f07afac38b
The multi-credential branch passed only through MagicMock truthiness once the gate moved from len(entries) > 1 to pool.has_available(model=); set the return value explicitly and cover the every-entry-benched case.
94 lines
4.5 KiB
Python
94 lines
4.5 KiB
Python
"""#106475: with a single credential, a Codex ChatGPT-account entitlement 400 must fail closed —
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the rejected slug is skipped by the fallback walk and restore_primary_runtime must not switch back
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and announce an unverified "Primary model restored" that would oscillate forever.
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"""
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from types import SimpleNamespace
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from unittest.mock import MagicMock, patch
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from agent.fallback_cooldown import _mark_entitlement_rejected_model
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from run_agent import AIAgent
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# Assembled at runtime so no credential-shaped literal sits in source (scanner guard).
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_TEST_KEY = "test-" + "key-12345678"
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def _make_agent(fallback_model=None):
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with (
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patch("model_tools.get_tool_definitions", return_value=[]),
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patch("model_tools.check_toolset_requirements", return_value={}),
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patch("agent.process_bootstrap.OpenAI"),
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patch("agent.context_compressor.get_model_context_length", return_value=200_000),
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patch("agent.anthropic_adapter.build_anthropic_client", return_value=MagicMock()),
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):
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agent = AIAgent(
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api_key=_TEST_KEY, base_url="https://my-llm.example.com/v1", provider="custom",
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quiet_mode=True, skip_context_files=True, skip_memory=True, fallback_model=fallback_model,
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)
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agent.client = MagicMock()
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return agent
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def _entitlement_error(model: str) -> SimpleNamespace:
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return SimpleNamespace(
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status_code=400,
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message=f"The '{model}' model is not supported when using Codex with a ChatGPT account.",
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)
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def test_marker_fires_only_on_single_credential_entitlement_400_and_fallback_walk_skips_it():
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agent = _make_agent(fallback_model={"provider": "openai-codex", "model": "openai/gpt-5.6-sol"})
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agent.provider, agent.model = "openai-codex", "gpt-5.6-sol"
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for err in (
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SimpleNamespace(status_code=500, message="server error"),
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SimpleNamespace(status_code=429, message="rate limited"),
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SimpleNamespace(status_code=400, message="invalid request body"),
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SimpleNamespace(status_code=403, message="model is not supported when using Codex with a ChatGPT account."),
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):
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assert _mark_entitlement_rejected_model(agent, err) is False
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# Pool still has an entry eligible for this model: rotation owns it, no session marker (#71970).
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pool = MagicMock()
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pool.has_available.return_value = True
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agent._credential_pool = pool
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assert _mark_entitlement_rejected_model(agent, _entitlement_error("gpt-5.6-sol")) is False
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pool.has_available.assert_called_once_with(model="gpt-5.6-sol")
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assert getattr(agent, "_entitlement_rejected_models", None) is None
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# Every pool entry is benched for the model: the fail-closed marker fires even with a pool.
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pool.has_available.return_value = False
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assert _mark_entitlement_rejected_model(agent, _entitlement_error("gpt-5.6-sol")) is True
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agent._credential_pool = None
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assert _mark_entitlement_rejected_model(agent, _entitlement_error("gpt-5.6-sol")) is True
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assert agent._entitlement_rejected_models == {("openai-codex", "gpt-5.6-sol")}
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# The fallback entry names the same slug in vendor-prefixed form: skipped, chain exhausts.
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with patch("agent.auxiliary_client.resolve_provider_client") as resolve:
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assert agent._try_activate_fallback() is False
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resolve.assert_not_called()
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def test_restore_primary_runtime_is_gated_on_rejected_primary_slug():
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fb_client = MagicMock()
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fb_client.api_key, fb_client.base_url = "fallback-" + "key-1234", "https://fallback.example.com/v1"
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def _run(rejected_slug):
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agent = _make_agent(fallback_model={"provider": "zai", "model": "glm-5.2"})
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agent._primary_runtime["model"], agent._primary_runtime["provider"] = "gpt-5.6-sol", "openai-codex"
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agent._entitlement_rejected_models = {("openai-codex", rejected_slug)}
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with patch("agent.auxiliary_client.resolve_provider_client", return_value=(fb_client, None)):
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assert agent._try_activate_fallback() is True
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emitted = []
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agent._emit_status = emitted.append
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with patch("agent.process_bootstrap.OpenAI", return_value=MagicMock()):
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restored = agent._restore_primary_runtime()
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return agent, restored, emitted
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agent, restored, emitted = _run("gpt-5.6-sol")
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assert restored is False
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assert (agent.provider, agent.model, agent._fallback_activated) == ("zai", "glm-5.2", True)
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assert not any("Primary model restored" in n for n in emitted)
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_, restored, emitted = _run("some-other-slug")
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assert restored is True
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assert any("Primary model restored" in n for n in emitted)
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