mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-03-25 15:15:44 -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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@@ -125,8 +125,8 @@ export const ModelContextMenuMixin = {
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state.loadingManager.showSimpleLoading('Re-linking to Civitai...');
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const endpoint = this.modelType === 'checkpoint' ?
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'/api/checkpoints/relink-civitai' :
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'/api/loras/relink-civitai';
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'/api/lm/checkpoints/relink-civitai' :
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'/api/lm/loras/relink-civitai';
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const response = await fetch(endpoint, {
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method: 'POST',
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@@ -103,7 +103,7 @@ export class RecipeContextMenu extends BaseContextMenu {
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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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@@ -126,7 +126,7 @@ export class RecipeContextMenu extends BaseContextMenu {
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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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@@ -149,7 +149,7 @@ export class RecipeContextMenu extends BaseContextMenu {
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}
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// First get the recipe details to access its LoRAs
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fetch(`/api/recipe/${recipeId}`)
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fetch(`/api/lm/recipe/${recipeId}`)
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.then(response => response.json())
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.then(recipe => {
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// Clear any previous filters first
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@@ -189,7 +189,7 @@ export class RecipeContextMenu extends BaseContextMenu {
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try {
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// First get the recipe details
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const response = await fetch(`/api/recipe/${recipeId}`);
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const response = await fetch(`/api/lm/recipe/${recipeId}`);
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const recipe = await response.json();
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// Get missing LoRAs
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@@ -209,9 +209,9 @@ export class RecipeContextMenu extends BaseContextMenu {
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// Determine which endpoint to use based on available data
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if (lora.modelVersionId) {
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endpoint = `/api/loras/civitai/model/version/${lora.modelVersionId}`;
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endpoint = `/api/lm/loras/civitai/model/version/${lora.modelVersionId}`;
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} else if (lora.hash) {
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endpoint = `/api/loras/civitai/model/hash/${lora.hash}`;
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endpoint = `/api/lm/loras/civitai/model/hash/${lora.hash}`;
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} else {
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console.error("Missing both hash and modelVersionId for lora:", lora);
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return null;
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@@ -13,7 +13,7 @@ export class DuplicatesManager {
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async findDuplicates() {
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try {
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const response = await fetch('/api/recipes/find-duplicates');
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const response = await fetch('/api/lm/recipes/find-duplicates');
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if (!response.ok) {
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throw new Error('Failed to find duplicates');
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}
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@@ -354,7 +354,7 @@ export class DuplicatesManager {
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const recipeIds = Array.from(this.selectedForDeletion);
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// Call API to bulk delete
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const response = await fetch('/api/recipes/bulk-delete', {
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const response = await fetch('/api/lm/recipes/bulk-delete', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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@@ -48,7 +48,7 @@ export class ModelDuplicatesManager {
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// Method to check for duplicates count using existing endpoint
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async checkDuplicatesCount() {
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try {
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const endpoint = `/api/${this.modelType}/find-duplicates`;
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const endpoint = `/api/lm/${this.modelType}/find-duplicates`;
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const response = await fetch(endpoint);
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if (!response.ok) {
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@@ -104,7 +104,7 @@ export class ModelDuplicatesManager {
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async findDuplicates() {
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try {
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// Determine API endpoint based on model type
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const endpoint = `/api/${this.modelType}/find-duplicates`;
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const endpoint = `/api/lm/${this.modelType}/find-duplicates`;
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const response = await fetch(endpoint);
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if (!response.ok) {
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@@ -623,7 +623,7 @@ export class ModelDuplicatesManager {
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const filePaths = Array.from(this.selectedForDeletion);
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// Call API to bulk delete
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const response = await fetch(`/api/${this.modelType}/bulk-delete`, {
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const response = await fetch(`/api/lm/${this.modelType}/bulk-delete`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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@@ -648,7 +648,7 @@ export class ModelDuplicatesManager {
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// Check if there are still duplicates
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try {
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const endpoint = `/api/${this.modelType}/find-duplicates`;
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const endpoint = `/api/lm/${this.modelType}/find-duplicates`;
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const dupResponse = await fetch(endpoint);
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if (!dupResponse.ok) {
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@@ -756,7 +756,7 @@ export class ModelDuplicatesManager {
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const filePaths = group.models.map(model => model.file_path);
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// Make API request to verify hashes
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const response = await fetch(`/api/${this.modelType}/verify-duplicates`, {
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const response = await fetch(`/api/lm/${this.modelType}/verify-duplicates`, {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json'
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@@ -203,7 +203,7 @@ class RecipeCard {
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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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@@ -299,7 +299,7 @@ class RecipeCard {
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deleteBtn.disabled = true;
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// Call API to delete the recipe
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fetch(`/api/recipe/${recipeId}`, {
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fetch(`/api/lm/recipe/${recipeId}`, {
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method: 'DELETE',
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headers: {
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'Content-Type': 'application/json'
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@@ -341,7 +341,7 @@ class RecipeCard {
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showToast('toast.recipes.preparingForSharing', {}, 'info');
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// Call the API to process the image with metadata
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fetch(`/api/recipe/${recipeId}/share`)
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fetch(`/api/lm/recipe/${recipeId}/share`)
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.then(response => {
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if (!response.ok) {
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throw new Error('Failed to prepare recipe for sharing');
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@@ -784,7 +784,7 @@ class RecipeModal {
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try {
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// Fetch recipe syntax from backend
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const response = await fetch(`/api/recipe/${this.recipeId}/syntax`);
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const response = await fetch(`/api/lm/recipe/${this.recipeId}/syntax`);
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if (!response.ok) {
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throw new Error(`Failed to get recipe syntax: ${response.statusText}`);
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@@ -830,9 +830,9 @@ class RecipeModal {
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// Determine which endpoint to use based on available data
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if (lora.modelVersionId) {
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endpoint = `/api/loras/civitai/model/version/${lora.modelVersionId}`;
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endpoint = `/api/lm/loras/civitai/model/version/${lora.modelVersionId}`;
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} else if (lora.hash) {
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endpoint = `/api/loras/civitai/model/hash/${lora.hash}`;
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endpoint = `/api/lm/loras/civitai/model/hash/${lora.hash}`;
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} else {
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console.error("Missing both hash and modelVersionId for lora:", lora);
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return null;
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@@ -1003,7 +1003,7 @@ class RecipeModal {
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state.loadingManager.showSimpleLoading('Reconnecting LoRA...');
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// Call API to reconnect the LoRA
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const response = await fetch('/api/recipe/lora/reconnect', {
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const response = await fetch('/api/lm/recipe/lora/reconnect', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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@@ -46,7 +46,7 @@ export class AlphabetBar {
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*/
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async fetchLetterCounts() {
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try {
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const response = await fetch('/api/loras/letter-counts');
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const response = await fetch('/api/lm/loras/letter-counts');
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if (!response.ok) {
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throw new Error(`Failed to fetch letter counts: ${response.statusText}`);
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@@ -169,7 +169,7 @@ class InitializationManager {
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*/
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pollProgress() {
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const checkProgress = () => {
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fetch('/api/init-status')
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fetch('/api/lm/init-status')
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.then(response => response.json())
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.then(data => {
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this.handleProgressUpdate(data);
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@@ -186,7 +186,7 @@ async function handleExampleImagesAccess(card, modelType) {
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const modelHash = card.dataset.sha256;
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try {
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const response = await fetch(`/api/has-example-images?model_hash=${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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