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Main to evaluations in backend #1217

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merged 8 commits into from
Jan 17, 2024
Merged

Main to evaluations in backend #1217

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3a82c5b
feat: export answer and notes
bekossy Jan 15, 2024
6d89c0d
dynamic column input for csv
bekossy Jan 15, 2024
05a1436
conditional check for expected answer
bekossy Jan 15, 2024
cf6157d
added expected answer and note to csv and dynamic col inputs to singl…
bekossy Jan 15, 2024
7f1ef7b
removed rabbitmd_data
bekossy Jan 16, 2024
a7cb175
sync changes with chat
bekossy Jan 16, 2024
aa261b8
Merge pull request #1212 from Agenta-AI/issue-1204/-expected-answer-a…
mmabrouk Jan 16, 2024
29fa37e
Merge branch 'main' into main-to-evaluations-in-backend
aakrem Jan 17, 2024
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8 changes: 7 additions & 1 deletion agenta-web/src/components/EvaluationTable/ABTestingEvaluationTable.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -387,7 +387,13 @@ const ABTestingEvaluationTable: React.FC<EvaluationTableProps> = ({
Run All
</Button>
<SecondaryButton
onClick={() => exportABTestingEvaluationData(evaluation, rows)}
onClick={() =>
exportABTestingEvaluationData(
evaluation,
evaluationScenarios,
rows,
)
}
disabled={false}
>
Export results
Expand Down
8 changes: 7 additions & 1 deletion agenta-web/src/components/EvaluationTable/SingleModelEvaluationTable.tsx
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Original file line number Diff line number Diff line change
Expand Up @@ -454,7 +454,13 @@ const SingleModelEvaluationTable: React.FC<EvaluationTableProps> = ({
Run All
</Button>
<SecondaryButton
onClick={() => exportSingleModelEvaluationData(evaluation, rows)}
onClick={() =>
exportSingleModelEvaluationData(
evaluation,
evaluationScenarios,
rows,
)
}
disabled={false}
>
Export results
Expand Down
168 changes: 162 additions & 6 deletions agenta-web/src/lib/helpers/evaluate.ts
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Original file line number Diff line number Diff line change
@@ -1,13 +1,85 @@
import {HumanEvaluationListTableDataType} from "@/components/Evaluations/HumanEvaluationResult"
import {Evaluation, GenericObject, Variant} from "../Types"
import {Evaluation, EvaluationScenario, GenericObject, Variant} from "../Types"
import {convertToCsv, downloadCsv} from "./fileManipulations"

export const exportABTestingEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
export const exportExactEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
const exportRow = rows.map((data, ix) => {
return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Correct answer"]: data.correctAnswer,
["Evaluation"]: data.score,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportSimilarityEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
const exportRow = rows.map((data, ix) => {
return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Correct answer"]: data.correctAnswer,
["Score"]: data.score,
["Evaluation"]: data.similarity,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportAICritiqueEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
const exportRow = rows.map((data, ix) => {
return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Correct answer"]: data.correctAnswer,
["Score"]: data.score,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportABTestingEvaluationData = (
evaluation: Evaluation,
scenarios: EvaluationScenario[],
rows: GenericObject[],
) => {
const exportRow = rows.map((data, ix) => {
const inputColumns = evaluation.testset.testsetChatColumn
? {Input: evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn]}
: data.inputs.reduce(
(columns: any, input: {input_name: string; input_value: string}) => {
columns[`${input.input_name}`] = input.input_value
return columns
},
{},
)
return {
...inputColumns,
[`App Variant ${evaluation.variants[0].variantName} Output 0`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
Expand All @@ -17,6 +89,9 @@ export const exportABTestingEvaluationData = (evaluation: Evaluation, rows: Gene
["Vote"]:
evaluation.variants.find((v: Variant) => v.variantId === data.vote)?.variantName ||
data.vote,
["Expected answer"]:
scenarios[ix]?.correctAnswer || evaluation.testset.csvdata[ix].correct_answer,
["Additional notes"]: scenarios[ix]?.note,
}
})
const exportCol = Object.keys(exportRow[0])
Expand All @@ -26,17 +101,98 @@ export const exportABTestingEvaluationData = (evaluation: Evaluation, rows: Gene
downloadCsv(csvData, filename)
}

export const exportSingleModelEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
export const exportSingleModelEvaluationData = (
evaluation: Evaluation,
scenarios: EvaluationScenario[],
rows: GenericObject[],
) => {
const exportRow = rows.map((data, ix) => {
const inputColumns = evaluation.testset.testsetChatColumn
? {Input: evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn]}
: data.inputs.reduce(
(columns: any, input: {input_name: string; input_value: string}) => {
columns[`${input.input_name}`] = input.input_value
return columns
},
{},
)
const numericScore = parseInt(data.score)
return {
...inputColumns,
[`App Variant ${evaluation.variants[0].variantName} Output 0`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Score"]: isNaN(numericScore) ? "-" : numericScore,
["Expected answer"]:
scenarios[ix]?.correctAnswer || evaluation.testset.csvdata[ix].correct_answer,
["Additional notes"]: scenarios[ix]?.note,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportRegexEvaluationData = (
evaluation: Evaluation,
rows: GenericObject[],
settings: GenericObject,
) => {
const exportRow = rows.map((data, ix) => {
const isCorrect = data.score === "correct"
const isMatch = settings.regexShouldMatch ? isCorrect : !isCorrect

return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output 0`]: data?.columnData0
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Score"]: isNaN(numericScore) ? "-" : numericScore,
["Match / Mismatch"]: isMatch ? "Match" : "Mismatch",
["Evaluation"]: data.score,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportWebhookEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
const exportRow = rows.map((data, ix) => {
return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Correct answer"]: data.correctAnswer,
["Score"]: data.score,
}
})
const exportCol = Object.keys(exportRow[0])

const csvData = convertToCsv(exportRow, exportCol)
const filename = `${evaluation.appName}_${evaluation.variants[0].variantName}_${evaluation.evaluationType}.csv`
downloadCsv(csvData, filename)
}

export const exportCustomCodeEvaluationData = (evaluation: Evaluation, rows: GenericObject[]) => {
const exportRow = rows.map((data, ix) => {
return {
["Inputs"]:
evaluation.testset.csvdata[ix]?.[evaluation.testset.testsetChatColumn] ||
data.inputs[0].input_value,
[`App Variant ${evaluation.variants[0].variantName} Output`]: data?.columnData0
? data?.columnData0
: data.outputs[0]?.variant_output,
["Correct answer"]: data.correctAnswer,
["Score"]: data.score,
}
})
const exportCol = Object.keys(exportRow[0])
Expand All @@ -63,4 +219,4 @@ export const calculateResultsDataAvg = (
export const getVotesPercentage = (record: HumanEvaluationListTableDataType, index: number) => {
const variant = record.votesData.variants[index]
return record.votesData.variants_votes_data[variant]?.percentage
}
}
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