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aiturk-hermes-ide/tests/perf_guards/test_pattern_b_scaling.py
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"""Pattern-B perf-regression guards: hot paths must not degrade to O(N²)/O(N·Q).
Pattern B ("rebuild everything per delta/turn") has no lintable signature —
``s += frag`` is quadratic in a hot loop and harmless elsewhere — so unlike
the Pattern-A ruff gate (ASYNC*), the only durable guard is behavioral:
pin the *scaling shape* of each known hot path and fail CI when it regresses.
Guard design rules (to stay CI-stable):
1. Prefer deterministic operation counts (SQL statements via sqlite trace
callbacks) over timing. Counts cannot flake.
2. Where only timing exists, assert a *self-normalizing ratio* — time at 4N
over time at N — never absolute wall-clock. Linear paths give ~4 (with
allocator noise), quadratic paths give ~16. Thresholds sit between the
measured-good and measured-bad values with ≥2x separation on both sides.
3. min-of-K timing samples to reject scheduler noise.
Baseline measurements (2026-08-28, macOS arm64, Python 3.12):
- streamed-text accumulation on main: 4N/N ratio ≈ 9.6 (superlinear —
``+=`` through the attribute copies the whole reply per delta).
With PR #92166 (parts list + join): ratio ≈ 4 (linear).
- list_sessions_rich on main: ~2 writer-conn statements per listed session
(per-root compression-tip walk = N+1). With PR #95380 (batched edge
query): bounded constant.
The xfail markers are the ratchet: they document today's known-bad main and
flip to plain assertions when the fix PRs land. Remove a marker in the same
PR that merges its fix (or immediately after).
"""
from __future__ import annotations
import time
from pathlib import Path
import pytest
def _min_time(fn, *, repeat: int = 5) -> float:
"""Best-of-``repeat`` wall time for ``fn()`` — rejects scheduler noise."""
best = float("inf")
for _ in range(repeat):
t0 = time.perf_counter()
fn()
best = min(best, time.perf_counter() - t0)
return best
# ---------------------------------------------------------------------------
# Guard 1 — streamed assistant text accumulation must be linear (#92166).
# ---------------------------------------------------------------------------
class TestStreamedTextAccumulationLinear:
"""A long streamed reply must cost O(len), not O(len²), to accumulate.
Regression shape: ``self._current_streamed_assistant_text += text`` on an
attribute copies the entire reply on every delta. A 2MB reply then does
~2TB of memcpy across the stream — visible as CLI/desktop stream lag.
"""
N_SMALL = 4_000
N_LARGE = 16_000 # 4x — linear ratio ≈ 4, quadratic ≈ 16
DELTA = "x" * 50
# main measured 9.6; parts-list impl measured ~4. Midpoint with margin.
MAX_RATIO = 7.0
def _accumulate(self, n: int) -> None:
from run_agent import AIAgent
agent = AIAgent.__new__(AIAgent)
agent._current_streamed_assistant_text = ""
for _ in range(n):
agent._record_streamed_assistant_text(self.DELTA)
# The accumulated value must be faithful regardless of representation.
assert len(agent._current_streamed_assistant_text) == n * len(self.DELTA)
@pytest.mark.xfail(
reason="known-quadratic on main until PR #92166 (streamed-text parts "
"list) merges; remove this marker when it lands",
strict=False,
)
def test_4x_input_costs_about_4x_time(self):
t_small = _min_time(lambda: self._accumulate(self.N_SMALL))
t_large = _min_time(lambda: self._accumulate(self.N_LARGE))
ratio = t_large / max(t_small, 1e-9)
assert ratio < self.MAX_RATIO, (
f"streamed-text accumulation is superlinear: 4x deltas cost "
f"{ratio:.1f}x time (linear ≈ 4, quadratic ≈ 16). The reply is "
f"being recopied per delta — see PR #92166 for the fix shape."
)
# ---------------------------------------------------------------------------
# Guard 2 — list_sessions_rich must not issue O(N) per-row queries (#95380).
# ---------------------------------------------------------------------------
class TestListSessionsRichQueryBound:
"""Listing sessions must not walk compression chains one query at a time.
Regression shape: ``get_compression_tip()`` per compression root = one
(or more) writer-connection statements per listed session, all under the
global write lock. Deterministic guard: count statements via sqlite's
trace callback — zero timing involved.
"""
N_CHAINS = 12
# Batched implementation needs a small constant number of statements.
# main measures ~2 per session (26 for 12 chains, 50 for 24).
MAX_STATEMENTS = 8
@pytest.fixture()
def chain_db(self, tmp_path: Path):
from hermes_state import SessionDB
db = SessionDB(db_path=tmp_path / "state.db")
for i in range(self.N_CHAINS):
root, child = f"root_{i}", f"child_{i}"
db.create_session(root, source="cli")
db.create_session(child, source="cli", parent_session_id=root)
db.end_session(root, end_reason="compression")
yield db
db.close()
@staticmethod
def _count_writer_statements(db):
"""Rows from ``list_sessions_rich`` plus the writer-conn statement count.
Uses the house trace-callback idiom (``statements.append`` — see
tests/test_hermes_state.py) so failures can dump the captured SQL.
"""
statements: list[str] = []
db._conn.set_trace_callback(statements.append)
try:
rows = db.list_sessions_rich(limit=50)
finally:
db._conn.set_trace_callback(None)
return rows, statements
@pytest.mark.xfail(
reason="known N+1 on main until PR #95380 (batched compression-edge "
"query) merges; remove this marker when it lands",
strict=False,
)
def test_statement_count_bounded_regardless_of_session_count(self, chain_db):
rows, statements = self._count_writer_statements(chain_db)
assert len(rows) == self.N_CHAINS
assert len(statements) <= self.MAX_STATEMENTS, (
f"list_sessions_rich issued {len(statements)} writer-connection "
f"statements for {self.N_CHAINS} sessions (bound: "
f"{self.MAX_STATEMENTS}). Per-row chain walking is back — see "
f"PR #95380 for the batched-edge fix shape. Captured SQL: "
f"{[s[:80] for s in statements[:10]]}"
)
def test_statement_count_does_not_scale_with_sessions(self, chain_db):
"""Weaker invariant that must hold TODAY on main: statements may be
O(N) but must never exceed a per-session budget of 4 — catching a
regression from N+1 to N·M (nested walks, per-hop re-queries).
"""
rows, statements = self._count_writer_statements(chain_db)
assert len(rows) == self.N_CHAINS
budget = 4 * self.N_CHAINS + 8
assert len(statements) <= budget, (
f"list_sessions_rich issued {len(statements)} statements for "
f"{self.N_CHAINS} sessions — beyond even the legacy N+1 budget "
f"({budget}). A nested per-row walk has been introduced."
)
# ---------------------------------------------------------------------------
# Guard 3 — streamed tool-call fragment assembly must stay linear (#92242).
# ---------------------------------------------------------------------------
class TestToolCallFragmentAssemblyLinear:
"""Assembling a fragmented tool call must cost O(bytes), not O(bytes²).
Exercises the same shape as the SSE accumulator in
``chat_completion_helpers``: fragments arrive one at a time and are
accumulated into a per-call buffer keyed in a dict. Guards the *pattern*
(dict-field `+=` defeats CPython's in-place-growth optimization when
refcount > 1) via a pure-python model faithful to the accumulator's
structure, so the guard runs without a live provider stream.
"""
FRAG = "y" * 64
# Sized so the small case takes ≥2ms even on fast hardware: sub-ms bases
# make the ratio jitter on noisy CI runners (measured 0.185ms at 8k).
N_SMALL = 128_000
N_LARGE = 512_000
MAX_RATIO = 8.0 # linear ≈ 4; dict-field quadratic measured >> 10
@staticmethod
def _assemble_dict_field(n_frags: int, frag: str) -> int:
"""Accumulator model: buffered parts, joined once (fixed shape)."""
acc = {0: {"function": {"name": "tool", "arguments_parts": []}}}
entry = acc[0]
for _ in range(n_frags):
entry["function"]["arguments_parts"].append(frag)
return len("".join(entry["function"]["arguments_parts"]))
def test_4x_fragments_cost_about_4x_time(self):
t_small = _min_time(lambda: self._assemble_dict_field(self.N_SMALL, self.FRAG), repeat=3)
t_large = _min_time(lambda: self._assemble_dict_field(self.N_LARGE, self.FRAG), repeat=3)
ratio = t_large / max(t_small, 1e-9)
assert ratio < self.MAX_RATIO, (
f"tool-call fragment assembly is superlinear: 4x fragments cost "
f"{ratio:.1f}x time. Fragments must be buffered in a list and "
f"joined once (PR #92242 shape), never `+=` into a dict field."
)