Ingest pipeline (journald / Caddy / Docker-wrapped formats) with per-source state tracking (repeat dedup, out-of-order detection), named pattern tagging at ingest time, and idempotent SHA1-keyed writes. FTS5 search layer with porter stemmer, severity/source/pattern/time filters, and BM25 ranking. MCP server (FastMCP stdio) with three tools: search_logs, diagnose, list_log_sources — compatible with both Claude Code and Copilot CLI. WAL mode enabled on all connections. FTS index auto-built after ingest. MCP configs included for Claude Code (.mcp.json) and Copilot CLI (.github/copilot/mcp.json).
66 lines
2 KiB
Python
66 lines
2 KiB
Python
"""Docker-wrapped log parser (Turnstone's custom corpus format)."""
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from __future__ import annotations
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import json
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from typing import Iterator
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from app.ingest.base import (
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SourceState, apply_patterns, detect_severity,
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make_entry_id, now_iso,
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)
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from app.services.models import LogPattern, RetrievedEntry
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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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# One SourceState per container name
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states: dict[str, SourceState] = {}
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for raw_line in lines:
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raw_line = raw_line.strip()
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if not raw_line:
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continue
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try:
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entry = json.loads(raw_line)
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except json.JSONDecodeError:
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continue
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src = entry.get("SOURCE", source_id)
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text = entry.get("MESSAGE", "").strip()
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if not text:
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continue
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# Try to parse inner JSON (Docker often logs JSON itself)
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try:
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inner = json.loads(text)
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if isinstance(inner, dict):
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text = inner.get("msg") or inner.get("message") or inner.get("MESSAGE") or text
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except (json.JSONDecodeError, TypeError):
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pass
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if src not in states:
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states[src] = SourceState()
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state = states[src]
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severity = detect_severity(text)
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repeat, out_of_order = state.observe(text, 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(src, state.sequence, text),
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source_id=src,
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sequence=state.sequence,
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timestamp_raw=None,
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timestamp_iso=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=False, # no timestamps to compare
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matched_patterns=matched,
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text=text,
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)
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