I'm using Corinis/jsForm.js (jquery.jsForm-1.0.rc.2.js) to map JSON to/from html fields
I have trouble when my collection is deeply nested
(i.e. the field seems to get ignored)
any suggestions ?
My json object looks like this
{ "#class" : "CmsNode",
"#fieldTypes" : "createdOn=t,updatedOn=t",
"#rid" : "#13:16",
"#type" : "d",
"#version" : 18,
"children" : [ ],
"cmsRecord" : { "#class" : "CmsRecord",
"#type" : "d",
"#version" : 0,
"active" : [ { "#class" : "Record",
"#type" : "d",
"#version" : 0,
"properties" : { "alias" : "blah" }
} ],
"archive" : [ ],
"classifications" : [ ],
"keywords" : [ ],
"pending" : [ ]
},
"createdOn" : "2013-07-05 12:38:59:057",
"data" : { "name" : "test3en" },
"history" : [ ],
"isMenu" : true,
"isVisible" : false,
"mvcModel" : "dd",
"mvcView" : "aaa",
"pageViews" : [ ],
"parents" : [ "#13:9" ],
"related" : [ ],
"updatedOn" : "2013-07-08 09:06:47:610",
"uuid" : "933a10da-b9a8-44d1-9a65-adc189c740b2",
"viewClasses" : [ ]
}
I need to have an input field attached to property data.cmsRecord.active.properties.alias
I'm trying to achieve this, by using the following html code:
<div class="collection" data-field="data.cmsRecord.active">
<div>
<input type="text" name="active.properties.alias" />
</div>
</div>
Issue has been resolved by the script author.
fixed Release: jsForm-1.0.3.js
Related
Hello can someone help me extract the value of user parameter which is "testuser1"
I tried to use this JSON Path expression $..data I was able to extract the entire response but unable to extract user parameter. Thanks in advance
{
"data": "{ "took" : 13, "timed_out" : false, "_shards" : { "total" : 5, "successful" : 5, "skipped" : 0, "failed" : 0 }, "hits" : { "total" : 1, "max_score" : 1.0, "hits" : [ { "_index" : "bushidodb_history_network_eval_ea9656ef-0a9b-474b-8026-2f83e2eb9df1_2021-april-10", "_type" : "network", "_id" : "6e2e58be-0ccf-3fb4-8239-1d4f2af322e21618059082000", "_score" : 1.0, "_source" : { "misMatches" : [ "protocol", "state", "command" ], "instance" : "e3032804-4b6d-3735-ac22-c827950395b4|0.0.0.0|10.179.155.155|53|UDP", "protocol" : "UDP", "localAddress" : "0.0.0.0", "localPort" : "12345", "foreignAddress" : "10.179.155.155", "foreignPort" : "53", "command" : "ping yahoo.com ", "user" : "testuser1", "pid" : "10060", "state" : "OUTGOINGFQ", "rate" : 216.0, "originalLocalAddress" : "192.168.100.229", "exe" : "/bin/ping", "md5" : "f9ad63ce8592af407a7be43b7d5de075", "dir" : "", "agentId" : "abcd-dcd123", "year" : "2021", "month" : "APRIL", "day" : "10", "hour" : "12", "time" : "1618059082000", "isMerged" : false, "timestamp" : "Apr 10, 2021 12:51:22 PM", "metricKey" : "6e2e58be-0ccf-3fb4-8239-1d4f2af322e2", "isCompliant" : false }, "sort" : [ 1618059082000 ] } ] }, "aggregations" : { "count_over_time" : { "buckets" : [ { "key_as_string" : "2021-04-10T08:00:00.000-0400", "key" : 1618056000000, "doc_count" : 1 } ] } }}",
"success": true,
"message": {
"code": "S",
"message": "Get Eval results Count Success"
}
}
Actual Response:
Images
What you posted doesn't look like a valid JSON to me.
If in reality you're getting what's in your image, to wit:
{
"data": "{ \"took\" : 13, \"timed_out\" : false, \"_shards\" : { \"total\" : 5, \"successful\" : 5, \"skipped\" : 0, \"failed\" : 0 }, \"hits\" : { \"total\" : 1, \"max_score\" : 1.0, \"hits\" : [ { \"_index\" : \"bushidodb_history_network_eval_ea9656ef-0a9b-474b-8026-2f83e2eb9df1_2021-april-10\", \"_type\" : \"network\", \"_id\" : \"6e2e58be-0ccf-3fb4-8239-1d4f2af322e21618059082000\", \"_score\" : 1.0, \"_source\" : { \"misMatches\" : [ \"protocol\", \"state\", \"command\" ], \"instance\" : \"e3032804-4b6d-3735-ac22-c827950395b4|0.0.0.0|10.179.155.155|53|UDP\", \"protocol\" : \"UDP\", \"localAddress\" : \"0.0.0.0\", \"localPort\" : \"12345\", \"foreignAddress\" : \"10.179.155.155\", \"foreignPort\" : \"53\", \"command\" : \"pingyahoo.com\", \"user\" : \"testuser1\", \"pid\" : \"10060\", \"state\" : \"OUTGOINGFQ\", \"rate\" : 216.0, \"originalLocalAddress\" : \"192.168.100.229\", \"exe\" : \"/bin/ping\", \"md5\" : \"f9ad63ce8592af407a7be43b7d5de075\", \"dir\" : \"\", \"agentId\" : \"abcd-dcd123\", \"year\" : \"2021\", \"month\" : \"APRIL\", \"day\" : \"10\", \"hour\" : \"12\", \"time\" : \"1618059082000\", \"isMerged\" : false, \"timestamp\" : \"Apr10, 202112: 51: 22PM\", \"metricKey\" : \"6e2e58be-0ccf-3fb4-8239-1d4f2af322e2\", \"isCompliant\" : false }, \"sort\" : [ 1618059082000 ] } ] }, \"aggregations\" : { \"count_over_time\" : { \"buckets\" : [ { \"key_as_string\" : \"2021-04-10T08: 00: 00.000-0400\", \"key\" : 1618056000000, \"doc_count\" : 1 } ] } }}",
"success": true,
"message": {
"code": "S",
"message": "Get Eval results Count Success"
}
}
the easiest way is just using 2 JSON Extractors:
Extract data attribute value into a JMeter Variable from the response
Extract user attribute value into a JMeter variable from ${data} JMeter Variable:
Demo:
If the response looks like exactly you posted you won't be able to use JSON Extractors and will have to treat it as normal text so your choice is limited to Regular Expression Extractor, example regular expression:
"user"\s*:\s*"(\w+)"
Add Regular Expression extractor with the corresponding request and extract it. Use the below expression.
Expression: "user" : "(.*?)"
Ref: https://jmeter.apache.org/usermanual/regular_expressions.html
Regular Expression Extractor Sample
I wish to reduce with jq
[ {
"context" : "app:swagger,dev:8080",
"parent" : null,
"beans" : [ {
"bean" : "app",
"aliases" : [ ],
"scope" : "singleton",
"type" : "com.example.App",
"resource" : "null",
"dependencies" : [ "environment" ]
}, {
"bean" : "environment",
"aliases" : [ ],
"scope" : "singleton",
"type" : "com.example.Environment",
"resource" : "null",
"dependencies" : [ ]
}
},
...
}]
to
app --> environment
...
The problem statement appears to be under-specified, but the following seems to be either a solution or very close to one:
jq -r '.[] | .beans[] | "\(.bean) --> \(.dependencies[])"' input.json
I have the JSON that you can see below and I want to sum the values of the two objects, but when I make an aggregation it returns me 0.Here you can see the query that I use; really the first line I only use it to be sure that the path works, and it does. On the other hand,when I use this path in the aggregation query it gives me the "ID" and the "COUNT" with right values,but the "SUM" is always 0 when it must be 3600.Any idea?
db.getCollection('TEST').find({"prices.year.months.day.csv.price.valPrice":1800})
db.TEST.aggregate([
{ $match: {"location.cp":"20830"}},
{$group:{_id:"20830",total:{$sum:"$prices.year.months.day.csv.price.valPrice"}, count: { $sum: 1 }
}}])
And this is the JSON:
{
"_id" : "20830:cas:S:3639",
"lodgtype" : "Casa",
"lodg" : "Motrico: country holiday home - San sebastian",
"webid" : "6107939",
"location" : {
"thcod" : "20",
"cp" : "20830",
"th" : "Gipuzkoa",
"geometry" : {
"type" : "Point",
"coordinates" : [
43.31706238,
-2.40293598
]
}
},
"prices" : {
"year" : [
{
"valYear" : "2018",
"months" : [
{
"valMonth" : "02",
"day" : [
{
"valDay" : "13",
"csv" : [
{
"valCsv" : "20180205210908_223",
"price" : [
{
"valPrice" : 1800.0
}
]
}
]
}
]
}
]
}
]
},
"reg" : {
"created" : "20180213",
"updated" : "20180213",
"viewed" : "20180213"
}
},{
"_id" : "TEST20830:cas:S:3639",
"lodgtype" : "Casa",
"lodg" : "TESTMotrico: country holiday home - San sebastian",
"webid" : "6107930",
"location" : {
"thcod" : "20",
"cp" : "20830",
"th" : "Gipuzkoa",
"geometry" : {
"type" : "Point",
"coordinates" : [
43.31706238,
-2.40293598
]
}
},
"prices" : {
"year" : [
{
"valYear" : "2018",
"months" : [
{
"valMonth" : "02",
"day" : [
{
"valDay" : "13",
"csv" : [
{
"valCsv" : "20180205210908_223",
"price" : [
{
"valPrice" : 1800.0
}
]
}
]
}
]
}
]
}
]
},
"reg" : {
"created" : "20180213",
"updated" : "20180213",
"viewed" : "20180213"
}
}
Since you've deeply nested array you've to unwind to flatten to a document structure. To count the number of matches you've to use extra group after $match with $push with $$ROOT to keep the matching data.
db.TEST.aggregate([
{"$match":{"location.cp":"20830"}},
{"$group":{
"_id":"20830",
"data":{"$push":"$$ROOT"},
"count":{"$sum":1}
}},
{"$unwind":"$data.prices.year"},
{"$unwind":"$data.prices.year"},
{"$unwind":"$data.prices.year.months"},
{"$unwind":"$data.prices.year.months.day"},
{"$unwind":"$data.prices.year.months.day.csv"},
{"$unwind":"$data.prices.year.months.day.csv.price"},
{"$group":{
"_id":"20830",
"total":{"$sum":"$prices.year.months.day.csv.price.valPrice"},
"count":{"$first":"$count"}
}}
])
I have the following structure in my mondoDB:
"source" : [
{
"source_id" : "800000021",
"source" : "Test1"
}
]
"state" : "AM",
"owner_phone" : "0",
"latitude" : 0,
"leedon_activated" : "True",
"zip_code" : "12345",
"fax" : "0",
I want to add another json to the source array for the following resut:
"source" : [
{
"source_id" : "800000021",
"source" : "Test1"
},
{
"source_id" : "800000022",
"source" : "Test2"
}
]
"state" : "AM",
"owner_phone" : "0",
"latitude" : 0,
"leedon_activated" : "True",
"zip_code" : "12345",
"fax" : "0"
What will be MongoDB query for it?
Read about $push here
Your code will something like this
yourmodelname.update({ /* some conditions to updating files */ },{$push: {"source": {"source_id" : "213123", "source" : "asdasd"}}})
I have the following sample data in MongoDB:
{
"_id" : ObjectId("54833e93ade1a1521a2a2fe8"),
"fname" : "yumi",
"mname" : "sakura",
"lname" : "kirisaki",
"consultations" : [
{
"medications" : [
"paracetamol",
"ibuprofen",
"carbocisteine"
],
"diagnosis" : [
"sore throat",
"fever",
"cough"
],
"date" : ISODate("2014-12-01T16:00:00Z")
},
{
"medications" : [
"paracetamol",
"carbocisteine",
"afrin"
],
"diagnosis" : [
"cough",
"colds",
"fever"
],
"date" : ISODate("2014-12-11T16:00:00Z")
}
]
}
{
"_id" : ObjectId("54833e93ade1a1521a2a2fe9"),
"fname" : "james",
"mname" : "legaspi",
"lname" : "reyes",
"consultations" : [
{
"medications" : [
"zanamivir",
"ibuprofen",
"paracetamol"
],
"diagnosis" : [
"influenza",
"body aches",
"headache"
],
"date" : ISODate("2014-10-22T16:00:00Z")
},
{
"medications" : [
"carbocisteine",
"albuterol",
"ibuprofen"
],
"diagnosis" : [
"asthma",
"cough",
"headache"
],
"date" : ISODate("2014-11-13T16:00:00Z")
}
]
}
I am trying to query patients with zanamivir AND ibuprofen AND cough:
db.patient.find({
$and:
[
{"consultations.medications":["zanamivir", "ibuprofen"]},
{"consultations.diagnosis":"cough"}
]
}).pretty()
So, in the short sample data, I was hoping james would be returned since he is the only one with zanamivir medication.
Nothing is happening when I enter the above query in cmd. It just goes to the next line (no syntax errors, etc.)
How must I go about the query?
You need the use the $all operator.
db.patient.find({
"consultations.medications": { "$all" : [ "zanamivir", "ibuprofen" ]},
"consultations.diagnosis": "cough"
})
Pretty simple, it's just your first part of the query.
db.patient.find({
$and:[
{"consultations.medications":["zanamivir", "ibuprofen"]},
{"consultations.diagnosis":"cough"}]})
Asking Mongodb to find consultations.medications against ["zanamivir", "ibuprofen"] is asking it to find someone whose medications are equal to ['zanamivir', 'ibuprofen'].
If you want to find people who have had zanamivir and ibuprofen medicated you need to tweak the query to this:
db.patient.find({
$and:[
{"consultations.medications":"zanamivir"},
{"consultations.medications":"ibuprofen"},
{"consultations.diagnosis":"cough"}]})
Enjoy!