Skip to main content

Lightweight Airflow scheduler-side pack provider for dpone GitOps workloads

Project description

dpone-airflow-pack

dpone-airflow-pack is the lightweight Airflow scheduler/webserver provider for dpone GitOps packs.

It only reads a static airflow-pack.json and builds visible Airflow/Kubernetes tasks. It does not import the full dpone runtime and intentionally contains no source/sink/native transfer dependencies such as ClickHouse, MSSQL, pyodbc, pandas, polars, or ConnectorX.

Recommended Airflow DAG import:

from dpone_airflow_pack import build_dpone_gitops_task_group_from_pack

For remote immutable packs, keep DAG parsing cache-only:

dpone-airflow-pack-sync \
  --once \
  --index-uri s3://bucket/dpone-artifacts/prod/repo/latest/pack-index.json \
  --reader-connection-id s3_dpone_artifacts_reader \
  --cache-dir /opt/airflow/dags/.dpone-cache/airflow

dpone-airflow-pack-cache-status \
  --cache-dir /opt/airflow/dags/.dpone-cache/airflow \
  --json

Use load_dpone_airflow_pack_with_provenance("cached://<workload_id>") when a DAG wrapper needs to expose which cache generation and pack checksum were used during parse. A KubernetesExecutor runtime worker is not required to mount the scheduler or DAG processor cache.

For DAGs that should run a whole GitOps domain or a named workflow group, keep the grouping in the domain catalog and resolve it through the lightweight provider:

workflow_groups:
  daily:
    workload_ids:
      - dim_customer
      - fact_order
from dpone_airflow_pack import workload_ids_from_gitops_domain

workload_ids = workload_ids_from_gitops_domain(
    repo_root,
    "sales",
    group="daily",
)

The resolver only reads YAML files and validates that every group member exists in the same domain catalog.

The full dpone[full,accel] package belongs in the KPO runtime image, not in the scheduler image.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

dpone_airflow_pack-0.68.0.tar.gz (24.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

dpone_airflow_pack-0.68.0-py3-none-any.whl (36.5 kB view details)

Uploaded Python 3

File details

Details for the file dpone_airflow_pack-0.68.0.tar.gz.

File metadata

  • Download URL: dpone_airflow_pack-0.68.0.tar.gz
  • Upload date:
  • Size: 24.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for dpone_airflow_pack-0.68.0.tar.gz
Algorithm Hash digest
SHA256 0b832f27efa0fbd5822e7bc0bd7ca7949c8fc83c8554f3f157634212161d6c77
MD5 1ff70c72bb288e276cbb4d1339cfca3c
BLAKE2b-256 c271eabdb69b1b8e436ec36cb044208714f42cbb881e4a00e8e7906b5394fb08

See more details on using hashes here.

File details

Details for the file dpone_airflow_pack-0.68.0-py3-none-any.whl.

File metadata

File hashes

Hashes for dpone_airflow_pack-0.68.0-py3-none-any.whl
Algorithm Hash digest
SHA256 f2a42d49c9be1bb5f77d08dc5e5a566006039ed8522a643c2703fd2211a093ea
MD5 bd7df16ac26b56e535db4ee6c857179e
BLAKE2b-256 626132163affa2df69def73fd3a4cbc4511c28fb991ed1436f4bf1dd70700532

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page