how to create a angular table row to have a collapsed row - json

I have a table which will have collapsed rows that have 2nd level info, but not all the rows will have this 2nd level data.
How can i write a controller to only show a 2nd level collapse row if the JSON script has a 2nd level?

With the following json defined in your controller:
$scope.cakes = [{ "id": "0001", "type": "donut", "name": "Cake",
"ppu": 0.55, "batters": "whatever",
"topping": [ { "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" } ] },
{ "id": "0002", "type": "cupcake", "name": "Cupcake",
"ppu": 0.60, "batters": "whatever",
"topping": [] },
{ "id": "0003", "type": "muffin", "name": "Muffin",
"ppu": 0.25, "batters": "whatever",
"topping": [] }
];
you can selectively show a second row in a table where cake.topping.length is greater than 0:
<table>
<tr ng-repeat-start="cake in cakes">
<td>{{cake.type}}</td><td>{{cake.name}}</td>
</tr>
<tr ng-repeat-end ng-show="cake.topping.length>0">
<td ng-repeat="t in cake.topping">{{t.type}}</td>
</tr>
</table>

Related

JSON Parsing a Plain Text File

I have a lot of data I need to parse though.
I need to pull all pid's and price's.
`
[
{
"id": 159817,
"price": "10.69",
"stocked": true,
"store": {
"id": 809,
"nsn": "22036-0",
"pricingSource": "manual",
"lastUpdated": "2022-12-05T15:24:33.908Z"
},
"sharedFields": {
"type": "PRODUCT",
"id": 24549,
"pid": "12079",
"labels": [
{
"type": "default",
"value": "Chicken Sandwich",
"locale": "en"
},
{
"type": "fresh",
"value": "Chicken",
"locale": "en"
},
{
"type": "product_json",
"value": "Chicken",
"locale": "en"
}
],
"calMin": 600,
"calMax": 600,
"lastUpdated": "2021-12-31T13:49:22.794Z"
}
},
{
"id": 159818,
"price": "9.29",
"stocked": true,
"store": {
"id": 809,
"nsn": "22036-0",
"pricingSource": "manual",
"lastUpdated": "2022-12-05T15:24:33.908Z"
},
"sharedFields": {
"type": "PRODUCT",
"id": 25,
"pid": "1",
"labels": [
{
"type": "default",
"value": "Ham Sandwich",
"locale": "en"
},
{
"type": "fresh",
"value": "Ham",
"locale": "en"
}
],
"calMin": 540,
"calMax": 540,
"lastUpdated": "2021-07-09T19:30:00.326Z"
}
}
]
`
and I need to place them into a string like this, but on a scale of 150 products. I'd also need to change "pid" to "productId"
[{ "productId": "46238", "price": 6.09 }, { "productId": "40240", "price": 1.49 }]
I need to add a string before this data, but I'm pretty confident I can figure that part out.
I am pretty open to the easiest suggestion, whether that be VBS, Excel macro, etc.

How to get a json key that contains a specific string with jq?

I have a json data like this:
{
"success": true,
"module": {
"endpoint": {
"mode": "pc",
"protocolVersion": "2.0"
},
"reload": true,
"data": {
"leftContainer_CL": {
"id": "CL",
"tag": "leftContainer",
"fields": {
"css": {
"floatPosition": "left",
"width": "788px"
},
"tag": "leftContainer"
},
"type": "container"
},
"container_C": {
"id": "C",
"tag": "container",
"fields": {
"css": {
"marginTop": "12px"
},
"tag": "container"
},
"type": "container"
},
"delivery_dfdaf8a8a": {
"id": "dfdaf8a8a",
"tag": "delivery",
"fields": {
"selectPos": "right",
"deliveryBy": {
"text": "Disediakan oleh",
"poster": "ALL ITEM STORE"
},
"options": [
{
"highlight": false,
"deliveryId": "STANDARD",
"bgColor": "#fafafa",
"price": "Rp18.900",
"disable": false,
"reachTime": "Dapatkan pada\n 3-4 Apr 2018",
"liveUp": false,
"selected": true
}
],
"style": "bar"
},
"type": "biz"
},
"rightContainer_CR": {
"id": "CR",
"tag": "rightContainer",
"fields": {
"css": {
"floatPosition": "right",
"width": "388px"
},
"tag": "rightContainer"
},
"type": "container"
},
"delivery_d43597338a": {
"id": "d43597338a",
"tag": "delivery",
"fields": {
"selectPos": "right",
"deliveryBy": {
"text": "Disediakan oleh",
"poster": "incredible accessories hp"
},
"options": [
{
"highlight": false,
"deliveryId": "STANDARD",
"bgColor": "#fafafa",
"price": "Rp37.800",
"disable": false,
"reachTime": "Dapatkan pada\n 3-4 Apr 2018",
"liveUp": false,
"selected": true
}
],
"style": "bar"
},
"type": "biz"
},
"orderSummary_6": {
"id": "6",
"tag": "orderSummary",
"fields": {
"isOpen": "false",
"summarys": [
{
"tail": "(3 barang)",
"title": "Subtotal",
"value": "Rp23.557"
},
{
"title": "Biaya pengiriman",
"value": "Rp56.700"
}
],
"title": "Ringkasan Pesanan\r\n"
},
"type": "biz"
},
"root_0": {
"id": "0",
"tag": "root",
"fields": {
"count": 3,
"title": "Troli belanja Saya"
},
"type": "root"
},
"item_i77997d6b": {
"id": "i77997d6b",
"tag": "item",
"fields": {
"img": "https://id-live.slatic.net/original/08c1396908dc240625751b09decb4211.jpg",
"quantity": {
"qtyPrefix": "Kuantitas",
"min": 1,
"autoOptions": false,
"quantity": 1,
"max": 5,
"editable": true,
"showIncrDecr": true,
"showOptions": false,
"step": 1
},
"sellerName": "ALL ITEM STORE",
"title": "Case Slim Black Matte Xiaomi Redmi 4A Softcase Black",
"stockTip": {},
"valid": true,
"itemId": "143800088",
"operations": [
"wishlist",
"delete"
],
"sellerId": "100124080",
"price": {
"price": 6000,
"currentPrice": "Rp6.000",
"originPrice": "Rp30.000",
"promotionRatio": "-80%"
},
"restriction": false,
"isGift": false,
"sku": {
"skuText": "Softcase, Hitam",
"productVariant": "SO908ELAAVYY4AANID-72544754",
"brandId": "17818",
"skuId": "157608391"
},
"itemUrl": "https://www.lazada.co.id/products/i143800088-s157608391.html?urlFlag=true&mp=1",
"cartItemId": 2006547819
},
"type": "biz"
},
"location_2": {
"id": "2",
"tag": "location",
"fields": {
"buttonText": "GANTI\r\n",
"editable": true,
"postCode": "",
"style": "casAddress",
"label": "Lokasi",
"title": "Jawa Tengah,Kab. Boyolali,Ampel",
"addressId": "R2388357-R80010396-R80015219"
},
"type": "biz"
},
"voucherInput_7": {
"id": "7",
"tag": "voucherInput",
"fields": {
"buttonText": "GUNAKAN",
"placeHolder": "Masukkan Kode Voucher",
"status": "default"
},
"type": "biz",
"validate": {
"value": [
{
"msg": "Maaf, voucher ini tidak dapat digunakan. Silahkan periksa jika ada kesalahan penulisan",
"regex": "^$|^[ ]{0,5}[A-Za-z0-9~!##%&*()_+?<>{}|-]{1,100}[ ]{0,5}$"
}
]
}
},
"shop_43597338a_s2c": {
"id": "43597338a_s2c",
"tag": "shop",
"fields": {
"badges": [],
"link": "//www.lazada.co.id/shop/incredible-accessories-hp",
"name": "incredible accessories hp"
},
"type": "biz"
},
"item_i7799f86e": {
"id": "i7799f86e",
"tag": "item",
"fields": {
"img": "http://id-live-02.slatic.net/p/2/case-anti-shock-anti-crack-elegant-softcase-for-xiaomi-redmi-5a-white-clear-free-tempered-glass-1273-94487227-9f8ddff53bde3f8de9eb514ba2172361-catalog.jpg",
"quantity": {
"qtyPrefix": "Kuantitas",
"min": 1,
"autoOptions": false,
"quantity": 1,
"max": 5,
"editable": true,
"showIncrDecr": true,
"showOptions": false,
"step": 1
},
"sellerName": "incredible accessories hp",
"title": "Case Anti Shock / Anti Crack Elegant Softcase for Xiaomi Redmi 5A - White Clear + Free Tempered Glass",
"stockTip": {},
"valid": true,
"itemId": "160714927",
"operations": [
"wishlist",
"delete"
],
"sellerId": "53631",
"price": {
"price": 13580,
"currentPrice": "Rp13.580",
"originPrice": "Rp25.000",
"promotionRatio": "-46%"
},
"restriction": false,
"isGift": false,
"sku": {
"skuText": "Softcase, Bening",
"productVariant": "SO908ELAB716EPANID-97510528",
"brandId": "17818",
"skuId": "183461134"
},
"itemUrl": "https://www.lazada.co.id/products/i160714927-s183461134.html?urlFlag=true&mp=1",
"cartItemId": 2006579310
},
"type": "biz"
},
"package_p43597338a": {
"id": "p43597338a",
"tag": "package",
"fields": {},
"type": "biz"
},
"listHeader_H": {
"id": "H",
"tag": "listHeader",
"fields": {
"middle": "HARGA",
"left": "3 barang",
"right": "KUANTITAS"
},
"type": "biz"
},
"delivery_3": {
"id": "3",
"tag": "delivery",
"fields": {
"selectPos": "left",
"options": [
{
"highlight": false,
"deliveryId": "STANDARD",
"bgColor": "#fafafa",
"price": "Rp56.700",
"disable": false,
"icon": "https://laz-img-cdn.alicdn.com/tfs/TB1UpyCpfDH8KJjy1XcXXcpdXXa-72-72.png",
"name": "Standar",
"reachTime": "Dapatkan pada\n 3-4 Apr 2018",
"liveUp": false,
"selected": true
}
],
"style": "card",
"title": "Pengiriman yang dipilih"
},
"type": "biz"
},
"orderTotal_8": {
"id": "8",
"tag": "orderTotal",
"fields": {
"button": {
"enable": true,
"text": "LANJUTKAN KE PEMBAYARAN",
"clicked": false
},
"payment": {
"taxTip": "Termasuk PPN, jika berlaku",
"pay": "Rp80.257",
"title": "Total"
}
},
"type": "biz"
},
"shop_fdaf8a8a_s23f9": {
"id": "fdaf8a8a_s23f9",
"tag": "shop",
"fields": {
"badges": [],
"link": "//www.lazada.co.id/shop/all-item-store",
"name": "ALL ITEM STORE"
},
"type": "biz"
},
"floatTips_4": {
"id": "4",
"tag": "floatTips",
"fields": {
"tips": []
},
"type": "biz"
},
"item_i7790e0f9": {
"id": "i7790e0f9",
"tag": "item",
"fields": {
"img": "http://id-live-02.slatic.net/p/2/case-anti-shock-anti-crack-elegant-softcase-for-xiaomi-redmi-note4x-white-clear-8431-85175402-0bec01e88741744ae5461c4b3a4ae160-catalog.jpg",
"quantity": {
"qtyPrefix": "Kuantitas",
"min": 1,
"autoOptions": false,
"quantity": 1,
"max": 5,
"editable": true,
"showIncrDecr": true,
"showOptions": false,
"step": 1
},
"sellerName": "incredible accessories hp",
"title": "Case Anti Shock / Anti Crack Elegant Softcase for Xiaomi Redmi Note 4x - White Clear",
"stockTip": {},
"valid": true,
"itemId": "108849535",
"operations": [
"wishlist",
"delete"
],
"sellerId": "53631",
"price": {
"price": 3977,
"currentPrice": "Rp3.977",
"originPrice": "Rp15.000",
"promotionRatio": "-73%"
},
"restriction": false,
"isGift": false,
"sku": {
"skuText": "Sarung, Bening",
"productVariant": "CA529ELAAC6GUEANID-27304198",
"brandId": "10464",
"skuId": "110628148"
},
"itemUrl": "https://www.lazada.co.id/products/i108849535-s110628148.html?urlFlag=true&mp=1",
"cartItemId": 2005983481
},
"type": "biz"
},
"package_pfdaf8a8a": {
"id": "pfdaf8a8a",
"tag": "package",
"fields": {},
"type": "biz"
}
},
"hierarchy": {
"component": [
"container",
"delivery",
"item",
"shop",
"package",
"listHeader",
"orderSummary",
"leftContainer",
"orderTotal",
"floatTips",
"root",
"location",
"rightContainer",
"voucherInput"
],
"root": "root_0",
"structure": {
"package_p43597338a": [
"delivery_d43597338a",
"shop_43597338a_s2c",
"item_i7799f86e",
"item_i7790e0f9"
],
"leftContainer_CL": [
"delivery_3",
"listHeader_H",
"package_pfdaf8a8a",
"package_p43597338a"
],
"container_C": [
"leftContainer_CL",
"rightContainer_CR"
],
"rightContainer_CR": [
"location_2",
"orderSummary_6"
],
"orderSummary_6": [
"voucherInput_7",
"orderTotal_8"
],
"root_0": [
"container_C",
"floatTips_4"
],
"package_pfdaf8a8a": [
"delivery_dfdaf8a8a",
"shop_fdaf8a8a_s23f9",
"item_i77997d6b"
]
}
},
"linkage": {
"input": [],
"request": [
"voucherInput_7",
"item_i7799f86e",
"delivery_3",
"orderTotal_8",
"item_i7790e0f9",
"location_2",
"item_i77997d6b"
],
"common": {
"compress": true,
"queryParams": "^^$$1afe141216814f45e9fc6dba84d4863d{$_$}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",
"submitParams": "^^$$f7898231e0216a924bcaa64d213a61ba{$_$}H4sIAAAAAAAAADXMQQrDMAwEwL/oHPSA3PqBUsgLto4bDJJtJPvS4L/XCfS2uwx7UoumKUNoPakK2qeY0ko10EIVR5w5wBqNhTI0bhXhv/kk3aM93NORr4MgcH9OdomiLPhiB9+YtexRuEuzkrnCoM5bf2tqr7vQGD8eVpdVjwAAAA=="
},
"signature": "89dffd9ca23307e603556a4c896e4c56"
}
}
}
With jq I can do this:
[me#linux]$ cat /tmp/json | jq '.module | .data | keys'
[
"container_C",
"delivery_3",
"delivery_d43597338a",
"delivery_dfdaf8a8a",
"floatTips_4",
"item_i7790e0f9",
"item_i77997d6b",
"item_i7799f86e",
"leftContainer_CL",
"listHeader_H",
"location_2",
"orderSummary_6",
"orderTotal_8",
"package_p43597338a",
"package_pfdaf8a8a",
"rightContainer_CR",
"root_0",
"shop_43597338a_s2c",
"shop_fdaf8a8a_s23f9",
"voucherInput_7"
]
I need to get orderTotal_8 but please note that the number 8 is always changing, so it can be orderTotal_10 or orderTotal_3 etc... How can I get this key with pure jq command if possible, without the help of grep / awk ? So the result should be like this orderTotal_8
If you want to form a subarray of items satisfying some condition, just add map(select( CONDITION )) to the pipeline, e.g.
.module | .data | keys | map(select(test("^orderTotal_")))
If you just want a stream of the items matching the condition, then you could first form the stream, and then make the selection:
.module | .data | keys[] | select(test("^orderTotal_"))
For efficiency and other reasons, you might want to consider using keys_unsorted instead of keys.

Extracting lines from nested json file using Ubuntu

I have nested json file (each field can have one or more sons) with many lines. Something like this:
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
Using Ubuntu (or Unix) I would like to find the first 10 lines that their "batters" field is not empty (i.e. in the line one or more of its sons contain value (not null or "").

How to flatten two json arrays using apache drill

{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": 0.55,
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
I have the above json and i want to flatten both batter and topping arrays.
so i tried doing:
SELECT flatten(topping) as toping,flatten(batters.batter) as bat FROM json.jsonfiles.`batter.json`;
which gives me
org.apache.drill.common.exceptions.UserRemoteException: VALIDATION
ERROR: From line 1, column 43 to line 1, column 49: Table 'batters'
not found SQL Query null [Error Id:
33cf80f2-f283-4401-90ce-c262474e0778 on acer:31010]
How can i solve this? Can we flatten two arrays in a single query?
You need to add table alias and refer it in columns. Below query works for me with sample data you have provided.
SELECT flatten(a.topping) as toping,flatten(a.batters.batter) as bat FROM dfs.tmp.`batter.json` a;

Angular2, Typescript,Json

I am going to use angular2 platform to develop an application. I am stuck at one point that "How do I print nested json in Angular2 Component's template".
json file:
{
"id": "0001",
"type": "donut",
"name": "Cake",
"ppu": "0000.55",
"batters":
{
"batter":
[
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
]
},
"topping":
[
{ "id": "5001", "type": "None" },
{ "id": "5002", "type": "Glazed" },
{ "id": "5005", "type": "Sugar" },
{ "id": "5007", "type": "Powdered Sugar" },
{ "id": "5006", "type": "Chocolate with Sprinkles" },
{ "id": "5003", "type": "Chocolate" },
{ "id": "5004", "type": "Maple" }
]
}
It's greatful if someone help me....:)
Try something like this:
<div *ngFor="let obj of jsonData">
<div>{{obj.id}}</div>
...
<div *ngFor="let bat of obj.batters.batter">
<div>{{bat.id}}</div>
<div>{{bat.type}}</div>
</div>
<div *ngFor="let topp of obj.topping">
<div>{{topp.id}}</div>
<div>{{topp.type}}</div>
</div>
</div>
You can change your object:
...,
"batters": [
{ "id": "1001", "type": "Regular" },
{ "id": "1002", "type": "Chocolate" },
{ "id": "1003", "type": "Blueberry" },
{ "id": "1004", "type": "Devil's Food" }
],
...
then you can do like this:
<div *ngFor="let bat of obj.batters">
Hope this will help.