We Keep Coding

Get text nodes separately (in the correct order) with fast-xml-parser?

No matter what options I try, I seem to get all text nodes clustered together, without any information on where the inner XML nodes were inserted. It's easier to explain with a simple example:
<a>left <b>middle</b> right</a>
I expect this to give me something like this:
{
tag: 'a',
children: [
'left ',
{ tag: 'b', children: ['middle'] },
' right',
]
}
The exact format doesn't matter, but middle is between left and right. The order of children elements is important to me. With fast-xml-parser, what I get instead is the following:
{
"a": {
"#text": "left right",
"b": "middle",
}
}
I don't mind the different format, but I lost the information about the position of the <b>middle</b> node. From the JavaScript tree version of the XML file, there's no way to differentiate between these files, as they all parse into the same structure.
<a>left right<b>middle</b></a>
<a><b>middle</b>left right</a>
<a>left <b>middle</b> right</a>
<a>le<b>middle</b>ft right</a>
Is there an option which will allow me to preserve the order of text nodes?

Unfortunately, it seems like the answer is that this option is simply not available in fast-xml-parser, as per this issue I found: https://github.com/NaturalIntelligence/fast-xml-parser/issues/175. Text nodes will get merged as one, and the team member explains that this is "not a bug but expected behavior".

Dialogflow composite entity parameter is undefined when it shouldn't be

Long story short, I'm making a real estate agent chatbot and I just implemented a filter allowing the user to search within a range of numbers (e.g. at least one bedroom, under $2500). In order to do this, I made an entity_range composite entity composed of the range type (e.g. at most, exactly) and the entity itself (unit-currency for price, plus some custom entities like the number of bedrooms). Prior to creating entity_range, the entities themselves worked fine. But now, it seems as though the entity part of entity_range is undefined. See a sample of my code below:
function get_count(req, res) {
console.log("price: " + req.queryResult.parameters["entity_range"]["unit-currency"])
var price, beds, baths, num_filter_funct
if(req.queryResult.parameters["entity_range"]["unit-currency"] != undefined) {
price = req.queryResult.parameters["entity_range"]
console.log("price: " + price)
} else {
console.log("could not find parameter")
}
Before creating entity_range, my code looked exactly the same, except without ["entity_range"] between parameters and ["unit-currency"]. Anyway, this code logs:
price: undefined
could not find parameter
after the input "How many for $2500," with the following diagnostic info:
...
"queryResult": {
"queryText": "how many for $2500",
"parameters": {
"entity_range": [
{
"unit-currency": {
"amount": 2500,
"currency": "USD"
}
}
]
}...
So the entity "unit-currency" is recognized by Dialogflow, but not by my program. entity_range does allow users to not specify a range, so that's not the issue:
see screenshot here.
I would greatly appreciate any advice you have to offer!

That JSON shows entity_range being an array instead of an object. an object.
parameters.entity_range[0][“unit-currency”] should work. Note the [0]. You’ll also want to add some checks before this to make sure enitiy_range exists and it’s length is > 0.
And this part is just a guess but perhaps you mistakenly clicked the “Is List” box for this parameter in dialogflow? I’m checking it would probably make it be an object instead of an array and your existing code would work.

mongodb - find and replace partial string across various fields

Say I have a URL: aaa.something.com/id that is found in several collections, in many different fields.
I would like to change it to bbb.something.com/id via regex (or similar) to find and replace only the prefix of the URL string.
The following:
db.tests.find({ "url": /^aaa\.something\.com\// }).forEach(function(doc) {
doc.url = doc.url.replace(/^aaa\.something\.com\//, "bbb.something.com/");
db.tests.update({ "_id": doc._id },{ "$set": { "url": doc.name } });
});
assumes that the field is always known to be url.
But in the database, The URL could be found in a number of locations such as:
content.photo
content.media
content.media[i].data
avatar
url

You can a wildcard text index and then use $text to find documents which match the specified regex. Once you get these docs you can write Javascript code for finding keys which match your regex and replacing them as needed.

Create a table with alphabetical sorting and search

I wants to create a table (with alphabetical filter and search) like this(example). In which by clicking on any alphabet table shows name that started with only that alphabet. And also have a search option.
I have searched a lot on google but couldnt find table like that. Any one have any idea how i can get that table.

On both letter click and search events, you should run a JS filter function on your data set and display only the relevant data.
A naive example of a filter function:
function filterByProperty(data, prop, searchString) {
return data.filter(function(singleObject) {
return singleObject[prop].indexOf(searchString) === 0;
});
}
var dataSet = [
{
name: "Amanda",
company: "Google"
},
{
name: "Johnny",
company: "Facebook"
},
{
name: "Max",
company: "Go Daddy"
}
];
// Will return a collection containing the first and third objects in dataSet.
var filteredData = filterByProperty(dataSet, "company", "G");

It used a plugin called: DataTable, you can follow the guide here to make your own alphabet search.
https://www.datatables.net/blog/2014-08-26
No enough reputation to comment, so...

From Chrome Developers(Press F12 -> click on Network tab & reload the page) tool
I see dynamic-table.js(not sure if this is library or custom file ) &
jquery.dataTables.jsis used. So you can take a look into these library

I have found solution of my problem through the link provided below.
SOLUTION IS HERE
Note : In this solution only alphabetical filter is available, search feature is not there. Search feature was not that important to me, so I am fine with only alphabet filter.

Elasticsearch multi_match query

I have a search text field in a web GUI for an Elasticsearch index which has two different types of fields that need to be searched on; fulltext (description) and an exact match (id).
Question 1 - How should I add the second exact match query for the id field? When I search for IDs, the exact ID is within the result "set," but it should be the only result.
The description search seems to be working correctly, just not the ID search.
"multi_match": {
"fields": ["id", "description"],
"query": query,
"description": {
"fuzziness": 1,
"operator": "and"
}
}

I think that you are looking for something like this. Try it.
{
"query": {
"bool": {
"must": [ {
"match": {
"description": {
"fuzziness": 1,
"query": "yourfuzzinessdescription"
}
}
},
{
"term" : {
"id" : 1
}
}
]
}
}
}

Dani's query structure is probably what you are looking for but perhaps you also need an alternative to the fuzziness aspect of the query. Or maybe not - can you please provide an example of an user input for the description field and what you expect that to match that up with?
Looking at Match Query documentation and Elasticsearch Common Options - fuzziness, that fuzziness is based on Levenshtein Distance. So, that query corresponds to allowing an edit distance of 1 and will allow minor misspellings and such. If you keep the and operator in the original query, then all terms in the query must get matched. Given you have a document with a description like "search server based on Lucene", you will not be able to retrieve that with a description query like "lucene based search server". Using an analyzer with the stop filter and a stemming filter in combination with a match phrase query with a slop would work? But again, it depends on what you are trying.