How to create multiple reocrds of Ext.data.Model - extjs4.2

I have this code:
Ext.define('mObject', {
extend: 'Ext.data.Model',
fields: [
{name: 'text', type: 'string'},
{name: 'x', type: 'int', convert: null},
{name: 'y', type: 'int', convert: null}
]
});
var obj = Ext.create('mObject', {
text : 'test test',
x : 100,
y : 24
});
How can I add more records? and is there any way to go to a specific record by a field value, I mean if I have 200 records and I ant to navigate to a record with name='yaya' do I have to go through all records and search for 'yaya' or there is alternative way?

Thank you all,
Ext.define('mObject', {
extend: 'Ext.data.Model',
fields: [
{name: 'text', type: 'string'},
{name: 'x', type: 'int', convert: null},
{name: 'y', type: 'int', convert: null}
]}
});
var mObject=Ext.create('Ext.data.Store', {
model: 'mObject',
data : []
});
mObject.add({text: 'sample1', x: 34, y:544});
mObject.add({text: 'sample2', x: 243, y:76});
mObject.add({text: 'sample3', x: 54, y:123});
mObject.add({text: 'sample4', x: 67, y:43});
mObject.add({text: 'sample5', x: 12, y:655});
var indx=mObject.find('text','sample4');
alert( mObject.getAt(indx).get('text'));

Related

How to display multiple lines in eCharts using encode?

In eCharts, how do I modify the following option to show multiple lines in the chart? What I want is one line for product "Matcha Latte" and one line for "Cheese Cocao"? I would like to keep the dataset unchanged if possible.
option = {
legend: {},
tooltip: {},
dataset: {
dimensions: [{name:'product', type:'ordinal'}, {name:'date'},
{name:'value'}],
source: [
{product: 'Matcha Latte', 'date': 2016, 'value': 85.8},
{product: 'Matcha Latte', 'date': 2017, 'value': 73.4},
{product: 'Cheese Cocoa', 'date': 2016, 'value': 65.2},
{product: 'Cheese Cocoa', 'date': 2017, 'value': 53.9}
]
},
xAxis: {type: 'category', name: 'date'},
yAxis: {type: 'value', name: 'value'},
series: [
{type: 'line', encode: {x: 'date', y:'value'}},
]
};
you can you transform the dataset by using a filter:
option = {
legend: {},
tooltip: {},
dataset: [
{
dimensions: [
{ name: 'product', type: 'ordinal' },
{ name: 'date' },
{ name: 'value' }
],
source: [
{ product: 'Matcha Latte', date: 2016, value: 85.8 },
{ product: 'Matcha Latte', date: 2017, value: 73.4 },
{ product: 'Cheese Cocoa', date: 2016, value: 65.2 },
{ product: 'Cheese Cocoa', date: 2017, value: 53.9 }
]
},
{
fromDatasetIndex: 0,
transform: [
{
type: 'filter',
config: {
dimension: 'product',
value: 'Matcha Latte'
}
}
]
},
{
fromDatasetIndex: 0,
transform: [
{
type: 'filter',
config: {
dimension: 'product',
value: 'Cheese Cocoa'
}
}
]
}
],
xAxis: { type: 'category', name: 'date' },
yAxis: { type: 'value', name: 'value' },
series: [
{ datasetIndex: 1, type: 'line', encode: { x: 'date', y: 'value' } },
{ datasetIndex: 2, type: 'line', encode: { x: 'date', y: 'value' } }
]
};

Multiple bars with same category name show differently based on array of arrays or array of objects

I noticed that using
option = {
xAxis: {
type: 'category',
},
yAxis: {
type: 'value'
},
series: [ {
type: 'bar',
data: [
{ name: 'Sun', value: 50 },
{ name: 'Sun', value: 80 },
{ name: 'Mon', value: 100 }
]
}]
}
There are two bars with category as 'Sun'. But if I use
option = {
xAxis: {
type: 'category',
},
yAxis: {
type: 'value'
},
series: [{
type: 'bar',
data: [
['Sun',50],
['Sun',80],
['Mon',100]
]
}]
}
I see only one bar for 'Sun' with both data elements overlapping. Why does it work with array of objects differently? Also, if instead of using inline data, if I use dataset, then both array of arrays and array of objects behave the same where there is only one bar with overlap.
The reason I am looking for clarity on this is, I have a visualMap with a different attribute for color which makes the data repeat. I am trying to figure out if I need to create separate series or use the same series.
In general is bad idea to naming data points the same name. Strange that the data in the first case did not merge... If you need make the group then in the Echarts it's named stack. For the stack you can use the same name and it will be joined into one group.
VisualMap usually the global option and affects all series but you can limit with seriesIndex.
var myChart = echarts.init(document.getElementById('main'));
var option = {
xAxis: {
data: ["Cat1", "Cat2", "Cat3", "Cat4", "Cat5", "Cat6"]
},
visualMap: {
type: 'continuous',
range: [0, 70],
seriesIndex: 2,
color: ['green', 'blue', 'red'],
},
yAxis: {},
series: [{
name: 'Series1',
stack: 'group1',
type: 'bar',
data: [5, 20, 36, 10, 10, 20],
color: 'lightgray'
}, {
name: 'Series2',
stack: 'group1',
type: 'bar',
data: [5, 20, 36, 10, 10, 20],
color: 'gray'
}, {
name: 'Series3',
stack: 'group2',
type: 'bar',
data: [50, 20, 70, 10, 60, 40],
}]
};
myChart.setOption(option);
<script src="https://cdn.jsdelivr.net/npm/echarts#4.9.0/dist/echarts.min.js"></script>
<div id="main" style="width: 600px;height:400px;"></div>

Echarts show additional info in tooltip

I am using echarts for a scatter plot. Upon hover of a point, I want to show some more data in the tooltip, such as a date and unique ID - this data is not an axis in the plot. So far I have the following below, however I cannot figure out how to display the extra info
option = {
xAxis: {
type: 'value',
name: 'X axis title',
nameLocation: 'middle',
nameGap: 50,
nameTextStyle: {
fontSize: 12
}
},
yAxis: {
type: 'value',
name: 'Y axis title',
nameLocation: 'middle',
nameGap: 70,
nameTextStyle: {
fontSize: 12
}
},
dataZoom: [{
type: 'inside'
}],
legend: {
orient: 'vertical',
left: 10
},
grid: {
top: 80,
containLabel: true,
},
tooltip: {
trigger: "item"
},
series: [{
name: 'Outliers (Forensic Cases)',
type: 'scatter',
data: [[161.2, 51.6], [167.5, 59.0], [159.5, 49.2], [157.0, 63.0], [155.8, 53.6]
]],
}, {
name: 'Inliers (Regular Transaction)',
type: 'scatter',
data: [[172.7, 105.2], [153.4, 42]]
}]
};
;
Thanks for config, it saves time.
The tooltip component has method formatter and you can pass to it function-callback where to make request to addition data store to get and show on tooltip necessary information.
Suppose you have an object that stored additional information that needs to be shown in the tooltip:
var store = {
outliers: ['A', 'B', 'C', 'D', 'E', 'F'],
inliers: ['A', 'B', 'C', 'D', 'E', 'F']
}
Let's add id to the each data series, which will simplify data fetching.
{
id: 'outliers', // <--- this
name: 'Outliers (Forensic Cases)',
...
},
{
id: 'inliers', // <--- this
name: 'Inliers (Regular Transaction)',
...
}
In the callback you will have this default args:
{
$vars: ["seriesName", "name", "value"],
borderColor: undefined,
color: "#c23531",
componentIndex: 0,
componentSubType: "scatter",
componentType: "series",
data: [159.5, 49.2],
dataIndex: 2,
dataType: undefined,
dimensionNames: ["x", "y"],
encode: {
x: [0],
y: [1]
},
marker: "<span style=\"display:inline-block;margin-right:5px;border-radius:10px;width:10px;height:10px;background-color:#c23531;\"></span>",
name: "",
seriesId: "outliers",
seriesIndex: 0,
seriesName: "Outliers (Forensic Cases)",
seriesType: "scatter",
value: [circular object Array]
}
Let's make the callback handler for the process series data and shown it on the tooltip:
var callback = (args) => {
var data = store[args.seriesId][args.dataIndex]
return args.marker + ' ' + args.value[1] + '<br />' + args.seriesId + ': ' + data
}
Now you can pass callback to formatter. It's all. See example below:
var myChart = echarts.init(document.getElementById('main'));
var store = {
outliers: ['A', 'B', 'C', 'D', 'E', 'F'],
inliers: ['A', 'B', 'C', 'D', 'E', 'F']
}
var callback = (args) => {
var data = store[args.seriesId][args.dataIndex]
return args.marker + ' ' + args.value[1] + '<br />' + args.seriesId + ': ' + data
}
var option = {
xAxis: {
type: 'value',
name: 'X axis title',
nameLocation: 'middle',
nameGap: 50,
nameTextStyle: {
fontSize: 12
}
},
yAxis: {
type: 'value',
name: 'Y axis title',
nameLocation: 'middle',
nameGap: 70,
nameTextStyle: {
fontSize: 12
}
},
dataZoom: [{
type: 'inside'
}],
legend: {
orient: 'vertical',
left: 10
},
grid: {
top: 80,
containLabel: true,
},
tooltip: {
trigger: "item",
formatter: callback,
},
series: [{
id: 'outliers',
name: 'Outliers (Forensic Cases)',
type: 'scatter',
data: [
[161.2, 51.6],
[167.5, 59.0],
[159.5, 49.2],
[157.0, 63.0],
[155.8, 53.6]
],
},
{
id: 'inliers',
name: 'Inliers (Regular Transaction)',
type: 'scatter',
data: [
[172.7, 105.2],
[153.4, 42]
]
}
]
}
myChart.setOption(option);
<script src="https://cdn.jsdelivr.net/npm/echarts#4.9.0/dist/echarts.min.js"></script>
<div id="main" style="width: 600px;height:400px;"></div>

Complex MongoDB query aggregate

I've a document representing a house embedding many rooms. The structure is this.
{
description: 'House'
total_price: 1000,
rooms: [{
description: 'Small Single Room',
type: single,
available: true,
price: 300
}, {
description: 'Big Single Room',
type: single,
price: 400,
available: true
}, {
description: 'Another Room',
type: single,
price: 300,
available: true
}]
}
I'm having hard time to solve this question: how can I get all houses having available single rooms for a total price of 700.
To do this I need what follows.
set a condition on some embedded document properties
set a condition on the sum of the available embedded rooms
set a condition on the sum
At the moment I'm trying to understand how this can be done. I've been looking to aggregate and other methods, but I couldn't find a working solution.
Thanks a lot.
Here is one approach that you could use. Save remaining rooms and remaining price at root level (initialize with total price and total rooms). Whenever you set available as false for a room, subtract the price and count from remaining_price and remaining_rooms.
{
description: 'House'
total_price: 1000,
remaining_price: 700,
remaining_rooms: 2,
rooms: [{
description: 'Small Single Room',
type: single,
available: false,
price: 300
}, {
description: 'Big Single Room',
type: single,
price: 400,
available: true
}, {
description: 'Another Room',
type: single,
price: 300,
available: true
}]
}
Now you can simply query the rooms you want using (I am writing the query using mongoid, which you can convert to whatever you are using):
House.where(:remaining_price.lte => 700, :remaining_rooms.gte => 2).to_a
Here's an aggregation framework answer.
Note that the first $match filters documents at the collection level
and uses $elemMatch for matching both type and availability on an array element.
In order to do the sum of the prices of the available rooms for a house,
the unavailable rooms are necessarily filtered out and lost.
Addition fields in the $group stage preserve data for viewing,
but it may be more appropriate for your app to fetch full docs via the _id's.
Hope that this answers your question in its original intent
and demonstrates the power of the aggregation framework.
test/unit/house_test.rb
require 'test_helper'
require 'pp'
class HouseTest < ActiveSupport::TestCase
def setup
House.delete_all
end
test "complex aggregate query" do
puts "\nMongoid::VERSION:#{Mongoid::VERSION}\nMoped::VERSION:#{Moped::VERSION}"
total_price_limit = 700
pipeline = [
{'$match' => {'rooms' => {'$elemMatch' => {'type' => 'single', 'available' => true}}}},
{'$unwind' => "$rooms"},
{'$match' => {'rooms.available' => true}},
{'$group' => {
'_id' => '$_id',
'description' => {'$last' => '$description'},
'total_price_available' => {'$sum' => '$rooms.price'},
'rooms' => {'$push' => '$rooms'},
}
},
{'$match' => {'total_price_available' => {'$lte' => total_price_limit}}},
{'$sort' => {'total_price_available' => 1}},
]
docs = [
{
description: 'House 1',
total_price: 1000,
rooms: [{
description: 'Small Single Room',
type: 'single',
available: true,
price: 300
}, {
description: 'Big Single Room',
type: 'single',
price: 400,
available: true
}, {
description: 'Another Room',
type: 'single',
price: 300,
available: true
}]
},
{
description: 'House 2',
total_price: 600,
rooms: [{
description: 'Small Single Room',
type: 'single',
available: true,
price: 300
}, {
description: 'Big Single Room',
type: 'single',
price: 400,
available: false
}, {
description: 'Another Room',
type: 'single',
price: 300,
available: true
}]
}
]
docs.each { |house| House.create(house) }
pp House.collection.aggregate(pipeline)
end
end
$ rake test
Run options:
# Running tests:
[1/1] HouseTest#test_complex_aggregate_query
Mongoid::VERSION:3.1.5
Moped::VERSION:1.5.1
[{"_id"=>"5272dbe2e4d30b7e0a000002",
"description"=>"House 2",
"total_price_available"=>600,
"rooms"=>
[{"description"=>"Small Single Room",
"type"=>"single",
"available"=>true,
"price"=>300},
{"description"=>"Another Room",
"type"=>"single",
"price"=>300,
"available"=>true}]}]
Finished tests in 0.046359s, 21.5708 tests/s, 0.0000 assertions/s.
1 tests, 0 assertions, 0 failures, 0 errors, 0 skips

Chained Selectfields -- Sencha Touch 2.0

I am using the Sencha Touch 2.0 KitchenSink example to try to learn some of the basics. I am getting stuck on chained selectfields though.
I am going off the tutorial here but with the different setup I am being thrown off. The code below runs perfectly in the Forms.js file in kitchensink, but I am missing on the actual chainedselect part of it.
EDIT: What I am asking is how to make chained selectfields. I have the datastores and the selectfields in the example code, but not a working chained selectfield from first to second.
Ext.regModel('First', {
idProperty: 'FirstID',
fields: [{
name: 'FirstID',
type: 'int'
}, {
name: 'FirstName',
type: 'string'
}]
});
Ext.regModel('Second', {
idProperty: 'SecondID',
fields: [{
name: 'SecondID',
type: 'int'
},{
name: 'FirstID',
type: 'int'
}, {
name: 'SecondName',
type: 'string'
}]
});
var firstStore = new Ext.data.Store({
model: 'First',
data: [{
FirstID: 1,
FirstName: 'Kenworth'
}, {
FirstID: 2,
FirstName: 'Peterbilt'
}],
autoLoad: true
});
var secondStore = new Ext.data.Store({
model: 'First',
data: [{
SecondID: 1,
FirstID: 1,
SecondName: 'T800'
}, {
SecondID: 2,
FirstID: 1,
SecondName: 'T700'
}, {
SecondID: 3,
FirstID: 1,
SecondName: 'T660'
}, {
SecondID: 4,
FirstID: 1,
SecondName: 'T470'
}],
autoLoad: true
});
Ext.define('Kitchensink.view.Forms', {
extend: 'Ext.tab.Panel',
requires: [
'Ext.form.Panel',
'Ext.form.FieldSet',
'Ext.field.Number',
'Ext.field.Spinner',
'Ext.field.DatePicker',
'Ext.field.Select',
'Ext.field.Hidden'
],
config: {
activeItem: 0,
tabBar: {
// docked: 'bottom',
ui: 'dark',
layout: {
pack: 'center'
}
},
items: [
{
title: 'Basic',
xtype: 'formpanel',
id: 'basicform',
iconCls: 'refresh',
items: [
{
xtype: 'fieldset',
title: 'Enter Data',
instructions: 'Please enter the information above.',
defaults: {
labelWidth: '35%'
},
items: [
{
xtype: 'selectfield',
name: 'firstfield',
label: 'First',
store: firstStore,
displayField: 'FirstName',
valueField: 'FirstID'
}, {
xtype: 'selectfield',
name: 'secondfield',
label: 'Second',
store: secondStore,
displayField: 'SecondName',
valueField: 'SecondID'
}
]
}
]
}
]
},
onFirstChange: function(selectField, value){
var secondSelectField = this.items.get(1);
secondSelectField.store.clearFilter(); // remove the previous filter
// Apply the selected Country's ID as the new Filter
secondSelectField.store.filter('FirstID', value);
// Select the first City in the List if there is one, otherwise set the value to an empty string
var firstValue = secondSelectField.store.getAt(0);
if(firstValue){
secondSelectField.setValue(firstValue.data.SecondID);
} else {
secondSelectField.setValue('');
}
}
});