mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-25 07:05:43 -03:00
Refactor API endpoints to use '/api/lm/' prefix
- Updated all relevant routes in `stats_routes.py` and `update_routes.py` to include the new '/api/lm/' prefix for consistency. - Modified API endpoint configurations in `apiConfig.js` to reflect the new structure, ensuring all CRUD and bulk operations are correctly routed. - Adjusted fetch calls in various components and managers to utilize the updated API paths, including recipe, model, and example image operations. - Ensured all instances of the old API paths were replaced with the new '/api/lm/' prefix across the codebase for uniformity and to prevent broken links.
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@@ -186,7 +186,7 @@ async function handleExampleImagesAccess(card, modelType) {
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const modelHash = card.dataset.sha256;
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try {
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const response = await fetch(`/api/has-example-images?model_hash=${modelHash}`);
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const response = await fetch(`/api/lm/has-example-images?model_hash=${modelHash}`);
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const data = await response.json();
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if (data.has_images) {
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@@ -460,7 +460,7 @@ async function saveNotes(filePath) {
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*/
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async function openFileLocation(filePath) {
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try {
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const resp = await fetch('/api/open-file-location', {
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const resp = await fetch('/api/lm/open-file-location', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ 'file_path': filePath })
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@@ -22,7 +22,7 @@ export function loadRecipesForLora(loraName, sha256) {
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`;
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// Fetch recipes that use this Lora by hash
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fetch(`/api/recipes/for-lora?hash=${encodeURIComponent(sha256.toLowerCase())}`)
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fetch(`/api/lm/recipes/for-lora?hash=${encodeURIComponent(sha256.toLowerCase())}`)
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.then(response => response.json())
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.then(data => {
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if (!data.success) {
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@@ -166,7 +166,7 @@ function copyRecipeSyntax(recipeId) {
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return;
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}
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fetch(`/api/recipe/${recipeId}/syntax`)
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fetch(`/api/lm/recipe/${recipeId}/syntax`)
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.then(response => response.json())
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.then(data => {
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if (data.success && data.syntax) {
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@@ -14,7 +14,7 @@ import { getModelApiClient } from '../../api/modelApiFactory.js';
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*/
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async function fetchTrainedWords(filePath) {
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try {
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const response = await fetch(`/api/trained-words?file_path=${encodeURIComponent(filePath)}`);
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const response = await fetch(`/api/lm/trained-words?file_path=${encodeURIComponent(filePath)}`);
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const data = await response.json();
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if (data.success) {
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@@ -408,7 +408,7 @@ export function initMediaControlHandlers(container) {
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try {
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// Call the API to delete the custom example
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const response = await fetch('/api/delete-example-image', {
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const response = await fetch('/api/lm/delete-example-image', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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@@ -29,7 +29,7 @@ export async function loadExampleImages(images, modelHash) {
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let localFiles = [];
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try {
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const endpoint = '/api/example-image-files';
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const endpoint = '/api/lm/example-image-files';
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const params = `model_hash=${modelHash}`;
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const response = await fetch(`${endpoint}?${params}`);
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@@ -374,7 +374,7 @@ async function handleImportFiles(files, modelHash, importContainer) {
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});
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// Call API to import files
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const response = await fetch('/api/import-example-images', {
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const response = await fetch('/api/lm/import-example-images', {
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method: 'POST',
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body: formData
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});
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@@ -386,7 +386,7 @@ async function handleImportFiles(files, modelHash, importContainer) {
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}
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// Get updated local files
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const updatedFilesResponse = await fetch(`/api/example-image-files?model_hash=${modelHash}`);
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const updatedFilesResponse = await fetch(`/api/lm/example-image-files?model_hash=${modelHash}`);
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const updatedFilesResult = await updatedFilesResponse.json();
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if (!updatedFilesResult.success) {
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