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.
99 lines
3.1 KiB
Python
99 lines
3.1 KiB
Python
"""Servarr (*arr) log parser.
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Handles the pipe-delimited format used by Sonarr, Radarr, Lidarr,
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Prowlarr, Readarr, Whisparr, and Bazarr:
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2026-05-11 02:31:51.5|Info|ComponentName|Message text
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2024-05-09 00:02:25|INFO |root |Message text
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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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_LINE_RE = re.compile(
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r"^(?P<ts>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}(?:\.\d+)?)"
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r"\|(?P<level>[^|]+)"
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r"\|(?P<component>[^|]*)"
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r"\|(?P<msg>.*)$"
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)
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_LEVEL_MAP: dict[str, str | None] = {
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"trace": None,
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"debug": "DEBUG",
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"info": "INFO",
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"warn": "WARN",
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"warning": "WARN",
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"error": "ERROR",
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"fatal": "CRITICAL",
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}
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def _parse_ts(ts_str: str) -> tuple[str, str]:
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base = ts_str.split(".")[0]
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try:
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dt = datetime.strptime(base, "%Y-%m-%d %H:%M:%S").astimezone(timezone.utc)
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return ts_str, dt.isoformat()
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except ValueError:
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return ts_str, ""
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def is_servarr_log(first_line: str) -> bool:
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return bool(_LINE_RE.match(first_line.strip()))
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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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pending_text: str | None = None
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pending_meta: dict = {}
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def _emit(text: str, meta: dict) -> RetrievedEntry:
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repeat, out_of_order = state.observe(text, meta.get("ts_iso"))
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matched = apply_patterns(text, compiled_patterns)
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return RetrievedEntry(
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entry_id=make_entry_id(source_id, state.sequence, text),
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source_id=source_id,
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sequence=state.sequence,
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timestamp_raw=meta.get("ts_raw", ""),
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timestamp_iso=meta.get("ts_iso", ""),
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ingest_time=ingest_time,
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severity=meta.get("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=text,
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)
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for raw_line in lines:
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line = raw_line.rstrip("\n")
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m = _LINE_RE.match(line)
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if m:
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if pending_text is not None:
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yield _emit(pending_text, pending_meta)
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ts_raw, ts_iso = _parse_ts(m.group("ts"))
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level_key = m.group("level").strip().lower()
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severity = _LEVEL_MAP.get(level_key, detect_severity(m.group("msg")))
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component = m.group("component").strip()
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msg = m.group("msg")
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# Prepend component so it's searchable without needing a separate column
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text = f"[{component}] {msg}" if component else msg
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pending_meta = {"ts_raw": ts_raw, "ts_iso": ts_iso, "severity": severity}
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pending_text = text
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elif pending_text is not None:
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pending_text += "\n" + line.strip()
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if pending_text is not None:
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yield _emit(pending_text, pending_meta)
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