I'm learning node.js
I have an object like this-
environments=[{
"name": "test",
"resourceLimits": {
"cpu": { "min": 0.1, "max": 10 },
"target": {"targetName": "del", "env": "dev", "region": "us-east-1"},
"name": "test2",
"resourceLimits": {
"cpu": { "min": 0.1, "max": 10 },
"target": {"targetName": "bob", "env": "dev", "region": "us-east-1"}],
I am trying to find the name of environment where targetName=bob
If targetName existed outside the target object , i could have done
let myEnv = _.chain(environments).where({ targetName: "Bob" }).first().value();
//and print myEnv.name
However, the following is a synax error
let myEnv = _.chain(environments).where({ target.targetName: "Bob" }).first().value();
How do I handle nested object with underscore/chain/where ? Thanks ! Any other ways are good too.
Use lodash libray https://lodash.com/
var environments=[
{
"name": "test",
"resourceLimits": {
"cpu": {
"min": 0.1, "max": 10
},
"target": {
"targetName": "del",
"env": "dev",
"region": "us-east-1"
}
}
}, {
"name": "test2",
"resourceLimits": {
"cpu": {
"min": 0.1,
"max": 10
},
"target": {
"targetName": "bob",
"env": "dev",
"region": "us-east-1"
}
}
}]
var res = _.find(environments, ['resourceLimits.target.targetName', 'bob']);
console.log(res.name);// "test2"
Try
let myEnv = _.chain(environments).where({ target.targetName: "Bob" }).first().value()
Related
I created my products with the API and all is ok. But we have some products with variants. These looking good in the backend, but in the frontend shopware doesn't display the product. Where is my error in the payload?
Thank you for helping me!
Here is my code:
{
"write-product":
{
"entity": "product",
"action": "upsert",
"payload": [
{
"id": "17cf3bac8966cc4de52aa557f59e5fd3",
"active": true,
"deliveryTimeId": "1e04777cb17d4396b424129b2d8e3a79",
"description": "Produktbeschreibung",
"ean": null,
"featureSetId": null,
"manufacturerId": null,
"manufacturerNumber": null,
"minPurchase": 1,
"name": "Produktname",
"productNumber": "Nummer",
"releaseDate": "2022-09-28T14:12:18.03",
"stock": 999999,
"taxId": "2842fd17d5a7424795853e7fe7072448",
"price":[
{
"currencyId": "b7d2554b0ce847cd82f3ac9bd1c0dfca",
"net": 13.77,
"gross": 16.39,
"linked": false
}
],
"categories":[
{
"id":"648875017ed54637a41c8c1f972c239f",
"name":"Kategoriename"
}
],
"configuratorSettings": [
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "2ab9df7d2dd94ad38eb53cf7dcf16e56"
},
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "0fcf784970ea448bac1f7db542df9b86"
},
{
"productId": "17cf3bac8966cc4de52aa557f59e5fd3",
"optionId": "0014aa7dc0b644b78cd4b39193f580b4"
}
],
"properties": [
{
"groupId":"ca74efd59b5545f2b4e4f532c217b2ce",
"name": "1,0 m"
},
{
"groupId":"fa7f63d697d44684a5bb74ba5a73d3c7",
"name": "2,0 mm"
},
{
"groupId":"a431bc98fe0149c3bf3ececf629e9740",
"name": "Material"
}
],
"visibilities": [
{
"id": "17cf3bac8966cc4de52aa557f59e5fd3",
"salesChannelId": "840a0403b56240b6a11502af1d46521e",
"visibility": 30
}
],
"coverId": "0f9ab99638bd0ea5e907234bf425819e",
"cover":
{
"mediaId": "0f9ab99638bd0ea5e907234bf425819e"
},
"media": [
{
"media":
{
"id": "0f9ab99638bd0ea5e907234bf425819e",
"position": 0,
"mediaFolderId": "d8f460870e454c0bbca540614ca30029",
"alt": "Bildname",
"description": "Bildbeschreibung",
"title": "Bildtitel"
}
}
],
"children": [
{
"id": "25c8876fb7577cad78df7539737d25ce",
"active": true,
"deliveryTimeId": "1e04777cb17d4396b424129b2d8e3a79",
"description": "Beschreibung Kindelement",
"ean": null,
"featureSetId": null,
"manufacturerId": null,
"manufacturerNumber": null,
"minPurchase": 1,
"name": "Name Kindelement",
"productNumber": "Nummer Kindelement",
"releaseDate": "2022-09-16T14:14:31.41",
"stock": 999999,
"taxId": "2842fd17d5a7424795853e7fe7072448",
"price":[
{
"currencyId": "b7d2554b0ce847cd82f3ac9bd1c0dfca",
"net": 82.63,
"gross": 98.33,
"linked": false
}
],
"categories":[
{
"id":"648875017ed54637a41c8c1f972c239f",
"name":"Kategoriename"
}
],
"configuratorSettings": [
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "b224173313cb4f8da03578ef83702751"
},
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "0fcf784970ea448bac1f7db542df9b86"
},
{
"productId": "25c8876fb7577cad78df7539737d25ce",
"optionId": "0014aa7dc0b644b78cd4b39193f580b4"
}
],
"properties": [
{
"groupId":"ca74efd59b5545f2b4e4f532c217b2ce",
"name": "6,0 m"
},
{
"groupId":"fa7f63d697d44684a5bb74ba5a73d3c7",
"name": "2,0 mm"
},
{
"groupId":"a431bc98fe0149c3bf3ececf629e9740",
"name": "Material"
}
],
"parentId": "17cf3bac8966cc4de52aa557f59e5fd3",
"options": [
{
"id":"b224173313cb4f8da03578ef83702751",
"group": {
"id":"ca74efd59b5545f2b4e4f532c217b2ce"}
},
{
"id":"0fcf784970ea448bac1f7db542df9b86",
"group": {
"id":"fa7f63d697d44684a5bb74ba5a73d3c7"}
},
{
"id":"0014aa7dc0b644b78cd4b39193f580b4",
"group": {
"id":"a431bc98fe0149c3bf3ececf629e9740"
}
}
],
"visibilities": [
{
"id": "25c8876fb7577cad78df7539737d25ce",
"salesChannelId": "840a0403b56240b6a11502af1d46521e",
"visibility": 30
}
],
"media": [
{
"media": {
"id": "fba6e74294488b554aa88f7dcf6f38f2",
"position": 0,
"mediaFolderId": "d8f460870e454c0bbca540614ca30029",
"alt": "Bildname Kindelement",
"description": "Beschreibung Kindelement",
"title": "Bildtitel Kindelement"
}
}
]
}
]
}
]
}
}
I'm searching in different boards and looking in the API Browser, Using swagger for the api and so on. No result. I need the main-product and the variants be visible in the frontend. At the moment all products with variants are invisible in the frontend.
Double check your Visibility & Categories. It could be them. Also, maybe you need to re-index after creation?
You have way too much stuff going on at the moment for us to help you out.
Try to split your calls into smaller chunks (for us). Also start with less data when creating a product. With every step check the frontend. Can you even create a simple product & display it on the frontend? Yes? Then try create the most basic child that inherits most of the visible parent.
For a child you do not need much data, e.g.
{
"write-product": {
"entity": "product",
"action": "upsert",
"payload": [
{
"parentId": "",
"options": [
{
"id": ""
}
],
"price": [
{
"currencyId": "{{gen_salesChannel_currency_id}}",
"gross": 0.0,
"net": 0.0,
"linked": false
}
]
"productNumber": "",
"stock": 999
}
]
}
}
Another tip is to use the network tab in the admin to see how it creates these relationships. Here is an image of how it looks like:
I am doing some analysis on spark sql query execution plans. the execution plans that explain() api prints are not much readable. If we see spark web UI, a DAG graph is created which is divided into jobs, stages and tasks and much more readable. Is there any way to create that graph from execution plans or any apis in the code? if not, are there any apis that can read that grap from UI?
As close I can see, this project (https://github.com/AbsaOSS/spline-spark-agent) is able to interpret the execution plan and generate it in a readable way.
This spark job is reading a file, convert it to a CSV file, write to local.
A sample output in JSON look like
{
"id": "3861a1a7-ca31-4fab-b0f5-6dbcb53387ca",
"operations": {
"write": {
"outputSource": "file:/output.csv",
"append": false,
"id": 0,
"childIds": [
1
],
"params": {
"path": "output.csv"
},
"extra": {
"name": "InsertIntoHadoopFsRelationCommand",
"destinationType": "csv"
}
},
"reads": [
{
"inputSources": [
"file:/Users/liajiang/Downloads/spark-onboarding-demo-application/src/main/resources/wikidata.csv"
],
"id": 2,
"schema": [
"6742cfd4-d8b6-4827-89f2-4b2f7e060c57",
"62c022d9-c506-4e6e-984a-ee0c48f9df11",
"26f1d7b5-74a4-459c-87f3-46a3df781400",
"6e4063cf-4fd0-465d-a0ee-0e5c53bd52b0",
"2e019926-3adf-4ece-8ea7-0e01befd296b"
],
"params": {
"inferschema": "true",
"header": "true"
},
"extra": {
"name": "LogicalRelation",
"sourceType": "csv"
}
}
],
"other": [
{
"id": 1,
"childIds": [
2
],
"params": {
"name": "`source`"
},
"extra": {
"name": "SubqueryAlias"
}
}
]
},
"systemInfo": {
"name": "spark",
"version": "2.4.2"
},
"agentInfo": {
"name": "spline",
"version": "0.5.5"
},
"extraInfo": {
"appName": "spark-spline-demo-application",
"dataTypes": [
{
"_typeHint": "dt.Simple",
"id": "f0dede5e-8fe1-4c22-ab24-98f7f44a9a5a",
"name": "timestamp",
"nullable": true
},
{
"_typeHint": "dt.Simple",
"id": "dbe1d206-3d87-442c-837d-dfa47c88b9c1",
"name": "string",
"nullable": true
},
{
"_typeHint": "dt.Simple",
"id": "0d786d1e-030b-4997-b005-b4603aa247d7",
"name": "integer",
"nullable": true
}
],
"attributes": [
{
"id": "6742cfd4-d8b6-4827-89f2-4b2f7e060c57",
"name": "date",
"dataTypeId": "f0dede5e-8fe1-4c22-ab24-98f7f44a9a5a"
},
{
"id": "62c022d9-c506-4e6e-984a-ee0c48f9df11",
"name": "domain_code",
"dataTypeId": "dbe1d206-3d87-442c-837d-dfa47c88b9c1"
},
{
"id": "26f1d7b5-74a4-459c-87f3-46a3df781400",
"name": "page_title",
"dataTypeId": "dbe1d206-3d87-442c-837d-dfa47c88b9c1"
},
{
"id": "6e4063cf-4fd0-465d-a0ee-0e5c53bd52b0",
"name": "count_views",
"dataTypeId": "0d786d1e-030b-4997-b005-b4603aa247d7"
},
{
"id": "2e019926-3adf-4ece-8ea7-0e01befd296b",
"name": "total_response_size",
"dataTypeId": "0d786d1e-030b-4997-b005-b4603aa247d7"
}
]
}
}
I am trying to a build a basic custom alexa skill. I have created an intent schema and am using AWS lambda function as the endpoint. ]
My Intent schema:
{
"interactionModel": {
"languageModel": {
"invocationName": "toit brewpub",
"modelConfiguration": {
"fallbackIntentSensitivity": {
"level": "LOW"
}
},
"intents": [
{
"name": "AMAZON.FallbackIntent",
"samples": []
},
{
"name": "AMAZON.CancelIntent",
"samples": []
},
{
"name": "AMAZON.HelpIntent",
"samples": []
},
{
"name": "AMAZON.StopIntent",
"samples": []
},
{
"name": "AMAZON.NavigateHomeIntent",
"samples": []
},
{
"name": "GetClosingTime",
"slots": [],
"samples": [
"what time do you close",
"when is the last order",
"till what time are you open",
"What time does the pub close"
]
},
{
"name": "GetPriceOfBeer",
"slots": [
{
"name": "beer",
"type": "BEERS"
}
],
"samples": [
"how much is {beer}",
"what is the price of {beer}"
]
}
],
"types": [
{
"name": "BEERS",
"values": [
{
"name": {
"value": "Toit Red"
}
},
{
"name": {
"value": "Tiot Weiss"
}
},
{
"name": {
"value": "Basmati Blonde"
}
},
{
"name": {
"value": "Tintin Toit"
}
},
{
"name": {
"value": "IPA"
}
},
{
"name": {
"value": "Dark Knight"
}
}
]
}
]
}
}
}
I am using Node.js v 10.x for my lamda function which has been built using Alexa-Skills-NodeJS-Fact-kit, The region for my aws lambda is US_EAST- N.VIRGINIA.
Below is the request I receive when I talk to my Test Simulator:
{
"version": "1.0",
"session": {
"new": false,
"sessionId": "amzn1.echo-api.session.fd1c5315-ecf8-413f-ba25-e54bd6ae316a",
"application": {
"applicationId": "amzn1.ask.skill.72615503-5f38-4baf-b0dd-cd6edd3b6dfd"
},
"user": {
"userId": ""
}
},
"context": {
"System": {
"application": {
"applicationId": "amzn1.ask.skill.72615503-5f38-4baf-b0dd-cd6edd3b6dfd"
},
"user": {
"userId": ""
},
"device": {
"deviceId": "",
"supportedInterfaces": {}
},
"apiEndpoint": "https://api.eu.amazonalexa.com",
"apiAccessToken": ""
},
"Viewport": {
"experiences": [
{
"arcMinuteWidth": 246,
"arcMinuteHeight": 144,
"canRotate": false,
"canResize": false
}
],
"shape": "RECTANGLE",
"pixelWidth": 1024,
"pixelHeight": 600,
"dpi": 160,
"currentPixelWidth": 1024,
"currentPixelHeight": 600,
"touch": [
"SINGLE"
],
"video": {
"codecs": [
"H_264_42",
"H_264_41"
]
}
},
"Viewports": [
{
"type": "APL",
"id": "main",
"shape": "RECTANGLE",
"dpi": 160,
"presentationType": "STANDARD",
"canRotate": false,
"configuration": {
"current": {
"video": {
"codecs": [
"H_264_42",
"H_264_41"
]
},
"size": {
"type": "DISCRETE",
"pixelWidth": 1024,
"pixelHeight": 600
}
}
}
}
]
},
"request": {
"type": "SessionEndedRequest",
"requestId": "amzn1.echo-api.request.24b64895-3f90-4a5b-9805-9d3b038cd323",
"timestamp": "2020-03-29T08:59:54Z",
"locale": "en-US",
"reason": "ERROR",
"error": {
"type": "INVALID_RESPONSE",
"message": "An exception occurred while dispatching the request to the skill."
}
}
}
I have removed the user Id, device ID and access token while asking the question for security reasons.
My Lambda node js function looks like this which i have generated using the code generator :
https://github.com/shreyneil/Episodes/blob/master/amazon-echo/lambda-function.js
Url for code-generator: http://alexa.codegenerator.s3-website-us-east-1.amazonaws.com/
Url for tutorial that i was using to implement it: https://www.youtube.com/watch?v=BB3wwxgqPOU
Whenever i try to launch the event using , open toit brewpub in my test simulator it thorws an error stating :
There was a problem with the requested skill's response
Any idea on how to make this work?
Any leads would appreciated, Thank you!
I'm using a custom Lambda function to handle my custom Alexa skill. I have a single slot, which I want to capture. Unfortunately, the intent slot is never populated with any value, and seems to be getting ignored, despite being in the request.
Here is my code (note: the JSON.stringify is there to help me debug):
'use strict';
var Alexa = require("alexa-sdk");
exports.handler = function(event, context, callback) {
var alexa = Alexa.handler(event, context);
alexa.registerHandlers(handlers);
alexa.execute();
};
var handlers = {
'LaunchRequest': function () {
this.emit('Snow');
},
'Snow': function () {
var place = this.event.request.intent.slots.Place;
var text = 'Over the next 9 days you can expect 12 centimeters of snowfall in '+ JSON.stringify(place) +'. The upper piste has a depth of 75 centimeters and the lower piste has a depth of 35 centimeters. All 19 lifts are currently open.';
this.emit(':tell', text);
}
};
I have an Intent called "Snow" and a slot called "Place". Here is my interaction model:
{
"interactionModel": {
"languageModel": {
"invocationName": "ski club",
"intents": [
{
"name": "AMAZON.FallbackIntent",
"samples": []
},
{
"name": "AMAZON.CancelIntent",
"samples": []
},
{
"name": "AMAZON.HelpIntent",
"samples": []
},
{
"name": "AMAZON.StopIntent",
"samples": []
},
{
"name": "AMAZON.NavigateHomeIntent",
"samples": []
},
{
"name": "Snow",
"slots": [
{
"name": "Place",
"type": "AMAZON.City"
}
],
"samples": [
"how the powder is",
"what the powder is like",
"how the snow is",
"what the snow is like",
"snow conditions",
"snow condition",
"snow fall",
"snowfall",
"powder levels",
"powder level",
"snow level",
"powder depth",
"snow levels",
"snow depth",
"powder",
"snow",
"the snow"
]
}
],
"types": []
},
"dialog": {
"intents": [
{
"name": "Snow",
"confirmationRequired": false,
"prompts": {},
"slots": [
{
"name": "Place",
"type": "AMAZON.City",
"confirmationRequired": false,
"elicitationRequired": true,
"prompts": {
"elicitation": "Elicit.Slot.115004419453.153941565683"
}
}
]
}
]
},
"prompts": [
{
"id": "Elicit.Slot.115004419453.153941565683",
"variations": [
{
"type": "PlainText",
"value": "Where would you like to know about the snow?"
}
]
}
]
}
}
I would expect to be able to ask:
Alexa ask my app how the snow is in Morzine
And I would expect an answer back with the static text from my Lambda function, including the name inserted. However, I'm getting the following:
{
"body": {
"version": "1.0",
"response": {
"outputSpeech": {
"type": "SSML",
"ssml": "<speak> Over the next 9 days you can expect 12 centimeters of snowfall in {\"name\":\"Place\",\"confirmationStatus\":\"NONE\"}. The upper piste has a depth of 75 centimeters and the lower piste has a depth of 35 centimeters. All 19 lists are currently open. </speak>"
},
"shouldEndSession": true
},
"sessionAttributes": {},
"userAgent": "ask-nodejs/1.0.25 Node/v8.10.0"
}
}
It seems Place never has a value.
I get the exact same response if I omit the Place slot entirely:
Alexa ask my app how the snow is
Here I would expect to be asked to give a slot.
Here is the JSON Input from Alexa (I've redacted some keys):
{
"version": "1.0",
"session": {
"new": true,
"sessionId": "amzn1.echo-api.session.***",
"application": {
"applicationId": "amzn1.ask.skill.***"
},
"user": {
"userId": "amzn1.ask.account.***"
}
},
"context": {
"System": {
"application": {
"applicationId": "amzn1.ask.skill.***"
},
"user": {
"userId": "amzn1.ask.account.***"
},
"device": {
"deviceId": "amzn1.ask.device.***",
"supportedInterfaces": {}
},
"apiEndpoint": "https://api.eu.amazonalexa.com",
"apiAccessToken": "***.***.***
},
"Viewport": {
"experiences": [
{
"arcMinuteWidth": 246,
"arcMinuteHeight": 144,
"canRotate": false,
"canResize": false
}
],
"shape": "RECTANGLE",
"pixelWidth": 1024,
"pixelHeight": 600,
"dpi": 160,
"currentPixelWidth": 1024,
"currentPixelHeight": 600,
"touch": [
"SINGLE"
]
}
},
"request": {
"type": "IntentRequest",
"requestId": "amzn1.echo-api.request.92fc43d8-0dc2-4a08-a31a-70a031e2fef7",
"timestamp": "2018-11-16T16:51:17Z",
"locale": "en-GB",
"intent": {
"name": "Snow",
"confirmationStatus": "NONE",
"slots": {
"Place": {
"name": "Place",
"confirmationStatus": "NONE"
}
}
},
"dialogState": "STARTED"
}
}
My intents need to include the slot itself, it isn't assumed to be in there like I thought. This is done by appending {Place}.
Am trying to bring up a ubuntu container in a POD in openshift. I have setup my local docker registry and have configured DNS accordingly. Starting the ubuntu container with just docker works fine without any issues. When I deploy the POD, I can see that my docker ubuntu image is pulled successfully, but doesnt succeed in starting the same. It fails with back-off pulling image error. Is this because my entry point does not have any background process running in side the container ?
"openshift.io/container.ubuntu.image.entrypoint": "[\"top\"]",
Snapshot of the events
Deployment-config :
{
"kind": "DeploymentConfig",
"apiVersion": "v1",
"metadata": {
"name": "ubuntu",
"namespace": "testproject",
"selfLink": "/oapi/v1/namespaces/testproject/deploymentconfigs/ubuntu",
"uid": "e7c7b9c6-4dbd-11e6-bd2b-0800277bbed5",
"resourceVersion": "4340",
"generation": 6,
"creationTimestamp": "2016-07-19T14:34:31Z",
"labels": {
"app": "ubuntu"
},
"annotations": {
"openshift.io/deployment.cancelled": "4",
"openshift.io/generated-by": "OpenShiftNewApp"
}
},
"spec": {
"strategy": {
"type": "Rolling",
"rollingParams": {
"updatePeriodSeconds": 1,
"intervalSeconds": 1,
"timeoutSeconds": 600,
"maxUnavailable": "25%",
"maxSurge": "25%"
},
"resources": {}
},
"triggers": [
{
"type": "ConfigChange"
},
{
"type": "ImageChange",
"imageChangeParams": {
"automatic": true,
"containerNames": [
"ubuntu"
],
"from": {
"kind": "ImageStreamTag",
"namespace": "testproject",
"name": "ubuntu:latest"
},
"lastTriggeredImage": "ns1.myregistry.com:5000/ubuntu#sha256:6d9a2a1bacdcb2bd65e36b8f1f557e89abf0f5f987ba68104bcfc76103a08b86"
}
}
],
"replicas": 1,
"test": false,
"selector": {
"app": "ubuntu",
"deploymentconfig": "ubuntu"
},
"template": {
"metadata": {
"creationTimestamp": null,
"labels": {
"app": "ubuntu",
"deploymentconfig": "ubuntu"
},
"annotations": {
"openshift.io/container.ubuntu.image.entrypoint": "[\"top\"]",
"openshift.io/generated-by": "OpenShiftNewApp"
}
},
"spec": {
"containers": [
{
"name": "ubuntu",
"image": "ns1.myregistry.com:5000/ubuntu#sha256:6d9a2a1bacdcb2bd65e36b8f1f557e89abf0f5f987ba68104bcfc76103a08b86",
"resources": {},
"terminationMessagePath": "/dev/termination-log",
"imagePullPolicy": "Always"
}
],
"restartPolicy": "Always",
"terminationGracePeriodSeconds": 30,
"dnsPolicy": "ClusterFirst",
"securityContext": {}
}
}
},
"status": {
"latestVersion": 5,
"details": {
"causes": [
{
"type": "ConfigChange"
}
]
},
"observedGeneration": 5
}
The problem was with the http proxy. After solving that image pull was successful