React UI components for visualizing Neuroline pipelines with MUI.

neuroline-ui

React components for visualizing Neuroline pipelines with Material-UI.

Installation

yarn add neuroline-ui @mui/material @emotion/react @emotion/styled @mui/icons-material

Note: This package has peer dependencies on React, MUI, and Emotion.

UI language: English-only labels (e.g. Error, Artefact).

Features

PipelineViewer - visual representation of pipeline execution flow
JobNode - individual job status display with timing information
JobDetailsPanel - detailed job information with tabs for artefact, input, options, error
StageColumn - stage grouping with parallel job visualization
StatusBadge - color-coded status indicators
ArtifactView - job artifact display
InputView - job input data display with edit button
OptionsView - job options display with edit button
ErrorView - job error details display
TypeScript Support - full type safety
Storybook - interactive component documentation

Quick Start

'use client';

import { PipelineViewer, JobDetailsPanel } from 'neuroline-ui';
import type { PipelineDisplayData, JobDisplayInfo } from 'neuroline-ui';
import { useEffect, useState, useCallback } from 'react';

export function PipelineDemo() {
  const [pipeline, setPipeline] = useState<PipelineDisplayData | null>(null);
  const [selectedJob, setSelectedJob] = useState<JobDisplayInfo | null>(null);

  useEffect(() => {
    // Fetch pipeline status
    fetch('/api/pipeline/status')
      .then(res => res.json())
      .then(setPipeline);
  }, []);

  const handleJobClick = useCallback((job: JobDisplayInfo) => {
    setSelectedJob(job);
  }, []);

  return (
    <div>
      {pipeline && (
        <PipelineViewer
          pipeline={pipeline}
          onJobClick={handleJobClick}
          selectedJobName={selectedJob?.name}
        />
      )}
      {selectedJob && (
        <JobDetailsPanel
          job={selectedJob}
          onInputEditClick={(job) => console.log('Edit input:', job)}
          onOptionsEditClick={(job) => console.log('Edit options:', job)}
        />
      )}
    </div>
  );
}

Components

PipelineViewer

Main component for visualizing pipeline execution.

import { PipelineViewer } from 'neuroline-ui';

<PipelineViewer
  pipeline={{
    pipelineId: 'pl_123',
    pipelineType: 'data-processing',
    status: 'processing',
    stages: [
      {
        index: 0,
        jobs: [
          {
            name: 'fetch-data',
            status: 'done',
            startedAt: new Date('2024-01-01T00:00:00Z'),
            finishedAt: new Date('2024-01-01T00:00:02Z'),
            artifact: { size: 2048 },
          },
        ],
      },
      {
        index: 1,
        jobs: [
          {
            name: 'process-data',
            status: 'processing',
            startedAt: new Date('2024-01-01T00:00:02Z'),
            input: { records: 150 },
            options: { batchSize: 50 },
          },
        ],
      },
    ],
  }}
  onJobClick={(job) => console.log('Job clicked:', job)}
  selectedJobName="fetch-data"
/>

Props:

Prop	Type	Default	Description
`pipeline`	`PipelineDisplayData`	Required	Pipeline data with stages
`onJobClick`	`(job: JobDisplayInfo) => void`	-	Click handler for job nodes
`selectedJobName`	`string`	-	Name of currently selected job

JobDetailsPanel

Panel for displaying detailed job information with tabs.

import { JobDetailsPanel } from 'neuroline-ui';

<JobDetailsPanel
  job={{
    name: 'process-data',
    status: 'done',
    startedAt: new Date(),
    finishedAt: new Date(),
    artifact: { processed: true, count: 150 },
    input: { records: 150, format: 'json' },
    options: { batchSize: 50, parallel: true },
  }}
  onInputEditClick={(job) => console.log('Edit input:', job)}
  onOptionsEditClick={(job) => console.log('Edit options:', job)}
/>

Props:

Prop	Type	Default	Description
`job`	`JobDisplayInfo`	Required	Job to display
`onInputEditClick`	`(job: JobDisplayInfo) => void`	-	Edit input callback
`onOptionsEditClick`	`(job: JobDisplayInfo) => void`	-	Edit options callback

JobNode

Individual job display component.

import { JobNode } from 'neuroline-ui';

<JobNode
  job={{
    name: 'fetch-data',
    status: 'done',
    startedAt: new Date(),
    finishedAt: new Date(),
    artifact: { size: 2048 },
  }}
  isSelected={true}
  onClick={(job) => console.log('Clicked:', job)}
/>

Props:

Prop	Type	Default	Description
`job`	`JobDisplayInfo`	Required	Job data
`isSelected`	`boolean`	`false`	Highlight as selected
`onClick`	`(job: JobDisplayInfo) => void`	-	Click handler

StageColumn

Stage grouping component for parallel jobs.

import { StageColumn } from 'neuroline-ui';

<StageColumn
  stage={{
    index: 1,
    jobs: [
      { name: 'job1', status: 'done' },
      { name: 'job2', status: 'done' },
    ],
  }}
  selectedJobName="job1"
  onJobClick={(job) => console.log(job)}
/>

StatusBadge

Status indicator with color coding.

import { StatusBadge } from 'neuroline-ui';

<StatusBadge status="processing" size="small" />

Status colors:

pending - Gray
processing - Cyan (animated)
done - Green
error - Red

ArtifactView

Display job artifact data.

import { ArtifactView } from 'neuroline-ui';

<ArtifactView artifact={{ processed: true, count: 150 }} />

InputView

Display job input data with optional edit button.

import { InputView } from 'neuroline-ui';

<InputView
  input={{ records: 150, format: 'json' }}
  onEditClick={() => console.log('Edit input')}
/>

OptionsView

Display job options with optional edit button.

import { OptionsView } from 'neuroline-ui';

<OptionsView
  options={{ batchSize: 50, parallel: true }}
  onEditClick={() => console.log('Edit options')}
/>

ErrorView

Display job error details (supports error history with retries).

import { ErrorView } from 'neuroline-ui';

<ErrorView errors={[{ message: 'Database connection timeout', stack: 'Error: ...', attempt: 0 }]} />

Types

import type {
  PipelineDisplayData,
  StageDisplayInfo,
  JobDisplayInfo,
  JobError,
  JobStatus,
  PipelineStatus,
  SerializableValue,
} from 'neuroline-ui';

JobDisplayInfo

interface JobDisplayInfo {
  name: string;
  status: 'pending' | 'processing' | 'done' | 'error';
  startedAt?: Date;
  finishedAt?: Date;
  errors: JobError[];
  artifact?: SerializableValue;
  input?: SerializableValue;
  options?: SerializableValue;
}

StageDisplayInfo

interface StageDisplayInfo {
  index: number;
  jobs: JobDisplayInfo[];
}

PipelineDisplayData

interface PipelineDisplayData {
  pipelineId: string;
  pipelineType: string;
  status: 'processing' | 'done' | 'error';
  stages: StageDisplayInfo[];
  input?: SerializableValue;
  error?: { message: string; jobName?: string };
}

SerializableValue

type SerializableValue = Record<string, unknown> | string | number | boolean | null;

Styling

All components use MUI's sx prop and support theme customization.

Custom Theme

import { ThemeProvider, createTheme } from '@mui/material';
import { PipelineViewer } from 'neuroline-ui';

const theme = createTheme({
  palette: {
    primary: { main: '#7c4dff' },
    success: { main: '#00e676' },
    error: { main: '#ff1744' },
    info: { main: '#00e5ff' },
  },
});

<ThemeProvider theme={theme}>
  <PipelineViewer pipeline={pipeline} />
</ThemeProvider>

Storybook

Run Storybook for interactive component documentation:

yarn workspace neuroline-ui storybook

This will start Storybook on http://localhost:6006 with live examples of all components.

Integration Examples

With Next.js App Router

'use client';

import { PipelineViewer, JobDetailsPanel } from 'neuroline-ui';
import type { PipelineDisplayData, JobDisplayInfo } from 'neuroline-ui';
import { Container, Typography } from '@mui/material';
import { useState, useEffect, useCallback } from 'react';

export default function PipelinePage({ params }: { params: { id: string } }) {
  const [pipeline, setPipeline] = useState<PipelineDisplayData | null>(null);
  const [selectedJob, setSelectedJob] = useState<JobDisplayInfo | null>(null);

  useEffect(() => {
    const pollStatus = async () => {
      const res = await fetch(`/api/pipeline/${params.id}/status`);
      const data = await res.json();
      setPipeline(data);

      if (data.status === 'processing') {
        setTimeout(pollStatus, 1000);
      }
    };

    pollStatus();
  }, [params.id]);

  const handleJobClick = useCallback((job: JobDisplayInfo) => {
    setSelectedJob(job);
  }, []);

  return (
    <Container>
      <Typography variant="h4" gutterBottom>
        Pipeline: {params.id}
      </Typography>
      {pipeline && (
        <PipelineViewer
          pipeline={pipeline}
          onJobClick={handleJobClick}
          selectedJobName={selectedJob?.name}
        />
      )}
      {selectedJob && <JobDetailsPanel job={selectedJob} />}
    </Container>
  );
}

Development

Build the package:

yarn workspace neuroline-ui build

Watch mode:

yarn workspace neuroline-ui dev

License

UNLICENSED

neuroline-ui

React компоненты для визуализации Neuroline пайплайнов с Material-UI.

Установка

yarn add neuroline-ui @mui/material @emotion/react @emotion/styled @mui/icons-material

Примечание: Этот пакет имеет peer-зависимости от React, MUI и Emotion.

Язык интерфейса: только английский (например, Error, Artefact).

Возможности

PipelineViewer - визуальное представление процесса выполнения pipeline
JobNode - отображение статуса отдельной job с информацией о времени
JobDetailsPanel - детальная информация о job с табами для artefact, input, options, error
StageColumn - группировка stage с визуализацией параллельных jobs
StatusBadge - цветные индикаторы статуса
ArtifactView - отображение артефакта job
InputView - отображение входных данных job с кнопкой редактирования
OptionsView - отображение опций job с кнопкой редактирования
ErrorView - отображение деталей ошибки job
TypeScript поддержка - полная типобезопасность
Storybook - интерактивная документация компонентов

Быстрый старт

'use client';

import { PipelineViewer, JobDetailsPanel } from 'neuroline-ui';
import type { PipelineDisplayData, JobDisplayInfo } from 'neuroline-ui';
import { useEffect, useState, useCallback } from 'react';

export function PipelineDemo() {
  const [pipeline, setPipeline] = useState<PipelineDisplayData | null>(null);
  const [selectedJob, setSelectedJob] = useState<JobDisplayInfo | null>(null);

  useEffect(() => {
    // Получение статуса pipeline
    fetch('/api/pipeline/status')
      .then(res => res.json())
      .then(setPipeline);
  }, []);

  const handleJobClick = useCallback((job: JobDisplayInfo) => {
    setSelectedJob(job);
  }, []);

  return (
    <div>
      {pipeline && (
        <PipelineViewer
          pipeline={pipeline}
          onJobClick={handleJobClick}
          selectedJobName={selectedJob?.name}
        />
      )}
      {selectedJob && (
        <JobDetailsPanel
          job={selectedJob}
          onInputEditClick={(job) => console.log('Редактировать input:', job)}
          onOptionsEditClick={(job) => console.log('Редактировать options:', job)}
        />
      )}
    </div>
  );
}

Компоненты

PipelineViewer

Основной компонент для визуализации выполнения pipeline.

import { PipelineViewer } from 'neuroline-ui';

<PipelineViewer
  pipeline={{
    pipelineId: 'pl_123',
    pipelineType: 'data-processing',
    status: 'processing',
    stages: [
      {
        index: 0,
        jobs: [
          {
            name: 'fetch-data',
            status: 'done',
            startedAt: new Date('2024-01-01T00:00:00Z'),
            finishedAt: new Date('2024-01-01T00:00:02Z'),
            artifact: { size: 2048 },
          },
        ],
      },
      {
        index: 1,
        jobs: [
          {
            name: 'process-data',
            status: 'processing',
            startedAt: new Date('2024-01-01T00:00:02Z'),
            input: { records: 150 },
            options: { batchSize: 50 },
          },
        ],
      },
    ],
  }}
  onJobClick={(job) => console.log('Job clicked:', job)}
  selectedJobName="fetch-data"
/>

Пропсы:

Проп	Тип	По умолчанию	Описание
`pipeline`	`PipelineDisplayData`	Обязательно	Данные pipeline со stages
`onJobClick`	`(job: JobDisplayInfo) => void`	-	Обработчик клика по job
`selectedJobName`	`string`	-	Имя выбранной job

JobDetailsPanel

Панель для отображения детальной информации о job с табами.

import { JobDetailsPanel } from 'neuroline-ui';

<JobDetailsPanel
  job={{
    name: 'process-data',
    status: 'done',
    startedAt: new Date(),
    finishedAt: new Date(),
    artifact: { processed: true, count: 150 },
    input: { records: 150, format: 'json' },
    options: { batchSize: 50, parallel: true },
  }}
  onInputEditClick={(job) => console.log('Редактировать input:', job)}
  onOptionsEditClick={(job) => console.log('Редактировать options:', job)}
/>

Пропсы:

Проп	Тип	По умолчанию	Описание
`job`	`JobDisplayInfo`	Обязательно	Job для отображения
`onInputEditClick`	`(job: JobDisplayInfo) => void`	-	Callback редактирования input
`onOptionsEditClick`	`(job: JobDisplayInfo) => void`	-	Callback редактирования options

JobNode

Компонент отображения отдельной job.

import { JobNode } from 'neuroline-ui';

<JobNode
  job={{
    name: 'fetch-data',
    status: 'done',
    startedAt: new Date(),
    finishedAt: new Date(),
    artifact: { size: 2048 },
  }}
  isSelected={true}
  onClick={(job) => console.log('Clicked:', job)}
/>

Пропсы:

Проп	Тип	По умолчанию	Описание
`job`	`JobDisplayInfo`	Обязательно	Данные job
`isSelected`	`boolean`	`false`	Подсветить как выбранную
`onClick`	`(job: JobDisplayInfo) => void`	-	Обработчик клика

StageColumn

Компонент группировки stage для параллельных jobs.

import { StageColumn } from 'neuroline-ui';

<StageColumn
  stage={{
    index: 1,
    jobs: [
      { name: 'job1', status: 'done' },
      { name: 'job2', status: 'done' },
    ],
  }}
  selectedJobName="job1"
  onJobClick={(job) => console.log(job)}
/>

StatusBadge

Индикатор статуса с цветовым кодированием.

import { StatusBadge } from 'neuroline-ui';

<StatusBadge status="processing" size="small" />

Цвета статусов:

pending - Серый
processing - Бирюзовый (анимированный)
done - Зелёный
error - Красный

ArtifactView

Отображение артефакта job.

import { ArtifactView } from 'neuroline-ui';

<ArtifactView artifact={{ processed: true, count: 150 }} />

InputView

Отображение входных данных job с опциональной кнопкой редактирования.

import { InputView } from 'neuroline-ui';

<InputView
  input={{ records: 150, format: 'json' }}
  onEditClick={() => console.log('Редактировать input')}
/>

OptionsView

Отображение опций job с опциональной кнопкой редактирования.

import { OptionsView } from 'neuroline-ui';

<OptionsView
  options={{ batchSize: 50, parallel: true }}
  onEditClick={() => console.log('Редактировать options')}
/>

ErrorView

Отображение деталей ошибок job (включая историю ретраев).

import { ErrorView } from 'neuroline-ui';

<ErrorView errors={[{ message: 'Database connection timeout', stack: 'Error: ...', attempt: 0 }]} />

Типы

import type {
  PipelineDisplayData,
  StageDisplayInfo,
  JobDisplayInfo,
  JobError,
  JobStatus,
  PipelineStatus,
  SerializableValue,
} from 'neuroline-ui';

JobDisplayInfo

interface JobDisplayInfo {
  name: string;
  status: 'pending' | 'processing' | 'done' | 'error';
  startedAt?: Date;
  finishedAt?: Date;
  errors: JobError[];
  artifact?: SerializableValue;
  input?: SerializableValue;
  options?: SerializableValue;
}

StageDisplayInfo

interface StageDisplayInfo {
  index: number;
  jobs: JobDisplayInfo[];
}

PipelineDisplayData

interface PipelineDisplayData {
  pipelineId: string;
  pipelineType: string;
  status: 'processing' | 'done' | 'error';
  stages: StageDisplayInfo[];
  input?: SerializableValue;
  error?: { message: string; jobName?: string };
}

SerializableValue

type SerializableValue = Record<string, unknown> | string | number | boolean | null;

Стилизация

Все компоненты используют sx проп MUI и поддерживают кастомизацию темы.

Кастомная тема

import { ThemeProvider, createTheme } from '@mui/material';
import { PipelineViewer } from 'neuroline-ui';

const theme = createTheme({
  palette: {
    primary: { main: '#7c4dff' },
    success: { main: '#00e676' },
    error: { main: '#ff1744' },
    info: { main: '#00e5ff' },
  },
});

<ThemeProvider theme={theme}>
  <PipelineViewer pipeline={pipeline} />
</ThemeProvider>

Storybook

Запустите Storybook для интерактивной документации:

yarn workspace neuroline-ui storybook

Это запустит Storybook на http://localhost:6006 с живыми примерами всех компонентов.

Примеры интеграции

С Next.js App Router

'use client';

import { PipelineViewer, JobDetailsPanel } from 'neuroline-ui';
import type { PipelineDisplayData, JobDisplayInfo } from 'neuroline-ui';
import { Container, Typography } from '@mui/material';
import { useState, useEffect, useCallback } from 'react';

export default function PipelinePage({ params }: { params: { id: string } }) {
  const [pipeline, setPipeline] = useState<PipelineDisplayData | null>(null);
  const [selectedJob, setSelectedJob] = useState<JobDisplayInfo | null>(null);

  useEffect(() => {
    const pollStatus = async () => {
      const res = await fetch(`/api/pipeline/${params.id}/status`);
      const data = await res.json();
      setPipeline(data);

      if (data.status === 'processing') {
        setTimeout(pollStatus, 1000);
      }
    };

    pollStatus();
  }, [params.id]);

  const handleJobClick = useCallback((job: JobDisplayInfo) => {
    setSelectedJob(job);
  }, []);

  return (
    <Container>
      <Typography variant="h4" gutterBottom>
        Pipeline: {params.id}
      </Typography>
      {pipeline && (
        <PipelineViewer
          pipeline={pipeline}
          onJobClick={handleJobClick}
          selectedJobName={selectedJob?.name}
        />
      )}
      {selectedJob && <JobDetailsPanel job={selectedJob} />}
    </Container>
  );
}

Разработка

Сборка пакета:

yarn workspace neuroline-ui build

Режим watch:

yarn workspace neuroline-ui dev

License

UNLICENSED

Installation​

Features​

Quick Start​

Components​

PipelineViewer​

JobDetailsPanel​

JobNode​

StageColumn​

StatusBadge​

ArtifactView​

InputView​

OptionsView​

ErrorView​

Types​

JobDisplayInfo​

StageDisplayInfo​

PipelineDisplayData​

SerializableValue​

Styling​

Custom Theme​

Storybook​

Integration Examples​

With Next.js App Router​

Development​

License​

neuroline-ui

Установка​

Возможности​

Быстрый старт​

Компоненты​

PipelineViewer​

JobDetailsPanel​

JobNode​

StageColumn​

StatusBadge​

ArtifactView​

InputView​

OptionsView​

ErrorView​

Типы​

JobDisplayInfo​

StageDisplayInfo​

PipelineDisplayData​

SerializableValue​

Стилизация​

Кастомная тема​

Storybook​

Примеры интеграции​

С Next.js App Router​

Разработка​

License​

Installation

Features

Quick Start

Components

PipelineViewer

JobDetailsPanel

JobNode

StageColumn

StatusBadge

ArtifactView

InputView

OptionsView

ErrorView

Types

JobDisplayInfo

StageDisplayInfo

PipelineDisplayData

SerializableValue

Styling

Custom Theme

Storybook

Integration Examples

With Next.js App Router

Development

License

Установка

Возможности

Быстрый старт

Компоненты

PipelineViewer

JobDetailsPanel

JobNode

StageColumn

StatusBadge

ArtifactView

InputView

OptionsView

ErrorView

Типы

JobDisplayInfo

StageDisplayInfo

PipelineDisplayData

SerializableValue

Стилизация

Кастомная тема

Storybook

Примеры интеграции

С Next.js App Router

Разработка

License