init layout

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Real-Time Video Analysis Platform
Project Overview
A scalable real-time video streaming and AI analysis platform that demonstrates modern cloud-native architecture and machine learning integration. The system ingests RTMP video streams (from sources like OBS), processes them with computer vision AI models, and provides live analysis results through a responsive web dashboard.
Core Functionality
Video Ingestion: Accept RTMP streams and convert to HLS for web playback
AI Processing: Real-time object detection (YOLO) and scene analysis (CLIP) on video segments
Live Dashboard: Angular frontend with WebSocket-powered real-time analysis overlays
Scalable Architecture: Kubernetes-deployed microservices with configurable processing modes
Cloud Integration: GCP services integration while maintaining platform agnostic design
Technical Stack
Backend: Django + Django Channels, PostgreSQL, Redis, Celery
AI/ML: OpenCV, YOLO, CLIP, Whisper (Hugging Face Transformers)
Frontend: Angular 17+ with HLS.js video player and Canvas overlays
Infrastructure: Docker containers, Kubernetes, NGINX
Cloud: Google Cloud Platform integration (Storage, Vision API, Build, Logging)
Streaming: FFmpeg for RTMP→HLS conversion, WebSocket for real-time data
Key Features
Dual processing modes (real-time vs batch) with runtime switching
Live video analysis overlays (bounding boxes, object labels, confidence scores)
OBS Studio integration for testing with various video sources
Kubernetes auto-scaling based on processing queue depth
Performance monitoring and benchmarking for 1080p30 video streams
Platform-agnostic design with cloud-specific optimizations
Architecture Goals
Demonstrate event-driven microservices architecture
Showcase AI model deployment and inference at scale
Implement real-time data streaming and WebSocket communication
Show proficiency with modern web frameworks and container orchestration
Prove understanding of video processing pipelines and streaming protocols
This project serves as a technical showcase for backend development, AI/ML integration, cloud platform expertise, and modern web application architecture - directly addressing the requirements for a streaming media and AI-focused development role.
Master Implementation Checklist
Core Infrastructure Setup
Django project structure - Create apps: streaming, ai_processing, api, dashboard
Database models - Stream, MediaSegment, VideoAnalysis, ObjectDetection tables
Docker containers - Django app, PostgreSQL, Redis, Nginx
Basic Kubernetes manifests - Deployments, services, configmaps, PVCs
RTMP ingestion endpoint - Accept OBS streams, trigger ffmpeg HLS conversion
HLS segment monitoring - File watcher to detect new video segments
AI Processing Pipeline
Video analysis models setup - CLIP for scene understanding, YOLO for object detection
Frame extraction service - Extract keyframes from HLS segments
Real-time vs batch processing abstraction - Strategy pattern implementation
AI processing worker - Celery tasks for video analysis
Results storage - Store detection results with timestamps and confidence scores
Processing queue management - Handle backlog and prioritization
Real-Time Video Effects Pipeline
GPU-accelerated shader pipeline - OpenGL/CUDA integration with FFmpeg
AI-triggered effects system - Apply shaders based on detection results
Custom filter development - Face blur, object highlighting, scene-based color grading
WebGL frontend effects - Client-side shader preview and control
Angular Frontend
Angular 17+ project setup - Standalone components, signals, new control flow
WebSocket service - Real-time communication with Django Channels
Video player component - HLS.js integration for stream playback
Analysis overlay component - Canvas-based bounding boxes and labels
Stream control dashboard - Start/stop streams, processing mode toggle
Real-time results panel - Live object detection and scene analysis display
Real-time Communication
Django Channels setup - WebSocket consumers for live data streaming
WebSocket message protocols - Define message types for analysis results
Frontend WebSocket integration - Angular service for real-time updates
Overlay synchronization - Match analysis results with video timeline
GCP Integration Features
Cloud Storage integration - Store processed video segments and analysis results
Cloud Vision API comparison - Benchmark against local models (within free tier)
Cloud Logging - Structured logging for monitoring and debugging
Cloud Build CI/CD - Automated Docker builds and deployments
GKE-specific configurations - Node selectors, resource requests/limits
Cloud Load Balancer - External access to the application
Video Processing & Effects
FFmpeg integration - HLS generation with proper segment duration
Video quality optimization - Handle 1080p streams efficiently
Frame rate analysis - Detect motion and activity levels
Color analysis - Dominant colors and scene brightness
Performance monitoring - Track processing latency and throughput
Kubernetes Production Setup
Resource management - CPU/memory limits for AI processing
Auto-scaling configuration - HPA based on processing queue length
Persistent storage - Claims for video segments and database
Service mesh setup - Istio for traffic management (optional)
Monitoring stack - Prometheus and Grafana integration
Ingress configuration - NGINX ingress with SSL termination
Testing & Validation
OBS integration testing - Verify RTMP stream ingestion
AI model accuracy testing - Validate object detection results
Performance benchmarking - Process 1080p30 streams in real-time
WebSocket stress testing - Multiple concurrent viewers
End-to-end pipeline testing - OBS → Processing → Angular display
Documentation & Deployment
API documentation - OpenAPI/Swagger specs
Kubernetes deployment guide - Step-by-step cluster setup
GCP setup instructions - Service account, IAM, and resource creation
Architecture diagrams - System overview and data flow
Performance metrics documentation - Benchmarks and optimization notes
Suggested Implementation Order:
Phase 1 (Foundation): Infrastructure Setup → Django + Models → Docker Setup
Phase 2 (Core Features): RTMP Ingestion → AI Processing Pipeline → Results Storage
Phase 3 (Frontend): Angular Setup → WebSocket Service → Video Player
Phase 4 (Integration): Real-time Communication → Analysis Overlays → Stream Control
Phase 5 (Cloud): GCP Services → Kubernetes Production → Monitoring
Phase 6 (Polish): Testing → Documentation → Performance Optimization
This order ensures each component builds on the previous ones and you can test functionality incrementally. The GCP integration is spread throughout to demonstrate platform knowledge without being overwhelming.
Ready to start with the foundation phase?
Media Analyzer - Complete Project Structure
media-analyzer/
├── README.md
├── docker-compose.yml # Development environment
├── requirements.txt # Python dependencies
├── manage.py # Django management
├── backend/ # Django application root
│ ├── media_analyzer/ # Main Django project
│ │ ├── __init__.py
│ │ ├── settings/
│ │ │ ├── __init__.py
│ │ │ ├── base.py # Base settings
│ │ │ ├── development.py # Dev overrides
│ │ │ └── production.py # Prod overrides
│ │ ├── urls.py # Main URL routing
│ │ ├── wsgi.py # WSGI application
│ │ └── asgi.py # ASGI for Django Channels
│ │
│ ├── streaming/ # RTMP/HLS handling app
│ │ ├── __init__.py
│ │ ├── models.py # Stream, MediaSegment models
│ │ ├── views.py # RTMP endpoints
│ │ ├── consumers.py # WebSocket consumers
│ │ ├── rtmp_handler.py # RTMP server logic
│ │ ├── hls_monitor.py # File system watcher
│ │ └── urls.py
│ │
│ ├── ai_processing/ # AI analysis app
│ │ ├── __init__.py
│ │ ├── models.py # Analysis results models
│ │ ├── processors/
│ │ │ ├── __init__.py
│ │ │ ├── base.py # Processing strategy interface
│ │ │ ├── realtime.py # Real-time processor
│ │ │ ├── batch.py # Batch processor
│ │ │ └── video_analyzer.py # CLIP/YOLO integration
│ │ ├── tasks.py # Celery tasks
│ │ └── apps.py # App configuration
│ │
│ ├── effects/ # Real-time video effects app
│ │ ├── __init__.py
│ │ ├── models.py # Effect presets, shader configs
│ │ ├── processors/
│ │ │ ├── __init__.py
│ │ │ ├── gpu_pipeline.py # OpenGL/CUDA processing
│ │ │ ├── ffmpeg_filters.py # FFmpeg custom filters
│ │ │ └── effect_engine.py # Main effects orchestrator
│ │ ├── shaders/ # GLSL shader files
│ │ │ ├── vertex/ # Vertex shaders
│ │ │ ├── fragment/ # Fragment shaders
│ │ │ ├── blur.glsl # Face blur shader
│ │ │ ├── highlight.glsl # Object highlight shader
│ │ │ └── color_grade.glsl # Scene-based color grading
│ │ ├── triggers/
│ │ │ ├── __init__.py
│ │ │ ├── ai_triggers.py # AI detection → effect mapping
│ │ │ └── manual_triggers.py # User-controlled effects
│ │ ├── tasks.py # GPU processing Celery tasks
│ │ └── apps.py
│ │
│ └── api/ # REST API app
│ ├── __init__.py
│ ├── serializers.py # DRF serializers
│ ├── views.py # API endpoints
│ └── urls.py
├── frontend/ # Angular application
│ ├── package.json
│ ├── angular.json
│ ├── src/
│ │ ├── app/
│ │ │ ├── app.component.ts
│ │ │ ├── app.config.ts # Angular 17+ config
│ │ │ │
│ │ │ ├── components/
│ │ │ │ ├── stream-viewer/
│ │ │ │ │ ├── stream-viewer.component.ts
│ │ │ │ │ ├── stream-viewer.component.html
│ │ │ │ │ └── stream-viewer.component.scss
│ │ │ │ ├── analysis-panel/
│ │ │ │ │ └── analysis-panel.component.ts
│ │ │ │ ├── stream-control/
│ │ │ │ │ └── stream-control.component.ts
│ │ │ │ └── effects-panel/
│ │ │ │ ├── effects-panel.component.ts
│ │ │ │ ├── effects-panel.component.html
│ │ │ │ └── shader-editor.component.ts
│ │ │ │
│ │ │ ├── services/
│ │ │ │ ├── websocket.service.ts
│ │ │ │ ├── stream.service.ts
│ │ │ │ ├── analysis.service.ts
│ │ │ │ └── effects.service.ts
│ │ │ │
│ │ │ ├── webgl/ # Client-side effects engine
│ │ │ │ ├── shader.service.ts
│ │ │ │ ├── effects-engine.ts
│ │ │ │ ├── webgl-utils.ts
│ │ │ │ └── shaders/ # WebGL shaders
│ │ │ │ ├── overlay.vert.glsl
│ │ │ │ ├── overlay.frag.glsl
│ │ │ │ ├── particle.vert.glsl
│ │ │ │ └── particle.frag.glsl
│ │ │ │
│ │ │ └── models/
│ │ │ ├── stream.interface.ts
│ │ │ ├── analysis.interface.ts
│ │ │ └── effects.interface.ts
│ │ │
│ │ └── main.ts # Angular bootstrap
│ └── ...
├── docker/ # Docker configurations
│ ├── Dockerfile.django # Django app container
│ ├── Dockerfile.nginx # Nginx for HLS serving
│ └── docker-compose.override.yml
├── k8s/ # Kubernetes manifests
│ ├── base/ # Base configurations
│ │ ├── namespace.yaml
│ │ ├── django-deployment.yaml
│ │ ├── nginx-deployment.yaml
│ │ ├── postgres-statefulset.yaml
│ │ ├── redis-deployment.yaml
│ │ ├── services.yaml
│ │ └── configmaps.yaml
│ │
│ ├── overlays/ # Environment-specific
│ │ ├── development/
│ │ │ └── kustomization.yaml
│ │ └── production/
│ │ ├── kustomization.yaml
│ │ └── gcp-specific.yaml
│ │
│ └── scripts/
│ ├── deploy.sh
│ └── setup-cluster.sh
├── media/ # Media storage (mounted volume)
│ ├── segments/ # HLS video segments
│ ├── playlists/ # HLS playlists
│ └── uploads/ # Uploaded content
├── scripts/ # Helper scripts
│ ├── setup-dev.sh # Development environment setup
│ ├── start-rtmp-server.sh # RTMP server startup
│ └── load-ai-models.py # Download and setup AI models
└── docs/ # Documentation
├── api.md # API documentation
├── deployment.md # Deployment guide
└── architecture.md # System architecture
vertical separation instead of phases
Slice 1: Basic Stream Ingestion
RTMP endpoint (basic)
HLS conversion (minimal)
Stream model + API
Simple Angular video player
Basic K8s deployment
Slice 2: AI Processing Foundation
Video segment detection
Single AI model integration (YOLO)
Processing strategy abstraction
Results storage + API
Analysis display component
Slice 3: Real-time Communication
WebSocket setup
Live analysis streaming
Frontend overlay system
Processing queue monitoring
Slice 4: GCP Integration
Cloud Storage for segments
GKE deployment
Monitoring integration

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# Media Analyzer Project Setup Commands
# ===== PROJECT ROOT SETUP =====
mkdir media-analyzer
cd media-analyzer
# Create main directories
mkdir -p {docker,k8s/{base,overlays/{development,production}},media/{segments,playlists,uploads},scripts,docs}
# ===== DJANGO BACKEND SETUP =====
cd backend
# Create Django project
django-admin startproject media_analyzer .
# Create Django apps with proper structure
python manage.py startapp streaming
python manage.py startapp ai_processing
python manage.py startapp effects
python manage.py startapp api
# Create settings directory structure
mkdir media_analyzer/settings
touch media_analyzer/settings/__init__.py
mv media_analyzer/settings.py media_analyzer/settings/base.py
touch media_analyzer/settings/{development.py,production.py}
# Create subdirectories for complex apps
mkdir -p ai_processing/processors
touch ai_processing/processors/{__init__.py,base.py,realtime.py,batch.py,video_analyzer.py}
mkdir -p effects/{processors,shaders/{vertex,fragment},triggers}
touch effects/processors/{__init__.py,gpu_pipeline.py,ffmpeg_filters.py,effect_engine.py}
touch effects/shaders/{blur.glsl,highlight.glsl,color_grade.glsl}
touch effects/triggers/{__init__.py,ai_triggers.py,manual_triggers.py}
# ===== ANGULAR FRONTEND SETUP =====
# Create Angular 17+ project (this creates the frontend directory)
ng new frontend --routing --style=scss --standalone --skip-git
# NOW enter the created Angular project directory
cd frontend
# Generate components (must be run inside Angular project)
ng generate component components/stream-viewer --standalone
ng generate component components/analysis-panel --standalone
ng generate component components/stream-control --standalone
ng generate component components/effects-panel --standalone
ng generate component components/effects-panel/shader-editor --standalone
# Generate services (must be run inside Angular project)
ng generate service services/websocket
ng generate service services/stream
ng generate service services/analysis
ng generate service services/effects
ng generate service webgl/shader
ng generate service webgl/effects-engine
# Create interfaces (must be run inside Angular project)
ng generate interface models/stream
ng generate interface models/analysis
ng generate interface models/effects
# Create WebGL utilities directory (can use mkdir here)
mkdir -p src/app/webgl/shaders
touch src/app/webgl/{webgl-utils.ts,effects-engine.ts}
touch src/app/webgl/shaders/{overlay.vert.glsl,overlay.frag.glsl,particle.vert.glsl,particle.frag.glsl}
# ===== ADDITIONAL SETUP =====
cd ..
# Create Docker files
touch docker/{Dockerfile.django,Dockerfile.nginx,docker-compose.override.yml}
touch docker-compose.yml
# Create Kubernetes manifests
touch k8s/base/{namespace.yaml,django-deployment.yaml,nginx-deployment.yaml,postgres-statefulset.yaml,redis-deployment.yaml,services.yaml,configmaps.yaml}
touch k8s/overlays/development/kustomization.yaml
touch k8s/overlays/production/{kustomization.yaml,gcp-specific.yaml}
# Create scripts
touch scripts/{setup-dev.sh,start-rtmp-server.sh,load-ai-models.py}
chmod +x scripts/*.sh
# Create requirements and config files
touch {requirements.txt,README.md}
# ===== DJANGO ADDITIONAL SETUP =====
cd backend
# Create Django Channels routing
touch media_analyzer/routing.py
# Create consumers for WebSocket
touch streaming/consumers.py
# Create custom management commands
mkdir -p streaming/management/commands
touch streaming/management/__init__.py
touch streaming/management/commands/{__init__.py,start_rtmp_server.py}
mkdir -p ai_processing/management/commands
touch ai_processing/management/__init__.py
touch ai_processing/management/commands/{__init__.py,load_models.py}
# Create Celery configuration
touch media_analyzer/celery.py
# ===== VERIFICATION COMMANDS =====
echo "=== DJANGO STRUCTURE VERIFICATION ==="
cd ../backend # Go back to backend from frontend
find . -name "*.py" | head -20
echo "=== ANGULAR STRUCTURE VERIFICATION ==="
cd ../frontend # Go to frontend from backend
find src/app -type f | head -20
echo "=== PROJECT ROOT VERIFICATION ==="
cd .. # Go to project root
tree -I 'node_modules|__pycache__|*.pyc' -L 3

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from django.contrib import admin
# Register your models here.

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from django.apps import AppConfig
class AiProcessingConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'ai_processing'

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from django.db import models
# Create your models here.

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from django.test import TestCase
# Create your tests here.

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from django.shortcuts import render
# Create your views here.

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from django.contrib import admin
# Register your models here.

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from django.apps import AppConfig
class ApiConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'api'

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from django.db import models
# Create your models here.

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from django.test import TestCase
# Create your tests here.

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from django.shortcuts import render
# Create your views here.

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from django.contrib import admin
# Register your models here.

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from django.apps import AppConfig
class EffectsConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'effects'

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from django.db import models
# Create your models here.

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from django.test import TestCase
# Create your tests here.

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from django.shortcuts import render
# Create your views here.

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#!/usr/bin/env python
"""Django's command-line utility for administrative tasks."""
import os
import sys
def main():
"""Run administrative tasks."""
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'media_analyzer.settings')
try:
from django.core.management import execute_from_command_line
except ImportError as exc:
raise ImportError(
"Couldn't import Django. Are you sure it's installed and "
"available on your PYTHONPATH environment variable? Did you "
"forget to activate a virtual environment?"
) from exc
execute_from_command_line(sys.argv)
if __name__ == '__main__':
main()

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"""
ASGI config for media_analyzer project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/5.2/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'media_analyzer.settings')
application = get_asgi_application()

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# Import environment-specific settings
import os
from .base import *
env = os.environ.get("DJANGO_ENV", "development")
if env == "production":
from .production import *
else:
from .development import *

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"""
Django settings for media_analyzer project.
Generated by 'django-admin startproject' using Django 5.2.5.
For more information on this file, see
https://docs.djangoproject.com/en/5.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/5.2/ref/settings/
"""
from pathlib import Path
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/5.2/howto/deployment/checklist/
# SECURITY WARNING: keep the secret key used in production secret!
SECRET_KEY = "django-insecure-n=jmw6r)102f0mytr7m1q5qwk^v$fd8gyokqpglsd&rl$d(^0="
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
"django.contrib.admin",
"django.contrib.auth",
"django.contrib.contenttypes",
"django.contrib.sessions",
"django.contrib.messages",
"django.contrib.staticfiles",
"channels", # For WebSocket
"rest_framework", # For API
"streaming",
"ai_processing",
"effects",
"api",
]
MIDDLEWARE = [
"django.middleware.security.SecurityMiddleware",
"django.contrib.sessions.middleware.SessionMiddleware",
"django.middleware.common.CommonMiddleware",
"django.middleware.csrf.CsrfViewMiddleware",
"django.contrib.auth.middleware.AuthenticationMiddleware",
"django.contrib.messages.middleware.MessageMiddleware",
"django.middleware.clickjacking.XFrameOptionsMiddleware",
]
ROOT_URLCONF = "media_analyzer.urls"
TEMPLATES = [
{
"BACKEND": "django.template.backends.django.DjangoTemplates",
"DIRS": [],
"APP_DIRS": True,
"OPTIONS": {
"context_processors": [
"django.template.context_processors.request",
"django.contrib.auth.context_processors.auth",
"django.contrib.messages.context_processors.messages",
],
},
},
]
WSGI_APPLICATION = "media_analyzer.wsgi.application"
# Database
# https://docs.djangoproject.com/en/5.2/ref/settings/#databases
DATABASES = {
"default": {
"ENGINE": "django.db.backends.sqlite3",
"NAME": BASE_DIR / "db.sqlite3",
}
}
# Password validation
# https://docs.djangoproject.com/en/5.2/ref/settings/#auth-password-validators
AUTH_PASSWORD_VALIDATORS = [
{
"NAME": "django.contrib.auth.password_validation.UserAttributeSimilarityValidator",
},
{
"NAME": "django.contrib.auth.password_validation.MinimumLengthValidator",
},
{
"NAME": "django.contrib.auth.password_validation.CommonPasswordValidator",
},
{
"NAME": "django.contrib.auth.password_validation.NumericPasswordValidator",
},
]
# Internationalization
# https://docs.djangoproject.com/en/5.2/topics/i18n/
LANGUAGE_CODE = "en-us"
TIME_ZONE = "UTC"
USE_I18N = True
USE_TZ = True
# Static files (CSS, JavaScript, Images)
# https://docs.djangoproject.com/en/5.2/howto/static-files/
STATIC_URL = "static/"
# Default primary key field type
# https://docs.djangoproject.com/en/5.2/ref/settings/#default-auto-field
DEFAULT_AUTO_FIELD = "django.db.models.BigAutoField"

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"""
URL configuration for media_analyzer project.
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/5.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based views
1. Add an import: from other_app.views import Home
2. Add a URL to urlpatterns: path('', Home.as_view(), name='home')
Including another URLconf
1. Import the include() function: from django.urls import include, path
2. Add a URL to urlpatterns: path('blog/', include('blog.urls'))
"""
from django.contrib import admin
from django.urls import path
urlpatterns = [
path('admin/', admin.site.urls),
]

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"""
WSGI config for media_analyzer project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/5.2/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'media_analyzer.settings')
application = get_wsgi_application()

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from django.contrib import admin
# Register your models here.

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from django.apps import AppConfig
class StreamingConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'streaming'

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from django.db import models
# Create your models here.

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from django.test import TestCase
# Create your tests here.

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from django.shortcuts import render
# Create your views here.

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# Editor configuration, see https://editorconfig.org
root = true
[*]
charset = utf-8
indent_style = space
indent_size = 2
insert_final_newline = true
trim_trailing_whitespace = true
[*.ts]
quote_type = single
[*.md]
max_line_length = off
trim_trailing_whitespace = false

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# See https://docs.github.com/get-started/getting-started-with-git/ignoring-files for more about ignoring files.
# Compiled output
/dist
/tmp
/out-tsc
/bazel-out
# Node
/node_modules
npm-debug.log
yarn-error.log
# IDEs and editors
.idea/
.project
.classpath
.c9/
*.launch
.settings/
*.sublime-workspace
# Visual Studio Code
.vscode/*
!.vscode/settings.json
!.vscode/tasks.json
!.vscode/launch.json
!.vscode/extensions.json
.history/*
# Miscellaneous
/.angular/cache
.sass-cache/
/connect.lock
/coverage
/libpeerconnection.log
testem.log
/typings
# System files
.DS_Store
Thumbs.db

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{
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=827846
"recommendations": ["angular.ng-template"]
}

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@@ -0,0 +1,20 @@
{
// For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
"version": "0.2.0",
"configurations": [
{
"name": "ng serve",
"type": "chrome",
"request": "launch",
"preLaunchTask": "npm: start",
"url": "http://localhost:4200/"
},
{
"name": "ng test",
"type": "chrome",
"request": "launch",
"preLaunchTask": "npm: test",
"url": "http://localhost:9876/debug.html"
}
]
}

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{
// For more information, visit: https://go.microsoft.com/fwlink/?LinkId=733558
"version": "2.0.0",
"tasks": [
{
"type": "npm",
"script": "start",
"isBackground": true,
"problemMatcher": {
"owner": "typescript",
"pattern": "$tsc",
"background": {
"activeOnStart": true,
"beginsPattern": {
"regexp": "(.*?)"
},
"endsPattern": {
"regexp": "bundle generation complete"
}
}
}
},
{
"type": "npm",
"script": "test",
"isBackground": true,
"problemMatcher": {
"owner": "typescript",
"pattern": "$tsc",
"background": {
"activeOnStart": true,
"beginsPattern": {
"regexp": "(.*?)"
},
"endsPattern": {
"regexp": "bundle generation complete"
}
}
}
}
]
}

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# Frontend
This project was generated with [Angular CLI](https://github.com/angular/angular-cli) version 17.3.17.
## Development server
Run `ng serve` for a dev server. Navigate to `http://localhost:4200/`. The application will automatically reload if you change any of the source files.
## Code scaffolding
Run `ng generate component component-name` to generate a new component. You can also use `ng generate directive|pipe|service|class|guard|interface|enum|module`.
## Build
Run `ng build` to build the project. The build artifacts will be stored in the `dist/` directory.
## Running unit tests
Run `ng test` to execute the unit tests via [Karma](https://karma-runner.github.io).
## Running end-to-end tests
Run `ng e2e` to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.
## Further help
To get more help on the Angular CLI use `ng help` or go check out the [Angular CLI Overview and Command Reference](https://angular.io/cli) page.

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{
"$schema": "./node_modules/@angular/cli/lib/config/schema.json",
"version": 1,
"newProjectRoot": "projects",
"projects": {
"frontend": {
"projectType": "application",
"schematics": {
"@schematics/angular:component": {
"style": "scss"
}
},
"root": "",
"sourceRoot": "src",
"prefix": "app",
"architect": {
"build": {
"builder": "@angular-devkit/build-angular:application",
"options": {
"outputPath": "dist/frontend",
"index": "src/index.html",
"browser": "src/main.ts",
"polyfills": [
"zone.js"
],
"tsConfig": "tsconfig.app.json",
"inlineStyleLanguage": "scss",
"assets": [
"src/favicon.ico",
"src/assets",
{
"glob": "**/*.glsl",
"input": "src/app/webgl/shaders",
"output": "/assets/shaders/"
}
],
"styles": [
"src/styles.scss"
],
"scripts": []
},
"configurations": {
"production": {
"budgets": [
{
"type": "initial",
"maximumWarning": "500kb",
"maximumError": "1mb"
},
{
"type": "anyComponentStyle",
"maximumWarning": "2kb",
"maximumError": "4kb"
}
],
"outputHashing": "all"
},
"development": {
"optimization": false,
"extractLicenses": false,
"sourceMap": true
}
},
"defaultConfiguration": "production"
},
"serve": {
"builder": "@angular-devkit/build-angular:dev-server",
"configurations": {
"production": {
"buildTarget": "frontend:build:production"
},
"development": {
"buildTarget": "frontend:build:development"
}
},
"defaultConfiguration": "development"
},
"extract-i18n": {
"builder": "@angular-devkit/build-angular:extract-i18n",
"options": {
"buildTarget": "frontend:build"
}
},
"test": {
"builder": "@angular-devkit/build-angular:karma",
"options": {
"polyfills": [
"zone.js",
"zone.js/testing"
],
"tsConfig": "tsconfig.spec.json",
"inlineStyleLanguage": "scss",
"assets": [
"src/favicon.ico",
"src/assets"
],
"styles": [
"src/styles.scss"
],
"scripts": []
}
}
}
}
},
"cli": {
"analytics": "1bae9ab4-6348-45ca-9cac-98667ba0d327"
}
}

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media-analyzer/frontend/package-lock.json generated Normal file

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{
"name": "frontend",
"version": "0.0.0",
"scripts": {
"ng": "ng",
"start": "ng serve",
"build": "ng build",
"watch": "ng build --watch --configuration development",
"test": "ng test"
},
"private": true,
"dependencies": {
"@angular/animations": "^17.3.0",
"@angular/common": "^17.3.0",
"@angular/compiler": "^17.3.0",
"@angular/core": "^17.3.0",
"@angular/forms": "^17.3.0",
"@angular/platform-browser": "^17.3.0",
"@angular/platform-browser-dynamic": "^17.3.0",
"@angular/router": "^17.3.0",
"rxjs": "~7.8.0",
"tslib": "^2.3.0",
"zone.js": "~0.14.3"
},
"devDependencies": {
"@angular-devkit/build-angular": "^17.3.17",
"@angular/cli": "^17.3.17",
"@angular/compiler-cli": "^17.3.0",
"@types/jasmine": "~5.1.0",
"jasmine-core": "~5.1.0",
"karma": "~6.4.0",
"karma-chrome-launcher": "~3.2.0",
"karma-coverage": "~2.2.0",
"karma-jasmine": "~5.1.0",
"karma-jasmine-html-reporter": "~2.1.0",
"typescript": "~5.4.2"
}
}

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<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * The content below * * * * * * * * * * * -->
<!-- * * * * * * * * * * is only a placeholder * * * * * * * * * * -->
<!-- * * * * * * * * * * and can be replaced. * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * Delete the template below * * * * * * * * * -->
<!-- * * * * * * * to get started with your project! * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<style>
:host {
--bright-blue: oklch(51.01% 0.274 263.83);
--electric-violet: oklch(53.18% 0.28 296.97);
--french-violet: oklch(47.66% 0.246 305.88);
--vivid-pink: oklch(69.02% 0.277 332.77);
--hot-red: oklch(61.42% 0.238 15.34);
--orange-red: oklch(63.32% 0.24 31.68);
--gray-900: oklch(19.37% 0.006 300.98);
--gray-700: oklch(36.98% 0.014 302.71);
--gray-400: oklch(70.9% 0.015 304.04);
--red-to-pink-to-purple-vertical-gradient: linear-gradient(
180deg,
var(--orange-red) 0%,
var(--vivid-pink) 50%,
var(--electric-violet) 100%
);
--red-to-pink-to-purple-horizontal-gradient: linear-gradient(
90deg,
var(--orange-red) 0%,
var(--vivid-pink) 50%,
var(--electric-violet) 100%
);
--pill-accent: var(--bright-blue);
font-family: "Inter", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
"Segoe UI Symbol";
box-sizing: border-box;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
h1 {
font-size: 3.125rem;
color: var(--gray-900);
font-weight: 500;
line-height: 100%;
letter-spacing: -0.125rem;
margin: 0;
font-family: "Inter Tight", -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji",
"Segoe UI Symbol";
}
p {
margin: 0;
color: var(--gray-700);
}
main {
width: 100%;
min-height: 100%;
display: flex;
justify-content: center;
align-items: center;
padding: 1rem;
box-sizing: inherit;
position: relative;
}
.angular-logo {
max-width: 9.2rem;
}
.content {
display: flex;
justify-content: space-around;
width: 100%;
max-width: 700px;
margin-bottom: 3rem;
}
.content h1 {
margin-top: 1.75rem;
}
.content p {
margin-top: 1.5rem;
}
.divider {
width: 1px;
background: var(--red-to-pink-to-purple-vertical-gradient);
margin-inline: 0.5rem;
}
.pill-group {
display: flex;
flex-direction: column;
align-items: start;
flex-wrap: wrap;
gap: 1.25rem;
}
.pill {
display: flex;
align-items: center;
--pill-accent: var(--bright-blue);
background: color-mix(in srgb, var(--pill-accent) 5%, transparent);
color: var(--pill-accent);
padding-inline: 0.75rem;
padding-block: 0.375rem;
border-radius: 2.75rem;
border: 0;
transition: background 0.3s ease;
font-family: var(--inter-font);
font-size: 0.875rem;
font-style: normal;
font-weight: 500;
line-height: 1.4rem;
letter-spacing: -0.00875rem;
text-decoration: none;
}
.pill:hover {
background: color-mix(in srgb, var(--pill-accent) 15%, transparent);
}
.pill-group .pill:nth-child(6n + 1) {
--pill-accent: var(--bright-blue);
}
.pill-group .pill:nth-child(6n + 2) {
--pill-accent: var(--french-violet);
}
.pill-group .pill:nth-child(6n + 3),
.pill-group .pill:nth-child(6n + 4),
.pill-group .pill:nth-child(6n + 5) {
--pill-accent: var(--hot-red);
}
.pill-group svg {
margin-inline-start: 0.25rem;
}
.social-links {
display: flex;
align-items: center;
gap: 0.73rem;
margin-top: 1.5rem;
}
.social-links path {
transition: fill 0.3s ease;
fill: var(--gray-400);
}
.social-links a:hover svg path {
fill: var(--gray-900);
}
@media screen and (max-width: 650px) {
.content {
flex-direction: column;
width: max-content;
}
.divider {
height: 1px;
width: 100%;
background: var(--red-to-pink-to-purple-horizontal-gradient);
margin-block: 1.5rem;
}
}
</style>
<main class="main">
<div class="content">
<div class="left-side">
<svg
xmlns="http://www.w3.org/2000/svg"
viewBox="0 0 982 239"
fill="none"
class="angular-logo"
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/>
</g>
<defs>
<radialGradient
id="c"
cx="0"
cy="0"
r="1"
gradientTransform="rotate(118.122 171.182 60.81) scale(205.794)"
gradientUnits="userSpaceOnUse"
>
<stop stop-color="#FF41F8" />
<stop offset=".707" stop-color="#FF41F8" stop-opacity=".5" />
<stop offset="1" stop-color="#FF41F8" stop-opacity="0" />
</radialGradient>
<linearGradient
id="b"
x1="0"
x2="982"
y1="192"
y2="192"
gradientUnits="userSpaceOnUse"
>
<stop stop-color="#F0060B" />
<stop offset="0" stop-color="#F0070C" />
<stop offset=".526" stop-color="#CC26D5" />
<stop offset="1" stop-color="#7702FF" />
</linearGradient>
<clipPath id="a"><path fill="#fff" d="M0 0h982v239H0z" /></clipPath>
</defs>
</svg>
<h1>Hello, {{ title }}</h1>
<p>Congratulations! Your app is running. 🎉</p>
</div>
<div class="divider" role="separator" aria-label="Divider"></div>
<div class="right-side">
<div class="pill-group">
@for (item of [
{ title: 'Explore the Docs', link: 'https://angular.dev' },
{ title: 'Learn with Tutorials', link: 'https://angular.dev/tutorials' },
{ title: 'CLI Docs', link: 'https://angular.dev/tools/cli' },
{ title: 'Angular Language Service', link: 'https://angular.dev/tools/language-service' },
{ title: 'Angular DevTools', link: 'https://angular.dev/tools/devtools' },
]; track item.title) {
<a
class="pill"
[href]="item.link"
target="_blank"
rel="noopener"
>
<span>{{ item.title }}</span>
<svg
xmlns="http://www.w3.org/2000/svg"
height="14"
viewBox="0 -960 960 960"
width="14"
fill="currentColor"
>
<path
d="M200-120q-33 0-56.5-23.5T120-200v-560q0-33 23.5-56.5T200-840h280v80H200v560h560v-280h80v280q0 33-23.5 56.5T760-120H200Zm188-212-56-56 372-372H560v-80h280v280h-80v-144L388-332Z"
/>
</svg>
</a>
}
</div>
<div class="social-links">
<a
href="https://github.com/angular/angular"
aria-label="Github"
target="_blank"
rel="noopener"
>
<svg
width="25"
height="24"
viewBox="0 0 25 24"
fill="none"
xmlns="http://www.w3.org/2000/svg"
alt="Github"
>
<path
d="M12.3047 0C5.50634 0 0 5.50942 0 12.3047C0 17.7423 3.52529 22.3535 8.41332 23.9787C9.02856 24.0946 9.25414 23.7142 9.25414 23.3871C9.25414 23.0949 9.24389 22.3207 9.23876 21.2953C5.81601 22.0377 5.09414 19.6444 5.09414 19.6444C4.53427 18.2243 3.72524 17.8449 3.72524 17.8449C2.61064 17.082 3.81137 17.0973 3.81137 17.0973C5.04697 17.1835 5.69604 18.3647 5.69604 18.3647C6.79321 20.2463 8.57636 19.7029 9.27978 19.3881C9.39052 18.5924 9.70736 18.0499 10.0591 17.7423C7.32641 17.4347 4.45429 16.3765 4.45429 11.6618C4.45429 10.3185 4.9311 9.22133 5.72065 8.36C5.58222 8.04931 5.16694 6.79833 5.82831 5.10337C5.82831 5.10337 6.85883 4.77319 9.2121 6.36459C10.1965 6.09082 11.2424 5.95546 12.2883 5.94931C13.3342 5.95546 14.3801 6.09082 15.3644 6.36459C17.7023 4.77319 18.7328 5.10337 18.7328 5.10337C19.3942 6.79833 18.9789 8.04931 18.8559 8.36C19.6403 9.22133 20.1171 10.3185 20.1171 11.6618C20.1171 16.3888 17.2409 17.4296 14.5031 17.7321C14.9338 18.1012 15.3337 18.8559 15.3337 20.0084C15.3337 21.6552 15.3183 22.978 15.3183 23.3779C15.3183 23.7009 15.5336 24.0854 16.1642 23.9623C21.0871 22.3484 24.6094 17.7341 24.6094 12.3047C24.6094 5.50942 19.0999 0 12.3047 0Z"
/>
</svg>
</a>
<a
href="https://twitter.com/angular"
aria-label="Twitter"
target="_blank"
rel="noopener"
>
<svg
width="24"
height="24"
viewBox="0 0 24 24"
fill="none"
xmlns="http://www.w3.org/2000/svg"
alt="Twitter"
>
<path
d="M18.244 2.25h3.308l-7.227 8.26 8.502 11.24H16.17l-5.214-6.817L4.99 21.75H1.68l7.73-8.835L1.254 2.25H8.08l4.713 6.231zm-1.161 17.52h1.833L7.084 4.126H5.117z"
/>
</svg>
</a>
<a
href="https://www.youtube.com/channel/UCbn1OgGei-DV7aSRo_HaAiw"
aria-label="Youtube"
target="_blank"
rel="noopener"
>
<svg
width="29"
height="20"
viewBox="0 0 29 20"
fill="none"
xmlns="http://www.w3.org/2000/svg"
alt="Youtube"
>
<path
fill-rule="evenodd"
clip-rule="evenodd"
d="M27.4896 1.52422C27.9301 1.96749 28.2463 2.51866 28.4068 3.12258C29.0004 5.35161 29.0004 10 29.0004 10C29.0004 10 29.0004 14.6484 28.4068 16.8774C28.2463 17.4813 27.9301 18.0325 27.4896 18.4758C27.0492 18.9191 26.5 19.2389 25.8972 19.4032C23.6778 20 14.8068 20 14.8068 20C14.8068 20 5.93586 20 3.71651 19.4032C3.11363 19.2389 2.56449 18.9191 2.12405 18.4758C1.68361 18.0325 1.36732 17.4813 1.20683 16.8774C0.613281 14.6484 0.613281 10 0.613281 10C0.613281 10 0.613281 5.35161 1.20683 3.12258C1.36732 2.51866 1.68361 1.96749 2.12405 1.52422C2.56449 1.08095 3.11363 0.76113 3.71651 0.596774C5.93586 0 14.8068 0 14.8068 0C14.8068 0 23.6778 0 25.8972 0.596774C26.5 0.76113 27.0492 1.08095 27.4896 1.52422ZM19.3229 10L11.9036 5.77905V14.221L19.3229 10Z"
/>
</svg>
</a>
</div>
</div>
</div>
</main>
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * The content above * * * * * * * * * * * * -->
<!-- * * * * * * * * * * is only a placeholder * * * * * * * * * * * -->
<!-- * * * * * * * * * * and can be replaced. * * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<!-- * * * * * * * * * * End of Placeholder * * * * * * * * * * * * -->
<!-- * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * -->
<router-outlet />

View File

@@ -0,0 +1,29 @@
import { TestBed } from '@angular/core/testing';
import { AppComponent } from './app.component';
describe('AppComponent', () => {
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [AppComponent],
}).compileComponents();
});
it('should create the app', () => {
const fixture = TestBed.createComponent(AppComponent);
const app = fixture.componentInstance;
expect(app).toBeTruthy();
});
it(`should have the 'frontend' title`, () => {
const fixture = TestBed.createComponent(AppComponent);
const app = fixture.componentInstance;
expect(app.title).toEqual('frontend');
});
it('should render title', () => {
const fixture = TestBed.createComponent(AppComponent);
fixture.detectChanges();
const compiled = fixture.nativeElement as HTMLElement;
expect(compiled.querySelector('h1')?.textContent).toContain('Hello, frontend');
});
});

View File

@@ -0,0 +1,13 @@
import { Component } from '@angular/core';
import { RouterOutlet } from '@angular/router';
@Component({
selector: 'app-root',
standalone: true,
imports: [RouterOutlet],
templateUrl: './app.component.html',
styleUrl: './app.component.scss'
})
export class AppComponent {
title = 'frontend';
}

View File

@@ -0,0 +1,8 @@
import { ApplicationConfig } from '@angular/core';
import { provideRouter } from '@angular/router';
import { routes } from './app.routes';
export const appConfig: ApplicationConfig = {
providers: [provideRouter(routes)]
};

View File

@@ -0,0 +1,3 @@
import { Routes } from '@angular/router';
export const routes: Routes = [];

View File

@@ -0,0 +1 @@
<p>analysis-panel works!</p>

View File

@@ -0,0 +1,23 @@
import { ComponentFixture, TestBed } from '@angular/core/testing';
import { AnalysisPanelComponent } from './analysis-panel.component';
describe('AnalysisPanelComponent', () => {
let component: AnalysisPanelComponent;
let fixture: ComponentFixture<AnalysisPanelComponent>;
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [AnalysisPanelComponent]
})
.compileComponents();
fixture = TestBed.createComponent(AnalysisPanelComponent);
component = fixture.componentInstance;
fixture.detectChanges();
});
it('should create', () => {
expect(component).toBeTruthy();
});
});

View File

@@ -0,0 +1,12 @@
import { Component } from '@angular/core';
@Component({
selector: 'app-analysis-panel',
standalone: true,
imports: [],
templateUrl: './analysis-panel.component.html',
styleUrl: './analysis-panel.component.scss'
})
export class AnalysisPanelComponent {
}

View File

@@ -0,0 +1 @@
<p>effects-panel works!</p>

View File

@@ -0,0 +1,23 @@
import { ComponentFixture, TestBed } from '@angular/core/testing';
import { EffectsPanelComponent } from './effects-panel.component';
describe('EffectsPanelComponent', () => {
let component: EffectsPanelComponent;
let fixture: ComponentFixture<EffectsPanelComponent>;
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [EffectsPanelComponent]
})
.compileComponents();
fixture = TestBed.createComponent(EffectsPanelComponent);
component = fixture.componentInstance;
fixture.detectChanges();
});
it('should create', () => {
expect(component).toBeTruthy();
});
});

View File

@@ -0,0 +1,12 @@
import { Component } from '@angular/core';
@Component({
selector: 'app-effects-panel',
standalone: true,
imports: [],
templateUrl: './effects-panel.component.html',
styleUrl: './effects-panel.component.scss'
})
export class EffectsPanelComponent {
}

View File

@@ -0,0 +1 @@
<p>shader-editor works!</p>

View File

@@ -0,0 +1,23 @@
import { ComponentFixture, TestBed } from '@angular/core/testing';
import { ShaderEditorComponent } from './shader-editor.component';
describe('ShaderEditorComponent', () => {
let component: ShaderEditorComponent;
let fixture: ComponentFixture<ShaderEditorComponent>;
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [ShaderEditorComponent]
})
.compileComponents();
fixture = TestBed.createComponent(ShaderEditorComponent);
component = fixture.componentInstance;
fixture.detectChanges();
});
it('should create', () => {
expect(component).toBeTruthy();
});
});

View File

@@ -0,0 +1,12 @@
import { Component } from '@angular/core';
@Component({
selector: 'app-shader-editor',
standalone: true,
imports: [],
templateUrl: './shader-editor.component.html',
styleUrl: './shader-editor.component.scss'
})
export class ShaderEditorComponent {
}

View File

@@ -0,0 +1 @@
<p>stream-control works!</p>

View File

@@ -0,0 +1,23 @@
import { ComponentFixture, TestBed } from '@angular/core/testing';
import { StreamControlComponent } from './stream-control.component';
describe('StreamControlComponent', () => {
let component: StreamControlComponent;
let fixture: ComponentFixture<StreamControlComponent>;
beforeEach(async () => {
await TestBed.configureTestingModule({
imports: [StreamControlComponent]
})
.compileComponents();
fixture = TestBed.createComponent(StreamControlComponent);
component = fixture.componentInstance;
fixture.detectChanges();
});
it('should create', () => {
expect(component).toBeTruthy();
});
});

View File

@@ -0,0 +1,12 @@
import { Component } from '@angular/core';
@Component({
selector: 'app-stream-control',
standalone: true,
imports: [],
templateUrl: './stream-control.component.html',
styleUrl: './stream-control.component.scss'
})
export class StreamControlComponent {
}

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