unsloth/studio/backend/tests/test_logging_middleware.py
Daniel Han a6aa4fff10
Studio: quiet noisy logs, log real progress, and speed up Windows/macOS dataset prep (#7087)
* Studio: exclude /api/export/status from request access logs

The frontend polls /api/export/status every 5s to detect export start, so it
fires continuously even when idle. Each poll emitted an info request_completed
access line, making up most of the server access logs. Add it to _EXCLUDED_PATHS
alongside /api/train/status. The endpoint is unchanged; export state is still
logged by the export modules and streamed over SSE, so no signal is lost.

* Studio: collapse hub download-progress polls in the access log

download-status and gguf-download-progress (plus the dataset equivalents)
are polled about twice a second for the whole download, so each emitted an
info request_completed line. Add them to _QUIET_POLL_PATHS so they collapse
to one heartbeat line per 10s instead of one per poll.

* Studio: log hub download progress at 10% steps

The access log carried no real progress, only poll pings. Emit one
hub_download_progress line per 10% step from the shared snapshot progress
reader, so an active download shows actual percentage without a line per
poll. Throttled per job and resynced if the same download restarts.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Studio: drop successful chat thread/project CRUD from the access log

A single chat turn fans out about twenty requests under /api/chat/threads
and /api/chat/projects (list, fetch, per-message forks, and the message
writes) that only reflect the UI re-rendering. Suppress their 2xx access
line so the log keeps the signal (generation, tool calls, code execution,
engine stats) and errors. Non-2xx on these paths still log.

* Studio: silence transformers torch_dtype deprecation warning

transformers logs "`torch_dtype` is deprecated! Use `dtype` instead!" once at
model-config load via logger.warning_once (logging, not warnings), so a warnings
filter cannot catch it. Attach a small logging.Filter in setup_logging, which
runs before any model config is parsed, to drop that record on the transformers
loggers that emit it.

* Studio: quiet inference load-progress polls and log throttled load progress

The frontend polls /api/inference/load-progress about twice a second for the
whole model load, so each emitted a request_completed line. Add it to
_QUIET_POLL_PATHS (heartbeat) and emit one inference_load_progress line per 10%
step from the load-progress route, so a load shows real percentage instead of a
line per poll.

* Studio: fully suppress download/load progress poll access lines

The download-status, download-progress, gguf-download-progress, active-downloads
and transport-status polls (model and dataset), plus inference load-progress,
fire ~2x/s for the whole download or load. Their progress is now reported by the
hub_download_progress / inference_load_progress events (and the viewer's progress
line), so the per-poll access line adds nothing. Drop it on 2xx and keep it on
errors, instead of the prior 10s heartbeat. Chat CRUD suppression is folded into
the same _is_quiet_success helper.

* Studio: suppress training-tab model/dataset download-progress polls

The training tab polls /api/models/download-progress and
/api/datasets/download-progress about twice a second for the whole prep phase.
These are separate routes from the /api/hub equivalents and only scan the cache,
so their 2xx access line adds nothing (on Windows they always read 0 since the
bytes live in snapshots/, not blobs/). Suppress the 2xx line and keep errors,
alongside /api/models/gguf-download-progress.

* Studio: drop transient pre-auth 401 on chat thread/project polls

On first load the SPA fires chat thread/project GETs before the initial token
refresh, so they 401 until /api/auth/refresh runs and the retries succeed. That
pre-auth 401 is a bootstrap artifact, not an error; suppress it alongside the
already-quiet 2xx line. Genuine 4xx/5xx on these paths, the download/load poll
401s, and all /api/auth/* still log.

* Studio: quiet tab-switch list polls and per-poll scan/reconnect logs

Switching between the Train, Export, and Chat tabs refetches list endpoints on a
timer, and each hit re-logs internal detail. Heartbeat /api/train/runs,
/api/models/checkpoints, /api/models/local and /api/rag/knowledge-bases (10s
window, first hit and errors still log), and downgrade two per-poll INFO lines to
debug: the checkpoints scan summary ("Found N training runs") and the
per-reconnect SSE resume line. The meaningful "replayed N missed steps" line,
logged only when steps were actually replayed, stays at info.

* Studio: enable tokenizer parallelism for dataset prep on Windows/macOS

TOKENIZERS_PARALLELISM was forced off everywhere to stop datasets' forked map()
workers from deadlocking, but that fork only happens on Linux. On spawn platforms
(Windows/macOS) dataset.map() runs in-process (dataset_map_num_proc returns None),
so disabling tokenizer parallelism leaves the fast tokenizer single-threaded and
dataset prep runs serially on one core. Keep it off on Linux (fork safety) and on
for spawn platforms, where there is no fork to deadlock. Measured ~7x faster
tokenization (12.5s -> 1.7s for 20k rows on a 32-core Windows box).

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Studio: log throttled training status to the server log

Training step/loss/epoch only went to the UI via SSE, so the server log showed
inference engine_stats and train/runs heartbeats but nothing about the actual
run. Emit one throttled training_progress line (step/total, percent, loss, epoch,
eta) from the CUDA event pump: the first step, then at most every 30s, plus the
final step, resyncing when a new run restarts the counter. Per-step UI streaming
is unchanged.

* Studio: quiet llama.cpp update-status polls and log throttled update progress

The prebuilt llama.cpp update polls /api/llama/update-status about twice a second
for the whole download and install. Suppress its 2xx access line (errors still
log) and emit one throttled llama_update_progress line per 10% step from the
status route, so the update shows progress without a line per poll. The existing
"llama update: installing" and "llama update: success" events still bracket it.

* Studio: quiet the export log-tail poll

The Export tab polls /api/export/logs about once a second to stream the export
subprocess output into the UI panel. Suppress its 2xx access line; the real
progress is already logged as event-driven "Export subprocess status: <phase>"
lines plus the subprocess start and checkpoint-loaded events, and errors still log.

* studio: keep errors and mutations visible in access-log suppression

Make the quiet-success access-log suppression GET-only so chat thread/project
mutations (POST/PUT/DELETE) still log; only their list-poll 2xx and the
transient pre-auth 401 are dropped.

Suppress /api/export/status 2xx only (move it out of the all-status exclude
set) so a 401/403/500 on it stays visible.

Legacy /api/models and /api/datasets download-progress polls emit no
hub_download_progress events, so heartbeat them via the 10s quiet-poll window
instead of suppressing outright, keeping download visibility (notably on
Linux). The event-emitting /api/hub download polls stay fully suppressed.

Update and extend the middleware tests to cover GET-only suppression, the
export-status error path, and the legacy download heartbeat.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* studio: tighten access-log and training-progress comments

Comment-only pass: collapse the multi-line explanations in the logging
middleware and the throttled training-progress logger to fewer lines while
keeping the rationale. No behavior change.

* studio: log structured export_progress phases

Emit a structured export_progress event per phase (consolidated in the server
log like training and download progress) instead of a plain status string, and
add a phase milestone at the start of the heavy export step so the
merge/save/convert is visible in the server log, not only in the forwarded
stdout panel.

* Studio: reset training-progress log throttle on each new run

start_training rebuilds the per-run progress state but left _last_progress_log_ts/_last_progress_log_step at their prior values. A run started within 30s of a previous one whose last logged step matched the new run's first step would hit the step == prev short-circuit and drop the promised first training_progress line, then stay suppressed until the old 30s window expired. Reset both fields when a new job is accepted.

* Studio: keep post-bootstrap chat 401s visible in the access log

The chat thread/project 401 suppression dropped every GET 401 on those prefixes, so a genuine expired-session 401 vanished alongside the transient pre-auth race. Gate the 401 drop on a per-middleware bootstrap latch that flips once /api/auth/refresh first succeeds: before that the 401s are the pre-refresh race and are suppressed; after it any chat 401 is a real failure and logs. Add a test for the post-refresh case.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Studio: limit chat access-log suppression to the exact list polls

The chat thread/project suppression matched by startswith, so it also dropped the 2xx access line for detail and message reads (/threads/{id}, /threads/{id}/messages, /threads/{id}/messages/{id}, /projects/{id}) that are not the high-frequency list polls, losing their access and latency logging. Match the two list paths exactly instead, so only the intended list polls (and their pre-auth 401 race) are suppressed while detail and message reads keep their access line. Add a regression test.

* Studio: reset inference load-progress throttle for each load

The load-progress throttle (_last_load_progress_step) is a module global that persisted across loads, so a cached or small load whose first sampled /api/inference/load-progress response already reported fraction=1.0 hit step == prev (10) from a prior completed load and emitted no inference_load_progress line, while that endpoint's access log is suppressed, leaving the new load with no progress signal. Arm the throttle at load initiation in _load_model_impl so each load's first step always logs. Add a regression test.

* Studio: tighten logging comments

Collapse a few verbose comments (tokenizer-parallelism note, torch_dtype filter, legacy download-poll heartbeat, chat list-path suppression) to fewer lines without changing intent or code.

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
2026-07-15 06:49:52 -07:00

359 lines
12 KiB
Python

# SPDX-License-Identifier: AGPL-3.0-only
# Copyright 2026-present the Unsloth AI Inc. team. All rights reserved. See /studio/LICENSE.AGPL-3.0
import asyncio
import pytest
from fastapi import FastAPI
from fastapi.testclient import TestClient
from starlette.staticfiles import StaticFiles
from loggers import handlers as hmod
from loggers.handlers import LoggingMiddleware
class _LogCapture:
def __init__(self):
self.events = []
def info(self, event, **kw):
self.events.append(("info", event, kw))
def error(self, event, **kw):
self.events.append(("error", event, kw))
@pytest.fixture
def logs(monkeypatch):
capture = _LogCapture()
monkeypatch.setattr(hmod, "logger", capture)
return capture
def _http_scope(path, method = "GET"):
return {"type": "http", "path": path, "method": method}
async def _noop_receive():
return {"type": "http.disconnect"}
def _run(coro):
return asyncio.run(coro)
def test_success_logs_status_and_forwards_chunks(logs):
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 206, "headers": []})
await send({"type": "http.response.body", "body": b"a", "more_body": True})
await send({"type": "http.response.body", "body": b"", "more_body": False})
seen = []
async def send(message):
seen.append(message)
_run(LoggingMiddleware(app)(_http_scope("/api/health"), _noop_receive, send))
assert [m["type"] for m in seen] == [
"http.response.start",
"http.response.body",
"http.response.body",
]
assert logs.events[0][1] == "request_completed"
assert logs.events[0][2]["status_code"] == 206
def test_excluded_asset_success_skips_log(logs):
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 200, "headers": []})
await send({"type": "http.response.body", "body": b"ok"})
async def send(message):
pass
for path in ("/assets/index.css", "/huggingface.svg", "/font.woff2"):
_run(LoggingMiddleware(app)(_http_scope(path), _noop_receive, send))
assert logs.events == []
def test_exception_logs_real_status_and_reraises(logs):
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 418, "headers": []})
raise RuntimeError("stream failed")
async def send(message):
pass
with pytest.raises(RuntimeError, match = "stream failed"):
_run(LoggingMiddleware(app)(_http_scope("/api/health"), _noop_receive, send))
assert logs.events[0][1] == "request_failed"
assert logs.events[0][2]["status_code"] == 418
assert logs.events[0][2]["error"] == "stream failed"
assert "process_time_ms" in logs.events[0][2]
def test_cancelled_error_propagates_without_error_log(logs):
async def app(scope, receive, send):
raise asyncio.CancelledError()
async def send(message):
pass
with pytest.raises(asyncio.CancelledError):
_run(LoggingMiddleware(app)(_http_scope("/api/health"), _noop_receive, send))
assert logs.events == []
def test_non_http_scope_passes_through(logs):
seen = []
async def app(scope, receive, send):
seen.append(scope["type"])
async def send(message):
pass
_run(LoggingMiddleware(app)({"type": "websocket", "path": "/ws"}, _noop_receive, send))
assert seen == ["websocket"]
assert logs.events == []
def test_duplicate_get_within_window_deduped(logs, monkeypatch):
monkeypatch.setattr(hmod, "_ACCESS_LOG_DEDUP_MS", 1000)
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 200, "headers": []})
await send({"type": "http.response.body", "body": b"ok"})
async def send(message):
pass
mw = LoggingMiddleware(app)
for _ in range(3):
_run(mw(_http_scope("/api/models/browse-folders"), _noop_receive, send))
# Only the first of the identical GET/200 burst is logged.
assert len(logs.events) == 1
assert logs.events[0][1] == "request_completed"
def test_mutations_and_errors_are_never_deduped(logs, monkeypatch):
monkeypatch.setattr(hmod, "_ACCESS_LOG_DEDUP_MS", 1000)
async def post_ok(scope, receive, send):
await send({"type": "http.response.start", "status": 200, "headers": []})
await send({"type": "http.response.body", "body": b"ok"})
async def get_404(scope, receive, send):
await send({"type": "http.response.start", "status": 404, "headers": []})
await send({"type": "http.response.body", "body": b""})
async def send(message):
pass
mw = LoggingMiddleware(post_ok)
for _ in range(2):
_run(mw(_http_scope("/api/chat/threads", method = "POST"), _noop_receive, send))
mw_404 = LoggingMiddleware(get_404)
for _ in range(2):
_run(mw_404(_http_scope("/api/models"), _noop_receive, send))
# 2 mutations + 2 errors all logged (dedup only touches GET/2xx).
assert len(logs.events) == 4
def test_quiet_poll_paths_use_longer_heartbeat_window(logs, monkeypatch):
# Burst dedup off, quiet-poll heartbeat on: only liveness paths collapse.
monkeypatch.setattr(hmod, "_ACCESS_LOG_DEDUP_MS", 0)
monkeypatch.setattr(hmod, "_QUIET_POLL_DEDUP_MS", 1000)
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 200, "headers": []})
await send({"type": "http.response.body", "body": b"ok"})
async def send(message):
pass
mw = LoggingMiddleware(app)
for _ in range(3):
_run(mw(_http_scope("/api/inference/monitor"), _noop_receive, send)) # quiet
for _ in range(3):
_run(mw(_http_scope("/api/models/browse-folders"), _noop_receive, send)) # normal
paths = [e[2]["path"] for e in logs.events]
assert paths.count("/api/inference/monitor") == 1 # collapsed to one heartbeat
assert paths.count("/api/models/browse-folders") == 3 # base dedup off -> all logged
def test_distinct_query_strings_are_not_deduped(logs, monkeypatch):
monkeypatch.setattr(hmod, "_ACCESS_LOG_DEDUP_MS", 1000)
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": 200, "headers": []})
await send({"type": "http.response.body", "body": b"ok"})
async def send(message):
pass
def scope(query):
return {
"type": "http",
"path": "/api/models/browse-folders",
"method": "GET",
"query_string": query,
}
mw = LoggingMiddleware(app)
_run(mw(scope(b"path=/tmp/a"), _noop_receive, send))
_run(mw(scope(b"path=/tmp/b"), _noop_receive, send)) # distinct query -> logs
_run(mw(scope(b"path=/tmp/a"), _noop_receive, send)) # repeat of first -> deduped
# Two distinct query strings log; the immediate repeat of the first does not.
assert len(logs.events) == 2
def test_fastapi_static_asset_success_skips_log(tmp_path, logs):
assets_dir = tmp_path / "assets"
assets_dir.mkdir()
(assets_dir / "app.css").write_text("body { color: black; }", encoding = "utf-8")
app = FastAPI()
app.add_middleware(LoggingMiddleware)
@app.get("/api/health")
async def health():
return {"ok": True}
app.mount("/assets", StaticFiles(directory = assets_dir), name = "assets")
client = TestClient(app)
response = client.get("/api/health")
assert response.status_code == 200
assert logs.events[0][1] == "request_completed"
assert logs.events[0][2]["path"] == "/api/health"
log_count = len(logs.events)
response = client.get("/assets/app.css")
assert response.status_code == 200
assert response.text == "body { color: black; }"
assert len(logs.events) == log_count
def _status_app(status):
async def app(scope, receive, send):
await send({"type": "http.response.start", "status": status, "headers": []})
await send({"type": "http.response.body", "body": b""})
return app
async def _drop(message):
pass
def _paths_logged(logs):
return [e[2]["path"] for e in logs.events]
def test_quiet_success_get_2xx_suppressed(logs):
# A GET/2xx poll on a quiet-success path logs nothing; the signal is in events.
for path in ("/api/chat/threads", "/api/export/status", "/api/hub/download-status"):
_run(LoggingMiddleware(_status_app(200))(_http_scope(path), _noop_receive, _drop))
assert logs.events == []
def test_chat_detail_and_message_reads_still_log(logs):
# Only the exact list polls are suppressed; detail/message reads carry latency
# signal and keep their access line.
for path in (
"/api/chat/threads/abc123",
"/api/chat/threads/abc123/messages",
"/api/chat/threads/abc123/messages/m1",
"/api/chat/projects/p1",
):
_run(LoggingMiddleware(_status_app(200))(_http_scope(path), _noop_receive, _drop))
assert _paths_logged(logs) == [
"/api/chat/threads/abc123",
"/api/chat/threads/abc123/messages",
"/api/chat/threads/abc123/messages/m1",
"/api/chat/projects/p1",
]
def test_quiet_success_is_get_only(logs):
# Mutations on the same paths still log (suppression is GET-only).
for method in ("POST", "PUT", "DELETE"):
_run(
LoggingMiddleware(_status_app(200))(
_http_scope("/api/chat/threads", method = method), _noop_receive, _drop
)
)
assert len(logs.events) == 3
def test_chat_pre_auth_401_suppressed_other_errors_logged(logs):
# The transient bootstrap 401 on a chat list GET is dropped, but a 500 (or any
# other status) still logs so real failures stay visible.
_run(
LoggingMiddleware(_status_app(401))(_http_scope("/api/chat/projects"), _noop_receive, _drop)
)
assert logs.events == []
_run(
LoggingMiddleware(_status_app(500))(_http_scope("/api/chat/projects"), _noop_receive, _drop)
)
assert _paths_logged(logs) == ["/api/chat/projects"]
def test_chat_401_logged_after_first_auth_refresh(logs):
# A chat 401 before any successful token refresh is the bootstrap race and is
# dropped, but once /api/auth/refresh has succeeded on this instance later chat
# 401s are real failures and stay visible.
responses: dict[tuple[str, str], int] = {}
async def app(scope, receive, send):
status = responses.get((scope["method"], scope["path"]), 200)
await send({"type": "http.response.start", "status": status, "headers": []})
await send({"type": "http.response.body", "body": b""})
mw = LoggingMiddleware(app)
responses[("GET", "/api/chat/threads")] = 401
_run(mw(_http_scope("/api/chat/threads"), _noop_receive, _drop))
assert logs.events == [] # bootstrap race: suppressed
# A successful refresh (POST, always logged) closes the bootstrap window.
responses[("POST", "/api/auth/refresh")] = 200
_run(mw(_http_scope("/api/auth/refresh", method = "POST"), _noop_receive, _drop))
assert _paths_logged(logs) == ["/api/auth/refresh"]
# Now the same chat 401 is a real failure and logs.
_run(mw(_http_scope("/api/chat/threads"), _noop_receive, _drop))
assert _paths_logged(logs) == ["/api/auth/refresh", "/api/chat/threads"]
def test_export_status_error_still_logs(logs):
# 2xx suppressed, but an HTTP-level error on export status remains visible.
_run(
LoggingMiddleware(_status_app(200))(_http_scope("/api/export/status"), _noop_receive, _drop)
)
assert logs.events == []
_run(
LoggingMiddleware(_status_app(500))(_http_scope("/api/export/status"), _noop_receive, _drop)
)
assert _paths_logged(logs) == ["/api/export/status"]
def test_legacy_download_progress_heartbeats_not_suppressed(logs, monkeypatch):
# Legacy /api/models download polls emit no progress events, so they heartbeat
# (first hit logs, the burst collapses) rather than vanish entirely.
monkeypatch.setattr(hmod, "_ACCESS_LOG_DEDUP_MS", 0)
monkeypatch.setattr(hmod, "_QUIET_POLL_DEDUP_MS", 1000)
mw = LoggingMiddleware(_status_app(200))
for _ in range(3):
_run(mw(_http_scope("/api/models/download-progress"), _noop_receive, _drop))
assert _paths_logged(logs) == ["/api/models/download-progress"]