Isolate textarea utils in sub-namespace

This commit is contained in:
DominikDoom
2025-07-12 18:29:06 +02:00
parent 0608706e7d
commit 781cea83a0
2 changed files with 211 additions and 197 deletions

View File

@@ -1,204 +1,218 @@
// Utility functions to select text areas the script should work on,
// including third party options.
// Supported third party options so far:
// - Dataset Tag Editor
// Core text area selectors
const core = [
"#txt2img_prompt > label > textarea",
"#img2img_prompt > label > textarea",
"#txt2img_neg_prompt > label > textarea",
"#img2img_neg_prompt > label > textarea",
".prompt > label > textarea",
"#txt2img_edit_style_prompt > label > textarea",
"#txt2img_edit_style_neg_prompt > label > textarea",
"#img2img_edit_style_prompt > label > textarea",
"#img2img_edit_style_neg_prompt > label > textarea"
];
TAC.TextAreas = new (function () {
// Core text area selectors
const core = [
"#txt2img_prompt > label > textarea",
"#img2img_prompt > label > textarea",
"#txt2img_neg_prompt > label > textarea",
"#img2img_neg_prompt > label > textarea",
".prompt > label > textarea",
"#txt2img_edit_style_prompt > label > textarea",
"#txt2img_edit_style_neg_prompt > label > textarea",
"#img2img_edit_style_prompt > label > textarea",
"#img2img_edit_style_neg_prompt > label > textarea",
];
// Third party text area selectors
const thirdParty = {
"dataset-tag-editor": {
"base": "#tab_dataset_tag_editor_interface",
"hasIds": false,
"selectors": [
"Caption of Selected Image",
"Interrogate Result",
"Edit Caption",
"Edit Tags"
]
},
"image browser": {
"base": "#tab_image_browser",
"hasIds": false,
"selectors": [
"Filename keyword search",
"EXIF keyword search"
]
},
"tab_tagger": {
"base": "#tab_tagger",
"hasIds": false,
"selectors": [
"Additional tags (split by comma)",
"Exclude tags (split by comma)"
]
},
"tiled-diffusion-t2i": {
"base": "#txt2img_script_container",
"hasIds": true,
"onDemand": true,
"selectors": [
"[id^=MD-t2i][id$=prompt] textarea",
"[id^=MD-t2i][id$=prompt] input[type='text']"
]
},
"tiled-diffusion-i2i": {
"base": "#img2img_script_container",
"hasIds": true,
"onDemand": true,
"selectors": [
"[id^=MD-i2i][id$=prompt] textarea",
"[id^=MD-i2i][id$=prompt] input[type='text']"
]
},
"adetailer-t2i": {
"base": "#txt2img_script_container",
"hasIds": true,
"onDemand": true,
"selectors": [
"[id^=script_txt2img_adetailer_ad_prompt] textarea",
"[id^=script_txt2img_adetailer_ad_negative_prompt] textarea"
]
},
"adetailer-i2i": {
"base": "#img2img_script_container",
"hasIds": true,
"onDemand": true,
"selectors": [
"[id^=script_img2img_adetailer_ad_prompt] textarea",
"[id^=script_img2img_adetailer_ad_negative_prompt] textarea"
]
},
"deepdanbooru-object-recognition": {
"base": "#tab_deepdanboru_object_recg_tab",
"hasIds": false,
"selectors": [
"Found tags",
]
},
"TIPO": {
"base": "#tab_txt2img",
"hasIds": false,
"selectors": [
"Tag Prompt"
]
// Third party text area selectors
const thirdParty = {
"dataset-tag-editor": {
base: "#tab_dataset_tag_editor_interface",
hasIds: false,
selectors: [
"Caption of Selected Image",
"Interrogate Result",
"Edit Caption",
"Edit Tags",
],
},
"image browser": {
base: "#tab_image_browser",
hasIds: false,
selectors: ["Filename keyword search", "EXIF keyword search"],
},
tab_tagger: {
base: "#tab_tagger",
hasIds: false,
selectors: ["Additional tags (split by comma)", "Exclude tags (split by comma)"],
},
"tiled-diffusion-t2i": {
base: "#txt2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=MD-t2i][id$=prompt] textarea",
"[id^=MD-t2i][id$=prompt] input[type='text']",
],
},
"tiled-diffusion-i2i": {
base: "#img2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=MD-i2i][id$=prompt] textarea",
"[id^=MD-i2i][id$=prompt] input[type='text']",
],
},
"adetailer-t2i": {
base: "#txt2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=script_txt2img_adetailer_ad_prompt] textarea",
"[id^=script_txt2img_adetailer_ad_negative_prompt] textarea",
],
},
"adetailer-i2i": {
base: "#img2img_script_container",
hasIds: true,
onDemand: true,
selectors: [
"[id^=script_img2img_adetailer_ad_prompt] textarea",
"[id^=script_img2img_adetailer_ad_negative_prompt] textarea",
],
},
"deepdanbooru-object-recognition": {
base: "#tab_deepdanboru_object_recg_tab",
hasIds: false,
selectors: ["Found tags"],
},
TIPO: {
base: "#tab_txt2img",
hasIds: false,
selectors: ["Tag Prompt"],
},
};
this.getTextAreas = function () {
// First get all core text areas
let textAreas = [...gradioApp().querySelectorAll(core.join(", "))];
for (const [key, entry] of Object.entries(thirdParty)) {
if (entry.hasIds) {
// If the entry has proper ids, we can just select them
textAreas = textAreas.concat([
...gradioApp().querySelectorAll(entry.selectors.join(", ")),
]);
} else {
// Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
// Safety check
if (!base) continue;
let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter((ta) =>
[...ta.parentElement.childNodes].some((x) =>
entry.selectors.includes(x.innerText)
)
);
textAreas = textAreas.concat(matchingTextAreas);
}
}
return textAreas;
}
}
function getTextAreas() {
// First get all core text areas
let textAreas = [...gradioApp().querySelectorAll(core.join(", "))];
this.addOnDemandObservers = function (setupFunction) {
for (const [key, entry] of Object.entries(thirdParty)) {
if (!entry.onDemand) continue;
for (const [key, entry] of Object.entries(thirdParty)) {
if (entry.hasIds) { // If the entry has proper ids, we can just select them
textAreas = textAreas.concat([...gradioApp().querySelectorAll(entry.selectors.join(", "))]);
} else { // Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
// Safety check
if (!base) continue;
let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
let accordions = [...base?.querySelectorAll(".gradio-accordion")];
if (!accordions) continue;
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter(ta => [...ta.parentElement.childNodes].some(x => entry.selectors.includes(x.innerText)));
textAreas = textAreas.concat(matchingTextAreas);
}
};
return textAreas;
}
function addOnDemandObservers(setupFunction) {
for (const [key, entry] of Object.entries(thirdParty)) {
if (!entry.onDemand) continue;
let base = gradioApp().querySelector(entry.base);
if (!base) continue;
let accordions = [...base?.querySelectorAll(".gradio-accordion")];
if (!accordions) continue;
accordions.forEach(acc => {
let accObserver = new MutationObserver((mutationList, observer) => {
for (const mutation of mutationList) {
if (mutation.type === "childList") {
let newChildren = mutation.addedNodes;
if (!newChildren) {
accObserver.disconnect();
continue;
}
newChildren.forEach(child => {
if (child.classList.contains("gradio-accordion") || child.querySelector(".gradio-accordion")) {
let newAccordions = [...child.querySelectorAll(".gradio-accordion")];
newAccordions.forEach(nAcc => accObserver.observe(nAcc, { childList: true }));
accordions.forEach((acc) => {
let accObserver = new MutationObserver((mutationList, observer) => {
for (const mutation of mutationList) {
if (mutation.type === "childList") {
let newChildren = mutation.addedNodes;
if (!newChildren) {
accObserver.disconnect();
continue;
}
});
if (entry.hasIds) { // If the entry has proper ids, we can just select them
[...gradioApp().querySelectorAll(entry.selectors.join(", "))].forEach(x => setupFunction(x));
} else { // Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
newChildren.forEach((child) => {
if (
child.classList.contains("gradio-accordion") ||
child.querySelector(".gradio-accordion")
) {
let newAccordions = [
...child.querySelectorAll(".gradio-accordion"),
];
newAccordions.forEach((nAcc) =>
accObserver.observe(nAcc, { childList: true })
);
}
});
// Safety check
if (!base) continue;
if (entry.hasIds) {
// If the entry has proper ids, we can just select them
[
...gradioApp().querySelectorAll(entry.selectors.join(", ")),
].forEach((x) => setupFunction(x));
} else {
// Otherwise, we have to find the text areas by their adjacent labels
let base = gradioApp().querySelector(entry.base);
let allTextAreas = [...base.querySelectorAll("textarea, input[type='text']")];
// Safety check
if (!base) continue;
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter(ta => [...ta.parentElement.childNodes].some(x => entry.selectors.includes(x.innerText)));
matchingTextAreas.forEach(x => setupFunction(x));
let allTextAreas = [
...base.querySelectorAll("textarea, input[type='text']"),
];
// Filter the text areas where the adjacent label matches one of the selectors
let matchingTextAreas = allTextAreas.filter((ta) =>
[...ta.parentElement.childNodes].some((x) =>
entry.selectors.includes(x.innerText)
)
);
matchingTextAreas.forEach((x) => setupFunction(x));
}
}
}
}
});
accObserver.observe(acc, { childList: true });
});
accObserver.observe(acc, { childList: true });
});
};
}
const thirdPartyIdSet = new Set();
// Get the identifier for the text area to differentiate between positive and negative
function getTextAreaIdentifier(textArea) {
let txt2img_p = gradioApp().querySelector('#txt2img_prompt > label > textarea');
let txt2img_n = gradioApp().querySelector('#txt2img_neg_prompt > label > textarea');
let img2img_p = gradioApp().querySelector('#img2img_prompt > label > textarea');
let img2img_n = gradioApp().querySelector('#img2img_neg_prompt > label > textarea');
let modifier = "";
switch (textArea) {
case txt2img_p:
modifier = ".txt2img.p";
break;
case txt2img_n:
modifier = ".txt2img.n";
break;
case img2img_p:
modifier = ".img2img.p";
break;
case img2img_n:
modifier = ".img2img.n";
break;
default:
// If the text area is not a core text area, it must be a third party text area
// Add it to the set of third party text areas and get its index as a unique identifier
if (!thirdPartyIdSet.has(textArea))
thirdPartyIdSet.add(textArea);
modifier = `.thirdParty.ta${[...thirdPartyIdSet].indexOf(textArea)}`;
break;
}
}
return modifier;
}
const thirdPartyIdSet = new Set();
// Get the identifier for the text area to differentiate between positive and negative
this.getTextAreaIdentifier = function (textArea) {
let txt2img_p = gradioApp().querySelector("#txt2img_prompt > label > textarea");
let txt2img_n = gradioApp().querySelector("#txt2img_neg_prompt > label > textarea");
let img2img_p = gradioApp().querySelector("#img2img_prompt > label > textarea");
let img2img_n = gradioApp().querySelector("#img2img_neg_prompt > label > textarea");
let modifier = "";
switch (textArea) {
case txt2img_p:
modifier = ".txt2img.p";
break;
case txt2img_n:
modifier = ".txt2img.n";
break;
case img2img_p:
modifier = ".img2img.p";
break;
case img2img_n:
modifier = ".img2img.n";
break;
default:
// If the text area is not a core text area, it must be a third party text area
// Add it to the set of third party text areas and get its index as a unique identifier
if (!thirdPartyIdSet.has(textArea)) thirdPartyIdSet.add(textArea);
modifier = `.thirdParty.ta${[...thirdPartyIdSet].indexOf(textArea)}`;
break;
}
return modifier;
}
})();

View File

@@ -332,7 +332,7 @@ function createResultsDiv(textArea) {
let sideDiv = document.createElement("div");
let sideDivImg = document.createElement("img");
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let typeClass = textAreaId.replaceAll(".", " ");
parentDiv.setAttribute("class", `autocompleteParent${typeClass}`);
@@ -354,12 +354,12 @@ function createResultsDiv(textArea) {
// Show or hide the results div
function isVisible(textArea) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let parentDiv = gradioApp().querySelector('.autocompleteParent' + textAreaId);
return parentDiv.style.display === "flex";
}
function showResults(textArea) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let parentDiv = gradioApp().querySelector('.autocompleteParent' + textAreaId);
parentDiv.style.display = "flex";
@@ -383,7 +383,7 @@ function showResults(textArea) {
previewDiv.style.display = "none";
}
function hideResults(textArea) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let resultsDiv = gradioApp().querySelector('.autocompleteParent' + textAreaId);
if (!resultsDiv) return;
@@ -513,7 +513,7 @@ async function insertTextAtCursor(textArea, result, tagword, tabCompletedWithout
if (name && name.length > 0) {
// Check if it's a negative prompt
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let isNegative = textAreaId.includes("n");
// Sanitize name for API call
name = encodeURIComponent(name)
@@ -675,7 +675,7 @@ async function insertTextAtCursor(textArea, result, tagword, tabCompletedWithout
}
function addResultsToList(textArea, results, tagword, resetList) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let resultDiv = gradioApp().querySelector('.autocompleteResults' + textAreaId);
let resultsList = resultDiv.querySelector('ul');
@@ -950,7 +950,7 @@ function addResultsToList(textArea, results, tagword, resetList) {
}
async function updateSelectionStyle(textArea, newIndex, oldIndex, scroll = true) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let resultDiv = gradioApp().querySelector('.autocompleteResults' + textAreaId);
let resultsList = resultDiv.querySelector('ul');
let items = resultsList.getElementsByTagName('li');
@@ -999,9 +999,9 @@ function updateRuby(textArea, prompt) {
if (!TAC.CFG.translation.liveTranslation) return;
if (!TAC.CFG.translation.translationFile || TAC.CFG.translation.translationFile === "None") return;
let ruby = gradioApp().querySelector('.acRuby' + getTextAreaIdentifier(textArea));
let ruby = gradioApp().querySelector('.acRuby' + TAC.TextAreas.getTextAreaIdentifier(textArea));
if (!ruby) {
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let typeClass = textAreaId.replaceAll(".", " ");
ruby = document.createElement("div");
ruby.setAttribute("class", `acRuby${typeClass} notranslate`);
@@ -1309,7 +1309,7 @@ async function autocomplete(textArea, prompt, fixedTag = null) {
});
// Check if it's a negative prompt
let textAreaId = getTextAreaIdentifier(textArea);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(textArea);
let isNegative = textAreaId.includes("n");
// Request use counts from the DB
@@ -1492,7 +1492,7 @@ async function refreshEmbeddings() {
function addAutocompleteToArea(area) {
// Return if autocomplete is disabled for the current area type in config
let textAreaId = getTextAreaIdentifier(area);
let textAreaId = TAC.TextAreas.getTextAreaIdentifier(area);
if ((!TAC.CFG.activeIn.img2img && textAreaId.includes("img2img"))
|| (!TAC.CFG.activeIn.txt2img && textAreaId.includes("txt2img"))
|| (!TAC.CFG.activeIn.negativePrompts && textAreaId.includes("n"))
@@ -1550,10 +1550,10 @@ async function setup() {
await TacUtils.processQueue(TAC.Ext.QUEUE_FILE_LOAD, null);
// Find all textareas
let textAreas = getTextAreas();
let textAreas = TAC.TextAreas.getTextAreas();
// Add mutation observer to accordions inside a base that has onDemand set to true
addOnDemandObservers(addAutocompleteToArea);
TAC.TextAreas.addOnDemandObservers(addAutocompleteToArea);
// Add event listener to apply settings button so we can mirror the changes to our internal config
let applySettingsButton = gradioApp().querySelector("#tab_settings #settings_submit") || gradioApp().querySelector("#tab_settings > div > .gr-button-primary");