feat(audit): JSONL audit log for support diagnostics
New ``src/audit.py`` module records GUI actions to a per-session
JSONL file under ``~/.datatools/logs/`` (overrideable via
``DATATOOLS_AUDIT_DIR``). The file is human-readable (one JSON
object per line, each with a ``message`` field) AND trivially
machine-parseable — the support flow is "client mails the file,
we read it and explain what went wrong."
Format example::
{"ts":"2026-05-17T05:30:00.123+00:00","level":"info","category":"session",
"session":"a1b2c3d4","message":"Session started",
"platform":"Windows 11","python":"3.14.0","user":"Michael Dombaugh",
"log_file":"C:\\Users\\Michael Dombaugh\\.datatools\\logs\\datatools-...jsonl"}
{"ts":"...","category":"upload","message":"Uploaded customers.csv",
"filename":"customers.csv","bytes":24813}
{"ts":"...","category":"analyze","message":"Analyzed customers.csv (3 findings)",
"filename":"customers.csv","findings":3,"rows":120,"cols":8}
{"ts":"...","category":"tool_run","message":"Clean Text run",
"page":"2_Text_Cleaner"}
{"ts":"...","category":"error","level":"error",
"message":"analyze(weird.csv): EmptyDataError: No columns to parse",
"filename":"weird.csv","outcome":"empty_after_repair"}
Public API:
- ``log_event(category, message, **extra)``
- ``log_session_start()`` — idempotent banner with platform info
- ``log_page_open(slug)`` — emit a ``nav`` event, deduplicated per
Streamlit session so reruns don't spam the log
- ``log_exception(where, exc, **extra)`` — convenience wrapper
- ``audit_log_path()`` / ``audit_log_dir()`` — for the UI
Wired in at:
- ``hide_streamlit_chrome``: stamps session start, mounts a small
"🩺 Diagnostics" expander in the sidebar with the log path and
an "Open log folder" button so the user can grab the file to
attach to a support email.
- Home page: ``upload`` event on every new file, ``upload`` event
on per-file remove, ``analyze`` event with file count when
Run-analysis fires.
- ``_run_analysis_on_upload``: ``analyze`` event with rows / cols /
findings count per file, plus ``error`` events on every caught
exception (empty upload, empty after repair, pandas EmptyDataError,
generic Exception).
- Every Ready tool page (1, 2, 3, 4, 5, 9): ``tool_run`` event
immediately after the primary action stashes its result.
- Every tool page (1-9): ``log_page_open(slug)`` on render — deduped
via session state so we don't get one event per Streamlit rerun.
Safety:
- ``log_event`` wraps every write in try/except. A broken audit
log must NOT crash the GUI.
- Non-JSON-serializable extras are ``str()``-coerced before writing.
- File CONTENTS are never logged. We capture filename, byte count,
and (in the analyzer) a 12-char sha1 fingerprint of the bytes so
the same file re-uploaded gets the same trace.
- License keys, session cookies, etc. are not logged.
- ``DATATOOLS_AUDIT_DIR`` env var lets tests redirect writes into a
tmp dir.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
227
src/audit.py
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227
src/audit.py
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@@ -0,0 +1,227 @@
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"""Audit log — records GUI actions for support diagnostics.
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A client running DataTools who hits a bug should be able to grab one
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file off disk, mail it to support, and have us reconstruct what they
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were doing when things broke. That file is the audit log written by
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this module.
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Design choices:
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- **JSONL**, one event per line. Each line is a valid JSON object; the
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whole file is grep-friendly, ``jq``-friendly, and still readable in
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Notepad / TextEdit if no tooling is available. Each event carries a
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human-readable ``message`` field so the file is useful even without
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any tooling.
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- **One file per session**, named ``datatools-<utc-timestamp>-<id>.jsonl``.
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Multiple sessions on the same machine don't clobber each other, and
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the filename sorts chronologically.
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- **Default location**: ``~/.datatools/logs/`` on every platform.
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Overrideable via the ``DATATOOLS_AUDIT_DIR`` environment variable —
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used by tests to redirect writes into a tmp dir.
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- **Never crashes the app**. Every write is wrapped in a try/except;
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a broken audit log must not take down the GUI.
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- **No PII bytes**: file CONTENTS are never logged. We log the
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filename, byte size, and a short content hash so the same file
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re-uploaded gets the same fingerprint, but the actual bytes stay
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local.
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Public API:
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- ``log_event(category, message, **extra)`` — write one event.
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- ``log_session_start()`` — emit a session-start record with platform
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info. Idempotent within a single session.
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- ``audit_log_path()`` — return the path to the current session's file
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so the GUI can show it to the user.
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- ``audit_log_dir()`` — return the directory holding all session logs.
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"""
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from __future__ import annotations
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import getpass
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import json
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import os
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import platform
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import sys
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import threading
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import uuid
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from datetime import datetime, timezone
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from pathlib import Path
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from typing import Any
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# Module-level cache for per-session state. Streamlit reruns the script
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# many times per session but the module is imported once, so these
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# survive across reruns within the same Python process.
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_LOCK = threading.Lock()
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_LOG_PATH: Path | None = None
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_SESSION_ID: str | None = None
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_SESSION_STARTED: bool = False
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def audit_log_dir() -> Path:
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"""Return the directory where audit logs are written.
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Defaults to ``~/.datatools/logs/``. Overrideable via the
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``DATATOOLS_AUDIT_DIR`` environment variable so tests can redirect
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writes into ``tmp_path``.
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"""
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override = os.environ.get("DATATOOLS_AUDIT_DIR")
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if override:
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return Path(override)
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return Path.home() / ".datatools" / "logs"
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def _session_id() -> str:
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global _SESSION_ID
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with _LOCK:
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if _SESSION_ID is None:
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_SESSION_ID = uuid.uuid4().hex
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return _SESSION_ID
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def audit_log_path() -> Path:
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"""Return this session's log file path.
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The path is created the first time it's queried so each Python
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process gets a single file regardless of how many Streamlit
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reruns happen.
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"""
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global _LOG_PATH
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with _LOCK:
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if _LOG_PATH is None:
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ts = datetime.now(tz=timezone.utc).strftime("%Y%m%dT%H%M%SZ")
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sid = _session_id()[:8]
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d = audit_log_dir()
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try:
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d.mkdir(parents=True, exist_ok=True)
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except Exception:
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# If we can't create the dir, fall back to a tmpdir
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# location so we never crash the app for the audit
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# log's sake.
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import tempfile
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d = Path(tempfile.gettempdir()) / "datatools-logs"
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d.mkdir(parents=True, exist_ok=True)
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_LOG_PATH = d / f"datatools-{ts}-{sid}.jsonl"
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return _LOG_PATH
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def log_event(
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category: str,
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message: str,
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*,
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level: str = "info",
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**extra: Any,
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) -> None:
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"""Append one event to the session log.
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``category`` groups related events (e.g. ``upload``, ``analyze``,
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``tool_run``, ``error``, ``nav``). ``message`` is the human
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sentence that lands in the file. ``extra`` keys are passed through
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to the JSON object verbatim, so callers can attach structured
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context (filename, byte counts, finding counts, timings).
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Failures are swallowed silently — a broken audit log must not
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take the GUI down.
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"""
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try:
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event = {
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"ts": datetime.now(tz=timezone.utc).isoformat(timespec="milliseconds"),
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"level": level,
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"category": category,
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"session": _session_id()[:8],
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"message": message,
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}
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# Attach extras with serialization safety: non-JSON values get
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# str()'d so a bad caller can't poison the whole entry.
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for k, v in extra.items():
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try:
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json.dumps(v)
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event[k] = v
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except (TypeError, ValueError):
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event[k] = str(v)
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with audit_log_path().open("a", encoding="utf-8") as f:
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f.write(json.dumps(event, ensure_ascii=False) + "\n")
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except Exception:
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# Last-ditch silent swallow. Diagnostics is best-effort.
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pass
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def log_session_start() -> None:
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"""Write the session-start banner. Idempotent within one process."""
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global _SESSION_STARTED
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with _LOCK:
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if _SESSION_STARTED:
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return
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_SESSION_STARTED = True
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# Best-effort metadata. Failures don't propagate.
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try:
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user = getpass.getuser()
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except Exception:
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user = "?"
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try:
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cwd = str(Path.cwd())
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except Exception:
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cwd = "?"
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log_event(
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"session",
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"Session started",
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platform=f"{platform.system()} {platform.release()}",
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python=sys.version.split()[0],
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user=user,
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cwd=cwd,
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log_file=str(audit_log_path()),
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)
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def log_exception(where: str, exc: BaseException, **extra: Any) -> None:
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"""Convenience wrapper for caught exceptions."""
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log_event(
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"error",
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f"{where}: {type(exc).__name__}: {exc}",
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level="error",
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exc_type=type(exc).__name__,
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exc_message=str(exc),
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**extra,
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)
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def log_page_open(slug: str) -> None:
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"""Emit a "page open" event, deduplicated within a session.
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Streamlit reruns the script many times per page (every widget
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interaction triggers a rerun). Tracking the last page the user
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visited in session state lets us emit a single ``nav`` event when
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they actually switch pages, not one per rerun. Falls back to
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always-emit when session state is unreachable (running outside
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Streamlit, e.g. in tests).
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"""
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try:
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import streamlit as st
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prev = st.session_state.get("_audit_current_page")
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if prev == slug:
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return
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st.session_state["_audit_current_page"] = slug
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except Exception:
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pass
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log_event("nav", f"Opened {slug}", page=slug)
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def reset_for_tests() -> None:
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"""Reset module-level state. Test-only — call from a pytest fixture
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when isolation between tests matters."""
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global _LOG_PATH, _SESSION_ID, _SESSION_STARTED
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with _LOCK:
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_LOG_PATH = None
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_SESSION_ID = None
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_SESSION_STARTED = False
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__all__ = [
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"audit_log_dir",
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"audit_log_path",
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"log_event",
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"log_exception",
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"log_page_open",
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"log_session_start",
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"reset_for_tests",
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]
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@@ -86,6 +86,7 @@ def _home_page() -> None:
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help=t("upload.uploader_help"),
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)
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if new_files:
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from src.audit import log_event
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changed = False
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for f in new_files:
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if f.name not in home_uploads:
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@@ -94,6 +95,12 @@ def _home_page() -> None:
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"size": f.size,
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}
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changed = True
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log_event(
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"upload",
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f"Uploaded {f.name}",
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filename=f.name,
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bytes=f.size,
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)
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if changed:
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st.session_state["home_uploads"] = home_uploads
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@@ -139,6 +146,12 @@ def _home_page() -> None:
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to_remove = name
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if to_remove is not None:
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from src.audit import log_event
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log_event(
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"upload",
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f"Removed {to_remove}",
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filename=to_remove,
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)
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del home_uploads[to_remove]
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# Drop any findings/results tied to the removed file.
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findings_by_file_drop = st.session_state.get(
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@@ -209,6 +222,12 @@ def _home_page() -> None:
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st.rerun()
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if run_clicked:
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from src.audit import log_event
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log_event(
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"analyze",
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f"Run analysis clicked on {len(pending)} file(s)",
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files=list(pending),
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)
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progress = st.progress(0.0, text=t("upload.scanning"))
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for i, name in enumerate(pending, start=1):
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stashed = _StashedUpload(name, home_uploads[name]["bytes"])
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@@ -155,6 +155,10 @@ def hide_streamlit_chrome(*, gate_license: bool = True) -> None:
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can render its own form without recursion.
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"""
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st.markdown(_HIDE_CHROME_CSS, unsafe_allow_html=True)
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# Stamp a session-start record into the audit log the first time
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# any page renders. Idempotent — subsequent calls are no-ops.
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from src.audit import log_session_start
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log_session_start()
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# Production-safe check runs first so a misconfigured shipped
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# build refuses to render anything (rather than rendering a
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# broken activation form that doesn't accept real blobs).
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@@ -172,10 +176,39 @@ def hide_streamlit_chrome(*, gate_license: bool = True) -> None:
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require_license_or_render_activation,
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)
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render_license_status_sidebar()
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_render_diagnostics_sidebar()
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if gate_license:
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require_license_or_render_activation()
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def _render_diagnostics_sidebar() -> None:
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"""Render a small Diagnostics expander in the sidebar.
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Shows the path to the current session's audit log and an "Open
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folder" button. Lives behind an expander so it doesn't take
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screen space until the user opens it; the support flow is
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"client mails us the file, we tell them what went wrong."
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"""
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from src.audit import audit_log_dir, audit_log_path
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log_path = audit_log_path()
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with st.sidebar:
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with st.expander("🩺 Diagnostics", expanded=False):
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st.caption("Audit log for this session:")
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st.code(str(log_path), language=None)
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if st.button(
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"📂 Open log folder",
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key="_diag_open_logs",
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type="secondary",
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use_container_width=True,
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):
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opened = _open_in_file_manager(audit_log_dir(), select=log_path)
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if not opened:
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st.warning(
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"Could not open the file manager from here. "
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"Path is above — paste it into your file manager."
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)
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# ---------------------------------------------------------------------------
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# Clean shutdown
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# ---------------------------------------------------------------------------
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@@ -1669,6 +1702,8 @@ def _run_analysis_on_upload(uploaded):
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one of several uploaded files) should yield a clean red banner for
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that file, not kill the whole multi-file analysis run.
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"""
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import hashlib
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from src.audit import log_event, log_exception
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from src.core.analyze import Finding, analyze
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from src.core.errors import format_for_user
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from src.core.io import repair_bytes
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@@ -1676,6 +1711,18 @@ def _run_analysis_on_upload(uploaded):
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name = uploaded.name
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data = uploaded.getvalue()
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suffix = name.rsplit(".", 1)[-1].lower() if "." in name else ""
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digest = hashlib.sha1(
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data, usedforsecurity=False,
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).hexdigest()[:12] if data else "empty"
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log_event(
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"analyze",
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f"Analyzing {name}",
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filename=name,
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bytes=len(data),
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sha1_12=digest,
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suffix=suffix,
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)
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def _error_finding(description: str, fid: str = "analysis_failed") -> list[Finding]:
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return [Finding(
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@@ -1689,6 +1736,13 @@ def _run_analysis_on_upload(uploaded):
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)]
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if not data:
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log_event(
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"analyze",
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f"Skipping {name} — 0 bytes",
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level="warn",
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filename=name,
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outcome="empty_upload",
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)
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return _error_finding(
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f"`{name}` is empty (0 bytes). Please re-upload — the bytes "
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f"may not have transferred correctly from your browser.",
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@@ -1698,7 +1752,17 @@ def _run_analysis_on_upload(uploaded):
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try:
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if suffix in ("xlsx", "xls"):
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df = pd.read_excel(io.BytesIO(data), dtype=str, keep_default_na=False)
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return analyze(df)
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findings = analyze(df)
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log_event(
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"analyze",
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f"Analyzed {name} ({len(findings)} findings)",
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filename=name,
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bytes=len(data),
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sha1_12=digest,
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findings=len(findings),
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rows=len(df), cols=len(df.columns),
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)
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return findings
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# CSV / TSV: run repair_bytes so the user sees csv_* findings.
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text_head = data[:4096].decode("utf-8", errors="replace")
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@@ -1710,6 +1774,13 @@ def _run_analysis_on_upload(uploaded):
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break
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repair = repair_bytes(data, encoding="utf-8", delimiter=delim)
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if not repair.repaired_bytes:
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log_event(
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"analyze",
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f"Skipping {name} — empty after repair",
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level="warn",
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filename=name,
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outcome="empty_after_repair",
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)
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return _error_finding(
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f"`{name}` is empty after pre-parse repair "
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f"(original was {len(data)} bytes — likely all NUL "
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@@ -1723,8 +1794,25 @@ def _run_analysis_on_upload(uploaded):
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encoding="utf-8", delimiter=delim,
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dtype=str, keep_default_na=False, on_bad_lines="warn",
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)
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return analyze(df, repair_result=repair)
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except pd.errors.EmptyDataError:
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findings = analyze(df, repair_result=repair)
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log_event(
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"analyze",
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f"Analyzed {name} ({len(findings)} findings)",
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filename=name,
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bytes=len(data),
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sha1_12=digest,
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findings=len(findings),
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rows=len(df), cols=len(df.columns),
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delimiter=repr(delim),
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)
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return findings
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except pd.errors.EmptyDataError as e:
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log_exception(
|
||||
f"analyze({name})",
|
||||
e,
|
||||
filename=name,
|
||||
outcome="empty_after_repair",
|
||||
)
|
||||
return _error_finding(
|
||||
f"`{name}` could not be parsed — pandas reports no columns "
|
||||
f"in the file. Original size was {len(data)} bytes. Open "
|
||||
@@ -1733,6 +1821,12 @@ def _run_analysis_on_upload(uploaded):
|
||||
fid="empty_after_repair",
|
||||
)
|
||||
except Exception as e:
|
||||
log_exception(
|
||||
f"analyze({name})",
|
||||
e,
|
||||
filename=name,
|
||||
outcome="analysis_failed",
|
||||
)
|
||||
return _error_finding(
|
||||
f"`{name}` could not be analyzed: {format_for_user(e)}",
|
||||
)
|
||||
|
||||
@@ -33,6 +33,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("1_Deduplicator")
|
||||
require_feature_or_render_upgrade(FeatureFlag.DEDUPLICATOR)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
@@ -231,6 +233,8 @@ if uploaded is not None:
|
||||
|
||||
progress_bar.empty()
|
||||
st.session_state["result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Find Duplicates run", page="1_Deduplicator")
|
||||
st.session_state["review_decisions"] = {}
|
||||
# One-shot flag for the scroll snippet at the bottom of the
|
||||
# page. Force a rerun so the Preview / Options expanders see
|
||||
|
||||
@@ -35,6 +35,8 @@ from src.core.text_clean import (
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("2_Text_Cleaner")
|
||||
require_feature_or_render_upgrade(FeatureFlag.TEXT_CLEANER)
|
||||
|
||||
|
||||
@@ -218,6 +220,8 @@ if st.button("Clean Text", type="primary", use_container_width=True):
|
||||
st.error(str(e))
|
||||
st.stop()
|
||||
st.session_state["textclean_result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Clean Text run", page="2_Text_Cleaner")
|
||||
st.session_state["textclean_input_name"] = uploaded.name
|
||||
# One-shot flag picked up on the next pass to scroll the parent
|
||||
# document to the Results anchor (see scroll snippet below).
|
||||
|
||||
@@ -33,6 +33,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("3_Format_Standardizer")
|
||||
require_feature_or_render_upgrade(FeatureFlag.FORMAT_STANDARDIZER)
|
||||
|
||||
|
||||
@@ -537,6 +539,8 @@ if st.button(
|
||||
st.error(str(e))
|
||||
st.stop()
|
||||
st.session_state["fmtstd_result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Standardize Formats run", page="3_Format_Standardizer")
|
||||
st.session_state["fmtstd_input_name"] = uploaded.name
|
||||
# One-shot flag picked up on the next pass to scroll the parent
|
||||
# document to the Results anchor (see scroll snippet below).
|
||||
|
||||
@@ -34,6 +34,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("4_Missing_Values")
|
||||
require_feature_or_render_upgrade(FeatureFlag.MISSING_HANDLER)
|
||||
|
||||
|
||||
@@ -291,6 +293,8 @@ if st.button("Handle Missing Values", type="primary", use_container_width=True):
|
||||
st.error(format_for_user(e))
|
||||
st.stop()
|
||||
st.session_state["missing_result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Fix Missing Values run", page="4_Missing_Values")
|
||||
st.session_state["missing_input_name"] = uploaded.name
|
||||
st.session_state["missing_options"] = options.to_dict()
|
||||
# One-shot flag picked up on the next pass to scroll the parent
|
||||
|
||||
@@ -35,6 +35,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("5_Column_Mapper")
|
||||
require_feature_or_render_upgrade(FeatureFlag.COLUMN_MAPPER)
|
||||
|
||||
|
||||
@@ -338,6 +340,8 @@ if st.button("Apply Column Mapping", type="primary", use_container_width=True):
|
||||
st.error(format_for_user(e))
|
||||
st.stop()
|
||||
st.session_state["colmap_result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Map Columns run", page="5_Column_Mapper")
|
||||
st.session_state["colmap_input_name"] = uploaded.name
|
||||
st.session_state["colmap_options"] = options.to_dict()
|
||||
# One-shot flag picked up on the next pass to scroll the parent
|
||||
|
||||
@@ -22,6 +22,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("6_Outlier_Detector")
|
||||
require_feature_or_render_upgrade(FeatureFlag.OUTLIER_DETECTOR)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -22,6 +22,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("7_Multi_File_Merger")
|
||||
require_feature_or_render_upgrade(FeatureFlag.MULTI_FILE_MERGER)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -22,6 +22,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("8_Validator_Reporter")
|
||||
require_feature_or_render_upgrade(FeatureFlag.VALIDATOR_REPORTER)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
@@ -36,6 +36,8 @@ from src.license import FeatureFlag
|
||||
|
||||
hide_streamlit_chrome()
|
||||
render_sticky_footer()
|
||||
from src.audit import log_page_open
|
||||
log_page_open("9_Pipeline_Runner")
|
||||
require_feature_or_render_upgrade(FeatureFlag.PIPELINE_RUNNER)
|
||||
|
||||
|
||||
@@ -283,6 +285,8 @@ if st.button(
|
||||
|
||||
progress.progress(1.0, text="Done")
|
||||
st.session_state["pipeline_result"] = result
|
||||
from src.audit import log_event
|
||||
log_event("tool_run", "Automated Workflows run", page="9_Pipeline_Runner")
|
||||
st.session_state["pipeline_input_name"] = uploaded.name
|
||||
# One-shot flag picked up on the next pass to scroll the parent
|
||||
# document to the Results anchor (see scroll snippet at end of file).
|
||||
|
||||
Reference in New Issue
Block a user