how to Create scala Map from list of optional items? - scala

Scala create the Map from an list of Option emelents?
myMap = (0 to r.numRows - 1).map { i =>
if (Option(r.getValue(i,"Name")).isDefined)
(r.getValue(i, "Name")) -> (r.getValue(i, "isAvailable").toString)
}.toMap
foo(myMap) //here At this point, I'm geting the exception
I have tried above code but not compiling:
Exception:
Error:(158, 23) Cannot prove that Any <:< (T, U).
}.toMap
^

Maybe try this code:
val myMap = (0 until r.numRows) flatMap { i =>
for {
name <- Option(r.getValue(i, "Name"))
available = r.getValue(i, "isAvailable").toString
} yield (name, available)
}.toMap
foo(myMap)
Your problem is most likely that you use if without else, and if is an expression in scala, which means it evaluates to something.
if (2 > 3) true
is equivalent to
if (2 > 3) true else ()
so the type is the common supertype of Unit and Boolean which is Any and this is the error you get.
Note that you can replace to and -1 with until which does the same thing but is more readable.
You shouldn't really check Option with isDefined and perform action on result if that's true, to do this you use map operation.
To explain my implementation a little: the for part will evaluate to Option[(String, String)], and will contain your tuple if "Name" key was present, otherways None. Conceptually, flatMap will first change your range of indices to a sequence of Option[(String, String)], and then flatten it, i.e. remove all Nones and unwrap all Somes.
If you want to check "isAvailable" for null as well, you can do similar thing
for {
name <- Option(r.getValue(i, "Name"))
available <- Option(r.getValue(i, "isAvailable"))
} yield (name, available.toString)

Related

Convert Seq[Try[Option(String, Any)]] into Try[Option[Map[String, Any]]]

How to conveniently convert Seq[Try[Option[String, Any]]] into Try[Option[Map[String, Any]]].
If any Try before convert throws an exception, the converted Try should throw as well.
Assuming that the input type has a tuple inside the Option then this should give you the result you want:
val in: Seq[Try[Option[(String, Any)]]] = ???
val out: Try[Option[Map[String,Any]]] = Try(Some(in.flatMap(_.get).toMap))
If any of the Trys is Failure then the outer Try will catch the exception raised by the get and return Failure
The Some is there to give the correct return type
The get extracts the Option from the Try (or raises an exception)
Using flatMap rather than map removes the Option wrapper, keeping all Some values and discaring None values, giving Seq[(String, Any)]
The toMap call converts the Seq to a Map
Here is something that's not very clean but may help get you started. It assumes Option[(String,Any)], returns the first Failure if there are any in the input Seq and just drops None elements.
foo.scala
package foo
import scala.util.{Try,Success,Failure}
object foo {
val x0 = Seq[Try[Option[(String, Any)]]]()
val x1 = Seq[Try[Option[(String, Any)]]](Success(Some(("A",1))), Success(None))
val x2 = Seq[Try[Option[(String, Any)]]](Success(Some(("A",1))), Success(Some(("B","two"))))
val x3 = Seq[Try[Option[(String, Any)]]](Success(Some(("A",1))), Success(Some(("B","two"))), Failure(new Exception("bad")))
def f(x: Seq[Try[Option[(String, Any)]]]) =
x.find( _.isFailure ).getOrElse( Success(Some(x.map( _.get ).filterNot( _.isEmpty ).map( _.get ).toMap)) )
}
Example session
bash-3.2$ scalac foo.scala
bash-3.2$ scala -classpath .
Welcome to Scala 2.13.1 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_66).
Type in expressions for evaluation. Or try :help.
scala> import foo.foo._
import foo.foo._
scala> f(x0)
res0: scala.util.Try[Option[Equals]] = Success(Some(Map()))
scala> f(x1)
res1: scala.util.Try[Option[Equals]] = Success(Some(Map(A -> 1)))
scala> f(x2)
res2: scala.util.Try[Option[Equals]] = Success(Some(Map(A -> 1, B -> two)))
scala> f(x3)
res3: scala.util.Try[Option[Equals]] = Failure(java.lang.Exception: bad)
scala> :quit
If you're willing to use a functional support library like Cats then there are two tricks that can help this along:
Many things like List and Try are traversable, which means that (if Cats's implicits are in scope) they have a sequence method that can swap two types, for example converting List[Try[T]] to Try[List[T]] (failing if any of the items in the list are failure).
Almost all of the container types support a map method that can operate on the contents of a container, so if you have a function from A to B then map can convert a Try[A] to a Try[B]. (In Cats language they are functors but the container-like types in the standard library generally have map already.)
Cats doesn't directly support Seq, so this answer is mostly in terms of List instead.
Given that type signature, you can iteratively sequence the item you have to in effect push the list type down one level in the type chain, then map over that container to work on its contents. That can look like:
import cats.implicits._
import scala.util._
def convert(listTryOptionPair: List[Try[Option[(String, Any)]]]): Try[
Option[Map[String, Any]]
] = {
val tryListOptionPair = listTryOptionPair.sequence
tryListOptionPair.map { listOptionPair =>
val optionListPair = listOptionPair.sequence
optionListPair.map { listPair =>
Map.from(listPair)
}
}
}
https://scastie.scala-lang.org/xbQ8ZbkoRSCXGDJX0PgJAQ has a slightly more complete example.
One way to approach this is by using a foldLeft:
// Let's say this is the object you're trying to convert
val seq: Seq[Try[Option[(String, Any)]]] = ???
seq.foldLeft(Try(Option(Map.empty[String, Any]))) {
case (acc, e) =>
for {
accOption <- acc
elemOption <- e
} yield elemOption match {
case Some(value) => accOption.map(_ + value)
case None => accOption
}
}
You start off with en empty Map. You then use a for comprehension to go through the current map and element and finally you add a new tuple in the map if present.
The following solutions is based on this answer to the point that almost makes the question a duplicate.
Method 1: Using recursion
def trySeqToMap1[X,Y](trySeq : Seq[Try[Option[(X, Y)]]]) : Try[Option[Map[X,Y]]] = {
def helper(it : Iterator[Try[Option[(X,Y)]]], m : Map[X,Y] = Map()) : Try[Option[Map[X,Y]]] = {
if(it.hasNext) {
val x = it.next()
if(x.isFailure)
Failure(x.failed.get)
else if(x.get.isDefined)
helper(it, m + (x.get.get._1-> x.get.get._2))
else
helper(it, m)
} else Success(Some(m))
}
helper(trySeq.iterator)
}
Method 2: directly pattern matching in case you are able to get a stream or a List instead:
def trySeqToMap2[X,Y](trySeq : LazyList[Try[Option[(X, Y)]]], m : Map[X,Y]= Map.empty[X,Y]) : Try[Option[Map[X,Y]]] =
trySeq match {
case Success(Some(h)) #:: tail => trySeqToMap2(tail, m + (h._1 -> h._2))
case Success(None) #:: tail => tail => trySeqToMap2(tail, m)
case Failure(f) #:: _ => Failure(f)
case _ => Success(Some(m))
}
note: this answer was previously using different method signatures. It has been updated to conform to the signature given in the question.

How to define case class with a list of tuples and access the tuples in scala

I have a case class with a parameter a which is a list of int tuple. I want to iterate over a and define operations on a.
I have tried the following:
case class XType (a: List[(Int, Int)]) {
for (x <- a) {
assert(x._2 >= 0)
}
def op(): XType = {
for ( x <- XType(a))
yield (x._1, x._2)
}
}
However, I am getting the error:
"Value map is not a member of XType."
How can I access the integers of tuples and define operations on them?
You're running into an issue with for comprehensions, which are really another way of expressing things like foreach and map (and flatMap and withFilter/filter). See here and here for more explanation.
Your first for comprehension (the one with asserts) is equivalent to
a.foreach(x => assert(x._2 >= 0))
a is a List, x is an (Int, Int), everything's good.
However, the second on (in op) translates to
XType(a).map(x => x)
which doesn't make sense--XType doesn't know what to do with map, like the error said.
An instance of XType refers to its a as simply a (or this.a), so a.map(x => x) would be just fine in op (and then turn the result into a new XType).
As a general rule, for comprehensions are handy for nested maps (or flatMaps or whatever), rather than as a 1-1 equivalent for for loops in other languages--just use map instead.
You can access to the tuple list by:
def op(): XType = {
XType(a.map(...))
}

How to extract values from Some() in Scala

I have Some() type Map[String, String], such as
Array[Option[Any]] = Array(Some(Map(String, String)
I want to return it as
Array(Map(String, String))
I've tried few different ways of extracting it-
Let's say if
val x = Array(Some(Map(String, String)
val x1 = for (i <- 0 until x.length) yield { x.apply(i) }
but this returns IndexedSeq(Some(Map)), which is not what I want.
I tried pattern matching,
x.foreach { i =>
i match {
case Some(value) => value
case _ => println("nothing") }}
another thing I tried that was somewhat successful was that
x.apply(0).get.asInstanceOf[Map[String, String]]
will do something what I want, but it only gets 0th index of the entire array and I'd want all the maps in the array.
How can I extract Map type out of Some?
If you want an Array[Any] from your Array[Option[Any]], you can use this for expression:
for {
opt <- x
value <- opt
} yield value
This will put the values of all the non-empty Options inside a new array.
It is equivalent to this:
x.flatMap(_.toArray[Any])
Here, all options will be converted to an array of either 0 or 1 element. All these arrays will then be flattened back to one single array containing all the values.
Generally, the pattern is either to use transformations on the Option[T], like map, flatMap, filter, etc.
The problem is, we'll need to add a type cast to retrieve the underlying Map[String, String] from Any. So we'll use flatten to remove any potentially None types and unwrap the Option, and asInstanceOf to retreive the type:
scala> val y = Array(Some(Map("1" -> "1")), Some(Map("2" -> "2")), None)
y: Array[Option[scala.collection.immutable.Map[String,String]]] = Array(Some(Map(1 -> 1)), Some(Map(2 -> 2)), None)
scala> y.flatten.map(_.asInstanceOf[Map[String, String]])
res7: Array[Map[String,String]] = Array(Map(1 -> 1), Map(2 -> 2))
Also when you talk just about single value you can try Some("test").head and for null simply Some(null).flatten

Pattern Matching tuples in Scala

Trying to get a handle on pattern matching here-- coming from a C++/Java background it's very foreign to me.
The point of this branch is to check each member of a List d of tuples [format of (string,object). I want to define three cases.
1) If the counter in this function is larger than the size of the list (defined in another called acc), I want to return nothing (because there is no match)
2) If the key given in the input matches a tuple in the list, I want to return its value (or, whatever is stored in the tuple._2).
3) If there is no match, and there is still more list to iterate, increment and continue.
My code is below:
def get(key:String):Option[Any] = {
var counter: Int = 0
val flag: Boolean = false
x match {
case (counter > acc) => None
case ((d(counter)._1) == key) => d(counter)._2
case _ => counter += 1
}
My issue here is while the first case seems to compile correctly, the second throws an error:
:36: error: ')' expected but '.' found.
case ((d(counter)._1) == key) => d(counter)._2
The third as well:
scala> case _ => counter += 1
:1: error: illegal start of definition
But I assume it's because the second isn't correct. My first thought is that I'm not comparing tuples correctly, but I seem to be following the syntax for indexing into a tuple, so I'm stumped. Can anyone steer me in the right direction?
Hopefully a few things to clear up your confusion:
Matching in scala follows this general template:
x match {
case SomethingThatXIs if(SomeCondition) => SomeExpression
// rinse and repeat
// note that `if(SomeCondition)` is optional
}
It looks like you may have attempted to use the match/case expression as more of an if/else if/else kind of block, and as far as I can tell, the x doesn't really matter within said block. If that's the case, you might be fine with something like
case _ if (d(counter)._1 == key) => d(counter)._2
BUT
Some info on Lists in scala. You should always think of it like a LinkedList, where indexed lookup is an O(n) operation. Lists can be matched with a head :: tail format, and Nil is an empty list. For example:
val myList = List(1,2,3,4)
myList match {
case first :: theRest =>
// first is 1, theRest is List(2,3,4), which you can also express as
// 2 :: 3 :: 4 :: Nil
case Nil =>
// an empty list case
}
It looks like you're constructing a kind of ListMap, so I'll write up a more "functional"/"recursive" way of implementing your get method.
I'll assume that d is the backing list, of type List[(String, Any)]
def get(key: String): Option[Any] = {
def recurse(key: String, list: List[(String, Any)]): Option[Any] = list match {
case (k, value) :: _ if (key == k) => Some(value)
case _ :: theRest => recurse(key, theRest)
case Nil => None
}
recurse(key, d)
}
The three case statements can be explained as follows:
1) The first element in list is a tuple of (k, value). The rest of the list is matched to the _ because we don't care about it in this case. The condition asks if k is equal to the key we are looking for. In this case, we want to return the value from the tuple.
2) Since the first element didn't have the right key, we want to recurse. We don't care about the first element, but we want the rest of the list so that we can recurse with it.
3) case Nil means there's nothing in the list, which should mark "failure" and the end of the recursion. In this case we return None. Consider this the same as your counter > acc condition from your question.
Please don't hesitate to ask for further explanation; and if I've accidentally made a mistake (won't compile, etc), point it out and I will fix it.
I'm assuming that conditionally extracting part of a tuple from a list of tuples is the important part of your question, excuse me if I'm wrong.
First an initial point, in Scala we normally would use AnyRef instead of Object or, if worthwhile, we would use a type parameter which can increase reuse of the function or method and increase type safety.
The three cases you describe can be collapsed into two cases, the first case uses a guard (the if statement after the pattern match), the second case matches the entire non-empty list and searches for a match between each first tuple argument and the key, returning a Some[T] containing the second tuple argument of the matching tuple or None if no match occurred. The third case is not required as the find operation traverses (iterates over) the list.
The map operation after the find is used to extract the second tuple argument (map on an Option returns an Option), remove this operation and change the method's return type to Option[(String, T)] if you want the whole tuple returned.
def f[T](key: String, xs: List[(String, T)], initialCount: Int = 2): Option[T] = {
var counter = initialCount
xs match {
case l: List[(String, T)] if l.size < counter => None
case l: List[(String, T)] => l find {_._1 == key} map {_._2}
}
}
f("A", List(("A", 1), ("B", 2))) // Returns Some(1)
f("B", List(("A", 1), ("B", 2))) // Returns Some(2)
f("A", List(("A", 1))) // Returns None
f("C", List(("A", 1), ("B", 2))) // Returns None
f("C", Nil) // Returns None
First, why are you using a List for that reason? What you need is definitely a Map. Its get() returns None if key is not found and Some(value) if it is found in it.
Second, what is x in your example? Is it the list?
Third, you cannot write case (log) => .. where log is a logical condition, it is in the form of case _ if (log) => ... (as Rex Kerr already pinted out in his comment).
Fouth, you need a recursive function for this (simply increasing the counter will call this only on the second element).
So you'll need something like this (if still prefer sticking to List):
def get(l: List[Tuple2[String, String]], key: String): Option[String] = {
if (l.isEmpty) {
None
} else {
val act = l.head
act match {
case x if (act._1 == key) => Some(act._2)
case _ => get(l.tail, key)
}
}
}

JSON to XML in Scala and dealing with Option() result

Consider the following from the Scala interpreter:
scala> JSON.parseFull("""{"name":"jack","greeting":"hello world"}""")
res6: Option[Any] = Some(Map(name -> jack, greeting -> hello world))
Why is the Map returned in Some() thing? And how do I work with it?
I want to put the values in an xml template:
<test>
<name>name goes here</name>
<greeting>greeting goes here</greeting>
</test>
What is the Scala way of getting my map out of Some(thing) and getting those values in the xml?
You should probably use something like this:
res6 collect { case x: Map[String, String] => renderXml(x) }
Where:
def renderXml(m: Map[String, String]) =
<test><name>{m.get("name") getOrElse ""}</name></test>
The collect method on Option[A] takes a PartialFunction[A, B] and is a combination of filter (by a predicate) and map (by a function). That is:
opt collect pf
opt filter (a => pf isDefinedAt a) map (a => pf(a))
Are both equivalent. When you have an optional value, you should use map, flatMap, filter, collect etc to transform the option in your program, avoiding extracting the option's contents either via a pattern-match or via the get method. You should never, ever use Option.get - it is the canonical sign that you are doing it wrong. Pattern-matching should be avoided because it represents a fork in your program and hence adds to cyclomatic complexity - the only time you might wish to do this might be for performance
Actually you have the issue that the result of the parseJSON method is an Option[Any] (the reason is that it is an Option, presumably, is that the parsing may not succeed and Option is a more graceful way of handling null than, well, null).
But the issue with my code above is that the case x: Map[String, String] cannot be checked at runtime due to type erasure (i.e. scala can check that the option contains a Map but not that the Map's type parameters are both String. The code will get you an unchecked warning.
An Option is returned because parseFull has different possible return values depending on the input, or it may fail to parse the input at all (giving None). So, aside from an optional Map which associates keys with values, an optional List can be returned as well if the JSON string denoted an array.
Example:
scala> import scala.util.parsing.json.JSON._
import scala.util.parsing.json.JSON._
scala> parseFull("""{"name":"jack"}""")
res4: Option[Any] = Some(Map(name -> jack))
scala> parseFull("""[ 100, 200, 300 ]""")
res6: Option[Any] = Some(List(100.0, 200.0, 300.0))
You might need pattern matching in order to achieve what you want, like so:
scala> parseFull("""{"name":"jack","greeting":"hello world"}""") match {
| case Some(m) => Console println ("Got a map: " + m)
| case _ =>
| }
Got a map: Map(name -> jack, greeting -> hello world)
Now, if you want to generate XML output, you can use the above to iterate over the key/value pairs:
import scala.xml.XML
parseFull("""{"name":"jack","greeting":"hello world"}""") match {
case Some(m: Map[_,_]) =>
<test>
{
m map { case (k,v) =>
XML.loadString("<%s>%s</%s>".format(k,v,k))
}
}
</test>
case _ =>
}
parseFull returns an Option because the string may not be valid JSON (in which case it will return None instead of Some).
The usual way to get the value out of a Some is to pattern match against it like this:
result match {
case Some(map) =>
doSomethingWith(map)
case None =>
handleTheError()
}
If you're certain the input will always be valid and so you don't need to handle the case of invalid input, you can use the get method on the Option, which will throw an exception when called on None.
You have two separate problems.
It's typed as Any.
Your data is inside an Option and a Map.
Let's suppose we have the data:
val x: Option[Any] = Some(Map("name" -> "jack", "greeting" -> "hi"))
and suppose that we want to return the appropriate XML if there is something to return, but not otherwise. Then we can use collect to gather those parts that we know how to deal with:
val y = x collect {
case m: Map[_,_] => m collect {
case (key: String, value: String) => key -> value
}
}
(note how we've taken each entry in the map apart to make sure it maps a string to a string--we wouldn't know how to proceed otherwise. We get:
y: Option[scala.collection.immutable.Map[String,String]] =
Some(Map(name -> jack, greeting -> hi))
Okay, that's better! Now if you know which fields you want in your XML, you can ask for them:
val z = for (m <- y; name <- m.get("name"); greet <- m.get("greeting")) yield {
<test><name>{name}</name><greeting>{greet}</greeting></test>
}
which in this (successful) case produces
z: Option[scala.xml.Elem] =
Some(<test><name>jack</name><greeting>hi</greeting></test>)
and in an unsuccessful case would produce None.
If you instead want to wrap whatever you happen to find in your map in the form <key>value</key>, it's a bit more work because Scala doesn't have a good abstraction for tags:
val z = for (m <- y) yield <test>{ m.map { case (tag, text) => xml.Elem(null, tag, xml.Null, xml.TopScope, xml.Text(text)) }}</test>
which again produces
z: Option[scala.xml.Elem] =
Some(<test><name>jack</name><greeting>hi</greeting></test>)
(You can use get to get the contents of an Option, but it will throw an exception if the Option is empty (i.e. None).)