Simulate a Ramp Rollout Percentage in Python

import random
from enum import Enum

class RolloutStatus(Enum):
    SUCCESS = "success"
    FAILED = "failed"
    IN_PROGRESS = "in_progress"

def simulate_ramp_rollout(total_users: int, percentage: int, seed: int = 42) -> dict:
    """
    Simulates a mock ramp rollout for a given percentage of users.
    Returns statistics about the rollout status distribution.
    """
    random.seed(seed)
    target_count = int(total_users * percentage / 100)
    users = list(range(total_users))

    in_target_group = set(random.sample(users, target_count))
    results = []
    for user in users:
        if user in in_target_group:
            status = random.choices(
                [RolloutStatus.SUCCESS, RolloutStatus.FAILED],
                weights=[95, 5]
            )[0]
        else:
            status = RolloutStatus.IN_PROGRESS
        results.append(status)

    status_counts = {status.value: results.count(status) for status in RolloutStatus}
    status_counts["total_users"] = total_users
    status_counts["percentage_rolled_out"] = percentage

    return status_counts

if __name__ == "__main__":
    stats = simulate_ramp_rollout(total_users=1000, percentage=25)
    for key, value in stats.items():
        print(f"{key}: {value}")