GlenWillms / stockappworld-glen

F5 Agility Lab Template

Introduction

This repo contains a template that should be used when creating lab documentation for F5's Agility Labs.

Setup

1. Download or git clone the f5-agility-lab-template
2. Download and install Docker CE (https://docs.docker.com/engine/installation/)
3. Build the sample docs ./containthedocs-build.sh. The first time you build a container (~1G in size) will be downloaded from Docker Hub.
4. Open the docs/_build/html/index.html file on you system in a web browser

Configuration & Use

To use this template:

1. Copy contents of this repo to a new directory cp -Rf . /path/to/your/docs
2. cd /path/to/your/docs
3. Edit docs/conf.py
4. Modify the following lines:
   • classname = "Your Class Name"
   • github_repo = "https://github.com/f5devcentral/your-class-repo"
5. Build docs ./containthedocs-build.sh (see Build Scripts below)
6. Open the docs/_build/html/index.html file on you system in a web browser
7. Edit the *.rst files as needed for your class
8. Rebuild docs as needed using ./containthedocs-build.sh

Converting from Microsoft Word

To convert a .docx file from Microsoft Work to reStructuredText:

1. Copy your .docx file into the f5-agility-lab-template directory
2. Run ./containthedocs-convert.sh <filename.docx>
3. Your converted file will be named filename.rst
4. Images in your document will be extracted and placed in the media directory

Warning

While the document has been converted to rST format you will still need to refactor the rST to use the structure implemented in this template.

Build Scripts

The repo includes build scripts for common operations:

• containthedocs-bash.sh: Run to container with a BASH prompt
• containthedocs-build.sh: Build HTML docs using make -C docs html to docs/_build/html
• containthedocs-clean.sh: Clean the build directory using make -C docs clean
• containthedocs-cleanbuild.sh: Clean the build directory and build HTML docs using make -C docs clean html
• containthedocs-convert.sh: Convert a Word .docx file to rST