Django CapCut Resource Site Optimization

Let me address each of your issues with specific solutions:

1. File Upload Issues

The Request Data Too Large error might be occurring due to server-level limitations, not just Django settings:

PYTHONCopied
# Django settings.py
DATA_UPLOAD_MAX_MEMORY_SIZE = 262144000  # 250MB
FILE_UPLOAD_MAX_MEMORY_SIZE = 262144000  # 250MB

Additional steps to take:

• Configure Nginx client_max_body_size:

NGINXCopied
# In your nginx.conf or site config
client_max_body_size 250M;

• Consider implementing chunked uploads for large files using a library like django-chunked-upload
• Use direct-to-S3 uploads for very large files with pre-signed URLs

2. Asynchronous API Calls

For a simpler approach than Channels:

1. Use Celery for background tasks:

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# tasks.py
from celery import shared_task

@shared_task
def fetch_capcut_data(project_id):
    # API call logic here
    return result

# views.py
def project_view(request, project_id):
    # Start the task
    task = fetch_capcut_data.delay(project_id)
    return JsonResponse({"task_id": task.id})

2. For AJAX polling:

JAVASCRIPTCopied
function checkTaskStatus(taskId) {
    $.ajax({
        url: `/tasks/${taskId}/status/`,
        success: function(data) {
            if (data.status === 'COMPLETE') {
                updateUI(data.result);
            } else {
                setTimeout(() => checkTaskStatus(taskId), 1000);
            }
        }
    });
}

3. CSRF Token Validation Failures

Ensure proper CSRF handling:

JAVASCRIPTCopied
// AJAX setup
$.ajaxSetup({
    headers: {
        'X-CSRFToken': document.querySelector('[name=csrfmiddlewaretoken]').value
    },
    xhrFields: {
        withCredentials: true
    }
});

Also check:

• Ensure cookies are being properly set (check SameSite and Secure attributes)
• Verify the CSRF token is refreshed after session timeouts
• Add CSRF_TRUSTED_ORIGINS in settings.py if using subdomains

4. Database Optimization

Beyond indexing:

1. Implement query optimization:

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# Use select_related/prefetch_related for related objects
templates = Template.objects.select_related('category').prefetch_related('tags')

# Use database-level filtering
templates = Template.objects.filter(category_id=category_id)  # Better than filtering in Python

2. Implement materialized views for complex queries:

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CREATE MATERIALIZED VIEW popular_templates AS
SELECT id, name, downloads, category_id
FROM capcut_template
ORDER BY downloads DESC;

3. Consider database-level caching:

PYTHONCopied
# settings.py
CACHES = {
    'default': {
        'BACKEND': 'django_redis.cache.RedisCache',
        'LOCATION': 'redis://127.0.0.1:6379/1',
        'OPTIONS': {
            'CLIENT_CLASS': 'django_redis.client.DefaultClient',
        }
    }
}

# views.py
from django.views.decorators.cache import cache_page

@cache_page(60 * 15)  # Cache for 15 minutes
def popular_templates(request):
    # Your view logic

4. Implement query result pagination to limit result sets

These solutions should address your specific issues while maintaining Django's simplicity and leveraging your existing infrastructure.