PageIndex/tests/test_concurrency.py
mountain b9d021916f fix: prompt-injection delimiter escape, legacy config coercion, gather resilience, true cross-thread concurrency bound
Addresses items 4-8 from the max-effort review of PR #272 (VectifyAI/PageIndex#272).

- agent.py: wrap_with_doc_context() strips '<'/'>' from doc_name/doc_description
  (untrusted: unsanitized filename / LLM-generated from document content) before
  inserting them into the <docs>...</docs> block, so embedded content can never
  form a literal </docs> that closes the delimiter early and escapes the
  untrusted-data boundary SCOPED_SYSTEM_PROMPT relies on. Deterministic
  per-field transform, doesn't touch the (cacheable) static system prompt.

- ConfigLoader.load() (legacy 0.2.x compat) now routes merged overrides through
  IndexConfig before returning, so a legacy 'no' string gets pydantic's bool
  coercion instead of surviving as a truthy non-empty string — page_index_main's
  bare `if opt.if_add_node_summary:` checks (changed from `== 'yes'` elsewhere
  in this PR) were silently inverting caller intent and firing unwanted billed
  LLM calls.

- verify_toc, process_large_node_recursively, tree_parser,
  generate_summaries_for_structure, generate_summaries_for_structure_md: added
  return_exceptions=True to their asyncio.gather calls (llm_completion/
  llm_acompletion raise RuntimeError on retry exhaustion, added earlier in this
  PR), each with a degrade path matching the pattern already used by sibling
  hardened gathers in the same files. One transient LLM failure no longer
  aborts the whole document's indexing.

- _llm_semaphore is now a true process-wide ceiling (threading.Semaphore,
  shared across every thread/event loop) instead of one asyncio.Semaphore per
  event loop -- concurrently indexing N documents on N threads no longer
  multiplies the effective cap by N. A max_concurrency_scope() override is
  layered as a second, nested, per-loop restriction that can only tighten the
  effective cap within the ceiling, never widen past it.

- set_llm_params() mutated a bare process-wide dict with no per-call isolation,
  unlike max_concurrency which already had ContextVar scoping. Added
  llm_params_scope() (mirrors max_concurrency_scope) + IndexConfig.llm_params,
  wired into build_index() the same way max_concurrency already was, so
  concurrent indexing jobs with different llm kwargs don't leak into each
  other.

Adds regression tests for all five. Full suite: 221 passed, 2 skipped (one
pre-existing, unrelated flaky cloud-streaming test intermittently fails on
rerun; confirmed independent of this change).

Claude-Session: https://claude.ai/code/session_01Kx5DgKbhK1N8autqXH8SmS
2026-07-09 11:15:58 +08:00

307 lines
10 KiB
Python

import asyncio
import threading
from types import SimpleNamespace
import pydantic
import pytest
from pageindex.config import (
IndexConfig,
_env_max_concurrency_default,
get_llm_params,
get_max_concurrency,
llm_params_scope,
max_concurrency_scope,
set_llm_params,
set_max_concurrency,
)
from pageindex.index.utils import _llm_semaphore, llm_acompletion
@pytest.fixture(autouse=True)
def _restore_max_concurrency():
"""Keep tests isolated — the concurrency setting is a module global."""
prev = get_max_concurrency()
yield
set_max_concurrency(prev)
@pytest.fixture(autouse=True)
def _restore_llm_params():
"""Keep tests isolated — llm params are a module global too."""
prev = get_llm_params()
yield
set_llm_params(**prev)
async def _nested_llm_load(state, *, branches=5, leaves=5):
"""Drive branches*leaves leaf calls, nested two levels deep, each holding
the shared per-loop LLM semaphore — the exact shape of the indexing pipeline
(tree_parser gather -> per-node gather -> leaf LLM call)."""
async def leaf():
async with _llm_semaphore():
state["in_flight"] += 1
state["peak"] = max(state["peak"], state["in_flight"])
await asyncio.sleep(0.01)
state["in_flight"] -= 1
async def branch():
await asyncio.gather(*(leaf() for _ in range(leaves)))
await asyncio.gather(*(branch() for _ in range(branches)))
def test_llm_semaphore_bounds_concurrency_even_when_nested():
# The core fix: the cap is a TRUE global bound even when acquired from
# deeply nested gathers. 25 leaf calls nested two levels, cap 3 -> peak 3.
# A per-gather-call semaphore (the previous design) would let this reach
# branches*leaves and blow past the cap.
set_max_concurrency(3)
state = {"in_flight": 0, "peak": 0}
asyncio.run(_nested_llm_load(state, branches=5, leaves=5))
assert state["peak"] == 3
def test_llm_semaphore_is_a_true_process_wide_ceiling_across_threads():
# The bug this fixes: each asyncio.run() (its own event loop) used to get
# an independent full-size semaphore, so N concurrently-indexing threads
# multiplied the effective cap by N. 2 threads, cap=3 -> combined peak
# must stay at 3, not 6.
set_max_concurrency(3)
state = {"in_flight": 0, "peak": 0}
lock = threading.Lock()
async def leaf():
async with _llm_semaphore():
with lock:
state["in_flight"] += 1
state["peak"] = max(state["peak"], state["in_flight"])
await asyncio.sleep(0.05)
with lock:
state["in_flight"] -= 1
async def load():
await asyncio.gather(*(leaf() for _ in range(5)))
threads = [threading.Thread(target=lambda: asyncio.run(load())) for _ in range(2)]
[t.start() for t in threads]
[t.join() for t in threads]
assert state["peak"] == 3
def test_llm_semaphore_uses_scoped_override():
# A per-index max_concurrency_scope active when the loop's semaphore is first
# created must set its size, and must not mutate the process default.
set_max_concurrency(10)
state = {"in_flight": 0, "peak": 0}
async def run():
with max_concurrency_scope(2):
await _nested_llm_load(state, branches=4, leaves=4)
asyncio.run(run())
assert state["peak"] == 2
assert get_max_concurrency() == 10
def test_llm_acompletion_holds_the_shared_semaphore(monkeypatch):
# Prove llm_acompletion (the single chokepoint every LLM call funnels
# through) actually acquires the shared cap around the network call.
set_max_concurrency(3)
state = {"in_flight": 0, "peak": 0}
async def fake_acompletion(**kwargs):
state["in_flight"] += 1
state["peak"] = max(state["peak"], state["in_flight"])
await asyncio.sleep(0.01)
state["in_flight"] -= 1
return SimpleNamespace(
choices=[SimpleNamespace(message=SimpleNamespace(content="ok"))]
)
monkeypatch.setattr("litellm.acompletion", fake_acompletion)
async def run():
await asyncio.gather(*(llm_acompletion("gpt-x", f"p{i}") for i in range(20)))
asyncio.run(run())
assert state["peak"] == 3
def test_run_async_propagates_scope_into_worker_thread():
# When build_index runs inside an already-running loop, _run_async hops to a
# worker thread. The max_concurrency_scope override must ride along (copied
# context) and still bound the (nested) LLM load in that worker loop.
from pageindex.index.pipeline import _run_async
set_max_concurrency(10)
state = {"in_flight": 0, "peak": 0}
async def outer():
# We're inside a running loop -> _run_async uses the worker thread.
with max_concurrency_scope(3):
_run_async(_nested_llm_load(state, branches=4, leaves=4))
asyncio.run(outer())
assert state["peak"] == 3
def test_set_get_max_concurrency_round_trip():
set_max_concurrency(3)
assert get_max_concurrency() == 3
def test_set_max_concurrency_rejects_invalid():
# bool is an int subclass -> must be rejected, not silently -> Semaphore(1).
for bad in (0, -1, True, False, 2.5, "3", None):
with pytest.raises(ValueError):
set_max_concurrency(bad)
def test_env_default_parsing(monkeypatch):
monkeypatch.delenv("PAGEINDEX_MAX_CONCURRENCY", raising=False)
assert _env_max_concurrency_default() == 5
monkeypatch.setenv("PAGEINDEX_MAX_CONCURRENCY", "20")
assert _env_max_concurrency_default() == 20
monkeypatch.setenv("PAGEINDEX_MAX_CONCURRENCY", "garbage")
assert _env_max_concurrency_default() == 5
monkeypatch.setenv("PAGEINDEX_MAX_CONCURRENCY", "0")
assert _env_max_concurrency_default() == 5
def test_index_config_max_concurrency_field():
# Default is None → "use the global/env default"; explicit value overrides.
assert IndexConfig().max_concurrency is None
assert IndexConfig(max_concurrency=7).max_concurrency == 7
def test_index_config_rejects_bool_and_non_positive_max_concurrency():
# bool would otherwise be coerced by pydantic to 1/0; both must be rejected.
for bad in (True, False, 0, -1):
with pytest.raises(pydantic.ValidationError):
IndexConfig(max_concurrency=bad)
def test_max_concurrency_scope_overrides_then_restores():
# A per-index override applies inside the scope and, crucially, does NOT
# stick as the new process default afterwards (no stickiness).
set_max_concurrency(10)
with max_concurrency_scope(3):
assert get_max_concurrency() == 3
assert get_max_concurrency() == 10
def test_max_concurrency_scope_none_is_a_no_op():
set_max_concurrency(8)
with max_concurrency_scope(None):
assert get_max_concurrency() == 8
assert get_max_concurrency() == 8
def test_max_concurrency_scope_rejects_invalid():
for bad in (0, -1, True, False):
with pytest.raises(ValueError):
with max_concurrency_scope(bad):
pass
def test_max_concurrency_scope_is_isolated_across_threads():
# A per-index override in one indexing thread must not leak into another
# thread indexing a different document concurrently. The override is a
# ContextVar, so it's invisible outside its own context.
set_max_concurrency(10)
seen = {}
barrier = threading.Barrier(2)
def worker():
with max_concurrency_scope(2):
barrier.wait() # let main read while we're inside the scope
seen["worker"] = get_max_concurrency()
barrier.wait()
t = threading.Thread(target=worker)
t.start()
barrier.wait()
seen["main"] = get_max_concurrency()
barrier.wait()
t.join()
assert seen["worker"] == 2 # worker sees its own scoped override
assert seen["main"] == 10 # main is unaffected by the worker's scope
def test_llm_params_scope_overrides_then_restores():
set_llm_params(temperature=0)
with llm_params_scope({"temperature": 1}):
assert get_llm_params()["temperature"] == 1
assert get_llm_params()["temperature"] == 0
def test_llm_params_scope_none_is_a_no_op():
set_llm_params(temperature=0)
with llm_params_scope(None):
assert get_llm_params()["temperature"] == 0
assert get_llm_params()["temperature"] == 0
def test_llm_params_scope_rejects_reserved_keys():
with pytest.raises(ValueError):
with llm_params_scope({"model": "x"}):
pass
def test_llm_params_scope_is_isolated_across_threads():
set_llm_params(temperature=0)
seen = {}
barrier = threading.Barrier(2)
def worker():
with llm_params_scope({"temperature": 1}):
barrier.wait()
seen["worker"] = get_llm_params()["temperature"]
barrier.wait()
t = threading.Thread(target=worker)
t.start()
barrier.wait()
seen["main"] = get_llm_params()["temperature"]
barrier.wait()
t.join()
assert seen["worker"] == 1
assert seen["main"] == 0
def test_llm_params_scope_does_not_leak_across_concurrent_indexing():
# The bug this fixes: set_llm_params() mutates a bare process-wide dict, so
# two documents indexed concurrently with different llm_params_scope()
# overrides must not see each other's temperature.
set_llm_params(temperature=0)
seen = {"a": None, "b": None}
async def job(name, temperature, delay_before, delay_after):
with llm_params_scope({"temperature": temperature}):
await asyncio.sleep(delay_before)
seen[name] = get_llm_params()["temperature"]
await asyncio.sleep(delay_after)
async def run():
await asyncio.gather(
job("a", 1, 0.0, 0.05),
job("b", 2, 0.02, 0.0),
)
asyncio.run(run())
assert seen["a"] == 1
assert seen["b"] == 2
def test_utils_star_import_does_not_leak_config_name():
# `from .utils import *` (used by the page_index modules) must not export a
# name `config` that would shadow the real pageindex.config submodule for
# those modules. The SimpleNamespace alias is now `_config`.
ns = {}
exec("from pageindex.index.utils import *", ns)
assert "config" not in ns