Jason HokuandClaude Opus 4.6
8b6158d0df
Two small fixes: 1. Directory scanner sort inversion: The Dashboard's fast-path for oldest/newest sort assumes activeData is stored newest-first (generated sessions prepend new items). The scanner was writing oldest-first, so both sort modes appeared inverted. Fix: sort files by mtime DESCENDING (newest first) and assign gen_index via (total-1-i) so oldest=0, newest=N-1 is preserved. 2. Video click-to-fullscreen removed: Clicking a video in the Dashboard no longer triggers browser fullscreen — the interaction was disruptive. Videos still autoplay when visible and double-click still toggles favorite. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
1994 lines
72 KiB
JavaScript
1994 lines
72 KiB
JavaScript
/**
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* UI COMPONENTS - COMPACT LAYOUT WITH FILTERS POPUP
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* Fixed: Index tag z-index, time tag position
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* Added: Favorites feature, Filters popup, Prompt/Size/Seed filters
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*/
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// --- LABEL MODE FUNCTIONS ---
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/**
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* Compute which values are global (same on every card) across activeData.
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* Called once when label mode is toggled on or when data changes while labels are active.
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*/
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function computeLabelGlobalValues() {
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if (!activeData || activeData.length === 0) {
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labelGlobalValues = null;
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return;
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}
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const fields = ['model', 'lora', 'sampler', 'scheduler', 'cfg', 'steps', 'seed', 'denoise', 'positive',
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'upscale', 'upscaleMode', 'upscaleModel', 'upscaleRatio', 'upscaleDenoise',
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'upscaleResizeMethod', 'upscaleHiresSteps', 'upscaleTiling',
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'hiresPromptBehavior', 'hiresPromptText'];
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const valueSets = {};
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fields.forEach(f => valueSets[f] = new Set());
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for (const item of activeData) {
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valueSets.model.add(item.model || meta.model || "Default");
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valueSets.lora.add(item.lora || "None");
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valueSets.sampler.add(item.sampler || "");
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valueSets.scheduler.add(item.scheduler || "");
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valueSets.cfg.add(String(item.cfg));
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valueSets.steps.add(String(item.steps));
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valueSets.seed.add(String(item.seed));
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valueSets.denoise.add(String(item.denoise));
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valueSets.positive.add(item.positive || meta.positive || "");
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// Upscale composite (for the "all" toggle)
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const upParts = [];
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if (item.upscale_mode) upParts.push(item.upscale_mode);
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if (item.upscale_model) upParts.push(item.upscale_model);
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if (item.upscale_ratio) upParts.push('x' + item.upscale_ratio);
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if (item.upscale_denoise !== undefined && item.upscale_denoise !== null) upParts.push('dn:' + item.upscale_denoise);
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valueSets.upscale.add(upParts.length > 0 ? upParts.join(' ') : '');
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// Individual upscale fields (stringify arrays for set comparison)
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const toStr = (v) => v === undefined || v === null ? '' : (Array.isArray(v) ? JSON.stringify(v) : String(v));
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valueSets.upscaleMode.add(toStr(item.upscale_mode));
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valueSets.upscaleModel.add(toStr(item.upscale_model));
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valueSets.upscaleRatio.add(toStr(item.upscale_ratio));
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valueSets.upscaleDenoise.add(toStr(item.upscale_denoise));
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valueSets.upscaleResizeMethod.add(toStr(item.upscale_resize_method));
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valueSets.upscaleHiresSteps.add(toStr(item.upscale_hires_steps));
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// Tiling composite: combine tiled_vae + tiled_sampling info
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const tileParts = [];
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if (item.upscale_tiled_vae) tileParts.push('VAE:' + toStr(item.upscale_tile_size));
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if (item.upscale_tiled_sampling) tileParts.push('Sample:' + toStr(item.upscale_tile_w) + 'x' + toStr(item.upscale_tile_h));
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valueSets.upscaleTiling.add(tileParts.length > 0 ? tileParts.join(' ') : '');
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valueSets.hiresPromptBehavior.add(toStr(item.hires_prompt_behavior));
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valueSets.hiresPromptText.add(toStr(item.hires_prompt_text));
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}
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// A value is "global" if only 1 unique value exists for that field
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labelGlobalValues = {};
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fields.forEach(f => {
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labelGlobalValues[f] = valueSets[f].size === 1;
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});
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// For lora unique-only: also track which individual loras appear on every card
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if (labelMode.fields.loraUniqueOnly) {
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const loraCountMap = {};
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let totalCards = activeData.length;
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for (const item of activeData) {
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const loraStr = item.lora || "None";
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if (loraStr === "None") continue;
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const parts = loraStr.split(" + ");
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const seen = new Set();
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for (const part of parts) {
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const name = part.split(":")[0];
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if (!seen.has(name)) {
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seen.add(name);
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loraCountMap[name] = (loraCountMap[name] || 0) + 1;
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}
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}
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}
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labelGlobalValues._loraGlobalNames = new Set();
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for (const [name, count] of Object.entries(loraCountMap)) {
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if (count === totalCards) {
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labelGlobalValues._loraGlobalNames.add(name);
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}
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}
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}
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}
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/**
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* Build label overlay HTML for a single card data item.
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*/
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function buildLabelOverlay(d) {
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if (!labelMode.enabled) return '';
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const uniqueOnly = labelMode.fields.loraUniqueOnly;
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const tags = [];
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if (labelMode.fields.model) {
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const val = d.model || meta.model || "Default";
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.model) {
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const short = val.replace(/\\/g, '/').split('/').pop().replace(/\.[^.]+$/, '');
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tags.push(`<span class="label-tag label-model" title="${val}">${short}</span>`);
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}
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}
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if (labelMode.fields.lora) {
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const loraStr = d.lora || "None";
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if (loraStr !== "None") {
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const parts = loraStr.split(" + ");
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for (const part of parts) {
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const components = part.split(":");
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const name = components[0];
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const shortName = name.replace(/\\/g, '/').split('/').pop().replace(/\.[^.]+$/, '');
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// Skip loras that are on every card when unique-only is on
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if (uniqueOnly && labelGlobalValues && labelGlobalValues._loraGlobalNames && labelGlobalValues._loraGlobalNames.has(name)) continue;
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// Show model_str:clip_str like in config_json (e.g. "loraName:1.0:0.8")
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const strength = components.length >= 3 ? `:${components[1]}:${components[2]}` :
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components.length === 2 ? `:${components[1]}` : '';
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tags.push(`<span class="label-tag label-lora" title="${part}">${shortName}${strength}</span>`);
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}
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}
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}
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if (labelMode.fields.prompt) {
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const val = d.positive || meta.positive || "";
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if (val && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.positive)) {
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const short = val.length > 40 ? val.substring(0, 38) + '...' : val;
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tags.push(`<span class="label-tag label-prompt" title="${val}">${short}</span>`);
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}
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}
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if (labelMode.fields.sampler) {
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const val = d.sampler || "";
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if (val && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.sampler)) {
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tags.push(`<span class="label-tag label-sampler">${val}</span>`);
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}
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}
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if (labelMode.fields.scheduler) {
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const val = d.scheduler || "";
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if (val && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.scheduler)) {
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tags.push(`<span class="label-tag label-scheduler">${val}</span>`);
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}
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}
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if (labelMode.fields.cfg) {
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const val = d.cfg;
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if (val !== undefined && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.cfg)) {
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tags.push(`<span class="label-tag label-cfg">CFG:${val}</span>`);
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}
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}
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if (labelMode.fields.steps) {
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const val = d.steps;
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if (val !== undefined && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.steps)) {
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tags.push(`<span class="label-tag label-steps">Steps:${val}</span>`);
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}
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}
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if (labelMode.fields.seed) {
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const val = d.seed;
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if (val !== undefined && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.seed)) {
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tags.push(`<span class="label-tag label-seed">Seed:${val}</span>`);
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}
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}
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if (labelMode.fields.denoise) {
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const val = d.denoise;
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if (val !== undefined && (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.denoise)) {
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tags.push(`<span class="label-tag label-denoise">Dn:${val}</span>`);
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}
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}
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// --- Upscale labels (each on its own line via class) ---
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const anyUpscaleField = labelMode.fields.upscale || labelMode.fields.upscaleMode || labelMode.fields.upscaleModel ||
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labelMode.fields.upscaleRatio || labelMode.fields.upscaleDenoise || labelMode.fields.upscaleResizeMethod ||
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labelMode.fields.upscaleHiresSteps || labelMode.fields.upscaleTiling;
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if (anyUpscaleField && d.upscaled) {
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// Helper: format a value that may be scalar or array (stacking mode) into a display string
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const fmtVal = (v, prefix, transform) => {
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if (v === undefined || v === null) return null;
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const fn = transform || (x => String(x));
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if (Array.isArray(v)) return prefix + v.map(fn).join(', ');
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return prefix + fn(v);
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};
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const shortModelName = (m) => m ? m.replace(/\\/g, '/').split('/').pop().replace(/\.[^.]+$/, '') : '';
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const isStacked = d.upscale_stacked;
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// "Upscale (all)" — combined summary tag
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if (labelMode.fields.upscale) {
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const parts = [];
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if (d.upscale_mode) {
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const modes = Array.isArray(d.upscale_mode) ? d.upscale_mode.map(m => m.replace(/_/g, ' ')).join(', ') : d.upscale_mode.replace(/_/g, ' ');
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parts.push(modes);
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}
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if (d.upscale_model) {
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const models = Array.isArray(d.upscale_model) ? d.upscale_model.map(shortModelName).join(', ') : shortModelName(d.upscale_model);
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parts.push(models);
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}
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if (d.upscale_ratio) {
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const ratios = Array.isArray(d.upscale_ratio) ? d.upscale_ratio.map(r => 'x' + r).join(', ') : 'x' + d.upscale_ratio;
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parts.push(ratios);
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}
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const label = parts.length > 0 ? (isStacked ? '⛓ ' : '') + parts.join(' | ') : 'Upscaled';
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscale) {
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tags.push(`<span class="label-tag label-upscale" title="${label}">${label}</span>`);
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}
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}
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// Individual upscale fields — each on its own line
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if (labelMode.fields.upscaleMode && d.upscale_mode) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleMode) {
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const val = fmtVal(d.upscale_mode, 'Mode: ', m => m.replace(/_/g, ' '));
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tags.push(`<span class="label-tag label-upscale">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleModel && d.upscale_model) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleModel) {
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const raw = d.upscale_model;
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const val = fmtVal(raw, 'Model: ', shortModelName);
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const full = Array.isArray(raw) ? raw.join(', ') : raw;
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tags.push(`<span class="label-tag label-upscale" title="${full}">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleRatio && d.upscale_ratio !== undefined) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleRatio) {
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const val = fmtVal(d.upscale_ratio, 'Ratio: ', r => 'x' + r);
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tags.push(`<span class="label-tag label-upscale">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleDenoise && d.upscale_denoise !== undefined) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleDenoise) {
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const val = fmtVal(d.upscale_denoise, 'Denoise: ');
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tags.push(`<span class="label-tag label-upscale">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleResizeMethod && d.upscale_resize_method) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleResizeMethod) {
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const val = fmtVal(d.upscale_resize_method, 'Resize: ');
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tags.push(`<span class="label-tag label-upscale">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleHiresSteps && d.upscale_hires_steps) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleHiresSteps) {
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const val = fmtVal(d.upscale_hires_steps, 'HiRes Steps: ');
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tags.push(`<span class="label-tag label-upscale">${val}</span>`);
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}
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}
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if (labelMode.fields.upscaleTiling) {
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const tileParts = [];
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if (d.upscale_tiled_vae) {
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const ts = d.upscale_tile_size;
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tileParts.push('VAE Tile: ' + (Array.isArray(ts) ? ts.join(', ') : (ts || 512)));
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}
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if (d.upscale_tiled_sampling) {
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const tw = d.upscale_tile_w;
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const th = d.upscale_tile_h;
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if (Array.isArray(tw)) {
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tileParts.push('Sample Tile: ' + tw.map((w, i) => w + 'x' + (th[i] || w)).join(', '));
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} else {
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tileParts.push('Sample Tile: ' + (tw || 512) + 'x' + (th || 512));
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}
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}
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if (tileParts.length > 0) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscaleTiling) {
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for (const tp of tileParts) {
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tags.push(`<span class="label-tag label-upscale">${tp}</span>`);
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}
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}
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}
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}
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if (labelMode.fields.hiresPromptBehavior && d.hires_prompt_behavior) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.hiresPromptBehavior) {
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const val = fmtVal(d.hires_prompt_behavior, 'HiRes Prompt: ', b => b.replace(/_/g, ' '));
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tags.push(`<span class="label-tag label-hiresPrompt">${val}</span>`);
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}
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}
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if (labelMode.fields.hiresPromptText && d.hires_prompt_text) {
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.hiresPromptText) {
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const text = d.hires_prompt_text;
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const short = text.length > 30 ? text.substring(0, 28) + '...' : text;
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tags.push(`<span class="label-tag label-hiresPrompt" title="${text}">${short}</span>`);
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}
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}
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} else if (anyUpscaleField && !d.upscaled) {
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// Show "No Upscale" only when there's a mix of upscaled and non-upscaled images
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if (!uniqueOnly || !labelGlobalValues || !labelGlobalValues.upscale) {
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const hasAnyUpscaled = activeData && activeData.some(i => i.upscaled);
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if (hasAnyUpscaled) {
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tags.push(`<span class="label-tag label-upscale" style="opacity:0.5;">No Upscale</span>`);
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}
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}
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}
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if (tags.length === 0) return '';
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return `<div class="label-overlay">${tags.join('')}</div>`;
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}
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/**
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* Toggle label mode on/off
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*/
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function toggleLabelMode(enabled) {
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labelMode.enabled = enabled;
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const fieldsContainer = document.getElementById('label-fields-container');
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if (fieldsContainer) fieldsContainer.style.display = enabled ? 'block' : 'none';
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if (enabled) {
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computeLabelGlobalValues();
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}
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saveLabelPreferences();
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refreshLabelOverlays();
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}
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/**
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* Update label field selections from checkboxes
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*/
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function updateLabelFields() {
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const fields = ['model', 'lora', 'prompt', 'sampler', 'scheduler', 'cfg', 'steps', 'seed', 'denoise', 'upscale',
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'upscaleMode', 'upscaleModel', 'upscaleRatio', 'upscaleDenoise', 'upscaleResizeMethod', 'upscaleHiresSteps', 'upscaleTiling',
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'hiresPromptBehavior', 'hiresPromptText'];
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fields.forEach(f => {
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const cb = document.getElementById(`label-field-${f}`);
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if (cb) labelMode.fields[f] = cb.checked;
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});
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const uniqueCb = document.getElementById('label-unique-only');
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if (uniqueCb) labelMode.fields.loraUniqueOnly = uniqueCb.checked;
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if (labelMode.enabled) {
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computeLabelGlobalValues();
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}
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saveLabelPreferences();
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refreshLabelOverlays();
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}
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/**
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* Update label font size from slider
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*/
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function updateLabelSize(size) {
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labelMode.labelSize = parseInt(size);
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const display = document.getElementById('label-size-value');
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if (display) display.textContent = size + 'px';
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// Apply size to all existing label tags via CSS custom property
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document.documentElement.style.setProperty('--label-font-size', size + 'px');
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saveLabelPreferences();
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}
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/**
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* Save label preferences to localStorage
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*/
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function saveLabelPreferences() {
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try {
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localStorage.setItem('ultimate_grid_labels', JSON.stringify(labelMode));
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} catch (e) { /* ignore */ }
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}
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/**
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* Load label preferences from localStorage and sync UI checkboxes
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*/
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function loadLabelPreferences() {
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try {
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const saved = localStorage.getItem('ultimate_grid_labels');
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if (saved) {
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const parsed = JSON.parse(saved);
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labelMode.enabled = parsed.enabled || false;
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if (parsed.labelSize) labelMode.labelSize = parsed.labelSize;
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if (parsed.fields) {
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Object.assign(labelMode.fields, parsed.fields);
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}
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}
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} catch (e) { /* ignore */ }
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// Sync UI checkboxes
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const toggle = document.getElementById('label-mode-toggle');
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if (toggle) toggle.checked = labelMode.enabled;
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// Sync label size slider
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const sizeSlider = document.getElementById('label-size-slider');
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if (sizeSlider) sizeSlider.value = labelMode.labelSize;
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const sizeDisplay = document.getElementById('label-size-value');
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if (sizeDisplay) sizeDisplay.textContent = labelMode.labelSize + 'px';
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document.documentElement.style.setProperty('--label-font-size', labelMode.labelSize + 'px');
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const fieldsContainer = document.getElementById('label-fields-container');
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if (fieldsContainer) fieldsContainer.style.display = labelMode.enabled ? 'block' : 'none';
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const fields = ['model', 'lora', 'prompt', 'sampler', 'scheduler', 'cfg', 'steps', 'seed', 'denoise', 'upscale',
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'upscaleMode', 'upscaleModel', 'upscaleRatio', 'upscaleDenoise', 'upscaleResizeMethod', 'upscaleHiresSteps', 'upscaleTiling',
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'hiresPromptBehavior', 'hiresPromptText'];
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fields.forEach(f => {
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const cb = document.getElementById(`label-field-${f}`);
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if (cb) cb.checked = labelMode.fields[f] || false;
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});
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const uniqueCb = document.getElementById('label-unique-only');
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if (uniqueCb) uniqueCb.checked = labelMode.fields.loraUniqueOnly !== false;
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if (labelMode.enabled) {
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computeLabelGlobalValues();
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}
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}
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/**
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* Refresh label overlays on all visible cards (add/remove/update)
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*/
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function refreshLabelOverlays() {
|
|
for (const [id, card] of nodeMap) {
|
|
const d = card._dataItem;
|
|
if (!d) continue;
|
|
|
|
// Remove existing label overlay
|
|
const existing = card.querySelector('.label-overlay');
|
|
if (existing) existing.remove();
|
|
|
|
// Add new one if enabled
|
|
if (labelMode.enabled) {
|
|
const html = buildLabelOverlay(d);
|
|
if (html) {
|
|
const wrapper = card.querySelector('.img-wrapper');
|
|
if (wrapper) {
|
|
wrapper.insertAdjacentHTML('beforeend', html);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Cache for filter buttons
|
|
let filterButtonCache = {};
|
|
|
|
// Toggle Filters Popup
|
|
function toggleFiltersPopup() {
|
|
const popup = document.getElementById('filters-popup');
|
|
const overlay = document.getElementById('filters-overlay');
|
|
|
|
if (popup.style.display === 'none' || !popup.style.display) {
|
|
popup.style.display = 'block';
|
|
overlay.style.display = 'block';
|
|
document.body.style.overflow = 'hidden'; // Prevent background scroll
|
|
} else {
|
|
popup.style.display = 'none';
|
|
overlay.style.display = 'none';
|
|
document.body.style.overflow = '';
|
|
}
|
|
}
|
|
|
|
|
|
// Toggle Favorites Filter
|
|
function toggleFavoritesFilter() {
|
|
topFilters.showFavorites = !topFilters.showFavorites;
|
|
|
|
const btn = document.getElementById('top-filter-favorites');
|
|
if (btn) {
|
|
if (topFilters.showFavorites) {
|
|
btn.classList.add('active');
|
|
} else {
|
|
btn.classList.remove('active');
|
|
}
|
|
}
|
|
|
|
updateDataPipeline();
|
|
console.log('[Top Filter] Favorites:', topFilters.showFavorites ? 'ON' : 'OFF');
|
|
}
|
|
|
|
// Toggle Non-Favorited Filter
|
|
function toggleNonFavoritedFilter() {
|
|
topFilters.showNonFavorited = !topFilters.showNonFavorited;
|
|
|
|
const btn = document.getElementById('top-filter-nonfavorited');
|
|
if (btn) {
|
|
if (topFilters.showNonFavorited) {
|
|
btn.classList.add('active');
|
|
} else {
|
|
btn.classList.remove('active');
|
|
}
|
|
}
|
|
|
|
updateDataPipeline();
|
|
console.log('[Top Filter] Non-Favorited:', topFilters.showNonFavorited ? 'ON' : 'OFF');
|
|
}
|
|
|
|
// Toggle Rejected Filter
|
|
function toggleRejectedFilter() {
|
|
topFilters.showRejected = !topFilters.showRejected;
|
|
|
|
const btn = document.getElementById('top-filter-rejected');
|
|
if (btn) {
|
|
if (topFilters.showRejected) {
|
|
btn.classList.add('active');
|
|
} else {
|
|
btn.classList.remove('active');
|
|
}
|
|
}
|
|
|
|
updateDataPipeline();
|
|
console.log('[Top Filter] Rejected:', topFilters.showRejected ? 'ON' : 'OFF');
|
|
}
|
|
// Settings Panel Toggle (unified cog + session)
|
|
function toggleCogMenu() {
|
|
const panel = document.getElementById('cog-menu-dropdown');
|
|
const overlay = document.getElementById('cog-menu-overlay');
|
|
if (!panel) return;
|
|
|
|
if (panel.style.display === 'none' || !panel.style.display) {
|
|
panel.style.display = 'block';
|
|
if (overlay) overlay.style.display = 'block';
|
|
document.body.style.overflow = 'hidden';
|
|
} else {
|
|
panel.style.display = 'none';
|
|
if (overlay) overlay.style.display = 'none';
|
|
document.body.style.overflow = '';
|
|
}
|
|
}
|
|
|
|
// Close popup on Escape key
|
|
document.addEventListener('keydown', (e) => {
|
|
if (e.key === 'Escape') {
|
|
// Close Revise modal first (highest priority)
|
|
const reviseModal = document.getElementById('modal');
|
|
if (reviseModal && reviseModal.style.display !== 'none' && reviseModal.style.display !== '') {
|
|
closeM();
|
|
return;
|
|
}
|
|
|
|
// Close analytics results modal
|
|
const analyticsModal = document.getElementById('analytics-results-modal');
|
|
if (analyticsModal) {
|
|
analyticsModal.remove();
|
|
return;
|
|
}
|
|
|
|
// Close settings panel
|
|
const cogPanel = document.getElementById('cog-menu-dropdown');
|
|
if (cogPanel && cogPanel.style.display !== 'none') {
|
|
toggleCogMenu();
|
|
return;
|
|
}
|
|
|
|
// Close filters popup
|
|
const filtersPopup = document.getElementById('filters-popup');
|
|
if (filtersPopup && filtersPopup.style.display !== 'none') {
|
|
toggleFiltersPopup();
|
|
}
|
|
}
|
|
});
|
|
|
|
// Truncate long text with tooltip
|
|
function truncateText(text, maxLength) {
|
|
if (!text) return '';
|
|
if (text.length <= maxLength) return text;
|
|
return text.substring(0, maxLength) + '...';
|
|
}
|
|
|
|
// Initialize Filter Buttons (with caching)
|
|
function initFilters() {
|
|
if (!activeData || activeData.length === 0) return;
|
|
|
|
// Ensure all filter Sets exist (add new ones if missing)
|
|
const filterKeys = ['model', 'sampler', 'scheduler', 'denoise', 'lora', 'positive', 'negative', 'size', 'seed', 'steps', 'cfg', 'upscaleMethod', 'mediaType'];
|
|
filterKeys.forEach(key => {
|
|
if (!filters.hasOwnProperty(key) || !(filters[key] instanceof Set)) {
|
|
filters[key] = new Set();
|
|
}
|
|
});
|
|
|
|
filterKeys.forEach(key => {
|
|
const unique = [...new Set(activeData.map(d => {
|
|
if (key === 'model') return d.model || meta.model || "Default";
|
|
if (key === 'positive') {
|
|
const st = document.getElementById('toggle-triggers')?.checked !== false;
|
|
return st ? (d.positive || meta.positive || "") : (d.config_positive || d.positive || meta.positive || "");
|
|
}
|
|
if (key === 'negative') {
|
|
const st = document.getElementById('toggle-triggers')?.checked !== false;
|
|
return st ? (d.negative || meta.negative || "") : (d.config_negative || d.negative || meta.negative || "");
|
|
}
|
|
if (key === 'size') return `${d.width}x${d.height}`;
|
|
if (key === 'steps') return String(d.steps);
|
|
if (key === 'cfg') return String(d.cfg);
|
|
if (key === 'upscaleMethod') {
|
|
if (!d.upscaled) return 'No Upscale';
|
|
const mode = d.upscale_mode || '';
|
|
const model = d.upscale_model;
|
|
const shortModel = model ? String(model).replace(/\\/g, '/').split('/').pop().replace(/\.[^.]+$/, '') : '';
|
|
return shortModel ? `${mode} + ${shortModel}` : mode || 'Upscaled';
|
|
}
|
|
if (key === 'mediaType') return d.media_type || 'image';
|
|
return d[key];
|
|
}))].sort();
|
|
|
|
const container = document.getElementById('filter-' + key);
|
|
if (!container) return;
|
|
|
|
const cacheKey = unique.join(',');
|
|
if (filterButtonCache[key] === cacheKey) {
|
|
return;
|
|
}
|
|
|
|
filterButtonCache[key] = cacheKey;
|
|
container.innerHTML = '';
|
|
|
|
unique.forEach(val => {
|
|
const safeVal = String(val).replace(/[^a-zA-Z0-9]/g, '');
|
|
const btnId = `btn-${key}-${safeVal}`;
|
|
|
|
let b = document.createElement('button');
|
|
b.id = btnId;
|
|
b.className = `filter-btn active ${key}`;
|
|
|
|
let label = val;
|
|
let fullText = val;
|
|
|
|
// Handle special formatting for different filter types
|
|
if (key === 'lora') {
|
|
if (val === "None") {
|
|
label = "None";
|
|
} else if (val.includes(" + ")) {
|
|
label = "Stack";
|
|
fullText = val.replace(/ \+ /g, '\n');
|
|
} else {
|
|
let clean = val.replace(/\\/g, '/').split('/').pop().split(':')[0];
|
|
label = truncateText(clean, 12);
|
|
fullText = val;
|
|
}
|
|
} else if (key === 'model') {
|
|
let clean = val.replace(/\\/g, '/').split('/').pop();
|
|
label = truncateText(clean, 12);
|
|
fullText = val;
|
|
} else if (key === 'positive' || key === 'negative') {
|
|
// Truncate prompts to 30 characters for button display
|
|
label = truncateText(val, 30);
|
|
fullText = val;
|
|
} else if (key === 'seed') {
|
|
// Display seeds in a more readable format
|
|
label = String(val);
|
|
fullText = val;
|
|
}
|
|
|
|
b.innerText = label;
|
|
b.title = fullText;
|
|
|
|
// Isolate filter: deselect all others, or re-select all if already isolated
|
|
const isolateFilter = () => {
|
|
// Check if this is the only active filter
|
|
const isOnlyActive = filters[key].size === 1 && filters[key].has(val);
|
|
|
|
if (isOnlyActive) {
|
|
// If it's the only one active, select all instead
|
|
unique.forEach(v => filters[key].add(v));
|
|
const allButtons = container.querySelectorAll('.filter-btn');
|
|
allButtons.forEach(btn => btn.classList.add('active'));
|
|
} else {
|
|
// Clear all filters of this type, add only this one
|
|
filters[key].clear();
|
|
filters[key].add(val);
|
|
const allButtons = container.querySelectorAll('.filter-btn');
|
|
allButtons.forEach(btn => btn.classList.remove('active'));
|
|
b.classList.add('active');
|
|
}
|
|
|
|
updateDataPipeline();
|
|
};
|
|
|
|
b.onclick = (e) => {
|
|
// Shift-click: Isolate this filter (deselect all others of this type)
|
|
if (e.shiftKey) {
|
|
e.preventDefault();
|
|
isolateFilter();
|
|
} else {
|
|
// Normal click: Toggle this filter
|
|
if (filters[key].has(val)) {
|
|
filters[key].delete(val);
|
|
b.classList.remove('active');
|
|
} else {
|
|
filters[key].add(val);
|
|
b.classList.add('active');
|
|
}
|
|
|
|
updateDataPipeline();
|
|
}
|
|
};
|
|
|
|
// Double-click: Isolate this filter (same as shift-click)
|
|
b.ondblclick = (e) => {
|
|
e.preventDefault();
|
|
isolateFilter();
|
|
};
|
|
|
|
filters[key].add(val);
|
|
container.appendChild(b);
|
|
});
|
|
});
|
|
}
|
|
|
|
// Toggle trigger word visibility in prompts
|
|
function toggleTriggerWords(showTriggers) {
|
|
// Rebuild filters with new prompt mode
|
|
initFilters();
|
|
updateDataPipeline();
|
|
// If modal is open, refresh prompt display
|
|
if (window.currentModalId) {
|
|
openM(window.currentModalId);
|
|
}
|
|
}
|
|
|
|
|
|
let pendingSaveItems = new Map(); // CHANGED: Set -> Map
|
|
let saveTimer = null;
|
|
const SAVE_BATCH_DELAY = 100;
|
|
|
|
/**
|
|
* OPTIMIZED: Schedule a save that only sends changed items
|
|
*/
|
|
function scheduleBatchedSave() {
|
|
if (saveTimer) {
|
|
clearTimeout(saveTimer);
|
|
}
|
|
|
|
saveTimer = setTimeout(async () => {
|
|
if (pendingSaveItems.size === 0) return;
|
|
|
|
console.log(`[Save] 💾 Sending ${pendingSaveItems.size} changed items to server`);
|
|
|
|
try {
|
|
const sessionName = document.getElementById('session-input')?.value || "default";
|
|
|
|
// Convert Map to array of items
|
|
const changedItems = Array.from(pendingSaveItems.values());
|
|
|
|
// CHANGED: Use new endpoint that only accepts changed items
|
|
const response = await fetch('/config_tester/save_changes', {
|
|
method: 'POST',
|
|
headers: { 'Content-Type': 'application/json' },
|
|
body: JSON.stringify({
|
|
session_name: sessionName,
|
|
changed_items: changedItems // Only changed items!
|
|
})
|
|
});
|
|
|
|
if (!response.ok) {
|
|
throw new Error(`Save failed: ${response.status}`);
|
|
}
|
|
|
|
console.log(`[Save] ✅ Successfully saved ${pendingSaveItems.size} changes`);
|
|
pendingSaveItems.clear();
|
|
|
|
} catch (error) {
|
|
console.error('[Save] ❌ Batch save failed:', error);
|
|
// Don't clear pendingSaveItems - will retry on next change
|
|
}
|
|
}, SAVE_BATCH_DELAY);
|
|
}
|
|
function markItemChanged(item) {
|
|
if (!item || !item.id) return;
|
|
|
|
// Store the full item object, not just the ID
|
|
pendingSaveItems.set(item.id, item);
|
|
scheduleBatchedSave();
|
|
}
|
|
// Lightweight JSON update (separate debounce from save)
|
|
let jsonUpdateTimer = null;
|
|
const JSON_UPDATE_DELAY = 500; // 500ms debounce
|
|
|
|
function scheduleJSONUpdate() {
|
|
if (jsonUpdateTimer) {
|
|
clearTimeout(jsonUpdateTimer);
|
|
}
|
|
|
|
jsonUpdateTimer = setTimeout(() => {
|
|
updateJSONs(processedData);
|
|
}, JSON_UPDATE_DELAY);
|
|
}
|
|
|
|
// Toggle Favorite
|
|
|
|
async function toggleFavorite(element) {
|
|
// [OPTIMIZATION] Find parent card and grab data directly (O(1) access)
|
|
// No getElementById, no array.find, no iteration.
|
|
const card = element.closest('.card');
|
|
if (!card || !card._dataItem) return;
|
|
|
|
const item = card._dataItem;
|
|
|
|
// Update Data
|
|
item.favorited = !item.favorited;
|
|
|
|
// Update UI - Scope querySelector to just this card for extra speed
|
|
const favBtn = card.querySelector('.favorite-btn');
|
|
|
|
if (favBtn) {
|
|
favBtn.classList.toggle('favorited', item.favorited);
|
|
favBtn.innerText = item.favorited ? '★' : '☆';
|
|
|
|
// Simple animation
|
|
favBtn.style.transform = 'scale(1.2)';
|
|
setTimeout(() => favBtn.style.transform = 'scale(1)', 120);
|
|
}
|
|
|
|
markItemChanged(item);
|
|
scheduleJSONUpdate();
|
|
}
|
|
|
|
|
|
/**
|
|
* Show error alert popup with details
|
|
*/
|
|
function showSaveErrorAlert(title, message, technicalDetails = '') {
|
|
// Remove any existing error alert
|
|
const existingAlert = document.getElementById('save-error-alert');
|
|
if (existingAlert) {
|
|
existingAlert.remove();
|
|
}
|
|
|
|
// Create overlay
|
|
const overlay = document.createElement('div');
|
|
overlay.id = 'save-error-alert';
|
|
overlay.className = 'error-alert-overlay';
|
|
|
|
// Create popup
|
|
const popup = document.createElement('div');
|
|
popup.className = 'error-alert-popup';
|
|
|
|
// Build details section if we have technical info
|
|
const detailsHtml = technicalDetails ? `
|
|
<details class="error-alert-details">
|
|
<summary>Technical Details</summary>
|
|
<pre>${technicalDetails}</pre>
|
|
</details>
|
|
` : '';
|
|
|
|
popup.innerHTML = `
|
|
<div class="error-alert-header">
|
|
<span class="error-alert-icon">⚠️</span>
|
|
<h3>${title}</h3>
|
|
</div>
|
|
<p class="error-alert-message">${message}</p>
|
|
${detailsHtml}
|
|
<div class="error-alert-actions">
|
|
<button class="error-alert-button error-alert-button-primary" onclick="this.closest('.error-alert-overlay').remove()">
|
|
OK
|
|
</button>
|
|
</div>
|
|
`;
|
|
|
|
overlay.appendChild(popup);
|
|
document.body.appendChild(overlay);
|
|
|
|
// Close on overlay click
|
|
overlay.addEventListener('click', (e) => {
|
|
if (e.target === overlay) {
|
|
overlay.remove();
|
|
}
|
|
});
|
|
|
|
// Close on Escape key
|
|
const escHandler = (e) => {
|
|
if (e.key === 'Escape') {
|
|
overlay.remove();
|
|
document.removeEventListener('keydown', escHandler);
|
|
}
|
|
};
|
|
document.addEventListener('keydown', escHandler);
|
|
|
|
// Auto-close after 12 seconds
|
|
setTimeout(() => {
|
|
if (overlay.parentNode) {
|
|
overlay.style.opacity = '0';
|
|
setTimeout(() => overlay.remove(), 200);
|
|
}
|
|
}, 12000);
|
|
}
|
|
|
|
|
|
// Build a pure ComfyUI nodes workflow JSON from image config data
|
|
// Reusable version of the clipboard copy logic — returns the workflow object
|
|
function buildComfyNodesWorkflow(d) {
|
|
// Parse LoRA string into array
|
|
const loras = [];
|
|
if (d.lora && d.lora !== "None") {
|
|
// Fix: Filter empty entries to prevent 'ghost' nodes from trailing " + "
|
|
const loraEntries = d.lora.split(' + ').filter(e => e.trim().length > 0);
|
|
loraEntries.forEach(entry => {
|
|
const parts = entry.split(':');
|
|
const name = parts[0];
|
|
const strength_model = parseFloat(parts[1] || 1.0);
|
|
const strength_clip = parseFloat(parts[2] || strength_model);
|
|
loras.push({ name, strength_model, strength_clip });
|
|
});
|
|
}
|
|
|
|
// Generate node IDs
|
|
let nodeId = 1;
|
|
const checkpointNode = nodeId++;
|
|
const loraNodes = loras.map(() => nodeId++);
|
|
const positiveClipNode = nodeId++;
|
|
const negativeClipNode = nodeId++;
|
|
const emptyLatentNode = nodeId++;
|
|
const ksamplerNode = nodeId++;
|
|
const vaeDecodeNode = nodeId++;
|
|
const previewNode = nodeId++;
|
|
|
|
if (!crypto.randomUUID) {
|
|
crypto.randomUUID = function () {
|
|
return ([1e7] + -1e3 + -4e3 + -8e3 + -1e11).replace(/[018]/g, c =>
|
|
(c ^ crypto.getRandomValues(new Uint8Array(1))[0] & 15 >> c / 4).toString(16)
|
|
);
|
|
};
|
|
}
|
|
|
|
// Build the workflow JSON
|
|
const workflow = {
|
|
id: crypto.randomUUID(),
|
|
revision: 0,
|
|
last_node_id: nodeId - 1,
|
|
last_link_id: 100, // We will update this at the end
|
|
nodes: [],
|
|
links: [],
|
|
groups: [],
|
|
config: {},
|
|
extra: {
|
|
workflowRendererVersion: "LG",
|
|
ds: { scale: 0.573, offset: [488, 377] }
|
|
},
|
|
version: 0.4
|
|
};
|
|
|
|
// --- 1. CREATE NODES ---
|
|
// (This section remains mostly the same, just ensured clean initialization)
|
|
|
|
// Checkpoint
|
|
workflow.nodes.push({
|
|
id: checkpointNode,
|
|
type: "CheckpointLoaderSimple",
|
|
pos: [-200, 60],
|
|
size: [315, 98],
|
|
flags: {}, order: 0, mode: 0,
|
|
inputs: [],
|
|
outputs: [
|
|
{ name: "MODEL", type: "MODEL", links: [] },
|
|
{ name: "CLIP", type: "CLIP", links: [] },
|
|
{ name: "VAE", type: "VAE", links: [] }
|
|
],
|
|
properties: { "Node name for S&R": "CheckpointLoaderSimple" },
|
|
widgets_values: [d.model || "XL\\waiANIPONYXL_v140_fp8_e4m3fn_full.safetensors"]
|
|
});
|
|
|
|
// LoRAs
|
|
loras.forEach((lora, index) => {
|
|
workflow.nodes.push({
|
|
id: loraNodes[index],
|
|
type: "LoraLoader",
|
|
pos: [170 + (index * 312), 60],
|
|
size: [270, 126],
|
|
flags: {}, order: index + 1, mode: 0,
|
|
inputs: [
|
|
{ name: "model", type: "MODEL", link: null },
|
|
{ name: "clip", type: "CLIP", link: null }
|
|
],
|
|
outputs: [
|
|
{ name: "MODEL", type: "MODEL", links: [] },
|
|
{ name: "CLIP", type: "CLIP", links: [] }
|
|
],
|
|
properties: { "Node name for S&R": "LoraLoader" },
|
|
widgets_values: [String(lora.name).replace(/\//g, "\\"), lora.strength_model, lora.strength_clip]
|
|
});
|
|
});
|
|
|
|
const posX = 910 + (loras.length * 312);
|
|
|
|
// Positive Clip
|
|
workflow.nodes.push({
|
|
id: positiveClipNode,
|
|
type: "CLIPTextEncode",
|
|
pos: [posX, 3.52],
|
|
size: [460, 190],
|
|
flags: {}, order: loras.length + 1, mode: 0,
|
|
inputs: [{ name: "clip", type: "CLIP", link: null }],
|
|
outputs: [{ name: "CONDITIONING", type: "CONDITIONING", links: [] }],
|
|
properties: { "Node name for S&R": "CLIPTextEncode" },
|
|
widgets_values: [d.positive || ""]
|
|
});
|
|
|
|
// Negative Clip
|
|
workflow.nodes.push({
|
|
id: negativeClipNode,
|
|
type: "CLIPTextEncode",
|
|
pos: [posX, 240],
|
|
size: [470, 200],
|
|
flags: {}, order: loras.length + 2, mode: 0,
|
|
inputs: [{ name: "clip", type: "CLIP", link: null }],
|
|
outputs: [{ name: "CONDITIONING", type: "CONDITIONING", links: [] }],
|
|
properties: { "Node name for S&R": "CLIPTextEncode" },
|
|
widgets_values: [d.negative || ""]
|
|
});
|
|
|
|
// Empty Latent
|
|
workflow.nodes.push({
|
|
id: emptyLatentNode,
|
|
type: "EmptyLatentImage",
|
|
pos: [posX + 130, 510],
|
|
size: [270, 106],
|
|
flags: {}, order: 1, mode: 0,
|
|
inputs: [],
|
|
outputs: [{ name: "LATENT", type: "LATENT", links: [] }],
|
|
properties: { "Node name for S&R": "EmptyLatentImage" },
|
|
widgets_values: [d.width || 1080, d.height || 1584, 1]
|
|
});
|
|
|
|
// KSampler
|
|
const sampX = posX + 510;
|
|
workflow.nodes.push({
|
|
id: ksamplerNode,
|
|
type: "KSampler",
|
|
pos: [sampX, 23.52],
|
|
size: [315, 708],
|
|
flags: {}, order: loras.length + 3, mode: 0,
|
|
inputs: [
|
|
{ name: "model", type: "MODEL", link: null },
|
|
{ name: "positive", type: "CONDITIONING", link: null },
|
|
{ name: "negative", type: "CONDITIONING", link: null },
|
|
{ name: "latent_image", type: "LATENT", link: null }
|
|
],
|
|
outputs: [{ name: "LATENT", type: "LATENT", links: [] }],
|
|
properties: { "Node name for S&R": "KSampler" },
|
|
widgets_values: [
|
|
d.seed || 0, "fixed", d.steps || 25, d.cfg || 7,
|
|
d.sampler || "dpmpp_2m", d.scheduler || "karras", d.denoise || 1
|
|
]
|
|
});
|
|
|
|
// VAE Decode
|
|
workflow.nodes.push({
|
|
id: vaeDecodeNode,
|
|
type: "VAEDecode",
|
|
pos: [sampX + 390, 33],
|
|
size: [210, 46],
|
|
flags: {}, order: loras.length + 4, mode: 0,
|
|
inputs: [
|
|
{ name: "samples", type: "LATENT", link: null },
|
|
{ name: "vae", type: "VAE", link: null }
|
|
],
|
|
outputs: [{ name: "IMAGE", type: "IMAGE", links: [] }],
|
|
properties: { "Node name for S&R": "VAEDecode" },
|
|
widgets_values: []
|
|
});
|
|
|
|
// Preview
|
|
workflow.nodes.push({
|
|
id: previewNode,
|
|
type: "PreviewImage",
|
|
pos: [sampX + 370, 173],
|
|
size: [418, 556],
|
|
flags: {}, order: loras.length + 5, mode: 0,
|
|
inputs: [{ name: "images", type: "IMAGE", link: null }],
|
|
outputs: [],
|
|
properties: { "Node name for S&R": "PreviewImage" },
|
|
widgets_values: []
|
|
});
|
|
|
|
|
|
// --- 2. WIRE NODES (THE FIX) ---
|
|
|
|
const getNode = (id) => workflow.nodes.find(n => n.id === id);
|
|
let linkId = 1;
|
|
|
|
// TRACKERS: These hold the ID of the node currently supplying the signal
|
|
// We start with the Checkpoint
|
|
let currentModelSource = { id: checkpointNode, slot: 0 };
|
|
let currentClipSource = { id: checkpointNode, slot: 1 };
|
|
|
|
// 1. Loop through LoRAs and Daisy Chain them
|
|
// Checkpoint -> Lora1 -> Lora2 -> ...
|
|
for (let i = 0; i < loras.length; i++) {
|
|
const thisLoraId = loraNodes[i];
|
|
|
|
// Wire MODEL: Previous Output -> This Lora Input
|
|
workflow.links.push([linkId, currentModelSource.id, currentModelSource.slot, thisLoraId, 0, "MODEL"]);
|
|
getNode(currentModelSource.id).outputs[currentModelSource.slot].links.push(linkId);
|
|
getNode(thisLoraId).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// Wire CLIP: Previous Output -> This Lora Input
|
|
workflow.links.push([linkId, currentClipSource.id, currentClipSource.slot, thisLoraId, 1, "CLIP"]);
|
|
getNode(currentClipSource.id).outputs[currentClipSource.slot].links.push(linkId);
|
|
getNode(thisLoraId).inputs[1].link = linkId;
|
|
linkId++;
|
|
|
|
// Update Trackers: The output of THIS Lora is now the source for the next step
|
|
currentModelSource = { id: thisLoraId, slot: 0 };
|
|
currentClipSource = { id: thisLoraId, slot: 1 };
|
|
}
|
|
|
|
// 2. Connect Final Signal (from last LoRA or Checkpoint) to Engines
|
|
|
|
// Final Model -> KSampler
|
|
workflow.links.push([linkId, currentModelSource.id, currentModelSource.slot, ksamplerNode, 0, "MODEL"]);
|
|
getNode(currentModelSource.id).outputs[currentModelSource.slot].links.push(linkId);
|
|
getNode(ksamplerNode).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// Final CLIP -> Positive Prompt
|
|
workflow.links.push([linkId, currentClipSource.id, currentClipSource.slot, positiveClipNode, 0, "CLIP"]);
|
|
getNode(currentClipSource.id).outputs[currentClipSource.slot].links.push(linkId);
|
|
getNode(positiveClipNode).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// Final CLIP -> Negative Prompt (Shared link logic, but new link ID for Comfy)
|
|
workflow.links.push([linkId, currentClipSource.id, currentClipSource.slot, negativeClipNode, 0, "CLIP"]);
|
|
getNode(currentClipSource.id).outputs[currentClipSource.slot].links.push(linkId);
|
|
getNode(negativeClipNode).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// 3. Connect the rest of the standard components
|
|
|
|
// VAE: Checkpoint -> VAE Decode
|
|
workflow.links.push([linkId, checkpointNode, 2, vaeDecodeNode, 1, "VAE"]);
|
|
getNode(checkpointNode).outputs[2].links.push(linkId);
|
|
getNode(vaeDecodeNode).inputs[1].link = linkId;
|
|
linkId++;
|
|
|
|
// Conditioning: Positive -> KSampler
|
|
workflow.links.push([linkId, positiveClipNode, 0, ksamplerNode, 1, "CONDITIONING"]);
|
|
getNode(positiveClipNode).outputs[0].links.push(linkId);
|
|
getNode(ksamplerNode).inputs[1].link = linkId;
|
|
linkId++;
|
|
|
|
// Conditioning: Negative -> KSampler
|
|
workflow.links.push([linkId, negativeClipNode, 0, ksamplerNode, 2, "CONDITIONING"]);
|
|
getNode(negativeClipNode).outputs[0].links.push(linkId);
|
|
getNode(ksamplerNode).inputs[2].link = linkId;
|
|
linkId++;
|
|
|
|
// Latent: Empty Latent -> KSampler
|
|
workflow.links.push([linkId, emptyLatentNode, 0, ksamplerNode, 3, "LATENT"]);
|
|
getNode(emptyLatentNode).outputs[0].links.push(linkId);
|
|
getNode(ksamplerNode).inputs[3].link = linkId;
|
|
linkId++;
|
|
|
|
// Latent: KSampler -> VAE Decode
|
|
workflow.links.push([linkId, ksamplerNode, 0, vaeDecodeNode, 0, "LATENT"]);
|
|
getNode(ksamplerNode).outputs[0].links.push(linkId);
|
|
getNode(vaeDecodeNode).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// Image: VAE Decode -> Preview
|
|
workflow.links.push([linkId, vaeDecodeNode, 0, previewNode, 0, "IMAGE"]);
|
|
getNode(vaeDecodeNode).outputs[0].links.push(linkId);
|
|
getNode(previewNode).inputs[0].link = linkId;
|
|
linkId++;
|
|
|
|
// Update workflow config
|
|
workflow.last_link_id = linkId;
|
|
return workflow;
|
|
}
|
|
|
|
|
|
function copyConfigsAsComfyNodes(id) {
|
|
// console.log(param)
|
|
|
|
|
|
const d = activeData.find(x => x.id === id);
|
|
if (!d) {
|
|
alert('Configuration data not found!');
|
|
return;
|
|
}
|
|
|
|
try {
|
|
const workflow = buildComfyNodesWorkflow(d);
|
|
|
|
// Copy to clipboard logic (Standard)
|
|
const jsonString = JSON.stringify(workflow, null, 2);
|
|
|
|
const copyToClipboard = async (text) => {
|
|
try {
|
|
await navigator.clipboard.writeText(text);
|
|
return true;
|
|
} catch {
|
|
const textarea = document.createElement('textarea');
|
|
textarea.value = text;
|
|
textarea.style.position = 'fixed';
|
|
textarea.style.opacity = '0';
|
|
document.body.appendChild(textarea);
|
|
textarea.select();
|
|
const success = document.execCommand('copy');
|
|
document.body.removeChild(textarea);
|
|
return success;
|
|
}
|
|
};
|
|
|
|
copyToClipboard(jsonString).then((success) => {
|
|
if (success) {
|
|
alert('✅ ComfyUI workflow copied to clipboard!\n\nYou can now paste this into ComfyUI.');
|
|
console.log('[ComfyUI] Workflow copied:', workflow);
|
|
}
|
|
}).catch(err => {
|
|
console.error('[ComfyUI] Failed to copy:', err);
|
|
alert('❌ Failed to copy to clipboard. JSON logged to console.');
|
|
console.log('ComfyUI Workflow JSON:', jsonString);
|
|
});
|
|
|
|
} catch (error) {
|
|
console.error('[ComfyUI] Error generating workflow:', error);
|
|
alert('❌ Error generating workflow: ' + error.message);
|
|
}
|
|
}
|
|
|
|
|
|
// Create card - FIXED UI LAYOUT WITH FAVORITE BUTTON
|
|
function createCard(d) {
|
|
const totalIndex = idToIndexMap.get(d.id) || 0;
|
|
const card = document.createElement('div');
|
|
card.className = 'card';
|
|
card.id = `card-${d.id}`;
|
|
card.dataset.id = d.id;
|
|
card._dataItem = d;
|
|
// Check if favorited
|
|
const isFavorited = d.favorited || false;
|
|
const favClass = isFavorited ? 'favorited' : '';
|
|
const favIcon = isFavorited ? '★' : '☆';
|
|
|
|
// Calculate LoRA display
|
|
let loraLine = "";
|
|
if (d.lora === "None") {
|
|
loraLine = `<div class="stat"><b>LoRA:</b> <span style="opacity:0.3">-</span></div>`;
|
|
} else if (d.lora.includes(" + ")) {
|
|
const count = d.lora.split(" + ").length;
|
|
loraLine = `<div class="stat" title="${d.lora.replace(/ \+ /g, '\n')}"><b>LoRA:</b><br /> <span style="color:var(--accent-lora)">(${d.lora.replace(/ \+ /g, '\n')})</span></div>`;
|
|
} else {
|
|
const rawName = String(d.lora);
|
|
let fileName = rawName.replace(/\\/g, '/').split('/').pop().split(':')[0];
|
|
if (fileName.length > 20) fileName = fileName.substring(0, 18) + '...';
|
|
loraLine = `<div class="stat" title="${d.lora}"><b>LoRA:</b> <span>${fileName}</span></div>`;
|
|
}
|
|
|
|
let promptInfo = "";
|
|
// Always show prompt info if available
|
|
if (d.positive || meta.positive) {
|
|
const promptText = d.positive || meta.positive || "";
|
|
const shortPrompt = truncateText(promptText, 30);
|
|
promptInfo = `<div class="stat" title="${promptText}"><b>Pos:</b> ${shortPrompt}</div>`;
|
|
}
|
|
|
|
const modelName = d.model || meta.model || "Default";
|
|
const shortModel = modelName.replace(/\\/g, '/').split('/').pop();
|
|
const finalModel = shortModel.length > 25 ? shortModel.substring(0, 22) + "..." : shortModel;
|
|
|
|
// Calculate aspect ratio
|
|
const aspectRatio = (d.width && d.height) ? (d.height / d.width) : 1;
|
|
const paddingBottom = (aspectRatio * 100).toFixed(2);
|
|
|
|
// Detect video vs image and prepare variants
|
|
const isVideo = d.media_type === 'video';
|
|
const mediaElement = isVideo
|
|
? `<video ondblclick="toggleFavorite(this)" data-src="${d.file}" muted loop playsinline preload="metadata" draggable="false"></video>`
|
|
: `<img ondblclick="toggleFavorite(this)" data-src="${d.file}" alt="Image ${d.id}" draggable="false">`;
|
|
const reviseBtn = isVideo ? '' : `<button class="revise-btn" onclick="openM(${d.id})">REVISE</button>`;
|
|
const upscaleBtn = isVideo ? '' : `<button class="upscale-btn" onclick="openUpscaleModal(${d.id})" title="Upscale this image">\u2B06</button>`;
|
|
const videoBadge = isVideo ? '<div class="video-badge">\u25B6 VIDEO</div>' : '';
|
|
|
|
// FIXED LAYOUT: Star top-right, Revise below it, time bottom-right, index bottom-left
|
|
card.innerHTML = `
|
|
<div class="img-wrapper" style="padding-bottom: ${paddingBottom}%;">
|
|
${mediaElement}
|
|
<button class="reject-btn" onclick="rejectItem(this)">✕</button>
|
|
<button class="favorite-btn ${favClass}" onclick="toggleFavorite(this)">${favIcon}</button>
|
|
${reviseBtn}
|
|
${upscaleBtn}
|
|
${videoBadge}
|
|
<div class="time-tag">${d.duration}s</div>
|
|
<div class="index-tag">#${totalIndex}</div>
|
|
${buildLabelOverlay(d)}
|
|
</div>
|
|
<div class="info">
|
|
<div class="stat" title="${modelName}"><b>Model:</b> <span>${finalModel}</span></div>
|
|
|
|
${loraLine}
|
|
<div class="stat"><b>Smp:</b> <span>${d.sampler} / ${d.scheduler}</span></div>
|
|
<div class="stat">
|
|
<b>Cfg:</b> ${d.cfg} <b>Stp:</b> ${d.steps} <b>Dn:</b> <span style="color:var(--accent-denoise)">${d.denoise}</span>
|
|
</div>
|
|
|
|
${promptInfo}
|
|
<div class="stat"><b>Size:</b> ${d.width}x${d.height} <b>Seed:</b> ${d.seed}</div>
|
|
</div>`;
|
|
|
|
// For videos: autoplay is handled by the virtual scroll lifecycle in logic_virtual.js.
|
|
// Double-click still toggles favorite (inherited from the ondblclick attribute).
|
|
// loadedmetadata updates per-card aspect ratio as a safety net for unprobed videos.
|
|
if (isVideo) {
|
|
const videoEl = card.querySelector('video');
|
|
if (videoEl) {
|
|
videoEl.addEventListener('loadedmetadata', function() {
|
|
if (videoEl.videoWidth && videoEl.videoHeight) {
|
|
d.width = videoEl.videoWidth;
|
|
d.height = videoEl.videoHeight;
|
|
const ar = videoEl.videoHeight / videoEl.videoWidth;
|
|
const wrapper = card.querySelector('.img-wrapper');
|
|
if (wrapper) wrapper.style.paddingBottom = (ar * 100).toFixed(2) + '%';
|
|
}
|
|
});
|
|
}
|
|
}
|
|
|
|
return card;
|
|
}
|
|
|
|
// Open Revision Modal
|
|
function openM(id) {
|
|
window.currentModalId = id;
|
|
const d = activeData.find(x => x.id === id);
|
|
if (!d) return;
|
|
document.getElementById('m-img').src = d.file;
|
|
console.log(d)
|
|
// Populate read-only info fields
|
|
const modelEl = document.getElementById('f-model');
|
|
const seedEl = document.getElementById('f-seed');
|
|
const posEl = document.getElementById('f-pos');
|
|
const negEl = document.getElementById('f-neg');
|
|
|
|
if (modelEl) modelEl.value = d.model || meta.model || "Default";
|
|
if (seedEl) seedEl.value = d.seed || 0;
|
|
// Check trigger word toggle
|
|
const showTriggers = document.getElementById('toggle-triggers')?.checked !== false;
|
|
if (posEl) posEl.value = showTriggers
|
|
? (d.positive || meta.positive || "")
|
|
: (d.config_positive || d.positive || meta.positive || "");
|
|
if (negEl) negEl.value = showTriggers
|
|
? (d.negative || meta.negative || "")
|
|
: (d.config_negative || d.negative || meta.negative || "");
|
|
|
|
// Populate editable parameter fields
|
|
const map = {
|
|
'smp': d.sampler,
|
|
'sch': d.scheduler,
|
|
'stp': d.steps,
|
|
'cfg': d.cfg,
|
|
'den': d.denoise,
|
|
'lor': d.lora
|
|
};
|
|
|
|
for (let k in map) {
|
|
const el = document.getElementById('f-' + k);
|
|
if (el) el.value = map[k];
|
|
}
|
|
|
|
// Populate related variants reel
|
|
const r = document.getElementById('reel');
|
|
r.innerHTML = '';
|
|
|
|
activeData.forEach(x => {
|
|
if (x.rejected) return;
|
|
if (x.seed === d.seed) {
|
|
const i = document.createElement('img');
|
|
i.src = x.file;
|
|
i.onclick = () => openM(x.id);
|
|
if (x.id === id) i.style.borderColor = "var(--accent)";
|
|
r.appendChild(i);
|
|
}
|
|
});
|
|
|
|
document.getElementById('modal').style.display = 'flex';
|
|
}
|
|
|
|
function closeM() {
|
|
document.getElementById('modal').style.display = 'none';
|
|
}
|
|
|
|
// THROTTLED JSON Updates
|
|
let jsonUpdateTimeout = null;
|
|
|
|
function updateJSONs(visible) {
|
|
if (jsonUpdateTimeout) {
|
|
clearTimeout(jsonUpdateTimeout);
|
|
}
|
|
|
|
jsonUpdateTimeout = setTimeout(() => {
|
|
// 🚀 OPTIMIZED: Single pass through data instead of 3 separate filters
|
|
const good = [];
|
|
const favorited = [];
|
|
const rejected = [];
|
|
|
|
for (const item of activeData) {
|
|
if (item.rejected) {
|
|
rejected.push(item);
|
|
} else {
|
|
good.push(item);
|
|
if (item.favorited) {
|
|
favorited.push(item);
|
|
}
|
|
}
|
|
}
|
|
|
|
// Disabled automatic JSON generation - now on-demand via buttons
|
|
// Store the datasets for on-demand generation
|
|
window.cachedJSONData = { good, favorited, rejected };
|
|
|
|
// Calculate unique config counts for button labels
|
|
const goodUniqueCount = countUniqueConfigs(good);
|
|
const favUniqueCount = countUniqueConfigs(favorited);
|
|
const rejUniqueCount = countUniqueConfigs(rejected);
|
|
|
|
// Update button labels with unique counts
|
|
updateJSONButtonLabels(goodUniqueCount, favUniqueCount, rejUniqueCount);
|
|
}, 100); // Reduced from 300ms since we have separate debounce above
|
|
}
|
|
|
|
// OPTIMIZED JSON generation
|
|
const jsonElCache = new Map();
|
|
|
|
// Fallback for browsers that don't support requestIdleCallback
|
|
const runIdle = window.requestIdleCallback || (cb => setTimeout(cb, 1));
|
|
const cancelIdle = window.cancelIdleCallback || clearTimeout;
|
|
|
|
function generateSmartJSON(dataset, targetId) {
|
|
const el = document.getElementById(targetId);
|
|
if (!el) return;
|
|
|
|
if (dataset.length === 0) {
|
|
el.innerText = "[]";
|
|
return;
|
|
}
|
|
|
|
// Extract unique configurations
|
|
const configMap = new Map();
|
|
|
|
for (const d of dataset) {
|
|
const config = {
|
|
sampler: d.sampler,
|
|
scheduler: d.scheduler,
|
|
steps: d.steps,
|
|
cfg: d.cfg,
|
|
denoise: d.denoise,
|
|
lora: d.lora,
|
|
model: d.model || "Default"
|
|
};
|
|
|
|
// Create a unique key for this configuration
|
|
const key = JSON.stringify(config);
|
|
|
|
// Only add if we haven't seen this exact config before
|
|
if (!configMap.has(key)) {
|
|
configMap.set(key, config);
|
|
}
|
|
}
|
|
|
|
// Convert map to array
|
|
const uniqueConfigs = Array.from(configMap.values());
|
|
|
|
// Limit output
|
|
const limit = Math.min(uniqueConfigs.length, 100);
|
|
const limited = uniqueConfigs.slice(0, limit);
|
|
|
|
let jsonText = JSON.stringify(limited, null, 2);
|
|
|
|
if (uniqueConfigs.length > 100) {
|
|
jsonText += `\n\n// ... and ${uniqueConfigs.length - 100} more unique configs`;
|
|
}
|
|
|
|
el.innerText = jsonText;
|
|
}
|
|
|
|
// Helper function to count unique configs in a dataset
|
|
function countUniqueConfigs(dataset) {
|
|
const configSet = new Set();
|
|
|
|
for (const d of dataset) {
|
|
const key = JSON.stringify({
|
|
sampler: d.sampler,
|
|
scheduler: d.scheduler,
|
|
steps: d.steps,
|
|
cfg: d.cfg,
|
|
denoise: d.denoise,
|
|
lora: d.lora,
|
|
model: d.model || "Default"
|
|
});
|
|
configSet.add(key);
|
|
}
|
|
|
|
return configSet.size;
|
|
}
|
|
|
|
// Add button label update function
|
|
function updateJSONButtonLabels(goodCount, favCount, rejCount) {
|
|
const goodBtn = document.getElementById('json-btn-good');
|
|
const favBtn = document.getElementById('json-btn-favorite');
|
|
const rejBtn = document.getElementById('json-btn-bad');
|
|
|
|
if (goodBtn) goodBtn.innerText = `View Configs (${goodCount})`;
|
|
if (favBtn) favBtn.innerText = `View Favorited (${favCount})`;
|
|
if (rejBtn) rejBtn.innerText = `View Rejected (${rejCount})`;
|
|
}
|
|
|
|
// On-demand JSON generation functions
|
|
function viewGoodJSON() {
|
|
if (!window.cachedJSONData) return;
|
|
const bar = document.getElementById('json-bar-good');
|
|
if (!bar) return;
|
|
|
|
// Toggle visibility
|
|
if (bar.style.display === 'block') {
|
|
bar.style.display = 'none';
|
|
return;
|
|
}
|
|
|
|
const { good } = window.cachedJSONData;
|
|
generateSmartJSON(good, 'json-bar-good');
|
|
|
|
bar.style.display = 'block';
|
|
bar.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
|
|
}
|
|
|
|
function viewFavoritedJSON() {
|
|
if (!window.cachedJSONData) return;
|
|
const bar = document.getElementById('json-bar-favorite');
|
|
if (!bar) return;
|
|
|
|
// Toggle visibility
|
|
if (bar.style.display === 'block') {
|
|
bar.style.display = 'none';
|
|
return;
|
|
}
|
|
|
|
const { favorited } = window.cachedJSONData;
|
|
generateSmartJSON(favorited, 'json-bar-favorite');
|
|
|
|
bar.style.display = 'block';
|
|
bar.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
|
|
}
|
|
|
|
function viewRejectedJSON() {
|
|
if (!window.cachedJSONData) return;
|
|
const bar = document.getElementById('json-bar-bad');
|
|
if (!bar) return;
|
|
|
|
// Toggle visibility
|
|
if (bar.style.display === 'block') {
|
|
bar.style.display = 'none';
|
|
return;
|
|
}
|
|
|
|
const { rejected } = window.cachedJSONData;
|
|
generateSmartJSON(rejected, 'json-bar-bad');
|
|
|
|
bar.style.display = 'block';
|
|
bar.scrollIntoView({ behavior: 'smooth', block: 'nearest' });
|
|
}
|
|
/**
|
|
* SEARCH FILTER FUNCTIONS
|
|
*/
|
|
|
|
// Add a search filter
|
|
function addSearchFilter() {
|
|
const typeSelect = document.getElementById('search-filter-type');
|
|
const inputField = document.getElementById('search-filter-input');
|
|
|
|
if (!typeSelect || !inputField) return;
|
|
|
|
const filterType = typeSelect.value;
|
|
const searchTerm = inputField.value.trim();
|
|
|
|
// Validation
|
|
if (!filterType) {
|
|
alert('Please select a filter type');
|
|
return;
|
|
}
|
|
|
|
if (!searchTerm) {
|
|
alert('Please enter a search term');
|
|
return;
|
|
}
|
|
|
|
// Check if this exact filter already exists
|
|
const exists = searchFilters.some(f => f.type === filterType && f.term === searchTerm);
|
|
if (exists) {
|
|
alert('This search filter already exists');
|
|
return;
|
|
}
|
|
|
|
// Add to search filters array
|
|
searchFilters.push({
|
|
type: filterType,
|
|
term: searchTerm
|
|
});
|
|
|
|
// Clear inputs
|
|
typeSelect.value = '';
|
|
inputField.value = '';
|
|
|
|
// Update UI
|
|
renderSearchFilters();
|
|
|
|
// Trigger data pipeline update
|
|
updateDataPipeline();
|
|
|
|
console.log(`[Search Filter] Added: ${filterType} contains "${searchTerm}"`);
|
|
}
|
|
|
|
// Remove a search filter
|
|
function removeSearchFilter(index) {
|
|
if (index >= 0 && index < searchFilters.length) {
|
|
const removed = searchFilters.splice(index, 1)[0];
|
|
console.log(`[Search Filter] Removed: ${removed.type} contains "${removed.term}"`);
|
|
|
|
// Update UI
|
|
renderSearchFilters();
|
|
|
|
// Trigger data pipeline update
|
|
updateDataPipeline();
|
|
}
|
|
}
|
|
|
|
// Clear all search filters
|
|
function clearAllSearchFilters() {
|
|
if (searchFilters.length === 0) return;
|
|
|
|
searchFilters = [];
|
|
renderSearchFilters();
|
|
updateDataPipeline();
|
|
|
|
console.log('[Search Filter] All search filters cleared');
|
|
}
|
|
|
|
// Render search filter tags
|
|
function renderSearchFilters() {
|
|
const container = document.getElementById('active-search-filters');
|
|
if (!container) return;
|
|
|
|
container.innerHTML = '';
|
|
|
|
if (searchFilters.length === 0) {
|
|
container.innerHTML = '<div style="color: #555; font-size: 10px; padding: 4px 0;">No active search filters</div>';
|
|
return;
|
|
}
|
|
|
|
searchFilters.forEach((filter, index) => {
|
|
const tag = document.createElement('div');
|
|
tag.className = 'search-filter-tag';
|
|
|
|
// Format display name for filter type
|
|
const typeNames = {
|
|
'model': 'Model',
|
|
'positive': 'Positive',
|
|
'negative': 'Negative',
|
|
'sampler': 'Sampler',
|
|
'scheduler': 'Scheduler',
|
|
'lora': 'LoRA'
|
|
};
|
|
|
|
tag.innerHTML = `
|
|
<span class="filter-type ${filter.type}">${typeNames[filter.type] || filter.type}</span>
|
|
<span class="filter-term" title="${filter.term}">${filter.term}</span>
|
|
<button class="remove-btn" onclick="removeSearchFilter(${index})" title="Remove filter">✕</button>
|
|
`;
|
|
|
|
container.appendChild(tag);
|
|
});
|
|
|
|
// Add clear all button if there are multiple filters
|
|
if (searchFilters.length > 1) {
|
|
const clearBtn = document.createElement('button');
|
|
clearBtn.className = 'search-filter-add-btn';
|
|
clearBtn.style.background = '#ff3860';
|
|
clearBtn.style.padding = '4px 10px';
|
|
clearBtn.innerText = 'CLEAR ALL';
|
|
clearBtn.onclick = clearAllSearchFilters;
|
|
container.appendChild(clearBtn);
|
|
}
|
|
}
|
|
|
|
// Check if an item matches search filters
|
|
function matchesSearchFilters(item) {
|
|
if (searchFilters.length === 0) return true;
|
|
|
|
// Item must match ALL search filters (AND logic)
|
|
return searchFilters.every(filter => {
|
|
let value = '';
|
|
|
|
switch (filter.type) {
|
|
case 'model':
|
|
value = item.model || meta.model || "Default";
|
|
break;
|
|
case 'positive':
|
|
value = item.positive || meta.positive || "";
|
|
break;
|
|
case 'negative':
|
|
value = item.negative || meta.negative || "";
|
|
break;
|
|
case 'sampler':
|
|
value = item.sampler || "";
|
|
break;
|
|
case 'scheduler':
|
|
value = item.scheduler || "";
|
|
break;
|
|
case 'lora':
|
|
value = item.lora || "";
|
|
break;
|
|
default:
|
|
return false;
|
|
}
|
|
|
|
// Case-insensitive search
|
|
return value.toLowerCase().includes(filter.term.toLowerCase());
|
|
});
|
|
}
|
|
|
|
|
|
// ============================================================
|
|
// MANIFEST ANALYTICS
|
|
// ============================================================
|
|
|
|
/**
|
|
* Dispatch to the correct analysis function based on type.
|
|
* type: 'lora' | 'model' | 'prompt' | 'tags'
|
|
*/
|
|
function runManifestAnalysis(type) {
|
|
const statusEl = document.getElementById('analytics-status');
|
|
|
|
// Guard: fullManifest must exist
|
|
if (!fullManifest || !Array.isArray(fullManifest.items) || fullManifest.items.length === 0) {
|
|
if (statusEl) {
|
|
statusEl.innerText = 'No manifest data available.';
|
|
statusEl.style.color = '#ff3860';
|
|
}
|
|
return;
|
|
}
|
|
|
|
const items = fullManifest.items;
|
|
let results = [];
|
|
let title = '';
|
|
|
|
if (type === 'lora') {
|
|
title = 'LoRA Usage Stats (Favorited)';
|
|
results = analyzeFieldStats(items, 'lora', true);
|
|
} else if (type === 'model') {
|
|
title = 'Model Usage Stats (Favorited)';
|
|
results = analyzeFieldStats(items, 'model', true);
|
|
} else if (type === 'prompt') {
|
|
title = 'Full Prompt Stats (All Items)';
|
|
results = analyzePromptStats(items);
|
|
} else if (type === 'tags') {
|
|
title = 'Prompt Tag Stats (Favorited)';
|
|
results = analyzeTagStats(items);
|
|
}
|
|
|
|
if (results.length === 0) {
|
|
if (statusEl) {
|
|
statusEl.innerText = 'No data found (check favorited items).';
|
|
statusEl.style.color = '#ffaa00';
|
|
}
|
|
return;
|
|
}
|
|
|
|
if (statusEl) {
|
|
statusEl.innerText = results.length + ' unique entries found.';
|
|
statusEl.style.color = '#4caf50';
|
|
setTimeout(() => { if (statusEl) statusEl.innerText = ''; }, 4000);
|
|
}
|
|
|
|
showAnalyticsModal(title, results, type);
|
|
}
|
|
|
|
/**
|
|
* Generic counter for lora and model fields.
|
|
* Splits field value by " + " to handle combined entries.
|
|
* @param {Array} items - all manifest items
|
|
* @param {string} field - 'lora' or 'model'
|
|
* @param {boolean} favoritedOnly - true to count only favorited items
|
|
* @returns {Array} sorted [{count, name}] descending
|
|
*/
|
|
function analyzeFieldStats(items, field, favoritedOnly) {
|
|
const counter = new Map();
|
|
|
|
for (const item of items) {
|
|
if (favoritedOnly && !item.favorited) continue;
|
|
|
|
const raw = item[field];
|
|
if (!raw || raw === 'None') continue;
|
|
|
|
// Split by " + " to handle combined loras/models
|
|
const entries = String(raw).split(' + ').map(s => s.trim()).filter(Boolean);
|
|
for (const entry of entries) {
|
|
counter.set(entry, (counter.get(entry) || 0) + 1);
|
|
}
|
|
}
|
|
|
|
return Array.from(counter.entries())
|
|
.map(([name, count]) => ({ count, name }))
|
|
.sort((a, b) => b.count - a.count || a.name.localeCompare(b.name));
|
|
}
|
|
|
|
/**
|
|
* Full Prompt Stats (unique behavior):
|
|
* - ALL items register their prompt with count 0
|
|
* - Only favorited items increment the count
|
|
* @param {Array} items - all manifest items
|
|
* @returns {Array} sorted [{count, name}] descending by count
|
|
*/
|
|
function analyzePromptStats(items) {
|
|
const counter = new Map();
|
|
|
|
// Pass 1: register ALL prompts with count 0
|
|
for (const item of items) {
|
|
const prompt = item.positive;
|
|
if (prompt && !counter.has(prompt)) {
|
|
counter.set(prompt, 0);
|
|
}
|
|
}
|
|
|
|
// Pass 2: increment for favorited items
|
|
for (const item of items) {
|
|
if (!item.favorited) continue;
|
|
const prompt = item.positive;
|
|
if (prompt && counter.has(prompt)) {
|
|
counter.set(prompt, counter.get(prompt) + 1);
|
|
}
|
|
}
|
|
|
|
return Array.from(counter.entries())
|
|
.map(([name, count]) => ({ count, name }))
|
|
.sort((a, b) => b.count - a.count || a.name.localeCompare(b.name));
|
|
}
|
|
|
|
/**
|
|
* Tag Stats: splits item.positive by comma, trims, counts occurrences.
|
|
* Only favorited items.
|
|
* @param {Array} items - all manifest items
|
|
* @returns {Array} sorted [{count, name}] descending
|
|
*/
|
|
function analyzeTagStats(items) {
|
|
const counter = new Map();
|
|
|
|
for (const item of items) {
|
|
if (!item.favorited) continue;
|
|
const prompt = item.positive;
|
|
if (!prompt) continue;
|
|
|
|
const tags = prompt.split(',').map(t => t.trim()).filter(Boolean);
|
|
for (const tag of tags) {
|
|
counter.set(tag, (counter.get(tag) || 0) + 1);
|
|
}
|
|
}
|
|
|
|
return Array.from(counter.entries())
|
|
.map(([name, count]) => ({ count, name }))
|
|
.sort((a, b) => b.count - a.count || a.name.localeCompare(b.name));
|
|
}
|
|
|
|
/**
|
|
* Escape HTML entities for safe innerHTML insertion.
|
|
*/
|
|
function escapeHtml(str) {
|
|
if (!str) return '';
|
|
return String(str)
|
|
.replace(/&/g, '&')
|
|
.replace(/</g, '<')
|
|
.replace(/>/g, '>')
|
|
.replace(/"/g, '"');
|
|
}
|
|
|
|
/**
|
|
* Show the analytics results modal.
|
|
* Follows the same dynamic overlay pattern as showSaveErrorAlert.
|
|
* @param {string} title - modal title
|
|
* @param {Array} results - [{count, name}]
|
|
* @param {string} type - 'lora'|'model'|'prompt'|'tags' (for accent color)
|
|
*/
|
|
function showAnalyticsModal(title, results, type) {
|
|
// Deduplication: remove existing analytics modal
|
|
const existing = document.getElementById('analytics-results-modal');
|
|
if (existing) existing.remove();
|
|
|
|
// Accent color per type
|
|
const accentMap = {
|
|
lora: '#8b5cf6',
|
|
model: '#6366f1',
|
|
prompt: '#00d1b2',
|
|
tags: '#d0873e'
|
|
};
|
|
const accent = accentMap[type] || '#00d1b2';
|
|
|
|
// Build table rows HTML (limit to 500 rows max for performance)
|
|
const displayResults = results.slice(0, 500);
|
|
const totalItems = results.length;
|
|
const truncated = results.length > 500;
|
|
|
|
const rowsHtml = displayResults.map((r, i) => {
|
|
// Show full prompt text - no truncation
|
|
const rank = i + 1;
|
|
return '<tr class="analytics-row">' +
|
|
'<td class="analytics-rank">' + rank + '</td>' +
|
|
'<td class="analytics-count" style="color:' + accent + ';">' + r.count + '</td>' +
|
|
'<td class="analytics-name">' + escapeHtml(r.name) + '</td>' +
|
|
'</tr>';
|
|
}).join('');
|
|
|
|
const truncatedNote = truncated
|
|
? '<div style="text-align:center; font-size:10px; color:#666; padding:8px 0;">' +
|
|
'Showing top 500 of ' + totalItems + ' entries.' +
|
|
'</div>'
|
|
: '';
|
|
|
|
// Count summary
|
|
const favCount = results.filter(r => r.count > 0).length;
|
|
const totalCount = results.reduce((s, r) => s + r.count, 0);
|
|
const summaryHtml =
|
|
'<div class="analytics-summary">' +
|
|
'<span>' + totalItems + ' unique entries</span>' +
|
|
'<span style="color:#666;">|</span>' +
|
|
'<span>' + totalCount + ' total occurrences</span>' +
|
|
(type === 'prompt' ? '<span style="color:#666;">|</span><span>' + favCount + ' with favorites</span>' : '') +
|
|
'</div>';
|
|
|
|
// For prompt type: build "Copy Favorited Prompts as JSON" button
|
|
const copyFavBtnHtml = (type === 'prompt')
|
|
? '<button id="analytics-copy-fav-btn" style="' +
|
|
'background:#00d1b2; color:#000; border:none; border-radius:5px;' +
|
|
'padding:6px 12px; font-size:11px; font-weight:bold; cursor:pointer;' +
|
|
'margin-right:8px; white-space:nowrap;' +
|
|
'" title="Copy all favorited prompts as a JSON array">📋 Copy Favorited Prompts as JSON</button>'
|
|
: '';
|
|
|
|
// Create overlay
|
|
const overlay = document.createElement('div');
|
|
overlay.id = 'analytics-results-modal';
|
|
overlay.className = 'analytics-modal-overlay';
|
|
|
|
overlay.innerHTML =
|
|
'<div class="analytics-modal-popup">' +
|
|
'<div class="analytics-modal-header" style="border-bottom-color:' + accent + ';">' +
|
|
'<span class="analytics-modal-title" style="color:' + accent + ';">' + escapeHtml(title) + '</span>' +
|
|
'<div style="display:flex; align-items:center; gap:4px;">' +
|
|
copyFavBtnHtml +
|
|
'<button class="close-popup-btn" onclick="document.getElementById(\'analytics-results-modal\').remove()">✕</button>' +
|
|
'</div>' +
|
|
'</div>' +
|
|
summaryHtml +
|
|
'<div class="analytics-modal-body">' +
|
|
'<table class="analytics-table">' +
|
|
'<thead>' +
|
|
'<tr>' +
|
|
'<th class="analytics-th">#</th>' +
|
|
'<th class="analytics-th" style="color:' + accent + ';">Count</th>' +
|
|
'<th class="analytics-th">Name</th>' +
|
|
'</tr>' +
|
|
'</thead>' +
|
|
'<tbody>' +
|
|
rowsHtml +
|
|
'</tbody>' +
|
|
'</table>' +
|
|
truncatedNote +
|
|
'</div>' +
|
|
'</div>';
|
|
|
|
document.body.appendChild(overlay);
|
|
|
|
// Wire up "Copy Favorited Prompts as JSON" button (prompt type only)
|
|
if (type === 'prompt') {
|
|
const copyFavBtn = document.getElementById('analytics-copy-fav-btn');
|
|
if (copyFavBtn) {
|
|
copyFavBtn.addEventListener('click', async () => {
|
|
// All results with count > 0 are favorited prompts; include all (not just displayResults slice)
|
|
const favoritedPrompts = results.filter(r => r.count > 0).map(r => r.name);
|
|
const jsonStr = JSON.stringify(favoritedPrompts, null, 2);
|
|
try {
|
|
await navigator.clipboard.writeText(jsonStr);
|
|
} catch {
|
|
// Fallback for browsers that block async clipboard
|
|
const ta = document.createElement('textarea');
|
|
ta.value = jsonStr;
|
|
ta.style.position = 'fixed';
|
|
ta.style.opacity = '0';
|
|
document.body.appendChild(ta);
|
|
ta.select();
|
|
document.execCommand('copy');
|
|
document.body.removeChild(ta);
|
|
}
|
|
const orig = copyFavBtn.textContent;
|
|
copyFavBtn.textContent = '✅ Copied ' + favoritedPrompts.length + ' prompts!';
|
|
copyFavBtn.style.background = '#00aa88';
|
|
setTimeout(() => {
|
|
copyFavBtn.textContent = orig;
|
|
copyFavBtn.style.background = '#00d1b2';
|
|
}, 2000);
|
|
});
|
|
}
|
|
}
|
|
|
|
// Click-outside-to-close
|
|
overlay.addEventListener('click', (e) => {
|
|
if (e.target === overlay) overlay.remove();
|
|
});
|
|
} |