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Design a small subsystem that relies on dataclasses and __slots__
Design a small subsystem that relies on dataclasses and __slots__
Answers use simple, clear English.
Audio N/AQuick interview answer
Sketch components, data flow, failure modes, and metrics around dataclasses and __slots__. Example shape: DTO layer: @dataclass(slots=True) OrderItem(sku: str, qty: int, price: Decimal).
Detailed answer
Mini design using dataclasses and __slots__: • Components: API edge, worker/queue, store, and observability. • Data flow: request → dataclasses and __slots__-related path → response/async side effects. • Failure modes: timeouts, overload, partial dependency loss. • Metrics: latency, errors, saturation for the dataclasses and __slots__ path. Guardrails: Use field(default_factory=list); kw_only=True for clarity in large models. Parent context: Use dataclasses and __slots__ as the core idea. Example shape: DTO layer: @dataclass(slots=True) OrderItem(sku: str, qty: int, price: Decimal)..
Full explanation
Interviewers want a crisp architecture story anchored on dataclasses and __slots__, not a buzzword list. @dataclass auto-generates __init__, __repr__, __eq__. slots=True (Py3.10+) fixes attributes and saves memory. frozen=True makes instances hashable if all fields hashable.
Follow-up questions
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Parent context — dataclasses and __slots__
Use dataclasses and __slots__ as the core idea. Example shape: DTO layer: @dataclass(slots=True) OrderItem(sku: str, qty: int, price: Decimal)..
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