Swift

dependencies: [
  .package(url: "https://github.com/emojisense/emojisense-swift.git", from: "0.1.0"),
],
targets: [
  .target(
    name: "App",
    dependencies: [.product(name: "Emojisense", package: "emojisense-swift")]
  ),
]

import Emojisense

// 1. Load the core packs. English is always first.
let packURL = URL(string: "https://api.emojisense.com/v1/pack/0.1.0")!
let loader = PackLoader(baseURL: packURL)
let manifest = try await loader.loadManifest()
let core = try await loader.loadPacks(locales: ["en", "tr"], manifest: manifest)
var engine = try AliasEngine(core: core)

// 2. Search on every keystroke. Synchronous and fast.
let alias = engine.search("jurassic pa", options: AliasSearchOptions(locale: "en"))
var results = alias.results.map(\.searchResult)

// 3. When the device is idle, add the extension parts and rebuild the index.
let extensions = try await loader.loadPacks(
  locales: ["en", "tr"], part: .ext, manifest: manifest)
engine = try AliasEngine(core: core, extensions: extensions)

// 4. Semantic layers: static shards first, then the API.
let semantic = ProviderChain([
  ShardProvider(baseURL: URL(string: "https://api.emojisense.com/p/0.1.0")!),
  SemanticClient(
    configuration: .init(
      endpoint: URL(string: "https://api.emojisense.com")!, key: "pk_live_…",
      packVersion: engine.packVersion)),
])
if Fusion.shouldUseSemantic(alias),
  let response = try await semantic.search("jurassic pa", options: .init(locale: "en"))
{
  results = Fusion.fuse(alias: alias, semantic: response.results)
}