Dontopedia

Run metric computation

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Run metric computation has 15 facts recorded in Dontopedia across 2 references, with 4 live disagreements.

15 facts·10 predicates·2 sources·4 in dispute

Mostly:rdf:type(2), executes(2), runs(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (7)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

afterAfter(1)

containsContains(1)

containsStepContains Step(1)

hasStepHas Step(1)

precedesPrecedes(1)

requiredByRequired by(1)

requiresRequires(1)

Other facts (14)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

14 facts
PredicateValueRef
Rdf:typeWorkflow Step[1]
Rdf:typeBuild Step[2]
ExecutesUnittest Command[1]
ExecutesMain Script[2]
Runspython -m unittest discover -s tests -p "*_test.py"[2]
Runspython -m your_script_name[2]
IncludesUnittest Execution[2]
IncludesScript Execution[2]
Followed byLogging Step[1]
Has PurposeRun Unit Tests[1]
Step Order4[1]
Part ofBuild Job[2]
ProducesMetrics Output[2]
ValidatesCode Quality[2]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/2a2866c4-dd43-4095-962a-016ea377de69
ex:WorkflowStep
labelbeam/2a2866c4-dd43-4095-962a-016ea377de69
Run metric computation
executesbeam/2a2866c4-dd43-4095-962a-016ea377de69
ex:unittest-command
followedBybeam/2a2866c4-dd43-4095-962a-016ea377de69
ex:logging-step
hasPurposebeam/2a2866c4-dd43-4095-962a-016ea377de69
ex:run-unit-tests
stepOrderbeam/2a2866c4-dd43-4095-962a-016ea377de69
4
runsbeam/42c2a8be-878f-4982-a593-d15884edb6d7
python -m unittest discover -s tests -p "*_test.py"
runsbeam/42c2a8be-878f-4982-a593-d15884edb6d7
python -m your_script_name
typebeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:BuildStep
partOfbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:build-job
producesbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:metrics-output
includesbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:unittest-execution
includesbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:script-execution
validatesbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:code-quality
executesbeam/42c2a8be-878f-4982-a593-d15884edb6d7
ex:main-script

References (2)

2 references
  1. ctx:claims/beam/2a2866c4-dd43-4095-962a-016ea377de69
  2. ctx:claims/beam/42c2a8be-878f-4982-a593-d15884edb6d7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/42c2a8be-878f-4982-a593-d15884edb6d7
      Show excerpt
      track_metrics(iterations=10) ``` ### Step 4: Start Logstash Start Logstash with the configuration file: ```sh logstash -f /path/to/your/logstash.conf ``` ### Step 5: Visualize Metrics in Kibana Install and configure Kibana to visualize

See also

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