Add the campaign shell, pause-safe checkpoint resume, post-shift campaign continue, confirmed campaign reset, difficulty presets, searchable Help, content-matrix validation, recovery events, contextual dialogue, policy/debrief context and eligible-event previews. Extend persistence with atomic separate files and add campaign/checkpoint/tutorial smokes. Headless 247/247, Python 94/94, tutorial/campaign/session/scenario smokes green.
65 lines
1.8 KiB
GDScript
65 lines
1.8 KiB
GDScript
class_name ReputationEvaluator
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extends RefCounted
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## Evaluates player performance (PLAN.md: Reputation Meter).
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## Scoring weights are data so they can be tuned per venue.
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const EventBus := preload("res://src/core/event_bus.gd")
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## rating: float starting 50 (out of 100). Errors subtract, though marks add.
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var rating: float = 70.0
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var _modifiers: Array[Dictionary] = []
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var event_bus: EventBus = null
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func set_event_bus(bus: EventBus) -> void:
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event_bus = bus
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## Apply a reputation change.
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## category: "peaceful", "force", "false_report", "accuracy", "complaint",
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## "security_failure", "property_damage", "access_judgment", "crowd"
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func apply(_category: String, delta: float, reason: String) -> void:
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# Clamp range: 0..100.
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var clamped := clampf(rating + delta, 0.0, 100.0)
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var applied: float = clamped - rating
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rating = clamped
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_modifiers.append({
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"category": _category,
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"delta": applied,
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"reason": reason,
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"at_ms": Time.get_ticks_msec(),
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})
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if event_bus:
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event_bus.reputation_changed.emit({
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"rating": rating,
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"delta": applied,
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"reason": reason,
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"category": _category,
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})
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static func grade_for(rating_value: float) -> String:
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if rating_value >= 90.0:
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return "A"
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if rating_value >= 75.0:
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return "B"
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if rating_value >= 60.0:
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return "C"
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if rating_value >= 40.0:
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return "D"
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return "F"
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func summary() -> Dictionary:
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return {
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"rating": rating,
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"grade": grade_for(rating),
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"modifiers": _modifiers.duplicate(true),
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}
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func snapshot() -> Dictionary:
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return {"rating": rating, "modifiers": _modifiers.duplicate(true)}
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func restore(data: Dictionary) -> void:
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rating = clampf(float(data.get("rating", 70.0)), 0.0, 100.0)
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_modifiers.clear()
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for modifier in data.get("modifiers", []):
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if modifier is Dictionary:
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_modifiers.append((modifier as Dictionary).duplicate(true))
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