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// DataBase/schema-mongo.js
// MongoDB schemas for Acadly video streaming system using GridFS
const mongoose = require("./resolve-mongoose");
// ============================================================
// VIDEO METADATA SCHEMA
// Stores metadata for videos stored in GridFS
// ============================================================
const videoMetadataSchema = new mongoose.Schema(
{
// Reference to GridFS file_id
file_id: {
type: mongoose.Schema.Types.ObjectId,
required: true,
unique: true,
description: "GridFS file ID for the video binary",
},
// Video information
title: {
type: String,
required: true,
trim: true,
description: "Video title",
},
description: {
type: String,
trim: true,
description: "Video description/summary",
},
topic: {
type: String,
description: "Learning topic (e.g., 'Machine Learning')",
},
category: {
type: String,
default: "General",
description: "Video category for filtering",
},
subcategory: {
type: String,
description: "Video subcategory",
},
// Media properties
duration: {
type: Number,
required: true,
description: "Video duration in seconds",
},
format: {
type: String,
enum: ["mp4", "webm", "mkv", "avi"],
default: "mp4",
description: "Video format/codec",
},
resolution: {
type: [String],
default: ["720p"],
description: "Available resolutions: [1080p, 720p, 480p, 360p]",
},
bitrate: {
type: String,
description: "Video bitrate (e.g., '5 Mbps')",
},
fileSize: {
type: Number,
description: "File size in bytes",
},
mimeType: {
type: String,
default: "video/mp4",
description: "MIME type for HTTP headers",
},
localFilePath: {
type: String,
description: "Absolute path of local backup in /Videos folder",
},
// Thumbnail
thumbnail: {
type: String,
description: "Thumbnail URL (base64 or external link)",
},
// Optional WebVTT / track URLs for the HTML5 player
subtitleTracks: [
{
kind: { type: String, default: "subtitles" },
label: String,
srclang: String,
src: { type: String, required: true },
default: { type: Boolean, default: false },
},
],
// Inline study notes (shown in player drawer)
notes: {
type: [String],
default: [],
},
// Single end-of-video quiz (optional)
quiz: {
question: { type: String },
options: [{ type: String }],
correctIndex: { type: Number, min: 0 },
},
thumbnailGridFS: {
type: mongoose.Schema.Types.ObjectId,
description: "GridFS ID of thumbnail image (optional)",
},
// Educational metadata
targetAudience: {
type: String,
enum: ["beginner", "intermediate", "advanced"],
default: "intermediate",
},
learningOutcomes: {
type: [String],
description: "List of learning objectives",
},
tags: {
type: [String],
description: "Search tags",
},
// Gamification
xpReward: {
type: Number,
default: 25,
description: "XP points awarded for completing this video",
},
// Status
isPublished: {
type: Boolean,
default: false,
description: "Video is published and visible to students",
},
isActive: {
type: Boolean,
default: true,
description: "Video is available (not archived/disabled)",
},
// Audit
uploadedBy: {
type: Number,
description: "MySQL user_id of uploader",
},
uploadedAt: {
type: Date,
default: Date.now,
},
updatedAt: {
type: Date,
default: Date.now,
},
views: {
type: Number,
default: 0,
description: "Total view count",
},
rating: {
type: Number,
min: 0,
max: 5,
description: "Average user rating",
},
},
{
collection: "video_metadata",
timestamps: true,
}
);
// Create indexes for faster queries
videoMetadataSchema.index({ title: "text", description: "text", tags: 1 });
videoMetadataSchema.index({ category: 1 });
videoMetadataSchema.index({ isPublished: 1, isActive: 1 });
videoMetadataSchema.index({ file_id: 1 });
const VideoMetadata = mongoose.model("VideoMetadata", videoMetadataSchema);
// ============================================================
// VIDEO FEEDBACK SCHEMA (Optional)
// Stores user ratings/reviews for videos
// ============================================================
const videoFeedbackSchema = new mongoose.Schema(
{
video_id: {
type: mongoose.Schema.Types.ObjectId,
ref: "VideoMetadata",
required: true,
},
user_id: {
type: Number,
required: true,
description: "MySQL user_id",
},
rating: {
type: Number,
min: 1,
max: 5,
required: true,
},
comment: {
type: String,
trim: true,
},
helpful: {
type: Number,
default: 0,
description: "Count of users who found this feedback helpful",
},
createdAt: {
type: Date,
default: Date.now,
},
},
{
collection: "video_feedback",
}
);
const VideoFeedback = mongoose.model("VideoFeedback", videoFeedbackSchema);
// ============================================================
// PDF LIBRARY SCHEMA
// Stores metadata for PDFs stored in GridFS
// ============================================================
const pdfDocumentSchema = new mongoose.Schema(
{
file_id: {
type: mongoose.Schema.Types.ObjectId,
required: true,
unique: true,
},
title: {
type: String,
required: true,
trim: true,
},
description: {
type: String,
trim: true,
default: "",
},
category: {
type: String,
default: "General",
},
tags: {
type: [String],
default: [],
},
fileSize: {
type: Number,
default: 0,
},
mimeType: {
type: String,
default: "application/pdf",
},
localFilePath: {
type: String,
},
isActive: {
type: Boolean,
default: true,
},
uploadedAt: {
type: Date,
default: Date.now,
},
},
{
collection: "pdf_documents",
timestamps: true,
}
);
pdfDocumentSchema.index({ title: "text", description: "text", tags: 1 });
pdfDocumentSchema.index({ category: 1 });
pdfDocumentSchema.index({ uploadedAt: -1 });
const PdfDocument = mongoose.model("PdfDocument", pdfDocumentSchema);
// ============================================================
// EXPORT SCHEMAS AND INITIALIZATION
// ============================================================
/**
* Initialize MongoDB collections (run once)
* Creates indexes and ensures collections exist
*/
async function initializeCollections() {
try {
// Create collections and indexes
await VideoMetadata.collection.createIndex({ file_id: 1 });
await VideoMetadata.collection.createIndex({
title: "text",
description: "text",
});
await VideoFeedback.collection.createIndex({
video_id: 1,
user_id: 1,
});
await PdfDocument.collection.createIndex({
title: "text",
description: "text",
});
await PdfDocument.collection.createIndex({
uploadedAt: -1,
});
console.log("✅ MongoDB collections initialized");
return true;
} catch (error) {
console.error("❌ Error initializing collections:", error.message);
return false;
}
}
module.exports = {
VideoMetadata,
VideoFeedback,
PdfDocument,
initializeCollections,
};