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39975613b1
Second, deeper pass over tools/gateway/hermes_cli plus first pass over the trees wave 1 missed (acp, acp_adapter, skills, computer_use, docker, dashboard, conformance, monitoring, secret_sources, hermes_state, providers). Same rubric as wave 1 (AGENTS.md test policy); security, alternation/caching invariants, issue-number regressions, and E2E kept. Real test-quality fixes found and rooted out along the way: - tests/tools/test_command_guards.py made real auxiliary-LLM HTTPS calls (DEFAULT_CONFIG smart-approval leaked in) — pinned approval mode=manual via autouse fixture: 17.4s → 0.4s. - test_model_switch_custom_providers.py / test_user_providers_model_switch.py silently probed live provider catalogs (~2s/test) — stubbed cached_provider_model_ids/provider_model_ids/fetch_api_models. - test_telegram_noise_filter.py: 15-platform copy-paste matrix over shared gateway.run logic → 3 representative platforms (55s → 3.9s). - test_gateway_shutdown.py: stop()'s 5s interrupt-deadline loop spun on MagicMock agents — interrupt.side_effect now clears _running_agents (22s → 1.0s). - test_gateway_inactivity_timeout.py poll-harness timings shrunk 3-5x (24s → 1.1s); test_mcp_stability.py backoff/SIGTERM-grace sleeps patched (15.4s → 2.5s); test_async_delegation.py negative-drain wait 5s → 0.5s. - test_telegram_init_deadline.py: loop-block margin restored to 1.0s with rationale comment — the watchdog-dump assertion needs the loop blocked well past deadline+grace under parallel load (flaked once in the 40-worker verification run at a 0.2s margin). Verification: full hermetic suite via scripts/run_tests.sh — 2,438 files, 21,718 tests passed, 0 failed, 293.9s wall. Suite totals vs original baseline: 46,820 → 19,757 test functions (−57.8%), wall 583.5s → 293.9s (−50%), subprocess CPU 13,564s → 11,623s.
35 lines
1.3 KiB
Python
35 lines
1.3 KiB
Python
"""LRU bound on the Piper/KittenTTS model caches.
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Each cached entry is a whole loaded TTS model (tens of MB). Without a cap the
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caches pinned one model per distinct voice/model for the process lifetime, so a
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surface that sweeps voices grew memory with no ceiling. `_tts_cache_get_or_load`
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loads on a miss and evicts the least-recently-used entry beyond the cap.
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"""
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from __future__ import annotations
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import tools.tts_tool as tts
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def test_loads_on_miss_and_serves_from_cache_on_hit():
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cache: dict = {}
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calls = []
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def load():
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calls.append(1)
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return "model"
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assert tts._tts_cache_get_or_load(cache, "a", load) == "model"
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assert tts._tts_cache_get_or_load(cache, "a", load) == "model"
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assert len(calls) == 1 # loaded once, second call served from cache
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def test_hit_refreshes_recency_so_eviction_is_lru_not_fifo(monkeypatch):
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monkeypatch.setattr(tts, "_TTS_MODEL_CACHE_MAX", 2)
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cache: dict = {}
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tts._tts_cache_get_or_load(cache, "a", lambda: "a")
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tts._tts_cache_get_or_load(cache, "b", lambda: "b")
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# Touch "a": "b" is now the least recently used.
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tts._tts_cache_get_or_load(cache, "a", lambda: "a")
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tts._tts_cache_get_or_load(cache, "c", lambda: "c")
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assert "b" not in cache
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assert set(cache) == {"a", "c"}
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