temporal

module wittgenstein_lead_scorer.signals.temporal

Classes

• TemporalScorer — Applies time-based decays or boosts to lead scores based on inactivity.

wittgenstein_lead_scorer.signals.temporal.TemporalScorer

class TemporalScorer(half_life_days: int = 14)

Applies time-based decays or boosts to lead scores based on inactivity.

Methods

• calculate_decay_multiplier — Calculate score decay multiplier using exponential decay formula.

• evaluate_inactivity — Produce a temporal scoring signal from the exponential decay multiplier.

wittgenstein_lead_scorer.signals.temporal.TemporalScorer.calculate_decay_multiplier

method TemporalScorer.calculate_decay_multiplier(last_activity_date: datetime) → float

Calculate score decay multiplier using exponential decay formula.

wittgenstein_lead_scorer.signals.temporal.TemporalScorer.evaluate_inactivity

method TemporalScorer.evaluate_inactivity(last_activity_date: datetime) → List[ScoringSignal]

Produce a temporal scoring signal from the exponential decay multiplier.

The multiplier (1.0 = just active, ->0.0 = long inactive) is linearly mapped onto the [MAX_STALENESS_PENALTY, MAX_FRESHNESS_BONUS] range, so the score responds smoothly to inactivity instead of jumping between discrete bands.