Thursday, January 16, 2014

dotPath

int item = Math.random() * 100000

def doCode = { return 'hi' }
Map $_ = [a: 1, b: ['c d': [z: item, doit: doCode]]]

use (UtilCategory) {

    assert $_.dotPath() == [a: 1, b: ['c d': [z: item, doit: doCode]]]
    assert $_.dotPath('') == [a: 1, b: ['c d': [z: item, doit: doCode]]]
    assert $_.dotPath(null) == [a: 1, b: ['c d': [z: item, doit: doCode]]]
    
    assert $_.dotPath('a') == 1
    assert $_.dotPath('b.c d.z') == item
    assert $_.dotPath('b/c d/z', '/') == item
    
    assert $_.dotPath('b.c d.doit')() == 'hi'
    
    assert $_.dotPath('b.c d.y') == null
    assert $_.dotPath('b.c d.z.z') == null
    assert $_.dotPath('b.c d.z.z.') == null
    assert 1.dotPath('toString') == null

}

//========================================

@Category(Object)
class UtilCategory {
    def dotPath(String path = '', String delimiter = /\./) {
        Object self = this
        
        if (!path) return self
    
        try {
            return path.split(/$delimiter/).inject(self) { x, i->
               x = x[i]
            }
        }
        catch (Exception ex) { return null }
    }
}

Wednesday, January 15, 2014

collectEntries - List to Map

List a = (1..50).toList()

Closure remainder = { return (it % 8) }

Map b = a.collectEntries{ i-> [(i.toString()) : remainder(i)]}

assert b['5'] == 5
assert b['7'] == 7
assert b['8'] == 0
assert b['17'] == 1
String last = b.keySet()[-1]
assert b[last] == 2 // [50:2]



a = ('a'..'z').toList()

Closure mult = { return (it * 8) }

b = a.collectEntries{ i-> [(i.toString()) : mult(i)]}

assert b['a'] == 'a'*8
last = b.keySet()[-1]
assert b[last] == 'z'*8 // [z:zzzzzzzz]

csv-2-List for groovycsv

@Grab('com.xlson.groovycsv:groovycsv:1.0')
import com.xlson.groovycsv.CsvParser
 
// a normally parsed csv can only be searched through ONCE
// this is used to create a "re-searchable" object (List of Maps)
List csv2List( String filePath, boolean shouldTrim = true ) {
    new File( filePath ).withReader { r ->
        new CsvParser().parse( r ).with { csv ->
            return csv.collect { line ->
                line.columns.collectEntries { c, v ->
                    [ c, (shouldTrim ? line[ c ].trim() : line[ c ]) ]
                }
            }
        }
    }
}