Calculate a Basket Total from Delimited Product Records

Problem Statement

In an e-commerce checkout pipeline, cart line items are transmitted as a list of pipe-delimited (|) strings. Each string represents an item record containing four fields:

"sku|product_name|quantity|unit_price_cents"

Your task is to parse these records and calculate the total cost of the basket in integer cents.

Keep the following rules in mind:

• A SKU can appear multiple times in the list (e.g., when a customer adds items at different times or from different aisles). Every appearance represents an additional quantity of that item and must be included in the total.
• An item with a quantity of 0 contributes 0 cents to the total cost.
• Prices are given in integer cents to ensure exact arithmetic and avoid floating-point inaccuracies.
• If a record has leading or trailing whitespace around fields, it should be trimmed before parsing.

Write a function calculate_basket_total(records: list[str]) -> int that returns the total basket cost in integer cents.

Interface

def calculate_basket_total(records: list[str]) -> int:
    pass

Examples

Example 1

records = [
    "SKU-101|Organic Whole Milk|2|399",
    "SKU-205|Avocado|4|150",
    "SKU-101|Organic Whole Milk|1|399"
]

# Output: 1797

Explanation:

• SKU-101 first entry: 2 * 399 = 798 cents
• SKU-205: 4 * 150 = 600 cents
• SKU-101 second entry: 1 * 399 = 399 cents
• Total: 798 + 600 + 399 = 1797 cents ($17.97)

Example 2

records = [
    "SKU-300|Reusable Grocery Bag|0|100",
    "SKU-404|Sparkling Water 12pk|3|549",
    "SKU-505|Bananas|0|49"
]

# Output: 1647

Explanation:

• Items with quantity 0 contribute 0 cents.
• Only SKU-404 contributes: 3 * 549 = 1647 cents.

Constraints

• 0 <= len(records) <= 10^5
• Each element in records contains exactly three '|' delimiters separating four non-empty tokens.
• 0 <= quantity <= 10^4
• 0 <= unit_price_cents <= 10^6
• Total basket cost fits within a standard 64-bit signed integer.

Edge Cases

• Empty input: records = [] should return 0.
• All zero quantities: Every record has quantity = 0, returning 0.
• Duplicate SKUs: Repeated entries for the same SKU should both be added to the total; do not accidentally overwrite earlier records if storing in a map.