Argo CronWorkflow Schedule
An Argo CronWorkflow wrapping an inline workflowSpec: a cron schedule with an explicit timezone, Replace concurrency, history limits, and a suspend flag. Nested-spec shape that flat schedule extractors miss.
apiVersion: argoproj.io/v1alpha1
kind: CronWorkflow
metadata:
name: nightly-etl
namespace: example-apps
spec:
schedule: "17 2 * * *"
timezone: Etc/UTC
concurrencyPolicy: Replace
startingDeadlineSeconds: 300
successfulJobsHistoryLimit: 3
failedJobsHistoryLimit: 1
suspend: false
workflowSpec:
entrypoint: run
templates:
- name: run
container:
image: registry.example.invalid/example-org/etl:1.2.0
args: ["--window=24h"]
Specifications
- System
- Argo Workflows
- Kind
- CronWorkflow
- Schedule
- 17 2 * * *
- Timezone
- Etc/UTC
- Concurrency Policy
- Replace
- Suspend
- false
Testing contract
Expected to pass- Scenario
- Extract a schedule from a CronWorkflow whose workflow definition is nested inside it
- Expected result
- The cron expression and Etc/UTC timezone are read from the outer spec while the entrypoint is read from the nested workflowSpec
What is a .yaml file?
YAML (YAML Ain't Markup Language) is a human-readable data-serialization format using indentation, key-value pairs, and lists, and is a superset of JSON. It supports comments, anchors, and multiple documents per file, favoring readability for configuration. Its indentation sensitivity makes it error-prone to hand-edit.
How to use this file
Use an example YAML file to test config parsers, indentation and anchor handling, multi-document streams, and safe-loading to avoid arbitrary object construction.
How to use this file for testing
“Argo CronWorkflow Schedule” is a deterministic Testaroo fixture for Config testing, Config parsing, Editor testing. TOML, INI, YAML, .env, and dotfile configuration samples with nested sections and typed values, for testing config parsers, loaders, and environment tooling.
Documented properties for this file: YAML · 481 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.
Pipeline and infrastructure fixtures are inert configuration: steps reference fictional images and scripts, and nothing here executes. Run your linter, schema validator, migrator, or policy engine against them, and expect the deprecated-syntax and intentionally invalid variants to be rejected.
Point your config loader at the file and assert it reads the documented sections and typed values, including any deliberately-tricky nesting or comments.
Code examples
import yaml # pip install pyyaml
with open("argo-cronworkflow.yaml") as f:
data = yaml.safe_load(f)
print(data)Generated by generation/pipelines.py. Free for any use, no attribution required, license.
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