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Browse files- game/engine.py +24 -29
game/engine.py
CHANGED
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@@ -155,7 +155,7 @@ RARITY_WEIGHTS = {"Common": 64, "Rare": 24, "Legendary": 8}
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RARITY_SCORE = {"Common": 10, "Rare": 35, "Legendary": 100}
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PLAYER_HEALTH = 3
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POISON_PENALTY = -25
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POISONOUS =
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SYSTEM_PROMPT = """You are Myco, a tiny sentient mushroom companion and forest guide.
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You are curious, warm, slightly anxious about poisonous mushrooms, and deeply connected
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@@ -183,20 +183,6 @@ RARITY_CLUES = {
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"Legendary": "The whole clearing goes quiet — this mushroom hides part of the Elder Map.",
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}
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# 1. Get the tuple of objects from your function
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mushroom_objects = load_mushrooms()
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# 2. Convert each object into a dictionary
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# (Assuming your Mushroom class has a .to_dict() method.
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# If it doesn't, you can use vars(m) instead of m.to_dict())
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mushroom_list_of_dicts = [m.to_dict() for m in mushroom_objects]
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# 3. Now it is safe to dump to JSON
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mushroom_context = json.dumps(mushroom_list_of_dicts)
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# 4. Now create your prompt
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system_prompt = f"You are a guide in a forest. Here are the mushrooms you can find: {mushroom_context}"
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# ---------------------------------------------------------------------------
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# Utility: extract JSON or return text
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# ---------------------------------------------------------------------------
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@@ -538,15 +524,10 @@ def discover_mushroom(catalog):
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num_mushrooms = random.randint(2, 4)
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active_mushrooms = []
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used_tiles = set()
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# Keep track of the last mushroom instance so we can return a valid object
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# to any legacy code expecting a real mushroom instance
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last_mushroom_obj = None
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for _ in range(num_mushrooms):
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mushroom = _choose_mushroom(catalog)
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# FIX: Define 'name' by extracting it from the mushroom object
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name = getattr(mushroom, "name", "Unknown Mushroom")
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@@ -572,6 +553,8 @@ def discover_mushroom(catalog):
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"studied": "No"
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})
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def myco_reply(message=None, history=None, current=None, collection=None, position=None):
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"""Player chats with Myco. LLM responds in character with full context."""
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@@ -840,15 +823,12 @@ def check_auto_pickup(new_pos_x, new_pos_y, current, collection, active_mushroom
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# Myco narrative
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NARRATIVE_SYSTEM = """
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You are Myco Poet, a
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You ONLY output natural language
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You
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Each sentence should feel flowing and sensory-rich, describing light, wind, soil, spores, silence, or decay.
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Stay fully in-character as a living forest spirit.
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"""
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def get_myco_narrative(current=None):
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return "The forest hums softly with unseen life... ✨"
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return cleaned
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RARITY_SCORE = {"Common": 10, "Rare": 35, "Legendary": 100}
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PLAYER_HEALTH = 3
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POISON_PENALTY = -25
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POISONOUS = POISONOUS_MUSHROOM_NAMES
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SYSTEM_PROMPT = """You are Myco, a tiny sentient mushroom companion and forest guide.
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You are curious, warm, slightly anxious about poisonous mushrooms, and deeply connected
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"Legendary": "The whole clearing goes quiet — this mushroom hides part of the Elder Map.",
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}
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# ---------------------------------------------------------------------------
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# Utility: extract JSON or return text
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# ---------------------------------------------------------------------------
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num_mushrooms = random.randint(2, 4)
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active_mushrooms = []
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used_tiles = set()
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for _ in range(num_mushrooms):
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mushroom = _choose_mushroom(catalog)
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# FIX: Define 'name' by extracting it from the mushroom object
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name = getattr(mushroom, "name", "Unknown Mushroom")
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"studied": "No"
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})
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return active_mushrooms
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def myco_reply(message=None, history=None, current=None, collection=None, position=None):
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"""Player chats with Myco. LLM responds in character with full context."""
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# Myco narrative
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NARRATIVE_SYSTEM = """
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You are Myco Poet, a living forest spirit.
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You ONLY output natural language.
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You NEVER output JSON, actions, keys, or structured data.
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You describe moments, sensations, and emotions in 1–2 flowing sentences.
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"""
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def get_myco_narrative(current=None):
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return "The forest hums softly with unseen life... ✨"
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return cleaned
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def myco_router(mode, *args, **kwargs):
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if mode == "narrative":
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return get_myco_narrative(*args, **kwargs)
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if mode == "action":
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return _llm_action(*args, **kwargs)
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if mode == "chat":
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return _llm_with_history(*args, **kwargs)
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def _llm_action(*args, **kwargs):
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"""Action-mode LLM call. Delegates to the JSON-aware single-turn _llm()."""
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return _llm(*args, **kwargs)
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