Hugh KaznowskiandClaude Sonnet 5 e397f9fbdb Unify param declarations: metrics reference params by name (ticket 037)
Collapse the Params-panel ParamDeclaration and the metric-embedded
RegexToMetricPrimitiveMatcher into a single ParamDeclaration type
(name, regex/capture-group-or-json-field-path, kind). MetricDeclaration
now references params by name via label_params: Vec<String> and
value_param: Option<String> instead of embedding its own extractor per
param, so a param declared once in the Params panel can be reused as a
label or value by any number of metrics. Declaring a metric that
references an undeclared param name is now rejected at declare-time.

Backend:
- src/data_value.rs: unified ParamDeclaration struct; MetricDeclaration
  data value now carries label_params/value_param instead of a Vec of
  inline matchers.
- src/engine.rs: DeclareParamRequest is now an alias for
  ParamDeclaration; DeclareMetricRequest carries label_params/
  value_param; validate_metric_request checks referenced param names
  against the declared-param store; apply_metric_to_log resolves
  label_params/value_param against a per-ingest resolved-param map
  instead of reading an inline matcher list.
- src/profile.rs: MetricDeclarationRecord carries label_params/
  value_param plus a private, serialize-skipped legacy_params field
  that only ever gets populated by deserializing a pre-037 profile
  file's old "params" key. ProfileStore::load migrates any such legacy
  metric into the unified shape (reusing an existing same-shaped bare
  param by name, or creating one implicitly named
  "<metric_name>.<param_name>"), then persists the migrated store so
  the on-disk file only carries the legacy shape once. Migration is
  idempotent (deterministic naming) and covered by dedicated tests.
- src/api.rs / src/dto.rs: MetricDeclarationDto and the declare/update
  metric response bodies updated to the new shape.

Frontend:
- webapp/src/lib/api.ts: MetricDeclaration type now has label_params/
  value_param; MetricParamMatcher/ParamRole types removed.
- webapp/src/components/Metrics.tsx: the declaration form now fetches
  declared params and lets you check off label params / pick a value
  param from that list, instead of re-entering a regex/capture-group/
  kind per metric param.

Leaves ticket 038 (duration as a derived param kind) and 039 (param
query resolving declared params) untouched, as scoped.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01XFUNZwCvz3kcod3352ZR2o
2026-09-05 22:41:14 +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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Observability dashboard from terminal output
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