42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
import json
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import app.content as content
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def test_load_npc_returns_parsed_file(tmp_path, monkeypatch):
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root = tmp_path / "content"
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(root / "world" / "npcs").mkdir(parents=True)
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(root / "world" / "npcs" / "fenn.json").write_text(
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json.dumps({"id": "fenn", "name": "Fenn", "persona": "clerk",
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"knowledge": ["a"], "capabilities": {}})
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)
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monkeypatch.setenv("CONTENT_ROOT", str(root))
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npc = content.load_npc("fenn")
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assert npc["name"] == "Fenn"
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assert npc["knowledge"] == ["a"]
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def test_load_npc_unknown_returns_none(tmp_path, monkeypatch):
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(tmp_path / "content" / "world").mkdir(parents=True)
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monkeypatch.setenv("CONTENT_ROOT", str(tmp_path / "content"))
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assert content.load_npc("nobody") is None
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def test_content_root_env_override(tmp_path, monkeypatch):
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monkeypatch.setenv("CONTENT_ROOT", str(tmp_path))
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assert content._content_root() == tmp_path
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def test_fenn_resolves_from_repo_content():
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# No CONTENT_ROOT env — exercises the walk-up resolver against real content.
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npc = content.load_npc("fenn")
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assert npc is not None
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assert npc["capabilities"]["offerable_quests"] == ["find_the_ledger"]
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assert npc["knowledge"] # non-empty authored knowledge list
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def test_npc_prompt_body_is_authored():
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from app import prompts
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body = prompts.system_prompt("npc")
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assert "MOVE" in body and len(body) > 200
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