opensemantic 0.2.4

This is the top-level Python namespace package for libraries with Python models derived from page packages that reside under world.opensemantic

opensemantic

Top-level namespace package for Python models derived from OpenSemanticWorld page packages.

Builds on oold-python (LinkedBaseModel, BaseController, cast(), type registry, backend resolution).

Key exports

• OswBaseModel - base class for all opensemantic data models
• compute_scoped_uuid(parent_uuid, child_id) - deterministic UUID generation scoped to a parent entity

from opensemantic import OswBaseModel, compute_scoped_uuid

OswBaseModel (extends oold LinkedBaseModel)

Adds opensemantic-specific features on top of oold's LinkedBaseModel:

• Auto-name from label: if name is not provided, auto-generated from label[0].text using PascalCase
• Auto-UUID: if uuid is not provided, a random uuid4 is generated. Override _init_uuid(**data) for deterministic UUIDs
• get_osw_id(): returns OSW<uuid_without_dashes>. Handles composite subobject IDs (OSW<parent>#OSW<child>)
• get_iri(): returns <namespace>:<osw_id> (e.g. Item:OSW..., Category:OSW...)

Features inherited from oold (LinkedBaseModel): cast(), to_json(), from_json(), __iris__ range field handling, _types registry, backend resolution. See the oold README.

Pydantic v1 and v2

All opensemantic packages maintain dual model versions:

• opensemantic.<pkg> / opensemantic.<pkg>._model - Pydantic v2 (default)
• opensemantic.<pkg>.v1 / opensemantic.<pkg>.v1._model - Pydantic v1

from opensemantic.core.v1 import Label      # v1
from opensemantic.core import Label          # v2 (default)

Namespace package structure

To mimic the hierarchy and naming conventions of the page packages listed under [OpenSemanticWorld-Packages] (https://github.com/OpenSemanticWorld-Packages), we have created this namespace package. Eventually it will contain own Python modules that represent dependencies of the subpackages later on.

All the page packages that share the prefix world.opensemantic will be placed under this namespace package. This 'plugged-in packages' or 'subpackages' will state this package as a dependency in their setup.cfg file.

A short primer on namespace packages

Namespace packages are a way to split a single Python package across multiple directories (or repositories). In our case, this is useful because it allows to create a modular library of packages that can be developed and maintained independently.

A standard Python package with src layout, created with the pyscaffold command line tool, could look like this:

projectname/  <- repository name, usually the same as the package name
├─ src/
│  └─ packagename/
│     ├─ __init__.py
|     ├─ modulename.py
|     ├─ submodulename1/
|     |  ├─ __init__.py
|     |  └─ module_within_submodule1.py
|     └─ submodulename2/
|        ├─ __init__.py
|        └─ module_within_submodule2.py
├─ setup.cfg
├─ setup.py
└─ ...

Namespace packages allow to split this up into separate repositories, while still being able to import the submodules into a shared namespace as before. The world.opensemantic namespace package is an example of this.

The namespace package:

projectname/  <- repository name, usually the same as the package name
├─ src/
│  └─ packagename/
│     └─ ...  <- no __init__.py file required if no Python modules are contained on this level
├─ setup.cfg
├─ setup.py
└─ ...

The 'plugged-in' subpackage1:

other_projectname1/
├─ src/
│  └─ packagename/
|     └─ submodulename1/
|        ├─ __init__.py
|        └─ module_within_submodule1.py
├─ setup.cfg
├─ setup.py
└─ ...

The 'plugged-in' subpackage2:

other_projectname2/
├─ src/
│  └─ packagename/
|     └─ submodulename2/
|        ├─ __init__.py
|        └─ module_within_submodule2.py
├─ setup.cfg
├─ setup.py
└─ ...

Note: If an (implicit) namespace package contains own Python modules, those become unavailable on the installation of subpackages into this namespace. To avoid this, the namespace package must deviate from the implicit namespace package approach, described in PEP 420, and contain an __init__.py file with the following content:

from pkgutil import extend_path

__path__ = extend_path(__path__, __name__)

Create a new subpackage

To create a new subpackage, you can use the PyScaffold command line tool. For example, to create a new subpackage called world.opensemantic.example, you can run the following command:

putup packagename.submodulename --package submodulename --namespace packagename -i

Here is an example of the complete command used to create the opensemantic.core package:

putup opensemantic.core-python --package core --namespace opensemantic --no-skeleton --markdown --pre-commit --github-actions --license AGPL-3.0-only --url https://github.com/OpenSemanticWorld-Packages/opensemantic.core-python --description "Library with Python models derived from the page package world.opensemantic.core" -i

Breaking down the command:

• putup: calls the PyScaffold command line tool
• opensemantic.core-python: the name of the package (directory) to be created
• --package core: the name of the subpackage to be created
• --namespace opensemantic: the namespace package under which the subpackage will be placed
• --no-skeleton: do not create a skeleton for the package
• --markdown: use Markdown formatting throughout the package
• --pre-commit: set up pre-commit hooks
• --github-actions: set up GitHub Actions, for automated publishing to PyPI
• --license AGPL-3.0-only: set the license to AGPL-3.0-only
• --url ...: the URL of the repository
• --description ...: a short description of the package, same as the repository description
• -i: interactive mode, to confirm the settings in your default text editor. Save and close the editor to continue package creation

After package creation we advise to:

• Make adjustments to the setup.cfg
  • Add the repository url to the project_urls section (update Documentation = ...)
  • Set python_requires = >=3.8
  • Remove the line importlib-metadata; python_version<"3.8" from the install_requires list
  • Add opensemantic and other requirements to the install_requires list
• Change the __init__.py accordingly:
  • Remove content required for python 3.7 and below
  • Add the following content, if the subpackage should also act as a namespace package for other sub-subpackages:

    from pkgutil import extend_path
    
    __path__ = extend_path(__path__, __name__)
    

• In the terminal, run:
  • pre-commit autoupdate to update the pre-commit hooks
  • pre-commit run --all-files to run the pre-commit hooks on all files so that the whole repository complies with the updated hooks
  • git remote add origin <repository git URL> to add the remote repository URL`
• Now commit and push the changes to the repository
• (Passive) Continuous Integration (CI) is set up with GitHub Actions, so the CI pipeline will run automatically on push and publish this package to PyPI if the pipeline is successful.
• If it fails, consult the logs and fix the issues (e.g. PyPI token missing in repo/org secrets, etc.)

Note

This project has been set up using PyScaffold 4.6. For details and usage information on PyScaffold see https://pyscaffold.org/.