meigenai-io

Python metadata and integration helper package for meigenai.io.

meigenai-io provides a small, importable Python layer for Meigen AI publishing, website metadata, and local content automation workflows. The package is intentionally lightweight, but the published metadata is complete: it exposes the production website URL, documentation URL, source repository, local repository path, content path, and Next.js app path used by the site.

This package is useful as a stable integration point for scripts that generate content, inspect website structure, publish MDX files, or attach site metadata to automation output. It follows the same package-page pattern used by broader SDK-style placeholder packages: clear installation instructions, concrete usage examples, package metadata, and direct links back to the target website.

Installation

Install from PyPI:

pip install meigenai-io

Upgrade to the latest published version:

pip install --upgrade meigenai-io

Quick Start

from meigenai_io import HOMEPAGE, hello, get_site_info

print(hello())
print(HOMEPAGE)
print(get_site_info())

Expected output includes the public website URL:

https://meigenai.io

Metadata API

The package exposes simple constants for direct imports:

from meigenai_io import (
    HOMEPAGE,
    DOCUMENTATION,
    PACKAGE,
    REPOSITORY,
    LOCAL_REPOSITORY,
    CONTENT_PATH,
    APP_PATH,
)

You can also retrieve everything at once:

from meigenai_io import get_site_info

site = get_site_info()

print(site["name"])
print(site["homepage"])
print(site["content_path"])
print(site["app_path"])

Returned metadata:

{
    "name": "meigenai.io",
    "homepage": "https://meigenai.io",
    "documentation": "https://meigenai.io/docs",
    "package": "meigenai-io",
    "repository": "https://github.com/youram470-art/meigenai-io-python",
    "local_repository": "/Users/mac/Documents/code/meigenai",
    "content_path": "content",
    "app_path": "src/app",
}

Automation Example

The metadata can be used in release scripts, blog generators, indexing tools, or site maintenance commands:

from pathlib import Path
from meigenai_io import get_site_info

site = get_site_info()
content_dir = Path(site["local_repository"]) / site["content_path"]
app_dir = Path(site["local_repository"]) / site["app_path"]

print(f"Website: {site['homepage']}")
print(f"Content directory: {content_dir}")
print(f"Next.js app directory: {app_dir}")

Use Cases

• Keep a Python package name reserved for Meigen AI related tooling.
• Provide a clean PyPI page that points back to https://meigenai.io.
• Share website metadata across scripts without duplicating hard-coded paths.
• Support Meigen AI website automation, content indexing, and package metadata reuse.
• Help publishing tools locate content and src/app consistently.

Project Layout

The related website project is organized around local content and Next.js app routes:

Local repository: /Users/mac/Documents/code/meigenai
Content path:     content
Next.js app path: src/app

Use it when a Python script needs to know where the Meigen AI content lives, which public URL should be attached to generated output, or which repository owns the package metadata.

Links

• Website: https://meigenai.io
• Documentation: https://meigenai.io/docs
• Source: https://github.com/youram470-art/meigenai-io-python
• PyPI: https://pypi.org/project/meigenai-io/

License

MIT