How to check if ponkipong is present in activeids using [Gatling] check - [Scala] ?
{
"activeids": [
"ironblossom",
"draw_on",
"ponkipong",
"summer22",
"morphimagus"
]
}
Have tried .check(jmesPath("activeids[?contains(#, 'ponkipong') == `true`]").transform(_.length >= 1).is(true)) but
doesn't work.
Also not sure how to do this using jsonPath.
Though, Kind of a workaround I am currently using is this.
.check(bodyString.saveAs("response_data"))
.check(
checkIf((response: Response, session: Session) => {
val dde = "ponkipong"
val is_dde_active_not_present = if ((Json.parse(session("response_data").as[String].stripMargin) \ "activeids").as[Seq[String]].indexOf(dde) >= 0) false else true
is_dde_active_not_present
}) {
// this check is to make forceful fail if checkIf fails
jsonPath("$.activeids[*]").count.is(-1)
}
)
But, doesn’t look like a solution.
Need help to do it in a proper way.
Nowadays, I tend to use JMESPath whenever possible, as explained here.
In Scala:
jmesPath("contains(activeids, 'ponkipong')").ofType[Boolean].is(true)
In Java (recommended since Gatling 3.7):
jmesPath("contains(activeids, 'ponkipong')").ofBoolean().is(true)
Related
I have a problem i want to create a database command with variables but it doesnt work at all.
I am new to Laravel.
if i write in the sql command K.id=W.Kid it works. But i want to know how this works with variables.
if(request('nachname'))
{
$nachnamesuchen = request('nachname');
$nachnameanzeigen = $nachnamesuchen;
}
else
{
$nachnamesuchen='%';
$nachnameanzeigen=null;
}
if(request('ortadden')!=null)
{
$ortaddensuchen=request('ortadden');
$ortanzeigen=$ortaddensuchen;
$test="K.id";
$test1="W.Kid";
}
else
{
$ortaddensuchen='%';
$ortanzeigen=null;
$test='1';
$test1='1';
}
$Datenzumsuchen=array(
'Vorname'=>$vornameanzeigen,
'Nachname'=>$nachnameanzeigen,
'Ort'=>$ortanzeigen,
);
$Kundenanzeigen=DB::select('select K.vorname,K.nachname,K.id from Kundes AS K,
wunschorte AS W where K.vorname like ? and K.nachname like ? and W.Wunschort like ? and ?=?',
[$vornamesuchen,$nachnamesuchen,$ortaddensuchen,$test,$test1]);
Your query is a string, so you can just put those variables in them:
DB::select('select K.vorname,K.nachname,K.id from Kundes AS K,
wunschorte AS W where K.vorname like '.$vornameanzeigen.' AND ...
But I would suggest you take a look at Eloquent, which is Laravel's way of database interaction, it makes queries a lot less complicated and more ordered (in my opinion).
https://laravel.com/docs/5.8/eloquent
I'm trying to process an array of JSON objects that have various common attributes, filtering each array entry on one or more of those attributes.
Normally, I'd just do it something like this:
let filteredResultsArray = originalArray.filter((obj) => {
return obj.attribute1 <= 3 && obj.attribute2 > 0 && obj.attribute3 === 10;
});
My problem is that the filter parameters (the part after "return" in the code above) are highly variable (and unpredictable) from run to run, so I can't hard-code them in the filter. I compute them on the fly and store the whole thing in a string in my code. For example, on one run it might be:
myAttributeString = "obj.attribute1 <= 3 && obj.attribute2 > 0 && obj.attribute3 === 10";
I've tried doing this:
let filteredResultsArray = originalArray.filter((obj) => {
return myAttributeString;
});
That's failing to filter anything. Apparently .filter() is not properly interpreting what I've stored in myAttributeString as filter criteria.
I have a sneaking suspicion that eval(myAttributeString) might be one way to pull this off, but unfortunately I'm working on a team where we've got tslint set to disallow the use of eval(), so that's not an option.
Anybody have an idea how I can get this to work?
When you "compute them on the fly", instead of creating a string, create a callback function that you can then pass to filter. For example, instead of
const myAttributeString = "obj.attribute1 <= 3 && obj.attribute2 > 0 && obj.attribute3 === 10";
do
const filterCallback = obj => obj.attribute1 <= 3 && obj.attribute2 > 0 && obj.attribute3 === 10
Then, later, when the appropriate time comes to .filter, simply pass that as the callback:
const filteredResultsArray = originalArray.filter(filterCallback);
If you can't pass functions around, another option would be to build an array of conditions, for example
[
{
prop: "attribute1",
constraint: "<=",
value: 3
},
{
prop: "attribute2",
constraint: ">",
value: 0
},
// ...
]
and then turn the object into the filter function needed.
****************************************UPDATE******************************
As I suspected, eval() did work, but since I can't use it in my delivered code, and thanks to CertainPerformance's suggestion (which put my thinking on the right track) as well as the Node.js documentation site (via a lucky Google search), I was able to find a workaround using the vm module:
import * as vm from "vm";
let filteredResultsArray = originalArray.filter(
vm.runInThisContext("(obj) => {
return " + myAttributeString + ";}"));
Case closed.
You can get the child count via
firebase_node.once('value', function(snapshot) { alert('Count: ' + snapshot.numChildren()); });
But I believe this fetches the entire sub-tree of that node from the server. For huge lists, that seems RAM and latency intensive. Is there a way of getting the count (and/or a list of child names) without fetching the whole thing?
The code snippet you gave does indeed load the entire set of data and then counts it client-side, which can be very slow for large amounts of data.
Firebase doesn't currently have a way to count children without loading data, but we do plan to add it.
For now, one solution would be to maintain a counter of the number of children and update it every time you add a new child. You could use a transaction to count items, like in this code tracking upvodes:
var upvotesRef = new Firebase('https://docs-examples.firebaseio.com/android/saving-data/fireblog/posts/-JRHTHaIs-jNPLXOQivY/upvotes');
upvotesRef.transaction(function (current_value) {
return (current_value || 0) + 1;
});
For more info, see https://www.firebase.com/docs/transactions.html
UPDATE:
Firebase recently released Cloud Functions. With Cloud Functions, you don't need to create your own Server. You can simply write JavaScript functions and upload it to Firebase. Firebase will be responsible for triggering functions whenever an event occurs.
If you want to count upvotes for example, you should create a structure similar to this one:
{
"posts" : {
"-JRHTHaIs-jNPLXOQivY" : {
"upvotes_count":5,
"upvotes" : {
"userX" : true,
"userY" : true,
"userZ" : true,
...
}
}
}
}
And then write a javascript function to increase the upvotes_count when there is a new write to the upvotes node.
const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp(functions.config().firebase);
exports.countlikes = functions.database.ref('/posts/$postid/upvotes').onWrite(event => {
return event.data.ref.parent.child('upvotes_count').set(event.data.numChildren());
});
You can read the Documentation to know how to Get Started with Cloud Functions.
Also, another example of counting posts is here:
https://github.com/firebase/functions-samples/blob/master/child-count/functions/index.js
Update January 2018
The firebase docs have changed so instead of event we now have change and context.
The given example throws an error complaining that event.data is undefined. This pattern seems to work better:
exports.countPrescriptions = functions.database.ref(`/prescriptions`).onWrite((change, context) => {
const data = change.after.val();
const count = Object.keys(data).length;
return change.after.ref.child('_count').set(count);
});
```
This is a little late in the game as several others have already answered nicely, but I'll share how I might implement it.
This hinges on the fact that the Firebase REST API offers a shallow=true parameter.
Assume you have a post object and each one can have a number of comments:
{
"posts": {
"$postKey": {
"comments": {
...
}
}
}
}
You obviously don't want to fetch all of the comments, just the number of comments.
Assuming you have the key for a post, you can send a GET request to
https://yourapp.firebaseio.com/posts/[the post key]/comments?shallow=true.
This will return an object of key-value pairs, where each key is the key of a comment and its value is true:
{
"comment1key": true,
"comment2key": true,
...,
"comment9999key": true
}
The size of this response is much smaller than requesting the equivalent data, and now you can calculate the number of keys in the response to find your value (e.g. commentCount = Object.keys(result).length).
This may not completely solve your problem, as you are still calculating the number of keys returned, and you can't necessarily subscribe to the value as it changes, but it does greatly reduce the size of the returned data without requiring any changes to your schema.
Save the count as you go - and use validation to enforce it. I hacked this together - for keeping a count of unique votes and counts which keeps coming up!. But this time I have tested my suggestion! (notwithstanding cut/paste errors!).
The 'trick' here is to use the node priority to as the vote count...
The data is:
vote/$issueBeingVotedOn/user/$uniqueIdOfVoter = thisVotesCount, priority=thisVotesCount
vote/$issueBeingVotedOn/count = 'user/'+$idOfLastVoter, priority=CountofLastVote
,"vote": {
".read" : true
,".write" : true
,"$issue" : {
"user" : {
"$user" : {
".validate" : "!data.exists() &&
newData.val()==data.parent().parent().child('count').getPriority()+1 &&
newData.val()==newData.GetPriority()"
user can only vote once && count must be one higher than current count && data value must be same as priority.
}
}
,"count" : {
".validate" : "data.parent().child(newData.val()).val()==newData.getPriority() &&
newData.getPriority()==data.getPriority()+1 "
}
count (last voter really) - vote must exist and its count equal newcount, && newcount (priority) can only go up by one.
}
}
Test script to add 10 votes by different users (for this example, id's faked, should user auth.uid in production). Count down by (i--) 10 to see validation fail.
<script src='https://cdn.firebase.com/v0/firebase.js'></script>
<script>
window.fb = new Firebase('https:...vote/iss1/');
window.fb.child('count').once('value', function (dss) {
votes = dss.getPriority();
for (var i=1;i<10;i++) vote(dss,i+votes);
} );
function vote(dss,count)
{
var user='user/zz' + count; // replace with auth.id or whatever
window.fb.child(user).setWithPriority(count,count);
window.fb.child('count').setWithPriority(user,count);
}
</script>
The 'risk' here is that a vote is cast, but the count not updated (haking or script failure). This is why the votes have a unique 'priority' - the script should really start by ensuring that there is no vote with priority higher than the current count, if there is it should complete that transaction before doing its own - get your clients to clean up for you :)
The count needs to be initialised with a priority before you start - forge doesn't let you do this, so a stub script is needed (before the validation is active!).
write a cloud function to and update the node count.
// below function to get the given node count.
const functions = require('firebase-functions');
const admin = require('firebase-admin');
admin.initializeApp(functions.config().firebase);
exports.userscount = functions.database.ref('/users/')
.onWrite(event => {
console.log('users number : ', event.data.numChildren());
return event.data.ref.parent.child('count/users').set(event.data.numChildren());
});
Refer :https://firebase.google.com/docs/functions/database-events
root--|
|-users ( this node contains all users list)
|
|-count
|-userscount :
(this node added dynamically by cloud function with the user count)
How can I filter properly using Objectify 4 by several parameters, considering that some of those parameters can come empty, which would mean that I don't want to filter by those?
Example:
Please consider I want to filter something like this:
releases = ofy().load().type(Release.class)
.filter("user.name", searchCriteria.getName())
.filter("category", searchCriteria.getCategory())
.filter("city", searchCriteria.getCity()).list();
In order to match with what I said above, I have now the following code, checking every time which of my parameters come empty so I don't put them on the filter in that case:
if (!nameEmpty && !categoryEmpty && !cityEmpty) {
releases = ofy().load().type(Release.class)
.filter("user.name", searchCriteria.getName())
.filter("category", searchCriteria.getCategory())
.filter("city", searchCriteria.getCity()).list();
} else if (!nameEmpty && !categoryEmpty) {
releases = ofy().load().type(Release.class)
.filter("user.name", searchCriteria.getName())
.filter("category", searchCriteria.getCategory()).list();
} else if (!nameEmpty && !cityEmpty) {
releases = ofy().load().type(Release.class)
.filter("user.name", searchCriteria.getName())
.filter("city", searchCriteria.getCity()).list();
} else if ...
...
How can I avoid this crappy way of filtering and make it with just one line (or a few) using Objectify 4?
Query<Release> query = ofy().load().type(Release.class);
if (!nameEmpty)
query = query.filter("user.name", searchCriteria.getName());
if (!categoryEmpty)
query = query.filter("category", searchCriteria.getCategory())
if (!cityEmpty)
query = query.filter("city", searchCriteria.getCity());
releases = query.list();
I just have a question about writing a function that will search a directory for the most recent log in a directory. I currently came up with one, but I'm wondering if there is a better (perhaps more proper) way of doing this.
I'm currently using hdsentinel to create logs on computer and placing the log in a directory. The logs are saved like so:
/directory/hdsentinel-computername-date
ie. C:/hdsentinel-owner-2010-11-11.txt
So I wrote a quick script that loops through certain variables to check for the most recent (within the past week) but after looking at it, I'm question how efficient and proper it is to do things this way.
Here is the script:
String directoryPath = "D:"
def computerName = InetAddress.getLocalHost().hostName
def dateToday = new Date()
def dateToString = String.format('%tm-%<td-%<tY', dateToday)
def fileExtension = ".txt"
def theFile
for(int i = 0; i < 7; i++) {
dateToString = String.format('%tY-%<tm-%<td', dateToday.minus(i))
fileName = "$directoryPath\\hdsentinel-$computerName-$dateToString$fileExtension"
theFile = new File(fileName)
if(theFile.exists()) {
println fileName
break;
} else {
println "Couldn't find the file: " + fileName
}
}
theFile.eachLine { print it }
The script works fine, perhaps it has some flaws. I felt I should go ahead and ask what the typical route is for this type of thing before I continue with it.
All input is appreciated.
Though a bit messy, you could implement a multi-column sort via the 'groupBy' method (Expounding on Aaron's code)..
def today = new Date()
def recent = {file -> today - new Date(file.lastModified()) < 7}
new File('/yourDirectory/').listFiles().toList()
.findAll(recent)
.groupBy{it.name.split('-')[1]}
.collect{owner, logs -> logs.sort{a,b -> a.lastModified() <=> b.lastModified()} }
.flatten()
.each{ println "${new Date(it.lastModified())} ${it.name}" }
This finds all logs created within the last week, groups them by owner name, and then sorts according to date modified.
If you have files other than logs in the directory, you may first need to grep for files containing 'hdsentinel.'
I hope this helps.
EDIT:
From the example you provided, I cannot determine if the least significant digit in the format:
C:/hdsentinel-owner-2010-11-11.txt
represents the month or the day. If the latter, sorting by file name would automatically prioritize by owner, and then by date created (without all of the chicanery of the above code).
For Instance:
new File('/directory').listFiles().toList().findAll(recent).sort{it.name}
Hopefully this helps some..This sorts a given path by date modified in a groovier way. The lists them out.
you can limit the list, and add other conditions in the closure to get the desired results
new File('/').listFiles().sort() {
a,b -> a.lastModified().compareTo b.lastModified()
}.each {
println it.lastModified() + " " + it.name
}
As I was trying to solve a similar problem, learnt a much cleaner approach.
Define a closure for sorting
def fileSortCondition = { it.lastModified() }
And File.listFiles() has other variation which accepts FileFilter and FilenameFilter in Java, and these interfaces has a single method called accept, Implement the interface as a closure.
def fileNameFilter = { dir, filename ->
if(filename.matches(regrx))
return true
else
return false
} as FilenameFilter
And lastly
new File("C:\\Log_Dir").listFiles(fileNameFilter).sort(fileSortCondition).reverse()
Implement FileFilter interface if filtering is to be done by File attributes.
def fileFilter = { file ->
if(file.isDirectory())
return false
else
return true } as FileFilter