How to expand tree node without ajax request? - extjs4

I am using Extjs tree, i got problem with click on nested node ajax request to server, i know this kind of lazy load but my tree is not big, around 35 items so i want request to server time only to collect all tree node and items.
Any idea?
View:
Ext.define('CRM.view.role.RoleTree' ,{
extend: 'Ext.tree.Panel',
alias: 'widget.roleTreeList',
id:'tree-role-panel',
split: false,
autoScroll: true,
lines: true,
singleExpand: false,
store: 'RoleList'
})
Store:
Ext.define('CRM.store.RoleList', {
extend: 'Ext.data.TreeStore',
storeId: 'RoleTreeStoreId',
//model: 'CRM.model.RoleList',
autoLoad: false,
proxy: {
type : 'ajax',
url : 'index.php/role/getRoleList',
async : false,
reader: {
type : 'json',
method : 'POST'
}
},
root:{
expanded:true,
text:"Organization",
leaf:'false',
id : '/',
}
})
Json return:
{
"text": "Organization",
"id": "role-1",
"children": [
{
"text": "Admin",
"id": "role-12",
"expanded": "true",
"children": [
{
"text": "MSD",
"id": "role-23",
"children": [
{
"text": "Customer Care Manager",
"id": "role-4",
"children": [
{
"text": "Customer Care Adviser",
"id": "role-5"
}
]
},
{
"text": "Solution Adviser",
"id": "role-7"
},
{
"text": "Sales Manager",
"id": "role-31",
"children": [
{
"text": "Solution Sales",
"id": "role-6"
},
{
"text": "Teritory 01 - Safy",
"id": "role-9",
"children": [
{
"text": "Sales Person 01",
"id": "role-10"
},
{
"text": "Sales Trainee 01",
"id": "role-26"
}
]
},
{
"text": "Teritory 3 - Sambo",
"id": "role-11",
"children": [
{
"text": "Sales Person 3",
"id": "role-13"
}
]
},
{
"text": "Teritory 4 - Narong",
"id": "role-14",
"children": [
{
"text": "Sales Team 4",
"id": "role-15",
"children": [
{
"text": "Sales Person 4",
"id": "role-25"
}
]
}
]
},
{
"text": "branch shv",
"id": "role-16",
"children": [
{
"text": "sales shv",
"id": "role-19"
}
]
},
{
"text": "branch btb",
"id": "role-17",
"children": [
{
"text": "sales btb",
"id": "role-20"
}
]
},
{
"text": "branch srp",
"id": "role-18",
"children": [
{
"text": "sales srp",
"id": "role-21",
"children": [
{
"text": "sales person srp",
"id": "role-28"
}
]
}
]
},
{
"text": "Retention Program",
"id": "role-22",
"children": [
{
"text": "Retention Program Analysist",
"id": "role-24"
}
]
},
{
"text": "Sales Trainee",
"id": "role-27"
},
{
"text": "Enterprise Sales Engineer",
"id": "role-29"
},
{
"text": "Meas Test",
"id": "role-30"
},
{
"text": "Teritory 02 - Kol",
"id": "role-32",
"children": [
{
"text": "Sales Person 02",
"id": "role-8"
}
]
}
]
}
]
},
{
"text": "CTO",
"id": "role-35",
"children": [
{
"text": "Support Manager",
"id": "role-2",
"children": [
{
"text": "Technical Support Adviser",
"id": "role-3"
}
]
},
{
"text": "IT BIlling Product Manager",
"id": "role-33",
"children": [
{
"text": "IT Staff",
"id": "role-34"
}
]
}
]
},
{
"text": "Business Consultant",
"id": "role-36"
}
]
}
]
}

You can still use asynchronous call, but only once. To make sure only one call is made, return all children in first call. Extjs will load all children provided.

I found my mistake with JSON, i should add property "leaf = true/false" according has child or hasn't.

Related

How to parse a JSON with missing property name into a db table

I am trying to convert JSON into an SQL table. The source is the response from a REST API. I do not have the opportunity to change the response.
The response contains data on several projects. Projects are returned as individual members of a global projects object.
As the projectid is not at the same level with the other data and also does not have a name
SELECT * FROM OPENJSON (#JSON);
fails to parse it properly. I end up with one row for projects and the json object as the value. Also without the proper way to refer to the elements I could not figure out a way to use JSON_VALUE.
Below is a sample structure. Actual data has much more properties and variations between the projects. I prefer to solve this in SQL. But any way to sort out the JSON will be appreciated. This is my first exposure to JSON. I want to ask if I am missing something very obvious...
TIA
{
"projects": {
"project1id": {
"data": {
"customer": "Cust1",
"name": "Project Name 1"
},
"projectType": "type0"
},
"project2id": {
"data": {
"customer": "Customer 2",
"name": "Name 2",
"projectManager": "Man Ager"
},
"projectType": "type2"
},
"Project3id": {
"data": {
"customer": "Another Customer",
"name": "Another Project"
},
"projectType": "type1"
}
}
}
Expected Result
ProjectId
Project Name
Customer
Project Type
Project Manager
project1id
Project Name 1
Cust 1
type0
project2id
Customer 2
type2
Man Ager
project3id
Another Project
Another Customer
type1
Excerpt from original Json:
{
"projects": {
"10000eumbvqn76": {
"data": {
"inquiryNumber": "34635",
"customer": "C AS",
"name": "E W ",
"orderNumber": "1000",
"seller": "M A",
"projectManager": "B O V",
"phase": "fulfillment",
"exchange": {
"deadline": {
"time": [
24,
0
],
"timezone": [
1,
0
]
},
"settings": {
"client": {
"codes": [
{
"id": "1",
"label": "Code 1"
},
{
"id": "4",
"label": "Code 4"
},
{
"id": "5",
"label": "Code 5"
},
{
"id": "2",
"label": "Code 2"
},
{
"id": "3",
"label": "Code 3"
}
],
"approvedCodes": [
"1"
],
"cycles": {
"producer": 21,
"consumer": 21
}
},
"clientForInformation": {
"cycles": {
"producer": 21
}
},
"supplier": {
"codes": [
{
"id": "1",
"label": "Code 1"
},
{
"id": "4",
"label": "Code 4"
},
{
"id": "5",
"label": "Code 5"
},
{
"id": "2",
"label": "Code 2"
},
{
"id": "3",
"label": "Code 3"
}
],
"approvedCodes": [
"1"
],
"cycles": {
"producer": 14,
"consumer": 14
}
},
"supplierIsProducer": {
"supplierRole": "producer"
},
"supplierIsConsumer": {
"supplierRole": "consumer"
}
},
"sequences": {
"$salesPurchase": {
"label": "Client RFQ to OC",
"settings": "supplierIsProducer",
"group": "inquiry"
},
"$salesPurchaseSupplier": {
"label": "Supplier RFQ to OC",
"settings": "supplierIsConsumer",
"group": "inquiry"
},
"$salesClient": null,
"$salesClientFrom": null,
"$client": {
"label": "To client",
"group": "order-fulfillment",
"order": [
"IFR",
"IFI"
],
"stages": {
"IFR": {
"label": "Issued for Review",
"phase": "forApproval",
"settings": "client"
},
"IFI": {
"label": "Issued for Information",
"phase": "forInformation",
"settings": "clientForInformation"
}
},
"interpret": {
"type": "unordered"
}
},
"$supplier": {
"label": "From supplier",
"group": "order-fulfillment-supplier",
"settings": "supplier"
},
"$supplierTo": {
"label": "To supplier",
"group": "order-fulfillment-supplier",
"settings": "supplierIsConsumer"
},
"$internal": null
}
},
"officialMailIdFormat": "M-1000-0001",
"transmittalMailIdFormat": "TR-1000-0001",
"commercialMailIdFormat": "Bid-34635-0001",
"officialMailIdFormats": [
{
"label": "Official",
"format": "M-1000-0001"
},
{
"label": "Commercial",
"format": "Bid-34635-0001"
}
]
},
"projectType": "commercial"
},
"1000hf30ua": {
"data": {
"inquiryNumber": "100",
"customer": "S M I Y P L",
"name": "1000 FSPO ",
"seller": "L H",
"projectManager": "L H",
"phase": "inquiry",
"exchange": {
"deadline": {
"time": [
24,
0
],
"timezone": [
1,
0
]
},
"settings": {
"client": {
"codes": [
{
"id": "1",
"label": "Code 1"
},
{
"id": "4",
"label": "Code 4"
},
{
"id": "5",
"label": "Code 5"
},
{
"id": "2",
"label": "Code 2"
},
{
"id": "3",
"label": "Code 3"
}
],
"approvedCodes": [
"1"
],
"cycles": {
"producer": 21,
"consumer": 21
}
},
"clientForInformation": {
"cycles": {
"producer": 21
}
},
"supplier": {
"codes": [
{
"id": "1",
"label": "Code 1"
},
{
"id": "4",
"label": "Code 4"
},
{
"id": "5",
"label": "Code 5"
},
{
"id": "2",
"label": "Code 2"
},
{
"id": "3",
"label": "Code 3"
}
],
"approvedCodes": [
"1"
],
"cycles": {
"producer": 14,
"consumer": 14
}
},
"supplierIsProducer": {
"supplierRole": "producer"
},
"supplierIsConsumer": {
"supplierRole": "consumer"
}
},
"sequences": {
"$salesPurchase": {
"label": "Client RFQ to OC",
"settings": "supplierIsProducer",
"group": "inquiry"
},
"$salesPurchaseSupplier": {
"label": "Supplier RFQ to OC",
"settings": "supplierIsConsumer",
"group": "inquiry"
},
"$salesClient": null,
"$salesClientFrom": null,
"$client": {
"label": "To client",
"group": "order-fulfillment",
"order": [
"IFR",
"IFI"
],
"stages": {
"IFR": {
"label": "Issued for Review",
"phase": "forApproval",
"settings": "client"
},
"IFI": {
"label": "Issued for Information",
"phase": "forInformation",
"settings": "clientForInformation"
}
},
"interpret": {
"type": "unordered"
}
},
"$supplier": {
"label": "From supplier",
"group": "order-fulfillment-supplier",
"settings": "supplier"
},
"$supplierTo": {
"label": "To supplier",
"group": "order-fulfillment-supplier",
"settings": "supplierIsConsumer"
},
"$internal": null
}
},
"officialMailIdFormat": "M-100-0001",
"transmittalMailIdFormat": "TR-100-0001",
"commercialMailIdFormat": "Bid-100-0001",
"officialMailIdFormats": [
{
"label": "Official",
"format": "M-100-0001"
},
{
"label": "Commercial",
"format": "Bid-100-0001"
}
],
"orderNumber": "100"
},
"projectType": "commercial"
}
}
}
Possible options are: 1) Using OPENJSON() twice (with default and explicit schema) and an additional APPLY operator or 2) Using OPENJSON() (with default schema) and JSON_VALUE():
JSON:
DECLARE #json nvarchar(max) = N'{
"projects":{
"project1id":{
"data":{
"customer":"Cust1",
"name":"Project Name 1"
},
"projectType":"type0"
},
"project2id":{
"data":{
"customer":"Customer 2",
"name":"Name 2",
"projectManager":"Man Ager"
},
"projectType":"type2"
},
"Project3id":{
"data":{
"customer":"Another Customer",
"name":"Another Project"
},
"projectType":"type1"
}
}
}'
Statement with OPENJSON() and APPLY operator:
SELECT j1.[key] AS projectId, j2.*
FROM OPENJSON(#json, '$.projects') j1
CROSS APPLY OPENJSON(j1.[value], '$') WITH (
name nvarchar(100) '$.data.name',
customer nvarchar(100) '$.data.customer',
projectType nvarchar(100) '$.projectType',
projectManager nvarchar(100) '$.data.projectManager'
) j2
Statement with OPENJSON() and JSON_VALUE():
SELECT
projectId = [key],
name = JSON_VALUE([value], '$.data.name'),
customer = JSON_VALUE([value], '$.data.customer'),
projectType = JSON_VALUE([value], '$.projectType'),
projectManager = JSON_VALUE([value], '$.data.projectManager')
FROM OPENJSON(#json, '$.projects')

GraphDB - 1 vertex having multiple properties

Could you please help me understand if we can have multiple array properties in 1 vertex.. For example,
"id": "CU10611973PH",
"label": "Phone-Home",
"type": "vertex",
"properties": {
"PhonePreference": [
{
"id": "c63cf5c9-329b-456e-b94e-0c500587780f",
"value": "Primary"
}
],
"PhoneType": [
{
"id": "11f241d8-8e84-479b-b6a4-aeab7e039665",
"value": "Home"
}
],
"PhoneNumber": [
{
"id": "5795e2ec-6d8c-424c-b42d-f01b587caeca",
"value": "22222222222"
}
],
"pk": [
{
"id": "CU10611973PH|pk",
"value": "pk"
}
]
}
},
{
"id": "CU10611973PC",
"label": "Phone-cell",
"type": "vertex",
"properties": {
"PhonePreference": [
{
"id": "488c54b2-f256-4053-adc5-c07ec2e1a629",
"value": "Primary"
}
],
"PhoneType": [
{
"id": "2f5263e7-f42b-487f-a185-338682a68fdd",
"value": "Cell"
}
],
"PhoneNumber": [
{
"id": "a967516d-986c-4eac-929a-b86824677922",
"value": "123456789"
}
],
"pk": [
{
"id": "CU10611973PC|pk",
"value": "pk"
So here we are having 2 vertex, one for Phone-Home and one for Phone-Cell. Is there a way to make it come under 1 vertex with 2 set of properties .

aggregate in mongodb left join with $lookup

I have three collections
posts=[
{
"id": "p1",
"title": "title 1"
},
{
"id": "p2",
"title": "title 2"
}]
users = [
{
"id": "u1",
"name": "name1"
},
{
"id": "u2",
"name": "name2"
}]
comments = [
{
"userId": "u1",
"postId": "p1",
"comment": "comment 1"
}]
I want to get all collection posts and comments in each post by userId(u1) as:
posts=[
{
"id": "p1",
"title": "title 1",
"comments":[
"userId": "u1",
"comment": "comment 1"
]
},
{
"id": "p2",
"title": "title 2",
"comments":[]
}]
I used aggregate function and $lookup operator but I don't know using the $match operator to filter userId. I used aggregate bellow:
self.db.posts.aggregate([
{
"$lookup":{
"from": "comments",
"localField": "id",
"foreignField": "postId",
"as": "comments",
}
},
{
"$match":{
"comments.userId": {"$eq": param.objectUserId}
},
},
{"$skip": (param.page - 1) * param.pageSize},
{"$limit": param.pageSize},
{"$sort": {"unixDate": pymongo.DESCENDING}}
])
It only return one post in array corresponding with userId="u1"
Please help me!
Thank all!
You have to make use of the pipeline option of $lookup stage and pass the additional conditions that you want to apply.
db.posts.aggregate([
{
"$lookup": {
"from": "comments",
"let": {
"pId": "$id"
},
"pipeline": [
{
"$match": {
"$expr": {
"$eq": [
"$postId",
"$$pId"
],
},
"userId": "u1",
},
},
{
"$project": {
"_id": 0,
"userId": 1,
"comment": 1,
},
},
],
"as": "comments"
}
}
])
Mongo Playground Sample Execution
self.db.posts.aggregate([
{
"$lookup": {
"from": "comments",
"let": {
"pId": "$id"
},
"pipeline": [
{
"$match": {
"$expr": {
"$eq": [
"$postId",
"$$pId"
],
},
"userId": param.objectUserId,
},
},
{
"$project": {
"_id": 0,
"userId": 1,
"comment": 1,
},
},
],
"as": "comments"
}
},
{"$skip": (param.page - 1) * param.pageSize},
{"$limit": param.pageSize},
{"$sort": {"unixDate": pymongo.DESCENDING}}
])

Bot duplicates user messages when I use DirectLine channel

I am using bot framework v4. I have developed a chatbot using .Net Core. The bot is integrated with LUIS and Qna Maker. One issue I am facing is that the bot duplicates the message that comes from the user. Please look at the screenshot below:
The replies I get from the bot are perfectly fine. The flow of the bot is as intended. I just cannot figure out why the message from user is being duplicated. I am using DirectLine for this. I will share whatever code part is needed.
{
"activities": [
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000000",
"timestamp": "2019-12-02T19:41:57.1284328Z",
"channelId": "directline",
"from": {
"id": "CivicDevBot",
"name": "CivicChat"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"attachments": [
{
"contentType": "application/vnd.microsoft.card.adaptive",
"content": {
"type": "AdaptiveCard",
"version": "1.0",
"body": [
{
"type": "Container",
"items": [
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"width": "auto",
"items": [
{
"type": "Image",
"size": "large",
"url": "https://i.imgur.com/ViaEUnA.png"
}
]
}
],
"horizontalAlignment": "Center"
},
{
"type": "ColumnSet",
"columns": [
{
"type": "Column",
"width": "auto",
"items": [
{
"type": "TextBlock",
"size": "large",
"weight": "bolder",
"color": "light",
"text": "Welcome to CIVIC Financial Services",
"wrap": true
},
{
"type": "TextBlock",
"size": "large",
"weight": "bolder",
"color": "light",
"text": "I am S.U.E",
"wrap": true
},
{
"type": "TextBlock",
"color": "light",
"text": "I can help you answer your questions. Familiarize yourself with CIVIC Financial Services.",
"wrap": true
},
{
"type": "TextBlock",
"color": "light",
"text": "If you want to talk to a Customer Service Agent, just type \"I want to talk to a Customer Service Agent\".",
"wrap": true
}
],
"separator": true,
"horizontalAlignment": "Left"
}
]
}
]
}
],
"actions": [
{
"type": "Action.Submit",
"data": {
"action": "aboutCivic"
},
"title": "About CIVIC"
},
{
"type": "Action.ShowCard",
"card": {
"type": "AdaptiveCard",
"actions": [
{
"type": "Action.ShowCard",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "TextBlock",
"text": "We are open from Monday through Friday from 8:00am to 6:00pm.",
"wrap": true
}
],
"style": "emphasis"
},
"title": "When are you open?"
},
{
"type": "Action.ShowCard",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "Image",
"size": "stretch",
"url": "https://i.imgur.com/gBVgI25.png",
"horizontalAlignment": "center"
},
{
"type": "TextBlock",
"text": "AZ, CA, CO, FL, GA, HI, NC, NV, OR, SC, TN, TX, UT, VA & WA",
"wrap": true
}
],
"style": "emphasis"
},
"title": "Do you have an office near me? "
},
{
"type": "Action.ShowCard",
"card": {
"type": "AdaptiveCard",
"body": [
{
"type": "TextBlock",
"text": "8 to 10 days, it all depends on how it takes to get access to the property.",
"wrap": true
}
],
"style": "emphasis"
},
"title": "How quickly can we close? "
}
],
"style": "emphasis"
},
"title": "FAQs"
}
]
}
}
],
"entities": [],
"replyToId": "8WGOnspSxN3"
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000001",
"timestamp": "2019-12-02T19:43:39.96502Z",
"serviceUrl": "https://directline.botframework.com/",
"channelId": "directline",
"from": {
"id": "r_1575315715",
"name": "",
"role": "user"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"textFormat": "plain",
"locale": "en-GB",
"text": "teeeeeeeeeeeeeeeeeeeeeeeeeeeeeeeee",
"entities": [
{
"type": "ClientCapabilities",
"requiresBotState": true,
"supportsListening": true,
"supportsTts": true
}
],
"channelData": {
"siteDomain": "https://websiteae1.stackblitz.io/"
}
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000002",
"timestamp": "2019-12-02T19:43:41.7278914Z",
"channelId": "directline",
"from": {
"id": "CivicDevBot",
"name": "CivicChat"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"text": "Sorry, I didn't understand. Consider rephrasing your question or contacting a customer agent",
"attachments": [],
"entities": [],
"replyToId": "BR1wBZw7w2852JMLobk0EC-o|0000001"
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000003",
"timestamp": "2019-12-02T20:00:25.784598Z",
"serviceUrl": "https://directline.botframework.com/",
"channelId": "directline",
"from": {
"id": "r_1575315715",
"name": "",
"role": "user"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"textFormat": "plain",
"locale": "en-GB",
"text": "helo",
"channelData": {
"siteDomain": "https://websiteae1.stackblitz.io/"
}
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000004",
"timestamp": "2019-12-02T20:00:26.5739342Z",
"channelId": "directline",
"from": {
"id": "CivicDevBot",
"name": "CivicChat"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"text": "Sorry, I didn't understand. Consider rephrasing your question or contacting a customer agent",
"attachments": [],
"entities": [],
"replyToId": "BR1wBZw7w2852JMLobk0EC-o|0000003"
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000005",
"timestamp": "2019-12-02T20:00:27.3293896Z",
"serviceUrl": "https://directline.botframework.com/",
"channelId": "directline",
"from": {
"id": "r_1575315715",
"name": "",
"role": "user"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"textFormat": "plain",
"locale": "en-GB",
"text": "hello",
"channelData": {
"siteDomain": "https://websiteae1.stackblitz.io/"
}
},
{
"type": "message",
"id": "BR1wBZw7w2852JMLobk0EC-o|0000006",
"timestamp": "2019-12-02T20:00:27.6064185Z",
"channelId": "directline",
"from": {
"id": "CivicDevBot",
"name": "CivicChat"
},
"conversation": {
"id": "BR1wBZw7w2852JMLobk0EC-o"
},
"text": "Hello",
"inputHint": "acceptingInput",
"attachments": [],
"entities": [],
"replyToId": "BR1wBZw7w2852JMLobk0EC-o|0000005"
}
],
"watermark": "6"
}

Extracting values from a JSON string

I want to retrieve the different tag values in an NSString.
NSString *test =
{
"data": [
{
"id": "100002319144563_125257217561582",
"from": {
"name": "Umair Ahmed",
"id": "100002319144563"
},
"message": "Hello Umair Here",
"actions": [
{
"name": "Comment",
"link": "http://www.facebook.com/100002319144563/posts/125257217561582"
},
{
"name": "Like",
"link": "http://www.facebook.com/100002319144563/posts/125257217561582"
}
],
"privacy": {
"description": "Everyone",
"value": "EVERYONE"
},
"type": "status",
"application": {
"name": "iPhone",
"id": "213257025359930"
},
"created_time": "2011-07-08T11:59:15+0000",
"updated_time": "2011-07-08T11:59:15+0000"
},
{
"id": "100002319144563_125251050895532",
"from": {
"name": "Umair Ahmed",
"id": "100002319144563"
},
"message": "Hello testing testing",
"actions": [
{
"name": "Comment",
"link": "http://www.facebook.com/100002319144563/posts/125251050895532"
},
{
"name": "Like",
"link": "http://www.facebook.com/100002319144563/posts/125251050895532"
}
]
}
]
}
How can I retrieve the name and message tag values into an array or dictionary?
It looks like a JSON string, so just use one of JSON libraries, like TouchJSON or JSONKit and you can easily extract the data from the structures they will provide you.