Adds a domain: field to the pattern taxonomy and surfaces per-domain
hit counts in diagnose summaries for faster triage.
Changes:
- LogPattern gains domain: str = "" (backward-compatible default)
- load_patterns() reads domain from YAML via p.get("domain", "")
- All 42 patterns in default.yaml annotated across 10 domains:
service_health | networking | auth | storage | memory |
kernel | power | web_proxy | media | gpu
- _pattern_domain dict built at startup from compiled patterns
- _domain_counts() helper: maps matched_patterns tags to domains,
counts hits per domain across a result set
- diagnose POST: summary includes by_domain: {domain: count}
- diagnose stream: summary SSE event includes by_domain when
pattern_domain is provided (passed from rest.py at startup)
- /api/search gains ?domain= filter: post-filters results to entries
whose matched_patterns include at least one tag in the given domain
Test fixtures: patch _pattern_domain={} and CONTEXT_DB_PATH in
test_blocklist_endpoints.py and test_glean_tautulli.py (worktree
has no data/ dir; same fix as feat/60-incidents-db).
372 tests passing.
Closes: #32
Turnstone incidents now carry an issue_type tag (free-text with datalist
suggestions) used to categorize patterns for signature building.
Backend:
- Incident model gains issue_type; additive ALTER TABLE migration keeps
existing DBs working without a full schema rebuild
- New received_bundles table stores incoming JSON bundles with indexes on
bundled_at and issue_type
- build_bundle() assembles incident + related log entries into a versioned
bundle dict; store_bundle()/list_bundles()/get_bundle() for the receiver
- POST /api/incidents/{id}/send — pushes bundle to TURNSTONE_BUNDLE_ENDPOINT
- GET /api/incidents/{id}/bundle — export without sending
- POST /api/bundles — receive and store an incoming bundle
- GET /api/bundles — list all received bundles
- TURNSTONE_SOURCE_HOST and TURNSTONE_BUNDLE_ENDPOINT env vars; auto-set
source host from hostname in podman-standalone.sh
Frontend:
- Incidents form: issue_type field with datalist suggestions; Type column
in the table; Send Bundle button + status feedback in the detail drawer
- New BundlesView: collapsible bundle rows, inline JSON parse (no extra
round-trip), Export JSON download button
- Router and nav updated with /bundles route
- Add `incidents` table to SQLite schema (id, label, started_at, ended_at,
notes, created_at, severity)
- Extract `ensure_schema()` from ingest pipeline so tables are always
created at startup, not only during ingest
- New `app/services/incidents.py`: create/list/get/delete + time-window
entry association (FTS keyword search + raw window fallback)
- New `entries_in_window()` in search.py: plain SQL scan for incident
detail when keyword FTS returns nothing
- REST endpoints: POST/GET /api/incidents, GET/DELETE /api/incidents/{id}
- Incident detail returns up to 100 associated log entries sorted by
timestamp, prioritising FTS keyword hits then ERROR/CRITICAL then all
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).
