synapse-controller
A Python CLI + backend that drives Azure Synapse Analytics from a single
config.yaml. Wraps azure-synapse-artifacts to start, monitor, list, and
cancel pipeline runs, and to run / debug notebooks against a Spark session.
See ARCHITECTURE.md for the architectural source of
truth: stack, layout, config shape, CLI behavior, and project conventions.
Quickstart
uv sync --extra dev
uv run python -m synapse_controller --help
Copy config.example.yaml to config.yaml, fill in your workspace identity,
then:
uv run python -m synapse_controller --config config.yaml --profile dev pipelines list
Note — invoke as
python -m synapse_controller, not as a script entry point. Defender on Belastingdienst-managed Windows blocks executing binaries from.venv\Scripts\, so all tools (black, isort, flake8, mypy, pytest, this CLI) are launched viapython -m.
Notebook output streaming caveat —
notebooks runandnotebooks debugexecute a workspace notebook by submitting each code cell to a Livy Spark session. Synapse's Livy returns a cell's captured output only when the cell finishes, so per-line stdout during a long-running cell is not available. Feedback granularity is one cell.
Development
uv run python -m black .
uv run python -m isort .
uv run python -m flake8 src tests
uv run python -m mypy src tests
uv run python -m pytest
Authentication is always DefaultAzureCredential. Make sure you are signed in
(e.g. az login) before running commands that touch the workspace.
1 maintainer
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