Restock Before the Shelf Is Empty.

Today’s challenge

Build the solution

Write a function called restock(items) that decides which products need an order.

Return contract: A list of dictionaries containing sku and order_quantity, omitting products that need no order. The supplied driver wraps this list as orders and adds input_unchanged to verify that the original items are preserved.

Input bounds: 0–200 items; unique string SKUs; 0 ≤ quantity, minimum ≤ target ≤ 10,000.

Keep the supplied driver below your implementation. It reads one JSON object and prints your return value as JSON. The driver may also probe the behaviour described above; those probe fields are part of the test input.

An item needs replenishment only when quantity is strictly below minimum.
For a qualifying item, order target minus quantity units. Targets are always at least the minimum.
Keep qualifying items in their original order. Do not change the input items.

The Twist: A shelf exactly at its minimum is acceptable today. Ordering it early changes the shop’s purchasing decision.

Sample

Input

{"items":[{"minimum":5,"quantity":3,"sku":"tea","target":12},{"minimum":5,"quantity":5,"sku":"rice","target":20}]}

Expected output

{"input_unchanged":true,"orders":[{"order_quantity":9,"sku":"tea"}]}

day-2.py

Python 3

def restock(items):
    # Implement the challenge here. Keep the input/output driver below.
    raise NotImplementedError("Implement this challenge")


if __name__ == "__main__":
    import json
    raw_input = input()
    payload = json.loads(raw_input)
    original_payload = json.loads(raw_input)
    arguments = {key: payload[key] for key in ['items'] if key in payload}
    result = restock(**arguments)
    result = {'orders': result, 'input_unchanged': payload['items'] == original_payload['items']}
    print(json.dumps(result, sort_keys=True, separators=(",", ":"), allow_nan=False))

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Output

Run your code to see the result here.