airflow-floe 0.1.0

Airflow connector for Floe CLI (manifest-first orchestration)

Floe + Airflow (MVP example)

This folder contains:

• a reusable Python connector package (src/airflow_floe)
• example DAGs (dags/) that consume the package

For local setup of both Dagster and Airflow with isolated virtual environments, see:

• orchestrators/LOCAL_DEV.md

Contents

• INTEGRATION_SPEC.md: contract between Airflow and Floe CLI
• schemas/: JSON Schemas for XCom payloads and manifest contract
• src/airflow_floe/manifest.py: manifest loader/converter (floe.plan.v1 -> floe.manifest.v1)
• src/airflow_floe/runtime.py: shared runtime helpers (manifest context, run event parsing, summary loading)
• src/airflow_floe/hooks.py: reusable manifest hook (FloeManifestHook)
• src/airflow_floe/operators.py: reusable run hook/operator (FloeRunHook, FloeRunOperator)
• example/config.yml: small Floe config for demo
• dags/floe_example_operator_dag.py: example DAG using FloeRunOperator

Quick usage

1. Make sure floe is available in PATH (or set FLOE_CMD).
2. (Optional but recommended) install the connector package:

python -m pip install -e orchestrators/airflow-floe

3. Point Airflow DAGs folder to orchestrators/airflow-floe/dags.
4. Set optional env vars:

export FLOE_CMD="floe"
export FLOE_MANIFEST="/absolute/path/to/orchestrators/airflow-floe/example/manifest.airflow.json"
# optional override:
# export FLOE_CONFIG="/absolute/path/to/orchestrators/airflow-floe/example/config.yml"

5. Generate manifest from Floe config:

floe manifest generate \
  -c orchestrators/airflow-floe/example/config.yml \
  --output orchestrators/airflow-floe/example/manifest.airflow.json

6. Trigger DAG floe_example_operator.

Notes

• The DAG uses Floe CLI contracts directly and expects:
  • run log schema: floe.log.v1
  • terminal event: run_finished
• Assets are created at parse time from FLOE_MANIFEST and materialized when run tasks finish.
• floe_example_operator also publishes asset events when manifest assets are available.
• If FLOE_MANIFEST is missing/invalid, DAGs still run with FLOE_CONFIG (or example config fallback) but no assets are loaded/materialized.
• The returned task payload shape follows floe.airflow.run.v1.
• Local run summaries emitted as local://... are resolved and loaded by the connector runtime helpers.