Plan v1 modernization for Python package template

[HamidMolareza]

This issue captures the suggested direction for turning this repository into a useful, modern Python package template.

Related: #56

Goal

Revive the project as an opinionated template for Python projects that may later be published as Python packages. The value should be in developer experience: fast project bootstrap, clear packaging defaults, CI, release flow, and enough validation to trust the generated scaffold.

Why this is worth doing

This project is still useful if it becomes a practical personal/reusable template rather than a generic placeholder repository. It can help with:

• Learning and practicing modern Python packaging, CI, release, and template design.
• Showing capability around developer tooling and project hygiene in a portfolio.
• Reusing the template for future Python package projects.
• Helping other developers if the template has a clear, opinionated scope.

It is probably not worth treating as a project with direct revenue potential or broad adoption unless it develops a distinct angle.

Suggested scope for v1

• Make the repository itself a real template project, not only a release payload.
• Move or regenerate the current release/* scaffold into a clearer root/template structure.
• Keep the base template minimal and remove app-specific dependencies from the default scaffold.
• Support a simple package/library and optional CLI entry point.
• Use modern pyproject.toml packaging defaults.
• Add a short README that explains exactly what the template is for and what it is not for.
• Add generated-project validation so the template can prove it still works.

Technical cleanup

• Review whether to use plain GitHub template repository, Copier, Cookiecutter, or a small script-based generator.
• Update Python version support and packaging metadata.
• Remove or make optional dependencies such as on_rails, Inject, SQLAlchemy, fake-useragent, and proxy-related packages.
• Fix Pydantic compatibility if any Pydantic-based config remains; current unannotated BaseModel fields are not compatible with Pydantic v2.
• Replace placeholder project metadata with template variables or clear examples.
• Fix obvious sample issues such as the say_hellp typo.
• Update GitHub Actions versions.
• Use docker compose syntax if Docker support remains.

Validation checklist

The template does not need full product-level tests, but it should validate the generated scaffold:

• Generated package installs successfully in a clean environment.
• python -m pytest passes on a small sample test.
• Package can be built into wheel/sdist.
• CLI entry point works if CLI support is enabled.
• Lint/type-check commands are documented and run in CI if included.
• TestPyPI/PyPI publishing instructions are documented without committing secrets.

Suggested non-goals

• Do not include a database, proxy/Tor, HTTP client, dependency injection, or custom result library in the default template.
• Do not try to support every Python project shape.
• Do not optimize for monetization; optimize for reuse, portfolio value, and maintainability.

Proposed decision

Do a limited v1 rebuild instead of archiving immediately. If the template is not reused in future projects after that rebuild, freeze/archive it as historical reference.