isoos / elastic_client Goto Github PK

good day everyone, I'm doing end of study project
is there a way to authenticate elastic_client using self signed certificate (pem)

Same as the example
final rs = await client.search( 'my_index', 'my_type', elastic.Query.term('some', ['data']));

and the traceback
Unhandled exception: type '_InternalLinkedHashMap<String, dynamic>' is not a subtype of type 'int' in type cast #0 Client.search (package:elastic_client/src/elastic_client_impl.dart:123:46) <asynchronous suspension> #1 main (package:dartcli/dartcli.dart:12:27) <asynchronous suspension> #2 _startIsolate.<anonymous closure> (dart:isolate-patch/isolate_patch.dart:300:19) #3 _RawReceivePortImpl._handleMessage (dart:isolate-patch/isolate_patch.dart:171:12)

Just stumbled upon the merge header error and forked the repo to fix it, however, the code is already fixed.
Maybe it is missing a PR?

I am trying to use nested aggs but the result is not parsed.

I've dug the Aggregation constructor and it doesn't parse inner aggregations within an aggregation.

I am not a elasticsearch expert, so I don't know if I am doing something wrong.

Here is the code:

final rs1 = await searchDbClient.search('watched', '', null,
        limit: 0,
        aggregations: {
          'calc': {
            'filter': {
              'term': {'eventId': '5eb1802b8ef23f8605ef11fd'}
            },
            'aggs': {
              'visitors': {
                'terms': {'field': 'visitorId.keyword'},
                'aggs': {
                  'first_event': {
                    'top_hits': {
                      'sort': [
                        {
                          'date': {'order': 'desc'}
                        }
                      ],
                      'from': 0,
                      'size': 1
                    }
                  }
                }
              }
            }
          }
        },
        source: true);
    print('calc!: ');
    rs1.aggregations.forEach((k, vv) {
      print(k);
      print(vv.toMap());
    });

it only prints

calc
{name: calc}

The result is ok when executed within kibana's console:

{
  "took" : 0,
  "timed_out" : false,
  "_shards" : {
    "total" : 5,
    "successful" : 5,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : 278,
    "max_score" : 0.0,
    "hits" : [ ]
  },
  "aggregations" : {
    "calc" : {
      "doc_count" : 278,
      "visitors" : {
        "doc_count_error_upper_bound" : 0,
        "sum_other_doc_count" : 0,
        "buckets" : [
          {
            "key" : "5eb6d70a2b5550f5a3fcb9c3",
            "doc_count" : 278,
            "first_event" : {
              "hits" : {
                "total" : 278,
                "max_score" : null,
                "hits" : [
                  {
                    "_index" : "watched",
                    "_type" : "_doc",
                    "_id" : "blhyAHIBF4DbsdYY9OUO",
                    "_score" : null,
                    "_source" : {
                      "eventId" : "5eb1802b8ef23f8605ef11fd",
                      "itemId" : "5eb86b8774ea3964d6ee0aee",
                      "questionId" : "5e895842fa09c4a0aa9a6dd5",
                      "visitorId" : "5eb6d70a2b5550f5a3fcb9c3",
                      "time" : null,
                      "index" : 4,
                      "date" : "2020-05-10T21:17:12.714295Z"
                    },
                    "sort" : [
                      1589145432714
                    ]
                  }
                ]
              }
            }
          }
        ]
      }
    }
  }
}

I'd like to implement autocomplete using one of the following strategies: https://medium.com/@mourjo_sen/a-detailed-comparison-between-autocompletion-strategies-in-elasticsearch-66cb9e9c62c4. How do I write these queries using your client?

Hi,

I understood the benefits of this package and really appreciate the work, but it would be great if there is a proper example for making POST calls to a rest API so that it would be easy to us to make a serachQuery format and make the needful, I have gone through several articles in which I could not understand how to format a searchQuery for the below json, any help would be great and thanks.

Here is my json body for a rest API call:

{
"size": 0,
"aggs": {
"sales_over_time": {
"date_histogram": {
"field": "createdon",
"calendar_interval": "hour"
},
"aggs":{
"revenuetype":{
"terms":{
"field":"revenuetype"
},
"aggs":{
"amount":{
"sum":{
"field":"amount"
}
}
}
}
}
}
}
}

[class Client, abstract class Client]
The name 'Client' is defined in the libraries 'package:elastic_client/src/elastic_client_impl.dart (via package:elastic_client/elastic_client.dart)' and 'package:http/src/client.dart (via package:http/http.dart)'.
Try using 'as prefix' for one of the import directives, or hiding the name from all but one of the imports.dartambiguous_import
'Client' isn't a function.
Try correcting the name to match an existing function, or define a method or function named 'Client'.dartinvocation_of_non_function

Line taken from: https://github.com/isoos/elastic_client/blob/master/example/example.dart

In my pubspec.yaml I have installed:
elastic_client: ^0.3.1

some help would be very appreciated!

Hello,
I was attempting to use your plug in but I cant seem to get it to work using your example as a guide.

var client = new elastic.Client(ConsoleHttpTransport(Uri.parse('http://35.198.171.246//elasticsearch/'), basicAuth: BasicAuth('user','******')) );

Then I built a test function

search()
async {
final rs2 = await client.search(

  'companies',

  'companies',

  elastic.Query.term('companies.companyName', ['data']),

  source: ['companies.companyName', 'companyName'],

  //sort: [{ "name" : "asc" }, { "name.keyword" : "asc" }]

);
  print(rs2.toMap());

}

Then I am getting the following Error

E/flutter ( 4289): Exception: Failed to search {terms: {companies.companyName: [data]}}
E/flutter ( 4289): #0 Client.search
package:elastic_client/src/elastic_client_impl.dart:127
E/flutter ( 4289):
E/flutter ( 4289): #1 _ClientSearchState.search
package:GreenSFA/agentPages/searchClient.dart:389
E/flutter ( 4289):
E/flutter ( 4289): #2 _ClientSearchState.build

Hello. I am an elastic beginner student using the elastic_client package. I would like to communicate with my elasticsearch with read permission via username and password in Flutter app. How can I do it??

Hi I'm getting this error : "SocketException (SocketException: OS Error: Connection refused, errno = 111, address = localhost, port = 53392)."

this is the code I wrote :

Future <List> fetchElaProperty() async {
String url = 'http://localhost:9200/';
final transport =ConsoleHttpTransport(Uri.parse(url));
final client = elastic.Client(transport);
//in the code below is whre I get the error.
final response = await client.search(
'fproperty',
'_doc',
elastic.Query.term('purpose', ['venta']),
source: true
);
print(response.toMap());
}

Hey @isoos ,

I am using opendistro with elasticsearch, open distro basic auth is enabled.
To get the response successfully from the server we need to send the request in the following way: curl -XGET https://<IP Address>:9200 -u userid:password --insecure

You see additional parameters -u userid:password --insecure is always required to get a response.

any idea how can we do this here?

Hi there,

I've recently upgraded flutter to 3.13.4 and began work on null safety.

In some cases, for example top_hits aggregations, the _score key is missing from the hits causing an error when casting the null value to double.

https://github.com/isoos/elastic_client/blob/master/lib/src/elastic_client_impl.dart#L147C15-L147C46

Fixed it for now with score: map['_score'] != null ? map['_score'] as double : 0.0, but there might be a better solution of course.

Unable to run a complicated query for example:

{
"suggest": {
"movie-suggest" : {
"prefix" : "captain america the",
"completion" : {
"field" : "name.completion"
}
}
}
}

Any idea how this can be achieved?

I can't communicate with elasticsearch only on ios device without any error.... Doesn't this plugin support iOS??

My user search
"the avenger infinity war"

so I need complex query in three part
Part 1: importance 1.5
phrase search : "the avenger infinity war"

PArt 2: importance 1.0
Word search "the" and "avenger" and "infinity" and "war"

PArt 3: importance 0.5
Fuzzy search
"the"~0.5 and
"avenger"~0.5 and
"infinity"~0.5 and
"war"~0.5

combining this search to one. well I am willing to contribute if you show me some way to build this, in string version i can made this, but don't know how to build in Map<dynamic, dynamic>

is there any way, just a small hint will also be much helpful.

even just a small reference of code how to combine multiple query into one would be helpful, and in response I am happy to share my final search query builder code. I did same with lucene.net desktop version with much more complex query, I am trying to do same here, and I am sure that this will help many other fellow programmers.

Good morning. Thank you for creating the elastic_client package. I want to implement a list of 10 items, in order, from elasticsearch and attach them to the app list and display them to the user. How can I do this for this?? Please help me in this question.

Hi, the client works great for my use case on a device but when I try and call search from the web I get the following error.

errors.dart:165 Uncaught (in promise) Error: Unsupported operation: Platform._version
    at Object.throw_ [as throw] (errors.dart:214)
    at Function._version (io_patch.dart:289)
    at Function.get version [as version] (platform_impl.dart:119)
    at get _version (platform.dart:74)
    at Function.desc.get [as _version] (operations.dart:781)
    at Function.get version [as version] (platform.dart:231)
    at Object._getHttpVersion (http_impl.dart:3374)
    at new _http._HttpClient.new (http_impl.dart:2157)
    at Function.new (http.dart:1556)
    at Function.new (console.dart:45)
    at new console_http_transport.ConsoleHttpTransport.new (console_http_transport.dart:10)
    at new elastic.Elastic.new (elastic.dart:13)
    at chat_screen._ChatScreenState.new.filteredStream (chat_screen.dart:81)
    at chat_screen.dart:66
    at chat_screen._ChatScreenState.new.setState (framework.dart:1236)
    at chat_screen._ChatScreenState.new.<anonymous> (chat_screen.dart:65)
    at Generator.next (<anonymous>)
    at runBody (async_patch.dart:84)
    at Object._async [as async] (async_patch.dart:123)
    at editable_text.EditableText.new.<anonymous> (chat_screen.dart:63)
    at editable_text.EditableTextState.new.[_formatAndSetValue] (editable_text.dart:1788)
    at editable_text.EditableTextState.new.updateEditingValue (editable_text.dart:1349)
    at text_input.TextInput.__._handleTextInputInvocation (text_input.dart:1121)
    at _handleTextInputInvocation.next (<anonymous>)
    at runBody (async_patch.dart:84)
    at Object._async [as async] (async_patch.dart:123)
    at text_input.TextInput.__.[_handleTextInputInvocation] (text_input.dart:1081)
    at OptionalMethodChannel._handleAsMethodCall (platform_channel.dart:430)
    at _handleAsMethodCall.next (<anonymous>)
    at runBody (async_patch.dart:84)
    at Object._async [as async] (async_patch.dart:123)
    at OptionalMethodChannel.[_handleAsMethodCall] (platform_channel.dart:427)
    at platform_channel.dart:383
    at handlePlatformMessage (binding.dart:265)
    at handlePlatformMessage.next (<anonymous>)
    at runBody (async_patch.dart:84)
    at Object._async [as async] (async_patch.dart:123)
    at _DefaultBinaryMessenger.handlePlatformMessage (binding.dart:256)
    at Object._invoke3 (window.dart:756)
    at _engine.EngineWindow.new.invokeOnPlatformMessage (window.dart:424)
    at _engine.TextEditingChannel.new.updateEditingState (text_editing.dart:1094)
    at _engine.GloballyPositionedTextEditingStrategy.new.<anonymous> (text_editing.dart:1280)
    at _engine.GloballyPositionedTextEditingStrategy.new.[_handleChange] (text_editing.dart:698)
    at Object._checkAndCall (operations.dart:324)
    at Object.dcall (operations.dart:329)
    at HTMLInputElement.<anonymous> (html_dart2js.dart:37175)

If helpful here is the code I'm using

class Elastic {
  static const URL =
      "URL";
  static const USERNAME = "USERNAME";
  static const PASSWORD = "PASSWORD";
  Transport transport;
  Client client;
  Elastic() {
    transport = ConsoleHttpTransport(Uri.parse(URL),
        basicAuth: BasicAuth(USERNAME, PASSWORD));
    client = elastic.Client(transport);
  }

  Future<List<MessageBubble>> search({
    String searchTerm,
    String senderEmail,
  }) async {
    List<MessageBubble> res;
    try {
      final SearchResult result = await client.search('messages', '_doc',
          elastic.Query.match('text', searchTerm, minimum: senderEmail),
          source: true);

      if (result.toMap()['totalCount'] == 0) {
        return [];
      } else {
        res = result
            .toMap()['hits']
            .map((e) => e['doc'])
            .map<MessageBubble>((e) => MessageBubble(
                text: e['text'],
                sender: e['sender'],
                isMe: senderEmail == e['sender']))
            .toList();
      }
    } catch (e) {
      print("this is a problem in web $e");
    }

    return res;
  }
}

First problem:

There is no way to retrieve only suggestions since the 'query' field is mandatory. Unnecessary data is returned, consuming unnecessary network resources.

\elastic_client-0.3.15\lib\src\_client.dart at line 300

  final map = {
      if (source != null) '_source': source,
      if (fields != null) 'fields': fields,
      'query': query ?? Query.matchAll(),                            // hereeeeee
      if (offset != null) 'from': offset,
      if (limit != null) 'size': limit,
      if (suggest != null) 'suggest': suggest,
      if (sort != null) 'sort': sort,
      if (aggregations != null) 'aggregations': aggregations,
      if (highlight != null) 'highlight': highlight.toMap(),
      if (trackTotalHits != null) 'track_total_hits': trackTotalHits,
      if (size != null) 'size': size,
      if (minScore != null) 'min_score': minScore,
      if (knn != null) 'knn': knn,
    };

Second Issue:

The mapping with the response JSON does not match as illustrated below.

Elasticsearch Response Version: 8.11.4

{
    "took": 0,
    "timed_out": false,
    "_shards": {
      "total": 1,
      "successful": 1,
      "skipped": 0,
      "failed": 0
    },
    "hits": {
      "total": {
        "value": 0,
        "relation": "eq"
      },
      "max_score": null,
      "hits": []
    },
    "suggest": {
      "suggestion": [
        {
          "text": "123",
          "offset": 0,
          "length": 3,
          "options": [
            {
              "text": "123",
              "_index": "suggestions",
              "_id": "123",
              "_score": 30,
              "_source": {
                "name": "123",
                "suggest": {
                  "input": [
                    "123"
                  ],
                  "weight": 30
                }
              }
            }
          ]
        }
      ]
    }
  }

Mapping of the file \elastic_client-0.3.15\lib\src\_client.dart at line 331

return SuggestHitOption(
            m['text'] as String,
            m['score'] as double, // <--------hereee
            freq: (m['freq'] ?? -1) as int,
            highlighted: m['highlighted'] as String,
          );

Hi,
It seems that term_enum_ API is not supported. Is there any plan to support it in a near future ?
https://www.elastic.co/guide/en/elasticsearch/reference/8.1/search-terms-enum.html
Best,

How can I do POST query in elastic_client package??

Hello,

I have a question, using your plug in how can I make a prefix query "prefix": { "itemCode.keyword": "111"...

@mayankjanmejay: I've published 0.1.7 that should handle the hits.total.value response. Could you please open separate issues for the new ones? It is easier to track the separate threads and answer them accordingly.

Originally posted by @isoos in #10 (comment)

Can you add a description to the package so we know what it's for? I was about to share it, but there's no info to help the dev know what it is and how to use it

The resulting data is truncated. how can i solve it??
Is it a fragment_size problem

??

Sorry am i missing something? How do i do a filter query like this
GET /shirts/_search
{
"query": {
"bool": {
"filter": [
{ "term": { "color": "red" }},
{ "term": { "brand": "gucci" }}
]
}
},
"aggs": {
"models": {
"terms": { "field": "model" }
}
}
}

abstract class Query {

static Map bool({
dynamic must,
dynamic filter,
dynamic should,
dynamic mustNot,
}) {
return {
'bool': {
if (must != null) 'must': must,
if (filter != null) 'filter': filter,
if (should != null) 'should': should,
if (mustNot != null) 'mustNot': mustNot,
}
};
}

I am new to flutter, and Since last few days i am struggling with configuring HighlightOptions field in elastic_client,

can anyone help me HighlightOptions example,

thanks from me, you guyz did a great job, it helped me a lot to connect and search my flutter app to ES. just his HighlightOptions part I can't figure out, its quite complicated for me.

Hi, thanks for this Elasticsearch client!

I would like to be able to use source filtering as per https://www.elastic.co/guide/en/elasticsearch/reference/7.2/search-request-source-filtering.html.

This doesnt work at the moment because in the Client.search() method in elastic_client_impl.dart "_source" is always set as a bool. Elasticsearch allows this to be a boolean, a string or a list of strings (I need the latter).

To make this possible i would like to make the following changes:

• Add a param 'source' with type dynamic to the search() method
• if that has a value then use it as "_source"
• if it does not have a value then set it to true or false based on the fetchSource param

(Note that the fetchSource param is only kept to ensure this is a backwards compatible change. If you are not concerned with keeping backwards compatibility then the change can simply be:

• Rename fetchSource param to source, and change its type from bool to dynamic)

Would you accept a PR that makes those changes?:

First of all, thank you for creating an maintaining the project!

I started using flutter with elastic search yesterday and started using this package.

But when searching with an aggregation I unfortunately got an error in https://github.com/isoos/elastic_client/blob/master/lib/src/elastic_client_impl.dart in lines 130-134.

name = name;  
value = m['value'];  
values = m['values'] as Map;  
docCountErrorUpperBound = m['doc_count_error_upper_bound'] as int;  
sumOtherDocCount = m['sum_other_doc_count'] as int;  

My search query:

client.search(index: 'sensordata', type: '', aggregations: {
      'values': {
        'composite': {
          'sources': [
            {
              'value': {
                'terms': {'field': 'sensorname'}
              }
            }
          ]
        }
      }
    });

I looked up in the documentation https://pub.flutter-io.cn/documentation/elastic_client/latest/elastic_client/Aggregation-class.html and found that values for example should be of type Map? but is, as seen in the code block above of type Map.

After making the fields values, docCountErrorUpperBound and sumOtherDocCount nullable everything worked fine.

Can anybody confirm that problem?

Please use this issue to describe what kind of breaking changes you'd like to see for the next major release.

I can search for a document by one field and get results just fine, but how can I get the values from the other fields that specific document has?

My expected result:

ListTile(
   title: Text(foodName),
   subtitle: Text(brandName),
);

This is my working code (you're free to add it as a real-world-example using Elastic Cloud in this repo if you want):

import 'package:elastic_client/elastic_client.dart';
import 'package:flutter/material.dart';
import 'package:elastic_client/elastic_client.dart' as elastic;

class ElasticSearchDelegate extends SearchDelegate {

  @override
  List<Widget> buildActions(BuildContext context) {
    return [
      IconButton(
        icon: Icon(Icons.clear),
        onPressed: () async {
          query = '';
          await searchElasticServer(query);
        },
      ),
    ];
  }

  @override
  Widget buildLeading(BuildContext context) {
    return IconButton(
      icon: Icon(Icons.arrow_back),
      onPressed: () {
        close(context, null);
      },
    );
  }

  Future searchElasticServer(searchQuery) async {
    final transport = HttpTransport(
      url: 'ELASTIC_SEARCH_ENDPOINT_URL',
      authorization: basicAuthorization("ELASTIC_SEARCH_USERNAME", "ELASTIC_SEARCH_PASSWORD"));
    final client = elastic.Client(transport);

    List<String> foodsList = List();

    final searchResult = await client.search(
        index: 'foods', 
        type: '_doc', 
        query: elastic.Query.term('foodName', ['$searchQuery']),
        source: true);

    print("----------- Found ${searchResult.totalCount} $searchQuery ----------");

    for(final iter in searchResult.hits){
      Map<dynamic, dynamic> currDoc = iter.doc;

      print(currDoc);

      foodsList.add(
        currDoc['foodName'].toString(),
        );
    }

    await transport.close();

    if(searchResult.totalCount <= 0 )
      return null;
    else
      return foodsList;
  }

  @override
  Widget buildResults(BuildContext context) {
    return FutureBuilder(
      future: searchElasticServer(query),
      builder: (BuildContext context, AsyncSnapshot snapshot) {
        if (!snapshot.hasData) return Center(child: Text("No results"));

        return  _displayFoodResult(snapshot.data) ;
      },
    );
  }

  @override
  Widget buildSuggestions(BuildContext context) {

    return FutureBuilder(
      future: searchElasticServer(query),
      builder: (BuildContext context, AsyncSnapshot snapshot) {
        if (!snapshot.hasData) return Text("No results");

        return _displayFoodResult(snapshot.data) ;
      },
    );
  }


  Widget _displayFoodResult( List<String> foodList) {
    return ListView.builder(
      itemCount: foodList.length,
      itemBuilder: (BuildContext context, int index) {
        return ListTile(
          title: Text(foodList[index]),
        );
      }
    );
  }

}

Result on screen:

Debug Console result:

roadmaps ect.. + would like to join as contributor since i need to back fully functioning flutter web app with elasticsearch

When trying to use this package in flutter web I come across this error. XMLHttpRequest error. On ios and Android it works fine. Any Idea's how to fix this issue?

Error: XMLHttpRequest error.
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/_internal/js_dev_runtime/patch/core_patch.dart 910:28 get current
packages/http/src/browser_client.dart 69:22
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/zone.dart 1685:54 runUnary
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/future_impl.dart 159:18 handleValue
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/future_impl.dart 766:44 handleValueCallback
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/future_impl.dart 795:13 _propagateToListeners
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/future_impl.dart 592:7 [_complete]
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/stream_pipe.dart 61:11 _cancelAndValue
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/async/stream.dart 1288:7
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 334:14 _checkAndCall
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/_internal/js_dev_runtime/private/ddc_runtime/operations.dart 339:39 dcall
C:/b/s/w/ir/cache/builder/src/out/host_debug/dart-sdk/lib/html/dart2js/html_dart2js.dart 37301:58

at Object.createErrorWithStack (http://localhost/dart_sdk.js:5080:12)
at Function._throw (http://localhost/dart_sdk.js:20337:18)
at Function.throwWithStackTrace (http://localhost/dart_sdk.js:20334:18)
at async._AsyncCallbackEntry.new.callback (http://localhost/dart_sdk.js:40851:18)
at Object._microtaskLoop (http://localhost/dart_sdk.js:40708:13)
at _startMicrotaskLoop (http://localhost/dart_sdk.js:40714:13)
at http://localhost/dart_sdk.js:36191:9

The field type in the search method (and probably in other places) should be made optional with the default value _doc, because of doc types being deprecated in newer Elasticsearch versions.

Please write example on (elastic_client) DART from my python code.

q = {
  "query": {
    "multi_match": {
      "query":    "John*",
      "fields": "*"
    }
  }
}

res = es.search(index="kpmi_etalon_obj", body=q)
print("Got %d Hits:" % res['hits']['total']['value'])
for hit in res['hits']['hits']:
    print(hit['_source']['etalonId'])

Considering dart is primarily a mobile centric language due to its early adoption with flutter. I really think native app search methods should be high priority for this client.

Please correct me if I'm mistaken and this package already works with appsearch?

Hi,

I am trying to get phrases suggestions on my Flutter app using client.search() from https://pub.dev/packages/elastic_client

Works fine on REST API :
`{
"suggest":{
"text": "Britih",
"content": {
"phrase": {
"field": "content",
"highlight": {
"pre_tag": "",
"post_tag": ""
}
}
}
}

}`

However, when I replicate this request on dart/Flutter, I get the following error:
[ERROR:flutter/lib/ui/ui_dart_state.cc(209)] Unhandled Exception: type 'Null' is not a subtype of type 'int' in type cast #0 Client.search.<anonymous closure>.<anonymous closure>.<anonymous closure> (package:elastic_client/src/_client.dart:331:29) #1 MappedListIterable.elementAt (dart:_internal/iterable.dart:413:31) #2 ListIterator.moveNext (dart:_internal/iterable.dart:342:26)

It seems to me that in _client.dart, frequency is expected but elastic return none.

return SuggestHitOption(
            m['text'] as String,
            m['score'] as double,
            freq: m['freq'] as int, <== ligne 331
            highlighted: m['highlighted'] as String,
          );

If I run the following query in Kibana it works, but a need to implement it in flutter. Please, can you teach me how can I map a query.

POST /books/_search
{
    "query": {
        "match_phrase": {
            "name" : {
                "query" : "Roberts book",
                "slop": 50
            }
        }
    }
}

My data structure is:

      {
        "_index" : "books",
        "_type" : "_doc",
        "_id" : "JMxi8Hc0000OUUP9xbBZ",
        "_score" : 0.10404301,
        "_source" : {
          "name" : "Roberts beautiful book is a good option to your weekends.",
          "appearance-date" : 1938,
          "keywords" : [
            "happy",
            "sun",
            "sea"
          ]
        }
      }

I tried to follow this example but without success.

Thanks,
Ricardo