chore(ops): cleanly purge old clube67 folder references
continuous-integration/webhook Falha no deploy de clube67_newwhats.local (VPS 4)

This commit is contained in:
VPS 4 Deploy Agent
2026-05-18 03:27:37 +02:00
parent 0dc5eefa06
commit 52f73753e7
387 changed files with 0 additions and 234641 deletions
@@ -1,60 +0,0 @@
"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
exports.ImageOptimizer = void 0;
const sharp_1 = __importDefault(require("sharp"));
class ImageOptimizer {
/**
* Optimizes an image: converts to WebP, strips metadata,
* and applies a 1:1 Smart Crop if needed.
*/
static async optimize(buffer, category = 'media', options = {}) {
try {
let pipeline = (0, sharp_1.default)(buffer);
const metadata = await pipeline.metadata();
if (!metadata.format)
return { buffer, mimetype: 'application/octet-stream' };
// 1. Identify Target Size
// Default sizes based on category
let targetSize = options.size || 1024;
if (category === 'partners' || category === 'users')
targetSize = 400;
if (category === 'benefits')
targetSize = 800;
// 2. Smart Crop 1:1 if aspect=1:1 is requested or implied by category
const shouldCrop = options.aspect === '1:1' || ['partners', 'users'].includes(category);
if (shouldCrop) {
pipeline = pipeline.resize({
width: targetSize,
height: targetSize,
fit: sharp_1.default.fit.cover,
position: sharp_1.default.strategy.entropy // Smart focal point detection
});
}
else {
// Resize without cropping if it's too large
pipeline = pipeline.resize({
width: targetSize,
withoutEnlargement: true,
fit: sharp_1.default.fit.inside
});
}
// 3. Convert to WebP & Strip Metadata
const optimizedBuffer = await pipeline
.webp({ quality: 85, effort: 4 })
.toBuffer();
return {
buffer: optimizedBuffer,
mimetype: 'image/webp'
};
}
catch (err) {
console.error('[SmartVision] Optimization failed:', err);
return { buffer, mimetype: 'image/jpeg' }; // Fallback
}
}
}
exports.ImageOptimizer = ImageOptimizer;
//# sourceMappingURL=Optimizer.js.map
@@ -1 +0,0 @@
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@@ -1,63 +0,0 @@
import sharp from 'sharp';
export interface OptimizationResult {
buffer: Buffer;
mimetype: string;
}
export class ImageOptimizer {
/**
* Optimizes an image: converts to WebP, strips metadata,
* and applies a 1:1 Smart Crop if needed.
*/
static async optimize(
buffer: Buffer,
category: string = 'media',
options: { aspect?: string; size?: number } = {}
): Promise<OptimizationResult> {
try {
let pipeline = sharp(buffer);
const metadata = await pipeline.metadata();
if (!metadata.format) return { buffer, mimetype: 'application/octet-stream' };
// 1. Identify Target Size
// Default sizes based on category
let targetSize = options.size || 1024;
if (category === 'partners' || category === 'users') targetSize = 400;
if (category === 'benefits') targetSize = 800;
// 2. Smart Crop 1:1 if aspect=1:1 is requested or implied by category
const shouldCrop = options.aspect === '1:1' || ['partners', 'users'].includes(category);
if (shouldCrop) {
pipeline = pipeline.resize({
width: targetSize,
height: targetSize,
fit: sharp.fit.cover,
position: sharp.strategy.entropy // Smart focal point detection
});
} else {
// Resize without cropping if it's too large
pipeline = pipeline.resize({
width: targetSize,
withoutEnlargement: true,
fit: sharp.fit.inside
});
}
// 3. Convert to WebP & Strip Metadata
const optimizedBuffer = await pipeline
.webp({ quality: 85, effort: 4 })
.toBuffer();
return {
buffer: optimizedBuffer,
mimetype: 'image/webp'
};
} catch (err) {
console.error('[SmartVision] Optimization failed:', err);
return { buffer, mimetype: 'image/jpeg' }; // Fallback
}
}
}
@@ -1,33 +0,0 @@
"use strict";
var __importDefault = (this && this.__importDefault) || function (mod) {
return (mod && mod.__esModule) ? mod : { "default": mod };
};
Object.defineProperty(exports, "__esModule", { value: true });
const Optimizer_1 = require("./backend/Optimizer");
const manifest_json_1 = __importDefault(require("./manifest.json"));
const plugin = {
manifest: manifest_json_1.default,
async activate(ctx) {
// Register for the upload:transform hook
ctx.hooks.register('upload:transform', async (payload) => {
const { buffer, mimetype, category } = payload;
// Only process common image formats
const imageTypes = ['image/jpeg', 'image/png', 'image/webp', 'image/avif'];
if (!imageTypes.includes(mimetype)) {
return null; // Skip non-images
}
ctx.logger.info(`[SmartVision] Optimizing image for category: ${category}`);
const result = await Optimizer_1.ImageOptimizer.optimize(buffer, category);
return {
buffer: result.buffer,
mimetype: result.mimetype
};
});
ctx.logger.info('SmartVision Optimizer activated');
},
async deactivate(ctx) {
ctx.logger.info('SmartVision Optimizer deactivated');
}
};
exports.default = plugin;
//# sourceMappingURL=index.js.map
@@ -1 +0,0 @@
{"version":3,"file":"index.js","sourceRoot":"","sources":["index.ts"],"names":[],"mappings":";;;;;AACA,mDAAqD;AACrD,oEAAuC;AAEvC,MAAM,MAAM,GAAmB;IAC3B,QAAQ,EAAE,uBAAe;IACzB,KAAK,CAAC,QAAQ,CAAC,GAAkB;QAC7B,yCAAyC;QACzC,GAAG,CAAC,KAAK,CAAC,QAAQ,CAAC,kBAAkB,EAAE,KAAK,EAAE,OAAY,EAAE,EAAE;YAC1D,MAAM,EAAE,MAAM,EAAE,QAAQ,EAAE,QAAQ,EAAE,GAAG,OAAO,CAAC;YAE/C,oCAAoC;YACpC,MAAM,UAAU,GAAG,CAAC,YAAY,EAAE,WAAW,EAAE,YAAY,EAAE,YAAY,CAAC,CAAC;YAC3E,IAAI,CAAC,UAAU,CAAC,QAAQ,CAAC,QAAQ,CAAC,EAAE,CAAC;gBACjC,OAAO,IAAI,CAAC,CAAC,kBAAkB;YACnC,CAAC;YAED,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,gDAAgD,QAAQ,EAAE,CAAC,CAAC;YAE5E,MAAM,MAAM,GAAG,MAAM,0BAAc,CAAC,QAAQ,CAAC,MAAM,EAAE,QAAQ,CAAC,CAAC;YAE/D,OAAO;gBACH,MAAM,EAAE,MAAM,CAAC,MAAM;gBACrB,QAAQ,EAAE,MAAM,CAAC,QAAQ;aAC5B,CAAC;QACN,CAAC,CAAC,CAAC;QAEH,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,iCAAiC,CAAC,CAAC;IACvD,CAAC;IACD,KAAK,CAAC,UAAU,CAAC,GAAkB;QAC/B,GAAG,CAAC,MAAM,CAAC,IAAI,CAAC,mCAAmC,CAAC,CAAC;IACzD,CAAC;CACJ,CAAC;AAEF,kBAAe,MAAM,CAAC"}
@@ -1,35 +0,0 @@
import { PluginInstance, PluginContext } from '../../backend/src/core/types';
import { ImageOptimizer } from './backend/Optimizer';
import manifest from './manifest.json';
const plugin: PluginInstance = {
manifest: manifest as any,
async activate(ctx: PluginContext): Promise<void> {
// Register for the upload:transform hook
ctx.hooks.register('upload:transform', async (payload: any) => {
const { buffer, mimetype, category } = payload;
// Only process common image formats
const imageTypes = ['image/jpeg', 'image/png', 'image/webp', 'image/avif'];
if (!imageTypes.includes(mimetype)) {
return null; // Skip non-images
}
ctx.logger.info(`[SmartVision] Optimizing image for category: ${category}`);
const result = await ImageOptimizer.optimize(buffer, category);
return {
buffer: result.buffer,
mimetype: result.mimetype
};
});
ctx.logger.info('SmartVision Optimizer activated');
},
async deactivate(ctx: PluginContext): Promise<void> {
ctx.logger.info('SmartVision Optimizer deactivated');
}
};
export default plugin;
@@ -1,19 +0,0 @@
{
"name": "SmartVision",
"displayName": "SmartVision Optimizer",
"version": "1.0.0",
"description": "Otimização inteligente de imagens com WebP e Smart Crop 1:1.",
"author": "Clube67 Team",
"category": "integration",
"enabled": true,
"canDisable": true,
"dependencies": [
"uploads"
],
"hooks": {
"subscribes": [
"upload:transform"
],
"emits": []
}
}