def test_enqueue_insight_embedding_builds_queue_payload(monkeypatch):
    import services.openclaw_learning_service as learning

    calls = []
    monkeypatch.setattr(
        learning,
        "_enqueue_embedding",
        lambda table, target_id, text: calls.append((table, target_id, text)) or True,
    )

    assert learning.enqueue_insight_embedding(42, "agent_action", "hello", "2026-04-29") is True
    assert calls == [("ai_insights", 42, "agent_action (2026-04-29): hello")]


def test_enqueue_insight_embedding_rejects_missing_content(monkeypatch):
    import services.openclaw_learning_service as learning

    monkeypatch.setattr(
        learning,
        "_enqueue_embedding",
        lambda *args, **kwargs: (_ for _ in ()).throw(AssertionError("should not enqueue")),
    )

    assert learning.enqueue_insight_embedding(42, "agent_action", "") is False
    assert learning.enqueue_insight_embedding(None, "agent_action", "hello") is False