Related
I am new with aframe. I don't know if it's a problem or if aframe works like this by default.
When I try to walk in the VR with my mobile phone it doesn't work, but if I walk using AR it works.
Could you tell me if aframe works like this or is it something I'm doing wrong.
Thank you so much.
This is my code
import React from 'react';
import './styles/VirtualReality.css';
import scene from '../assets/scenes/scenario.gltf';
export default function VirtualReality() {
return (
<React.Fragment>
<a-scene vr-mode-ui="enabled: true; cardboardModeEnabled: true;">
<a-asset>
<a-asset-item
id="data"
src='[{"x": 1, "y": 8, "z": 0, "size": 1, "color": "#ff0000"},
{"x": -2, "y": 3, "z": 1, "size": 1.5, "color": "#00ff00"},
{"x": -1, "y": 3, "z": 2, "size": 1, "color": "#0000ff"},
{"x": 2, "y": 7, "z": 7, "size": 1.5, "color": "#0000ff"},
{"x": 1, "y": 6, "z": 3, "size": 1, "color": "#4CC3D9"}]'
></a-asset-item>
</a-asset>
<a-sky gltf-model={scene} color="#ECECEC"></a-sky>
<a-entity
charts="type: bar; dataPoints: #data; axis_length: 12; axis_negative: false; axis_grid: true"
scale="0.15 0.15 0.15"
position="-6 1 -10"
></a-entity>
</a-scene>
</React.Fragment>
);
}
I am using react. And in the scene I am using the default camera.
I tried to walk in VR using aframe, but it didn't work, it just stays in a fixed position, although I can look around. I thought in VR you could walk around just like you do in AR mode.
hi I want to use whereIn to get data from a table :
$values = DB::table('attribute_product')->whereIn('value_id' , [1,5])->get();
but I want to get columns that have all [1,5] items not just one of the array item
my table data :
{
"attribute_id": 1,
"product_id": 1,
"value_id": 1
},
{
"attribute_id": 12,
"product_id": 1,
"value_id": 2
},
{
"attribute_id": 13,
"product_id": 1,
"value_id": 3
},
{
"attribute_id": 14,
"product_id": 1,
"value_id": 4
},
{
"attribute_id": 1,
"product_id": 8,
"value_id": 1
},
{
"attribute_id": 12,
"product_id": 8,
"value_id": 5
},
{
"attribute_id": 13,
"product_id": 8,
"value_id": 10
},
{
"attribute_id": 14,
"product_id": 8,
"value_id": 11
}
I want just return that have both value_ids [1,5]:
"attribute_id": 1,
"product_id": 8,
"value_id": 1
},
{
"attribute_id": 12,
"product_id": 8,
"value_id": 5
},
but that code I wrote above returns:
{
"attribute_id": 1,
"product_id": 1,
"value_id": 1
},
"attribute_id": 1,
"product_id": 8,
"value_id": 1
},
{
"attribute_id": 12,
"product_id": 8,
"value_id": 5
},
This should work:
$values = [1, 5];
$filtered = DB::table('attribute_product')
->whereIn('value_id', $values)
->get()
->groupBy('product_id')
->filter(function ($product) use ($values) {
return $product->pluck('value_id')
->intersect($values)
->count() === count($values)
})
->flatten();
PS: I don't like this solution too much since it does the calculation in memory. You should make use of relationships to do this at database level.
You can Use Laravel groupBy
$values = DB::table('attribute_product')->orderBy('product_id', 'desc')->whereIn('value_id', [1, 5])->groupBy('value_id')->get();
I recreated the database sample you shared:
INSERT INTO
attribute_product(attribute_id, product_id, value_id)
VALUES
(1, 1, 1), (12, 1, 2), (13, 1, 3), (14, 1, 4), (1, 8, 1), (12, 8, 5), (13, 8, 10), (14, 8, 11);
Came out with this raw query:
SELECT
attribute_product.*,
SUM(value_id) as filter
FROM
`attribute_product`
WHERE
value_id IN(1, 5)
GROUP BY
product_id
HAVING
filter = 6;
Then built the query with the Illuminate\Database\Query\Builder
$filter = [1, 5];
DB::table('attribute_product')
->groupBy('product_id')
->select([
'attribute_product.*',
DB::raw("SUM(value_id) as filter"),
])
->whereIn('value_id', $filter)
->having('filter', '=', array_sum($filter))
->get();
This solution gets completely managed by the database engine which avoid your server the load of manipulating Collections.
Opinion
I feel that this is a tricky way to reach your goal, which imply for me that your database design doesn't fit very well the business logic/use cases.
I think that a good database design helps doing complex data retrieve with simple queries (Using joins of course) or intuitive Eloquent Relationships
OLD ANSWER
$filter_value_id = [1, 5];
$values_by_product = DB::table('attribute_product')
->whereIn('value_id', $filter_value_id)
->get()
->groupBy('product_id');
foreach ($values_by_product as $product => $value) {
echo "product id: $product<br>";
if ($value->count() === sizeof($filter_value_id))
dump($value);
}
I am trying to implement my first project in Laravel that will contain APIs, more specifically the Sportmonks API. What is the best way to get the data and display it in my view?
I have managed to display some of the data, but I do not know the correct way to display the data from the "standings", as well as from the tables that it has in it (overall, home, away, total)
API returns
{
"data": [{
"id": 77447501,
"name": "1st Phase",
"league_id": 501,
"season_id": 17141,
"round_id": 195000,
"round_name": 33,
"type": "Group Stage",
"stage_id": 77447501,
"stage_name": "1st Phase",
"resource": "stage",
"standings": {
"data": [{
"position": 1,
"team_id": 62,
"team_name": "Rangers",
"round_id": 195000,
"round_name": 33,
"group_id": null,
"group_name": null,
"overall": {
"games_played": 33,
"won": 28,
"draw": 5,
"lost": 0,
"goals_scored": 78,
"goals_against": 10,
"points": 89
},
"home": {
"games_played": 16,
"won": 16,
"draw": 0,
"lost": 0,
"goals_scored": 47,
"goals_against": 2,
"points": 48
},
"away": {
"games_played": 17,
"won": 12,
"draw": 5,
"lost": 0,
"goals_scored": 31,
"goals_against": 8,
"points": 41
},
"total": {
"goal_difference": "68",
"points": 89
},
"result": "Championship Round",
"points": 89,
"recent_form": "WWWWD",
"status": null
}],....
}
}]
}
Controller
public function index() {
$response = Http::get('apiurl');
$response->json();
$result = json_decode($response, true);
$matches = $result['data'];
return view('/api', compact('matches'));
}
Instead of returning json you can return object
$response = Http::get('apiurl');
$result=$response->object();
$matches=$result->data;
return view('/api', compact('matches'));
then in your view
#foreach($matches as $match)
#foeach($match->standings->data as $standing)
{{$standing->team_name??null}}
#endforeach
#endforeach
I have a legacy .swf file that my team used to create a custom map.
The .swf file looks like this with following format:
{
"Signature": "CWS",
"Version": 8,
"FileLength": 87736,
"FrameSize": {
"Xmin": 0,
"Xmax": 14400,
"Ymin": 0,
"Ymax": 10000
},
"FrameRate": 12,
"FrameCount": 1,
"Tags": [
{
"TagName": "FileAttributes",
"Length": 4,
"Reserved": 0,
"HasMetaData": 0,
"SWFFlagsAS3": 0,
"SWFFlagsNoCrossDomainCache": 0,
"SWFFlagsUseNetwork": 0,
"UNDEFINED": 0
},
{
"TagName": "SetBackgroundColor",
"Length": 3,
"BackgroundColor": [
51,
51,
51
]
},
{
"TagName": "Protect",
"Length": 0
},
{
"TagName": "DefineShape4",
"Length": 309,
"ShapeId": 1,
"ShapeBounds": {
"Xmin": 10629,
"Xmax": 12137,
"Ymin": 4084,
"Ymax": 4748
},
"EdgeBounds": {
"Xmin": 10630,
"Xmax": 12136,
"Ymin": 4085,
"Ymax": 4747
},
"Reserved": 0,
"UsesFillWindingRule": 0,
"UsesNonScalingStrokes": 0,
"UsesScalingStrokes": 1,
"Shapes": {
"FillStyles": [
{
"FillStyleType": 0,
"FillStyleName": "solid fill",
"Color": [
255,
255,
102,
255
]
}
],
"LineStyles": [
{
"Width": 2,
"StartCapStyle": 0,
"JoinStyle": 0,
"HasFillFlag": 0,
"NoHScaleFlag": 0,
"NoVScaleFlag": 0,
"PixelHintingFlag": 0,
"Reserved": 0,
"NoClose": 0,
"EndCapStyle": 0,
"Color": [
255,
255,
255,
255
]
},
{
"Width": 2,
"StartCapStyle": 0,
"JoinStyle": 0,
"HasFillFlag": 0,
"NoHScaleFlag": 0,
"NoVScaleFlag": 0,
"PixelHintingFlag": 0,
"Reserved": 0,
"NoClose": 0,
"EndCapStyle": 0,
"Color": [
255,
255,
102,
255
]
}
],
"FillBits": 1,
"LineBits": 2,
"ShapeRecords": [
{
"RecordType": "stylechange",
"MoveDeltaX": 10630,
"MoveDeltaY": 4306,
"LineStyle": 1
},
{
"RecordType": "straightedge",
"LineType": "General",
"DeltaX": 23,
"DeltaY": -1
},
},
}
What format is this? and is there a way to convert this to GeoJson format so I can use it with d3.js?
To be specific, this is the data data for US combatant command(COCOM) map. I could not find the GeoJson format of this map in the entire Internet, so my only hope is to covert the legacy data into GeoJson
I ended up drawing my own cocom map using Geojson.io. I don't think there is a simple way to convert ShapeRecord to GeoJson since it is a completely different coordinate system.
The total number of data is 1 billion.
When I configure an index by setting some fields of data as nested objects, the number of data increases and the index size increases.
There are about 20 nested objects in a document.
When I index 1 billion documents, the number of indexes is 20 billion, and the index size is about 20TB.
However, when I remove nested objects, the number of indexes is 1 billion, and the index size is about 5TB.
It's simply removed nested object and can not provide services with this index structure.
I know why nested objects have a higher index count than a simple object configuration.
But I ask why the index is four times larger and how to fix it.
version of elasticsearch : 5.1.1
The Sample Data is as follows:
nested object Mapping : idds, ishs, resources, versions
{
"fileType": {
"asdFormat": 1
},
"dac": {
"pe": {
"cal": {
"d1": -4634692645508395000,
"d2": -5805223225419042000,
"d3": -1705264433
},
"bytes": "6a7068e0",
"entry": 0,
"count": 7,
"css": {
"idh": 0,
"ish": 0,
"ifh": 0,
"ioh": 0,
"ish": 0,
"ied": 0,
"exp": 0,
"imp": 0,
"sec": 0
},
"ff": {
"field1": 23117,
"field2": 144,
"field3": 3,
"field4": 0,
"field5": 4,
"field6": 0,
"field7": 65535,
"field8": 0,
"field9": 184,
"field10": 0,
"field11": 0,
"field12": 0,
"field13": 64,
"field14": 0,
"field15": 40104,
"field16": 64563,
"field17": 0,
"field18": 0,
"field19": 0,
"field20": 0,
"field21": 0,
"field22": 0,
"field23": 0,
"field24": 0,
"field25": 0,
"field26": 0,
"field27": 0,
"field28": 0,
"field29": 0,
"field30": 0,
"field31": 224
},
"ifh": {
"mc": 332,
"nos": 3,
"time": 1091599505,
"ps": 0,
"ns": 0,
"soh": 224,
"chart": 271
},
"ioh": {
"magic": 267,
"mlv": 7,
"nlv": 10,
"soc": 80384,
"soid": 137216,
"soud": 0,
"aep": 70290,
"boc": 4096,
"bod": 86016,
"aib": "16777216",
"si": 4096,
"fa": 512,
"mosv": 5,
"nosv": 1,
"miv": 5,
"niv": 1,
"msv": 4,
"nsv": 0,
"wv": 0,
"si": 262144,
"sh": 1024,
"cs": 0,
"ss": 2,
"dllchart": 32768,
"ssr": "262144",
"ssc": "262144",
"ssh": "1048576",
"shc": "4096",
"lf": 0,
"nor": 16
},
"idds": [
{
"id": 1,
"address": 77504,
"size": 300
},
{
"id": 2,
"address": 106496,
"size": 134960
},
{
"id": 6,
"address": 5264,
"size": 28
},
{
"id": 11,
"address": 592,
"size": 300
},
{
"id": 12,
"address": 4096,
"size": 1156
}
],
"ishs": [
{
"id": 0,
"name": ".text",
"size": 79920,
"address": 4096,
"srd": 80384,
"ptr": 1024,
"ptrl": 0,
"ptl": 0,
"nor": 0,
"nol": 0,
"chart": 3758096480,
"ex1": 60404022,
"ex2": 61903965,
"ex": 61153993.5
},
{
"id": 1,
"name": ".data",
"size": 17884,
"address": 86016,
"srd": 2048,
"ptr": 81408,
"ptrl": 0,
"ptl": 0,
"nor": 0,
"nol": 0,
"chart": 3221225536,
"ex1": 27817394,
"ex2": -1,
"ex": 27817394
},
{
"id": 2,
"name": ".rsrc",
"size": 155648,
"address": 106496,
"srd": 135680,
"ptr": 83456,
"ptrl": 0,
"ptl": 0,
"nor": 0,
"nol": 0,
"chart": 3758096448,
"ex1": 38215005,
"ex2": 46960547,
"ex": 42587776
}
],
"resources": [
{
"id": 2,
"count": 3,
"hash": 658696779440676200
},
{
"id": 3,
"count": 14,
"hash": 4671329014159995000
},
{
"id": 5,
"count": 30,
"hash": -6413921454731808000
},
{
"id": 6,
"count": 17,
"hash": 8148183923057157000
},
{
"id": 14,
"count": 4,
"hash": 8004262029246967000
},
{
"id": 16,
"count": 1,
"hash": 7310592488525726000
},
{
"id": 2147487240,
"count": 2,
"hash": -7466967570237519000
}
],
"upx": {
"path": "xps",
"d64": 3570326159822345700
},
"versions": [
{
"language": 1042,
"codePage": 1200,
"companyName": "Microsoft Corporation",
"fileDescription": "Files and Settings Transfer Wizard",
"fileVersion": "5.1.2600.2180 (xpsp_sp2_rtm.040803-2158)",
"internalName": "Microsoft",
"legalCopyright": "Copyright (C) Microsoft Corp. 1999-2000",
"originalFileName": "calc.exe",
"productName": "Microsoft(R) Windows (R) 2000 Operating System",
"productVersion": "5.1.2600.2180"
}
],
"import": {
"dll": [
"GDI32.dll",
"KERNEL32.dll",
"USER32.dll",
"ole32.dll",
"ADVAPI32.dll",
"COMCTL32.dll",
"SHELL32.dll",
"msvcrt.dll",
"comdlg32.dll",
"SHLWAPI.dll",
"SETUPAPI.dll",
"Cabinet.dll",
"LOG.dll",
"MIGISM.dll"
],
"count": 14,
"d1": -149422985349905340,
"d2": -5344971616648705000,
"d3": 947564411044974800
},
"ddSec0": {
"d1": -3007779250746558000,
"d4": -2515772085422514700
},
"ddSec2": {
"d2": -4422408392580008000,
"d4": -8199520081862749000
},
"ddSec3": {
"d1": -8199520081862749000
},
"cdp": {
"d1": 787971,
"d2": 39,
"d3": 101980696,
"d4": 3,
"d5": 285349133
},
"cde": {
"d1": 67242500,
"d2": 33687042,
"d3": 218303490,
"d4": 1663632132,
"d5": 0
},
"cdm": {
"d1": 319293444,
"d2": 2819,
"d3": 168364553,
"d4": 50467081,
"d5": 198664
},
"cdb": {
"d1": 0,
"d2": 0,
"d3": 0,
"d4": 0,
"d5": 0
},
"mm": {
"d0": -3545367393134139000,
"d1": 1008464166428372900,
"d2": -6313842304565328000,
"d3": -5015640502060250000
},
"ser": 17744,
"ideal": 0,
"map": 130,
"ol": 0
}
},
"fileSize": 219136
}