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prom238 B

OpenMetrics — Missing # EOF Marker, Intentionally Invalid (prom)

A document that parses perfectly as Prometheus text and is invalid as OpenMetrics, because the mandatory # EOF terminator is missing. That marker is the format's only defence against a truncated response being accepted as complete — which is the exact failure this file reproduces.

Preview — first 6 linesprom
# TYPE shop_orders counter
# HELP shop_orders Orders accepted since process start.
shop_orders_total{service="checkout-api"} 24518
# TYPE process_resident_memory_bytes gauge
process_resident_memory_bytes{service="checkout-api"} 418709504

Specifications

Families
2
Has Eof
false
Intentionally Invalid
true
Valid As Prometheus Text
true
Rule
an OpenMetrics document must end with # EOF

Testing contract

Expected to fail
Scenario
Parse the file once as OpenMetrics and once as Prometheus text exposition.
Expected result
The OpenMetrics parse fails on the missing # EOF while the Prometheus text parse succeeds with 2 families, proving the truncation is only detectable in the stricter dialect.

What is a .prom file?

A .prom file holds metrics in the Prometheus text exposition format, the same body a `/metrics` endpoint returns. Each metric family is introduced by `# HELP` and `# TYPE` comments and followed by one sample per line: a metric name, an optional brace-delimited label set, a value, and an optional millisecond timestamp. Counters, gauges, histograms (with `_bucket`, `_sum`, `_count` series and a `+Inf` bucket), and summaries with quantile labels all use this one grammar.

How to use this file

Use an example .prom file to test exposition-format parsers, scrapers, and the node_exporter textfile collector — checking label escaping, histogram bucket ordering and cumulative counts, and the handling of `NaN` and `+Inf` values.

How to use this file for testing

“OpenMetrics — Missing # EOF Marker, Intentionally Invalid (prom)” is a deterministic Novus Examples fixture for Observability, Schema validation, Error handling. Structured and plain-text telemetry with known timestamps, levels, request identifiers, and error states for testing log ingestion, correlation, dashboards, and alert pipelines.

Documented properties for this file: PROM · 238 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Telemetry fixtures use fixed trace IDs, span IDs, and timestamps so ingestion is reproducible run to run. Point your collector, parser, or query layer at the file and assert the documented span tree, metric families, or severity mix; service and host names are invented.

Generated by generation/observability.py. Free for any use, no attribution required — license.