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xlconverter
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Convert Excel File to Objects
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xlconverter
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Nowdays everything is easly maintain if we are dealing with objects .As I have face many problems while in uploading excel file ,taking data from excel and play with each Cell of excel file .This Converter is just a interface which helps to get objects from excel Or excel from objects. link https://github.com/hardy12994/xlconverter Here are the two Converters and Some Getters (define below) present in it : - Excel to Objects - Objects to Excel ### Excel to Objects ```sh let xlconverter = require('xlconverter'); let path="abv/cac/ac/ac.xlsx"; let sheet="sheet1"; // xlToObjects, will provide objects of all the sheets present in xl sheet; xlconverter.xlToObjects(path, function (err, data) { console.log(err); console.log(data); }); /** * data- * * [{},{},{}] * // object as rows */ // xlToObjectsOfSheet, will provide objects of perticular sheet present in xl sheet; xlconverter.xlToObjectsOfSheet(path, sheet, function (err, data) { console.log(err); console.log(data); }); /** * data - * { * sheet1: [{},{},{}], * sheet2: [{},{},{}] * } * // object as rows */ ``` ### Objects to Excel ```sh let headers=["name","age"]; let rows=[{ name:"hardy",age:21 },{ name:"hardy",age:21 }]; let path="abc/cac/"; let fileName="myNewSheet"; //.xlsx is by default let sheetName="sheet1"; xlconverter.objectsToXl(headers, rows, path, fileName, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * if error -`sheetName` sheet not created * data - * `sheetName` sheet successfully created. */ ``` ## Getters We can use Excel Sheet as a very small Database as we can do Extractions from that by putting some queries, The query can be made in form of Objects, Arrays Thing can be achive like: - Any Perticular Row. - Any Perticular Column. - Get Number of Rows. - Get Number of Columns. - Get Data as Objects of Perticular Columns. ### Get Row - Accept Query as Object Eg- `{name:"Jhon",age:"21"}`. - `and` type of query will be done. - Return Single Row which matches both Conditions `First`. ```sh let rowQuery= {name:"Jhon",age:"21"}; let filePath="abc/cac/"; let sheetName="sheet1"; xlconverter.getters.row(filePath, rowQuery, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * data- * * {name:"Jhon", age:"21", f_name:"D_Jhon"} * // object as rows */ ``` ### Get Rows - Accept Parameters as Object Eg- `{name:"Jhon",age:"21"}`. - `and` type of query will be done. - Return Multiple Rows which matches both Conditions. ```sh let rowQuery= {name:"Jhon",age:"21"}; let filePath="abc/cac/"; let sheetName="sheet1"; xlconverter.getters.rows(filePath, rowQuery, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * data- * * [{name:"Jhon", age:"21", f_name:"D_Jhon"}, * {name:"Jhon", age:"21", f_name:"D_Jhonee"}] * // object as rows */ ``` ### Get Column - Accept Parameters as String Eg- `"name"`. - Return Array of Strings which is Present in that Column. ```sh let colQuery= "name"; let filePath="abc/cac/"; let sheetName="sheet1"; xlconverter.getters.coloumn(filePath, colQuery, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * data- * * ["Jhon","Jhon2","Jhon3"] * // as coloumn cells */ ``` ### Get Columns - Accept Parameters as String in Array Eg- `["name","age"]`. - Return Object with Keys name and age and both of them have Array of Strings which is Present in respective Column. ```sh let colQuery= ["name","age"]; let filePath="abc/cac/"; let sheetName="sheet1"; xlconverter.getters.coloumns(filePath, colQuery, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * data- * * { * name:["Jhon","Jhon2","Jhon3"], * age:[21,33,13] * } * // as coloumn cells */ ``` ### Get Rows from Selective Columns - Accept Parameters as String in Array Eg- `["name","age"]`. - Return all Rows with Selected Columns name and age as Objects in Array - Getting Selective Coloumns of Rows. ```sh let colQuery= ["name","age"]; let filePath="abc/cac/"; let sheetName="sheet1"; xlconverter.getters.selectiveColoumnsOfRows(filePath, colQuery, sheetName, function (err, data) { console.log(err); console.log(data); }); /** * data- * * [ * {name: "hardy", age: 12}, * {name: "pery", age: 41}, * {name: "bob", age: 42} * ] * // */ ``` **N O T E** : - `callback` function is required in all methods. - `getters` are using `xlToObjectsOfSheet` function that's why sheet name is required. **Contributions are most wellcome**