Web application for finding useful tools, data and techniques
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acceptancetests
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bin
lighthouse
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static
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LICENSE
NOTICE.md
README.md
manage.py
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requirements.txt
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README.md

Lighthouse

Lighthouse is a web application for finding tools and sharing data about how those tools are used. You can use it to manage a searchable and collaboratively curated catalog of internal (eg intranet) and/or external (eg internet) links to useful tools. It also helps you see which people, teams and organisations are using which tools.

Install & run

On a Virtual Machine (recommended)

  1. Head to dstl-infrastructure
  2. Follow the instructions to set up the virtual machine (VM)
  3. Run vagrant ssh to ssh onto the VM
  4. cd /opt/lighthouse and you'll be in the NFS-mounted folder which you pointed the VM to with the DSTL_LIGHTHOUSE environment variable on your machine.
  5. Create and activate a virtual environment (env) using source ./bin/virtualenv.sh
  6. Install the Python dependencies using pip install -r requirements.txt and pip install -r requirements_test.txt
  7. Migrate the database using python manage.py migrate (Postgres will be running already)
  8. Run the server using python manage.py runserver 0.0.0.0:3000 or whatever port you prefer, as long as the same IP is used.
  9. In your web browser, navigate to http://10.10.11.10:3000
  10. You should see the Lighthouse homepage.

Not on a Virtual Machine (not recommended)

The steps are the same as above ("On a Virtual Machine") except that they start at step 5 and the IP address in the end will be https://0.0.0.0:3000.

Run the tests

To run all of the tests:

./bin/test.sh

To run an individual test (or test class) in isolation, run:

# eg. just run all the Link model tests
./manage.py test apps.links.tests.test_model

Useful scripts in the bin directory

The bin directory of this repository contains some useful scripts for performing common tasks related to Lighthouse development or deployment.

You will see some common lines in these scripts, such as . ./bin/virtualenv.sh which is usually used at the beginning to ensure that the shell is in the correct virtual environment. Some scripts will use other scripts in the same directory, too.

acceptance-test.sh will run the acceptance test suite, which ensures that the application has been successfully deployed to some accessible environment. This is used by Jenkins in its "Acceptance Test" job.

addcopyright.sh ensures that a DSTL Copyright comment is present at the top of all proprietary code within the repository. You may run it whenever you have created a new file before pushing the file to the remote repo.

deploy.sh will run the deploy-related commands including migrating the database, rebuilding the search index, compressing static assets (such as SCSS → CSS and disjointed JS → compiled and compressed JS), and finally collecting static assets into a folder from where they are to be served.

jenkins.sh is intended to be run by Jenkins against a branch to ensure that it has 'passed'. This includes running all the tests (excl. acceptance) and doing a pep8 style check using style.sh.

pip-download.sh will make sure Python dependencies are downloaded to somewhere local as long as Internet access is available.

pip-install.sh will install the Python dependencies downloaded by pip-download.sh. These two scripts work together as part of the process of installing Lighthouse onto an offline environment.

style.sh runs a pep8 style check against the entire Python codebase. It may need to be edited when build-in globals are added to the codebase, e.g. with FileNotFoundError

test.sh runs all the tests excluding acceptance tests.

virtualenv.sh will create a virtual environment for the app to store dependencies, and will also return the location of that environment's activate binary. So in order to quickly get into a virtual environment you can type source ./bin/virtualenv.sh.

How does it look?

It should look a little bit like this:

A screenshot of Lighthouse

API

Lighthouse provides a (very) limited RESTful API. The documentation can be found in the repo under apps/api/documentation and linked from the footer in a running instance of the lighthouse code.

Backup and restore

All data in a running lighthouse instance is kept in PostgreSQL. To back up the data, on the database machine run:

pg_dump lighthouse > backup.`date +%F`.sql

Don't forget to move the backup file off the machine.

If/when you need to restore the database from a backup, copy the most recent backup file onto the database machine, and run:

psql lighthouse < backup.*.sql

With both commands, if you have overridden the database name (using the LIGHTHOUSE_DB environment variable), you will need to replace lighthouse with that.

How to modify static assets

Lighthouse contains some "static" content assets which are not generated at runtime in the sense that a user's detail page is generated at runtime. The types of static content are images and pages, and sometimes you'll need to change them.

Modifying images

At the time of this writing there's onyl one image being used in Lighthouse, and that's the logo which appears in the top-left of the page. This logo is originally stored in the lighthouse-secrets repository in a folder called <nameofenvironment>-assets (for example preview-assets) as logo.png. If you want to change the image for any of the environments, find the appropriate folder in the lighthouse-secrets repo and replace the image. It should be updated when you next deploy.

Modifying pages

At time of writing there are two pieces of static text content on the Lighthouse site: the "About" page and the "API Documentation" page.

The About page is the most straightforward. In the apps/staticpages/pages/ directory there's a file called about.md. This is a Markdown file. If you aren't familiar with it, Markdown is a simple text format which renders to HTML. It is inspired by 1990s plain-text email convention and in fact, even if you simply write plain text, Markdown will render nicely to HTML. Here's some Markdown:

# This is a header

This is a paragraph.

Another paragraph.

## A smaller header.

Another paragraph!

You get the picture. More information is available on the Markdown Syntax Documentation Page.

The about page is located at /about because of the name of that Markdown file. If you put another one in that directory called contact.md, then the URL /contact would suddenly become whatever is in that file, rendered as HTML.

The API Documentation pages are a little more complicated but still fairly straightforward to change. The directory apps/api/documentation contains some markdown files which become available in their HTML-rendered form at /api/docs/, where index.md is the file which appears when you use just that path. On the other hand, /api/docs/link-usage is generated from the link-usage.md file.

So as you can probably tell, to create a new page such as /api/docs/user-usage, you'd create a new file called user-usage.md inside of apps/api/documentation.

Advanced static pages modification

The files in apps/staticpages/pages/ are turned into HTML pages by using the StaticPageViewBase class in apps/staticpages/views.py. The URLs are configured in lighthouse/urls.py.

The API documentation pages merely extend the StaticPageViewBase class in apps/api/views.py, so you could do something like that to start serving static pages from a new directory if you like.