{"version":3,"file":"index.mjs","sources":["../src/types.ts","../src/utils/helpers.ts","../src/utils/dsv-parser.ts","../src/string/stringUtils.ts","../src/utils/json-parser.ts","../src/utils/table.ts"],"sourcesContent":["export type Predicate = (p: T) => boolean;\r\nexport type Selector = (p: T) => V;\r\nexport class ParsingOptions {\r\n delimiter = ',';\r\n skipRows = 0;\r\n keepOriginalHeaders = false;\r\n textFields: string[] = [];\r\n dateFields: (string | string[])[] = [];\r\n numberFields: string[] = [];\r\n booleanFields: string[] = [];\r\n skipUntil?: (tokens: string[]) => boolean;\r\n takeWhile?: (tokens: string[]) => boolean;\r\n parseFields?: {};\r\n elementSelector?: (fieldDescriptions: FieldDescription[], tokens: string[]) => any;\r\n}\r\n\r\nexport type PrimitiveType = string | number | bigint | boolean | null;\r\n\r\n/**\r\n * ScalarType represent a single value types what includes Date and can be null\r\n */\r\nexport type ScalarType = PrimitiveType | Date;\r\n\r\n/**\r\n * Scalar object is a simple object where key is always string and value could be a ScalarType only\r\n * Scalar type includes Date object\r\n */\r\nexport type ScalarObject = Record;\r\n\r\n/**\r\n * PrimitivesObject is a simple object where key is a string and value can be Primitive\r\n * This object can be transfered with REST call. Doesn'r have a Date\r\n */\r\nexport type PrimitivesObject = Record;\r\n\r\n/**\r\n * Commonly used and recognized types\r\n */\r\nexport enum DataTypeName {\r\n String = 'String',\r\n LargeString = 'LargeString',\r\n WholeNumber = 'WholeNumber',\r\n BigIntNumber = 'BigIntNumber',\r\n FloatNumber = 'FloatNumber',\r\n DateTime = 'DateTime',\r\n Date = 'Date',\r\n Boolean = 'Boolean'\r\n}\r\n\r\nexport interface Table {\r\n fieldDataTypes?: DataTypeName[];\r\n fieldNames: string[];\r\n rows: T[][];\r\n}\r\n\r\n/**\r\n * A simple data table structure what provides a most efficient way\r\n * to send data across the wire\r\n */\r\nexport type TableDto = Table;\r\n\r\nexport type ScallarTable = Table;\r\n\r\nexport interface StringsDataTable extends Table {\r\n fieldDescriptions: FieldDescription[];\r\n}\r\n\r\nexport interface FieldDescription {\r\n index: number;\r\n fieldName: string;\r\n isNullable: boolean;\r\n isUnique: boolean;\r\n isObject: boolean;\r\n maxSize?: number;\r\n dataTypeName?: DataTypeName;\r\n}\r\n","import { Selector, FieldDescription, DataTypeName, ScalarType, PrimitiveType } from '../types';\r\n\r\n/**\r\n * Formats selected value to number.\r\n * @private\r\n * @param val Primitive or object.\r\n * @param elementSelector Function invoked per iteration.\r\n */\r\nexport function parseNumber(val: ScalarType, elementSelector?: Selector): number | undefined {\r\n if (elementSelector && typeof elementSelector === 'function') {\r\n val = elementSelector(val);\r\n }\r\n if (val instanceof Date) {\r\n return val.getTime();\r\n }\r\n switch (typeof val) {\r\n case 'string': {\r\n const fV = parseFloat(val);\r\n if (!isNaN(fV)) {\r\n return fV;\r\n }\r\n break;\r\n }\r\n case 'boolean':\r\n return Number(val);\r\n case 'number':\r\n return isNaN(val) ? undefined : val;\r\n }\r\n}\r\n\r\nexport function parseNumberOrNull(value: string | number): number | null {\r\n if (typeof value === 'number') {\r\n return value;\r\n }\r\n\r\n if (!value || typeof value !== 'string') {\r\n return null;\r\n }\r\n\r\n value = value.trim();\r\n\r\n // Just to make sure string contains digits only and '.', ','. Otherwise, parseFloat can incorrectly parse into number\r\n for (let i = value.length - 1; i >= 0; i--) {\r\n const d = value.charCodeAt(i);\r\n if (d < 48 || d > 57) {\r\n // '.' - 46 ',' - 44 '-' - 45(but only first char)\r\n if (d !== 46 && d !== 44 && (d !== 45 || i !== 0)) return null;\r\n }\r\n }\r\n\r\n const res = parseFloat(value.replace(/,/g, ''));\r\n return !isNaN(res) ? res : null;\r\n}\r\n\r\n/**\r\n * More wider datetime parser\r\n * @param value\r\n */\r\nexport function parseDatetimeOrNull(\r\n value: string | Date | number,\r\n format: string | null = null\r\n): Date | null {\r\n format = (format || '').toLowerCase();\r\n if (!value) {\r\n return null;\r\n }\r\n if (value instanceof Date && !isNaN(value.valueOf())) {\r\n return value;\r\n }\r\n\r\n // only string values can be converted to Date\r\n const tpOf = typeof value;\r\n if (tpOf === 'number' || tpOf === 'bigint') {\r\n return new Date(value);\r\n } else if (tpOf !== 'string') {\r\n return null;\r\n }\r\n\r\n value = value as string;\r\n\r\n const strValue = String(value);\r\n if (!strValue.length) {\r\n return null;\r\n }\r\n\r\n const parseMonth = (mm: string): number => {\r\n if (!mm || !mm.length) {\r\n return NaN;\r\n }\r\n\r\n const m = parseInt(mm, 10);\r\n if (!isNaN(m)) {\r\n return m - 1;\r\n }\r\n\r\n // make sure english months are coming through\r\n if (mm.startsWith('jan')) {\r\n return 0;\r\n }\r\n if (mm.startsWith('feb')) {\r\n return 1;\r\n }\r\n if (mm.startsWith('mar')) {\r\n return 2;\r\n }\r\n if (mm.startsWith('apr')) {\r\n return 3;\r\n }\r\n if (mm.startsWith('may')) {\r\n return 4;\r\n }\r\n if (mm.startsWith('jun')) {\r\n return 5;\r\n }\r\n if (mm.startsWith('jul')) {\r\n return 6;\r\n }\r\n if (mm.startsWith('aug')) {\r\n return 7;\r\n }\r\n if (mm.startsWith('sep')) {\r\n return 8;\r\n }\r\n if (mm.startsWith('oct')) {\r\n return 9;\r\n }\r\n if (mm.startsWith('nov')) {\r\n return 10;\r\n }\r\n if (mm.startsWith('dec')) {\r\n return 11;\r\n }\r\n\r\n return NaN;\r\n };\r\n\r\n const correctYear = (yy: number): number => {\r\n if (yy < 100) {\r\n return yy < 68 ? yy + 2000 : yy + 1900;\r\n } else {\r\n return yy;\r\n }\r\n };\r\n\r\n const validDateOrNull = (\r\n yyyy: number,\r\n month: number,\r\n day: number,\r\n hours: number,\r\n mins: number,\r\n ss: number,\r\n ms: number\r\n ): Date | null => {\r\n if (month > 11 || day > 31 || hours >= 60 || mins >= 60 || ss >= 60) {\r\n return null;\r\n }\r\n\r\n if (ms > 1000) {\r\n ms = parseInt(String(ms).substring(0, 3));\r\n }\r\n const dd = new Date(yyyy, month, day, hours, mins, ss, ms);\r\n return !isNaN(dd.valueOf()) ? dd : null;\r\n };\r\n\r\n const strTokens = strValue\r\n .replace('T', ' ')\r\n .replace('Z', ' ')\r\n .replace('.', ' ')\r\n .toLowerCase()\r\n .split(/[: /-]/);\r\n const dt = strTokens.map(s => parseNumberOrNull(s) ?? Number.NaN);\r\n\r\n let d: Date | null = null;\r\n\r\n if (\r\n format.startsWith('mm/dd/yy') ||\r\n format.startsWith('mmm/dd/yy') ||\r\n format.startsWith('mm-dd-yy') ||\r\n format.startsWith('mmm-dd-yy')\r\n ) {\r\n // handle US format\r\n return validDateOrNull(\r\n correctYear(dt[2]),\r\n parseMonth(strTokens[0]),\r\n dt[1],\r\n dt[3] || 0,\r\n dt[4] || 0,\r\n dt[5] || 0,\r\n dt[6] || 0\r\n );\r\n } else if (format.startsWith('yyyymm')) {\r\n return validDateOrNull(\r\n parseInt(value.substring(0, 4)),\r\n parseInt(value.substring(4, 6)) - 1,\r\n value.length > 6 ? parseInt(value.substring(6, 8)) : 1,\r\n 0,\r\n 0,\r\n 0,\r\n 0\r\n );\r\n } else if (\r\n format.startsWith('dd/mm/yy') ||\r\n format.startsWith('dd/mmm/yy') ||\r\n format.startsWith('dd-mm-yy') ||\r\n format.startsWith('dd-mmm-yy')\r\n ) {\r\n return validDateOrNull(\r\n correctYear(dt[2]),\r\n parseMonth(strTokens[1]),\r\n dt[0],\r\n dt[3] || 0,\r\n dt[4] || 0,\r\n dt[5] || 0,\r\n dt[6] || 0\r\n );\r\n } else if (format.startsWith('yyyy-mm')) {\r\n return validDateOrNull(\r\n dt[0],\r\n parseMonth(strTokens[1]),\r\n dt[2] || 1,\r\n dt[3] || 0,\r\n dt[4] || 0,\r\n dt[5] || 0,\r\n dt[6] || 0\r\n );\r\n } else if (format.length) {\r\n throw new Error(`Unrecognized format '${format}'`);\r\n }\r\n\r\n // try ISO first\r\n d = validDateOrNull(dt[0], dt[1] - 1, dt[2], dt[3] || 0, dt[4] || 0, dt[5] || 0, dt[6] || 0);\r\n if (d) {\r\n return d;\r\n }\r\n\r\n // then UK\r\n d = validDateOrNull(\r\n correctYear(dt[2]),\r\n parseMonth(strTokens[1]),\r\n dt[0],\r\n dt[3] || 0,\r\n dt[4] || 0,\r\n dt[5] || 0,\r\n dt[6] || 0\r\n );\r\n if (d) {\r\n return d;\r\n }\r\n\r\n // we can't accept both UK and US format as it is ambiguous\r\n // for US use format parameter e.g. MM/dd/yyyy\r\n // // then US guess\r\n // return validDateOrNull(\r\n // correctYear(dt[2]),\r\n // parseMonth(strTokens[0]),\r\n // dt[1],\r\n // dt[3] || 0,\r\n // dt[4] || 0,\r\n // dt[5] || 0,\r\n // dt[6] || 0\r\n // );\r\n\r\n return null;\r\n}\r\n\r\nexport function parseBooleanOrNull(val: boolean | string): boolean | null {\r\n if (!val) {\r\n return null;\r\n }\r\n if (typeof val === 'boolean') {\r\n return val;\r\n }\r\n\r\n const trulyVals = ['1', 'yes', 'true', 'on'];\r\n const falsyVals = ['0', 'no', 'false', 'off'];\r\n const checkVal = val.toString().toLowerCase().trim();\r\n\r\n if (trulyVals.includes(checkVal)) {\r\n return true;\r\n }\r\n\r\n if (falsyVals.includes(checkVal)) {\r\n return false;\r\n }\r\n\r\n return null;\r\n}\r\n\r\nexport function addDays(dt: Date, daysOffset: number): Date {\r\n if (!dt || !(dt instanceof Date)) {\r\n throw new Error('First parameter must be Date');\r\n }\r\n dt = new Date(dt.valueOf());\r\n dt.setDate(dt.getDate() + daysOffset);\r\n return dt;\r\n}\r\n\r\nexport function addBusinessDays(dt: Date, bDaysOffset: number, holidays?: (Date | string)[]): Date {\r\n const date = parseDatetimeOrNull(dt);\r\n const holidayDates =\r\n holidays\r\n ?.map(d => parseDatetimeOrNull(d))\r\n ?.filter(d => !!d)\r\n ?.map(d => d?.toDateString()) || [];\r\n if (!date) {\r\n throw new Error(`A first parameter to 'addBusinessdays' must be Date`);\r\n }\r\n dt = new Date(date.valueOf());\r\n dt.setDate(dt.getDate() + bDaysOffset);\r\n\r\n // skip saturdays and sundays\r\n if (bDaysOffset < 0) {\r\n while (dt.getDay() === 0 || dt.getDay() === 6 || holidayDates.includes(dt.toDateString())) {\r\n dt.setDate(dt.getDate() - 1);\r\n }\r\n } else {\r\n while (dt.getDay() === 0 || dt.getDay() === 6 || holidayDates.includes(dt.toDateString())) {\r\n dt.setDate(dt.getDate() + 1);\r\n }\r\n }\r\n return dt;\r\n}\r\n\r\nexport function dateToString(d: Date, format?: string): string {\r\n if (!(d instanceof Date)) {\r\n throw new Error(`A first parameter to 'dateToString' must be Date`);\r\n }\r\n\r\n const date = new Date(d.valueOf());\r\n date.setMinutes(date.getMinutes() - date.getTimezoneOffset());\r\n const strDate = date.toISOString().replace('T00:00:00.000Z', '');\r\n\r\n if (format) {\r\n // a quick and dirty way to achive a most used formats\r\n const t = strDate.split(/[.T:Z /-]/);\r\n const f = {\r\n yyyy: t[0],\r\n yy: t[0].slice(2),\r\n mm: t[1],\r\n dd: t[2]\r\n };\r\n\r\n if (format.toLowerCase() === 'dd/mm/yyyy') {\r\n return `${f.dd}/${f.mm}/${f.yyyy}`;\r\n } else if (format.toLowerCase() === 'mm/dd/yyyy') {\r\n return `${f.mm}/${f.dd}/${f.yyyy}`;\r\n } else if (format.toLowerCase() === 'dd/mm/yy') {\r\n return `${f.dd}/${f.mm}/${f.yy}`;\r\n } else if (format.toLowerCase() === 'yyyymmdd') {\r\n return `${f.yyyy}${f.mm}${f.dd}`;\r\n } else if (format.toLowerCase() === 'mm-dd-yyyy') {\r\n return `${f.mm}-${f.dd}-${f.yyyy}`;\r\n } else if (format.toLowerCase() === 'mm-dd-yy') {\r\n return `${f.mm}-${f.dd}-${f.yy}`;\r\n } else if (format.toLowerCase() === 'dd-mm-yyyy') {\r\n return `${f.dd}-${f.mm}-${f.yyyy}`;\r\n } else if (format.toLowerCase() === 'yyyy-mm-dd') {\r\n return `${f.yyyy}-${f.mm}-${f.dd}`;\r\n } else {\r\n throw new Error(`Unsupported format ${format}`);\r\n }\r\n }\r\n\r\n return strDate;\r\n}\r\n\r\nexport function deepClone(obj: any): any {\r\n if (obj == null || obj == undefined) {\r\n return obj;\r\n }\r\n\r\n if (obj instanceof Date) {\r\n return new Date(obj.getTime());\r\n }\r\n\r\n if (Array.isArray(obj)) {\r\n return obj.map(v => deepClone(v));\r\n }\r\n\r\n if (typeof obj === 'object') {\r\n const clone = {} as any;\r\n for (const propName in obj) {\r\n const propValue = obj[propName];\r\n\r\n if (propValue == null || propValue == undefined) {\r\n clone[propName] = propValue;\r\n } else if (propValue instanceof Date) {\r\n clone[propName] = new Date(propValue.getTime());\r\n } else if (Array.isArray(propValue)) {\r\n clone[propName] = propValue.map(v => deepClone(v));\r\n } else if (typeof propValue == 'object') {\r\n clone[propName] = deepClone(propValue);\r\n } else {\r\n clone[propName] = propValue;\r\n }\r\n }\r\n return clone;\r\n }\r\n\r\n return obj;\r\n}\r\n\r\nexport function workoutDataType(\r\n value: ScalarType,\r\n inType: DataTypeName | undefined\r\n): DataTypeName | undefined {\r\n function getRealType(val: ScalarType): DataTypeName {\r\n function processNumber(num: number): DataTypeName {\r\n if (num % 1 === 0) {\r\n return num > 2147483647 ? DataTypeName.BigIntNumber : DataTypeName.WholeNumber;\r\n } else {\r\n return DataTypeName.FloatNumber;\r\n }\r\n }\r\n\r\n let num = null;\r\n let bl = null;\r\n let dt = null;\r\n\r\n switch (typeof val) {\r\n case 'boolean':\r\n return DataTypeName.Boolean;\r\n case 'number':\r\n return processNumber(val);\r\n case 'object':\r\n if (val instanceof Date) {\r\n const dt = val;\r\n return dt.getHours() === 0 && dt.getMinutes() === 0 && dt.getSeconds() === 0\r\n ? DataTypeName.Date\r\n : DataTypeName.DateTime;\r\n }\r\n\r\n return DataTypeName.String;\r\n case 'string':\r\n dt = parseDatetimeOrNull(val);\r\n if (dt) {\r\n return dt.getHours() === 0 && dt.getMinutes() === 0 && dt.getSeconds() === 0\r\n ? DataTypeName.Date\r\n : DataTypeName.DateTime;\r\n }\r\n\r\n num = parseNumberOrNull(val);\r\n if (num !== null) {\r\n return processNumber(num);\r\n }\r\n\r\n bl = parseBooleanOrNull(val);\r\n if (bl !== null) {\r\n return DataTypeName.Boolean;\r\n }\r\n\r\n return val.length > 4000 ? DataTypeName.LargeString : DataTypeName.String;\r\n\r\n default:\r\n return DataTypeName.LargeString;\r\n }\r\n }\r\n\r\n if (value == null || value == undefined) {\r\n return undefined;\r\n }\r\n\r\n // no point to proceed, string is most common type\r\n if (inType === DataTypeName.LargeString) {\r\n return DataTypeName.LargeString;\r\n }\r\n\r\n const realType = getRealType(value);\r\n\r\n if (inType === undefined) {\r\n return realType;\r\n } else {\r\n // normal case. Means all values in column are the same\r\n if (inType === realType) {\r\n return inType;\r\n }\r\n\r\n // date / datetime case\r\n if (\r\n (inType === DataTypeName.Date && realType === DataTypeName.DateTime) ||\r\n (inType === DataTypeName.DateTime && realType === DataTypeName.Date)\r\n ) {\r\n return DataTypeName.DateTime;\r\n }\r\n\r\n // if any of items are string, then it must be string\r\n if (realType === DataTypeName.String) {\r\n return DataTypeName.String;\r\n }\r\n if (inType === DataTypeName.String && realType !== DataTypeName.LargeString) {\r\n return DataTypeName.String;\r\n }\r\n\r\n if (inType === DataTypeName.FloatNumber) {\r\n return DataTypeName.FloatNumber;\r\n }\r\n if (realType === DataTypeName.FloatNumber && inType === DataTypeName.WholeNumber) {\r\n return DataTypeName.FloatNumber;\r\n }\r\n\r\n if (realType === DataTypeName.BigIntNumber) {\r\n return DataTypeName.BigIntNumber;\r\n }\r\n if (inType === DataTypeName.BigIntNumber && realType === DataTypeName.WholeNumber) {\r\n return DataTypeName.BigIntNumber;\r\n }\r\n\r\n if (realType !== inType && realType !== DataTypeName.LargeString) {\r\n return DataTypeName.String;\r\n }\r\n\r\n return DataTypeName.LargeString;\r\n }\r\n\r\n return undefined;\r\n}\r\n\r\n/**\r\n * generates a field descriptions (first level only) that can be used for relational table definition.\r\n * if any properties are Objects, it would use JSON.stringify to calculate maxSize field.\r\n * @param items\r\n */\r\nexport function getFieldsInfo(\r\n items: Record[] | ScalarType[]\r\n): FieldDescription[] {\r\n const resultMap: Record = Object.create(null);\r\n const valuesMap: Record> = Object.create(null);\r\n let index = 0;\r\n\r\n function processItem(\r\n name: string,\r\n value: string | number | bigint | boolean | Date | null\r\n ): void {\r\n let fDesc = resultMap[name];\r\n let valuesSet = valuesMap[name];\r\n\r\n if (valuesSet === undefined) {\r\n valuesSet = valuesMap[name] = new Set();\r\n }\r\n\r\n if (fDesc === undefined) {\r\n fDesc = {\r\n index: index++,\r\n fieldName: name,\r\n isNullable: false,\r\n isObject: false\r\n } as FieldDescription;\r\n resultMap[name] = fDesc;\r\n }\r\n\r\n let strValue: PrimitiveType | null = null;\r\n if (value === null || value === undefined) {\r\n fDesc.isNullable = true;\r\n } else {\r\n strValue =\r\n value instanceof Date\r\n ? dateToString(value)\r\n : typeof value === 'object'\r\n ? JSON.stringify(value)\r\n : String(value);\r\n\r\n if (!fDesc.isObject && !(value instanceof Date)) {\r\n fDesc.isObject = typeof value === 'object';\r\n }\r\n\r\n const newType = workoutDataType(value, fDesc.dataTypeName);\r\n\r\n if (\r\n newType !== fDesc.dataTypeName &&\r\n // special case when datetime can't be date again\r\n !(fDesc.dataTypeName === DataTypeName.DateTime && newType === DataTypeName.Date)\r\n ) {\r\n fDesc.dataTypeName = newType;\r\n }\r\n\r\n if (\r\n (fDesc.dataTypeName == DataTypeName.String ||\r\n fDesc.dataTypeName == DataTypeName.LargeString) &&\r\n strValue.length > (fDesc.maxSize || 0)\r\n ) {\r\n fDesc.maxSize = strValue.length;\r\n }\r\n }\r\n\r\n if (!valuesSet.has(strValue)) {\r\n valuesSet.add(strValue);\r\n }\r\n }\r\n\r\n for (let i = 0; i < items.length; i++) {\r\n const item = items[i];\r\n if (\r\n item !== null &&\r\n item !== undefined &&\r\n typeof item === 'object' &&\r\n !(item instanceof Date) &&\r\n !Array.isArray(item)\r\n ) {\r\n for (const [name, value] of Object.entries(item as Record)) {\r\n processItem(name, value);\r\n }\r\n } else {\r\n processItem('_value_', item as ScalarType);\r\n }\r\n }\r\n\r\n const fields = Object.values(resultMap).sort((a: FieldDescription, b: FieldDescription) =>\r\n a.index > b.index ? 1 : b.index > a.index ? -1 : 0\r\n );\r\n\r\n return fields.map(r => {\r\n r.isUnique = valuesMap[r.fieldName].size === items.length;\r\n return r;\r\n });\r\n}\r\n\r\nexport function processJson(\r\n jsonString: string,\r\n handlePathFunc: (path: (string | number)[], row: number, col: number) => boolean\r\n): void {\r\n if (typeof handlePathFunc !== 'function') {\r\n throw new Error('handlePathFunc is not provided.');\r\n }\r\n\r\n function tokenize(\r\n json: string,\r\n tokenFunc: (token: string, row: number, column: number) => boolean\r\n ): void {\r\n let line = 1,\r\n column = 0;\r\n\r\n let isString = false;\r\n let currentString = '';\r\n let previousToken = '';\r\n\r\n for (let i = 0; i < json.length; i++) {\r\n column++;\r\n const currChar = json[i];\r\n if (currChar === '\\n') {\r\n line++;\r\n column = 0;\r\n continue;\r\n }\r\n\r\n if (currChar === '\"' && json[i - 1] !== '\\\\') {\r\n isString = !isString;\r\n // skip string value and empty strings\r\n if (currentString && previousToken !== ':') {\r\n if (typeof tokenFunc === 'function' && tokenFunc(currentString, line, column)) {\r\n break;\r\n }\r\n previousToken = currentString;\r\n }\r\n currentString = '';\r\n continue;\r\n }\r\n\r\n if (isString) {\r\n currentString += currChar;\r\n } else if (['[', ']', ':', '{', '}', ','].indexOf(currChar) >= 0) {\r\n if (typeof tokenFunc === 'function' && tokenFunc(currChar, line, column)) {\r\n break;\r\n }\r\n previousToken = currentString;\r\n }\r\n }\r\n }\r\n\r\n const currentPath: (string | number)[] = [];\r\n let isNextTokenAKey = false;\r\n\r\n function handleToken(token: string, row: number, column: number): boolean {\r\n const isArrayLevel: () => boolean = () =>\r\n typeof currentPath[currentPath.length - 1] === 'number';\r\n\r\n if (token === '{') {\r\n if (isArrayLevel()) {\r\n (currentPath[currentPath.length - 1] as number)++;\r\n if (handlePathFunc([...currentPath], row, column)) {\r\n return true;\r\n }\r\n }\r\n\r\n isNextTokenAKey = true;\r\n\r\n return false;\r\n }\r\n if (token === '}') {\r\n if (!isNextTokenAKey) {\r\n currentPath.pop();\r\n }\r\n isNextTokenAKey = false;\r\n return false;\r\n }\r\n\r\n if (token === ',') {\r\n if (!isArrayLevel()) {\r\n isNextTokenAKey = true;\r\n currentPath.pop();\r\n }\r\n return false;\r\n }\r\n\r\n if (token === '[') {\r\n currentPath.push(-1);\r\n return false;\r\n }\r\n\r\n if (token === ']') {\r\n currentPath.pop();\r\n return false;\r\n }\r\n\r\n if (isNextTokenAKey) {\r\n isNextTokenAKey = false;\r\n currentPath.push(token);\r\n if (handlePathFunc([...currentPath], row, column)) {\r\n return true;\r\n }\r\n }\r\n\r\n return false;\r\n }\r\n\r\n tokenize(jsonString, handleToken);\r\n}\r\n","import {\r\n parseNumberOrNull,\r\n parseDatetimeOrNull,\r\n workoutDataType,\r\n parseBooleanOrNull,\r\n dateToString\r\n} from './helpers';\r\nimport {\r\n ParsingOptions,\r\n ScalarType,\r\n ScalarObject,\r\n StringsDataTable,\r\n FieldDescription,\r\n DataTypeName\r\n} from '../types';\r\n\r\ntype ParsingContext = {\r\n content: string;\r\n currentIndex: number;\r\n};\r\n\r\nconst EmptySymbol = '_#EMPTY#_';\r\n\r\nfunction getObjectElement(\r\n fieldDescs: FieldDescription[],\r\n tokens: string[],\r\n options: ParsingOptions\r\n): ScalarObject {\r\n const obj = Object.create(null);\r\n for (let i = 0; i < fieldDescs.length; i++) {\r\n const fieldDesc = fieldDescs[i];\r\n const fieldName = fieldDesc.fieldName;\r\n let value: ScalarType = tokens[i];\r\n const dateFields = options?.dateFields?.map(r => (Array.isArray(r) ? r[0] : r)) || [];\r\n\r\n if (options.textFields && options.textFields?.indexOf(fieldName) >= 0) {\r\n value = tokens[i];\r\n } else if (\r\n fieldDesc.dataTypeName === DataTypeName.DateTime ||\r\n fieldDesc.dataTypeName === DataTypeName.Date ||\r\n dateFields.indexOf(fieldName) >= 0\r\n ) {\r\n const ind = dateFields.indexOf(fieldName);\r\n const dtField = ind >= 0 ? options?.dateFields[ind] : [];\r\n const format = Array.isArray(dtField) ? dtField[1] : null;\r\n value = parseDatetimeOrNull(value as string, format || null);\r\n } else if (\r\n fieldDesc.dataTypeName === DataTypeName.WholeNumber ||\r\n fieldDesc.dataTypeName === DataTypeName.FloatNumber ||\r\n fieldDesc.dataTypeName === DataTypeName.BigIntNumber ||\r\n (options.numberFields && options.numberFields.indexOf(fieldName) >= 0)\r\n ) {\r\n value = parseNumberOrNull(value as string);\r\n } else if (\r\n fieldDesc.dataTypeName === DataTypeName.Boolean ||\r\n (options.booleanFields && options.booleanFields.indexOf(fieldName) >= 0)\r\n ) {\r\n value = parseBooleanOrNull(value as string);\r\n }\r\n\r\n obj[fieldName] = value === EmptySymbol ? '' : value;\r\n }\r\n return obj;\r\n}\r\n\r\nfunction nextLineTokens(context: ParsingContext, delimiter = ','): string[] {\r\n const tokens: string[] = [];\r\n let token = '';\r\n\r\n function elementAtOrNull(arr: string, index: number): string | null {\r\n return arr.length > index ? arr[index] : null;\r\n }\r\n\r\n do {\r\n const currentChar = context.content[context.currentIndex];\r\n if (currentChar === '\\r') {\r\n continue;\r\n }\r\n\r\n if (currentChar === '\\n') {\r\n if (context.content[context.currentIndex + 1] === '\\r') {\r\n context.currentIndex++;\r\n }\r\n break;\r\n }\r\n\r\n if (token.length === 0 && currentChar === '\"') {\r\n if (\r\n elementAtOrNull(context.content, context.currentIndex + 1) === '\"' &&\r\n elementAtOrNull(context.content, context.currentIndex + 2) !== '\"'\r\n ) {\r\n // just empty string\r\n token = EmptySymbol;\r\n context.currentIndex++;\r\n } else {\r\n // enumerate till the end of quote\r\n while (context.content[++context.currentIndex] !== '\"') {\r\n token += context.content[context.currentIndex];\r\n\r\n // check if we need to escape \"\"\r\n if (\r\n elementAtOrNull(context.content, context.currentIndex + 1) === '\"' &&\r\n elementAtOrNull(context.content, context.currentIndex + 2) === '\"'\r\n ) {\r\n token += '\"';\r\n context.currentIndex += 2;\r\n }\r\n }\r\n }\r\n } else if (currentChar === delimiter) {\r\n tokens.push(token);\r\n token = '';\r\n } else {\r\n token += currentChar;\r\n }\r\n } while (++context.currentIndex < context.content.length);\r\n\r\n tokens.push(token);\r\n return tokens;\r\n}\r\n\r\nfunction parseLineTokens(content: string, options: ParsingOptions): StringsDataTable {\r\n const ctx = {\r\n content: content,\r\n currentIndex: 0\r\n } as ParsingContext;\r\n content = content || '';\r\n const delimiter = options.delimiter || ',';\r\n\r\n const result = {\r\n fieldDescriptions: [] as FieldDescription[],\r\n rows: [] as ScalarType[][]\r\n } as StringsDataTable;\r\n let lineNumber = 0;\r\n let fieldNames: string[] | null = null;\r\n const uniqueValues: string[][] = [];\r\n\r\n do {\r\n const rowTokens = nextLineTokens(ctx, delimiter);\r\n\r\n // skip if all tokens are empty\r\n if (rowTokens.filter(f => !f || !f.length).length === rowTokens.length) {\r\n lineNumber++;\r\n continue;\r\n }\r\n\r\n // skip rows based skipRows value\r\n if (lineNumber < options.skipRows) {\r\n lineNumber++;\r\n continue;\r\n }\r\n\r\n // skip rows based on skipUntil call back\r\n if (!fieldNames && typeof options.skipUntil === 'function' && !options.skipUntil(rowTokens)) {\r\n lineNumber++;\r\n continue;\r\n }\r\n\r\n if (!fieldNames) {\r\n // fieldName is used as indicator on whether data rows handling started\r\n fieldNames = [];\r\n const fieldDescriptions = [];\r\n\r\n for (let i = 0; i < rowTokens.length; i++) {\r\n // if empty then _\r\n let token = rowTokens[i].trim().length ? rowTokens[i].trim() : '_';\r\n\r\n if (!options.keepOriginalHeaders) {\r\n token = token.replace(/\\W/g, '_');\r\n }\r\n\r\n // just to ensure no dublicated field names\r\n fieldNames.push(fieldNames.indexOf(token) >= 0 ? `${token}_${i}` : token);\r\n\r\n fieldDescriptions.push({\r\n fieldName: fieldNames[fieldNames.length - 1],\r\n isNullable: false,\r\n isUnique: true,\r\n index: i\r\n } as FieldDescription);\r\n\r\n uniqueValues.push([]);\r\n }\r\n\r\n result.fieldDescriptions = fieldDescriptions;\r\n result.fieldNames = fieldNames;\r\n\r\n lineNumber++;\r\n continue;\r\n }\r\n\r\n if (typeof options.takeWhile === 'function' && fieldNames && !options.takeWhile(rowTokens)) {\r\n break;\r\n }\r\n const rowValues: string[] = [];\r\n\r\n // analyze each cell in a row\r\n for (let i = 0; i < Math.min(rowTokens.length, result.fieldDescriptions.length); i++) {\r\n const fDesc = result.fieldDescriptions[i];\r\n let value: string | null = rowTokens[i];\r\n\r\n if (value === null || value === undefined || value.length === 0) {\r\n fDesc.isNullable = true;\r\n } else if (value !== EmptySymbol) {\r\n const newType = workoutDataType(value, fDesc.dataTypeName);\r\n if (newType !== fDesc.dataTypeName) {\r\n fDesc.dataTypeName = newType;\r\n }\r\n\r\n if (\r\n (fDesc.dataTypeName == DataTypeName.String ||\r\n fDesc.dataTypeName == DataTypeName.LargeString) &&\r\n String(value).length > (fDesc.maxSize || 0)\r\n ) {\r\n fDesc.maxSize = String(value).length;\r\n }\r\n }\r\n\r\n if (fDesc.isUnique) {\r\n if (uniqueValues[i].indexOf(value) >= 0) {\r\n fDesc.isUnique = false;\r\n } else {\r\n uniqueValues[i].push(value);\r\n }\r\n }\r\n\r\n if (value === EmptySymbol) {\r\n value =\r\n fDesc.dataTypeName === DataTypeName.String ||\r\n fDesc.dataTypeName === DataTypeName.LargeString\r\n ? ''\r\n : null;\r\n } else if (!value.length) {\r\n value = null;\r\n }\r\n rowValues.push(value as string);\r\n }\r\n\r\n // no need for null or empty objects\r\n result.rows.push(rowValues);\r\n lineNumber++;\r\n } while (++ctx.currentIndex < ctx.content.length);\r\n\r\n result.fieldDataTypes = result.fieldDescriptions.map(f => f.dataTypeName as DataTypeName);\r\n return result;\r\n}\r\n\r\nexport function parseCsv(content: string, options?: ParsingOptions): ScalarObject[] {\r\n content = content || '';\r\n options = Object.assign(new ParsingOptions(), options || {});\r\n if (!content.length) {\r\n return [];\r\n }\r\n\r\n const table = parseLineTokens(content, options || new ParsingOptions());\r\n\r\n const result: ScalarObject[] = [];\r\n for (let i = 0; i < table.rows.length; i++) {\r\n const obj =\r\n typeof options.elementSelector === 'function'\r\n ? options.elementSelector(table.fieldDescriptions, table.rows[i] as string[])\r\n : getObjectElement(table.fieldDescriptions, table.rows[i] as string[], options);\r\n\r\n if (obj) {\r\n // no need for null or empty objects\r\n result.push(obj);\r\n }\r\n }\r\n\r\n return result;\r\n}\r\n\r\nexport function parseCsvToTable(content: string, options?: ParsingOptions): StringsDataTable {\r\n content = content || '';\r\n\r\n if (!content.length) {\r\n return {} as StringsDataTable;\r\n }\r\n\r\n return parseLineTokens(content, options || new ParsingOptions());\r\n}\r\n\r\nexport function toCsv(array: ScalarObject[], delimiter = ','): string {\r\n array = array || [];\r\n\r\n const headers: string[] = [];\r\n\r\n // workout all headers\r\n for (const item of array) {\r\n for (const name in item) {\r\n if (headers.indexOf(name) < 0) {\r\n headers.push(name);\r\n }\r\n }\r\n }\r\n\r\n // create a csv string\r\n const lines = array.map(item => {\r\n const values: string[] = [];\r\n for (const name of headers) {\r\n let value: ScalarType = item[name];\r\n if (value instanceof Date) {\r\n value = dateToString(value);\r\n } else if (value && typeof value === 'object') {\r\n value = `\"${JSON.stringify(value).replace(new RegExp('\"', 'g'), '\"\"')}\"`;\r\n } else if (\r\n typeof value === 'string' &&\r\n (value.indexOf(delimiter) >= 0 || value.indexOf('\"') >= 0)\r\n ) {\r\n // excel style csv\r\n value = value.replace(new RegExp('\"', 'g'), '\"\"');\r\n value = `\"${value}\"`;\r\n }\r\n value = value !== null && value !== undefined ? value : '';\r\n values.push(String(value));\r\n }\r\n return values.join(delimiter);\r\n });\r\n lines.unshift(headers.join(delimiter));\r\n\r\n return lines.join('\\n');\r\n}\r\n","export function formatCamelStr(str = ''): string {\r\n return str\r\n .replace(/^\\w/, c => c.toUpperCase())\r\n .replace(/([a-z0-9])([A-Z])/g, '$1 $2')\r\n .replace(/_/g, ' ');\r\n}\r\n\r\nexport function replaceAll(text: string, searchValue: string, replaceValue = ''): string {\r\n return text.replace(new RegExp(searchValue, 'g'), replaceValue || '');\r\n}\r\n\r\n/**\r\n * trims characters from the left\r\n * @param text text to trim\r\n * @param characters character to trim\r\n * @returns trimmed string\r\n */\r\nexport function trimStart(text: string, characters = ' \\n\\t\\r'): string {\r\n if (!text) {\r\n return text;\r\n }\r\n \r\n let startIndex = 0;\r\n while (characters.indexOf(text.charAt(startIndex)) >= 0) {\r\n startIndex++;\r\n }\r\n return text.substring(startIndex);\r\n}\r\n\r\n/**\r\n * trims characters from the right\r\n * @param text text to trim\r\n * @param characters character to trim\r\n * @returns trimmed string\r\n */\r\nexport function trimEnd(text: string, characters = ' \\n\\t\\r'): string {\r\n if (!text) {\r\n return text;\r\n }\r\n\r\n let endIndex = text.length;\r\n while (characters.indexOf(text.charAt(endIndex - 1)) >= 0) {\r\n endIndex--;\r\n }\r\n return text.substring(0, endIndex);\r\n}\r\n\r\n/**\r\n * trims characters from both sides\r\n * @param text text to trim\r\n * @param characters character to trim\r\n * @returns trimmed string\r\n */\r\nexport function trim(text: string, characters = ' \\n\\t\\r'): string {\r\n return trimStart(trimEnd(text, characters), characters);\r\n}\r\n\r\n/**\r\n * Splits string into array of tokens based on a separator(one or many).\r\n * Also, you can define open close brackets.\r\n * e.g. split('field1=func(a,b,c),field2=4', ',', ['()'])\r\n * // result = [\"field1=func(a,b,c)\", \"field2=4\"]\r\n * @param text Text to split\r\n * @param separator\r\n * @param openClose\r\n * @returns\r\n */\r\nexport function split(text: string, separator = ',', openClose?: string[]): string[] {\r\n const res: string[] = [];\r\n\r\n if (!text) {\r\n return res;\r\n }\r\n\r\n openClose = openClose || [];\r\n let index = -1;\r\n\r\n let token = '';\r\n while (++index < text.length) {\r\n let currentChar = text[index];\r\n\r\n const oIndex = openClose.findIndex(s => s[0] === currentChar);\r\n if (oIndex >= 0) {\r\n token += text[index];\r\n let innerBrackets = 0;\r\n while (text[++index] !== openClose[oIndex][1] || innerBrackets) {\r\n currentChar = text[index];\r\n token += currentChar;\r\n\r\n if (currentChar === openClose[oIndex][0]) {\r\n innerBrackets++;\r\n }\r\n\r\n if (currentChar === openClose[oIndex][1]) {\r\n innerBrackets--;\r\n }\r\n\r\n if (index + 1 === text.length) {\r\n throw new Error(`Closing bracket is missing`);\r\n }\r\n }\r\n token += text[index];\r\n continue;\r\n }\r\n\r\n if (separator.includes(currentChar)) {\r\n res.push(token);\r\n token = '';\r\n } else {\r\n token += currentChar;\r\n }\r\n }\r\n\r\n res.push(token);\r\n\r\n return res;\r\n}\r\n","import { trim } from '../string';\r\n\r\nexport class JSONParser {\r\n private readonly whitespaces = ' \\n\\r\\t';\r\n private ignoreWhiteSpace = false;\r\n private token = '';\r\n private openObjectCount = 0;\r\n private openArrayCount = 0;\r\n private count = 0;\r\n private firstChar = '';\r\n\r\n private isString = false;\r\n private isKeyCollector = false;\r\n private prevChar = '';\r\n private itemKey = '';\r\n private isObjectMap = false;\r\n\r\n processJsonItems(ch: string, processCallback: (obj: string, key: string | number) => void): void {\r\n if (!this.firstChar) {\r\n // ignore begining whitespaces\r\n if (!ch.trim().length) {\r\n return;\r\n }\r\n this.firstChar = ch;\r\n if (this.firstChar === '{') {\r\n this.isKeyCollector = true;\r\n this.isObjectMap = true;\r\n }\r\n return;\r\n }\r\n\r\n if (this.ignoreWhiteSpace && this.whitespaces.indexOf(ch) >= 0) {\r\n return;\r\n }\r\n\r\n if (!this.isString && ch === '{') {\r\n this.openObjectCount++;\r\n } else if (!this.isString && ch === '}') {\r\n this.openObjectCount--;\r\n } else if (!this.isString && ch === '[') {\r\n this.openArrayCount++;\r\n } else if (!this.isString && ch === ']') {\r\n this.openArrayCount--;\r\n } else if (!this.isString && this.isKeyCollector && ch === ':') {\r\n this.itemKey = this.token;\r\n this.token = '';\r\n this.isKeyCollector = false;\r\n return;\r\n } else if (ch === '\"' && (this.prevChar !== '\\\\' || this.token.endsWith('\\\\\\\\'))) {\r\n this.isString = !this.isString;\r\n }\r\n\r\n const objectDone =\r\n !this.isKeyCollector && this.openArrayCount === 0 && this.openObjectCount === 0;\r\n\r\n if (objectDone && ch === ',') {\r\n return;\r\n }\r\n\r\n this.token += ch;\r\n this.prevChar = ch;\r\n\r\n if (objectDone && this.token.trim()) {\r\n const key = this.itemKey ? trim(this.itemKey, `\\n\\t ,\"'`) : this.count;\r\n processCallback(this.token, key);\r\n\r\n if (this.isObjectMap) {\r\n this.isKeyCollector = true;\r\n }\r\n\r\n this.count++;\r\n this.itemKey = '';\r\n this.token = '';\r\n }\r\n }\r\n}\r\n","import { ScalarObject, PrimitiveType, TableDto, DataTypeName } from '../types';\r\nimport { parseDatetimeOrNull, dateToString } from './helpers';\r\n\r\n/**\r\n * Get JSON type array for tabel type array.\r\n * @param rowsOrTable Table data or Array of values .\r\n * @param fieldNames Column names. If not provided then, it will be auto generated\r\n * @param fieldDataTypes Column names\r\n */\r\nexport function fromTable(\r\n rowsOrTable: PrimitiveType[][] | TableDto,\r\n fieldNames?: string[],\r\n fieldDataTypes?: DataTypeName[]\r\n): ScalarObject[] {\r\n const table = rowsOrTable as TableDto;\r\n const rows = table?.rows || rowsOrTable || [];\r\n\r\n if (!rows.length) {\r\n // return empty array\r\n return [];\r\n }\r\n\r\n fieldNames = table?.fieldNames || fieldNames || rows[0].map((v, i) => `Field${i}`);\r\n fieldDataTypes = table?.fieldDataTypes || fieldDataTypes || [];\r\n\r\n const values: ScalarObject[] = [];\r\n for (const row of rows) {\r\n const value: ScalarObject = {};\r\n for (let i = 0, len = fieldNames.length; i < len; i++) {\r\n const fieldName = fieldNames[i];\r\n const dataType = fieldDataTypes.length ? fieldDataTypes[i] : null;\r\n value[fieldName] =\r\n (dataType === DataTypeName.DateTime || dataType === DataTypeName.Date) && row[i]\r\n ? parseDatetimeOrNull(row[i] as string | Date)\r\n : row[i];\r\n }\r\n values.push(value);\r\n }\r\n\r\n return values;\r\n}\r\n\r\n/**\r\n * Gets table data from JSON type array.\r\n * @param array\r\n * @param rowsFieldName\r\n * @param fieldsFieldName\r\n */\r\nexport function toTable(values: ScalarObject[]): TableDto {\r\n const tableDto: TableDto = {\r\n fieldNames: [],\r\n rows: []\r\n };\r\n\r\n if (!values?.length) {\r\n return tableDto;\r\n }\r\n\r\n const fN = new Set();\r\n values.forEach(v => {\r\n Object.keys(v).forEach(k => fN.add(k));\r\n });\r\n\r\n tableDto.fieldNames = Array.from(fN.values());\r\n tableDto.rows = values.map(rowValues => {\r\n return tableDto.fieldNames.reduce((r, field) => {\r\n const v = rowValues[field];\r\n const val = v instanceof Date ? dateToString(v) : v;\r\n r.push(val as PrimitiveType);\r\n return r;\r\n }, [] as PrimitiveType[]);\r\n });\r\n return 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