Function simulate_daily_feedback

experiments/simulation/simulate_feedback.py:61–112

Simulate feedback for multiple days Args: user_id: User identifier days: Number of days to simulate

(user_id: str, days: int = 7)

def simulate_daily_feedback(user_id: str, days: int = 7):
    """
    Simulate feedback for multiple days

    Args:
        user_id: User identifier
        days: Number of days to simulate
    """
    feedback_logs = []
    base_date = datetime.now() - timedelta(days=days)

    for day in range(days):
        current_date = base_date + timedelta(days=day)
        push_id = f"push_{current_date.strftime('%Y%m%d')}"

        # Simulate selection behavior
        # User tends to select 🔴 papers more often
        selected = []
        skipped = []

        for paper in SAMPLE_PAPERS:
            if paper["category"] == "🔴":
                # 80% chance to select 🔴 papers
                if random.random() < 0.8:
                    selected.append(paper["id"])
                else:
                    skipped.append(paper["id"])
            elif paper["category"] == "🟡":
                # 40% chance to select 🟡 papers
                if random.random() < 0.4:
                    selected.append(paper["id"])
                else:
                    skipped.append(paper["id"])
            else:  # 🔵
                # 10% chance to select 🔵 papers
                if random.random() < 0.1:
                    selected.append(paper["id"])
                else:
                    skipped.append(paper["id"])

        # Create feedback log entry
        feedback_log = {
            "user_id": user_id,
            "date": current_date.isoformat(),
            "push_id": push_id,
            "selected": selected,
            "skipped": skipped,
            "selection_rate": len(selected) / len(SAMPLE_PAPERS),
        }
        feedback_logs.append(feedback_log)

    return feedback_logs


def save_feedback_logs(logs: list, output_path: str):