@nexim/upload-sdk/dist/main.cjs.map

TypeScript SDK for seamless integration with Nexim Media Upload Service. It provides state machine-based upload handling, progress tracking, and type-safe API for image optimization and file uploads.

{
  "version": 3,
  "sources": ["../src/main.ts", "../src/lib/upload-file-machine.ts", "../src/lib/upload-image-machine.ts", "../src/lib/virtual-file-input.ts"],
  "sourcesContent": ["import { packageTracer } from '@alwatr/package-tracer';\n\n__dev_mode__: packageTracer.add(__package_name__, __package_version__);\n\nexport * from './lib/upload-file-machine.js';\nexport * from './lib/upload-image-machine.js';\nexport * from './lib/virtual-file-input.js';\n", "import { newFlatomise } from '@alwatr/flatomise';\nimport { AlwatrFluxStateMachine, AlwatrJsonFetchStateMachine, type FetchOptions } from '@alwatr/flux';\nimport { actionState } from '@nexim/action-state';\n\nimport type { ServiceResponse } from '@nexim/upload-types';\n\n/**\n * Configuration options for initializing an UploadFileMachine instance.\n */\nexport type UploadFileMachineOptions = {\n  /**\n   * Path where the file will be saved, without the file extension\n   */\n  pathWithoutExtension: string;\n\n  /**\n   * Authorization header value for API requests\n   */\n  authHeader: string;\n\n  /**\n   * Description of the file for maintenance purposes\n   */\n  description: string;\n\n  /**\n   * API endpoint URL for upload requests\n   */\n  apiEndpoint: string;\n};\n\nexport type UploadFileMachineState = 'initial' | 'loading' | 'failed' | 'complete';\ntype Event = 'request' | 'loading_failed' | 'loading_success';\n\n/**\n * A state machine for managing file uploads.\n * Handles file upload lifecycle including state management, API requests, and error handling.\n *\n * @noInheritDoc\n */\nexport class UploadFileMachine extends AlwatrFluxStateMachine<UploadFileMachineState, Event> {\n  protected fileBlob_: Blob | null = null;\n\n  private apiRequestFetchMachine__;\n\n  constructor(options: UploadFileMachineOptions) {\n    super({ name: options.pathWithoutExtension, initialState: 'initial' });\n\n    this.stateRecord_ = {\n      initial: {\n        request: 'loading',\n      },\n      loading: {\n        loading_failed: 'failed',\n        loading_success: 'complete',\n      },\n      failed: {\n        request: 'loading',\n      },\n      complete: {},\n    };\n\n    this.actionRecord_ = {\n      on_state_loading_enter: this.uploadFile_.bind(this),\n      on_state_complete_enter: this.clear.bind(this),\n    };\n\n    this.apiRequestFetchMachine__ = new AlwatrJsonFetchStateMachine<ServiceResponse<DictionaryReq<never>>>({\n      name: `upload:${this.name_}`,\n      fetch: this.generateFetchOption_(options),\n    });\n\n    this.apiRequestFetchMachine__.subscribe(({ state }) => {\n      if (state === 'complete') {\n        this.transition('loading_success');\n      }\n      else if (state === 'failed') {\n        this.transition('loading_failed');\n      }\n    });\n  }\n\n  /**\n   * Uploads an file synchronously and returns the default path upon completion.\n   * Creates a promise wrapper around the asynchronous upload process.\n   * Subscribes to state changes and resolves/rejects based on upload completion state.\n   *\n   * @param file - The blob object containing the file data to upload\n   * @returns Promise that resolves with the default path string if successful, null if failed\n   *\n   * @example\n   * ```ts\n   * const uploadFileMachine = new UploadFileMachine({\n   *   pathWithoutExtension: 'path/to/file',\n   *   authHeader: 'Bearer token',\n   *   description: 'File description',\n   *   apiEndpoint: 'https://api.example.com/upload',\n   *   });\n   * uploadFileMachine.syncUpload(file)\n   *   .then((path) => {\n   *     console.log('File uploaded successfully to:', path);\n   *   })\n   *   .catch(() => {\n   *     console.error('File upload failed');\n   *   });\n   * ```\n   */\n  syncUpload(file: Blob): Promise<boolean> {\n    this.logger_.logMethodArgs?.('syncUpload', { rawImage: file });\n\n    const flatomise = newFlatomise<boolean>();\n\n    const { unsubscribe } = this.subscribe(({ state }) => {\n      actionState(state, {\n        complete: () => {\n          flatomise.resolve(true);\n          unsubscribe();\n        },\n        failed: () => {\n          flatomise.reject(false);\n          unsubscribe();\n        },\n      });\n    });\n\n    this.upload(file);\n\n    return flatomise.promise;\n  }\n\n  /**\n   * Upload file.\n   *\n   * @param file - File to upload\n   *\n   * @example\n   * ```ts\n   * const uploadFileMachine = new UploadFileMachine({\n   *   pathWithoutExtension: 'path/to/file',\n   *   authHeader: 'Bearer token',\n   *   description: 'File description',\n   *   apiEndpoint: 'https://api.example.com/upload',\n   * });\n   * uploadFileMachine.subscribe(({state}) => {\n   *   if (state === 'complete') {\n   *    console.log('File uploaded successfully');\n   *   }\n   *   else if (state === 'failed') {\n   *    console.error('File upload failed');\n   *   }\n   * });\n   *\n   * uploadFileMachine.upload(file);\n   * ```\n   */\n  upload(file: Blob): void {\n    this.logger_.logMethodArgs?.('upload', { file });\n\n    this.fileBlob_ = file;\n    this.transition('request');\n  }\n\n  /**\n   * Clear the state.\n   */\n  clear(): void {\n    this.logger_.logMethod?.('clear');\n\n    this.fileBlob_ = null;\n    this.apiRequestFetchMachine__.clean();\n  }\n\n  protected generateFetchOption_(options: UploadFileMachineOptions): FetchOptions {\n    this.logger_.logMethod?.('generateFetchOption_');\n\n    return {\n      removeDuplicate: 'auto',\n      retry: 2,\n      retryDelay: 2_000,\n      timeout: 60_000,\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/octet-stream',\n        authorization: options.authHeader,\n      },\n      url: options.apiEndpoint,\n      queryParams: {\n        path: options.pathWithoutExtension,\n        description: options.description,\n      },\n    };\n  }\n\n  protected uploadFile_(): void {\n    if (this.fileBlob_ === null) return;\n    this.logger_.logMethod?.('uploadFile_');\n\n    const reader = new FileReader();\n\n    reader.addEventListener('loadend', (event) => {\n      const buffer = event.target?.result;\n      if (!buffer) {\n        this.transition('loading_failed');\n        return;\n      }\n\n      this.apiRequestFetchMachine__.request({ body: buffer });\n    });\n\n    reader.addEventListener('error', () => {\n      this.logger_.error('uploadFile_', 'File reading error');\n      this.transition('loading_failed');\n    });\n\n    reader.readAsArrayBuffer(this.fileBlob_);\n  }\n}\n", "import { uploadImagePresetRecord } from '@nexim/upload-types';\n\nimport { UploadFileMachine, type UploadFileMachineOptions, type UploadFileMachineState } from './upload-file-machine.js';\n\nimport type { FetchOptions } from '@alwatr/flux';\n\n/**\n * Configuration options for initializing an UploadImageMachine instance.\n * Extends UploadFileMachineOptions with image-specific options.\n */\nexport type UploadImageMachineOptions = UploadFileMachineOptions & {\n  /**\n   * The preset name that defines image processing parameters.\n   * Must be a key from the uploadImagePresetRecord.\n   */\n  presetName: keyof typeof uploadImagePresetRecord;\n};\n\n/**\n * States for the image upload machine.\n * Inherits all states from UploadFileMachineState.\n */\nexport type UploadImageMachineState = UploadFileMachineState;\n\n/**\n * Specialized state machine for handling image uploads.\n * Extends UploadFileMachine with image-specific functionality including:\n * - Image resizing based on preset configurations\n * - Client-side image optimization\n * - Automatic format conversion\n */\nexport class UploadImageMachine extends UploadFileMachine {\n  /** The default path where the image will be saved */\n  defaultPath;\n\n  /** Stores preset configuration for the current upload */\n  private uploadImagePresetRecord__;\n\n  /** Temporarily stores the original file before optimization */\n  private nonOptimizedFileBlob__: Blob | null = null;\n\n  constructor(options: UploadImageMachineOptions) {\n    super(options);\n\n    this.actionRecord_ = {\n      ...this.actionRecord_,\n      on_state_loading_enter: this.uploadAfterResize__.bind(this),\n    };\n\n    this.uploadImagePresetRecord__ = uploadImagePresetRecord[options.presetName];\n    this.defaultPath = options.pathWithoutExtension + this.uploadImagePresetRecord__.client.defaultAppendName;\n  }\n\n  /**\n   * Initiates an image upload process.\n   * The image will be optimized according to the preset configuration before uploading.\n   *\n   * @param file - The image file to upload\n   *\n   * @example\n   * ```ts\n   * const uploadImageMachine = new UploadImageMachine({\n   *   pathWithoutExtension: 'path/to/image',\n   *   authHeader: 'Bearer token',\n   *   description: 'Image description',\n   *   apiEndpoint: 'https://api.example.com/upload',\n   *   presetName: 'thumbnail',\n   * });\n   * uploadImageMachine.subscribe(({state}) => {\n   *   if (state === 'complete') {\n   *    console.log('Image uploaded successfully');\n   *   }\n   *   else if (state === 'failed') {\n   *    console.error('Image upload failed');\n   *   }\n   * });\n   *\n   * uploadImageMachine.upload(file);\n   * ```\n   */\n  override upload(file: Blob): void {\n    this.logger_.logMethodArgs?.('upload', { file });\n\n    this.nonOptimizedFileBlob__ = file;\n    this.transition('request');\n  }\n\n  /**\n   * Handles the image resizing process before uploading.\n   * Called automatically when entering the loading state.\n   */\n  private uploadAfterResize__(): void {\n    if (this.nonOptimizedFileBlob__ === null) return;\n    this.resizeImage__(this.nonOptimizedFileBlob__)\n      .then((blob) => {\n        this.fileBlob_ = blob;\n        this.uploadFile_();\n      })\n      .catch((error) => {\n        this.logger_.error('resizeImage', 'catch', { error });\n        this.transition('loading_failed');\n      });\n  }\n\n  /**\n   * Generates fetch options for the image upload request.\n   * Extends the base fetch options with image-specific parameters.\n   */\n  protected override generateFetchOption_(options: UploadImageMachineOptions): FetchOptions {\n    this.logger_.logMethod?.('generateFetchOption_');\n\n    return {\n      removeDuplicate: 'auto',\n      retry: 2,\n      retryDelay: 2_000,\n      timeout: 30_000,\n      method: 'POST',\n      headers: {\n        'Content-Type': 'application/octet-stream',\n        authorization: options.authHeader,\n      },\n      url: options.apiEndpoint,\n      queryParams: {\n        path: options.pathWithoutExtension,\n        presetName: options.presetName,\n        description: options.description,\n      },\n    };\n  }\n\n  /**\n   * Resizes an image according to preset configuration.\n   * Maintains aspect ratio when only width or height is specified.\n   *\n   * @param file - The original image file\n   * @returns A promise resolving to the resized image blob\n   */\n  private resizeImage__(file: Blob): Promise<Blob> {\n    this.logger_.logMethod?.('resizeImage__');\n\n    return new Promise((resolve, reject) => {\n      const canvas = document.createElement('canvas');\n      const context = canvas.getContext('2d');\n      if (!context) {\n        resolve(file);\n        return;\n      }\n\n      let width = this.uploadImagePresetRecord__.client.width;\n      let height = this.uploadImagePresetRecord__.client.height;\n\n      const image = new Image();\n      image.onload = () => {\n        const aspect = image.width / image.height;\n\n        if (width && height === -1) {\n          height = width / aspect;\n        }\n        else if (height && width === -1) {\n          width = height * aspect;\n        }\n\n        canvas.width = width;\n        canvas.height = height;\n\n        context.drawImage(image, 0, 0, width, height);\n        canvas.toBlob(\n          (blob) => {\n            resolve(blob!);\n          },\n          file.type,\n          this.uploadImagePresetRecord__.client.quality / 100,\n        );\n      };\n\n      image.addEventListener('error', (error) => {\n        this.logger_.error('resizeImage', 'image_onerror', { error });\n        reject(error);\n      });\n\n      image.src = URL.createObjectURL(file);\n    });\n  }\n}\n", "import { createLogger } from '@alwatr/logger';\nimport type { MaybePromise } from '@alwatr/type-helper';\n\nconst logger = createLogger(__package_name__);\n\n/**\n * Creates and triggers a virtual file input element to handle file selection.\n * This utility creates a temporary file input element, attaches event handlers,\n * and removes itself after use.\n *\n * Features:\n * - Creates a hidden file input element\n * - Handles file selection through browser's native interface\n * - Automatically cleans up after selection\n * - Supports async callbacks\n *\n * @example\n * ```ts\n * pickAndProcessFile('image/*', async (file) => {\n *   await uploadImage(file);\n * });\n * ```\n *\n * @param accept - Comma-separated list of allowed file types\n * @param callback - Function to handle the selected file\n */\nexport function pickAndProcessFile(accept: string, callback: (file: File) => MaybePromise<void>): void {\n  logger.logMethod?.('pickAndProcessFile');\n\n  const input = document.createElement('input');\n  input.type = 'file';\n  input.accept = accept;\n\n  input.addEventListener('change', async () => {\n    logger.logOther?.('changed');\n    if (input.files === null || input.files.length === 0) return;\n    const file = input.files[0];\n\n    logger.logOther?.('pickAndProcessFile.change', { file });\n\n    input.remove(); // Remove the input element from the DOM to free-up\n\n    await callback(file);\n  });\n\n  input.click();\n}\n"],
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