This is the sample of the txt file.
route_id,agency_id,route_short_name,route_long_name,route_desc,route_type,route_url,route_color,route_text_color
53739,,11,11TH AVENUE,,3,,3333CC,FFFFFF
53740,,17,1700 SOUTH,,3,,3333CC,FFFFFF 53741,,2,200 SOUTH,,3,,3333CC,FFFFFF
first line shows the name of the elements and each components are separated by commas.
I want to create an array of dictionaries that looks like this:
[ ["route_id":"53739", "agency_id": "", "route_short_name":"17"......]
["route_id":"53740", "agency_id":""...... ]]
I guess you got the idea.
Source : http://pjeremymalouf.com/scan-a-csv-into-swift/
import Foundation
class CSVScanner {
class func arrayOfDictionaryFromFile(#columnNames:Array<String>, fromFile theFileName:String, withFunction theFunction:(Dictionary<String, String>)->()) {
if let strBundle = NSBundle.mainBundle().pathForResource(theFileName, ofType: "csv") {
var encodingError:NSError? = nil
if let fileObject = NSString(contentsOfFile: strBundle, encoding: NSUTF8StringEncoding, error: &encodingError){
var fileObjectCleaned = fileObject.stringByReplacingOccurrencesOfString("\r", withString: "\n")
fileObjectCleaned = fileObjectCleaned.stringByReplacingOccurrencesOfString("\n\n", withString: "\n")
let objectArray = fileObjectCleaned.componentsSeparatedByString("\n")
for anObjectRow in objectArray {
let objectColumns = anObjectRow.componentsSeparatedByString(",")
var aDictionaryEntry = Dictionary<String, String>()
var columnIndex = 0
for anObjectColumn in objectColumns {
aDictionaryEntry[columnNames[columnIndex]] = anObjectColumn.stringByReplacingOccurrencesOfString("\"", withString: "", options: NSStringCompareOptions.CaseInsensitiveSearch, range: nil)
columnIndex++
}
if (aDictionaryEntry.count > 1) {
theFunction(aDictionaryEntry)
}
}
}
}
}
}
How to use it :
var myCSVContents = Array<Dictionary<String, String>>()
CSVScanner.runFunctionOnRowsFromFile(["title", "body", "category"], withFileName: "fileName.csv", withFunction: {
(aRow:Dictionary<String, String>) in
myCSVContents.append(aRow)
})
Make sure to save your file as .csv or adapt code to look for .txt
I recommend you to make your text file with JSON format and parse it. I think it will be your easier way.
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