Renames the app/ingest/ package to app/glean/ and updates all references across Python modules, shell scripts, Vue components, tests, and documentation. Intentionally preserved: - SQLite column name ingest_time (avoids schema migration) - RetrievedEntry.ingest_time field (maps to the column above) - Any public-facing JSON keys that reference ingest_time Changes by category: - app/ingest/ → app/glean/ (full package move, all parsers) - app/tasks/ingest_scheduler.py → app/tasks/glean_scheduler.py - scripts/ingest_corpus.py → scripts/glean_corpus.py - tests/test_ingest_*.py → tests/test_glean_*.py - Docstrings, log messages, comments: ingest → glean - Env var: TURNSTONE_INGEST_INTERVAL → TURNSTONE_GLEAN_INTERVAL - Shell scripts: glean.log, glean_corpus.py references - README.md: multi-source ingest → multi-source glean - .env.example: updated env var name - patterns/: new diagnostic patterns from 2026-05-20 SSH incident (service_crash_loop, pkg_daemon_restart, ssh_forward_conflict) - SourcesView.vue: pipeline label updated - All test import paths updated to app.glean.* 285 tests passing.
102 lines
3.1 KiB
Python
102 lines
3.1 KiB
Python
"""dmesg log parser.
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Handles two formats:
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Relative (always available):
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[ 0.000000] Linux version 6.8.0-65-generic
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[12345.678901] usb 1-1: USB disconnect, device number 2
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Human-readable (dmesg -T, util-linux >= 2.21):
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[Mon May 11 14:23:01 2026] usb 1-1: USB disconnect, device number 2
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The export_journal.sh script exports with -T when available, falling back
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to plain dmesg. Relative-timestamp entries get no timestamp_iso.
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"""
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from __future__ import annotations
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import re
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from datetime import datetime, timezone
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from typing import Iterator
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from app.glean.base import (
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SourceState, apply_patterns, detect_severity, make_entry_id, now_iso,
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)
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from app.services.models import LogPattern, RetrievedEntry
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_DAYS = {"Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"}
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_MONTHS_ABBR = {
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"Jan": 1, "Feb": 2, "Mar": 3, "Apr": 4, "May": 5, "Jun": 6,
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"Jul": 7, "Aug": 8, "Sep": 9, "Oct": 10, "Nov": 11, "Dec": 12,
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}
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# [ 0.000000] or [12345.678901]
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_RELATIVE_RE = re.compile(r"^\[\s*(?P<secs>\d+\.\d+)\]\s+(?P<msg>.+)$")
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# [Mon May 11 14:23:01 2026]
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_HUMAN_RE = re.compile(
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r"^\[(?P<dow>\w{3})\s+(?P<month>\w{3})\s+(?P<day>\d{1,2})"
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r"\s+(?P<time>\d{2}:\d{2}:\d{2})\s+(?P<year>\d{4})\]\s+(?P<msg>.+)$"
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)
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def is_dmesg_log(first_line: str) -> bool:
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line = first_line.strip()
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return bool(_RELATIVE_RE.match(line) or _HUMAN_RE.match(line))
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def _parse_human_ts(m: re.Match) -> tuple[str, str]:
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ts_raw = f"{m.group('dow')} {m.group('month')} {m.group('day')} {m.group('time')} {m.group('year')}"
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month = _MONTHS_ABBR.get(m.group("month"), 1)
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try:
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dt = datetime(
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int(m.group("year")), month, int(m.group("day")),
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*[int(p) for p in m.group("time").split(":")],
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tzinfo=timezone.utc,
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)
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return ts_raw, dt.isoformat()
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except ValueError:
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return ts_raw, ""
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def parse(
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lines: Iterator[str],
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source_id: str,
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compiled_patterns: list[tuple[LogPattern, object]],
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ingest_time: str | None = None,
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) -> Iterator[RetrievedEntry]:
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ingest_time = ingest_time or now_iso()
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state = SourceState()
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for raw_line in lines:
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line = raw_line.rstrip("\n").strip()
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if not line:
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continue
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m = _HUMAN_RE.match(line)
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if m:
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ts_raw, ts_iso = _parse_human_ts(m)
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msg = m.group("msg")
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else:
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m = _RELATIVE_RE.match(line)
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if not m:
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continue
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ts_raw = f"[{m.group('secs')}]"
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ts_iso = ""
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msg = m.group("msg")
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severity = detect_severity(msg)
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repeat, out_of_order = state.observe(msg, ts_iso or None)
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matched = apply_patterns(msg, compiled_patterns)
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yield RetrievedEntry(
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entry_id=make_entry_id(source_id, state.sequence, msg),
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source_id=source_id,
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sequence=state.sequence,
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timestamp_raw=ts_raw,
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timestamp_iso=ts_iso,
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ingest_time=ingest_time,
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severity=severity,
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repeat_count=repeat,
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out_of_order=out_of_order,
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matched_patterns=matched,
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text=msg,
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)
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