dpone-airflow-pack

dpone-airflow-pack is the lightweight, Airflow-independent reader and DAG construction library for dpone GitOps packs. The formal apache-airflow-providers-dpone distribution owns provider discovery and the canonical airflow.providers.dpone namespace.

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 zero-boilerplate Airflow DAG import:

from airflow.providers.dpone import load_dpone_dags

load_report = load_dpone_dags(
    globals(),
    index_path="/opt/airflow/dags/.dpone-cache/current/airflow-index.json",
)
if load_report.fatal:
    error_code = (
        load_report.errors[0].get("code", "DPONE_AIRFLOW_INDEX_INVALID")
        if load_report.errors
        else "DPONE_AIRFLOW_INDEX_INVALID"
    )
    raise RuntimeError(
        f"{error_code}: dpone Airflow deployment index could not be loaded"
    )

The formal provider's canonical namespace is PEP 561 typed. DponeDag.from_spec(...) and DponeTaskGroup.from_pack(...) remain typed escape hatches for hybrid DAGs. The old dpone_airflow_pack imports remain compatibility shims and emit one deprecation warning per process for provider-facade objects.

For the complete import, generated-loader, and cache-layout cutover, follow the provider and cache migration guide.

Legacy installations that still consume a mutable remote latest/pack-index.json may keep the compatibility sync temporarily:

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

The loader reads only the local composite deployment index and its listed checksum-verified DAG specs/packs. It does not scan authoring sources, refresh a remote cache, or read Airflow Variables, Connections, Vault, Kubernetes, or a metadata database during parse.

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.

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  • Released:
Newer release available (0.74.33)

1 maintainer

PyPI data
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Avatar for paulkov007 from gravatar.com paulkov007

Credits

Author/Maintainer: PaulKov

License expression

Apache-2.0
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Requires

Python <3.13, >=3.11

Tags

airflow gitops data-engineering scheduler kubernetes

Classifiers

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