Files
clownfischserver/bot/audit_query.py
T
root f2fdf95897 v0.5.0: Add RBAC auth, LLM router, audit logging, output sanitization
- New: auth.py – Role-based access (operator/approver/viewer)
- New: llm_router.py – Configurable primary/fallback provider chain
- New: audit_log.py + audit_query.py – DSGVO-compliant audit trail
- New: sanitize_output() – masks secrets in bot responses
- Updated: bot.py – Integrated auth guards, router, audit logging
- Updated: ollama_client.py – Router-compatible interface
- Updated: CLOWNFISCHSERVER.md – Documentation updated
- Updated: README.md – Documentation updated
2026-06-26 20:41:35 +02:00

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#!/usr/bin/env python3
"""
🐠 Clownfischserver – Audit Trail Query (Phase 2b)
Author: Mehlzoerwer-Claude (https://github.com/mehlzoerwer-claude)
License: GPL-3.0
Read-side companion to audit_log.py. Filters/sorts JSONL audit records for
the `/logs` admin command.
The query layer is intentionally separate from the writer so that:
- Tests can exercise filtering without touching real audit data.
- The writer stays append-only and minimal.
- Future query backends (SQLite, OpenSearch) can swap in without touching
the writer.
"""
from __future__ import annotations
import json
import logging
import os
from datetime import datetime, timezone, timedelta
from typing import Any, Iterable
logger = logging.getLogger(__name__)
def _default_audit_path() -> str:
install_dir = os.getenv("INSTALL_DIR", "/opt/clownfischserver")
return os.getenv("AUDIT_LOG_PATH", os.path.join(install_dir, "audit.jsonl"))
def _parse_ts(record: dict) -> datetime | None:
"""Best-effort parse of the record's ts field. Returns None on
malformed timestamps (caller decides how to handle)."""
ts = record.get("ts")
if not isinstance(ts, str):
return None
try:
return datetime.fromisoformat(ts.replace("Z", "+00:00"))
except ValueError:
return None
def read_all(path: str | None = None) -> list[dict]:
"""Load every audit record from the JSONL file. Malformed lines are
skipped with a debug log (the writer keeps them for forensic purposes,
but the query layer prefers a clean result set)."""
target = path or _default_audit_path()
if not os.path.exists(target):
return []
out: list[dict] = []
try:
with open(target, "r", encoding="utf-8") as fh:
for line in fh:
line = line.strip()
if not line:
continue
try:
out.append(json.loads(line))
except json.JSONDecodeError:
logger.debug(f"audit_query: skipping malformed line")
continue
except OSError as e:
logger.error(f"audit_query: cannot read {target}: {e}")
return []
return out
def filter_records(
records: Iterable[dict],
*,
user_id: str | int | None = None,
action: str | None = None,
action_prefix: str | None = None,
result: str | None = None,
since: datetime | None = None,
until: datetime | None = None,
) -> list[dict]:
"""Apply filters and return matching records, newest first.
Filters are AND-combined. None values are ignored. action/result match
exactly; action_prefix matches if the record's action starts with it.
"""
target_user = str(user_id) if user_id is not None else None
matched: list[dict] = []
for rec in records:
if target_user is not None and rec.get("user_id") != target_user:
continue
if action is not None and rec.get("action") != action:
continue
if action_prefix is not None:
rec_action = rec.get("action", "")
if not isinstance(rec_action, str) or not rec_action.startswith(action_prefix):
continue
if result is not None and rec.get("result") != result:
continue
if since is not None or until is not None:
dt = _parse_ts(rec)
if dt is None:
# Malformed ts – exclude when caller asked for a date window.
continue
if since is not None and dt < since:
continue
if until is not None and dt > until:
continue
matched.append(rec)
# Newest first – stable sort by ts (records without ts go to the bottom).
matched.sort(key=lambda r: r.get("ts", ""), reverse=True)
return matched
def query(
*,
user_id: str | int | None = None,
action: str | None = None,
action_prefix: str | None = None,
result: str | None = None,
days: int | None = None,
limit: int = 20,
path: str | None = None,
) -> list[dict]:
"""Convenience wrapper: read + filter in one call.
`days` is a shortcut for `since = now - days`. limit clamps the
returned record count (use limit=0 for no limit)."""
since = None
if days is not None and days > 0:
since = datetime.now(timezone.utc) - timedelta(days=days)
records = read_all(path=path)
matched = filter_records(
records,
user_id=user_id,
action=action,
action_prefix=action_prefix,
result=result,
since=since,
)
if limit and limit > 0:
matched = matched[:limit]
return matched
def format_record(rec: dict) -> str:
"""Render one audit record as a single compact line for Telegram."""
ts = rec.get("ts", "?")
# Trim ts down to HH:MM:SS or YYYY-MM-DD HH:MM:SS for readability.
if isinstance(ts, str) and len(ts) >= 19:
ts_short = ts[:19].replace("T", " ")
else:
ts_short = str(ts)
uid = rec.get("user_id") or "—"
action = rec.get("action", "?")
result = rec.get("result", "?")
role = rec.get("role")
role_part = f" [{role}]" if role else ""
details = rec.get("details") or {}
detail_str = ""
if isinstance(details, dict):
# Pick the single most-informative key per common action.
for key in ("command", "task", "reason", "snapshot", "method", "tier"):
if key in details:
val = str(details[key])
if len(val) > 80:
val = val[:77] + "..."
detail_str = f" {val}"
break
return f"{ts_short} {uid}{role_part} {action}={result}{detail_str}"
def summarize(records: list[dict]) -> dict[str, Any]:
"""Aggregate counts useful for the /logs header."""
by_action: dict[str, int] = {}
by_user: dict[str, int] = {}
by_result: dict[str, int] = {}
for r in records:
act = r.get("action", "?")
by_action[act] = by_action.get(act, 0) + 1
uid = r.get("user_id") or "—"
by_user[uid] = by_user.get(uid, 0) + 1
res = r.get("result", "?")
by_result[res] = by_result.get(res, 0) + 1
return {"total": len(records), "by_action": by_action,
"by_user": by_user, "by_result": by_result}