mirror of
https://github.com/mii443/AzooKeyKanaKanjiConverter.git
synced 2025-12-03 11:08:33 +00:00
220 lines
8.6 KiB
Swift
220 lines
8.6 KiB
Swift
import KanaKanjiConverterModuleWithDefaultDictionary
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import ArgumentParser
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import Foundation
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extension Subcommands {
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struct Evaluate: AsyncParsableCommand {
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@Argument(help: "query, answer, tagを備えたjsonファイルへのパス")
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var inputFile: String = ""
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@Option(name: [.customLong("output")], help: "Output file path.")
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var outputFilePath: String? = nil
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@Option(name: [.customLong("config_n_best")], help: "The parameter n (n best parameter) for internal viterbi search.")
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var configNBest: Int = 10
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@Flag(name: [.customLong("stable")], help: "Report only stable properties; timestamps and values will not be reported.")
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var stable: Bool = false
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@Option(name: [.customLong("zenz")], help: "gguf format model weight for zenz.")
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var zenzWeightPath: String = ""
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@Option(name: [.customLong("config_zenzai_inference_limit")], help: "inference limit for zenzai.")
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var configZenzaiInferenceLimit: Int = .max
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@Flag(name: [.customLong("config_zenzai_ignore_left_context")], help: "ignore left_context")
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var configZenzaiIgnoreLeftContext: Bool = false
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static let configuration = CommandConfiguration(commandName: "evaluate", abstract: "Evaluate quality of Conversion for input data.")
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private func parseInputFile() throws -> [EvaluationInputItem] {
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let url = URL(fileURLWithPath: self.inputFile)
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let data = try Data(contentsOf: url)
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return try JSONDecoder().decode([EvaluationInputItem].self, from: data)
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}
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mutating func run() async throws {
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let inputItems = try parseInputFile()
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let converter = await KanaKanjiConverter()
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var executionTime: Double = 0
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var resultItems: [EvaluateItem] = []
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for item in inputItems {
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let start = Date()
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// セットアップ
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await converter.sendToDicdataStore(.importDynamicUserDict(
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(item.user_dictionary ?? []).map {
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DicdataElement(word: $0.word, ruby: $0.reading.toKatakana(), cid: CIDData.固有名詞.cid, mid: MIDData.一般.mid, value: -10)
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}
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))
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// 変換
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var composingText = ComposingText()
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composingText.insertAtCursorPosition(item.query, inputStyle: .direct)
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let requestOptions = self.requestOptions(leftSideContext: item.left_context)
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let result = await converter.requestCandidates(composingText, options: requestOptions)
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let mainResults = result.mainResults.filter {
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$0.data.reduce(into: "", {$0.append(contentsOf: $1.ruby)}) == item.query.toKatakana()
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}
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resultItems.append(
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EvaluateItem(
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query: item.query,
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answers: item.answer,
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left_context: item.left_context,
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outputs: mainResults.prefix(self.configNBest).map {
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EvaluateItemOutput(text: $0.text, score: Double($0.value))
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}
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)
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)
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executionTime += Date().timeIntervalSince(start)
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// Explictly reset state
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await converter.stopComposition()
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}
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var result = EvaluateResult(n_best: self.configNBest, execution_time: executionTime, items: resultItems)
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if stable {
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result.execution_time = 0
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result.timestamp = 0
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result.items.mutatingForeach {
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$0.entropy = Double(Int($0.entropy * 10)) / 10
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$0.outputs.mutatingForeach {
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$0.score = Double(Int($0.score))
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}
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}
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}
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let encoder = JSONEncoder()
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encoder.outputFormatting = [.prettyPrinted, .sortedKeys]
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let json = try encoder.encode(result)
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if let outputFilePath {
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try json.write(to: URL(fileURLWithPath: outputFilePath))
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} else {
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let string = String(data: json, encoding: .utf8)!
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print(string)
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}
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}
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func requestOptions(leftSideContext: String?) -> ConvertRequestOptions {
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var option: ConvertRequestOptions = .withDefaultDictionary(
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N_best: self.configNBest,
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requireJapanesePrediction: false,
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requireEnglishPrediction: false,
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keyboardLanguage: .ja_JP,
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typographyLetterCandidate: false,
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unicodeCandidate: true,
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englishCandidateInRoman2KanaInput: true,
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fullWidthRomanCandidate: false,
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halfWidthKanaCandidate: false,
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learningType: .nothing,
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maxMemoryCount: 0,
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shouldResetMemory: false,
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memoryDirectoryURL: URL(fileURLWithPath: ""),
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sharedContainerURL: URL(fileURLWithPath: ""),
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zenzaiMode: self.zenzWeightPath.isEmpty ? .off : .on(weight: URL(string: self.zenzWeightPath)!, inferenceLimit: self.configZenzaiInferenceLimit, versionDependentMode: .v2(.init(leftSideContext: self.configZenzaiIgnoreLeftContext ? nil : leftSideContext))),
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metadata: .init(versionString: "anco for debugging")
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)
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option.requestQuery = .完全一致
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return option
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}
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}
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struct EvaluationInputItem: Codable {
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/// 入力クエリ
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var query: String
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/// 正解データ（優先度順）
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var answer: [String]
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/// タグ
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var tag: [String] = []
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/// 左文脈
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var left_context: String? = nil
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/// ユーザ辞書
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var user_dictionary: [InputUserDictionaryItem]? = nil
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struct InputUserDictionaryItem: Codable {
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/// 漢字
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var word: String
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/// 読み
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var reading: String
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/// ヒント
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var hint: String? = nil
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}
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}
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struct EvaluateResult: Codable {
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internal init(n_best: Int, timestamp: TimeInterval = Date().timeIntervalSince1970, execution_time: TimeInterval, items: [Subcommands.EvaluateItem]) {
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self.n_best = n_best
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self.timestamp = timestamp
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self.execution_time = execution_time
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self.items = items
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var stat = EvaluateStat(query_count: items.count, ranks: [:])
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for item in items {
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stat.ranks[item.max_rank, default: 0] += 1
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}
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self.stat = stat
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}
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/// `N_Best`クエリ
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var n_best: Int
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/// タイムスタンプ
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var timestamp = Date().timeIntervalSince1970
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/// タイムスタンプ
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var execution_time: TimeInterval
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/// 統計情報
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var stat: EvaluateStat
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/// クエリと結果
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var items: [EvaluateItem]
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}
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struct EvaluateStat: Codable {
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var query_count: Int
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var ranks: [Int: Int]
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}
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struct EvaluateItem: Codable {
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init(query: String, answers: [String], left_context: String?, outputs: [Subcommands.EvaluateItemOutput]) {
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self.query = query
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self.answers = answers
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self.left_context = left_context ?? ""
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self.outputs = outputs
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do {
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// entropyを示す
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let mean = outputs.reduce(into: 0) { $0 += Double($1.score) } / Double(outputs.count)
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let expValues = outputs.map { exp(Double($0.score) - mean) }
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let sumOfExpValues = expValues.reduce(into: 0, +=)
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// 確率値に補正
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let probs = outputs.map { exp(Double($0.score) - mean) / sumOfExpValues }
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self.entropy = -probs.reduce(into: 0) { $0 += $1 * log($1) }
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}
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do {
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self.max_rank = outputs.firstIndex {
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answers.contains($0.text)
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} ?? -1
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}
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}
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/// 入力クエリ
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var query: String
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/// 正解データ（順序無し）
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var answers: [String]
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/// 出力
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var outputs: [EvaluateItemOutput]
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/// 文脈
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var left_context: String
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/// エントロピー
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var entropy: Double
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/// 正解と判定出来たものの最高の順位（-1は見つからなかったことを示す）
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var max_rank: Int
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}
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struct EvaluateItemOutput: Codable {
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var text: String
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var score: Double
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}
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}
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