"""
FrequencyTracker

Tracks how often a memory is recalled and calculates frequency/recency scores.
"""

from datetime import UTC, datetime
from typing import TYPE_CHECKING

if TYPE_CHECKING:
    from app.models.memory import UserMemory


class FrequencyTracker:
    """Track and score memory recall frequency"""

    # Score weights
    MAX_FREQUENCY = 10  # Cap frequency count for scoring
    RECENCY_DECAY_DAYS = 30  # After 30 days, recency score drops significantly

    def increment(self, memory: "UserMemory") -> "UserMemory":
        """Increment recall count and update last recalled timestamp"""
        memory.frequency_count = (memory.frequency_count or 0) + 1
        memory.last_recalled_at = datetime.now(UTC)
        return memory

    def get_frequency_score(self, memory: "UserMemory") -> float:
        """Calculate normalized frequency score (0.0 - 1.0)

        Uses logarithmic scaling to prevent high-frequency memories
        from dominating completely.
        """
        count = memory.frequency_count or 0
        if count == 0:
            return 0.0
        # Logarithmic scaling: more recalls have diminishing returns
        # log(1+x) / log(1+MAX) gives 0-1 range
        import math

        score = math.log(1 + count) / math.log(1 + self.MAX_FREQUENCY)
        return min(1.0, max(0.0, score))

    def get_recency_score(self, memory: "UserMemory") -> float:
        """Calculate recency score (0.0 - 1.0)

        Memory recalled recently scores higher. Uses exponential decay.
        """
        last_recalled = memory.last_recalled_at
        if last_recalled is None:
            return 0.0

        now = datetime.now(UTC)
        if isinstance(last_recalled, datetime):
            if last_recalled.tzinfo is None:
                last_recalled = last_recalled.replace(tzinfo=UTC)
            days_since = (now - last_recalled).total_seconds() / 86400
        else:
            days_since = self.RECENCY_DECAY_DAYS

        # Exponential decay: half-life of RECENCY_DECAY_DAYS
        import math

        decay = math.exp(-days_since / self.RECENCY_DECAY_DAYS)
        return min(1.0, max(0.0, decay))

    def get_time_decay(self, memory: "UserMemory") -> float:
        """Calculate time-based decay factor for forgetting curve"""
        last_accessed = getattr(memory, "last_accessed_at", None)
        if last_accessed is None:
            last_accessed = memory.last_recalled_at
        if last_accessed is None:
            return 1.0

        now = datetime.now(UTC)
        if isinstance(last_accessed, datetime):
            if last_accessed.tzinfo is None:
                last_accessed = last_accessed.replace(tzinfo=UTC)
            days_since = (now - last_accessed).total_seconds() / 86400
        else:
            days_since = 0

        import math

        return math.exp(-days_since / self.RECENCY_DECAY_DAYS)