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/**
*
* Copyright 2023-2025 InspectorRAGet Team
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
**/
'use client';
import { useState } from 'react';
import { Button, FileUploader, CodeSnippet } from '@carbon/react';
import { ArrowLeft, ArrowRight } from '@carbon/icons-react';
import { RawData } from '@/src/types';
import { camelCaseKeys } from '@/src/utilities/objects';
import { validateInputData } from '@/src/validators';
import { useNotification } from '@/src/components/notification/Notification';
import classes from './DataUploader.module.scss';
interface Props {
onNext: Function;
onPrev: Function;
}
export default function DataUploaderView({ onNext, onPrev }: Props) {
const [data, setData] = useState<RawData | undefined>(undefined);
const { createNotification } = useNotification();
return (
<div className={classes.root}>
<FileUploader
labelTitle="Upload file"
labelDescription="Max file size is 5mb. Only .json files are supported."
buttonLabel="Add file"
buttonKind="primary"
size="md"
filenameStatus="edit"
accept={['.json']}
multiple={false}
disabled={false}
iconDescription="Delete file"
name=""
onChange={async (event) => {
// Step 1: Define a filereader and configure parsing
const fileReader = new FileReader();
fileReader.onload = (e) => {
if (
e.target &&
e.target.result &&
typeof e.target.result === 'string'
) {
// Step 1.a: Parse JSON and convert certain keys to camel case
try {
const fileData = camelCaseKeys(JSON.parse(e.target.result));
// Step 1.b: Validate input data
const status = validateInputData(fileData);
// Step 1.c: Store data, if valid
if (status.valid) {
createNotification(
{
kind: 'info',
title: 'Upload successful.',
subtitle: 'Please process to data verification step.',
},
2000,
);
setData(fileData);
} else {
// Step 1.c: Generate notifications
status.reasons.forEach((reason) => {
createNotification({
kind: 'error',
title: 'Failed to upload file.',
subtitle: reason,
});
}, 10000);
// Step 1.d: Remove previously uploaded data
setData(undefined);
}
} catch (error) {
createNotification(
{
kind: 'error',
title: 'Failed to upload file.',
subtitle:
"Please make sure you are uploading a valid JSON file in a 'sample.json' format.",
},
10000,
);
setData(undefined);
}
}
return undefined;
};
// Step 2: Read uploaded file
fileReader.readAsText(event.target.files[0]);
}}
/>
<div>
<h4>Data format</h4>
<CodeSnippet
className={classes.dataFormat}
type="multi"
feedback="Copied to clipboard"
>
{`{
"name": "Example",
"models": [
{
"model_id": "model_a",
"name": "Model A",
"owner": "[email protected]"
},
{
"model_id": "model_b",
"name": "Model B",
"owner": "[email protected]"
}
],
"metrics": [
{
"name": "faithfulness",
"display_name": "Faithfulness",
"author": "human",
"type": "categorical",
"aggregator": "majority",
"values": [
{
"value": "no",
"display_value": "No",
"numeric_value": 1
},
{
"value": "mostly no",
"display_value": "Mostly No",
"numeric_value": 2
},
{
"value": "mostly yes",
"display_value": "Mostly Yes",
"numeric_value": 3
},
{
"value": "yes",
"display_value": "Yes",
"numeric_value": 4
}
]
},
{
"name": "f1",
"display_name": "F1 (word level)",
"author": "algorithm",
"type": "numerical",
"range": [0,100,10]
},
{
"name": "comments",
"display_name": "Comments",
"author": "human",
"type": "text"
}
],
"filters": ["category", "ncf_classes"],
"documents": [
{
"document_id": "document_1",
"text": "Document 1\nThis is a first sample document.",
"formatted_text": "#Document 1\nThis is a first sample document."
},
{
"document_id": "document_2",
"text": "Document 2\nThis is a second sample document.",
"formatted_text": "#Document 2\nThis is a second sample document."
}
],
"tasks": [
{
"task_id": "task_1",
"task_type": "rag",
"category": "grounded",
"ncf_classes": ["answer"]
"contexts": [
{
"document_id": "document_1"
}
],
"input": [{"speaker": "user", "text": "What it the document number?"}],
"targets": [{
"text": "The document number is 1."
}]
},
{
"task_id": "task_2",
"task_type": "rag",
"category": "random",
"ncf_classes": ["chit-chat"]
"contexts": [
{
"document_id": "document_1"
}
],
"input": [{"speaker": "user", "text": "Hello"}],
"targets": [{
"text": "How can I help you?"
}]
}
],
"evaluations": [
{
"task_id": "task_1",
"model_id": "model_a",
"model_response": "Document number is 1.",
"annotations": {
"faithfulness": {
"annotator_a": {
"timestamp": 1694615234,
"duration": 102,
"value": "yes"
},
"annotator_b": {
"timestamp": 1694557952,
"duration": 840,
"value": "yes"
},
"annotator_c": {
"timestamp": 1694551445,
"duration": 54,
"value": "mostly yes"
}
},
"f1": {
"system": {
"value": 82.5,
"duration": 0
}
}
"comments": {
"annotator_b": {
"timestamp": 1694615234,
"duration": 102,
"value": "Almost identical answer."
}
}
}
},
{
"task_id": "task_1",
"model_id": "model_b",
"model_response": "This is document number 2.",
"annotations": {
"faithfulness": {
"annotator_a": {
"timestamp": 1694615234,
"duration": 102,
"value": "no"
},
"annotator_b": {
"timestamp": 1694557952,
"duration": 840,
"value": "no"
},
"annotator_c": {
"timestamp": 1694551445,
"duration": 54,
"value": "no"
}
},
"f1": {
"system": {
"value": 67.12,
"duration": 0
}
}
}
}
]
}`}
</CodeSnippet>
</div>
<div className={classes.navigationButtons}>
<Button
kind="secondary"
renderIcon={ArrowLeft}
iconDescription="Return to instructions"
onClick={() => {
onPrev(data);
}}
>
Return to instructions
</Button>
<Button
disabled={!data}
renderIcon={ArrowRight}
iconDescription="Verify data"
onClick={() => {
onNext(data);
}}
>
Verify data
</Button>
</div>
</div>
);
}
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