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FabledScribe/src/scribe/services/logging.py
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bvandeusenandClaude Fable 5 7d48eb0b1b
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refactor(services): one periodic-task shape, one APScheduler job shape, one token hash, one summary rule — the services pass of the shape audit (#2830, milestone 296)
- background.start_periodic(interval, work, label=) replaces the three hand-rolled
  while-True/sleep/try loops in logging, auth and notifications.
- services/scheduler.ScheduledJob replaces the four private BackgroundScheduler
  copies in recurrence/version_pinning/trash/db_maintenance schedulers; public
  start_/stop_/reschedule_ surfaces unchanged.
- api_keys.hash_token is the one sha256 helper; auth.py used to inline it 5x.
- auth.is_registration_open reads via settings.get_admin_setting; notification
  prefs read via settings.get_setting; _fire_share_email uses _get_user_email.
- projects.get_project_summary / milestones.get_project_milestone_summary are
  now the one-id view of their batch siblings instead of a second copy of the
  queries; sharing.best_permission_by (was _deduplicate_by_permission) is the
  one rank-dedup, now also used by list_projects_for_user.
- backup: the row builders for every section both exporters carry are named
  functions, so a column added to one export cannot silently miss the other.
- iso() from models.base replaces the attr.isoformat()-if-attr-else-None idiom
  and db_maintenance._iso across services; backup keeps its explicit shape.
- trash.py hoists the sql_delete/timedelta imports it re-imported per function.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-08-21 12:34:28 -04:00

208 lines
6.8 KiB
Python

"""Application logging service for audit, usage, and error events."""
import asyncio
import json
import logging
import traceback as tb_module
from datetime import datetime, timedelta, timezone
from sqlalchemy import delete, func, select, text
from scribe.config import Config
from scribe.models import async_session
from scribe.models.app_log import AppLog
logger = logging.getLogger(__name__)
_retention_task: asyncio.Task | None = None
async def log_audit(
action: str,
user_id: int | None = None,
username: str | None = None,
ip_address: str | None = None,
details: dict | None = None,
) -> None:
async with async_session() as session:
log = AppLog(
category="audit",
user_id=user_id,
username=username,
action=action,
ip_address=ip_address,
details=json.dumps(details) if details else None,
)
session.add(log)
await session.commit()
async def log_usage(
user_id: int | None = None,
username: str | None = None,
endpoint: str | None = None,
method: str | None = None,
status_code: int | None = None,
duration_ms: float | None = None,
) -> None:
async with async_session() as session:
log = AppLog(
category="usage",
user_id=user_id,
username=username,
endpoint=endpoint,
method=method,
status_code=status_code,
duration_ms=duration_ms,
)
session.add(log)
await session.commit()
async def log_error(
user_id: int | None = None,
username: str | None = None,
endpoint: str | None = None,
method: str | None = None,
error_type: str | None = None,
error_message: str | None = None,
traceback: str | None = None,
) -> None:
details = {}
if error_type:
details["error_type"] = error_type
if error_message:
details["error_message"] = error_message
if traceback:
details["traceback"] = traceback
async with async_session() as session:
log = AppLog(
category="error",
user_id=user_id,
username=username,
endpoint=endpoint,
method=method,
details=json.dumps(details) if details else None,
)
session.add(log)
await session.commit()
def parse_filter_datetime(value: str | None, *, end_of_day: bool = False) -> datetime | None:
"""An ISO date/datetime from a query string as an AWARE UTC datetime.
The admin log filters arrive as raw `request.args` strings and used to be
compared straight against `AppLog.created_at`. asyncpg binds a str as
VARCHAR and Postgres has no `timestamptz >= text` operator, so supplying
either date filter raised — the same defect as #1727 in notifications, in a
second place (#2254).
Returns None for anything unparseable: a malformed filter should narrow
nothing rather than 500 the log viewer.
`end_of_day` matters for the upper bound. A bare "2026-07-30" parses to
midnight, so `created_at <= that` would exclude the whole of the day the
user asked for — the one day they most likely wanted. With this flag a
date-only value is pushed to the last microsecond of that day; a value that
already carries a time is left exactly as given.
"""
raw = (value or "").strip()
if not raw:
return None
try:
parsed = datetime.fromisoformat(raw)
except ValueError:
return None
if end_of_day and len(raw) == 10: # date-only, no time component
parsed = parsed.replace(hour=23, minute=59, second=59, microsecond=999999)
if parsed.tzinfo is None:
parsed = parsed.replace(tzinfo=timezone.utc)
return parsed
async def get_logs(
category: str | None = None,
user_id: int | None = None,
search: str | None = None,
date_from: str | None = None,
date_to: str | None = None,
limit: int = 50,
offset: int = 0,
) -> tuple[list[dict], int]:
async with async_session() as session:
query = select(AppLog)
count_query = select(func.count(AppLog.id))
if category:
query = query.where(AppLog.category == category)
count_query = count_query.where(AppLog.category == category)
if user_id is not None:
query = query.where(AppLog.user_id == user_id)
count_query = count_query.where(AppLog.user_id == user_id)
if search:
pattern = f"%{search}%"
search_filter = (
AppLog.action.ilike(pattern)
| AppLog.endpoint.ilike(pattern)
| AppLog.username.ilike(pattern)
| AppLog.details.ilike(pattern)
)
query = query.where(search_filter)
count_query = count_query.where(search_filter)
start = parse_filter_datetime(date_from)
end = parse_filter_datetime(date_to, end_of_day=True)
if start:
query = query.where(AppLog.created_at >= start)
count_query = count_query.where(AppLog.created_at >= start)
if end:
query = query.where(AppLog.created_at <= end)
count_query = count_query.where(AppLog.created_at <= end)
total = (await session.execute(count_query)).scalar() or 0
query = query.order_by(AppLog.created_at.desc()).limit(limit).offset(offset)
result = await session.execute(query)
logs = [row.to_dict() for row in result.scalars().all()]
return logs, total
async def get_log_stats() -> dict:
async with async_session() as session:
result = await session.execute(
text(
"SELECT category, COUNT(*) as count FROM app_logs GROUP BY category"
)
)
stats = {row.category: row.count for row in result}
return {
"audit": stats.get("audit", 0),
"usage": stats.get("usage", 0),
"error": stats.get("error", 0),
"total": sum(stats.values()),
}
async def delete_old_logs(retention_days: int) -> int:
cutoff = datetime.now(timezone.utc) - timedelta(days=retention_days)
async with async_session() as session:
result = await session.execute(
delete(AppLog).where(AppLog.created_at < cutoff)
)
await session.commit()
return result.rowcount
async def _retention_tick() -> None:
deleted = await delete_old_logs(Config.LOG_RETENTION_DAYS)
if deleted:
logger.info("Log retention: deleted %d old log entries", deleted)
def start_log_retention_loop() -> None:
global _retention_task
if _retention_task is None or _retention_task.done():
from scribe.services.background import start_periodic
_retention_task = start_periodic(3600, _retention_tick, label="log_retention") # hourly