CLI and Resources

OpenPinch ships packaged learning assets in addition to the Python API. The resource helpers are the primary programmatic surface for discovering, inspecting, and copying those assets. The command-line surface is intentionally narrow and only copies notebooks.

Command-Line Interface

The published package currently exposes one CLI subcommand:

• notebook for copying packaged example notebooks

Command-line helpers for packaged OpenPinch notebook assets.

OpenPinch.__main__.build_parser()

Create the CLI argument parser.

Return type:

ArgumentParser

OpenPinch.__main__.main(argv=None)

Execute the OpenPinch CLI.

Parameters:

argv (list[str] | None)

Return type:

int

This means the CLI is an onboarding surface, not a solve surface. Validation, targeting, graph export, Excel export, and dashboard launch all happen through Python.

Packaged Resources

The resources module exposes the packaged sample cases and notebooks used throughout the guides and examples.

The main helpers are:

• list_sample_cases(), sample_case_metadata(), and read_sample_case() for discovery and inspection

• copy_sample_case() for local editable copies

• list_notebooks(), notebook_metadata(), and copy_notebook() for the packaged notebook series

PinchProblem and PinchWorkspace also resolve packaged sample-case names such as basic_pinch.json directly when no local file with the same name exists.

The packaged notebooks are intended to be copied as clean source assets. They ship without stored execution output and rely on the same public PinchWorkspace and plotting surfaces documented elsewhere in RTD. The series is ordered around first solves, Total Site method interpretation, multiperiod studies, advanced Heat Pump screening, direct gas/vapour MVR, VC+MVR cascade mechanics, HEN synthesis, energy-transfer analysis, and schema/service integration.

The current optional install split is:

• openpinch[notebook] for Jupyter, Plotly graph rendering, and Excel I/O

• openpinch[dashboard] for Streamlit plus the same plotting/export stack

• openpinch[synthesis] for solver-backed heat exchanger network synthesis

• openpinch[brayton_cycle] for TESPy-backed Brayton-cycle tooling

• openpinch[full] for every optional surface, including the IDAES/Pyomo synthesis stack; run idaes get-extensions after installation

Helpers for accessing packaged OpenPinch sample cases and notebooks.

class OpenPinch.resources.NotebookMetadata(name, title, description, topics=())

Bases: object

Description of one packaged notebook.

Parameters:

• name (str)

• title (str)

• description (str)

• topics (tuple[str, ...])

class OpenPinch.resources.SampleCaseMetadata(name, title, description, topics=())

Bases: object

Description of one packaged sample case.

Parameters:

• name (str)

• title (str)

• description (str)

• topics (tuple[str, ...])

OpenPinch.resources.copy_notebook(name, destination)

Copy a packaged notebook to destination.

Parameters:

• name (str)

• destination (str | Path)

Return type:

Path

OpenPinch.resources.copy_sample_case(name, destination)

Copy a packaged sample case to destination.

Parameters:

• name (str)

• destination (str | Path)

Return type:

Path

OpenPinch.resources.list_notebooks()

Return the packaged notebook filenames.

Return type:

list[str]

OpenPinch.resources.list_sample_cases()

Return the packaged sample-case filenames.

Return type:

list[str]

OpenPinch.resources.notebook_metadata(name=None)

Return metadata for one or all packaged notebooks.

Parameters:

name (str | None)

OpenPinch.resources.read_sample_case(name)

Return the text of a packaged sample case.

Parameters:

name (str)

Return type:

str

OpenPinch.resources.sample_case_metadata(name=None)

Return metadata for one or all packaged sample cases.

Parameters:

name (str | None)

Packaged Asset Modules

Packaged data assets for examples and notebooks.

Packaged sample cases for OpenPinch user workflows.

Packaged example notebooks for OpenPinch user workflows.

Dashboard Surface

OpenPinch also includes a Streamlit-oriented graphing and dashboard path for interactive exploration after solving a problem. Install openpinch[dashboard] before using this surface.

The repository-level streamlit_app.py module is documented here as a local demo entrypoint for contributors. It is not part of the published wheel. For installed package usage, prefer OpenPinch.PinchProblem.show_dashboard() or OpenPinch.streamlit_webviewer.web_graphing.render_streamlit_dashboard().

Streamlit entry point for exploring OpenPinch analysis results.

Run with streamlit run streamlit_app.py to load the bundled demonstration case and launch the interactive dashboard defined in OpenPinch.streamlit_webviewer.web_graphing.

streamlit_app.validate_problem_path(problem_path)

Stop the Streamlit app early when the configured problem file is missing.

Return type:

None

Where This Fits

Use packaged resources when you want reproducible examples, shareable learning assets, or a fast onboarding path. Use the Python API pages when you need integration into scripts, notebooks, or larger applications.