Django 3.2: implementing dynamic queryset filtering using Q objects and annotations
I'm not sure how to approach I'm having trouble with This might be a silly question, but I've looked through the documentation and I'm still confused about I've been struggling with this for a few days now and could really use some help... I'm relatively new to this, so bear with me. I'm struggling with dynamically filtering a queryset in Django 3.2 using Q objects and annotations. I have a model `Product` with fields `name`, `category`, and `price`. I want to filter the products based on a combination of their `category` and a price threshold, but it seems like my queryset returns incorrect results. Here's the code I've written so far: ```python from django.db.models import Q, F, FloatField, ExpressionWrapper from myapp.models import Product # Price threshold price_threshold = 50.0 # Dynamic filtering conditions filters = Q() filters |= Q(category='electronics') filters |= Q(category='furniture') # Applying the filters and calculating average price result = Product.objects.filter(filters).annotate( average_price=ExpressionWrapper(F('price'), output_field=FloatField()) ).filter(average_price__gt=price_threshold) ``` However, when I run this code, I get unexpected results where products under the specified categories are still showing up even if their prices are below the threshold. Additionally, I see a warning: `Warning: Using a queryset that has not been evaluated` when I try iterating over `result`. I’ve verified that the products in question do exist in the database, but they shouldn't match the filter criteria. What am I missing here? Is there a better way to structure this query to ensure I only get products that truly meet the price condition? Any insights would be greatly appreciated! My development environment is Ubuntu. Is there a better approach? This is part of a larger web app I'm building. This is part of a larger application I'm building. Any help would be greatly appreciated! I'm working on a web app that needs to handle this. Any help would be greatly appreciated! I'm on Ubuntu 20.04 using the latest version of Python. Could this be a known issue? This is my first time working with Python 3.9. Any feedback is welcome! This issue appeared after updating to Python LTS.