Add package for onboarding

.github/workflows/publish.yml

@@ -0,0 +1,81 @@
+name: Publish Package to PyPI
+
+permissions:
+  contents: write
+  id-token: write
+
+on:
+  push:
+    tags:
+      - "v*"
+  workflow_dispatch:
+
+jobs:
+  build-and-publish:
+    name: Build and publish Python distribution to PyPI
+    runs-on: ubuntu-latest
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v5
+        with:
+          version: "0.9.7"
+          enable-cache: true
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version-file: ".python-version"
+
+      - name: Install the project
+        run: uv sync --no-dev
+
+      - name: Build package
+        run: uv build
+
+      - name: Verify package contents
+        run: |
+          echo "=== Contents of dist/ ==="
+          ls -lh dist/
+          echo ""
+          echo "=== Wheel contents ==="
+          unzip -l dist/*.whl || true
+          echo ""
+          echo "=== Tarball contents ==="
+          tar -tzf dist/*.tar.gz || true
+
+      - name: Publish package to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          password: ${{ secrets.PYPI_API_TOKEN }}
+          verbose: true
+
+      - name: Create GitHub Release
+        uses: ncipollo/release-action@v1
+        with:
+          artifacts: "dist/*"
+          generateReleaseNotes: true
+          body: |
+            ## Installation
+            ```bash
+            pip install aieng-platform-onboard
+            ```
+
+            ## Usage
+
+            ### Basic Onboarding
+            ```bash
+            onboard --bootcamp-name <bootcamp-name>
+            ```
+
+            ### With Integration Tests
+            If you have a test script to verify API keys:
+            ```bash
+            onboard --bootcamp-name <bootcamp-name> --skip-test
+            python path/to/test_keys.py
+            ```
+
+            Or let onboard run your test script automatically by placing it in the same directory as the CLI.

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
-name = "aieng-platform"
+name = "aieng-platform-onboard"
 version = "0.1.0"
-description = "Platform infrastructure and tooling for AI Engineering bootcamps"
+description = "CLI tool for onboarding participants to AI Engineering bootcamps"
 readme = "README.md"
 authors = [{name = "Vector AI Engineering", email = "[email protected]"}]
 license = "Apache-2.0"
@@ -15,16 +15,25 @@ dependencies = [
     "weaviate-client>=4.0.0",
     "requests>=2.31.0",
     "python-dotenv>=1.0.0",
-    "pandas>=2.0.0",
     "rich>=13.0.0",
 ]
 
+[project.scripts]
+onboard = "aieng_platform_onboard.cli:main"
+
 [build-system]
 requires = ["hatchling"]
 build-backend = "hatchling.build"
 
 [tool.hatch.build.targets.wheel]
-only-include = ["README.md"]
+packages = ["src/aieng_platform_onboard"]
+
+[tool.hatch.build.targets.sdist]
+include = [
+    "/src/aieng_platform_onboard",
+    "/README.md",
+    "/pyproject.toml",
+]
 
 [dependency-groups]
 dev = [

src/aieng_platform_onboard/__init__.py

@@ -0,0 +1,12 @@
+"""
+aieng-platform-onboard: CLI tool for bootcamp participant onboarding.
+
+This package provides a command-line interface for onboarding participants
+to AI Engineering bootcamps, handling authentication, API key distribution,
+and environment setup.
+"""
+
+from aieng_platform_onboard.cli import main
+
+
+__all__ = ["main"]