linter-pass

This commit is contained in:
tonyrewin 2022-11-14 20:09:51 +03:00
parent 63bbd38db2
commit 9965a21e6b
6 changed files with 68 additions and 64 deletions

View File

@ -74,6 +74,8 @@ module.exports = {
'unicorn/numeric-separators-style': 'off',
'unicorn/prefer-node-protocol': 'off',
'promise/always-return': 'off',
eqeqeq: 'error',
'no-param-reassign': 'error',
'no-nested-ternary': 'error',

View File

@ -1,31 +1,63 @@
import { onMount } from 'solid-js'
/**
* A utility function for drawing our line segments
* @param {AudioContext} ctx the audio context
* @param {number} x the x coordinate of the beginning of the line segment
* @param {number} height the desired height of the line segment
* @param {number} width the desired width of the line segment
* @param {boolean} isEven whether or not the segmented is even-numbered
*/
const drawLineSegment = (ctx, x, height, width, isEven) => {
ctx.lineWidth = 1 // how thick the line is
ctx.strokeStyle = '#fff' // what color our line is
ctx.beginPath()
const h = isEven ? height : -height
ctx.moveTo(x, 0)
ctx.lineTo(x, h)
ctx.arc(x + width / 2, h, width / 2, Math.PI, 0, isEven)
ctx.lineTo(x + width, 0)
ctx.stroke()
}
/**
* Filters the AudioBuffer retrieved from an external source
* @param {AudioBuffer} audioBuffer the AudioBuffer from drawAudio()
* @returns {Array} an array of floating point numbers
*/
const filterData = (audioBuffer) => {
const rawData = audioBuffer.getChannelData(0) // We only need to work with one channel of data
const samples = 70 // Number of samples we want to have in our final data set
const blockSize = Math.floor(rawData.length / samples) // the number of samples in each subdivision
const filteredData = []
for (let i = 0; i < samples; i++) {
const blockStart = blockSize * i // the location of the first sample in the block
let sum = 0
for (let j = 0; j < blockSize; j++) {
sum = sum + Math.abs(rawData[blockStart + j]) // find the sum of all the samples in the block
}
filteredData.push(sum / blockSize) // divide the sum by the block size to get the average
}
return filteredData
}
/**
* Normalizes the audio data to make a cleaner illustration
* @param {Array} filteredData the data from filterData()
* @returns {Array} an normalized array of floating point numbers
*/
const normalizeData = (filteredData) => {
const multiplier = Math.pow(Math.max(...filteredData), -1)
return filteredData.map((n) => n * multiplier)
}
interface SoundwaveProps {
url: String
url: string
context: AudioContext
}
export const Soundwave = (props: SoundwaveProps) => {
let canvasRef: HTMLCanvasElement
/**
* A utility function for drawing our line segments
* @param {AudioContext} ctx the audio context
* @param {number} x the x coordinate of the beginning of the line segment
* @param {number} height the desired height of the line segment
* @param {number} width the desired width of the line segment
* @param {boolean} isEven whether or not the segmented is even-numbered
*/
const drawLineSegment = (ctx, x, height, width, isEven) => {
ctx.lineWidth = 1 // how thick the line is
ctx.strokeStyle = '#fff' // what color our line is
ctx.beginPath()
const h = isEven ? height : -height
ctx.moveTo(x, 0)
ctx.lineTo(x, h)
ctx.arc(x + width / 2, h, width / 2, Math.PI, 0, isEven)
ctx.lineTo(x + width, 0)
ctx.stroke()
}
/**
* Draws the audio file into a canvas element.
@ -58,37 +90,6 @@ export const Soundwave = (props: SoundwaveProps) => {
}
}
/**
* Filters the AudioBuffer retrieved from an external source
* @param {AudioBuffer} audioBuffer the AudioBuffer from drawAudio()
* @returns {Array} an array of floating point numbers
*/
const filterData = (audioBuffer) => {
const rawData = audioBuffer.getChannelData(0) // We only need to work with one channel of data
const samples = 70 // Number of samples we want to have in our final data set
const blockSize = Math.floor(rawData.length / samples) // the number of samples in each subdivision
const filteredData = []
for (let i = 0; i < samples; i++) {
const blockStart = blockSize * i // the location of the first sample in the block
let sum = 0
for (let j = 0; j < blockSize; j++) {
sum = sum + Math.abs(rawData[blockStart + j]) // find the sum of all the samples in the block
}
filteredData.push(sum / blockSize) // divide the sum by the block size to get the average
}
return filteredData
}
/**
* Normalizes the audio data to make a cleaner illustration
* @param {Array} filteredData the data from filterData()
* @returns {Array} an normalized array of floating point numbers
*/
const normalizeData = (filteredData) => {
const multiplier = Math.pow(Math.max(...filteredData), -1)
return filteredData.map((n) => n * multiplier)
}
/**
* Retrieves audio from an external source, the initializes the drawing function
* @param {AudioContext} audioContext the audio context

View File

@ -25,10 +25,10 @@ const colors = [
]
const getById = (letter: string) =>
colors[Math.abs(Number(BigInt(letter.toLowerCase().charCodeAt(0) - 97) % BigInt(colors.length)))]
colors[Math.abs(Number(BigInt(letter.toLowerCase().codePointAt(0) - 97) % BigInt(colors.length)))]
const DialogAvatar = (props: Props) => {
const nameFirstLetter = props.name.substring(0, 1)
const nameFirstLetter = props.name.slice(0, 1)
const randomBg = createMemo(() => {
return getById(nameFirstLetter)
})

View File

@ -7,16 +7,17 @@ type Props = {
online?: boolean
message?: string
counter?: number
} & Author
author?: Author
}
const DialogCard = (props: Props) => {
return (
<div class={styles.DialogCard}>
<div class={styles.avatar}>
<DialogAvatar name={props.name} url={props.userpic} online={props.online} />
<DialogAvatar name={props.author.name} url={props.author.userpic} online={props.online} />
</div>
<div class={styles.row}>
<div class={styles.name}>{props.name}</div>
<div class={styles.name}>{props.author.name}</div>
<div class={styles.message}>
Указать предпочтительные языки для результатов поиска можно в разделе
</div>

View File

@ -53,6 +53,11 @@ const userSearch = (array: Author[], keyword: string) => {
})
}
const postMessage = async (msg: string) => {
const response = await client.mutation(newMessageQuery, { messageBody: msg }).toPromise()
return response.data.createComment
}
export const InboxView = () => {
const [messages, setMessages] = createSignal([])
const [authors, setAuthors] = createSignal<Author[]>([])
@ -84,10 +89,6 @@ export const InboxView = () => {
if (response.error) console.debug('getMessages', response.error)
setMessages(response.data.comments.data)
}
const postMessage = async (msg: string) => {
const response = await client.mutation(newMessageQuery, { messageBody: msg }).toPromise()
return response.data.createComment
}
let chatWindow
onMount(async () => {
@ -109,6 +110,7 @@ export const InboxView = () => {
setPostMessageText('')
chatWindow.scrollTop = chatWindow.scrollHeight
})
.catch(console.error)
}
const handleChangeMessage = (event) => {
setPostMessageText(event.target.value)
@ -131,9 +133,7 @@ export const InboxView = () => {
</div>
<div class="holder">
<div class="dialogs">
<For each={authors()}>
{(author) => <DialogCard name={author.name} slug={author.slug} online={true} />}
</For>
<For each={authors()}>{(author: Author) => <DialogCard author={author} online={true} />}</For>
</div>
</div>
</div>

View File

@ -1,2 +1,2 @@
export const isDev = import.meta.env.VERCEL_ENV === 'development'
export const isDev = import.meta.env.VERCEL_ENV !== 'production'
export const apiBaseUrl = import.meta.env.API_URL