-
Notifications
You must be signed in to change notification settings - Fork 16
/
SuiteBuilder.kt
100 lines (90 loc) · 3.15 KB
/
SuiteBuilder.kt
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
package com.xebia.functional.xef.evaluator
import com.xebia.functional.openai.models.CreateChatCompletionRequestModel
import com.xebia.functional.xef.AI
import com.xebia.functional.xef.evaluator.models.ItemResult
import com.xebia.functional.xef.evaluator.models.OutputResponse
import com.xebia.functional.xef.evaluator.models.OutputResult
import com.xebia.functional.xef.evaluator.models.SuiteResults
import com.xebia.functional.xef.evaluator.output.Html
import java.io.File
import kotlin.jvm.JvmSynthetic
import kotlinx.serialization.SerialName
import kotlinx.serialization.Serializable
import kotlinx.serialization.json.Json
import kotlinx.serialization.serializer
class SuiteBuilder(
private val description: String,
private val model: CreateChatCompletionRequestModel
) {
private val items = mutableListOf<ItemSpec>()
operator fun ItemSpec.unaryPlus() {
items.add(this)
}
fun build() = SuiteSpec(description, items, model = model)
}
@Serializable
data class SuiteSpec(
val description: String,
val items: List<ItemSpec>,
val model: CreateChatCompletionRequestModel
) {
suspend inline fun <reified E> evaluate(success: List<E>): SuiteResults<E> where
E : AI.PromptClassifier,
E : Enum<E> {
val items =
items.map { item ->
println("Evaluating item: ${item.input}")
val outputResults =
item.outputs.map { output ->
val classification =
AI.classify<E>(item.input, item.context, output.value, model = model)
println(" |_ ${output.description.value} = classification $classification")
OutputResult(
output.description.value,
item.context,
output.value,
classification,
success.contains(classification)
)
}
ItemResult(item.input, outputResults)
}
val suiteResults = SuiteResults(description, model.value, E::class.simpleName, items)
return suiteResults
}
companion object {
@JvmSynthetic
suspend operator fun invoke(
description: String,
model: CreateChatCompletionRequestModel,
block: suspend SuiteBuilder.() -> Unit
): SuiteSpec = SuiteBuilder(description, model).apply { block() }.build()
inline fun <reified E> toHtml(
result: SuiteResults<E>,
htmlFilename: String = "index.html"
) where E : AI.PromptClassifier, E : Enum<E> {
val content = Json.encodeToString(SuiteResults.serializer(serializer<E>()), result)
// Copy file inside build folder
val outputPath = System.getProperty("user.dir") + "/build/testSuite"
File(outputPath).mkdirs()
val htmlFile = File("$outputPath/$htmlFilename")
htmlFile.writeText(Html.get(content))
println("Test suite exported to ${htmlFile.absoluteFile}")
}
}
}
@Serializable
data class ItemSpec(
val input: String,
val context: String,
@SerialName("actual_outputs") val outputs: List<OutputResponse>
) {
companion object {
@JvmSynthetic
suspend operator fun invoke(
input: String,
context: String,
block: suspend TestItemBuilder.() -> Unit
): ItemSpec = TestItemBuilder(input, context).apply { block() }.build()
}
}