Merge branch 'staging' into or-prompt-post-processing

9b76b6dd3c6f07b367ee50fb6a543105a414e4c4

Cohee <18619528+Cohee1207@users.noreply.github.com>

Parents: fcaea46a54fdcda610dbbdd94446ee6b383dddde 190f2f908594a5bf65dd8e3b0322d254fda26445

.github/workflows/pr-auto-manager.yml+10 -2 Viewed

 jobs:
   label-by-size:
     name: 🏷️ Label PR by Size
+    # This job should run after all others, to prevent possible concurrency issues
+    needs: [label-by-branches, label-by-files, remove-stale-label, check-merge-blocking-labels, write-auto-comments]
     runs-on: ubuntu-latest
     # Only needs to run when code is changed
-    if: github.event.action == 'opened' || github.event.action == 'synchronize'
+    if: always() && (github.event.action == 'opened' || github.event.action == 'synchronize')
     # Override permissions, the labeler needs issues write access
     permissions:

   write-auto-comments:
     name: 💬 Post PR Comments Based on Labels
-    needs: [label-by-size, label-by-branches, label-by-files]
+    needs: [label-by-branches, label-by-files]
     runs-on: ubuntu-latest
     # Run, even if the previous jobs were skipped/failed
     if: always()

     runs-on: ubuntu-latest
     if: github.event.pull_request.merged == true && github.event.pull_request.base.ref == 'staging'
+    # Override permissions, We need to be able to write to issues
+    permissions:
+      contents: read
+      issues: write
+      pull-requests: write
     steps:
       - name: Extract Linked Issues From PR Description
         id: extract_issues

public/script.js+10 -3 Viewed

     GENERATE_AFTER_COMBINE_PROMPTS: 'generate_after_combine_prompts',
     GENERATE_AFTER_DATA: 'generate_after_data',
     GROUP_MEMBER_DRAFTED: 'group_member_drafted',
+    GROUP_WRAPPER_STARTED: 'group_wrapper_started',
+    GROUP_WRAPPER_FINISHED: 'group_wrapper_finished',
     WORLD_INFO_ACTIVATED: 'world_info_activated',
     TEXT_COMPLETION_SETTINGS_READY: 'text_completion_settings_ready',
     CHAT_COMPLETION_SETTINGS_READY: 'chat_completion_settings_ready',

 /**
  * Returns the character card fields for the current character.
+ * @param {object} [options]
+ * @param {number} [options.chid] Optional character index
+ *
  * @typedef {object} CharacterCardFields
  * @property {string} system System prompt
  * @property {string} mesExamples Message examples

  * @property {string} charDepthPrompt Character depth note
  * @returns {CharacterCardFields} Character card fields
  */
-export function getCharacterCardFields() {
+export function getCharacterCardFields({ chid = null } = {}) {
+    const currentChid = chid ?? this_chid;
     const result = {
         system: '',
         mesExamples: '',

     };
     result.persona = baseChatReplace(power_user.persona_description?.trim(), name1, name2);
-    const character = characters[this_chid];
+    const character = characters[currentChid];
     if (!character) {
         return result;

     result.charDepthPrompt = baseChatReplace(character.data?.extensions?.depth_prompt?.prompt?.trim(), name1, name2);
     if (selected_group) {
-        const groupCards = getGroupCharacterCards(selected_group, Number(this_chid));
+        const groupCards = getGroupCharacterCards(selected_group, Number(currentChid));
         if (groupCards) {
             result.description = groupCards.description;

public/scripts/extensions/expressions/index.js+58 -16 Viewed

 import { dragElement, isMobile } from '../../RossAscends-mods.js';
 import { getContext, getApiUrl, modules, extension_settings, ModuleWorkerWrapper, doExtrasFetch, renderExtensionTemplateAsync } from '../../extensions.js';
 import { loadMovingUIState, performFuzzySearch, power_user } from '../../power-user.js';
-import { onlyUnique, debounce, getCharaFilename, trimToEndSentence, trimToStartSentence, waitUntilCondition, findChar } from '../../utils.js';
+import { onlyUnique, debounce, getCharaFilename, trimToEndSentence, trimToStartSentence, waitUntilCondition, findChar, isFalseBoolean } from '../../utils.js';
 import { hideMutedSprites, selected_group } from '../../group-chats.js';
 import { isJsonSchemaSupported } from '../../textgen-settings.js';
 import { debounce_timeout } from '../../constants.js';

 import { generateWebLlmChatPrompt, isWebLlmSupported } from '../shared.js';
 import { Popup, POPUP_RESULT } from '../../popup.js';
 import { t } from '../../i18n.js';
+import { removeReasoningFromString } from '../../reasoning.js';
 export { MODULE_NAME };
 /**

     return '';
+}
-async function classifyCallback(/** @type {{api: string?, prompt: string?}} */ { api = null, prompt = null }, text) {
+async function classifyCallback(/** @type {{api: string?, filter: string?, prompt: string?}} */ { api = null, filter = null, prompt = null }, text) {
     if (!text) {
         toastr.error('No text provided');
         return '';

@@ -689,13 +690,14 @@ async function classifyCallback(/** @type {{api: string?, prompt: string?}} */ {
689	}	690	}
690		691
691	const expressionApi = EXPRESSION_API[api] \|\| extension_settings.expressions.api;	692	const expressionApi = EXPRESSION_API[api] \|\| extension_settings.expressions.api;
		693	const filterAvailable = !isFalseBoolean(filter);
692		694
693	if (!modules.includes('classify') && expressionApi == EXPRESSION_API.extras) {	695	if (!modules.includes('classify') && expressionApi == EXPRESSION_API.extras) {
694	toastr.warning('Text classification is disabled or not available');	696	toastr.warning('Text classification is disabled or not available');
695	return '';	697	return '';
696	}	698	}
697		699
698	const label = await getExpressionLabel(text, expressionApi, { customPrompt: prompt });	700	const label = await getExpressionLabel(text, expressionApi, { filterAvailable: filterAvailable, customPrompt: prompt });
699	console.debug(`Classification result for "${text}": ${label}`);	701	console.debug(`Classification result for "${text}": ${label}`);
700	return label;	702	return label;
701	}	703	}

         return response;
     } catch {
+        // Clean possible reasoning from response
+        emotionResponse = removeReasoningFromString(emotionResponse);
         const fuse = new Fuse(labels, { includeScore: true });
         console.debug('Using fuzzy search in labels:', labels);
         const result = fuse.search(emotionResponse);

  * @param {string} text - The text to classify and retrieve the expression label for.
  * @param {EXPRESSION_API} [expressionsApi=extension_settings.expressions.api] - The expressions API to use for classification.
  * @param {object} [options={}] - Optional arguments.
+ * @param {boolean?} [options.filterAvailable=null] - Whether to filter available expressions. If not specified, uses the extension setting.
  * @param {string?} [options.customPrompt=null] - The custom prompt to use for classification.
  * @returns {Promise<string?>} - The label of the expression.
  */
-export async function getExpressionLabel(text, expressionsApi = extension_settings.expressions.api, { customPrompt = null } = {}) {
+export async function getExpressionLabel(text, expressionsApi = extension_settings.expressions.api, { filterAvailable = null, customPrompt = null } = {}) {
     // Return if text is undefined, saving a costly fetch request
     if ((!modules.includes('classify') && expressionsApi == EXPRESSION_API.extras) || !text) {
         return extension_settings.expressions.fallback_expression;

     text = sampleClassifyText(text);
+    filterAvailable ??= extension_settings.expressions.filterAvailable;
+    if (filterAvailable && ![EXPRESSION_API.llm, EXPRESSION_API.webllm].includes(expressionsApi)) {
+        console.debug('Filter available is only supported for LLM and WebLLM expressions');
+    }
     try {
         switch (expressionsApi) {
             // Local BERT pipeline

                     return extension_settings.expressions.fallback_expression;
+                }
-                const expressionsList = await getExpressionsList();
+                const expressionsList = await getExpressionsList({ filterAvailable: filterAvailable });
                 const prompt = substituteParamsExtended(customPrompt, { labels: expressionsList }) || await getLlmPrompt(expressionsList);
                 eventSource.once(event_types.TEXT_COMPLETION_SETTINGS_READY, onTextGenSettingsReady);
                 const emotionResponse = await generateRaw(text, main_api, false, false, prompt);

                     return extension_settings.expressions.fallback_expression;
+                }
-                const expressionsList = await getExpressionsList();
+                const expressionsList = await getExpressionsList({ filterAvailable: filterAvailable });
                 const prompt = substituteParamsExtended(customPrompt, { labels: expressionsList }) || await getLlmPrompt(expressionsList);
                 const messages = [
                     { role: 'user', content: text + '\n\n' + prompt },

     return [...expressionsList, ...extension_settings.expressions.custom].filter(onlyUnique);
+}
-export async function getExpressionsList() {
+export async function getExpressionsList({ filterAvailable = false } = {}) {
-    // Return cached list if available
+    // If there is no cached list, load and cache it
-    if (Array.isArray(expressionsList)) {
+    if (!Array.isArray(expressionsList)) {
-        return getCachedExpressions();
+        expressionsList = await resolveExpressionsList();
+    }
+    const expressions = getCachedExpressions();
+    // Filtering is only available for llm and webllm APIs
+    if (!filterAvailable || ![EXPRESSION_API.llm, EXPRESSION_API.webllm].includes(extension_settings.expressions.api)) {
+        return expressions;
+    }
+    // Get expressions with available sprites
+    const currentLastMessage = selected_group ? getLastCharacterMessage() : null;
+    const spriteFolderName = getSpriteFolderName(currentLastMessage, currentLastMessage?.name);
+    return expressions.filter(label => {
+        const expression = spriteCache[spriteFolderName]?.find(x => x.label === label);
+        return (expression?.files.length ?? 0) > 0;
+    });
     /**
      * Returns the list of expressions from the API or fallback in offline mode.
      * @returns {Promise<string[]>}

@@ -1372,9 +1399,6 @@ export async function getExpressionsList() {
1372	expressionsList = DEFAULT_EXPRESSIONS.slice();	1399	expressionsList = DEFAULT_EXPRESSIONS.slice();
1373	return expressionsList;	1400	return expressionsList;
1374	}	1401	}
1375
1376	const result = await resolveExpressionsList();
1377	return [...result, ...extension_settings.expressions.custom].filter(onlyUnique);
1378	}	1402	}
1379		1403
1380	/**	1404	/**

@@ -1810,7 +1834,7 @@ async function onClickExpressionUpload(event) {
1810	}	1834	}
1811	}	1835	}
1812	} else {	1836	} else {
1813	spriteName = withoutExtension(clickedFileName);	1837	spriteName = withoutExtension(expression);
1814	}	1838	}
1815		1839
1816	if (!spriteName) {	1840	if (!spriteName) {

             extension_settings.expressions.rerollIfSame = !!$(this).prop('checked');
             saveSettingsDebounced();
         });
+        $('#expressions_filter_available').prop('checked', extension_settings.expressions.filterAvailable).on('input', function () {
+            extension_settings.expressions.filterAvailable = !!$(this).prop('checked');
+            saveSettingsDebounced();
+        });
         $('#expression_override_cleanup_button').on('click', onClickExpressionOverrideRemoveAllButton);
         $(document).on('dragstart', '.expression', (e) => {
             e.preventDefault();

     SlashCommandParser.addCommandObject(SlashCommand.fromProps({
         name: 'expression-list',
         aliases: ['expressions'],
-        /** @type {(args: {return: string}) => Promise<string>} */
+        /** @type {(args: {return: string, filter: string}) => Promise<string>} */
         callback: async (args) => {
             let returnType =
                 /** @type {import('../../slash-commands/SlashCommandReturnHelper.js').SlashCommandReturnType} */
                 (args.return);
-            const list = await getExpressionsList();
+            const list = await getExpressionsList({ filterAvailable: !isFalseBoolean(args.filter) });
             return await slashCommandReturnHelper.doReturn(returnType ?? 'pipe', list, { objectToStringFunc: list => list.join(', ') });
         },

                 enumList: slashCommandReturnHelper.enumList({ allowObject: true }),
                 forceEnum: true,
             }),
+            SlashCommandNamedArgument.fromProps({
+                name: 'filter',
+                description: 'Filter the list to only include expressions that have available sprites for the current character.',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                enumList: commonEnumProviders.boolean('trueFalse')(),
+                defaultValue: 'true',
+            }),
         ],
         returns: 'The comma-separated list of available expressions, including custom expressions.',
         helpString: 'Returns a list of available expressions, including custom expressions.',

                 enumList: Object.keys(EXPRESSION_API).map(api => new SlashCommandEnumValue(api, null, enumTypes.enum)),
             }),
             SlashCommandNamedArgument.fromProps({
+                name: 'filter',
+                description: 'Filter the list to only include expressions that have available sprites for the current character.',
+                typeList: [ARGUMENT_TYPE.BOOLEAN],
+                enumList: commonEnumProviders.boolean('trueFalse')(),
+                defaultValue: 'true',
+            }),
+            SlashCommandNamedArgument.fromProps({
                 name: 'prompt',
                 description: 'Custom prompt for classification. Only relevant if Classifier API is set to LLM.',
                 typeList: [ARGUMENT_TYPE.STRING],

public/scripts/extensions/expressions/settings.html+5 -1 Viewed

                 </select>
             </div>
             <div class="expression_llm_prompt_block m-b-1 m-t-1">
-                <label for="expression_llm_prompt" class="title_restorable">
+                <label class="checkbox_label" for="expressions_filter_available" title="When using LLM or WebLLM classifier, only show and use expressions that have sprites assigned to them." data-i18n="[title]When using LLM or WebLLM classifier, only show and use expressions that have sprites assigned to them.">
+                    <input id="expressions_filter_available" type="checkbox">
+                    <span data-i18n="Filter expressions for available sprites">Filter expressions for available sprites</span>
+                </label>
+                <label for="expression_llm_prompt" class="title_restorable m-t-1">
                     <span data-i18n="LLM Prompt">LLM Prompt</span>
                     <div id="expression_llm_prompt_restore" title="Restore default value" class="right_menu_button">
                         <i class="fa-solid fa-clock-rotate-left fa-sm"></i>

public/scripts/group-chats.js+10 -7 Viewed

      * @param {string} value Value to replace
      * @param {string} fieldName Name of the field
      * @param {string} characterName Name of the character
+     * @param {boolean} trim Whether to trim the value
      * @returns {string} Replaced text
      * */
-    function customBaseChatReplace(value, fieldName, characterName) {
+    function customBaseChatReplace(value, fieldName, characterName, trim) {
         if (!value) {
             return '';
+        }
         // We should do the custom field name replacement first, and then run it through the normal macro engine with provided names
         value = value.replace(/<FIELDNAME>/gi, fieldName);
-        return baseChatReplace(value.trim(), name1, characterName);
+        value = trim ? value.trim() : value;
+        return baseChatReplace(value, name1, characterName);
+    }
     /**

+        }
         // Prepare and replace prefixes
-        const prefix = customBaseChatReplace(group.generation_mode_join_prefix, fieldName, characterName);
+        const prefix = customBaseChatReplace(group.generation_mode_join_prefix, fieldName, characterName, false);
-        const suffix = customBaseChatReplace(group.generation_mode_join_suffix, fieldName, characterName);
+        const suffix = customBaseChatReplace(group.generation_mode_join_suffix, fieldName, characterName, false);
-        const separator = power_user.instruct.wrap ? '\n' : '';
         // Also run the macro replacement on the actual content
-        value = customBaseChatReplace(value, fieldName, characterName);
+        value = customBaseChatReplace(value, fieldName, characterName, true);
-        return `${prefix ? prefix + separator : ''}${value}${suffix ? separator + suffix : ''}`;
+        return `${prefix}${value}${suffix}`;
+    }
     const scenarioOverride = chat_metadata['scenario'];

@@ -904,6 +905,7 @@ async function generateGroupWrapper(by_auto_mode, type = null, params = {}) {
904	groupChatQueueOrder.set(characters[activatedMembers[i]].avatar, i + 1);	905	groupChatQueueOrder.set(characters[activatedMembers[i]].avatar, i + 1);
905	}	906	}
906	}	907	}
		908	await eventSource.emit(event_types.GROUP_WRAPPER_STARTED, { selected_group, type });
907	// now the real generation begins: cycle through every activated character	909	// now the real generation begins: cycle through every activated character
908	for (const chId of activatedMembers) {	910	for (const chId of activatedMembers) {
909	throwIfAborted();	911	throwIfAborted();

         setCharacterName('');
         activateSendButtons();
         showSwipeButtons();
+        await eventSource.emit(event_types.GROUP_WRAPPER_FINISHED,  { selected_group, type });
+    }
     return Promise.resolve(textResult);

src/endpoints/chats.js+4 -5 Viewed

                 continue;
+            }
-            // Search through messages
+            // Search through title and messages of the chat
             const fragments = query.trim().toLowerCase().split(/\s+/).filter(x => x);
-            const hasMatch = messages.some(message => {
+            const text = [chatFile.path.split(/[\\/]/).pop().replace(/.jsonl$/, ''),
-                const text = message?.mes?.toLowerCase();
+                ...messages.map(message => message?.mes)].join('\n').toLowerCase();
-                return text && fragments.every(fragment => text.includes(fragment));
+            const hasMatch = fragments.every(fragment => text.includes(fragment));
-            });
             if (hasMatch) {
                 results.push({