is it possible to set up structure below with thymeleaf
as an input we have an array like [1,2,3], so the template should build up structure like below?
{
"a":
{
"b":
{
"c#1":
{
"c#2":
{
"c#3":
{
"someOtherStuff": "value"
}
}
}
}
}
}
which template could achieve that?
Related
I tried following the offical Shopify Documentation for retrieving ProductMedia.
My Query looks like this:
query getProductMediaById($id: ID!) {
product(id: $id) {
id
media(first: 10) {
edges {
node {
mediaContentType
alt
...mediaFieldsByType
}
}
}
}
}
fragment mediaFieldsByType on Media {
... on ExternalVideo {
id
embeddedUrl
}
... on MediaImage {
image {
...imageAttributes
}
}
... on Model3d {
sources {
url
mimeType
format
filesize
}
}
... on Video {
sources {
url
mimeType
format
height
width
}
}
}
fragment imageAttributes on Image {
altText
url
}
The only thing where I diverged from the official documentation is to put the image attributes to another fragment for code reuse.
But when I try to execute the query I get the following response:
{
"data": {
"product": {
"__typename": "Product",
"id": "Z2lkOi8vc2hvcGlmeS9Qcm9kdWN0LzY3NjcyOTczMzEzMDU=",
"media": {
"__typename": "MediaConnection",
"edges": [
{
"__typename": "MediaEdge",
"node": {
"__typename": "MediaImage",
"mediaContentType": "IMAGE",
"alt": ""
}
}
]
}
}
},
"loading": false,
"networkStatus": 7
}
Or to put it to words my response doesn't contain any information from the mediaFieldsByType fragment.
Any Idea what I'm doing wrong?
With JMESPath based on the following:
If the input is
{ "app": { "usertype": "power" } }
I would like to create
{ "output": { "aslist": true } }
If the input is
{ "app": { "usertype": "simple" } }
I would like to create:
{ "output": { "aslist": false } }
I can create the output but not the conditional part. Seems like a simple if then else but I can't find any documentation on that.
Any suggestions?
You can simply use the evaluation of a condition in JMESPath as a value for your resulting JSON.
Given the query:
{output: {aslist: app.usertype == 'power'}}
On your example JSON:
{
"app": {
"usertype": "power"
}
}
This would give
{
"output": {
"aslist": true
}
}
On your example JSON:
{
"app": {
"usertype": "simple"
}
}
This would give
{
"output": {
"aslist": false
}
}
But, of course, since it is a simple evaluation of a condition based on your simplified example it would also give you a false for anything that is not of usertype being power.
My requirement is to generate a line number for every new line generated in the json message. The input message is having array inside array, i.e, parent and child array.
Input message
[
{
id:"1",
Details:[
{
Name:"RAM",
LastName:"Manohar",
DOB:"20-10-1990",
Report:[
{
DateOfJoin:"03-03-2019",
Dept:"HR",
BillCode:"acx-12s",
EffectiveDate:"03-03-2019"
},
{
DateOfJoin:"03-04-2019",
Dept:"HR",
BillCode:"abc-12s",
EffectiveDate:"03-04-2019"
},
{
Name:"Alex",
LastName:"Ham",
DOB:"20-11-1980",
Report:[
{
DateOfJoin:"03-03-2019",
Dept:"HR",
BillCode:"acx-12s",
EffectiveDate:"03-03-2019"
},
{
DateOfJoin:"03-04-2019",
Dept:"HR",
BillCode:"abc-12s",
EffectiveDate:"03-04-2019"
}
]
}
]
},
{
id:"2",
Details:[
{
Name:"Kiran",
LastName:"Kurella",
DOB:"20-10-1980",
Report:[
{
DateOfJoin:"03-03-2019",
Dept:"DC",
BillCode:"acx-12s",
EffectiveDate:"03-03-2019"
},
{
DateOfJoin:"03-04-2019",
Dept:"DC",
BillCode:"abc-12s",
EffectiveDate:"03-04-2019"
},
{
Name:"Sunil",
LastName:"Kumar",
DOB:"20-11-1980",
Report:[
{
DateOfJoin:"03-01-2019",
Dept:"DC",
BillCode:"acx-12s",
EffectiveDate:"03-03-2019"
},
{
DateOfJoin:"03-04-2019",
Dept:"DC",
BillCode:"abc-12s",
EffectiveDate:"03-04-2019"
}
]
}
]
}
]
}
]
}
]
expected output:
[{LineNumber:1,
Dept:"HR",
Name: "Ram"},
{LineNumber:2,
Dept:"HR",
Name: "Alex"},
{LineNumber:3,
Dept:"HR",
Name: "Kiran"},
{LineNumber:4,
Dept:"HR",
Name: "Sunil"}]
Linenumber needs to be generated sequentially and irrespective of parent array or sub array. any help on this will be very appreciated. I have the logic in which i can generate the number using java function but in that case i need to set the variable value (flow variable) inside data weave which can be used in the java function to call recursively.
Use:
payload map {
count: $$
}
I want to do a replace in projection. Like a SQL Server REPLACE. I'm pretty sure we can handle that in code but looking for some shell commands.
Here is what I have
db.OrderHistoryHeader.aggregate([
{
$project:{
"_id":0,
"OrderNo":1 // I want to do Replace(OrderNo,'XYZ','ABC')
}
}
],
{
allowDiskUse:true
}).pretty();
There's no built-in operator for that currently but you can use $indexOfBytes combined with $substr and $concat.
db.OrderHistoryHeader.aggregate([
{
$addFields:
{
index: { $indexOfBytes: [ "$OrderNo", "XYZ" ] },
}
},
{
$project: {
OrderNo: {
$concat: [
{ $substr: [ "$OrderNo", 0, "$index" ] },
"ABC",
{ $substr: [ "$OrderNo", { $add: [3, "$index"] }, -1 ] }
]
}
}
},
{
$project: {
index: 0
}
}
])
Where 3 is the length of text being replaced.
You can use the replaceOne method
db.collection.replaceOne(filter, replacement, options)
From documentation:
Behavior
replaceOne() replaces the first matching document in the collection that matches the filter, using the replacement document.
upsert
If upsert: true and no documents match the filter, db.collection.replaceOne() creates a new document based on the replacement document.
there is documents with category(number), and piece(long) fields. I need some kind of aggregration that group these docs by category and sum all the pieces in it
here how documents looks:
{
"category":"1",
"piece":"10.000"
},
{
"category":"2",
"piece":"15.000"
} ,
{
"category":"2",
"piece":"10.000"
},
{
"category":"3",
"piece":"5.000"
}
...
The query result must be like:
{
"category":"1",
"total_amount":"10.000"
}
{
"category":"2",
"total_amount":"25.000"
}
{
"category":"3",
"total_amount":"5.000"
}
..
any advice ?
You want to do a terms aggregation on the categories, from the records above I see that you are sending them as strings, so they will be categorical variables. Then, as a metric, pass on the sum.
This is how it might look:
"aggs" : {
"categories" : {
"terms" : {
"field" : "category"
},
"aggs" : {
"sum_category" : {
"sum": { "field": "piece" }
}
}
}
}