions.intent.MAIN","rawInputs":[{"inputType":"VOICE","query":"open follow-up"}]}],
"surface":{"capabilities":[{"name":"actions.capability.MEDIA_RESPONSE_AUDIO"},{"name":"actions.capability.AUDIO_OUTPUT"}]},"isInSandbox":true,"availableSurfaces":[{"capabilities":[{"name":"actions.capability.SCREEN_OUTPUT"},{"name":"actions.capability.AUDIO_OUTPUT"}]}]}."
timestamp: "2018-01-31T02:07:06.435444389Z"
trace: "projects/118452152219/traces/1517364426179"
}
Google Cloud Logs FAIL Post
{
insertId: "5kahhnfa51fzb"
labels: {
channel: "preview"
source: "JSON_RESPONSE_VALIDATION"
}
logName: "projects/salesforce-a09ed/logs/actions.googleapis.com%2Factions"
receiveTimestamp: "2018-01-31T02:08:18.510485438Z"
resource: {
labels: {
action_id: ""
project_id: "salesforce-a09ed"
version_id: ""
}
type: "assistant_action"
}
severity: "DEBUG"
textPayload: "Sending request with post data: {"user":{"userId":"ABwppHGKOxCmVg53MPiRI_5NnIt0vUjDf0Hqwxgm9pTNnH8vOquUymEX8T2OtFC1NA48-X4JiKBTk0an2wTYVw","accessToken":"{\"access_token\":\"00D36000000uHY5!AQoAQPlRWyuv4mA0oNyUUcUWBr1PRzsaQB0NGFR3f9CD6j4Z_vHGSHCcRtGyOet5F_jEdvo.ykj1es.d2y.d7lFwanc1x1en\",\"refresh_token\":\"5Aep861QbHyftz0nI9mDOXbILtyhnTRY2lNmFwvaIHwc6w_JBZrL0KU0BZ3nLp.5Q1bBdSVn.zL53m3QsG0ZW1J\",\"signature\":\"UncpON0wsMm9OfoudbJw4liWBdWktyCat6lxArAO3iU=\",\"scope\":\"refresh_token web api\",\"instance_url\":\"https://follow-up-dev-ed.my.salesforce.com\",\"id\":\"https://login.salesforce.com/id/00D36000000uHY5EAM/00536000000L9ePAAS\",\"token_type\":\"Bearer\",\"issued_at\":\"1517364271309\"}","locale":"en-US","lastSeen":"2018-01-31T02:08:07Z"},"conversation":{"conversationId":"1517364498025","type":"NEW"},
"inputs":[{"intent":"ReminderIntent","rawInputs":[{"inputType":"VOICE","query":"ask follow up to create a reminder"}],"arguments":[{"name":"trigger_query","rawText":"create a reminder","textValue":"create a reminder"},{"name":"Task","rawText":"creates","textValue":"create"},{"name":"Task","rawText":"reminders","textValue":"reminder"}]}],
"surface":{"capabilities":[{"name":"actions.capability.AUDIO_OUTPUT"},{"name":"actions.capability.MEDIA_RESPONSE_AUDIO"}]},"isInSandbox":true,"availableSurfaces":[{"capabilities":[{"name":"actions.capability.AUDIO_OUTPUT"},{"name":"actions.capability.SCREEN_OUTPUT"}]}]}."
timestamp: "2018-01-31T02:08:18.282416932Z"
trace: "projects/118452152219/traces/1517364498025"
}
Screen shots:
DialogFlow Welcome Intent
DialogFlow LogCall Intent
DialogFlow / Assistant Integration Tab
Google Actions Simulator error
Google Cloud Error Logs
The issue is because the intent you are trying to match "Log call by name" which expects an input context "sessionData", will never be matched because invoking your app using a deep-link "ask follow up to log a call" doesn't send that context in the request. That explains why your default response (Text response) for that intent isn't returned.
To fix it you need to:
Remove the input contexts from the intents you intend to use as deep-links OR duplicate those intents and remove the input contexts from the duplicates.
Best practice 1: Have a fallback intent that has no input contexts, which will catch any unmatched in-dialog queries.
Best practice 2: Have a fallback intent that specifically handles unmatched deep-links at invocation time. (See image below)
The agentToAssistantJson field has an encoded JSON entry for result which typically suggests that your webhook isn't returning anything. Normally, Dialogflow returns the static messages you've defined in the Intent in this case, but it sounds like that isn't happening here. Verify that the URL you're using for fulfillment is correct and that it is returning valid JSON.
In this case, I think there are a few things that could be causing the problem.
The phrase "Ask follow up to log a call" should be triggering the Log Call by Name Intent it looks like. But this Intent isn't listed as one of the implicit invocation Intents. The Assistant might be passing this off to Dialogflow, and Dialogflow, finding no match, returns nothing.
But even if it did match the phrasing for the Log Call by Name Intent, and that Intent was an implicit invocation Intent, there are two other elements of the Intent that seem strange.
The first is that the Intent is expecting an input context of sessionData. But since this is meant to be used as an initial Intent, there can be no input context. Dialogflow may be told by the Assistant that this is the matching Intent, and then reject it because the input context doesn't match.
Similarly, the second oddity is that you're looking for an event called CALL_BY_NAME. Events generally override any phrases that may be spoken - they're meant to capture non-textual activities (the WELCOME intent, for example, or an option being selected, or the user saying nothing). Unless you're triggering the event (which you can do), you probably wouldn't want it. As above, I'm wondering if the Assistant is telling Dialogflow this is the Intent to use, but Dialogflow isn't getting the event, so rejects it and sends back nothing.
tl;dr
There are three possible things to look at and fix:
Make sure the Intent is listed as an implicit invocation Intent in the Assistant Integration.
Remove the incoming context.
Remove the event.

Data Factory: AzureSQL in- and output for pipeline activity type AzureMLBatchExecution

In Azure Data Factory, I’m trying to call an Azure Machine Learning model by a Data Factory Pipeline. I want to use a Azure SQL table as input and another Azure SQL table for the output.
First I deployed a Machine Learning (classic) web service. Then I created an Azure Data Factory Pipeline, using a LinkedService (type= ‘AzureML’, using Request URI and API key of the ML-webservice) and a input and output dataset (‘AzureSqlTable’ type).
Deploying and Provisioning is succeeded. The pipeline starts as scheduled, but keeps ‘Running’ without any result. The pipeline activity is not being shown in the Monitor&Manage: Activity Windows.
On different sites and tutorials, I only find JSON-scripts using the activity type ‘AzureMLBatchExecution’ with BLOB in- and outputs. I want to use AzureSQL in- and output but I can’t get this working.
Can someone provide a sample JSON-script or tell me what’s possibly wrong with the code below?
Thanks!
{
"name": "Predictive_ML_Pipeline",
"properties": {
"description": "use MyAzureML model",
"activities": [
{
"type": "AzureMLBatchExecution",
"typeProperties": {},
"inputs": [
{
"name": "AzureSQLDataset_ML_Input"
}
],
"outputs": [
{
"name": "AzureSQLDataset_ML_Output"
}
],
"policy": {
"timeout": "02:00:00",
"concurrency": 3,
"executionPriorityOrder": "NewestFirst",
"retry": 1
},
"scheduler": {
"frequency": "Week",
"interval": 1
},
"name": "My_ML_Activity",
"description": "prediction analysis on ML batch input",
"linkedServiceName": "AzureMLLinkedService"
}
],
"start": "2017-04-04T09:00:00Z",
"end": "2017-04-04T18:00:00Z",
"isPaused": false,
"hubName": "myml_hub",
"pipelineMode": "Scheduled"
}
}
With a little help from a Microsoft technician, I've got this working. The JSON script as mentioned above is only changed in the schedule-section:
"start": "2017-04-01T08:45:00Z",
"end": "2017-04-09T18:00:00Z",
A pipeline is active only between its start time and end time. Because the scheduler is set to weekly, the pipeline is triggered at the start of the week: that date should be within start- and end date. For more details about scheduling, see: https://learn.microsoft.com/en-us/azure/data-factory/data-factory-scheduling-and-execution
The Azure SQL Input dataset should look like this:
{
"name": "AzureSQLDataset_ML_Input",
"properties": {
"published": false,
"type": "AzureSqlTable",
"linkedServiceName": "SRC_SQL_Azure",
"typeProperties": {
"tableName": "dbo.Azure_ML_Input"
},
"availability": {
"frequency": "Week",
"interval": 1
},
"external": true,
"policy": {
"externalData": {
"retryInterval": "00:01:00",
"retryTimeout": "00:10:00",
"maximumRetry": 3
}
}
}
I added the external and policy properties to this dataset (see script above) and after that, it worked.