pyr0ball
3e6eabb7ce
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).
85 lines
2.6 KiB
Python
85 lines
2.6 KiB
Python
"""Caddy structured JSON access log parser."""
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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, epoch_float_to_iso,
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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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_LEVEL_MAP = {"debug": "DEBUG", "info": "INFO", "warn": "WARN", "error": "ERROR"}
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def _summarise(entry: dict) -> str:
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"""Build a human-readable text representation of a Caddy log entry."""
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msg = entry.get("msg", entry.get("message", ""))
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req = entry.get("request", {})
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if req:
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method = req.get("method", "")
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host = req.get("host", "")
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uri = req.get("uri", "")
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status = entry.get("status", "")
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duration = entry.get("duration", "")
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err = entry.get("error", "")
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parts = [msg, f"{method} {host}{uri}" if method else "", f"status={status}" if status else ""]
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if duration:
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parts.append(f"duration={duration:.3f}s")
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if err:
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parts.append(f"error={err}")
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return " ".join(p for p in parts if p)
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# Non-access log entries (TLS, config, etc.)
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err = entry.get("error", "")
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return f"{msg} {err}".strip() if err else msg
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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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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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if "ts" not in entry:
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continue
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ts_float = float(entry["ts"])
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ts_iso = epoch_float_to_iso(ts_float)
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ts_raw = str(entry["ts"])
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level_raw = entry.get("level", "info")
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severity = _LEVEL_MAP.get(level_raw.lower(), level_raw.upper())
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text = _summarise(entry)
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if not text:
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continue
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repeat, out_of_order = state.observe(text, ts_iso)
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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,
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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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