GitHub Actions run on branch worktree-lint-charset - rethinkhealth/glion

GitHub Actions run

CPU Simulation

12 hours ago 2b9a5d6 worktree-lint-charset pull_request

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feat(lint-charset): add MSH-18 charset rule and server strict-mode gate

#664

worktree-lint-charset

12 hours ago

CPU Simulation

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Suggested base runs: •

24 total

lint-profile: validate 3 segments

benchmarks/lint-profile.bench.ts::lint-profile

4.4 ms

pipeline: process ORU^R01 (55 segments)

benchmarks/pipeline.bench.ts::pipeline

85.1 ms

mllp: handle with 10 middleware

benchmarks/mllp.bench.ts::mllp

563.9 µs

parser: parse complex fields (repetitions, components, sub-components)

benchmarks/parser.bench.ts::parser

532.3 µs

query: value(tree, 'MSH-12') — large message

benchmarks/query.bench.ts::query

100 µs

mllp: handle small message (3 segments)

benchmarks/mllp.bench.ts::mllp

693.3 µs

parser: parse 2 segments

benchmarks/parser.bench.ts::parser

443.6 µs

pipeline: process ADT^A01 (3 segments)

benchmarks/pipeline.bench.ts::pipeline

6.2 ms

parser: parse 202 segments

benchmarks/parser.bench.ts::parser

17.4 ms

lint-profile: validate 13 segments

benchmarks/lint-profile.bench.ts::lint-profile

13.8 ms

query: select(tree, 'PID-5') — small message

benchmarks/query.bench.ts::query

34.1 µs

pipeline: process ORU^R01 (14 segments)

benchmarks/pipeline.bench.ts::pipeline

23.5 ms

lint-profile: validate 53 segments

benchmarks/lint-profile.bench.ts::lint-profile

38.5 ms

pipeline: process ORU^R01 (205 segments)

benchmarks/pipeline.bench.ts::pipeline

268.4 ms

lint-profile: validate 53 segments (cold cache)

benchmarks/lint-profile.bench.ts::lint-profile

41.5 ms

query: select(tree, 'OBX-5') — large message (first match)

benchmarks/query.bench.ts::query

69.7 µs

query: value(tree, 'MSH-9.1') — small message

benchmarks/query.bench.ts::query

49.6 µs

query: value(tree, 'MSH-12') — small message

benchmarks/query.bench.ts::query

84 µs

mllp: handle large message (100+ segments)

benchmarks/mllp.bench.ts::mllp

8.1 ms

mllp: handle with 5 middleware

benchmarks/mllp.bench.ts::mllp

540.6 µs

parser: parse 52 segments

benchmarks/parser.bench.ts::parser

5.3 ms

The benchmarks below were skipped, so their baseline results are used instead.

mllp-client: send 10 small messages serially

benchmarks/mllp-client.bench.ts::mllp-client (ephemeral connection per send)

Skipped

24.7 ms*

mllp-client: send 10 small messages concurrently

benchmarks/mllp-client.bench.ts::mllp-client (ephemeral connection per send)

Skipped

20.9 ms*

mllp-client: send 1 small message

benchmarks/mllp-client.bench.ts::mllp-client (ephemeral connection per send)

Skipped

4.5 ms*

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