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turnstone/tests/test_perception.py
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Patrick Buckley bc3fa60011 fix(providers): segregate inline reasoning at the drain seam
Passthrough servers (parserless vLLM/llama.cpp, LM Studio, bare
gateways) emit reasoning as literal <think>/<reasoning> blocks inside
content, and only three of nine drained lanes stripped them: web_fetch
tool results persisted raw think blocks into every following turn
(#940), judge verdicts parsed through tag noise, and a draft verdict
inside a think block could shadow the real one at the output guard.

One rule at the seam now. drain_stream accumulates content in RUNS
bounded by interleaving signals (provider-parsed reasoning deltas,
tool-call deltas) with the interactive consumer's within-chunk ordering
— reasoning, then content, then the tool-call close — and splits each
run through split_inline_reasoning, the one-shot form of the
interactive lane's ThinkTagSplitter: a pure raw split, exactly
equivalent to the streaming form on every catalog case. One trim policy
exists and the drain owns it: blank edge lines are trimmed once over
the joined runs when a tag was consumed, so tag residue dies at the
edges while genuine inter-run paragraph separators survive. Extracted
text is appended to result.reasoning after any server-parsed reasoning
with a blank-line boundary and rides the native lane as the
reasoning_text synth block. Orphan CLOSE tags deliberately pass through
byte-identical: a close whose open never arrived is indistinguishable
from prose QUOTING the tag, and drained lanes routinely quote
third-party text — reclassifying would let a malicious page containing
the literal tag destroy the extraction that cites it. The title lane
keeps a local rfind peel as display-string formatting. The citations
footer folds only onto non-blank content — sourcing for an answer that
does not exist is dropped rather than handed to emptiness checks as a
footer-only "answer".

Every private strip is deleted: the title lane's strip, the summarizer
strip, _strip_reasoning itself, and the optimizer's five regexes
(_strip_markdown_fence is now the one fence rule, applied to normalized
model output only, never to or-fallback values). Think-only and
whitespace-only responses drain to blank content, and every lane's
no-answer fallback gates on blankness: web_fetch returns an honest
extraction-error card, the intent judge takes the empty-retry ladder,
the task-agent synthesis reports "(no output)", and the optimizer keeps
the current observer system and prompt verbatim on no-answer passes.
Final-say reads (optimizer analyst, eval final_content, the notify
hook) use trajectory.final_assistant_text — the last assistant turn
only, never an earlier narration presented as the conclusion — while
last_assistant_text is the salvage walk (task_agent partial-work
recovery), skipping tool-call-only, all-reasoning, and whitespace-only
turns. Perception memoizes every completed description immediately,
including an empty one — one perceive per key, ever — under a
commit-lock guard so an empty result never overwrites a concurrently
memoized real description; an all-reasoning perception model pins the
placeholder until restart, and the remediation is server-side (a
reasoning parser or the template thinking toggle on the perception
alias). A true double-reasoning shape (inline-extracted text alongside
a native reasoning block) logs chars-only at the drain, where it is
distinguishable from the routine reasoning_delta mirror.

The dialect's semantics are pinned as one table
(tests/_reasoning_dialect.py) driven through shared fixtures
(think_tag_stream, seam_provider): one-shot conformance, the exact
one-shot/streaming equivalence property, the drain seam rules including
quoted-tag safety, run-boundary and separator-preservation pins,
per-lane pins for all nine lanes, and the empty-content assistant wire
shape.

Closes #965. Closes #940.
2026-08-05 00:23:11 -07:00

217 lines
7.4 KiB
Python

"""Unit tests for the perception wire-fallback (turnstone/core/perception.py)."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
import pytest
from tests._session_helpers import as_stream, mock_completion_result
from turnstone.core import perception
if TYPE_CHECKING:
from collections.abc import Iterator
class _StubProvider:
"""Minimal LLMProvider stand-in: counts calls, can fail the first N.
``describe`` routes through ``model_turn``, so the stub carries the lane
surface (``provider_name``, ``get_capabilities``) and returns a full
``CompletionResult`` shape, and it records the ``resolve_attachments``
callback the translator would use to materialize the by-reference parts.
"""
provider_name = "openai-compatible"
def __init__(self, *, content: str = "a description", fail_times: int = 0) -> None:
self.calls = 0
self._content = content
self._fail_times = fail_times
self.last_messages: list[dict[str, Any]] | None = None
self.last_resolve: Any = None
def get_capabilities(self, model: str) -> Any:
from turnstone.core.providers._protocol import ModelCapabilities
return ModelCapabilities()
def create_streaming(
self,
*,
client: Any,
model: str,
messages: list[dict[str, Any]],
resolve_attachments: Any = None,
**_: Any,
) -> Any:
self.calls += 1
self.last_messages = messages
self.last_resolve = resolve_attachments
if self.calls <= self._fail_times:
raise RuntimeError("backend down")
# Shared field inventory: when model_turn's re-ingest reads a new
# CompletionResult field, mock_completion_result is the ONE
# definition to extend and this suite moves with it.
return as_stream(mock_completion_result(self._content))
@pytest.fixture(autouse=True)
def _clear_cache() -> Iterator[None]:
perception._clear_perception_cache_for_test()
yield
perception._clear_perception_cache_for_test()
def _parts() -> list[dict[str, Any]]:
return [{"type": "image_url", "image_url": {"url": "data:image/png;base64,AAAA"}}]
def test_describe_lowers_prompt_then_by_reference_parts() -> None:
prov = _StubProvider(content="desc")
out = perception.describe(provider=prov, client=object(), model="m", parts=_parts()) # type: ignore[arg-type]
assert out == "desc"
assert prov.last_messages is not None
content = prov.last_messages[0]["content"]
assert content[0]["type"] == "text" # prompt leads
# The attachment rides by reference; the translator materializes it via
# the threaded resolver, which must return the prebuilt parts verbatim.
assert content[1]["attachment_id"] == "perception-input"
assert prov.last_resolve is not None
assert prov.last_resolve(["perception-input"]) == {"perception-input": _parts()}
def test_describe_empty_parts_skips_backend() -> None:
prov = _StubProvider()
assert perception.describe(provider=prov, client=object(), model="m", parts=[]) == "" # type: ignore[arg-type]
assert prov.calls == 0
def test_describe_cached_memoizes_by_principal_alias_and_hash() -> None:
prov = _StubProvider(content="desc")
kw: dict[str, Any] = {
"provider": prov,
"client": object(),
"model": "m",
"principal_id": "user-a",
"alias": "omni",
"content_hash": "h1",
"parts": _parts(),
}
assert perception.describe_cached(**kw) == "desc"
assert perception.describe_cached(**kw) == "desc"
assert prov.calls == 1 # second served from cache
perception.describe_cached(**{**kw, "content_hash": "h2"})
assert prov.calls == 2 # distinct hash → fresh perceive
perception.describe_cached(**{**kw, "principal_id": "user-b"})
assert prov.calls == 3 # same content under another user's grant → fresh perceive
def test_describe_cached_does_not_cache_failures() -> None:
prov = _StubProvider(content="recovered", fail_times=1)
kw: dict[str, Any] = {
"provider": prov,
"client": object(),
"model": "m",
"principal_id": "user-a",
"alias": "omni",
"content_hash": "h",
"parts": _parts(),
}
assert perception.describe_cached(**kw) == "" # backend down → "" (uncached)
assert perception.describe_cached(**kw) == "recovered" # retried, succeeds
assert prov.calls == 2
def test_describe_peek_returns_none_when_absent() -> None:
assert (
perception.describe_peek(
principal_id="user-a",
alias="omni",
content_hash="missing",
)
is None
)
def test_describe_peek_returns_cached_without_recompute() -> None:
prov = _StubProvider(content="desc")
kw: dict[str, Any] = {
"provider": prov,
"client": object(),
"model": "m",
"principal_id": "user-a",
"alias": "omni",
"content_hash": "h",
"parts": _parts(),
}
perception.describe_cached(**kw) # populate the memo
assert prov.calls == 1
# Peek serves the memoized text and never re-invokes the backend — this is
# what lets the wire resolver skip the PDF rasterize on a cross-send hit.
assert (
perception.describe_peek(
principal_id="user-a",
alias="omni",
content_hash="h",
)
== "desc"
)
assert (
perception.describe_peek(
principal_id="user-b",
alias="omni",
content_hash="h",
)
is None
)
assert prov.calls == 1
def test_describe_cached_memoizes_empty_descriptions() -> None:
# A completed-but-empty description (an all-reasoning pass) memoizes
# like any other result: one perceive per key, ever — bounded cost.
# The pin-until-restart residual is deliberate; the remediation is
# server-side (reasoning parser / template thinking toggle).
prov = _StubProvider(content="")
kw: dict[str, Any] = {
"provider": prov,
"client": object(),
"model": "m",
"principal_id": "user-a",
"alias": "omni",
"content_hash": "h-empty",
"parts": _parts(),
}
assert perception.describe_cached(**kw) == ""
assert perception.describe_cached(**kw) == ""
assert prov.calls == 1 # second call served from the memo
assert (
perception.describe_peek(principal_id="user-a", alias="omni", content_hash="h-empty") == ""
)
def test_racing_empty_result_never_clobbers_memoized_real_description(monkeypatch) -> None:
# The describe call runs unlocked: a racer can memoize a REAL
# description while another call is producing "". The empty commit
# must yield to the existing memo, never overwrite it.
key_kwargs = {"principal_id": "user-a", "alias": "omni", "content_hash": "h-race"}
def _racing_describe(**_kw: Any) -> str:
with perception._cache_lock:
perception._cache[perception._cache_key(**key_kwargs)] = "real from racer"
return ""
monkeypatch.setattr(perception, "describe", _racing_describe)
out = perception.describe_cached(
provider=_StubProvider(content=""),
client=object(),
model="m",
parts=_parts(),
**key_kwargs,
)
assert out == "real from racer"
assert (
perception.describe_peek(**key_kwargs) == "real from racer"
) # the billed real description survived