380 lines
12 KiB
Swift
380 lines
12 KiB
Swift
import Foundation
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import Cocoa
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import CreateML
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struct Configuration: Codable {
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let imageDirectory: String
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let classifierModelPath: String
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let trainingIterations: Int
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let serverPath: String
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let authenticationToken: String
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init?(at url: URL) {
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do {
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let configData = try Data(contentsOf: url)
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self = try JSONDecoder().decode(Configuration.self, from: configData)
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} catch {
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print("[ERROR] Failed to load configuration at \(url.absoluteURL.path): \(error)")
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return nil
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}
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}
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}
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struct Cap: Codable {
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let id: Int
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let count: Int
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enum CodingKeys: String, CodingKey {
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case id = "i"
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case count = "c"
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}
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}
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final class ClassifierCreator {
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static let configurationFileUrl = URL(fileURLWithPath: "config.json")
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let server: URL
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let configuration: Configuration
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let imageDirectory: URL
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let classifierUrl: URL
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let df = DateFormatter()
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// MARK: Step 1: Load configuration
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init?() {
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guard let configuration = Configuration(at: ClassifierCreator.configurationFileUrl) else {
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return nil
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}
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self.configuration = configuration
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guard let serverUrl = URL(string: configuration.serverPath) else {
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print("[ERROR] Configuration: Invalid server path \(configuration.serverPath)")
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return nil
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}
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self.server = serverUrl
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self.imageDirectory = URL(fileURLWithPath: configuration.imageDirectory)
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self.classifierUrl = URL(fileURLWithPath: configuration.classifierModelPath)
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df.dateFormat = "yy-MM-dd-HH-mm-ss"
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}
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// MARK: Main function
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func run() async {
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let imagesSnapshotDate = Date()
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guard let (classes, changedImageCount) = await loadImages() else {
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return
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}
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guard !classes.isEmpty else {
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return
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}
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guard changedImageCount > 0 else {
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print("[INFO] No changed images, so no new classifier trained")
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return
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}
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guard let classifierVersion = await getClassifierVersion() else {
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return
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}
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let newVersion = classifierVersion + 1
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print("[INFO] Image directory: \(imageDirectory.absoluteURL.path)")
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print("[INFO] Model path: \(configuration.classifierModelPath)")
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print("[INFO] Version: \(newVersion)")
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print("[INFO] Classes: \(classes.count)")
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print("[INFO] Iterations: \(configuration.trainingIterations)")
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guard trainModel() else {
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return
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}
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guard await upload(version: newVersion) else {
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return
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}
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guard await upload(classes: classes, lastUpdate: imagesSnapshotDate) else {
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return
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}
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print("[INFO] Done")
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}
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// MARK: Step 2: Load changed images
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func loadImages() async -> (classes: [Int], changedImages: Int)? {
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guard createImageFolderIfMissing() else {
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return nil
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}
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let imageCounts = await getImageCounts()
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let missingImageList: [(cap: Int, image: Int)] = imageCounts
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.sorted { $0.key < $1.key }
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.reduce(into: []) { list, pair in
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let missingImagesForCap: [(cap: Int, image: Int)] = (0..<pair.value).compactMap { image in
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let url = imageUrl(base: imageDirectory, cap: pair.key, image: image)
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guard !FileManager.default.fileExists(atPath: url.path) else {
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return nil
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}
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return (cap: pair.key, image: image)
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}
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list.append(contentsOf: missingImagesForCap)
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}
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if missingImageList.isEmpty {
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print("[INFO] No missing images to load")
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} else {
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print("[INFO] Loading \(missingImageList.count) missing images...")
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}
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guard await loadImages(missingImageList) else {
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return nil
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}
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let changedImageList = await getChangedImageList()
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if changedImageList.isEmpty {
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print("[INFO] No changed images to load")
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} else {
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print("[INFO] Loading \(changedImageList.count) changed images...")
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}
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guard await loadImages(changedImageList) else {
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return nil
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}
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let classes = imageCounts.keys.sorted()
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return (classes, missingImageList.count + changedImageList.count)
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}
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private func createImageFolderIfMissing() -> Bool {
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guard !FileManager.default.fileExists(atPath: imageDirectory.path) else {
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return true
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}
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do {
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try FileManager.default.createDirectory(at: imageDirectory, withIntermediateDirectories: true)
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return true
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} catch {
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print("[ERROR] Failed to create image directory: \(error)")
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return false
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}
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}
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private func getImageCounts() async -> [Int : Int] {
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guard let data: Data = await get(server.appendingPathComponent("caps.json")) else {
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return [:]
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}
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do {
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return try JSONDecoder().decode([Cap].self, from: data)
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.reduce(into: [:]) { $0[$1.id] = $1.count }
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} catch {
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print("[ERROR] Failed to decode cap database: \(error)")
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return [:]
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}
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}
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private func imageUrl(base: URL, cap: Int, image: Int) -> URL {
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base.appendingPathComponent(String(format: "%04d/%04d-%02d.jpg", cap, cap, image))
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}
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private func loadImage(cap: Int, image: Int) async -> Bool {
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let url = imageUrl(base: server.appendingPathComponent("images"), cap: cap, image: image)
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let tempFile: URL, response: URLResponse
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do {
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(tempFile, response) = try await URLSession.shared.download(from: url)
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} catch {
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print("[ERROR] Failed to load image \(image) of cap \(cap): \(error)")
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return false
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}
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let responseCode = (response as! HTTPURLResponse).statusCode
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guard responseCode == 200 else {
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print("[ERROR] Failed to load image \(image) of cap \(cap): Response \(responseCode)")
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return false
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}
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do {
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let localUrl = imageUrl(base: imageDirectory, cap: cap, image: image)
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if FileManager.default.fileExists(atPath: localUrl.path) {
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try FileManager.default.removeItem(at: localUrl)
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}
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try FileManager.default.moveItem(at: tempFile, to: localUrl)
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return true
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} catch {
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print("[ERROR] Failed to save image \(image) of cap \(cap): \(error)")
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return false
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}
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}
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private func loadImages(_ list: [(cap: Int, image: Int)]) async -> Bool {
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guard !list.isEmpty else {
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return true
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}
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var loadedImages = 0
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await withTaskGroup(of: Bool.self) { group in
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for (cap, image) in list {
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group.addTask {
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await self.loadImage(cap: cap, image: image)
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}
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}
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for await loaded in group {
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if loaded {
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loadedImages += 1
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}
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}
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}
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if loadedImages != list.count {
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print("[ERROR] Only \(loadedImages) of \(list.count) images loaded")
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return false
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}
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return true
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}
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func getChangedImageList() async -> [(cap: Int, image: Int)] {
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guard let string: String = await get(server.appendingPathComponent("changes.txt")) else {
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print("[ERROR] Failed to get list of changed images")
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return []
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}
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return string
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.components(separatedBy: "\n")
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.filter { $0 != "" }
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.compactMap {
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let parts = $0.components(separatedBy: ":")
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guard parts.count == 3 else {
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return nil
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}
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/*
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guard let date = df.date(from: parts[0]) else {
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print("[WARN] Invalid date \(parts[0]) in change list")
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return nil
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}
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*/
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guard let cap = Int(parts[1]) else {
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print("[WARN] Invalid cap id \(parts[1]) in change list")
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return nil
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}
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guard let image = Int(parts[2]) else {
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print("[WARN] Invalid image id \(parts[2]) in change list")
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return nil
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}
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return (cap, image)
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}
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}
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// MARK: Step 3: Compute version
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func getClassifierVersion() async -> Int? {
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guard let string: String = await get(server.appendingPathComponent("version")) else {
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print("[ERROR] Failed to get classifier version")
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return nil
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}
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guard let version = Int(string) else {
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print("[ERROR] Invalid classifier version \(string)")
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return nil
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}
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return version
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}
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// MARK: Step 4: Train classifier
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func trainModel() -> Bool {
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var params = MLImageClassifier.ModelParameters(augmentation: [])
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params.maxIterations = configuration.trainingIterations
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let model: MLImageClassifier
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do {
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model = try MLImageClassifier(
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trainingData: .labeledDirectories(at: imageDirectory),
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parameters: params)
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} catch {
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print("[ERROR] Failed to create classifier: \(error)")
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return false
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}
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print("[INFO] Saving classifier...")
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do {
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try model.write(to: classifierUrl)
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return true
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} catch {
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print("[ERROR] Failed to save model to file: \(error)")
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return false
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}
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}
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// MARK: Step 5: Upload classifier
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func upload(version: Int) async -> Bool {
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print("[INFO] Uploading classifier...")
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let modelData: Data
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do {
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modelData = try Data(contentsOf: classifierUrl)
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} catch {
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print("[ERROR] Failed to read classifier data: \(error)")
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return false
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}
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return await post(
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url: server.appendingPathComponent("classifier/\(version)"),
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body: modelData)
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}
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// MARK: Step 6: Update classes
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func upload(classes: [Int], lastUpdate: Date) async -> Bool {
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print("[INFO] Uploading trained classes...")
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let dateString = df.string(from: lastUpdate)
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return await post(
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url: server.appendingPathComponent("classes/\(dateString)"),
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body: classes.map(String.init).joined(separator: "\n").data(using: .utf8)!,
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dateKey: lastUpdate)
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}
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// MARK: Requests
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private func post(url: URL, body: Data) async -> Bool {
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var request = URLRequest(url: url)
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request.httpMethod = "POST"
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request.httpBody = body
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request.addValue(configuration.authenticationToken, forHTTPHeaderField: "key")
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return await perform(request) != nil
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}
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private func perform(_ request: URLRequest) async -> Data? {
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let data: Data
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let response: URLResponse
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do {
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(data, response) = try await URLSession.shared.data(for: request)
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} catch {
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print("[ERROR] Request failed: \(error)")
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return nil
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}
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let code = (response as! HTTPURLResponse).statusCode
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guard code == 200 else {
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print("[ERROR] Invalid response \(code)")
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return nil
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}
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return data
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}
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private func get(_ url: URL) async -> Data? {
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await perform(URLRequest(url: url))
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}
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private func get(_ url: URL) async -> String? {
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guard let data: Data = await get(url) else {
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return nil
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}
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guard let string = String(data: data, encoding: .utf8) else {
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print("[ERROR] Invalid string response \(data)")
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return nil
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}
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return string
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}
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}
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await ClassifierCreator().run()
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