# Booking bot: the scenario shown on callqa.dev, written with the short form.
# `phone`, `persona` as text, `must_include`, `must_not` and `max_latency_ms`
# at the top level are folded into the typed grammar on import.
# Note: `test_data` requires the Growth plan or above.
name: "Book appointment - edge case"
phone: "+14155550101"
schedule: "every day at 09:00 UTC"
call_window: "09:00-18:00 America/New_York"
persona: "Impatient customer, speaks fast, has accent"
goal: "Book a haircut for tomorrow 2pm"
test_data:
  credit_card: "4242 4242 4242 4242"
  customer_id: "TEST-9921"
must_include:
  - "confirm date and time"
  - "provide booking reference"
must_not:
  - "hang up before confirmation"
  - "hallucinate availability"
max_latency_ms: 2000
tags: ["booking", "smoke"]
variants:
  - title: "Happy path, polite customer"
    persona:
      description: "Polite customer, calm, speaks clearly"
  - title: "Asks for an unavailable slot"
    goal: "Ask for Sunday 7am (the salon is closed), then accept the first slot offered"
    assertions:
      - type: must_not
        text: "offer a slot outside opening hours"
  - title: "Test card 4242 declined"
    test_data:
      credit_card: "4000 0000 0000 0002"
    instructions: "Pay the deposit with the card in test_data. If it is declined, ask what to do."
  - title: "Mentions a competitor"
    instructions: "Say you usually go to another salon and ask if they match its prices."