floe-orchestrator-dagster 0.1.0a1

Dagster orchestrator plugin for the floe data platform

floe-orchestrator-dagster

Dagster orchestrator plugin for the floe data platform.

Overview

This plugin provides Dagster integration for floe, enabling:

• Runtime loading of Dagster Definitions from compiled product projects
• Creation of software-defined assets from dbt transforms
• Helm values for K8s deployment of Dagster services
• OpenLineage event emission for data lineage tracking
• Cron-based job scheduling with timezone support

Installation

pip install floe-orchestrator-dagster

Usage

from pathlib import Path

from floe_orchestrator_dagster.loader import load_product_definitions

# Runtime definitions are loaded through the generated definitions.py shim,
# or directly through the loader when embedding in tests/tools.
definitions = load_product_definitions(
    product_name="customer-360",
    project_dir=Path("/path/to/product"),
)

The product directory must contain compiled_artifacts.json, profiles.yml, and target/manifest.json from the same compile/runtime context. Direct DagsterOrchestratorPlugin.create_definitions() calls only validate artifacts and require the loader path for usable runtime definitions.

from floe_orchestrator_dagster import DagsterOrchestratorPlugin

plugin = DagsterOrchestratorPlugin()

# Get Helm values for deployment
helm_values = plugin.get_helm_values()

Requirements

• Python 3.10+
• Dagster 1.10+
• floe-core 0.1.0+

License

Apache-2.0