1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
|
package forge
import play.api.libs.json.{JsValue, Json}
import scala.collection.mutable
import ammonite.ops._
class Evaluator(workspacePath: Path,
labeling: Map[Target[_], Seq[String]]){
def evaluate(targets: OSet[Target[_]]): Evaluator.Results = {
mkdir(workspacePath)
val sortedGroups = Evaluator.groupAroundNamedTargets(
Evaluator.topoSortedTransitiveTargets(targets),
labeling
)
val evaluated = new MutableOSet[Target[_]]
val results = mutable.Map.empty[Target[_], Any]
val groupHashes = mutable.Map.empty[Int, Int]
for (groupIndex <- sortedGroups.keys()){
val group = sortedGroups.lookupKey(groupIndex)
val (inputsHash, newResults, newEvaluated) = evaluateGroupCached(
group,
results,
groupHashes,
sortedGroups
)
evaluated.appendAll(newEvaluated)
for((k, v) <- newResults) results.put(k, v)
groupHashes(groupIndex) = inputsHash
}
Evaluator.Results(targets.items.map(results), evaluated)
}
def evaluateGroupCached(group: OSet[Target[_]],
results: collection.Map[Target[_], Any],
groupHashes: collection.Map[Int, Int],
sortedGroups: MultiBiMap[Int, Target[_]]) = {
pprint.log(group)
val (externalInputs, terminals) = partitionGroupInputOutput(group, results)
val upstreamGroupIds = OSet.from(externalInputs.map(sortedGroups.lookupValue), dedup = true)
val inputsHash =
externalInputs.toIterator.map(results).hashCode +
group.toIterator.map(_.sideHash).hashCode +
upstreamGroupIds.toIterator.map(groupHashes).hashCode
val primeLabel = labeling(terminals.items(0))
val targetDestPath = workspacePath / primeLabel
val metadataPath = targetDestPath / up / (targetDestPath.last + ".forge.json")
val cached = for{
json <- util.Try(Json.parse(read.getInputStream(metadataPath))).toOption
(hash, terminalResults) <- Json.fromJson[(Int, Seq[JsValue])](json).asOpt
_ = println("cached hash " + hash)
if hash == inputsHash
} yield terminalResults
cached match{
case Some(terminalResults) =>
val newResults = mutable.Map.empty[Target[_], Any]
for((terminal, res) <- terminals.items.zip(terminalResults)){
newResults(terminal) = terminal.formatter.reads(res).get
}
(inputsHash, newResults, Nil)
case _ =>
val (newResults, newEvaluated, terminalResults) = {
evaluateGroup(group, results, terminals, targetDestPath)
}
write.over(
metadataPath,
Json.prettyPrint(
Json.toJson((inputsHash , terminalResults))
),
)
(inputsHash, newResults, newEvaluated)
}
}
def partitionGroupInputOutput(group: OSet[Target[_]],
results: collection.Map[Target[_], Any]) = {
val allInputs = group.items.flatMap(_.inputs)
val (internalInputs, externalInputs) = allInputs.partition(group.contains)
val internalInputSet = internalInputs.toSet
val terminals = group.filter(!internalInputSet(_))
(OSet.from(externalInputs, dedup=true), terminals)
}
def evaluateGroup(group: OSet[Target[_]],
results: collection.Map[Target[_], Any],
terminals: OSet[Target[_]],
targetDestPath: Path) = {
rm(targetDestPath)
val terminalResults = mutable.Buffer.empty[JsValue]
val newEvaluated = mutable.Buffer.empty[Target[_]]
val newResults = mutable.Map.empty[Target[_], Any]
for (target <- group.items) {
newEvaluated.append(target)
val targetInputValues = target.inputs.toVector.map(x =>
newResults.getOrElse(x, results(x))
)
if (!labeling.contains(target)) {
newResults(target) = target.evaluate(new Args(targetInputValues, targetDestPath))
} else {
val (res, serialized) = target.evaluateAndWrite(
new Args(targetInputValues, targetDestPath)
)
if (terminals.contains(target)) {
terminalResults.append(serialized)
}
newResults(target) = res
}
}
(newResults, newEvaluated, terminalResults)
}
}
object Evaluator{
class TopoSorted private[Evaluator] (val values: OSet[Target[_]])
case class Results(values: Seq[Any], evaluated: OSet[Target[_]])
def groupAroundNamedTargets(topoSortedTargets: TopoSorted,
labeling: Map[Target[_], Seq[String]]): MultiBiMap[Int, Target[_]] = {
val grouping = new MutableMultiBiMap[Int, Target[_]]()
var groupCount = 0
for(target <- topoSortedTargets.values.items.reverseIterator){
if (!grouping.containsValue(target)){
grouping.add(groupCount, target)
groupCount += 1
}
val targetGroup = grouping.lookupValue(target)
for(upstream <- target.inputs){
grouping.lookupValueOpt(upstream) match{
case None if !labeling.contains(upstream) =>
grouping.add(targetGroup, upstream)
case Some(upstreamGroup) if upstreamGroup == targetGroup =>
val upstreamTargets = grouping.removeAll(upstreamGroup)
grouping.addAll(targetGroup, upstreamTargets)
case _ => //donothing
}
}
}
val output = new MutableMultiBiMap[Int, Target[_]]
for(target <- topoSortedTargets.values.items){
for(targetGroup <- grouping.lookupValueOpt(target)){
val shifted = grouping.removeAll(targetGroup)
output.addAll(output.keys().length, shifted.reverse)
}
}
output
}
/**
* Takes the given targets, finds all the targets they transitively depend
* on, and sort them topologically. Fails if there are dependency cycles
*/
def topoSortedTransitiveTargets(sourceTargets: OSet[Target[_]]): TopoSorted = {
val transitiveTargets = new MutableOSet[Target[_]]
def rec(t: Target[_]): Unit = {
if (transitiveTargets.contains(t)) () // do nothing
else {
transitiveTargets.append(t)
t.inputs.foreach(rec)
}
}
sourceTargets.items.foreach(rec)
val targetIndices = transitiveTargets.items.zipWithIndex.toMap
val numberedEdges =
for(t <- transitiveTargets.items)
yield t.inputs.map(targetIndices)
val sortedClusters = Tarjans(numberedEdges)
val nonTrivialClusters = sortedClusters.filter(_.length > 1)
assert(nonTrivialClusters.isEmpty, nonTrivialClusters)
new TopoSorted(OSet.from(sortedClusters.flatten.map(transitiveTargets.items)))
}
}
|
