Hugh KaznowskiandClaude Sonnet 5 920629dbad Add a deterministic profile-actor wait primitive for tests (ticket 108)
Ticket 108 anticipated a large test-harness migration (primary-only/
profile-only helpers, migrating ~150 tests in engine/tests.rs), but
that turned out unnecessary: the profile actor reuses EngineSnapshot
as its own snapshot type (see ticket 104), so every existing
EngineSnapshot unit test already exercises primary-shaped and
profile-shaped behavior unchanged -- zero migration needed, confirmed
by the full suite passing untouched through tickets 100-107.

What was still a real gap: tests asserting on profile-actor-owned data
(declared metrics, alerts) after ingesting had no deterministic way to
wait for the profile actor to catch up -- EngineHandle::barrier() only
confirms the primary's queue drained, not that the profile actor has
processed what it published. They were passing on scheduler luck on
the single-threaded test runtime, not a real guarantee.

Added ProfileHandle::processed_sequence, a permanent (not test-only)
watch channel tracking the profile actor's watermark, mirrored onto
EngineHandle as profile_processed_sequence, with a
wait_for_profile_sequence(sequence) test helper built on it. This
replaces the ad hoc on_advance/spawn_observed mechanism ticket 103
added just to prove the wake loop worked -- that test now uses the
same real primitive. Retrofitted it into
promql_query_returns_series_for_seeded_fixture to eliminate its
latent race.

Not done: a dedicated test for the accepted eviction/lag tradeoff
(primary evicts on schedule regardless of profile-actor progress, per
idea 0001's resolved decision) -- deterministically forcing that race
without new test-injection hooks proved more involved than the
remaining scope justified; left as a known gap rather than shipping a
flaky or synthetic test for it.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01TeyhRfMYjMditek6geDRoQ
2026-09-07 14:04:26 +01:00
2026-09-07 13:14:19 +01:00
2026-09-07 12:16:36 +01:00
2026-09-07 13:14:19 +01:00
2026-09-07 13:14:19 +01:00
2026-09-05 21:41:11 +01:00

ottyl

Observability for any command's terminal output — no logging backend, no agents, no config to ship.

your_app --verbose | ottyl

Pipe a program's stdout into ottyl and turn it into a searchable log timeline, ad-hoc metrics extracted from the log lines themselves, and Grafana-style dashboards — served from a single local binary, for the lifetime of that process:

  • Search: A syntax-aware filter bar over your logs — regex matches and metric comparisons like latency_ms[value]<200, with relative (5h, -3m) and absolute datetimes.
  • Log timeline: A bucketed bar chart of message volume over time, Kibana-style. Drag across it to set the active time range.
  • Metrics from logs: Declare a metric by matching a regex against your log lines and extracting a value. It applies retroactively to everything already ingested, and to everything that follows.
  • Dashboards: Bar, line, and pie chart panels driven by PromQL-style queries over your declared metrics.
  • Mixed sources: Poll an existing Prometheus/OpenMetrics endpoint alongside log ingestion, in the same dashboard.
  • Profiles: Parsing rules and dashboards are saved per app, so they're there again next time that app runs through ottyl.

Use cases

  • Debugging a noisy CLI or long-running script, instead of scrolling a terminal buffer.
  • Getting metrics and charts out of a program that only ever prints text.
  • Local dashboards without standing up a metrics stack.
  • Combining scraped Prometheus metrics with log-derived ones during a debugging session.

Get started

Requires Rust and Node.js. The webapp is built and embedded into the binary, so the result is a single self-contained executable.

git clone <this-repo>
cd ottyl
make build
your_app --verbose | ottyl

Or point it at a log file instead of stdin, and mix in a Prometheus/OpenMetrics endpoint:

ottyl --file /var/log/your_app.log --metrics-url http://localhost:9090/metrics

ottyl prints the URL of the local web server it starts (an OS-assigned free port by default; pin one with --port). See ottyl --help for the rest, including where settings and profiles live (--settings-path).

Full documentation — filtering syntax, parameters, metrics, dashboards — is built into the app itself, under the nav menu's docs section.

Development

make dev    # frontend dev server with hot reload, proxying to a separately running `cargo run` backend
make test   # backend + frontend tests
make lint   # clippy + oxlint
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Description
Observability dashboard from terminal output
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