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55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
"""Proofreading must return a dict when the model emits a JSON array or junk."""
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from agents import _loads_lenient, _report_issues, proofreading_agent
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def test_loads_lenient_empty_and_junk_return_none():
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assert _loads_lenient("") is None
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assert _loads_lenient("not json") is None
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assert _loads_lenient('{"a": 1}') == {"a": 1}
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def test_report_issues_non_dict():
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assert _report_issues([]) == []
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assert _report_issues(None) == []
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def test_proofreading_agent_json_array_returns_empty_dict(monkeypatch):
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calls = []
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def fake_llm_chat(client, tracker, agent, messages, json_mode=False, note=""):
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calls.append(note)
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return "[]"
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monkeypatch.setattr("agents.llm_chat", fake_llm_chat)
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report = proofreading_agent(
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client=object(),
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tracker=type("T", (), {"record": lambda *a, **k: None})(),
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translations={"ch1": "hello"},
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glossary=[],
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)
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assert report == {}
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assert _report_issues(report) == []
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assert report.get("chapters_need_revision", []) == []
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assert calls == ["一致性审校"]
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def test_proofreading_agent_valid_object(monkeypatch):
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payload = {
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"issues": [{"chapter": "ch1", "detail": "x"}],
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"chapters_need_revision": ["ch1"],
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"summary": "ok",
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}
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def fake_llm_chat(client, tracker, agent, messages, json_mode=False, note=""):
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import json
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return json.dumps(payload)
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monkeypatch.setattr("agents.llm_chat", fake_llm_chat)
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report = proofreading_agent(
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client=object(),
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tracker=type("T", (), {"record": lambda *a, **k: None})(),
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translations={"ch1": "hello"},
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glossary=[],
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)
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assert report == payload
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