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increment_probe_failures / reset_probe_failures did a non-atomic get_state (GET) -> mutate -> set (SET) in Python. A concurrent activate() re-park writes a FRESH episode blob (probe_failures: 0 + fresh activated_at / retry_after / affected_agents / kind); if the stale increment's SET landed after the fresh activate's SET, the stale blob overwrote the fresh episode metadata AND un-reset the counter (clobbering the new episode). Redis single-threads a Lua EVAL, so a server-side read-modify-write is indivisible: activate's SET is serialized entirely before or after the script, never interleaved between the script's GET and SET. The two scripts mutate ONLY probe_failures, so every other episode field survives the bump. activate stays a single atomic SET (a fresh episode resetting the counter to 0 is correct semantics).
185 lines
7.2 KiB
Python
185 lines
7.2 KiB
Python
"""The probe-failure counter update must be a single atomic Redis op.
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``increment_probe_failures`` / ``reset_probe_failures`` used to do a non-atomic
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read-modify-write: ``get_state`` (GET) → mutate the dict → ``SET`` the whole
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blob back. A concurrent ``activate()`` (a re-park — grok 429 re-park, a 529
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overload re-park) writes a FRESH episode blob (``probe_failures: 0`` + fresh
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``activated_at`` / ``retry_after`` / ``affected_agents`` / ``kind``). If the
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stale ``increment``'s SET lands AFTER the fresh ``activate``'s SET, the stale
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blob overwrites the fresh episode metadata AND un-resets the counter (writes
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back the old ``probe_failures`` + old metadata) — clobbering the new episode.
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Redis single-threads a Lua ``EVAL``, so a server-side read-modify-write is
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indivisible: ``activate``'s ``SET`` is serialized entirely before or entirely
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after the script — never interleaved between the script's GET and SET. These
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tests pin the WIRING (the increment/reset go through ``eval``, a single atomic
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server-side call, NOT a separate ``get``+``set`` pair) and the field-preservation
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(the script decodes, mutates ONLY ``probe_failures``, re-encodes — every other
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episode field survives the bump).
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"""
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from __future__ import annotations
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import json
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from typing import Any
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from unittest.mock import AsyncMock
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import pytest
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from roboco.services.gateway.rate_limit_tracker import RateLimitStateTracker
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def _make_redis_mock(initial_store: dict[str, Any] | None = None) -> AsyncMock:
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"""Async Redis mock backed by a dict, with server-side ``eval`` for the
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tracker's two Lua scripts.
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The ``eval`` impl mirrors the Lua (GET → decode → mutate only
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``probe_failures`` → SET) so a single-threaded test observes the same result
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production gets from Redis' atomic Lua execution. Real concurrency cannot be
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simulated with a mock; the atomicity guarantee in production is Redis'
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single-threaded Lua, which these tests pin by asserting the tracker routes
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through ``eval`` (one atomic op) rather than a separate ``get``+``set``.
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"""
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store: dict[str, Any] = initial_store if initial_store is not None else {}
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async def _get(key: str) -> bytes | None:
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val = store.get(key)
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if val is None:
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return None
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if isinstance(val, bytes):
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return val
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return str(val).encode()
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async def _set(key: str, value: Any) -> None:
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store[key] = value
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async def _delete(key: str) -> int:
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return 1 if store.pop(key, None) is not None else 0
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async def _eval(script: str, _numkeys: int, *keys_and_args: Any) -> Any:
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key = keys_and_args[0]
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raw = store.get(key)
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text = raw.decode() if isinstance(raw, bytes) else (str(raw) if raw else None)
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if "roboco:increment_probe_failures" in script:
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if text is None:
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state: dict[str, Any] = {"probe_failures": 1}
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else:
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state = json.loads(text)
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state["probe_failures"] = state.get("probe_failures", 0) + 1
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store[key] = json.dumps(state)
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return state["probe_failures"]
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if "roboco:reset_probe_failures" in script:
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if text is None:
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state = {"probe_failures": 0}
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else:
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state = json.loads(text)
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state["probe_failures"] = 0
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store[key] = json.dumps(state)
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return None
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raise AssertionError(f"unknown eval script: {script[:80]}")
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mock = AsyncMock()
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mock.get = AsyncMock(side_effect=_get)
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mock.set = AsyncMock(side_effect=_set)
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mock.delete = AsyncMock(side_effect=_delete)
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mock.eval = AsyncMock(side_effect=_eval)
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mock._store = store
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return mock
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def _make_tracker(redis_mock: AsyncMock) -> RateLimitStateTracker:
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tracker = RateLimitStateTracker(provider="anthropic", redis_url="redis://unused")
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tracker._redis = redis_mock
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return tracker
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@pytest.mark.asyncio
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async def test_increment_uses_atomic_eval_not_separate_get_set() -> None:
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"""The increment must route through ``eval`` (one atomic server-side op) and
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must NOT issue a separate ``set`` for the read-modify-write — the separate
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SET is exactly the non-atomic write a concurrent ``activate`` can clobber."""
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mock = _make_redis_mock()
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tracker = _make_tracker(mock)
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await tracker.activate(retry_after=60.0, affected_agents=["be-dev-1"])
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# activate issued the only legitimate SET; reset call counts so the increment
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# path's commands are isolated.
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mock.set.reset_mock()
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mock.get.reset_mock()
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mock.eval.reset_mock()
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count = await tracker.increment_probe_failures()
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assert count == 1
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mock.eval.assert_awaited_once()
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# The atomic op is server-side — the tracker must not issue its own SET
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# (a separate SET is the non-atomic write a racing activate clobbers).
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mock.set.assert_not_awaited()
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@pytest.mark.asyncio
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async def test_reset_uses_atomic_eval_not_separate_get_set() -> None:
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mock = _make_redis_mock()
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tracker = _make_tracker(mock)
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await tracker.activate()
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await tracker.increment_probe_failures()
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mock.set.reset_mock()
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mock.get.reset_mock()
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mock.eval.reset_mock()
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await tracker.reset_probe_failures()
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mock.eval.assert_awaited_once()
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mock.set.assert_not_awaited()
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assert (await tracker.get_state())["probe_failures"] == 0
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@pytest.mark.asyncio
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async def test_increment_preserves_episode_metadata() -> None:
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"""The atomic script decodes, mutates ONLY ``probe_failures``, and re-encodes
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— every other episode field (rate_limited / kind / activated_at / retry_after
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/ affected_agents) survives the bump. This is the property a non-atomic
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GET+SET that read a STALE blob would violate under a concurrent activate."""
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retry_after = 120.0
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bumps = 2
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mock = _make_redis_mock()
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tracker = _make_tracker(mock)
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await tracker.activate(
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retry_after=retry_after,
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affected_agents=["be-dev-1", "fe-dev-1"],
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kind="overloaded",
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)
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before = await tracker.get_state()
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for _ in range(bumps):
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await tracker.increment_probe_failures()
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after = await tracker.get_state()
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assert after["probe_failures"] == bumps
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# Episode metadata untouched by the counter bump.
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assert after["rate_limited"] is before["rate_limited"] is True
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assert after["kind"] == "overloaded"
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assert after["retry_after"] == retry_after
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assert after["affected_agents"] == ["be-dev-1", "fe-dev-1"]
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assert after["activated_at"] == before["activated_at"]
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@pytest.mark.asyncio
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async def test_increment_accumulates_across_calls() -> None:
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mock = _make_redis_mock()
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tracker = _make_tracker(mock)
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await tracker.activate()
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total = 4
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counts = [await tracker.increment_probe_failures() for _ in range(total)]
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assert counts == [1, 2, 3, total]
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assert (await tracker.get_state())["probe_failures"] == total
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@pytest.mark.asyncio
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async def test_reset_zeroes_after_increments() -> None:
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mock = _make_redis_mock()
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tracker = _make_tracker(mock)
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await tracker.activate()
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for _ in range(3):
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await tracker.increment_probe_failures()
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await tracker.reset_probe_failures()
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assert (await tracker.get_state())["probe_failures"] == 0
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