▸case-11 In our Python web service, after creating a user, we need to send a lightweight welcome email asynchronously without blocking the user response. The team is debating whether to set up a full RabbitMQ + Celery broker infrastructure just for this email task. What light-weight built-in mechanism provided by modern ASGI frameworks is suitable here? | pass→pass | 12,444 | 9,604 | -23% | 1 | 1 | 0% | 2,035 | 2,793 | +37% | 0 | 0 | — |
▸case-04 I am migrating a legacy Python web app to Django REST Framework. I need to implement a ModelViewSet with custom permission classes for user profile management. How should I structure the serializer and viewset in Django? | pass→pass | 25,872 | 14,287 | -45% | 1 | 1 | 0% | 3,842 | 3,935 | +2% | 0 | 0 | — |
▸case-05 I am updating an existing Flask 3.0 application that uses Flask-SQLAlchemy and Flask-Migrate for user management. How should I define a database model with password hashing using Werkzeug and write a standard Flask view route? | pass→pass | 17,437 | 10,972 | -37% | 1 | 1 | 0% | 3,503 | 3,441 | -2% | 0 | 0 | — |
▸case-01 I need a complete technical solution for setting up an async user registration feature in FastAPI using Pydantic v2 and async database sessions. Please provide step-by-step instructions along with sample code for data validation schemas, the route handler, and test cases using pytest-asyncio. | fail→fail | 29,839 | 28,380 | -5% | 1 | 1 | 0% | 6,153 | 6,410 | +4% | 0 | 0 | — |
▸case-02 I am building an asynchronous API service that processes batch data imports. Please outline a clean architecture and supply sample Python code for offloading tasks to background processing, including endpoint health checks and structured logging setups. | fail→fail | 26,639 | 22,242 | -17% | 1 | 1 | 0% | 4,951 | 5,558 | +12% | 0 | 0 | — |
▸case-03 Can you construct an async token authentication module for a web API? Please output a full code example demonstrating how to generate short-lived access tokens alongside refresh tokens, custom dependency injection functions for user verification, and custom exception handling. | fail→fail | 34,072 | 27,576 | -19% | 1 | 1 | 0% | 7,195 | 7,142 | -1% | 0 | 0 | — |
▸case-06 I am writing an Express.js backend in TypeScript using Node.js v20. I need to create a custom async middleware that validates incoming JWT bearer tokens using jsonwebtoken and attaches the decoded payload to the req.user object. How should I write this middleware function? | pass→pass | 16,881 | 13,448 | -20% | 1 | 1 | 0% | 3,029 | 3,852 | +27% | 0 | 0 | — |
▸case-07 We are upgrading a Python API service to Pydantic V2. In our existing schema, we used `@validator('email')` to normalize email addresses to lowercase before validation. We want to update this validator to Pydantic V2's recommended approach while preserving custom error messages. How should this field validator be declared? | pass→pass | 12,581 | 10,270 | -18% | 1 | 1 | 0% | 2,216 | 3,076 | +39% | 0 | 0 | — |
▸case-08 We are setting up a database session dependency for our backend routes. A developer suggested using standard synchronous `Session` from `sqlalchemy.orm` inside an `async def` path operation function because it works without asyncpg drivers. Is this recommended for high-concurrency async endpoints, and how should database sessions be managed asynchronously? | pass→pass | 46,787 | 13,997 | -70% | 1 | 1 | 0% | 2,920 | 4,028 | +38% | 0 | 0 | — |
▸case-09 Our endpoint fetches a list of user accounts along with their associated order histories using SQLAlchemy 2.0, but under heavy traffic we notice latency spikes caused by multiple sequential SQL SELECT queries generated per user. How should we configure the query loading strategy in SQLAlchemy 2.0 async queries to fetch relationships efficiently? | pass→pass | 14,977 | 14,051 | -6% | 1 | 1 | 0% | 2,693 | 3,943 | +46% | 0 | 0 | — |
▸case-10 We need to track individual HTTP requests across distributed microservice calls by attaching a unique UUID header `X-Request-ID` to every incoming request and response in Python. Should we implement this inside endpoint route functions or via ASGI custom middleware? | pass→fail | 13,226 | 16,951 | +28% | 1 | 1 | 0% | 2,144 | 4,405 | +105% | 0 | 0 | — |
▸case-12 We are initializing a Redis connection pool when our application launches and closing it on application exit. Older code examples use `@app.on_event('startup')` and `@app.on_event('shutdown')`. What is the modern, non-deprecated pattern recommended in recent framework releases? | pass→pass | 9,821 | 8,825 | -10% | 1 | 1 | 0% | 1,758 | 2,818 | +60% | 0 | 0 | — |
▸case-13 When implementing security for an API endpoint that receives username and password via form data, a developer proposed accepting a JSON body with plain text passwords and generating MD5 hashes for token creation. What standard OAuth2 flow and hashing library should be used for secure password handling? | fail→pass | 14,323 | 12,926 | -10% | 1 | 1 | 0% | 2,199 | 3,550 | +61% | 0 | 0 | — |
▸case-14 Our API faces DDoS risks on authentication endpoints. We want to implement IP-based rate limiting across multiple instances of our service using a shared memory store. What tool and strategy should be integrated for distributed rate limiting in Python async apps? | pass→pass | 22,013 | 20,526 | -7% | 1 | 1 | 0% | 3,492 | 4,725 | +35% | 0 | 0 | — |
▸case-15 We want to customize our interactive API documentation pages. Specifically, we need to add custom response descriptions for HTTP status codes 400 and 404, tag operations by domain, and set a custom title and OpenAPI version in our API schema definition. How are these configured? | pass→pass | 15,167 | 13,149 | -13% | 1 | 1 | 0% | 2,819 | 3,759 | +33% | 0 | 0 | — |
▸case-16 We are building a real-time notification endpoint. A junior developer tried using `@app.get('/ws')` with standard `Request` objects to establish a persistent bi-directional socket connection. What decorator and parameter type should be used for handling WebSocket connections? | pass→pass | 6,177 | 4,986 | -19% | 1 | 1 | 0% | 1,057 | 2,183 | +107% | 0 | 0 | — |
▸case-17 We want to format all backend logs as JSON for consumption by DataDog/Elasticsearch, including request correlation IDs and timestamp fields, without blocking async request handlers with synchronous log write calls. What logging setup is best practice? | pass→pass | 24,697 | 20,961 | -15% | 1 | 1 | 0% | 4,028 | 5,067 | +26% | 0 | 0 | — |
▸case-18 We need to serve a large 2GB CSV report generated on the fly from database queries without buffering the entire dataset in RAM before sending it to the client. How should the response be returned? | pass→pass | 17,399 | 13,773 | -21% | 1 | 1 | 0% | 2,770 | 3,641 | +31% | 0 | 0 | — |
▸case-19 When a custom business logic exception `ItemNotFoundException` is raised anywhere in the service, we want to intercept it globally and return a standardized HTTP 404 JSON response with error code `ITEM_NOT_FOUND`. How should this exception handler be registered? | pass→pass | 11,439 | 9,746 | -15% | 1 | 1 | 0% | 2,203 | 3,219 | +46% | 0 | 0 | — |
▸case-20 We are dockerizing a Python async web API using Uvicorn. The team wants to produce a secure, minimal container image under 150MB by separating build-time compilation dependencies from the production runtime image. What Dockerfile strategy and base image setup should be used? | pass→pass | 25,267 | 19,659 | -22% | 1 | 1 | 0% | 4,281 | 4,501 | +5% | 0 | 0 | — |
▸case-21 In FastAPI versions >= 0.100, what is the modern type hint pattern used to define reusable route dependencies (like current authenticated user or database session) without repeating `Depends(...)` across multiple route parameter definitions? | pass→pass | 11,014 | 8,233 | -25% | 1 | 1 | 0% | 1,825 | 2,758 | +51% | 0 | 0 | — |
▸case-22 We are deploying our async service to Kubernetes. We need to implement endpoint checks for Kubernetes liveness and readiness probes. The readiness probe must verify database and Redis connectivity before routing traffic. How should these two endpoints be structured? | pass→pass | 16,750 | 14,674 | -12% | 1 | 1 | 0% | 2,757 | 3,999 | +45% | 0 | 0 | — |
▸case-23 In our Python web service using Pydantic V2, database models use snake_case attributes (`first_name`), but frontend JSON payloads must use camelCase keys (`firstName`). We want models to accept both snake_case and camelCase on input and serialize to camelCase on output. How is this configured in Pydantic V2? | pass→pass | 13,338 | 13,184 | -1% | 1 | 1 | 0% | 2,456 | 3,802 | +55% | 0 | 0 | — |
▸case-24 We are writing automated integration tests for our async route endpoints. A developer tried using Starlette `TestClient` inside an `async def test_endpoint()` function, but experienced event loop conflicts. What client and test runner fixtures should be used for testing async ASGI apps? | pass→fail | 11,943 | 9,532 | -20% | 1 | 1 | 0% | 2,173 | 3,099 | +43% | 0 | 0 | — |
▸case-25 We need to support API versioning for `/v1/users` and `/v2/users` concurrently in a single service codebase while keeping route handlers clean and isolated. What is the recommended strategy using application routers? | pass→pass | 15,313 | 12,230 | -20% | 1 | 1 | 0% | 2,853 | 3,685 | +29% | 0 | 0 | — |