Skip to main content

Formal Apache Airflow provider facade for dpone self-service DAGs

Project description

apache-airflow-providers-dpone

The formal Apache Airflow provider facade for dpone self-service DAGs.

Install

Use a supported Airflow matrix cell. This example uses Python 3.12, Airflow 3.2.0, and the CNCF Kubernetes provider 10.14.0. Use Apache Airflow's official constraints for the Airflow install only, then pin Airflow again while adding this provider:

AIRFLOW_VERSION=3.2.0
PYTHON_VERSION=3.12
AIRFLOW_CONSTRAINTS_URL="https://raw.githubusercontent.com/apache/airflow/constraints-${AIRFLOW_VERSION}/constraints-${PYTHON_VERSION}.txt"

python -m pip install \
  "apache-airflow[cncf.kubernetes]==${AIRFLOW_VERSION}" \
  --constraint "${AIRFLOW_CONSTRAINTS_URL}"
python -m pip install \
  "apache-airflow==${AIRFLOW_VERSION}" \
  "apache-airflow-providers-cncf-kubernetes==10.14.0" \
  "apache-airflow-providers-dpone==0.73.2"
python -m pip check
python -c "from airflow.providers.dpone import load_dpone_dags; print(load_dpone_dags.__module__)"

The provider installs dpone-airflow-pack==0.73.2; it does not require the full dpone runtime or connector drivers in the scheduler image.

Load DAGs

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 distribution owns Airflow provider discovery and the typed canonical namespace. The dependency-light dpone-airflow-pack package owns static pack reading and DAG construction. Importing the provider performs no remote cache, Airflow metadata, Connection, Variable, Vault, Kubernetes, or database I/O.

The deployment index read is bounded to 8 MiB and each listed artifact to 64 MiB by default. An index-level error returns fatal=True; do not represent that as a successful empty parse. After a trusted index is loaded, DAG spec and workload-pack size/SHA-256 failures are isolated to the affected DAG under the default skip_and_report policy. Recover by rematerializing the immutable release/deployment from trusted storage, never by editing cache artifacts in place.

DponeDag.from_spec(...) and DponeTaskGroup.from_pack(...) are typed escape hatches for hybrid DAGs. The recommended path is load_dpone_dags(...).

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

apache_airflow_providers_dpone-0.73.16.tar.gz (3.0 kB view details)

Uploaded Source

Built Distribution

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

File details

Details for the file apache_airflow_providers_dpone-0.73.16.tar.gz.

File metadata

File hashes

Hashes for apache_airflow_providers_dpone-0.73.16.tar.gz
Algorithm Hash digest
SHA256 448c9952857ed1024896785ce8953b611994981dcd63e231631008e671a4b5a5
MD5 784178a9ec255efac6fa6dd996719e1c
BLAKE2b-256 eba06ce60a2c6869d546aa5dc8be025f670c8a56889a6a21097d28463594e85f

See more details on using hashes here.

File details

Details for the file apache_airflow_providers_dpone-0.73.16-py3-none-any.whl.

File metadata

File hashes

Hashes for apache_airflow_providers_dpone-0.73.16-py3-none-any.whl
Algorithm Hash digest
SHA256 e410434121917abd141619cb6bde40f5324951693933030efc5ee49766fd1110
MD5 79e861440e2a0569acb3dc046489b938
BLAKE2b-256 e7283108037b82e5423bfb148e5d0b2e6522c9c76ff01cb17c9dae059a178e78

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