Sasha Khamkov sanusart

Ant design v3.9.0 custom svg icons and icons overrides

File examples bellow

ENTITY	ORIGINAL_ERROR	FRIENDLY_ERROR	CAUSE	POSSIBLE_ACTION	RELEVANT_KB
dataStreams	SOME_ERROR_345	Rate limit	Rate limit happens when we try to process more than what the vendor allows for a certain time frame/account.	Try to reprocess the data stream gradually	https://localhost:3000/#/demo
reports	SOME_ERROR_6788	not found	Rate limit happens when we try to process more than what the vendor allows for a certain time frame/account.	Try to reprocess the report gradually	https://localhost:3000/#/demo
actions	SOME_ERROR_89546	some error	Rate limit happens when we try to process more than what the vendor allows for a certain time frame/account.	Try to reprocess the action gradually	https://localhost:3000/#/demo
workflows	SOME_ERROR_123	unknown	Rate limit happens when we try to process more than what the vendor allows for a certain time frame/account.	Try to reprocess the workflow gradually	https://localhost:3000/#/demo

	export const lightOrDark = (color, ratio = 155) => {
	const hex = color.replace('#', '');
	const red = parseInt(hex.substr(0, 2), 16);
	const green = parseInt(hex.substr(2, 2), 16);
	const blue = parseInt(hex.substr(4, 2), 16);
	const brightness = (red * 299 + green * 587 + blue * 114) / 1000;

	return brightness > ratio ? 'light' : 'dark';
	};

	import spacy
	from spacy.matcher import Matcher
	from spacy.lang.en import English

	nlp = English()
	matcher = Matcher(nlp.vocab)

	# create some patterns and add to matcher
	pattern1 = [{"LOWER": "iphone"}, {"LOWER": "x"}]
	pattern2 = [{"LOWER": "iphone"}, {"IS_DIGIT": True, "OP": "?"}]

	import faker from 'faker';

	export const dataStreamEntities = {
	data: [
	{
	id: 6248,
	name: 'Data Stream',
	enabled: true,
	sourceDisplayName: 'Google Analytics',
	lastRunStatus: false,

	export const tsvToObject = () =>
	fetch('https://www.file.com/some.tsv')
	.then(r => r.text())
	.then(tsv => {
	const data = compact(tsv.split('\n'));
	const headers = head(data).split('\t');
	const rows = map(row => row.split('\t'), tail(data));

	return keyBy('SOME_HEADER', rows.map(m => zipObject(headers, m)));
	});

	import React, { Component } from 'react';
	import styled from 'styled-components/macro';
	import GroupedBy from 'components/pages/Run/FiltersMenu/GroupedBy';
	import { SegmentedButton, TextInput } from 'app-components';

	import { ReactComponent as SuccessIcon } from 'assets/check.svg';
	import { ReactComponent as ArrowRightIcon } from 'assets/arror_grey_toRight.svg';

	const HEADER_HEIGHT = 65;