flowx

Translate parsed ADF pipeline AST into Databricks IR (intermediate representation). Runs deterministic translators for known activity types, then performs agentic (LLM-assisted) translation for the remaining gaps.

Load and parse Azure Data Factory pipeline definitions from Unity Catalog volumes or local directories. Produces a typed inventory that classifies every activity as deterministic, agentic, or unsupported.

End-to-end migration of Azure Data Factory pipelines to Databricks Lakeflow Jobs. Orchestrates discover, convert, and package phases in sequence.

Prepare flowx to run its phases (discover, convert, package, migrate). In Databricks Genie Code this deploys the phases as an MCP server (a Databricks App) and creates NO virtual environment — all code runs through MCP. Everywhere else it provisions a Python virtual environment for the CLI skills, and optionally a local (stdio) MCP server. Run this once before any other flowx skill, or whenever the environment is missing.

Generate Databricks Declarative Automation Bundles (DABs) from translated IR, including job definitions, notebooks, and setup scripts.