File size: 9,835 Bytes
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// import { api } from '../../../scripts/api.js'
import { ComfyWidgets } from '../../../scripts/widgets.js'
import { $el } from '../../../scripts/ui.js'
async function getConfig () {
let api_host = `${window.location.hostname}:${window.location.port}`
let api_base = ''
let url = `${window.location.protocol}//${api_host}${api_base}`
const res = await fetch(`${url}/mixlab`, {
method: 'POST'
})
return await res.json()
}
function get_position_style (ctx, widget_width, y, node_height) {
const MARGIN = 4 // the margin around the html element
/* Create a transform that deals with all the scrolling and zooming */
const elRect = ctx.canvas.getBoundingClientRect()
const transform = new DOMMatrix()
.scaleSelf(
elRect.width / ctx.canvas.width,
elRect.height / ctx.canvas.height
)
.multiplySelf(ctx.getTransform())
.translateSelf(MARGIN, MARGIN + y)
return {
transformOrigin: '0 0',
transform: transform,
left: `0`,
top: `0`,
cursor: 'pointer',
position: 'absolute',
maxWidth: `${widget_width - MARGIN * 2}px`,
// maxHeight: `${node_height - MARGIN * 2}px`, // we're assuming we have the whole height of the node
width: `${widget_width - MARGIN * 2}px`,
// height: `${node_height * 0.3 - MARGIN * 2}px`,
// background: '#EEEEEE',
display: 'flex',
flexDirection: 'column',
// alignItems: 'center',
justifyContent: 'space-around'
}
}
const getLocalData = key => {
let data = {}
try {
data = JSON.parse(localStorage.getItem(key)) || {}
} catch (error) {
return {}
}
return data
}
app.registerExtension({
name: 'Mixlab.GPT.ChatGPTOpenAI',
async getCustomWidgets (app) {
return {
KEY (node, inputName, inputData, app) {
// console.log('##inputData', inputData)
const widget = {
type: inputData[0], // the type, CHEESE
name: inputName, // the name, slice
size: [128, 32], // a default size
draw (ctx, node, width, y) {},
computeSize (...args) {
return [128, 32] // a method to compute the current size of the widget
},
async serializeValue (nodeId, widgetIndex) {
let data = getLocalData('_mixlab_api_key')
return data[node.id] || 'by Mixlab'
}
}
// widget.something = something; // maybe adds stuff to it
node.addCustomWidget(widget) // adds it to the node
return widget // and returns it.
},
URL (node, inputName, inputData, app) {
// console.log('node', inputName, inputData[0])
const widget = {
type: inputData[0], // the type, CHEESE
name: inputName, // the name, slice
size: [128, 32], // a default size
draw (ctx, node, width, y) {
// a method to draw the widget (ctx is a CanvasRenderingContext2D)
},
computeSize (...args) {
return [128, 32] // a method to compute the current size of the widget
},
async serializeValue (nodeId, widgetIndex) {
let data = getLocalData('_mixlab_api_url')
return data[node.id] || 'https://api.openai.com/v1'
}
}
// widget.something = something; // maybe adds stuff to it
node.addCustomWidget(widget) // adds it to the node
return widget // and returns it.
}
}
},
async beforeRegisterNodeDef (nodeType, nodeData, app) {
if (nodeType.comfyClass == 'ChatGPTOpenAI') {
const orig_nodeCreated = nodeType.prototype.onNodeCreated
nodeType.prototype.onNodeCreated = function () {
orig_nodeCreated?.apply(this, arguments)
const api_key = this.widgets.filter(w => w.name == 'api_key')[0]
const api_url = this.widgets.filter(w => w.name == 'api_url')[0]
console.log('ChatGPTOpenAI nodeData', this.widgets)
const widget = {
type: 'div',
name: 'chatgptdiv',
draw (ctx, node, widget_width, y, widget_height) {
Object.assign(
this.div.style,
get_position_style(ctx, widget_width, api_key.y, node.size[1])
)
}
}
widget.div = $el('div', {})
document.body.appendChild(widget.div)
const inputDiv = (key, placeholder) => {
let div = document.createElement('div')
const ip = document.createElement('input')
ip.type = placeholder === 'Key' ? 'password' : 'text'
ip.className = `${'comfy-multiline-input'} ${placeholder}`
div.style = `display: flex;
align-items: center;
margin: 6px 8px;
margin-top: 0;`
ip.placeholder = placeholder
ip.value = placeholder
ip.style = `margin-left: 24px;
outline: none;
border: none;
padding: 4px;width: 100%;`
const label = document.createElement('label')
label.style = 'font-size: 10px;min-width:32px'
label.innerText = placeholder
div.appendChild(label)
div.appendChild(ip)
ip.addEventListener('change', () => {
let data = getLocalData(key)
data[this.id] = ip.value.trim()
localStorage.setItem(key, JSON.stringify(data))
console.log(this.id, key)
})
return div
}
let inputKey = inputDiv('_mixlab_api_key', 'Key')
let inputUrl = inputDiv('_mixlab_api_url', 'URL')
widget.div.appendChild(inputKey)
widget.div.appendChild(inputUrl)
this.addCustomWidget(widget)
const onRemoved = this.onRemoved
this.onRemoved = () => {
inputUrl.remove()
inputKey.remove()
widget.div.remove()
return onRemoved?.()
}
this.serialize_widgets = true //需要保存参数
}
}
},
async loadedGraphNode (node, app) {
// Fires every time a node is constructed
// You can modify widgets/add handlers/etc here
if (node.type === 'ChatGPTOpenAI') {
let widget = node.widgets.filter(w => w.div)[0]
let apiKey = getLocalData('_mixlab_api_key'),
url = getLocalData('_mixlab_api_url')
let id = node.id
// console.log('ChatGPTOpenAI serialize_widgets', this)
widget.div.querySelector('.Key').value = apiKey[id] || 'by Mixlab'
widget.div.querySelector('.URL').value =
url[id] || 'https://api.openai.com/v1'
}
}
})
app.registerExtension({
name: 'Mixlab.GPT.ShowTextForGPT',
async beforeRegisterNodeDef (nodeType, nodeData, app) {
if (nodeData.name === 'ShowTextForGPT') {
function populate (text) {
text = text.filter(t => t && t?.trim())
if (this.widgets) {
// console.log('#ShowTextForGPT',this.widgets)
// const pos = this.widgets.findIndex(w => w.name === 'text')
for (let i = 0; i < this.widgets.length; i++) {
if (this.widgets[i].name == 'show_text')
this.widgets[i].onRemove?.()
console.log('#ShowTextForGPT', this.widgets[i])
}
this.widgets.length = 2
}
for (let list of text) {
if (list) {
// console.log('#####', list)
const w = ComfyWidgets['STRING'](
this,
'show_text',
['STRING', { multiline: true }],
app
).widget
w.inputEl.readOnly = true
w.inputEl.style.opacity = 0.6
// w.inputEl.style.display='none'
try {
if (typeof list != 'string') {
let data = JSON.parse(list)
data = Array.from(data, d => {
return {
...d,
content: decodeURIComponent(d.content)
}
})
list = JSON.stringify(data, null, 2)
}
} catch (error) {
console.log(error)
}
w.value = list
}
}
// console.log('ShowTextForGPT',this.widgets.length)
requestAnimationFrame(() => {
if (this) {
const sz = this.computeSize()
if (sz[0] < this.size[0]) {
sz[0] = this.size[0]
}
if (sz[1] < this.size[1]) {
sz[1] = this.size[1]
}
this.onResize?.(sz)
app.graph.setDirtyCanvas(true, false)
}
})
}
// When the node is executed we will be sent the input text, display this in the widget
const onExecuted = nodeType.prototype.onExecuted
nodeType.prototype.onExecuted = function (message) {
onExecuted?.apply(this, arguments)
// console.log('##onExecuted', this, message)
if (message.text) populate.call(this, message.text)
}
const onConfigure = nodeType.prototype.onConfigure
nodeType.prototype.onConfigure = function () {
onConfigure?.apply(this, arguments)
if (this.widgets_values?.length) {
populate.call(this, this.widgets_values)
}
}
this.serialize_widgets = true //需要保存参数
}
},
async loadedGraphNode (node, app) {
if (node.type === 'ShowTextForGPT') {
let widget = node.widgets.filter(w => w.name == 'show_text')[0]
// if (widget.value) {
// let [url, prompt] = widget.value
// this[`wavesurfer_${node.id}`] = updateWaveWidgetValue(
// node.widgets,
// node.id,
// url,
// prompt,
// this[`wavesurfer_${node.id}`]
// )
// }
console.log('#loadedGraphNode', node)
}
}
})
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