report_metrics
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
report_metrics has 8 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), method exists(1), is instance method(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
hasMethodHas Method(2)
- Cache Client Class
ex:cache-client-class - Cache Layer Class
ex:cache-layer-class
callsMethodCalls Method(1)
- Example Usage
ex:example-usage
containsMethodContains Method(1)
- Cache Client Class
ex:cache-client-class
Other facts (7)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Method | [1] |
| Rdf:type | Python Method | [2] |
| Method Exists | true | [1] |
| Is Instance Method | true | [1] |
| Is Incomplete | true | [1] |
| Intended Purpose | Output Metrics | [1] |
| Aggregates | All Cache Metrics | [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.
References (2)
ctx:claims/beam/cf290d1c-6c62-43bf-9dc6-16e110cc70e6- full textbeam-chunktext/plain1 KB
doc:beam/cf290d1c-6c62-43bf-9dc6-16e110cc70e6Show excerpt
self.metrics = { 'hits': 0, 'misses': 0, 'total_requests': 0, 'total_latency': 0, 'errors': 0 } def set(self, key, value, ttl=None): try: s…
ctx:claims/beam/6e433a01-c08c-42a1-8b72-0d30dae0ff3a- full textbeam-chunktext/plain1 KB
doc:beam/6e433a01-c08c-42a1-8b72-0d30dae0ff3aShow excerpt
hit_rate = (self.metrics['hits'] / self.metrics['total_requests']) * 100 if self.metrics['total_requests'] > 0 else 0 miss_rate = (self.metrics['misses'] / self.metrics['total_requests']) * 100 if self.metrics['total_request…
See also
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