truetype
bd211b6036
- Phase 4 (Decision Engine): ActionQueue with 7 priority tiers, 4 behavior states (Idle/Explore/Combat/Loot), CombatAI with skill rotation and flee logic, GoalManager with survival override, DecisionEngine state machine integrated into the main game loop - Phase 3 (Automapper): Complete hybrid SQLite/Memvid architecture with WorldMapper orchestrator, room fingerprinting (SHA-256), bidirectional exit linking, exploration queue, A* pathfinding, HistoricalStorage with JSON fallback, SemanticSearch with keyword fallback, SyncManager with configurable triggers - Character Creator: State machine for automated character creation with stat rolling/optimization per class weights, race/class/gender selection, reroll logic with configurable thresholds - Quest System: Quest lifecycle tracking (discover->accept->complete), NLP-based objective extraction (kill/fetch/talk/explore), EXP/time prioritization, pending kill target tracking - Progression Optimizer: Grinding spot finder (EXP/hour), equipment comparison by weighted stats, skill rotation optimizer (DPS vs mana efficiency), session summary statistics - LLM Integration (hybrid): Async Ollama client with retry/backoff, LLMBrain coordinator for quest parsing, social AI, decision advice, and ambiguous text parsing fallback. SocialAI for detecting and responding to player messages (say/tell/shout/group/trade). Graceful degradation when Ollama is unavailable. All 214 tests passing.
117 lines
4.2 KiB
Python
117 lines
4.2 KiB
Python
"""Tests for the ProgressionOptimizer module."""
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import pytest
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from modules.progression.optimizer import (
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ProgressionOptimizer, GrindingSpot, EquipmentPiece, SkillInfo,
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)
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class TestGrindingSpot:
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def test_exp_per_hour(self):
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spot = GrindingSpot(room_id=1, room_title="Forest", kills=10,
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total_exp=1000, total_time_seconds=3600)
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assert spot.exp_per_hour == 1000.0
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def test_survival_rate(self):
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spot = GrindingSpot(room_id=1, room_title="Dungeon",
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kills=8, deaths=2)
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assert spot.survival_rate == 0.8
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def test_zero_time(self):
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spot = GrindingSpot(room_id=1, room_title="Room")
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assert spot.exp_per_hour == 0.0
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assert spot.kills_per_hour == 0.0
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class TestEquipmentPiece:
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def test_weighted_score(self):
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eq = EquipmentPiece(name="Iron Sword", slot="weapon",
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stat_bonuses={"str": 5, "dex": 2})
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score = eq.weighted_score({"str": 2.0, "dex": 1.0})
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assert score == 12.0
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def test_default_weights(self):
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eq = EquipmentPiece(name="Shield", slot="armor",
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stat_bonuses={"con": 3})
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score = eq.weighted_score()
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assert score == 3.0
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class TestSkillInfo:
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def test_damage_per_mana(self):
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skill = SkillInfo(name="Fireball", command="cast fireball",
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damage=100, mana_cost=20)
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assert skill.damage_per_mana == 5.0
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def test_dps(self):
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skill = SkillInfo(name="Slash", command="slash",
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damage=50, cooldown_seconds=2.0)
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assert skill.dps == 25.0
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def test_zero_mana_cost(self):
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skill = SkillInfo(name="Punch", command="punch",
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damage=10, mana_cost=0)
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assert skill.damage_per_mana == float("inf")
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class TestProgressionOptimizer:
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def test_record_kill(self):
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opt = ProgressionOptimizer()
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opt.record_kill(1, "Forest", exp_gained=50)
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opt.record_kill(1, "Forest", exp_gained=50)
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spots = opt.get_best_grinding_spots()
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# Need at least 3 kills for statistical relevance
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assert len(spots) == 0
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opt.record_kill(1, "Forest", exp_gained=50)
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spots = opt.get_best_grinding_spots()
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assert len(spots) == 1
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assert spots[0].kills == 3
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assert spots[0].total_exp == 150
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def test_record_death(self):
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opt = ProgressionOptimizer()
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opt.record_death(1, "Dungeon")
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opt.record_kill(1, "Dungeon", 100)
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# Spot exists but deaths affect survival rate
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# (< 3 kills so won't appear in best spots)
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assert 1 in opt._spots
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assert opt._spots[1].deaths == 1
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def test_add_and_compare_equipment(self):
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opt = ProgressionOptimizer()
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opt.add_equipment(EquipmentPiece(
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name="Iron Sword", slot="weapon",
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stat_bonuses={"str": 5}))
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opt.add_equipment(EquipmentPiece(
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name="Steel Sword", slot="weapon",
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stat_bonuses={"str": 8}))
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best = opt.get_best_equipment("weapon")
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assert best is not None
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assert best.name == "Steel Sword"
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def test_optimal_rotation(self):
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opt = ProgressionOptimizer()
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opt.add_skill(SkillInfo("Slash", "slash", damage=30, mana_cost=10, cooldown_seconds=1))
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opt.add_skill(SkillInfo("Fireball", "fireball", damage=100, mana_cost=50, cooldown_seconds=3))
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rotation = opt.get_optimal_rotation(available_mana=40)
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# Only Slash fits within 40 mana
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assert len(rotation) == 1
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assert rotation[0].name == "Slash"
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def test_efficient_rotation(self):
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opt = ProgressionOptimizer()
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opt.add_skill(SkillInfo("Slash", "slash", damage=30, mana_cost=10))
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opt.add_skill(SkillInfo("Fireball", "fireball", damage=100, mana_cost=50))
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efficient = opt.get_efficient_rotation()
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# Slash = 3.0 dmg/mana, Fireball = 2.0 dmg/mana
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assert efficient[0].name == "Slash"
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def test_session_summary(self):
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opt = ProgressionOptimizer()
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summary = opt.session_summary()
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assert "total_kills" in summary
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assert "total_exp" in summary
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assert summary["total_kills"] == 0
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