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โก The Meilisearch API client written in Dart
Meilisearch Dart is the Meilisearch API client for Dart and Flutter developers.
Meilisearch is an open-source search engine. Discover what Meilisearch is!
- ๐ Documentation
- ๐ง Installation
- ๐ Getting Started
- ๐ค Compatibility with Meilisearch
- ๐ก Learn More
- โ๏ธ Development Workflow and Contributing
See our Documentation or our API References.
You can install the meilisearch package by adding a few lines into pubspec.yaml
file.
dependencies:
meilisearch: ^0.5.1
Then open your terminal and update dart packages.
pub get
There are many easy ways to download and run a Meilisearch instance.
For example, using the curl
command in your Terminal:
#Install Meilisearch
curl -L https://install.meilisearch.com | sh
# Launch Meilisearch
./meilisearch --master-key=masterKey
NB: you can also download Meilisearch from Homebrew or APT or even run it using Docker.
import 'package:meilisearch/meilisearch.dart';
void main() async {
var client = MeiliSearchClient('http://127.0.0.1:7700', 'masterKey');
// An index is where the documents are stored.
var index = client.index('movies');
const documents = [
{ id: 1, title: 'Carol', genres: ['Romance', 'Drama'] },
{ id: 2, title: 'Wonder Woman', genres: ['Action', 'Adventure'] },
{ id: 3, title: 'Life of Pi', genres: ['Adventure', 'Drama'] },
{ id: 4, title: 'Mad Max: Fury Road', genres: ['Adventure', 'Science Fiction'] },
{ id: 5, title: 'Moana', genres: ['Fantasy', 'Action']},
{ id: 6, title: 'Philadelphia', genres: ['Drama'] },
]
// If the index 'movies' does not exist, Meilisearch creates it when you first add the documents.
var task = await index.addDocuments(documents); // => { "uid": 0 }
}
With the uid
, you can check the status (enqueued
, processing
, succeeded
or failed
) of your documents addition using the task.
// Meilisearch is typo-tolerant:
var result = await index.search('carlo');
print(result.hits);
JSON Output:
[
{
"id": 1,
"title": "Carol",
"genres": ["Romance", "Drama"]
}
]
All the supported options are described in the search parameters section of the documentation.
var result = await index.search(
'carol',
attributesToHighlight: ['title'],
);
JSON output:
{
"hits": [
{
"id": 1,
"title": "Carol",
"_formatted": {
"id": 1,
"title": "<em>Carol</em>"
}
}
],
"offset": 0,
"limit": 20,
"processingTimeMs": 0,
"query": "carol"
}
This package only guarantees the compatibility with the version v0.25.0 of Meilisearch.
The following sections may interest you:
- Manipulate documents: see the API references or read more about documents.
- Search: see the API references or follow our guide on search parameters.
- Manage the indexes: see the API references or read more about indexes.
- Configure the index settings: see the API references or follow our guide on settings parameters.
Any new contribution is more than welcome in this project!
If you want to know more about the development workflow or want to contribute, please visit our contributing guidelines for detailed instructions!
Meilisearch provides and maintains many SDKs and Integration tools like this one. We want to provide everyone with an amazing search experience for any kind of project. If you want to contribute, make suggestions, or just know what's going on right now, visit us in the integration-guides repository.