Dontopedia

status.OK()

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

status.OK() has 27 facts recorded in Dontopedia across 9 references, with 3 live disagreements.

27 facts·18 predicates·9 sources·3 in dispute

Mostly:rdf:type(4), expected code(2), precedes(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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.

hasStepHas Step(2)

sequenceSequence(2)

:checksCondition:checks Condition(1)

containsContains(1)

expectsResponseExpects Response(1)

expressesEnthusiasmExpresses Enthusiasm(1)

followsFollows(1)

includesIncludes(1)

precedesPrecedes(1)

triggeredByTriggered by(1)

Other facts (23)

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.

23 facts
PredicateValueRef
Rdf:typeConditional Check[2]
Rdf:typeConditional Logic[4]
Rdf:typeValidation Check[7]
Rdf:typeConditional Check[8]
Expected Code200[1]
Expected Code200[2]
PrecedesRetry Check[5]
PrecedesAlert Condition[9]
Http Status CodeOK[1]
ChecksResponse[2]
Compares Attributestatus_code[3]
Compares With Value200[3]
EvaluatesAuth Response.status Code[4]
DeterminesLogin Outcome[4]
Called onStatus Object[6]
ReturnsBoolean[6]
Used inInsert Vectors[6]
PerformsWorkflow Validation[7]
SequencePrint Action[8]
Conditioni+1 divisible by 1000[8]
TriggersPrint Action[8]
Uses Expression(i + 1) % 1000 == 0[8]
Contained inCheck Cluster Health[9]

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.

expectedCodebeam/5e4c41ee-bc06-45cd-bcba-034beef0c581
200
httpStatusCodebeam/5e4c41ee-bc06-45cd-bcba-034beef0c581
OK
typebeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
ex:ConditionalCheck
labelbeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
response.status_code == 200 check
checksbeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
ex:response
expectedCodebeam/4efb917b-f3e0-4bca-881d-b9299bd05d02
200
comparesAttributeblah/unturf/25
status_code
comparesWithValueblah/unturf/25
200
typebeam/80105a51-361a-4ddd-8a0c-77571c90b9e1
ex:ConditionalLogic
labelbeam/80105a51-361a-4ddd-8a0c-77571c90b9e1
Status Code Check
evaluatesbeam/80105a51-361a-4ddd-8a0c-77571c90b9e1
ex:auth_response.status_code
determinesbeam/80105a51-361a-4ddd-8a0c-77571c90b9e1
ex:login-outcome
precedesbeam/ca6774e6-b8a3-4276-a3b2-cc71b437986d
ex:retry-check
labelbeam/c585b037-7a7e-4288-9832-4ce9e2571d53
status.OK()
calledOnbeam/c585b037-7a7e-4288-9832-4ce9e2571d53
ex:status-object
returnsbeam/c585b037-7a7e-4288-9832-4ce9e2571d53
ex:boolean
usedInbeam/c585b037-7a7e-4288-9832-4ce9e2571d53
ex:insert_vectors
typebeam/1ca2692b-9577-4c35-aa70-f8c8ec69ba62
ex:ValidationCheck
labelbeam/1ca2692b-9577-4c35-aa70-f8c8ec69ba62
Status Existence Check
performsbeam/1ca2692b-9577-4c35-aa70-f8c8ec69ba62
ex:workflow-validation
sequencebeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
ex:print-action
conditionbeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
i+1 divisible by 1000
typebeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
ex:ConditionalCheck
triggersbeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
ex:print-action
usesExpressionbeam/343d7abc-9aa0-4e2b-8884-910c760bfe88
(i + 1) % 1000 == 0
containedInbeam/a71e59fe-5263-438d-a38e-796b51037c2b
ex:check_cluster_health
precedesbeam/a71e59fe-5263-438d-a38e-796b51037c2b
ex:alert-condition

References (9)

9 references
  1. ctx:claims/beam/5e4c41ee-bc06-45cd-bcba-034beef0c581
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5e4c41ee-bc06-45cd-bcba-034beef0c581
      Show excerpt
      - **Docker Compose**: `docker-compose.yml` defines the services, their dependencies, and the network configuration. This setup provides a basic scalable microservice architecture using Docker and Docker Compose. You can expand upon this by
  2. ctx:claims/beam/4efb917b-f3e0-4bca-881d-b9299bd05d02
  3. [3]252 facts
    ctx:discord/blah/unturf/25
    • full textunturf-25
      text/plain3 KBdoc:agent/unturf-25/283c470e-76f9-43ed-9c0d-9550e33e1bdd
      Show excerpt
      [2025-12-06 20:23] uncloseai [bot]: ✨ **Fixed Code** (attempt 2/2): ```python import json import requests import time # Fetch the JSON data from the URL url = "https://russell.ballestrini.net/uploads/russell.ballestrini.resume.json" # Add
  4. ctx:claims/beam/80105a51-361a-4ddd-8a0c-77571c90b9e1
    • full textbeam-chunk
      text/plain1 KBdoc:beam/80105a51-361a-4ddd-8a0c-77571c90b9e1
      Show excerpt
      By estimating effort and prioritizing tasks based on their importance and complexity, you can better manage your workload and improve completion rates. This approach ensures that critical tasks are addressed first, leading to more efficient
  5. ctx:claims/beam/ca6774e6-b8a3-4276-a3b2-cc71b437986d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/ca6774e6-b8a3-4276-a3b2-cc71b437986d
      Show excerpt
      Here's an updated version of your code with these considerations: ```python import requests import time import logging # Configure logging logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) def refresh_token():
  6. ctx:claims/beam/c585b037-7a7e-4288-9832-4ce9e2571d53
  7. ctx:claims/beam/1ca2692b-9577-4c35-aa70-f8c8ec69ba62
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1ca2692b-9577-4c35-aa70-f8c8ec69ba62
      Show excerpt
      transition_id = transition['id'] break if transition_id: jira.transition_issue(task, transition_id) print(f"Task {task_key} has been updated to {desired_status}.") else: print(f"No transition found for status {d
  8. ctx:claims/beam/343d7abc-9aa0-4e2b-8884-910c760bfe88
    • full textbeam-chunk
      text/plain1 KBdoc:beam/343d7abc-9aa0-4e2b-8884-910c760bfe88
      Show excerpt
      self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 10) def forward(self, x): x = torch.relu(self.fc1(x)) x = self.fc2(x) return x # Initialize the model and optimizer model = MyModel() opt
  9. ctx:claims/beam/a71e59fe-5263-438d-a38e-796b51037c2b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/a71e59fe-5263-438d-a38e-796b51037c2b
      Show excerpt
      response = requests.get(url) cluster_health = response.json()['status'] if cluster_health != "green": send_alert(cluster_health) def send_alert(cluster_health): msg = EmailMessage() msg.set_content(f"Elasticsea

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