更新阅读器功能与示例
This commit is contained in:
shen
@@ -0,0 +1,23 @@
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import Foundation
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public enum RDAIDiagnosticStage: String, Codable, Sendable { case indexing, retrieval, generation, storage }
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public struct RDAIDiagnosticEvent: Codable, Sendable {
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public let documentHash: String
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public let stage: RDAIDiagnosticStage
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public let durationMilliseconds: Int
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public let errorCode: String?
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public let count: Int
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public let createdAt: Date
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public init(documentHash: String, stage: RDAIDiagnosticStage, durationMilliseconds: Int, errorCode: String? = nil, count: Int = 0, createdAt: Date = .init()) { self.documentHash = documentHash; self.stage = stage; self.durationMilliseconds = durationMilliseconds; self.errorCode = errorCode; self.count = count; self.createdAt = createdAt }
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}
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public protocol RDAIDiagnosticsRecording: Sendable { func record(_ event: RDAIDiagnosticEvent) async }
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public actor RDAIInMemoryDiagnosticsRecorder: RDAIDiagnosticsRecording {
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private var values: [RDAIDiagnosticEvent] = []
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public init() {}
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public func record(_ event: RDAIDiagnosticEvent) { values.append(event) }
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public func events() -> [RDAIDiagnosticEvent] { values }
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public func removeAll() { values.removeAll() }
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}
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@@ -0,0 +1,528 @@
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import CryptoKit
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import Foundation
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public struct RDAIIndexOptions: Sendable {
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public var scope: RDAIReadScope
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public var priorityResource: RDAIResourceIdentifier?
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public init(scope: RDAIReadScope, priorityResource: RDAIResourceIdentifier? = nil) {
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self.scope = scope
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self.priorityResource = priorityResource
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}
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}
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public enum RDAIIndexState: Equatable, Sendable {
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case notStarted
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case indexing(completedResources: Int, totalResources: Int)
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case paused(completedResources: Int, totalResources: Int)
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case ready
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case failed(RDAIError)
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}
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public struct RDAIRetrievalOptions: Sendable {
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public var maximumResults: Int
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public var scope: RDAIReadScope
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public var minimumScore: Double
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public init(maximumResults: Int = 4, scope: RDAIReadScope, minimumScore: Double = 0.01) {
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self.maximumResults = max(1, maximumResults)
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self.scope = scope
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self.minimumScore = min(max(minimumScore, 0), 1)
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}
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}
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public struct RDAIRetrievalMatch: Sendable, Identifiable {
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public let id: String
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public let passage: RDAIPassage
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public let score: Double
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public let lexicalScore: Double
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public let semanticScore: Double?
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public init(passage: RDAIPassage, score: Double, lexicalScore: Double, semanticScore: Double? = nil) {
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id = passage.id
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self.passage = passage
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self.score = score
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self.lexicalScore = lexicalScore
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self.semanticScore = semanticScore
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}
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}
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public enum RDAIContentHasher {
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public static func hash(_ text: String) -> String {
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SHA256.hash(data: Data(text.utf8)).map { String(format: "%02x", $0) }.joined()
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}
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}
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public actor RDAIInMemoryIndexStore {
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private var resources: [RDAIDocumentIdentifier: [RDAIResourceDescriptor]] = [:]
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private var passages: [RDAIDocumentIdentifier: [RDAIPassage]] = [:]
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private var entities: [RDAIDocumentIdentifier: [RDAIEntityMention]] = [:]
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public init() {}
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public func replace(
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document: RDAIDocumentDescriptor,
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resource: RDAIResourceDescriptor,
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analysis: RDAIAnalysisResult
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) {
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var documentResources = resources[document.identifier] ?? []
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documentResources.removeAll { $0.identifier == resource.identifier }
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documentResources.append(resource)
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resources[document.identifier] = documentResources.sorted { $0.order < $1.order }
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var documentPassages = passages[document.identifier] ?? []
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documentPassages.removeAll { $0.resourceIdentifier == resource.identifier }
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documentPassages.append(contentsOf: analysis.passages)
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passages[document.identifier] = documentPassages
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var documentEntities = entities[document.identifier] ?? []
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documentEntities.removeAll { $0.locator.resourceIdentifier == resource.identifier }
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documentEntities.append(contentsOf: analysis.entityMentions)
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entities[document.identifier] = documentEntities
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}
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public func passages(for documentIdentifier: RDAIDocumentIdentifier) -> [RDAIPassage] {
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passages[documentIdentifier] ?? []
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}
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public func entities(for documentIdentifier: RDAIDocumentIdentifier) -> [RDAIEntityMention] {
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entities[documentIdentifier] ?? []
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}
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public func resourceOrder(
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for identifier: RDAIResourceIdentifier,
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documentIdentifier: RDAIDocumentIdentifier
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) -> Int? {
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resources[documentIdentifier]?.first { $0.identifier == identifier }?.order
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}
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public func remove(documentIdentifier: RDAIDocumentIdentifier) {
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resources.removeValue(forKey: documentIdentifier)
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passages.removeValue(forKey: documentIdentifier)
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entities.removeValue(forKey: documentIdentifier)
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}
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}
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/// First implementation of the local indexing pipeline. Storage is deliberately
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/// injectable so a SQLite-backed store can replace it without changing adapters.
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@MainActor
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public final class RDAIReaderService {
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public private(set) var state: RDAIIndexState = .notStarted {
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didSet { stateContinuations.values.forEach { $0.yield(state) } }
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}
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private let contentProvider: RDAIContentProvider
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private let analyzer: any RDAIAnalyzing
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private let store: RDAIInMemoryIndexStore
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private let persistentStore: RDAISQLiteIndexStore?
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private let generativeProvider: (any RDAIGenerativeProvider)?
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private let semanticScorer: (any RDAISemanticScoring)?
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private let configuration: RDAIReaderConfiguration
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private let diagnostics: (any RDAIDiagnosticsRecording)?
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private var stateContinuations: [UUID: AsyncStream<RDAIIndexState>.Continuation] = [:]
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private var pauseRequested = false
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private var resumeContinuation: CheckedContinuation<Void, Never>?
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public init(
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contentProvider: RDAIContentProvider,
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analyzer: some RDAIAnalyzing,
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semanticScorer: (any RDAISemanticScoring)? = nil,
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store: RDAIInMemoryIndexStore = .init(),
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persistentStore: RDAISQLiteIndexStore? = nil,
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generativeProvider: (any RDAIGenerativeProvider)? = nil,
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configuration: RDAIReaderConfiguration = .default,
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diagnostics: (any RDAIDiagnosticsRecording)? = nil
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) {
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self.contentProvider = contentProvider
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self.analyzer = analyzer
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self.semanticScorer = semanticScorer
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self.store = store
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self.persistentStore = persistentStore
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self.generativeProvider = generativeProvider
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self.configuration = configuration
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self.diagnostics = diagnostics
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}
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public func stateUpdates() -> AsyncStream<RDAIIndexState> {
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let identifier = UUID()
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return AsyncStream { [weak self] continuation in
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guard let self else {
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continuation.finish()
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return
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}
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continuation.yield(self.state)
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self.stateContinuations[identifier] = continuation
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continuation.onTermination = { [weak self] _ in
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Task { @MainActor in self?.stateContinuations.removeValue(forKey: identifier) }
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}
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}
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}
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public func prepareIndex(options: RDAIIndexOptions) async throws {
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guard configuration.isAIEnabled else { throw RDAIError.disabled }
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let startedAt = Date()
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let document = contentProvider.aiDocumentDescriptor()
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var resources = try await contentProvider.aiResources().sorted { $0.order < $1.order }
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resources = prioritized(resources, preferred: options.priorityResource)
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let scopedResources = try await resourcesAllowed(by: options.scope, document: document, resources: resources)
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state = .indexing(completedResources: 0, totalResources: scopedResources.count)
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do {
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for (index, resource) in scopedResources.enumerated() {
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try Task.checkCancellation()
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await waitIfPaused(completed: index, total: scopedResources.count)
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try Task.checkCancellation()
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let sourceSnapshot = try await contentProvider.aiResourceSnapshot(for: resource.identifier)
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let snapshot = limited(sourceSnapshot, by: options.scope)
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guard !snapshot.sourceText.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty else {
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state = .indexing(completedResources: index + 1, totalResources: scopedResources.count)
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continue
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}
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if let persistentStore,
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try await persistentStore.resourceHash(documentID: document.identifier, resourceID: resource.identifier) == snapshot.sourceHash {
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try await persistentStore.saveCheckpoint(documentID: document.identifier, resourceOrder: resource.order)
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state = .indexing(completedResources: index + 1, totalResources: scopedResources.count)
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continue
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}
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let analysis = await analyzer.analyze(document: document, snapshot: snapshot)
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if let persistentStore {
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try await persistentStore.replace(document: document, resource: resource, analysis: analysis, sourceHash: snapshot.sourceHash)
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try await persistentStore.saveCheckpoint(documentID: document.identifier, resourceOrder: resource.order)
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} else {
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await store.replace(document: document, resource: resource, analysis: analysis)
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}
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state = .indexing(completedResources: index + 1, totalResources: scopedResources.count)
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}
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state = .ready
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await record(stage: .indexing, startedAt: startedAt, count: scopedResources.count)
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} catch is CancellationError {
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state = .notStarted
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throw RDAIError.cancelled
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} catch let error as RDAIError {
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state = .failed(error)
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await record(stage: .indexing, startedAt: startedAt, errorCode: "rdai-error")
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throw error
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} catch {
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// Public errors must not expose paths, OCR text or SQLite details.
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let wrapped = RDAIError.indexingFailed("unexpected")
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state = .failed(wrapped)
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await record(stage: .indexing, startedAt: startedAt, errorCode: "indexing-failed")
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throw wrapped
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}
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}
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public func retrieve(query: String, options: RDAIRetrievalOptions) async -> [RDAIRetrievalMatch] {
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let document = contentProvider.aiDocumentDescriptor()
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let allPassages = await storedPassages(for: document.identifier)
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let filtered = await filter(allPassages, scope: options.scope, documentIdentifier: document.identifier)
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var matches: [RDAIRetrievalMatch] = []
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for passage in filtered {
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let score = lexicalScore(query: query, text: passage.text)
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let semantic = await semanticScorer?.score(query: query, text: passage.text, languageCode: passage.languageCode)
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let finalScore = semantic.map { 0.6 * score + 0.4 * $0 } ?? score
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guard finalScore >= options.minimumScore else { continue }
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matches.append(RDAIRetrievalMatch(passage: passage, score: finalScore, lexicalScore: score, semanticScore: semantic))
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}
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return matches.sorted {
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if $0.score == $1.score { return $0.passage.order < $1.passage.order }
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return $0.score > $1.score
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}
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.prefix(options.maximumResults)
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.map { $0 }
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}
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public func removeIndex() async {
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if let persistentStore { try? await persistentStore.remove(documentID: contentProvider.aiDocumentDescriptor().identifier) }
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else { await store.remove(documentIdentifier: contentProvider.aiDocumentDescriptor().identifier) }
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state = .notStarted
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}
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public func pauseIndexing() {
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pauseRequested = true
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}
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public func resumeIndexing() {
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pauseRequested = false
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resumeContinuation?.resume()
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resumeContinuation = nil
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}
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public func removeAllAIData() async {
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if let persistentStore { try? await persistentStore.removeAll() }
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else { await store.remove(documentIdentifier: contentProvider.aiDocumentDescriptor().identifier) }
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state = .notStarted
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}
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public func storageBytes() async -> Int64 {
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await persistentStore?.storageBytes() ?? 0
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}
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public func showCitation(_ citation: RDAICitation) async throws {
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try await contentProvider.aiShowCitationHighlight(citation)
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}
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public func clearCitationHighlight() {
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contentProvider.aiClearCitationHighlight()
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}
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public func availability(for capability: RDAICapability, locale: Locale = .current) async -> RDAICapabilityAvailability {
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guard configuration.isAIEnabled else { return .unavailable(reason: .providerNotInstalled) }
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switch capability {
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case .languageAnalysis, .entityExtraction, .lexicalSearch: return .available
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case .semanticSearch:
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return semanticScorer == nil ? .degraded(reason: .embeddingAssetsUnavailable) : .available
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case .summarization, .questionAnswering, .characterRelationships:
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guard let generativeProvider else { return .degraded(reason: .providerNotInstalled) }
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return await generativeProvider.availability(for: capability, locale: locale)
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}
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}
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public func summarize(scope: RDAIReadScope, length: RDAISummaryLength) async throws -> RDAISummary {
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guard configuration.isAIEnabled else { throw RDAIError.disabled }
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let document = contentProvider.aiDocumentDescriptor()
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let cacheKey = artifactKey(document: document, scope: scope, suffix: "summary|\(length.rawValue)")
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if configuration.storesGeneratedArtifacts,
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let persistentStore,
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let data = try? await persistentStore.artifact(documentID: document.identifier, key: cacheKey),
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let cached = try? JSONDecoder().decode(RDAISummary.self, from: data) { return cached }
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let passages = try await passages(for: scope, limit: length == .brief ? 2 : (length == .standard ? 4 : 6))
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let metadata = generationMetadata(provider: generativeProvider?.identifier ?? "extractive")
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if let generativeProvider,
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case .available = await generativeProvider.availability(for: .summarization, locale: .current),
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case let .summary(overview, statements) = try await generativeProvider.generate(.init(task: .summary(length), passages: passages, scope: scope)) {
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let validated = validatedStatements(statements, passages: passages)
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guard !validated.isEmpty else { throw RDAIError.insufficientEvidence }
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let result = RDAISummary(title: document.title, overview: overview, keyPoints: validated, citations: citations(for: passages), metadata: metadata)
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try? await saveArtifact(result, document: document, key: cacheKey)
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return result
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}
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let statements = passages.map { RDAISourcedStatement(text: $0.text, citationIdentifiers: [$0.id]) }
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let result = RDAISummary(title: document.title, overview: passages.first?.text ?? "暂无可总结的已读内容。", keyPoints: statements, citations: citations(for: passages), metadata: metadata)
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try? await saveArtifact(result, document: document, key: cacheKey)
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return result
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}
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public func answer(question: String, scope: RDAIReadScope) async throws -> RDAIAnswer {
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guard configuration.isAIEnabled else { throw RDAIError.disabled }
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let document = contentProvider.aiDocumentDescriptor()
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let cacheKey = artifactKey(document: document, scope: scope, suffix: "answer|\(RDAIContentHasher.hash(question))")
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if configuration.storesGeneratedArtifacts,
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let persistentStore,
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let data = try? await persistentStore.artifact(documentID: document.identifier, key: cacheKey),
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let cached = try? JSONDecoder().decode(RDAIAnswer.self, from: data) { return cached }
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let matches = await retrieve(query: question, options: .init(maximumResults: configuration.maximumRetrievedPassages, scope: scope))
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let passages = matches.map(\.passage)
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let metadata = generationMetadata(provider: generativeProvider?.identifier ?? "extractive")
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guard !passages.isEmpty else { return RDAIAnswer(status: .insufficientEvidence, text: "在当前阅读范围内未找到足够证据。", statements: [], citations: [], metadata: metadata) }
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if let generativeProvider,
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case .available = await generativeProvider.availability(for: .questionAnswering, locale: .current),
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case let .answer(text, statements) = try await generativeProvider.generate(.init(task: .answer, userText: question, passages: passages, scope: scope)) {
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let validated = validatedStatements(statements, passages: passages)
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guard !validated.isEmpty else { return RDAIAnswer(status: .insufficientEvidence, text: "模型结果缺少可验证的原文证据。", statements: [], citations: [], metadata: metadata) }
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let result = RDAIAnswer(status: .answered, text: text, statements: validated, citations: citations(for: passages), metadata: metadata)
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try? await saveArtifact(result, document: document, key: cacheKey)
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return result
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}
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let statements = passages.map { RDAISourcedStatement(text: $0.text, citationIdentifiers: [$0.id]) }
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let result = RDAIAnswer(status: .answered, text: "以下内容与问题最相关：", statements: statements, citations: citations(for: passages), metadata: metadata)
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try? await saveArtifact(result, document: document, key: cacheKey)
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return result
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}
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public func characters(scope: RDAIReadScope) async -> [RDAICharacter] {
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let document = contentProvider.aiDocumentDescriptor()
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let mentions = (await storedEntities(for: document.identifier)).filter { $0.kind == .person }
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let grouped = Dictionary(grouping: mentions, by: { canonicalCharacterName($0.normalizedName) })
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return grouped.compactMap { (name, values) -> RDAICharacter? in
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guard let first = values.first else { return nil }
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let evidence = values.prefix(3).map { mention in
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RDAICitation(passageIdentifier: mention.id, quote: mention.surfaceText, locator: mention.locator)
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}
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return RDAICharacter(id: RDAIContentHasher.hash(name), displayName: first.surfaceText, aliases: Array(Set(values.map(\.surfaceText))).sorted(), description: "在已读内容中出现 \(values.count) 次。", firstAppearance: evidence.first, evidence: evidence)
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}.sorted { $0.displayName < $1.displayName }
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}
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/// Conservative local relationship extraction: entities must co-occur in
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/// one allowed passage. It never promotes co-occurrence to a fact.
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public func relationships(scope: RDAIReadScope) async -> [RDAIRelationship] {
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let document = contentProvider.aiDocumentDescriptor()
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let passages = await filter(await storedPassages(for: document.identifier), scope: scope, documentIdentifier: document.identifier)
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let mentions = (await storedEntities(for: document.identifier)).filter { $0.kind == .person }
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var evidenceByPair: [String: [RDAICitation]] = [:]
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for passage in passages {
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let names = Array(Set(mentions.filter {
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$0.locator.resourceIdentifier == passage.resourceIdentifier && $0.locator.textRange.intersects(passage.locator.textRange)
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}.map { canonicalCharacterName($0.normalizedName) })).sorted()
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guard names.count > 1 else { continue }
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for left in names.indices {
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for right in names.indices where right > left {
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let key = "\(names[left])|\(names[right])"
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evidenceByPair[key, default: []].append(citation(for: passage))
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}
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}
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}
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return evidenceByPair.compactMap { key, evidence in
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let names = key.split(separator: "|", maxSplits: 1).map(String.init)
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guard names.count == 2, !evidence.isEmpty else { return nil }
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return RDAIRelationship(id: RDAIContentHasher.hash(key), sourceCharacterIdentifier: RDAIContentHasher.hash(names[0]), targetCharacterIdentifier: RDAIContentHasher.hash(names[1]), label: "共同出现", status: .possible, evidence: Array(evidence.prefix(3)))
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}.sorted { $0.id < $1.id }
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}
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private func passages(for scope: RDAIReadScope, limit: Int) async throws -> [RDAIPassage] {
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let document = contentProvider.aiDocumentDescriptor()
|
||||
let stored = await storedPassages(for: document.identifier)
|
||||
let all = await filter(stored, scope: scope, documentIdentifier: document.identifier)
|
||||
guard !all.isEmpty else { throw RDAIError.insufficientEvidence }
|
||||
return Array(all.sorted { $0.order < $1.order }.prefix(limit))
|
||||
}
|
||||
|
||||
private func citations(for passages: [RDAIPassage]) -> [RDAICitation] { passages.map(citation(for:)) }
|
||||
private func citation(for passage: RDAIPassage) -> RDAICitation { RDAICitation(passageIdentifier: passage.id, quote: passage.text, locator: passage.locator) }
|
||||
private func validatedStatements(_ statements: [RDAISourcedStatement], passages: [RDAIPassage]) -> [RDAISourcedStatement] {
|
||||
let identifiers = Set(passages.map(\.id))
|
||||
return statements.compactMap { statement in
|
||||
let citations = statement.citationIdentifiers.filter { identifiers.contains($0) }
|
||||
guard !citations.isEmpty, !statement.text.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty else { return nil }
|
||||
return RDAISourcedStatement(id: statement.id, text: statement.text, citationIdentifiers: citations)
|
||||
}
|
||||
}
|
||||
private func canonicalCharacterName(_ value: String) -> String {
|
||||
let compact = value.unicodeScalars.filter { CharacterSet.alphanumerics.contains($0) || (0x4E00...0x9FFF).contains($0.value) }
|
||||
var name = String(String.UnicodeScalarView(compact)).lowercased()
|
||||
// Only remove explicit honorific suffixes; ambiguous aliases remain
|
||||
// distinct so the UI does not silently merge two people.
|
||||
for suffix in ["先生", "女士", "小姐", "老师", "教授", "博士", "将军"] where name.hasSuffix(suffix) && name.count > suffix.count {
|
||||
name.removeLast(suffix.count)
|
||||
break
|
||||
}
|
||||
return name
|
||||
}
|
||||
private func generationMetadata(provider: String) -> RDAIGenerationMetadata { .init(providerIdentifier: provider, promptIdentifier: "rdai.evidence.v1", promptVersion: 1, scopeHash: RDAIContentHasher.hash(contentProvider.aiDocumentDescriptor().identifier.rawValue)) }
|
||||
private func artifactKey(document: RDAIDocumentDescriptor, scope: RDAIReadScope, suffix: String) -> String {
|
||||
let scopeData = (try? JSONEncoder().encode(scope)).map { String(data: $0, encoding: .utf8) } ?? ""
|
||||
return RDAIContentHasher.hash("\(document.contentRevision)|\(scopeData)|rdai.evidence.v1|\(generativeProvider?.identifier ?? "extractive")|\(suffix)")
|
||||
}
|
||||
private func saveArtifact<T: Encodable>(_ value: T, document: RDAIDocumentDescriptor, key: String) async throws {
|
||||
guard configuration.storesGeneratedArtifacts, let persistentStore else { return }
|
||||
try await persistentStore.saveArtifact(documentID: document.identifier, key: key, payload: JSONEncoder().encode(value))
|
||||
}
|
||||
private func record(stage: RDAIDiagnosticStage, startedAt: Date, errorCode: String? = nil, count: Int = 0) async {
|
||||
guard configuration.diagnosticsLevel != .disabled, let diagnostics else { return }
|
||||
await diagnostics.record(.init(documentHash: RDAIContentHasher.hash(contentProvider.aiDocumentDescriptor().identifier.rawValue), stage: stage, durationMilliseconds: Int(Date().timeIntervalSince(startedAt) * 1_000), errorCode: errorCode, count: count))
|
||||
}
|
||||
|
||||
private func prioritized(
|
||||
_ resources: [RDAIResourceDescriptor],
|
||||
preferred: RDAIResourceIdentifier?
|
||||
) -> [RDAIResourceDescriptor] {
|
||||
guard let preferred else { return resources }
|
||||
return resources.sorted { lhs, rhs in
|
||||
if lhs.identifier == preferred { return true }
|
||||
if rhs.identifier == preferred { return false }
|
||||
return lhs.order < rhs.order
|
||||
}
|
||||
}
|
||||
|
||||
private func waitIfPaused(completed: Int, total: Int) async {
|
||||
guard pauseRequested else { return }
|
||||
state = .paused(completedResources: completed, totalResources: total)
|
||||
await withTaskCancellationHandler(operation: {
|
||||
await withCheckedContinuation { continuation in
|
||||
resumeContinuation = continuation
|
||||
}
|
||||
}, onCancel: { [weak self] in
|
||||
Task { @MainActor in self?.resumeIndexing() }
|
||||
})
|
||||
state = .indexing(completedResources: completed, totalResources: total)
|
||||
}
|
||||
|
||||
private func resourcesAllowed(
|
||||
by scope: RDAIReadScope,
|
||||
document: RDAIDocumentDescriptor,
|
||||
resources: [RDAIResourceDescriptor]
|
||||
) async throws -> [RDAIResourceDescriptor] {
|
||||
guard !scope.includesWholeDocument else { return resources }
|
||||
guard let upperBound = scope.upperBound,
|
||||
upperBound.documentIdentifier == document.identifier,
|
||||
let boundary = resources.first(where: { $0.identifier == upperBound.resourceIdentifier }) else {
|
||||
return []
|
||||
}
|
||||
return resources.filter { $0.order <= boundary.order }
|
||||
}
|
||||
|
||||
private func limited(_ snapshot: RDAIResourceSnapshot, by scope: RDAIReadScope) -> RDAIResourceSnapshot {
|
||||
guard !scope.includesWholeDocument,
|
||||
let upperBound = scope.upperBound,
|
||||
upperBound.resourceIdentifier == snapshot.descriptor.identifier else {
|
||||
return snapshot
|
||||
}
|
||||
let length = min(max(upperBound.textRange.upperBound, 0), snapshot.sourceText.utf16.count)
|
||||
let source = (snapshot.sourceText as NSString).substring(to: length)
|
||||
let availableRange = RDAITextRange(location: 0, length: length)
|
||||
let runs = snapshot.locatorRuns.filter { $0.textRange.intersects(availableRange) }
|
||||
return RDAIResourceSnapshot(
|
||||
descriptor: snapshot.descriptor,
|
||||
sourceText: source,
|
||||
sourceHash: RDAIContentHasher.hash(source),
|
||||
locatorRuns: runs
|
||||
)
|
||||
}
|
||||
|
||||
private func filter(
|
||||
_ passages: [RDAIPassage],
|
||||
scope: RDAIReadScope,
|
||||
documentIdentifier: RDAIDocumentIdentifier
|
||||
) async -> [RDAIPassage] {
|
||||
guard !scope.includesWholeDocument else { return passages }
|
||||
guard let upperBound = scope.upperBound,
|
||||
upperBound.documentIdentifier == documentIdentifier,
|
||||
let boundaryOrder = await resourceOrder(for: upperBound.resourceIdentifier, documentIdentifier: documentIdentifier) else {
|
||||
return []
|
||||
}
|
||||
return await withTaskGroup(of: (RDAIPassage, Int?).self) { group in
|
||||
for passage in passages {
|
||||
group.addTask { [store] in
|
||||
let order = await self.resourceOrder(for: passage.resourceIdentifier, documentIdentifier: documentIdentifier)
|
||||
return (passage, order)
|
||||
}
|
||||
}
|
||||
var allowed: [RDAIPassage] = []
|
||||
for await (passage, order) in group {
|
||||
guard let order, order <= boundaryOrder else { continue }
|
||||
if passage.resourceIdentifier == upperBound.resourceIdentifier,
|
||||
passage.locator.textRange.location >= upperBound.textRange.upperBound {
|
||||
continue
|
||||
}
|
||||
allowed.append(passage)
|
||||
}
|
||||
return allowed
|
||||
}
|
||||
}
|
||||
|
||||
private func resourceOrder(for identifier: RDAIResourceIdentifier, documentIdentifier: RDAIDocumentIdentifier) async -> Int? {
|
||||
if let persistentStore { return try? await persistentStore.resourceOrder(documentID: documentIdentifier, resourceID: identifier) }
|
||||
return await store.resourceOrder(for: identifier, documentIdentifier: documentIdentifier)
|
||||
}
|
||||
|
||||
private func storedPassages(for identifier: RDAIDocumentIdentifier) async -> [RDAIPassage] {
|
||||
if let persistentStore { return (try? await persistentStore.passages(documentID: identifier)) ?? [] }
|
||||
return await store.passages(for: identifier)
|
||||
}
|
||||
|
||||
private func storedEntities(for identifier: RDAIDocumentIdentifier) async -> [RDAIEntityMention] {
|
||||
if let persistentStore { return (try? await persistentStore.entities(documentID: identifier)) ?? [] }
|
||||
return await store.entities(for: identifier)
|
||||
}
|
||||
|
||||
private func lexicalScore(query: String, text: String) -> Double {
|
||||
let trimmed = query.trimmingCharacters(in: .whitespacesAndNewlines)
|
||||
guard !trimmed.isEmpty else { return 0 }
|
||||
let normalizedText = text.folding(options: [.caseInsensitive, .diacriticInsensitive], locale: .current)
|
||||
let normalizedQuery = trimmed.folding(options: [.caseInsensitive, .diacriticInsensitive], locale: .current)
|
||||
if normalizedText.localizedCaseInsensitiveContains(normalizedQuery) { return 1 }
|
||||
let terms = normalizedQuery.split(whereSeparator: { $0.isWhitespace || $0.isNewline }).map(String.init)
|
||||
guard !terms.isEmpty else { return 0 }
|
||||
let matches = terms.filter { normalizedText.localizedCaseInsensitiveContains($0) }.count
|
||||
return Double(matches) / Double(terms.count)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,44 @@
|
||||
import Foundation
|
||||
|
||||
enum RDAILocatorBuilder {
|
||||
static func makeLocator(
|
||||
document: RDAIDocumentDescriptor,
|
||||
snapshot: RDAIResourceSnapshot,
|
||||
range: RDAITextRange
|
||||
) -> RDAILocator? {
|
||||
let matchingRuns = snapshot.locatorRuns.filter { $0.textRange.intersects(range) }
|
||||
guard let first = matchingRuns.first else { return nil }
|
||||
let anchor = mergedAnchor(matchingRuns) ?? first.anchor
|
||||
return RDAILocator(
|
||||
documentIdentifier: document.identifier,
|
||||
resourceIdentifier: snapshot.descriptor.identifier,
|
||||
textRange: range,
|
||||
anchor: anchor,
|
||||
sourceHash: snapshot.sourceHash
|
||||
)
|
||||
}
|
||||
|
||||
private static func mergedAnchor(_ runs: [RDAILocatorRun]) -> RDAIAnchor? {
|
||||
guard !runs.isEmpty else { return nil }
|
||||
let anchors = runs.compactMap { run -> RDAIPDFAnchor? in
|
||||
if case .pdf(let anchor) = run.anchor { return anchor }
|
||||
return nil
|
||||
}
|
||||
guard anchors.count == runs.count,
|
||||
let first = anchors.first,
|
||||
anchors.allSatisfy({ $0.pageIndex == first.pageIndex && $0.textSource == first.textSource }) else {
|
||||
return nil
|
||||
}
|
||||
var rects: [RDAINormalizedRect] = []
|
||||
for rect in anchors.flatMap(\.rects) where !rects.contains(rect) {
|
||||
rects.append(rect)
|
||||
}
|
||||
let readingOrder = anchors.compactMap(\.readingOrder).min()
|
||||
return .pdf(RDAIPDFAnchor(
|
||||
pageIndex: first.pageIndex,
|
||||
rects: rects,
|
||||
textSource: first.textSource,
|
||||
readingOrder: readingOrder
|
||||
))
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,448 @@
|
||||
import Foundation
|
||||
|
||||
public struct RDAIDocumentIdentifier: RawRepresentable, Codable, Hashable, Sendable {
|
||||
public let rawValue: String
|
||||
|
||||
public init(rawValue: String) {
|
||||
self.rawValue = rawValue
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIResourceIdentifier: RawRepresentable, Codable, Hashable, Sendable {
|
||||
public let rawValue: String
|
||||
|
||||
public init(rawValue: String) {
|
||||
self.rawValue = rawValue
|
||||
}
|
||||
}
|
||||
|
||||
/// UTF-16 offsets are shared by PDF text runs, EPUB search and speech progress.
|
||||
public struct RDAITextRange: Codable, Hashable, Sendable {
|
||||
public var location: Int
|
||||
public var length: Int
|
||||
|
||||
public init(location: Int, length: Int) {
|
||||
self.location = max(0, location)
|
||||
self.length = max(0, length)
|
||||
}
|
||||
|
||||
public var upperBound: Int { location + length }
|
||||
|
||||
public func intersects(_ other: RDAITextRange) -> Bool {
|
||||
location < other.upperBound && other.location < upperBound
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAINormalizedRect: Codable, Hashable, Sendable {
|
||||
public var x: Double
|
||||
public var y: Double
|
||||
public var width: Double
|
||||
public var height: Double
|
||||
|
||||
public init(x: Double, y: Double, width: Double, height: Double) {
|
||||
self.x = min(max(x, 0), 1)
|
||||
self.y = min(max(y, 0), 1)
|
||||
self.width = min(max(width, 0), 1)
|
||||
self.height = min(max(height, 0), 1)
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIPDFAnchor: Codable, Hashable, Sendable {
|
||||
public enum TextSource: String, Codable, Sendable {
|
||||
case native
|
||||
case ocr
|
||||
}
|
||||
|
||||
public var pageIndex: Int
|
||||
public var rects: [RDAINormalizedRect]
|
||||
public var textSource: TextSource
|
||||
public var readingOrder: Int?
|
||||
|
||||
public init(pageIndex: Int, rects: [RDAINormalizedRect], textSource: TextSource, readingOrder: Int? = nil) {
|
||||
self.pageIndex = max(0, pageIndex)
|
||||
self.rects = rects
|
||||
self.textSource = textSource
|
||||
self.readingOrder = readingOrder
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIEPUBAnchor: Codable, Hashable, Sendable {
|
||||
public var href: String
|
||||
public var cfi: String?
|
||||
public var rangeCFI: String?
|
||||
public var progression: Double?
|
||||
|
||||
public init(href: String, cfi: String? = nil, rangeCFI: String? = nil, progression: Double? = nil) {
|
||||
self.href = href
|
||||
self.cfi = cfi
|
||||
self.rangeCFI = rangeCFI
|
||||
self.progression = progression.map { min(max($0, 0), 1) }
|
||||
}
|
||||
}
|
||||
|
||||
public enum RDAIAnchor: Hashable, Sendable {
|
||||
case pdf(RDAIPDFAnchor)
|
||||
case epub(RDAIEPUBAnchor)
|
||||
}
|
||||
|
||||
extension RDAIAnchor: Codable {
|
||||
private enum CodingKeys: String, CodingKey { case type, pdf, epub }
|
||||
private enum Kind: String, Codable { case pdf, epub }
|
||||
|
||||
public init(from decoder: Decoder) throws {
|
||||
let container = try decoder.container(keyedBy: CodingKeys.self)
|
||||
switch try container.decode(Kind.self, forKey: .type) {
|
||||
case .pdf:
|
||||
self = .pdf(try container.decode(RDAIPDFAnchor.self, forKey: .pdf))
|
||||
case .epub:
|
||||
self = .epub(try container.decode(RDAIEPUBAnchor.self, forKey: .epub))
|
||||
}
|
||||
}
|
||||
|
||||
public func encode(to encoder: Encoder) throws {
|
||||
var container = encoder.container(keyedBy: CodingKeys.self)
|
||||
switch self {
|
||||
case .pdf(let anchor):
|
||||
try container.encode(Kind.pdf, forKey: .type)
|
||||
try container.encode(anchor, forKey: .pdf)
|
||||
case .epub(let anchor):
|
||||
try container.encode(Kind.epub, forKey: .type)
|
||||
try container.encode(anchor, forKey: .epub)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAILocator: Codable, Hashable, Sendable {
|
||||
public var documentIdentifier: RDAIDocumentIdentifier
|
||||
public var resourceIdentifier: RDAIResourceIdentifier
|
||||
public var textRange: RDAITextRange
|
||||
public var anchor: RDAIAnchor
|
||||
public var sourceHash: String
|
||||
|
||||
public init(
|
||||
documentIdentifier: RDAIDocumentIdentifier,
|
||||
resourceIdentifier: RDAIResourceIdentifier,
|
||||
textRange: RDAITextRange,
|
||||
anchor: RDAIAnchor,
|
||||
sourceHash: String
|
||||
) {
|
||||
self.documentIdentifier = documentIdentifier
|
||||
self.resourceIdentifier = resourceIdentifier
|
||||
self.textRange = textRange
|
||||
self.anchor = anchor
|
||||
self.sourceHash = sourceHash
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAICitation: Codable, Hashable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let passageIdentifier: String
|
||||
public let quote: String
|
||||
public let locator: RDAILocator
|
||||
|
||||
public init(id: String = UUID().uuidString, passageIdentifier: String, quote: String, locator: RDAILocator) {
|
||||
self.id = id
|
||||
self.passageIdentifier = passageIdentifier
|
||||
self.quote = quote
|
||||
self.locator = locator
|
||||
}
|
||||
}
|
||||
|
||||
public enum RDAIDocumentFormat: String, Codable, Sendable {
|
||||
case pdf
|
||||
case epub
|
||||
}
|
||||
|
||||
public struct RDAIDocumentDescriptor: Codable, Equatable, Sendable {
|
||||
public let identifier: RDAIDocumentIdentifier
|
||||
public let title: String
|
||||
public let format: RDAIDocumentFormat
|
||||
public let contentRevision: String
|
||||
|
||||
public init(identifier: RDAIDocumentIdentifier, title: String, format: RDAIDocumentFormat, contentRevision: String) {
|
||||
self.identifier = identifier
|
||||
self.title = title
|
||||
self.format = format
|
||||
self.contentRevision = contentRevision
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIResourceDescriptor: Codable, Equatable, Sendable {
|
||||
public let identifier: RDAIResourceIdentifier
|
||||
public let title: String?
|
||||
public let order: Int
|
||||
public let estimatedUTF16Length: Int?
|
||||
|
||||
public init(identifier: RDAIResourceIdentifier, title: String? = nil, order: Int, estimatedUTF16Length: Int? = nil) {
|
||||
self.identifier = identifier
|
||||
self.title = title
|
||||
self.order = max(0, order)
|
||||
self.estimatedUTF16Length = estimatedUTF16Length
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAILocatorRun: Sendable {
|
||||
public let textRange: RDAITextRange
|
||||
public let anchor: RDAIAnchor
|
||||
|
||||
public init(textRange: RDAITextRange, anchor: RDAIAnchor) {
|
||||
self.textRange = textRange
|
||||
self.anchor = anchor
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIResourceSnapshot: Sendable {
|
||||
public let descriptor: RDAIResourceDescriptor
|
||||
public let sourceText: String
|
||||
public let sourceHash: String
|
||||
public let locatorRuns: [RDAILocatorRun]
|
||||
|
||||
public init(descriptor: RDAIResourceDescriptor, sourceText: String, sourceHash: String, locatorRuns: [RDAILocatorRun]) {
|
||||
self.descriptor = descriptor
|
||||
self.sourceText = sourceText
|
||||
self.sourceHash = sourceHash
|
||||
self.locatorRuns = locatorRuns
|
||||
}
|
||||
}
|
||||
|
||||
@MainActor
|
||||
public protocol RDAIContentProvider: AnyObject {
|
||||
func aiDocumentDescriptor() -> RDAIDocumentDescriptor
|
||||
func aiResources() async throws -> [RDAIResourceDescriptor]
|
||||
func aiResourceSnapshot(for identifier: RDAIResourceIdentifier) async throws -> RDAIResourceSnapshot
|
||||
func aiNavigate(to locator: RDAILocator, animated: Bool) async throws
|
||||
func aiShowCitationHighlight(_ citation: RDAICitation) async throws
|
||||
func aiClearCitationHighlight()
|
||||
}
|
||||
|
||||
public struct RDAIReadScope: Codable, Equatable, Sendable {
|
||||
public let upperBound: RDAILocator?
|
||||
public let includesWholeDocument: Bool
|
||||
|
||||
public init(upperBound: RDAILocator? = nil, includesWholeDocument: Bool = false) {
|
||||
self.upperBound = upperBound
|
||||
self.includesWholeDocument = includesWholeDocument
|
||||
}
|
||||
|
||||
public static let wholeDocument = RDAIReadScope(includesWholeDocument: true)
|
||||
}
|
||||
|
||||
@MainActor
|
||||
public protocol RDAIReadScopeProviding: AnyObject {
|
||||
func aiCurrentReadScope() -> RDAIReadScope
|
||||
}
|
||||
|
||||
public enum RDAIPassageKind: String, Codable, Sendable {
|
||||
case paragraph
|
||||
case unknown
|
||||
}
|
||||
|
||||
public struct RDAIPassage: Codable, Equatable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let documentIdentifier: RDAIDocumentIdentifier
|
||||
public let resourceIdentifier: RDAIResourceIdentifier
|
||||
public let text: String
|
||||
public let languageCode: String?
|
||||
public let kind: RDAIPassageKind
|
||||
public let locator: RDAILocator
|
||||
public let contentHash: String
|
||||
public let order: Int
|
||||
|
||||
public init(
|
||||
id: String,
|
||||
documentIdentifier: RDAIDocumentIdentifier,
|
||||
resourceIdentifier: RDAIResourceIdentifier,
|
||||
text: String,
|
||||
languageCode: String?,
|
||||
kind: RDAIPassageKind = .paragraph,
|
||||
locator: RDAILocator,
|
||||
contentHash: String,
|
||||
order: Int
|
||||
) {
|
||||
self.id = id
|
||||
self.documentIdentifier = documentIdentifier
|
||||
self.resourceIdentifier = resourceIdentifier
|
||||
self.text = text
|
||||
self.languageCode = languageCode
|
||||
self.kind = kind
|
||||
self.locator = locator
|
||||
self.contentHash = contentHash
|
||||
self.order = order
|
||||
}
|
||||
}
|
||||
|
||||
public enum RDAIEntityKind: String, Codable, Sendable {
|
||||
case person
|
||||
case place
|
||||
case organization
|
||||
case other
|
||||
}
|
||||
|
||||
public struct RDAIEntityMention: Codable, Equatable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let normalizedName: String
|
||||
public let surfaceText: String
|
||||
public let kind: RDAIEntityKind
|
||||
public let confidence: Double
|
||||
public let locator: RDAILocator
|
||||
|
||||
public init(id: String, normalizedName: String, surfaceText: String, kind: RDAIEntityKind, confidence: Double, locator: RDAILocator) {
|
||||
self.id = id
|
||||
self.normalizedName = normalizedName
|
||||
self.surfaceText = surfaceText
|
||||
self.kind = kind
|
||||
self.confidence = min(max(confidence, 0), 1)
|
||||
self.locator = locator
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAIAnalysisResult: Sendable {
|
||||
public let passages: [RDAIPassage]
|
||||
public let entityMentions: [RDAIEntityMention]
|
||||
|
||||
public init(passages: [RDAIPassage], entityMentions: [RDAIEntityMention]) {
|
||||
self.passages = passages
|
||||
self.entityMentions = entityMentions
|
||||
}
|
||||
}
|
||||
|
||||
public protocol RDAIAnalyzing: Sendable {
|
||||
func analyze(document: RDAIDocumentDescriptor, snapshot: RDAIResourceSnapshot) async -> RDAIAnalysisResult
|
||||
}
|
||||
|
||||
public protocol RDAISemanticScoring: Sendable {
|
||||
func score(query: String, text: String, languageCode: String?) async -> Double?
|
||||
}
|
||||
|
||||
public enum RDAIError: Error, Equatable, Sendable {
|
||||
case disabled
|
||||
case invalidDocument
|
||||
case resourceUnavailable(RDAIResourceIdentifier)
|
||||
case staleCitation
|
||||
case indexingFailed(String)
|
||||
case modelUnavailable(RDAIUnavailableReason)
|
||||
case insufficientEvidence
|
||||
case storageFailure(String)
|
||||
case cancelled
|
||||
}
|
||||
|
||||
public enum RDAICapability: String, Codable, Sendable {
|
||||
case languageAnalysis, entityExtraction, lexicalSearch, semanticSearch
|
||||
case summarization, questionAnswering, characterRelationships
|
||||
}
|
||||
|
||||
public enum RDAIUnavailableReason: Equatable, Sendable {
|
||||
case operatingSystemUnsupported, deviceNotEligible, appleIntelligenceNotEnabled
|
||||
case modelNotReady, languageUnsupported(String?), embeddingAssetsUnavailable
|
||||
case providerNotInstalled, unknown(String)
|
||||
}
|
||||
|
||||
public enum RDAICapabilityAvailability: Equatable, Sendable {
|
||||
case available
|
||||
case degraded(reason: RDAIUnavailableReason)
|
||||
case unavailable(reason: RDAIUnavailableReason)
|
||||
}
|
||||
|
||||
public protocol RDAICapabilityProviding: Sendable {
|
||||
func availability(for capability: RDAICapability, locale: Locale?) async -> RDAICapabilityAvailability
|
||||
}
|
||||
|
||||
public enum RDAISummaryLength: String, Codable, Sendable { case brief, standard, detailed }
|
||||
public enum RDAIAnswerStatus: String, Codable, Sendable { case answered, insufficientEvidence, unsupportedLanguage, unavailable }
|
||||
public enum RDAIRelationshipStatus: String, Codable, Sendable { case confirmed, possible, conflicting }
|
||||
|
||||
public struct RDAIGenerationMetadata: Codable, Sendable {
|
||||
public let providerIdentifier: String
|
||||
public let modelVersion: String?
|
||||
public let promptIdentifier: String
|
||||
public let promptVersion: Int
|
||||
public let generatedAt: Date
|
||||
public let scopeHash: String
|
||||
|
||||
public init(providerIdentifier: String, modelVersion: String? = nil, promptIdentifier: String, promptVersion: Int, generatedAt: Date = .init(), scopeHash: String) {
|
||||
self.providerIdentifier = providerIdentifier
|
||||
self.modelVersion = modelVersion
|
||||
self.promptIdentifier = promptIdentifier
|
||||
self.promptVersion = promptVersion
|
||||
self.generatedAt = generatedAt
|
||||
self.scopeHash = scopeHash
|
||||
}
|
||||
}
|
||||
|
||||
public struct RDAISourcedStatement: Codable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let text: String
|
||||
public let citationIdentifiers: [String]
|
||||
public init(id: String = UUID().uuidString, text: String, citationIdentifiers: [String]) { self.id = id; self.text = text; self.citationIdentifiers = citationIdentifiers }
|
||||
}
|
||||
|
||||
public struct RDAISummary: Codable, Sendable {
|
||||
public let title: String
|
||||
public let overview: String
|
||||
public let keyPoints: [RDAISourcedStatement]
|
||||
public let citations: [RDAICitation]
|
||||
public let metadata: RDAIGenerationMetadata
|
||||
}
|
||||
|
||||
public struct RDAIAnswer: Codable, Sendable {
|
||||
public let status: RDAIAnswerStatus
|
||||
public let text: String
|
||||
public let statements: [RDAISourcedStatement]
|
||||
public let citations: [RDAICitation]
|
||||
public let metadata: RDAIGenerationMetadata
|
||||
}
|
||||
|
||||
public struct RDAICharacter: Codable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let displayName: String
|
||||
public let aliases: [String]
|
||||
public let description: String
|
||||
public let firstAppearance: RDAICitation?
|
||||
public let evidence: [RDAICitation]
|
||||
}
|
||||
|
||||
public struct RDAIRelationship: Codable, Sendable, Identifiable {
|
||||
public let id: String
|
||||
public let sourceCharacterIdentifier: String
|
||||
public let targetCharacterIdentifier: String
|
||||
public let label: String
|
||||
public let status: RDAIRelationshipStatus
|
||||
public let evidence: [RDAICitation]
|
||||
}
|
||||
|
||||
public enum RDAIGenerationTask: Sendable { case summary(RDAISummaryLength), answer, characters, relationships }
|
||||
|
||||
public struct RDAIGenerationRequest: Sendable {
|
||||
public let task: RDAIGenerationTask
|
||||
public let userText: String?
|
||||
public let passages: [RDAIPassage]
|
||||
public let locale: Locale
|
||||
public let scope: RDAIReadScope
|
||||
public init(task: RDAIGenerationTask, userText: String? = nil, passages: [RDAIPassage], locale: Locale = .current, scope: RDAIReadScope) { self.task = task; self.userText = userText; self.passages = passages; self.locale = locale; self.scope = scope }
|
||||
}
|
||||
|
||||
public enum RDAIGeneratedArtifact: Sendable {
|
||||
case summary(overview: String, statements: [RDAISourcedStatement])
|
||||
case answer(text: String, statements: [RDAISourcedStatement])
|
||||
case characters([RDAICharacter])
|
||||
case relationships([RDAIRelationship])
|
||||
}
|
||||
|
||||
public protocol RDAIGenerativeProvider: RDAICapabilityProviding {
|
||||
var identifier: String { get }
|
||||
func generate(_ request: RDAIGenerationRequest) async throws -> RDAIGeneratedArtifact
|
||||
}
|
||||
|
||||
public enum RDAISpoilerPolicy: String, Codable, Sendable { case readContentOnly, wholeDocument }
|
||||
public enum RDAIDiagnosticsLevel: String, Codable, Sendable { case disabled, metadataOnly }
|
||||
|
||||
public struct RDAIReaderConfiguration: Sendable {
|
||||
public var isAIEnabled: Bool
|
||||
public var isLocalOnly: Bool
|
||||
public var spoilerPolicy: RDAISpoilerPolicy
|
||||
public var maximumRetrievedPassages: Int
|
||||
public var storesGeneratedArtifacts: Bool
|
||||
public var diagnosticsLevel: RDAIDiagnosticsLevel
|
||||
public init(isAIEnabled: Bool = true, isLocalOnly: Bool = true, spoilerPolicy: RDAISpoilerPolicy = .readContentOnly, maximumRetrievedPassages: Int = 4, storesGeneratedArtifacts: Bool = true, diagnosticsLevel: RDAIDiagnosticsLevel = .metadataOnly) { self.isAIEnabled = isAIEnabled; self.isLocalOnly = isLocalOnly; self.spoilerPolicy = spoilerPolicy; self.maximumRetrievedPassages = max(1, maximumRetrievedPassages); self.storesGeneratedArtifacts = storesGeneratedArtifacts; self.diagnosticsLevel = diagnosticsLevel }
|
||||
public static let `default` = RDAIReaderConfiguration()
|
||||
}
|
||||
@@ -0,0 +1,125 @@
|
||||
import Foundation
|
||||
import SQLite3
|
||||
|
||||
private let rdaiSQLiteTransient = unsafeBitCast(-1, to: sqlite3_destructor_type.self)
|
||||
|
||||
/// Durable local store. Each resource replacement is atomic, so interrupted
|
||||
/// indexing can safely resume from the first resource without a checkpoint.
|
||||
public actor RDAISQLiteIndexStore {
|
||||
private var database: OpaquePointer?
|
||||
private let encoder = JSONEncoder()
|
||||
private let decoder = JSONDecoder()
|
||||
|
||||
public init(directory: URL? = nil) throws {
|
||||
let base = directory ?? FileManager.default.urls(for: .applicationSupportDirectory, in: .userDomainMask).first!
|
||||
try FileManager.default.createDirectory(at: base, withIntermediateDirectories: true)
|
||||
let url = base.appendingPathComponent("RDAIReaderView.sqlite")
|
||||
guard sqlite3_open_v2(url.path, &database, SQLITE_OPEN_CREATE | SQLITE_OPEN_READWRITE | SQLITE_OPEN_FULLMUTEX, nil) == SQLITE_OK else {
|
||||
throw RDAIError.storageFailure("open")
|
||||
}
|
||||
try Self.configure(database: database)
|
||||
}
|
||||
|
||||
deinit { sqlite3_close(database) }
|
||||
|
||||
public func replace(document: RDAIDocumentDescriptor, resource: RDAIResourceDescriptor, analysis: RDAIAnalysisResult, sourceHash: String) throws {
|
||||
try transaction {
|
||||
try execute("INSERT INTO documents(id,title,format,revision) VALUES(?,?,?,?) ON CONFLICT(id) DO UPDATE SET title=excluded.title,format=excluded.format,revision=excluded.revision", [document.identifier.rawValue, document.title, document.format.rawValue, document.contentRevision])
|
||||
try execute("DELETE FROM resources WHERE document_id=? AND resource_id=?", [document.identifier.rawValue, resource.identifier.rawValue])
|
||||
try execute("INSERT INTO resources(document_id,resource_id,source_hash,payload) VALUES(?,?,?,?)", [document.identifier.rawValue, resource.identifier.rawValue, sourceHash, try json(resource)])
|
||||
try execute("DELETE FROM passages WHERE document_id=? AND resource_id=?", [document.identifier.rawValue, resource.identifier.rawValue])
|
||||
try execute("DELETE FROM passage_fts WHERE document_id=? AND resource_id=?", [document.identifier.rawValue, resource.identifier.rawValue])
|
||||
try execute("DELETE FROM entity_mentions WHERE document_id=? AND resource_id=?", [document.identifier.rawValue, resource.identifier.rawValue])
|
||||
for passage in analysis.passages {
|
||||
try execute("INSERT INTO passages(id,document_id,resource_id,content_hash,payload) VALUES(?,?,?,?,?)", [passage.id, document.identifier.rawValue, resource.identifier.rawValue, passage.contentHash, try json(passage)])
|
||||
try execute("INSERT INTO passage_fts(id,document_id,resource_id,text) VALUES(?,?,?,?)", [passage.id, document.identifier.rawValue, resource.identifier.rawValue, passage.text])
|
||||
}
|
||||
for mention in analysis.entityMentions {
|
||||
try execute("INSERT INTO entity_mentions(id,document_id,resource_id,normalized_name,payload) VALUES(?,?,?,?,?)", [mention.id, document.identifier.rawValue, resource.identifier.rawValue, mention.normalizedName, try json(mention)])
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
public func resourceHash(documentID: RDAIDocumentIdentifier, resourceID: RDAIResourceIdentifier) throws -> String? {
|
||||
try query("SELECT source_hash FROM resources WHERE document_id=? AND resource_id=?", [documentID.rawValue, resourceID.rawValue]).first
|
||||
}
|
||||
|
||||
public func passages(documentID: RDAIDocumentIdentifier) throws -> [RDAIPassage] {
|
||||
try query("SELECT payload FROM passages WHERE document_id=? ORDER BY rowid", [documentID.rawValue]).compactMap { try? decode(RDAIPassage.self, $0) }
|
||||
}
|
||||
|
||||
public func entities(documentID: RDAIDocumentIdentifier) throws -> [RDAIEntityMention] {
|
||||
try query("SELECT payload FROM entity_mentions WHERE document_id=? ORDER BY rowid", [documentID.rawValue]).compactMap { try? decode(RDAIEntityMention.self, $0) }
|
||||
}
|
||||
|
||||
public func resourceOrder(documentID: RDAIDocumentIdentifier, resourceID: RDAIResourceIdentifier) throws -> Int? {
|
||||
guard let payload = try query("SELECT payload FROM resources WHERE document_id=? AND resource_id=?", [documentID.rawValue, resourceID.rawValue]).first,
|
||||
let resource = try? decode(RDAIResourceDescriptor.self, payload) else { return nil }
|
||||
return resource.order
|
||||
}
|
||||
|
||||
public func remove(documentID: RDAIDocumentIdentifier) throws {
|
||||
try transaction {
|
||||
try execute("DELETE FROM passage_fts WHERE document_id=?", [documentID.rawValue])
|
||||
try execute("DELETE FROM documents WHERE id=?", [documentID.rawValue])
|
||||
}
|
||||
}
|
||||
public func removeAll() throws {
|
||||
try transaction {
|
||||
try execute("DELETE FROM documents")
|
||||
try execute("DELETE FROM passage_fts")
|
||||
}
|
||||
}
|
||||
|
||||
public func saveCheckpoint(documentID: RDAIDocumentIdentifier, resourceOrder: Int) throws {
|
||||
try execute("INSERT INTO index_jobs(document_id,completed_order,updated_at) VALUES(?,?,?) ON CONFLICT(document_id) DO UPDATE SET completed_order=excluded.completed_order,updated_at=excluded.updated_at", [documentID.rawValue, String(resourceOrder), String(Date().timeIntervalSince1970)])
|
||||
}
|
||||
|
||||
public func checkpoint(documentID: RDAIDocumentIdentifier) throws -> Int? {
|
||||
try query("SELECT completed_order FROM index_jobs WHERE document_id=?", [documentID.rawValue]).first.flatMap(Int.init)
|
||||
}
|
||||
|
||||
public func saveArtifact(documentID: RDAIDocumentIdentifier, key: String, payload: Data) throws {
|
||||
try execute("INSERT INTO artifacts(document_id,cache_key,payload,created_at) VALUES(?,?,?,?) ON CONFLICT(document_id,cache_key) DO UPDATE SET payload=excluded.payload,created_at=excluded.created_at", [documentID.rawValue, key, payload, String(Date().timeIntervalSince1970)])
|
||||
}
|
||||
|
||||
public func artifact(documentID: RDAIDocumentIdentifier, key: String) throws -> Data? {
|
||||
try queryData("SELECT payload FROM artifacts WHERE document_id=? AND cache_key=?", [documentID.rawValue, key]).first
|
||||
}
|
||||
|
||||
public func storageBytes() -> Int64 {
|
||||
guard let database,
|
||||
let path = sqlite3_db_filename(database, "main"),
|
||||
let attributes = try? FileManager.default.attributesOfItem(atPath: String(cString: path)),
|
||||
let size = attributes[.size] as? NSNumber else { return 0 }
|
||||
return size.int64Value
|
||||
}
|
||||
|
||||
private static func configure(database: OpaquePointer?) throws {
|
||||
try executeScript(database: database, sql: """
|
||||
CREATE TABLE IF NOT EXISTS schema_metadata(version INTEGER NOT NULL);
|
||||
INSERT INTO schema_metadata(version) SELECT 1 WHERE NOT EXISTS(SELECT 1 FROM schema_metadata);
|
||||
CREATE TABLE IF NOT EXISTS documents(id TEXT PRIMARY KEY,title TEXT NOT NULL,format TEXT NOT NULL,revision TEXT NOT NULL);
|
||||
CREATE TABLE IF NOT EXISTS resources(document_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,resource_id TEXT NOT NULL,source_hash TEXT NOT NULL,payload BLOB NOT NULL,PRIMARY KEY(document_id,resource_id));
|
||||
CREATE TABLE IF NOT EXISTS passages(id TEXT PRIMARY KEY,document_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,resource_id TEXT NOT NULL,content_hash TEXT NOT NULL,payload BLOB NOT NULL);
|
||||
CREATE VIRTUAL TABLE IF NOT EXISTS passage_fts USING fts5(id UNINDEXED,document_id UNINDEXED,resource_id UNINDEXED,text);
|
||||
CREATE TABLE IF NOT EXISTS entity_mentions(id TEXT PRIMARY KEY,document_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,resource_id TEXT NOT NULL,normalized_name TEXT NOT NULL,payload BLOB NOT NULL);
|
||||
CREATE TABLE IF NOT EXISTS index_jobs(document_id TEXT PRIMARY KEY REFERENCES documents(id) ON DELETE CASCADE,completed_order INTEGER NOT NULL,updated_at REAL NOT NULL);
|
||||
CREATE TABLE IF NOT EXISTS artifacts(document_id TEXT NOT NULL REFERENCES documents(id) ON DELETE CASCADE,cache_key TEXT NOT NULL,payload BLOB NOT NULL,created_at REAL NOT NULL,PRIMARY KEY(document_id,cache_key));
|
||||
""")
|
||||
}
|
||||
|
||||
private func transaction(_ body: () throws -> Void) throws { try execute("BEGIN IMMEDIATE"); do { try body(); try execute("COMMIT") } catch { try? execute("ROLLBACK"); throw error } }
|
||||
private static func executeScript(database: OpaquePointer?, sql: String) throws {
|
||||
var errorMessage: UnsafeMutablePointer<Int8>?
|
||||
guard sqlite3_exec(database, sql, nil, nil, &errorMessage) == SQLITE_OK else {
|
||||
defer { sqlite3_free(errorMessage) }
|
||||
throw RDAIError.storageFailure("migration")
|
||||
}
|
||||
}
|
||||
private func json<T: Encodable>(_ value: T) throws -> Data { try encoder.encode(value) }
|
||||
private func decode<T: Decodable>(_ type: T.Type, _ value: String) throws -> T { try decoder.decode(T.self, from: Data(value.utf8)) }
|
||||
private func queryData(_ sql: String, _ bindings: [String]) throws -> [Data] { var statement: OpaquePointer?; guard sqlite3_prepare_v2(database, sql, -1, &statement, nil) == SQLITE_OK else { throw RDAIError.storageFailure("prepare") }; defer { sqlite3_finalize(statement) }; for (index, value) in bindings.enumerated() { sqlite3_bind_text(statement, Int32(index + 1), value, -1, rdaiSQLiteTransient) }; var rows: [Data] = []; while sqlite3_step(statement) == SQLITE_ROW { let count = sqlite3_column_bytes(statement, 0); if let value = sqlite3_column_blob(statement, 0), count > 0 { rows.append(Data(bytes: value, count: Int(count))) } }; return rows }
|
||||
private func query(_ sql: String, _ bindings: [String]) throws -> [String] { var statement: OpaquePointer?; guard sqlite3_prepare_v2(database, sql, -1, &statement, nil) == SQLITE_OK else { throw RDAIError.storageFailure("prepare") }; defer { sqlite3_finalize(statement) }; for (index, value) in bindings.enumerated() { sqlite3_bind_text(statement, Int32(index + 1), value, -1, rdaiSQLiteTransient) }; var rows: [String] = []; while sqlite3_step(statement) == SQLITE_ROW { if let value = sqlite3_column_text(statement, 0) { rows.append(String(cString: value)) } }; return rows }
|
||||
private func execute(_ sql: String, _ bindings: [Any] = []) throws { var statement: OpaquePointer?; guard sqlite3_prepare_v2(database, sql, -1, &statement, nil) == SQLITE_OK else { throw RDAIError.storageFailure("prepare") }; defer { sqlite3_finalize(statement) }; for (index, value) in bindings.enumerated() { if let text = value as? String { sqlite3_bind_text(statement, Int32(index + 1), text, -1, rdaiSQLiteTransient) } else if let data = value as? Data { _ = data.withUnsafeBytes { sqlite3_bind_blob(statement, Int32(index + 1), $0.baseAddress, Int32(data.count), rdaiSQLiteTransient) } } }; guard sqlite3_step(statement) == SQLITE_DONE else { throw RDAIError.storageFailure("execute") } }
|
||||
}
|
||||
@@ -0,0 +1,77 @@
|
||||
import Foundation
|
||||
import FoundationModels
|
||||
|
||||
@available(iOS 26.0, *)
|
||||
@Generable(description: "A factual statement grounded in one or more supplied passage identifiers.")
|
||||
private struct RDAIModelStatement {
|
||||
var text: String
|
||||
var passageIDs: [String]
|
||||
}
|
||||
|
||||
@available(iOS 26.0, *)
|
||||
@Generable(description: "A citation-grounded book summary.")
|
||||
private struct RDAIModelSummary {
|
||||
var overview: String
|
||||
var statements: [RDAIModelStatement]
|
||||
}
|
||||
|
||||
@available(iOS 26.0, *)
|
||||
@Generable(description: "A citation-grounded answer to a question about supplied passages.")
|
||||
private struct RDAIModelAnswer {
|
||||
var answer: String
|
||||
var statements: [RDAIModelStatement]
|
||||
}
|
||||
|
||||
/// Optional on-device provider. The Core service remains fully functional on
|
||||
/// older systems by falling back to evidence-only retrieval.
|
||||
@available(iOS 26.0, *)
|
||||
public actor RDAIAppleFoundationModelsProvider: RDAIGenerativeProvider {
|
||||
public let identifier = "apple.foundation-models"
|
||||
|
||||
public init() {}
|
||||
|
||||
public func availability(for capability: RDAICapability, locale: Locale?) async -> RDAICapabilityAvailability {
|
||||
switch SystemLanguageModel.default.availability {
|
||||
case .available: return .available
|
||||
case .unavailable(.deviceNotEligible): return .unavailable(reason: .deviceNotEligible)
|
||||
case .unavailable(.appleIntelligenceNotEnabled): return .unavailable(reason: .appleIntelligenceNotEnabled)
|
||||
case .unavailable(.modelNotReady): return .unavailable(reason: .modelNotReady)
|
||||
@unknown default: return .unavailable(reason: .unknown("system-model-unavailable"))
|
||||
}
|
||||
}
|
||||
|
||||
public func generate(_ request: RDAIGenerationRequest) async throws -> RDAIGeneratedArtifact {
|
||||
guard case .available = await availability(for: capability(for: request.task), locale: request.locale) else {
|
||||
throw RDAIError.modelUnavailable(.modelNotReady)
|
||||
}
|
||||
let context = request.passages.enumerated().map { "[\($0.element.id)] \($0.element.text)" }.joined(separator: "\n\n")
|
||||
let task: String
|
||||
switch request.task {
|
||||
case .summary: task = "Summarize the passages in the user's language. Do not add facts."
|
||||
case .answer: task = "Answer the question using only the passages. If evidence is insufficient, say so. Question: \(request.userText ?? "")"
|
||||
case .characters, .relationships: throw RDAIError.insufficientEvidence
|
||||
}
|
||||
let session = LanguageModelSession(instructions: "You are a book reading assistant. Use only supplied passages and never reveal unread content.")
|
||||
switch request.task {
|
||||
case .summary:
|
||||
let response = try await session.respond(to: "\(task) Each statement must include its supplied passage IDs.\n\nPassages:\n\(context)", generating: RDAIModelSummary.self)
|
||||
return .summary(overview: response.content.overview, statements: response.content.statements.map(statement))
|
||||
case .answer:
|
||||
let response = try await session.respond(to: "\(task) Each statement must include its supplied passage IDs.\n\nPassages:\n\(context)", generating: RDAIModelAnswer.self)
|
||||
return .answer(text: response.content.answer, statements: response.content.statements.map(statement))
|
||||
case .characters, .relationships: throw RDAIError.insufficientEvidence
|
||||
}
|
||||
}
|
||||
|
||||
private func capability(for task: RDAIGenerationTask) -> RDAICapability {
|
||||
switch task {
|
||||
case .summary: return .summarization
|
||||
case .answer: return .questionAnswering
|
||||
case .characters, .relationships: return .characterRelationships
|
||||
}
|
||||
}
|
||||
|
||||
private func statement(_ value: RDAIModelStatement) -> RDAISourcedStatement {
|
||||
RDAISourcedStatement(text: value.text, citationIdentifiers: value.passageIDs)
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,171 @@
|
||||
import Foundation
|
||||
import NaturalLanguage
|
||||
|
||||
public struct RDAINaturalLanguageAnalyzer: RDAIAnalyzing {
|
||||
public struct Configuration: Sendable {
|
||||
public var maximumPassageUTF16Length: Int
|
||||
public var overlapSentenceCount: Int
|
||||
|
||||
public init(maximumPassageUTF16Length: Int = 800, overlapSentenceCount: Int = 1) {
|
||||
self.maximumPassageUTF16Length = max(160, maximumPassageUTF16Length)
|
||||
self.overlapSentenceCount = max(0, overlapSentenceCount)
|
||||
}
|
||||
}
|
||||
|
||||
public let configuration: Configuration
|
||||
|
||||
public init(configuration: Configuration = .init()) {
|
||||
self.configuration = configuration
|
||||
}
|
||||
|
||||
public func analyze(document: RDAIDocumentDescriptor, snapshot: RDAIResourceSnapshot) async -> RDAIAnalysisResult {
|
||||
await Task.detached(priority: .utility) {
|
||||
let language = Self.detectLanguage(in: snapshot.sourceText)
|
||||
let passages = Self.makePassages(document: document, snapshot: snapshot, language: language, configuration: configuration)
|
||||
let mentions = Self.makeEntityMentions(document: document, snapshot: snapshot)
|
||||
return RDAIAnalysisResult(passages: passages, entityMentions: mentions)
|
||||
}.value
|
||||
}
|
||||
|
||||
private static func detectLanguage(in text: String) -> String? {
|
||||
let recognizer = NLLanguageRecognizer()
|
||||
recognizer.processString(text)
|
||||
return recognizer.dominantLanguage?.rawValue
|
||||
}
|
||||
|
||||
private static func makePassages(
|
||||
document: RDAIDocumentDescriptor,
|
||||
snapshot: RDAIResourceSnapshot,
|
||||
language: String?,
|
||||
configuration: Configuration
|
||||
) -> [RDAIPassage] {
|
||||
let sentenceRanges = sentenceRanges(
|
||||
in: snapshot.sourceText,
|
||||
maximumUTF16Length: configuration.maximumPassageUTF16Length
|
||||
)
|
||||
guard !sentenceRanges.isEmpty else { return [] }
|
||||
var result: [RDAIPassage] = []
|
||||
var startIndex = 0
|
||||
var order = 0
|
||||
|
||||
while startIndex < sentenceRanges.count {
|
||||
var endIndex = startIndex
|
||||
var length = 0
|
||||
while endIndex < sentenceRanges.count {
|
||||
let candidate = sentenceRanges[endIndex]
|
||||
let nextLength = max(candidate.upperBound - sentenceRanges[startIndex].location, candidate.length)
|
||||
if endIndex > startIndex && nextLength > configuration.maximumPassageUTF16Length { break }
|
||||
length = nextLength
|
||||
endIndex += 1
|
||||
}
|
||||
guard length > 0 else { break }
|
||||
let rawRange = RDAITextRange(location: sentenceRanges[startIndex].location, length: length)
|
||||
guard let range = trimmedRange(rawRange, in: snapshot.sourceText),
|
||||
let locator = RDAILocatorBuilder.makeLocator(document: document, snapshot: snapshot, range: range) else {
|
||||
startIndex = max(startIndex + 1, endIndex)
|
||||
continue
|
||||
}
|
||||
let text = (snapshot.sourceText as NSString).substring(with: NSRange(location: range.location, length: range.length))
|
||||
let contentHash = RDAIContentHasher.hash(text)
|
||||
result.append(RDAIPassage(
|
||||
id: RDAIContentHasher.hash("\(document.identifier.rawValue)|\(snapshot.descriptor.identifier.rawValue)|\(range.location)|\(range.length)|\(contentHash)"),
|
||||
documentIdentifier: document.identifier,
|
||||
resourceIdentifier: snapshot.descriptor.identifier,
|
||||
text: text,
|
||||
languageCode: language,
|
||||
locator: locator,
|
||||
contentHash: contentHash,
|
||||
order: order
|
||||
))
|
||||
order += 1
|
||||
let nextStart = max(endIndex - configuration.overlapSentenceCount, startIndex + 1)
|
||||
startIndex = nextStart
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
private static func sentenceRanges(in text: String, maximumUTF16Length: Int) -> [RDAITextRange] {
|
||||
let tokenizer = NLTokenizer(unit: .sentence)
|
||||
tokenizer.string = text
|
||||
var ranges: [RDAITextRange] = []
|
||||
tokenizer.enumerateTokens(in: text.startIndex..<text.endIndex) { range, _ in
|
||||
let nsRange = NSRange(range, in: text)
|
||||
if nsRange.length > 0 { ranges.append(RDAITextRange(location: nsRange.location, length: nsRange.length)) }
|
||||
return true
|
||||
}
|
||||
if ranges.isEmpty, !text.trimmingCharacters(in: .whitespacesAndNewlines).isEmpty {
|
||||
ranges = [RDAITextRange(location: 0, length: text.utf16.count)]
|
||||
}
|
||||
return ranges.flatMap { split($0, in: text, maximumUTF16Length: maximumUTF16Length) }
|
||||
}
|
||||
|
||||
private static func split(
|
||||
_ range: RDAITextRange,
|
||||
in text: String,
|
||||
maximumUTF16Length: Int
|
||||
) -> [RDAITextRange] {
|
||||
guard range.length > maximumUTF16Length else { return [range] }
|
||||
let source = text as NSString
|
||||
var result: [RDAITextRange] = []
|
||||
var cursor = range.location
|
||||
while cursor < range.upperBound {
|
||||
let candidate = min(cursor + maximumUTF16Length, range.upperBound)
|
||||
var boundary = candidate
|
||||
if candidate < range.upperBound {
|
||||
let composed = source.rangeOfComposedCharacterSequence(at: candidate)
|
||||
boundary = composed.location > cursor ? composed.location : min(composed.upperBound, range.upperBound)
|
||||
}
|
||||
guard boundary > cursor else { break }
|
||||
result.append(RDAITextRange(location: cursor, length: boundary - cursor))
|
||||
cursor = boundary
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
private static func trimmedRange(_ range: RDAITextRange, in text: String) -> RDAITextRange? {
|
||||
let source = (text as NSString).substring(with: NSRange(location: range.location, length: range.length))
|
||||
let trimmed = source.trimmingCharacters(in: .whitespacesAndNewlines)
|
||||
guard !trimmed.isEmpty else { return nil }
|
||||
let leading = source.utf16.count - source.drop(while: { $0.isWhitespace || $0.isNewline }).utf16.count
|
||||
return RDAITextRange(location: range.location + leading, length: trimmed.utf16.count)
|
||||
}
|
||||
|
||||
private static func makeEntityMentions(
|
||||
document: RDAIDocumentDescriptor,
|
||||
snapshot: RDAIResourceSnapshot
|
||||
) -> [RDAIEntityMention] {
|
||||
let tagger = NLTagger(tagSchemes: [.nameType])
|
||||
tagger.string = snapshot.sourceText
|
||||
var mentions: [RDAIEntityMention] = []
|
||||
let fullRange = snapshot.sourceText.startIndex..<snapshot.sourceText.endIndex
|
||||
tagger.enumerateTags(in: fullRange, unit: .word, scheme: .nameType, options: [.omitWhitespace, .omitPunctuation, .joinNames]) { tag, range in
|
||||
guard let tag,
|
||||
let kind = entityKind(for: tag) else { return true }
|
||||
let nsRange = NSRange(range, in: snapshot.sourceText)
|
||||
let textRange = RDAITextRange(location: nsRange.location, length: nsRange.length)
|
||||
guard let locator = RDAILocatorBuilder.makeLocator(document: document, snapshot: snapshot, range: textRange) else { return true }
|
||||
let surfaceText = String(snapshot.sourceText[range])
|
||||
let normalized = surfaceText.trimmingCharacters(in: .whitespacesAndNewlines)
|
||||
guard !normalized.isEmpty else { return true }
|
||||
mentions.append(RDAIEntityMention(
|
||||
id: RDAIContentHasher.hash("\(snapshot.descriptor.identifier.rawValue)|\(textRange.location)|\(normalized)|\(kind.rawValue)"),
|
||||
normalizedName: normalized.folding(options: [.caseInsensitive, .diacriticInsensitive], locale: .current),
|
||||
surfaceText: normalized,
|
||||
kind: kind,
|
||||
confidence: 0.8,
|
||||
locator: locator
|
||||
))
|
||||
return true
|
||||
}
|
||||
return mentions
|
||||
}
|
||||
|
||||
private static func entityKind(for tag: NLTag) -> RDAIEntityKind? {
|
||||
switch tag {
|
||||
case .personalName: return .person
|
||||
case .placeName: return .place
|
||||
case .organizationName: return .organization
|
||||
default: return nil
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,19 @@
|
||||
import Foundation
|
||||
import NaturalLanguage
|
||||
|
||||
/// Uses Apple's bundled sentence embeddings when the language asset exists.
|
||||
/// Distances are converted to a stable 0...1 ranking signal only within one
|
||||
/// query; callers must not compare values across embedding revisions.
|
||||
public struct RDAINaturalLanguageSemanticScorer: RDAISemanticScoring {
|
||||
public init() {}
|
||||
|
||||
public func score(query: String, text: String, languageCode: String?) async -> Double? {
|
||||
await Task.detached(priority: .utility) {
|
||||
let language = languageCode.flatMap(NLLanguage.init(rawValue:)) ?? .english
|
||||
guard let embedding = NLEmbedding.sentenceEmbedding(for: language) else { return nil }
|
||||
let distance = embedding.distance(between: query, and: text)
|
||||
guard distance.isFinite else { return nil }
|
||||
return 1 / (1 + Double(distance))
|
||||
}.value
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,37 @@
|
||||
Pod::Spec.new do |s|
|
||||
s.name = "RDAIReaderView"
|
||||
s.module_name = "RDAIReaderView"
|
||||
s.version = "0.1.0"
|
||||
s.summary = "Local-first AI indexing and retrieval primitives for ReadViewSDK readers"
|
||||
s.platform = :ios, "15.0"
|
||||
s.swift_versions = ["5.10"]
|
||||
s.homepage = "https://example.invalid/RDAIReaderView"
|
||||
s.author = { "readoor" => "ios@touchread.com" }
|
||||
s.source = { :path => "." }
|
||||
s.license = "MIT"
|
||||
s.requires_arc = true
|
||||
|
||||
s.subspec "Core" do |core|
|
||||
core.source_files = "Core/**/*.swift"
|
||||
core.frameworks = "CryptoKit"
|
||||
core.libraries = "sqlite3"
|
||||
end
|
||||
|
||||
s.subspec "NaturalLanguage" do |natural_language|
|
||||
natural_language.source_files = "NaturalLanguage/**/*.swift"
|
||||
natural_language.dependency "RDAIReaderView/Core", "~> 0.1"
|
||||
natural_language.frameworks = "NaturalLanguage"
|
||||
end
|
||||
|
||||
s.subspec "FoundationModels" do |foundation_models|
|
||||
foundation_models.source_files = "FoundationModels/**/*.swift"
|
||||
foundation_models.dependency "RDAIReaderView/Core", "~> 0.1"
|
||||
foundation_models.frameworks = "FoundationModels"
|
||||
end
|
||||
|
||||
s.subspec "UI" do |ui|
|
||||
ui.source_files = "UI/**/*.swift"
|
||||
ui.dependency "RDAIReaderView/Core", "~> 0.1"
|
||||
ui.frameworks = "UIKit"
|
||||
end
|
||||
end
|
||||
@@ -0,0 +1,38 @@
|
||||
# RDAIReaderView
|
||||
|
||||
`RDAIReaderView` is the local indexing and retrieval foundation for ReadViewSDK AI reader features. Version `0.1` provides Natural Language sentence chunking, language detection, named-entity candidates, source-backed citations and local lexical retrieval. It does not upload book content.
|
||||
|
||||
## Install
|
||||
|
||||
```ruby
|
||||
pod 'RDAIReaderView/NaturalLanguage'
|
||||
pod 'RDPDFReaderView/AI'
|
||||
pod 'RDEpubReaderView/AI'
|
||||
```
|
||||
|
||||
## Use with PDF
|
||||
|
||||
```swift
|
||||
let service = reader.makeAIReaderService()
|
||||
try await service.prepareIndex(
|
||||
options: RDAIIndexOptions(scope: .wholeDocument)
|
||||
)
|
||||
|
||||
let matches = await service.retrieve(
|
||||
query: "主角为什么离开",
|
||||
options: RDAIRetrievalOptions(scope: .wholeDocument)
|
||||
)
|
||||
|
||||
if let match = matches.first {
|
||||
let citation = RDAICitation(
|
||||
passageIdentifier: match.passage.id,
|
||||
quote: match.passage.text,
|
||||
locator: match.passage.locator
|
||||
)
|
||||
try await reader.makeAIContentProvider().aiShowCitationHighlight(citation)
|
||||
}
|
||||
```
|
||||
|
||||
PDF citations retain native-text versus OCR provenance. EPUB citations use normalized `href` and derive CFI ranges when navigating.
|
||||
|
||||
Foundation Models generation, persistent SQLite storage and the AI UI are planned follow-up modules; the Core API is intentionally independent of those capabilities.
|
||||
@@ -0,0 +1,136 @@
|
||||
import UIKit
|
||||
|
||||
/// A reusable, local-first assistant sheet. Hosts supply the read scope so the
|
||||
/// UI cannot silently expand answers beyond the reader's spoiler boundary.
|
||||
@MainActor
|
||||
public final class RDAIReaderAssistantViewController: UIViewController {
|
||||
private let service: RDAIReaderService
|
||||
private let scope: RDAIReadScope
|
||||
private let output = UITextView()
|
||||
private let citationsStack = UIStackView()
|
||||
private let questionField = UITextField()
|
||||
private let activity = UIActivityIndicatorView(style: .medium)
|
||||
private var citations: [RDAICitation] = []
|
||||
private var indexingTask: Task<Void, Never>?
|
||||
|
||||
private struct Presentation {
|
||||
let text: String
|
||||
let citations: [RDAICitation]
|
||||
}
|
||||
|
||||
public init(service: RDAIReaderService, scope: RDAIReadScope) {
|
||||
self.service = service
|
||||
self.scope = scope
|
||||
super.init(nibName: nil, bundle: nil)
|
||||
title = "阅读助手"
|
||||
}
|
||||
|
||||
required init?(coder: NSCoder) { nil }
|
||||
|
||||
public override func viewDidLoad() {
|
||||
super.viewDidLoad()
|
||||
view.backgroundColor = .systemBackground
|
||||
let closeButton = UIBarButtonItem(barButtonSystemItem: .close, target: self, action: #selector(close))
|
||||
let cancelButton = UIBarButtonItem(title: "取消索引", style: .plain, target: self, action: #selector(cancelIndexing))
|
||||
navigationItem.rightBarButtonItems = [closeButton, cancelButton]
|
||||
navigationItem.leftBarButtonItem = UIBarButtonItem(title: "清除数据", style: .plain, target: self, action: #selector(clearAIData))
|
||||
let summary = button("摘要", action: #selector(showSummary))
|
||||
let characters = button("人物", action: #selector(showCharacters))
|
||||
let relationships = button("关系", action: #selector(showRelationships))
|
||||
questionField.placeholder = "向已读内容提问"
|
||||
questionField.borderStyle = .roundedRect
|
||||
questionField.returnKeyType = .send
|
||||
questionField.delegate = self
|
||||
output.isEditable = false
|
||||
output.font = .preferredFont(forTextStyle: .body)
|
||||
output.adjustsFontForContentSizeCategory = true
|
||||
output.accessibilityIdentifier = "rdai.assistant.output"
|
||||
let actions = UIStackView(arrangedSubviews: [summary, characters, relationships])
|
||||
actions.axis = .horizontal; actions.distribution = .fillEqually; actions.spacing = 8
|
||||
citationsStack.axis = .vertical; citationsStack.spacing = 6
|
||||
let stack = UIStackView(arrangedSubviews: [actions, questionField, output, citationsStack])
|
||||
stack.axis = .vertical; stack.spacing = 12
|
||||
view.addSubview(stack); view.addSubview(activity)
|
||||
stack.translatesAutoresizingMaskIntoConstraints = false; activity.translatesAutoresizingMaskIntoConstraints = false
|
||||
NSLayoutConstraint.activate([stack.topAnchor.constraint(equalTo: view.safeAreaLayoutGuide.topAnchor, constant: 16), stack.leadingAnchor.constraint(equalTo: view.layoutMarginsGuide.leadingAnchor), stack.trailingAnchor.constraint(equalTo: view.layoutMarginsGuide.trailingAnchor), stack.bottomAnchor.constraint(equalTo: view.safeAreaLayoutGuide.bottomAnchor, constant: -16), output.heightAnchor.constraint(greaterThanOrEqualToConstant: 180), activity.centerXAnchor.constraint(equalTo: view.centerXAnchor), activity.centerYAnchor.constraint(equalTo: view.centerYAnchor)])
|
||||
startIndexing()
|
||||
}
|
||||
|
||||
deinit { indexingTask?.cancel() }
|
||||
|
||||
@objc private func close() { indexingTask?.cancel(); service.resumeIndexing(); service.clearCitationHighlight(); dismiss(animated: true) }
|
||||
@objc private func cancelIndexing() { indexingTask?.cancel(); service.resumeIndexing(); output.text = "已取消本地索引。"; activity.stopAnimating() }
|
||||
@objc private func clearAIData() {
|
||||
let alert = UIAlertController(title: "清除 AI 数据", message: "将删除本书的本地索引、缓存和生成结果，不会删除原书或用户标注。", preferredStyle: .actionSheet)
|
||||
alert.addAction(UIAlertAction(title: "取消", style: .cancel))
|
||||
alert.addAction(UIAlertAction(title: "清除", style: .destructive) { [weak self] _ in
|
||||
guard let self else { return }
|
||||
Task { await self.service.removeIndex(); self.service.clearCitationHighlight(); self.output.text = "已清除本地 AI 数据。"; self.renderCitations([]) }
|
||||
})
|
||||
present(alert, animated: true)
|
||||
}
|
||||
private func startIndexing() {
|
||||
indexingTask?.cancel()
|
||||
indexingTask = Task { [weak self] in
|
||||
guard let self else { return }
|
||||
await self.prepareIndex()
|
||||
}
|
||||
}
|
||||
|
||||
private func prepareIndex() async {
|
||||
activity.startAnimating()
|
||||
output.text = "正在建立本地索引…"
|
||||
let updatesTask = Task { [weak self] in
|
||||
guard let self else { return }
|
||||
for await state in service.stateUpdates() {
|
||||
guard !Task.isCancelled else { return }
|
||||
self.display(indexState: state)
|
||||
}
|
||||
}
|
||||
defer { updatesTask.cancel(); activity.stopAnimating(); indexingTask = nil }
|
||||
do {
|
||||
try await service.prepareIndex(options: .init(scope: scope))
|
||||
} catch is CancellationError {
|
||||
output.text = "已取消本地索引。"
|
||||
} catch {
|
||||
output.text = "本地索引暂不可用。"
|
||||
}
|
||||
}
|
||||
|
||||
private func display(indexState: RDAIIndexState) {
|
||||
switch indexState {
|
||||
case .indexing(let completed, let total): output.text = "正在建立本地索引：\(completed)/\(total)"
|
||||
case .paused(let completed, let total): output.text = "索引已暂停：\(completed)/\(total)"
|
||||
case .ready: output.text = "本地索引已就绪。"
|
||||
case .failed: output.text = "本地索引暂不可用。"
|
||||
case .notStarted: break
|
||||
}
|
||||
}
|
||||
@objc private func showSummary() { Task { await perform("正在生成摘要…") { let summary = try await self.service.summarize(scope: self.scope, length: .standard); return .init(text: summary.keyPoints.map(\.text).joined(separator: "\n\n"), citations: summary.citations) } } }
|
||||
@objc private func showCharacters() { Task { await perform("正在整理人物…") { let values = await self.service.characters(scope: self.scope); return .init(text: values.map { "\($0.displayName)：\($0.description)" }.joined(separator: "\n"), citations: values.flatMap(\.evidence)) } } }
|
||||
@objc private func showRelationships() { Task { await perform("正在整理关系…") {
|
||||
let characters = await self.service.characters(scope: self.scope)
|
||||
let names = Dictionary(uniqueKeysWithValues: characters.map { ($0.id, $0.displayName) })
|
||||
let values = await self.service.relationships(scope: self.scope)
|
||||
guard !values.isEmpty else { return .init(text: "当前已读范围内没有足够证据建立人物关系。", citations: []) }
|
||||
return .init(text: values.map { relationship in
|
||||
let source = names[relationship.sourceCharacterIdentifier] ?? "未知人物"
|
||||
let target = names[relationship.targetCharacterIdentifier] ?? "未知人物"
|
||||
return "\(source) - \(relationship.label) - \(target)（\(relationship.status.localizedDescription)）"
|
||||
}.joined(separator: "\n"), citations: values.flatMap(\.evidence))
|
||||
} } }
|
||||
|
||||
private func ask() { guard let question = questionField.text?.trimmingCharacters(in: .whitespacesAndNewlines), !question.isEmpty else { return }; Task { await perform("正在检索原文…") { let answer = try await self.service.answer(question: question, scope: self.scope); return .init(text: ([answer.text] + answer.statements.map(\.text)).joined(separator: "\n\n"), citations: answer.citations) } } }
|
||||
private func perform(_ placeholder: String, operation: @escaping @MainActor () async throws -> Presentation) async { activity.startAnimating(); output.text = placeholder; renderCitations([]); defer { activity.stopAnimating() }; do { let presentation = try await operation(); output.text = presentation.text; renderCitations(presentation.citations) } catch { output.text = "暂时无法完成此请求。" } }
|
||||
private func renderCitations(_ values: [RDAICitation]) { citations = values; citationsStack.arrangedSubviews.forEach { $0.removeFromSuperview() }; for (index, citation) in values.enumerated() { var configuration = UIButton.Configuration.gray(); configuration.title = "原文：\(citation.quote.prefix(42))"; configuration.titleLineBreakMode = .byTruncatingTail; let button = UIButton(configuration: configuration); button.contentHorizontalAlignment = .leading; button.tag = index; button.addTarget(self, action: #selector(openCitation(_:)), for: .touchUpInside); citationsStack.addArrangedSubview(button) } }
|
||||
@objc private func openCitation(_ sender: UIButton) { guard citations.indices.contains(sender.tag) else { return }; Task { try? await service.showCitation(citations[sender.tag]) } }
|
||||
private func button(_ title: String, action: Selector) -> UIButton { var configuration = UIButton.Configuration.tinted(); configuration.title = title; let button = UIButton(configuration: configuration); button.addTarget(self, action: action, for: .touchUpInside); return button }
|
||||
}
|
||||
|
||||
extension RDAIReaderAssistantViewController: UITextFieldDelegate { public func textFieldShouldReturn(_ textField: UITextField) -> Bool { ask(); return true } }
|
||||
|
||||
private extension RDAIRelationshipStatus {
|
||||
var localizedDescription: String {
|
||||
switch self { case .confirmed: return "已确认"; case .possible: return "可能"; case .conflicting: return "存在冲突" }
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user