cf-setup 0.1.6

Manifest-driven Cogniflow workspace setup orchestration

cf-setup

cf-setup is the first-party setup orchestrator for the Cogniflow Windows workspace.

It centralizes:

• module and profile definitions
• deterministic install planning
• PyPI vs local-build vs editable source decisions
• Windows prerequisite diagnostics
• delegated native or frontend build steps
• post-install hooks
• structured installation reporting

Typical usage:

py -3.14 -m cf_setup plan --profile core --format json
py -3.14 -m cf_setup diagnose --provider windows --format json
py -3.14 -m cf_setup install --dev --profile full --editable cf-pipeline-engine
py -3.14 -m cf_setup incremental --module cf-basic-io --smoke

The dedicated bootstrap entrypoint is cf-setup-bootstrap ...; it bootstraps Python and delegates orchestration into cf_setup.

cf_setup now supports two practical modes:

• repository mode: used by the local cf_setup bootstrap and workspace maintainers
• distribution mode: used when cf install runs without a repository checkout and must rely on packaged manifest resources plus published package artifacts

For repository users, the recommended public-facing workflow is now pip install cogniflow followed by cf install --dev. Internally, --dev is a CLI alias for repository mode.

In distribution mode, cf install now also prepares the user workspace under ~/.cogniflow/workspace by default, initializes the semantics store files, and runs installed-step ingestion so the environment is usable immediately after setup.

cf install --run-demo in distribution mode now runs a small published demo from packaged cf-setup demo resources. The demo uses the same semantics-runtime discovery and ingestion framework that loads packaged ontology N-Quads and installed step packages into the workspace store, rather than a separate legacy demo path.

Incremental Development

The cf_setup bootstrap remains the hard full-reset bootstrap and demo gate when you need a repo-local entrypoint.

For faster local iteration, cf_setup incremental updates only the requested first-party module scope plus its compile and tooling prerequisites:

py -3.14 -m cf_setup incremental --module cf-basic-io --smoke
py -3.14 -m cf_setup incremental --module cf-package-contracts --run-demo

Key behavior:

• no factory reset
• no global uninstall of all managed packages
• same native toolchain environment as the full installer
• pip check still runs
• installed-step ingestion still runs when step packages are in scope
• --run-demo remains optional and reuses the maintained semantics-runtime demo path

Publishing

cf-setup is prepared for the dedicated Windows workflow:

• Workflow: .github/workflows/cf_setup_windows_publish.yml
• Package directory: sandcastle/cf_setup
• PyPI tag: cf-setup-v<version>
• TestPyPI tag: cf-setup-v<version>-test
• Release order: publish cf-core-cli 0.1.5 first, then cf-setup, then cf-setup-wizard, then cogniflow

Local preflight:

powershell -ExecutionPolicy Bypass -File scripts/mimic_windows_python_publish_workflow.ps1 `
  -WorkflowFile .github/workflows/cf_setup_windows_publish.yml `
  -PackageDir sandcastle/cf_setup `
  -PythonExe py `
  -PythonVersion 3.14

Queue a dry-run dispatch:

powershell -ExecutionPolicy Bypass -File scripts/queue_windows_python_publish_workflow.ps1 `
  -WorkflowFile .github/workflows/cf_setup_windows_publish.yml `
  -PackageDir sandcastle/cf_setup `
  -PublishTarget testpypi `
  -Ref main `
  -RequireLocalPass `
  -DryRun `
  -ReleaseTag cf-setup-v0.1.3-test