pyr0ball
12cd0a23d5
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.
79 lines
2.8 KiB
Python
79 lines
2.8 KiB
Python
"""Generic plain-text log parser — fallback for unrecognized formats.
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Attempts to extract a timestamp and severity from each line using common
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patterns (syslog, ISO 8601, nginx/apache). Lines that don't match any
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timestamp pattern are still ingested as plain text with no timestamp.
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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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# Ordered most-specific first
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_TS_PATTERNS: list[tuple[re.Pattern, str]] = [
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# ISO 8601: 2026-05-07T14:23:01.123Z or 2026-05-07 14:23:01
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(re.compile(r"^(?P<ts>\d{4}-\d{2}-\d{2}[T ]\d{2}:\d{2}:\d{2}(?:\.\d+)?(?:Z|[+-]\d{2}:?\d{2})?)"), "%Y-%m-%dT%H:%M:%S"),
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# Syslog: May 7 14:23:01
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(re.compile(r"^(?P<ts>\w{3}\s+\d{1,2}\s+\d{2}:\d{2}:\d{2})"), "%b %d %H:%M:%S"),
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# Common log: 07/May/2026:14:23:01 +0000
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(re.compile(r"^(?P<ts>\d{2}/\w{3}/\d{4}:\d{2}:\d{2}:\d{2}\s+[+-]\d{4})"), "%d/%b/%Y:%H:%M:%S %z"),
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]
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def _extract_ts(line: str) -> tuple[str, str]:
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for pattern, fmt in _TS_PATTERNS:
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m = pattern.match(line)
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if m:
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ts_raw = m.group("ts")
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try:
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# Strip fractional seconds / TZ for strptime compat
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clean = re.sub(r"(\.\d+)?([Zz]|[+-]\d{2}:?\d{2})?$", "", ts_raw).strip()
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clean = clean.replace("T", " ")
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dt = datetime.strptime(clean, fmt)
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if dt.year == 1900:
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dt = dt.replace(year=datetime.now().year)
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dt = dt.astimezone(timezone.utc)
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return ts_raw, dt.isoformat()
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except ValueError:
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pass
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return "", ""
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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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text = raw_line.strip()
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if not text:
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continue
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ts_raw, ts_iso = _extract_ts(text)
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severity = detect_severity(text)
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repeat, out_of_order = state.observe(text, ts_iso or None)
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matched = apply_patterns(text, compiled_patterns)
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yield 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=ts_raw,
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timestamp_iso=ts_iso or None,
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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=text,
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)
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