Files
siftlode/backend/app/logsink.py
T
peter 5883ea509d feat: Settings → Diagnostics, a consented log level and the tab's own log
A user can raise their diagnostics level to Részletes (DEBUG) or Teljes (TRACE) for 24 hours from a
new Settings tab, after a consent box that says what is recorded, that the server keeps it and for
how long (the instance's own retention), and that it lapses. Alap is the base and needs no consent.

- users.diagnostics_level/_until (migration 0087), written only by PUT /api/me/diagnostics, which
  computes the expiry itself; the demo account cannot raise it. /api/me reports the level in force.
- The server logs an elevated user's requests at that level and stores every line of them
  (logs.LevelGate on the stdout handler and the sink; the root is lowered only while an elevation
  is active). Teljes adds the redacted query string to the request line.
- POST /api/diagnostics/events stores the browser's log as source=web rows: account from the
  session, body capped while streaming, events/attrs capped, re-redacted, events under the
  consented level dropped, timestamps clamped, 30 batches a minute, 409 once the level lapsed.
- lib/diagnostics.ts applies the level to the tab and streams only what happens after consent, in
  batches, never its own request lines, with a keepalive flush on pagehide; stops on lapse (its
  own timer), on withdrawal and on 409.
- Detail hooks at DEBUG: which control was clicked (test id, icon, app copy in English — never user
  text, input values or a link's query), visibility/bfcache/resize, filter changes
  (lib/filterLog.ts; typed search only at TRACE), player events (lib/mediaLog.ts; media errors are
  warnings at every level). Offline/online at the base level.
- "Saját napló" viewer: live, newest first, level groups with counts, search, row details, copy
  the filtered events as JSON lines, clear.
- Privacy policy and Terms exist in Hungarian and English (a contract test holds both languages to
  the same sections); the policy now describes the server logs and diagnostic logging, self-service
  deletion and password sign-in.

Fixed on the way:
- A sync auth dependency ran logs.set_user on a copied context, so the account never reached a
  handler's own log lines (measured); a per-request mutable scope carries it now.
- The Settings tab rail left a phone no room (clipped labels, buttons over text): below `sm` it is
  a scrolling row above the content.
- PUT /api/me/preferences took a bare dict body; it is a Pydantic model now.
2026-09-17 02:42:12 +02:00

285 lines
11 KiB
Python
Raw Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
"""The `log_events` sink (E22 S3): the stored copy of the log the diagnostics console reads.
stdout stays the complete log (docker keeps 3×50 MB of it); this table keeps the part worth querying
for `log_retention_days`:
* every WARNING and above,
* the `http.request` line of every request at INFO or above (not the DEBUG-level health checks and
static files),
* every line of a request whose user raised their diagnostics level (E22 S5 — `logs.LevelGate`
marks them), which is the detail they consented to have kept,
* nothing a caller marked `extra={logs.PERSIST: False}` — how the request log caps anonymous
traffic per client.
What the table must never do is slow down or break the code that logs. So a line is redacted and
turned into a row on the CALLER's thread (the same `logs.record_fields` the stdout line is built
from), put on a bounded queue without blocking, and written in batches by one background thread
on its own connection — never inside a request's transaction. A full queue drops the row and
counts it; a failed write drops the batch and says so on stderr. Both are reported rather than
retried: a log that retries into a sick database is how a small outage becomes a big one.
Flood control is the second half. On 2026-09-16 a YouTube RSS outage made prod log 11k near-identical
warnings in four hours. stdout keeps them all; the table keeps `REPEATS_PER_MINUTE` of each message
template per minute and one `log.repeats_suppressed` row saying how many more there were.
Core layer: imports `logs`, `db`, `models`, `config` — nothing above them.
"""
import atexit
import json
import logging
import queue
import sys
import threading
import time
from datetime import datetime, timedelta, timezone
from typing import Any
from sqlalchemy import delete, insert
from sqlalchemy.engine import Engine
from sqlalchemy.orm import Session
from app import logs
from app.config import settings
from app.db import engine
from app.models import LogEvent
QUEUE_MAX = 10_000
BATCH_MAX = 500
FLUSH_SECONDS = 1.0
REPEATS_PER_MINUTE = 30
REPEAT_WINDOW_SECONDS = 60.0
# Distinct templates tracked per window. Past this many, a new template is stored without counting
# — the limiter must not become the unbounded thing it exists to prevent.
_REPEAT_KEYS_MAX = 2_000
# Column widths from models.LogEvent. A value past its column would fail the WHOLE batch it rides in.
_LIMITS = {
"level": 10,
"source": 16,
"logger": 128,
"event": 64,
"request_id": 64,
"debug_session_id": 64,
"version": 64,
"msg": 8_000,
"exc": 32_000,
}
_log = logging.getLogger("siftlode.logsink")
def should_store(record: logging.LogRecord) -> bool:
"""Whether this record belongs in `log_events` (see the module docstring)."""
if getattr(record, logs.PERSIST, True) is False:
return False
if record.levelno >= logging.WARNING or getattr(record, "elevated", False):
return True
return getattr(record, "event", None) == "http.request" and record.levelno >= logging.INFO
def to_row(fields: dict[str, Any]) -> dict[str, Any]:
"""`logs.record_fields` output → a `log_events` row: known columns only, text clipped to its
column, attrs made JSON-safe (anything exotic becomes its `str`, as on stdout)."""
row = {
column: fields.get(column) for column in LogEvent.__table__.columns.keys() if column != "id"
}
for column, limit in _LIMITS.items():
value = row.get(column)
if isinstance(value, str) and len(value) > limit:
row[column] = value[: limit - 1] + "…"
if row["attrs"] is not None:
row["attrs"] = json.loads(json.dumps(row["attrs"], ensure_ascii=False, default=str))
return row
def _notice(code: str, msg: str, **attrs: Any) -> dict[str, Any]:
"""A row the sink writes about ITSELF. Built directly, not logged: logging it would route it back
through this sink (and the writer thread's own records are deliberately ignored)."""
return to_row(
{
"ts": datetime.now(timezone.utc),
"level": "WARNING",
"sev": logs.SEVERITY["WARNING"],
"source": logs.current_source(),
"logger": _log.name,
"event": code,
"msg": msg,
"attrs": attrs,
"version": settings.app_version,
}
)
class _Repeats:
"""Per-template admission for one minute at a time. Used by the writer thread only (unlocked)."""
def __init__(self, per_window: int, window_seconds: float):
self.per_window = per_window
self.window = window_seconds
self.started = time.monotonic()
self.seen: dict[tuple[str, str, int], int] = {}
def admit(self, key: tuple[str, str, int] | None) -> bool:
if key is None:
return True
count = self.seen.get(key)
if count is None and len(self.seen) >= _REPEAT_KEYS_MAX:
return True
self.seen[key] = (count or 0) + 1
return self.seen[key] <= self.per_window
def roll(self, now: float) -> list[dict[str, Any]]:
"""Close the window if it is over: one notice per template that went past the limit."""
if now - self.started < self.window:
return []
notices = [
_notice(
"log.repeats_suppressed",
f"{count - self.per_window} more like this were not stored",
logger=logger,
template=logs.redact_text(template),
suppressed=count - self.per_window,
window_seconds=int(self.window),
)
for (logger, template, _level), count in self.seen.items()
if count > self.per_window
]
self.seen.clear()
self.started = now
return notices
class LogSink(logging.Handler):
"""The handler plus its writer. `start()` runs the writer thread; a test drives `write_pending()`
directly instead, on its own thread, with no timing involved."""
def __init__(self, bind: Engine = engine):
super().__init__(level=logging.NOTSET)
# Correlation fields are contextvars: capture them now, on the thread that logged.
self.addFilter(logs.ContextFilter())
self._bind = bind
self._queue: queue.Queue[tuple[tuple[str, str, int] | None, dict[str, Any]]] = queue.Queue(
QUEUE_MAX
)
self._dropped = 0
self._dropped_lock = threading.Lock()
self._repeats = _Repeats(REPEATS_PER_MINUTE, REPEAT_WINDOW_SECONDS)
self._stopping = threading.Event()
self._writer: threading.Thread | None = None
# --- caller side ---------------------------------------------------------------------------
def emit(self, record: logging.LogRecord) -> None:
if threading.current_thread() is self._writer:
return # the writer's own trouble (a driver warning mid-insert) must not feed itself
if not should_store(record):
return
try:
row = to_row(logs.record_fields(record))
except Exception: # noqa: BLE001 — a record we cannot turn into a row is reported, not raised
self.handleError(record)
return
# Request lines are one per request by nature; only the repeated SAME message is a flood.
key = (
None
if row["event"] == "http.request"
else (record.name, str(record.msg), record.levelno)
)
try:
self._queue.put_nowait((key, row))
except queue.Full:
with self._dropped_lock:
self._dropped += 1
# --- writer side ---------------------------------------------------------------------------
def write_pending(self, wait: float = 0.0) -> int:
"""Write one batch: whatever is queued (up to BATCH_MAX), waiting up to `wait` seconds for the
first item. Returns the number of rows written, notices included."""
rows: list[dict[str, Any]] = []
try:
item = self._queue.get(timeout=wait) if wait > 0 else self._queue.get_nowait()
except queue.Empty:
item = None
while item is not None:
key, row = item
if self._repeats.admit(key):
rows.append(row)
if len(rows) >= BATCH_MAX:
break
try:
item = self._queue.get_nowait()
except queue.Empty:
item = None
rows.extend(self._repeats.roll(time.monotonic()))
with self._dropped_lock:
dropped, self._dropped = self._dropped, 0
if dropped:
rows.append(
_notice("log.sink.dropped", f"{dropped} log events were dropped", dropped=dropped)
)
if not rows:
return 0
try:
with self._bind.begin() as conn:
conn.execute(insert(LogEvent), rows)
except Exception as exc: # noqa: BLE001 — the database is down or refused the batch
print(
f"log sink: could not store {len(rows)} log events: {logs.redact_text(str(exc))[:300]}",
file=sys.stderr,
)
return 0
return len(rows)
def _run(self) -> None:
while not self._stopping.is_set():
self.write_pending(wait=FLUSH_SECONDS)
while self.write_pending(): # drain what arrived before the stop
pass
def start(self) -> None:
self._writer = threading.Thread(target=self._run, name="log-sink", daemon=True)
self._writer.start()
def stop(self, timeout: float = 5.0) -> None:
self._stopping.set()
if self._writer is not None:
self._writer.join(timeout)
_sink: LogSink | None = None
def start() -> None:
"""Attach the sink to the root logger and start its writer. Call after `logs.configure_logging`
(which replaces the root handlers) and once the schema exists. A no-op when `LOG_DB_SINK` is off
or it is already running."""
global _sink
if _sink is not None or not settings.log_db_sink:
return
_sink = LogSink()
# The same level gate as stdout: the root may be lowered for one user's elevated requests, and
# everyone else's detail must not reach the table through that gap either.
_sink.addFilter(logs.LevelGate())
logging.getLogger().addHandler(_sink)
_sink.start()
# A short-lived process (the download child) exits without a lifespan: flush on the way out.
atexit.register(stop)
def stop() -> None:
"""Detach the sink and write what is still queued."""
global _sink
if _sink is None:
return
logging.getLogger().removeHandler(_sink)
_sink.stop()
_sink = None
def gc(db: Session, retention_days: int) -> int:
"""Stage the deletion of rows older than `retention_days` (at least one day — stored logs always
expire). The caller commits. Returns the number of rows removed."""
cutoff = datetime.now(timezone.utc) - timedelta(days=max(1, retention_days))
result = db.execute(delete(LogEvent).where(LogEvent.ts < cutoff))
return result.rowcount or 0