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Object)&&(e=v.parse(e.input,e.config))&&n.postMessage({workerId:v.WORKER_ID,results:e,finished:!0})}),(f.prototype=Object.create(u.prototype)).constructor=f,(l.prototype=Object.create(u.prototype)).constructor=l,(c.prototype=Object.create(c.prototype)).constructor=c,(p.prototype=Object.create(u.prototype)).constructor=p,v});","// biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\nfunction standardizeId(data: any, idColumnName: string) {\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  return data.map((item: any) => {\r\n    const newItem = { ...item };\r\n    newItem['~id'] = newItem[idColumnName];\r\n    return newItem;\r\n  });\r\n}\r\ntype Grouped<T> = {\r\n  [key: string]: T[];\r\n};\r\n\r\n// biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\nfunction groupBy<T extends Record<string, any>>(array: T[], key: keyof T): Grouped<T> {\r\n  return array.reduce(\r\n    (acc, item) => {\r\n      const k = String(item[key]);\r\n      if (!acc[k]) acc[k] = [];\r\n      acc[k].push(item);\r\n      return acc;\r\n    },\r\n    {} as Grouped<T>,\r\n  );\r\n}\r\n\r\n// biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\nfunction flattenArray(dataSets: any) {\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  const flattenedArray: any = [];\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  dataSets.forEach((dataSet: any) => {\r\n    // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n    dataSet.forEach((item: any) => {\r\n      flattenedArray.push(item);\r\n    });\r\n  });\r\n  return flattenedArray;\r\n}\r\n\r\n// biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\nfunction mergeDataById(dataSets: any, idColumnTitle: string) {\r\n  const uniqueId = groupBy(dataSets, '~id');\r\n  const mergedArray = Object.keys(uniqueId).map((el) => {\r\n    const merged = uniqueId[el].reduce((acc, obj) => {\r\n      Object.assign(acc, obj);\r\n      return acc;\r\n    }, {});\r\n    return merged;\r\n  });\r\n  const uniqueKeys = new Set();\r\n  mergedArray.forEach((item) => {\r\n    Object.keys(item).forEach((key) => {\r\n      uniqueKeys.add(key);\r\n    });\r\n  });\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  const defaultStructure: any = {};\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  uniqueKeys.forEach((key: any) => {\r\n    defaultStructure[key] = undefined;\r\n  });\r\n  const mergedArrayWithAllKeys = mergedArray.map((item) => {\r\n    return { ...defaultStructure, ...item };\r\n  });\r\n  return mergedArrayWithAllKeys.map((el) => ({\r\n    ...el,\r\n    [idColumnTitle]: el['~id'],\r\n  }));\r\n}\r\n\r\nexport function mergeMultipleData(\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  dataList: { data: any; idColumn: string }[],\r\n  idColumnTitle?: string,\r\n) {\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  const dataListWithStandardizedId = dataList.map((d: any) => {\r\n    const dataWithStandardizedId = standardizeId(d.data, d.idColumn);\r\n    return dataWithStandardizedId;\r\n  });\r\n  const flattenedArray = flattenArray(dataListWithStandardizedId);\r\n  return mergeDataById(flattenedArray, idColumnTitle || '~id');\r\n}\r\n","import type { ColumnConfigurationDataType } from '@/Types';\r\n/**\r\n * Transforms specified columns of the CSV data into arrays, splitting the string values based on a delimiter.\r\n * This function is useful for handling columns that contain multiple values separated by a delimiter,\r\n * and it converts them into arrays for further processing.\r\n *\r\n * @param csvData - The input CSV data, typically an array of objects where each object represents a row.\r\n * @param columnConfig - An optional array of column configuration objects specifying the columns to be transformed,\r\n *                       along with the delimiter used to split the values (defaults to ',' if not provided).\r\n *                       Each object should contain:\r\n *                       - `column`: The name of the column to transform.\r\n *                       - `delimiter`: The delimiter used to split the column values (optional, defaults to ',').\r\n *\r\n * @returns A new array of objects, where the specified columns are transformed into arrays of values, split by the delimiter.\r\n *\r\n * @example\r\n * const data = [\r\n *   { category: 'A', tags: 'apple, orange, banana' },\r\n *   { category: 'B', tags: 'grape, pear' }\r\n * ];\r\n * const columnConfig = [\r\n *   { column: 'tags', delimiter: ', ' }\r\n * ];\r\n * const transformedData = transformColumnsToArray(data, columnConfig);\r\n * console.log(transformedData);\r\n * // Output:\r\n * // [\r\n * //   { category: 'A', tags: ['apple', 'orange', 'banana'] },\r\n * //   { category: 'B', tags: ['grape', 'pear'] }\r\n * // ]\r\n */\r\nexport function transformColumnsToArray(\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  csvData: any,\r\n  columnConfig?: ColumnConfigurationDataType[],\r\n) {\r\n  if (!columnConfig || columnConfig.length === 0) return csvData;\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  const dataFormatted = csvData.map((el: any) => {\r\n    const temp = { ...el };\r\n    columnConfig.forEach((d) => {\r\n      temp[d.column] = temp[d.column]\r\n        ? temp[d.column].split(d.delimiter || ',').map((t: string) => t.trim())\r\n        : [];\r\n    });\r\n    return temp;\r\n  });\r\n  return dataFormatted;\r\n}\r\n","import Handlebars from 'handlebars';\r\nimport Papa from 'papaparse';\r\nimport type { ColumnConfigurationDataType, FileSettingsDataType } from '@/Types';\r\nimport { mergeMultipleData } from './transformData/mergeMultipleData';\r\nimport { transformColumnsToArray } from './transformData/transformColumnsToArray';\r\n\r\n// biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\nfunction reFormatData(data: any, dataTransformation?: string) {\r\n  if (!dataTransformation) return data;\r\n  Handlebars.registerHelper(\r\n    'json',\r\n    (context) => new Handlebars.SafeString(JSON.stringify(context, null, 2)),\r\n  );\r\n  const template = Handlebars.compile(dataTransformation);\r\n  return JSON.parse(template(data));\r\n}\r\n/**\r\n * Fetches a CSV file from a URL, parses it, and applies transformations based on the provided configuration.\r\n *\r\n * @param dataURL - The URL of the CSV file to fetch.\r\n * @param dataTransformation - Optional Handlebars template for data transformation.\r\n * @param columnsToArray - Optional columns configuration to transform certain columns to arrays.\r\n * @param debugMode - Optional flag to log data to the console for debugging.\r\n * @param delimiter - Optional delimiter used in the CSV file (default is comma).\r\n * @param header - Optional flag to specify whether the CSV file contains headers (default is true).\r\n *\r\n * @returns A promise that resolves to the parsed and transformed data.\r\n *\r\n * @example\r\n * fetchAndParseCSV('https://example.com/data.csv', '{{data}}', [], true)\r\n *   .then(parsedData => console.log(parsedData))\r\n *   .catch(error => console.error('Error:', error));\r\n */\r\nexport async function fetchAndParseCSV(\r\n  dataURL: string,\r\n  dataTransformation?: string,\r\n  columnsToArray?: ColumnConfigurationDataType[],\r\n  debugMode?: boolean,\r\n  delimiter?: string,\r\n  header?: boolean,\r\n) {\r\n  return new Promise((resolve, reject) => {\r\n    Papa.parse(dataURL, {\r\n      download: true,\r\n      skipEmptyLines: true,\r\n      dynamicTyping: true,\r\n      header: header !== false,\r\n      delimiter: delimiter || ',',\r\n      complete(results) {\r\n        if (debugMode) {\r\n          // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n          console.log('Data from file:', results.data);\r\n        }\r\n        if (columnsToArray) {\r\n          const transformedData = transformColumnsToArray(results.data, columnsToArray);\r\n          if (debugMode) {\r\n            // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n            console.log('Data after transformation of column to array:', transformedData);\r\n          }\r\n          resolve(reFormatData(transformedData, dataTransformation));\r\n        } else resolve(reFormatData(results.data, dataTransformation));\r\n      },\r\n      error(error) {\r\n        reject(error);\r\n      },\r\n    });\r\n  });\r\n}\r\n/**\r\n * Parses CSV data from a string, applying optional transformations.\r\n *\r\n * @param data - The CSV data as a string.\r\n * @param dataTransformation - Optional Handlebars template for data transformation.\r\n * @param columnsToArray - Optional columns configuration to transform certain columns to arrays.\r\n * @param debugMode - Optional flag to log data to the console for debugging.\r\n * @param delimiter - Optional delimiter used in the CSV file (default is comma).\r\n * @param header - Optional flag to specify whether the CSV file contains headers (default is true).\r\n *\r\n * @returns A promise that resolves to the parsed and transformed data.\r\n */\r\nexport async function fetchAndParseCSVFromTextBlob(\r\n  data: string,\r\n  dataTransformation?: string,\r\n  columnsToArray?: ColumnConfigurationDataType[],\r\n  debugMode?: boolean,\r\n  delimiter?: string,\r\n  header?: boolean,\r\n) {\r\n  return new Promise((resolve, reject) => {\r\n    Papa.parse(data, {\r\n      skipEmptyLines: true,\r\n      header: header !== false,\r\n      delimiter: delimiter || ',',\r\n      complete(results) {\r\n        if (debugMode) {\r\n          // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n          console.log('Data from file:', results.data);\r\n        }\r\n        if (columnsToArray) {\r\n          const transformedData = transformColumnsToArray(results.data, columnsToArray);\r\n          if (debugMode) {\r\n            // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n            console.log('Data after transformation of column to array:', transformedData);\r\n          }\r\n          resolve(reFormatData(transformedData, dataTransformation));\r\n        } else resolve(reFormatData(results.data, dataTransformation));\r\n      },\r\n      error(error: Error) {\r\n        reject(error);\r\n      },\r\n    });\r\n  });\r\n}\r\n/**\r\n * Fetches and parses a JSON file from a URL, and applies optional transformations.\r\n *\r\n * @param dataURL - The URL of the JSON file to fetch.\r\n * @param columnsToArray - Optional columns configuration to transform certain columns to arrays.\r\n * @param dataTransformation - Optional Handlebars template for data transformation.\r\n * @param debugMode - Optional flag to log data to the console for debugging.\r\n *\r\n * @returns A promise that resolves to the parsed and transformed data.\r\n */\r\nexport async function fetchAndParseJSON(\r\n  dataURL: string,\r\n  columnsToArray?: ColumnConfigurationDataType[],\r\n  dataTransformation?: string,\r\n  debugMode?: boolean,\r\n) {\r\n  const url = dataURL;\r\n  try {\r\n    const response = await fetch(url);\r\n    if (!response.ok) {\r\n      throw new Error(`Response status: ${response.status}`);\r\n    }\r\n    const json = await response.json();\r\n    const reFormatedJson = reFormatData(json, dataTransformation);\r\n    if (debugMode) {\r\n      // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n      console.log('Data from file:', json);\r\n    }\r\n    if (columnsToArray) {\r\n      const transformedData = transformColumnsToArray(reFormatedJson, columnsToArray);\r\n      if (debugMode) {\r\n        // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n        console.log('Data after transformation of column to array:', transformedData);\r\n      }\r\n      return transformedData;\r\n    }\r\n    return reFormatedJson;\r\n  } catch (error) {\r\n    return error;\r\n  }\r\n}\r\n/**\r\n * Fetches and transforms data from an API, and applies optional transformations.\r\n *\r\n * @param requestURL - The URL of the API to fetch data from.\r\n * @param headers - Optional headers to include in the API request.\r\n * @param columnsToArray - Optional columns configuration to transform certain columns to arrays.\r\n * @param dataTransformation - Optional Handlebars template for data transformation.\r\n * @param debugMode - Optional flag to log data to the console for debugging.\r\n *\r\n * @returns A promise that resolves to the transformed data.\r\n */\r\nexport async function fetchAndTransformDataFromAPI(\r\n  requestURL: string,\r\n  // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n  headers?: any,\r\n  columnsToArray?: ColumnConfigurationDataType[],\r\n  dataTransformation?: string,\r\n  debugMode?: boolean,\r\n) {\r\n  const response = await fetch(requestURL, {\r\n    method: 'GET',\r\n    headers,\r\n  });\r\n  if (!response.ok) {\r\n    throw new Error('Network response was not ok');\r\n  }\r\n  const json = await response.json();\r\n  const reFormatedJson = reFormatData(json, dataTransformation);\r\n  if (debugMode) {\r\n    // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n    console.log('Data from api:', json);\r\n    // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n    console.log('Data from api after transformation:', reFormatedJson);\r\n  }\r\n  if (columnsToArray) {\r\n    const transformedData = transformColumnsToArray(reFormatedJson, columnsToArray);\r\n    if (debugMode) {\r\n      // biome-ignore lint/suspicious/noConsole: This is for debug mode\r\n      console.log('Data after transformation of column to array:', transformedData);\r\n    }\r\n    return transformedData;\r\n  }\r\n  return reFormatedJson;\r\n}\r\n/**\r\n * Fetches and parses data from multiple sources (CSV, JSON, API), and merges the results.\r\n *\r\n * @param dataURL - An array of file settings containing URLs, column configurations, and other settings.\r\n * @param idColumnTitle - Optional title of the ID column to merge data sources by.\r\n *\r\n * @returns A promise that resolves to the merged data from all sources.\r\n */\r\nexport async function fetchAndParseMultipleDataSources(\r\n  dataURL: FileSettingsDataType[],\r\n  idColumnTitle?: string,\r\n) {\r\n  const data = await Promise.all(\r\n    dataURL.map((d) =>\r\n      d.fileType === 'json'\r\n        ? fetchAndParseJSON(d.dataURL as string, d.columnsToArray, d.dataTransformation, false)\r\n        : d.fileType === 'api'\r\n          ? fetchAndTransformDataFromAPI(\r\n              d.dataURL as string,\r\n              d.apiHeaders,\r\n              d.columnsToArray,\r\n              d.dataTransformation,\r\n              false,\r\n            )\r\n          : fetchAndParseCSV(\r\n              d.dataURL as string,\r\n              d.dataTransformation,\r\n              d.columnsToArray,\r\n              false,\r\n              d.delimiter,\r\n              true,\r\n            ),\r\n    ),\r\n  );\r\n  const mergedData = mergeMultipleData(\r\n    // biome-ignore lint/suspicious/noExplicitAny: undefined data type\r\n    data.map((d: any, i: number) => ({\r\n      data: d,\r\n      idColumn: dataURL[i].idColumnName,\r\n    })),\r\n    idColumnTitle,\r\n  );\r\n  return 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