The Zuul Building Blocks Index (aka Zubbi) makes it easy to search for available jobs and roles ("Building Blocks") within a Zuul based CI system - even if they are spread over multiple tenants or repositories.

Architecture

Zubbi consists of two parts, zubbi web and zubbi scraper. It uses Elasticsearch as storage backend and needs Git repositories as source for job and role definitions.

Zubbi web

A web frontend based on Flask that reads the data from Elasticsearch. It allows searching for roles and jobs used within the CI system and shows the results including their documentation, last updates, changelog and some additional meta data.

Zubbi scraper

A Python application that scrapes Git repositories, searches for job and role definitions in specific files and stores them in Elasticsearch.

Quickstart

Prerequisites: Docker Compose

Zubbi can simply be started by using the provided docker-compose.yaml file.

NOTE The provided Dockerfile should only be used for demonstration purposes and not in a production system. Flask is running in development mode and listens on all public IPs to make it reachable from outside the docker container.

To get the whole stack up and running, do the following:

$ cd docker
$ docker-compose build
$ docker-compose up

This will build the docker container with the newest Zubbi version, start all necessary services (Elasticsearch, zubbi-scraper, zubbi-web) and does a full scrape of the openstack-infra/zuul-jobs repository to get an initial set of data.

When everything is up, you can visit http://localhost:5000 and explore the jobs and roles from the openstack-infra/zuul-jobs repo.

Development

Prerequisites: Python 3.6, Tox and Pipenv installed.

To install necessary dependencies for development, run:

$ pipenv shell
$ pipenv install --dev

We are using black to ensure well-formatted Python code. To automatically ensure this on each commit, you can use the included pre-commit hook. To install the hook, simply run:

$ pre-commit install

Before submitting pull requests, run tests and static code checks using tox:

$ tox

Installing & updating dependencies

New dependencies should be added to the requires list in the setup.py file:

requires = [
    "arrow",
    "click",
    ...,
    "<new dependency>",
]

Afterwards, run the following command to update the Pipfile.lock and install the new dependencies in your local pipenv environment:

$ pipenv update

Test dependencies should be installed as development dependencies:

$ pipenv install --dev my-test-dependency

To update the dependencies to the latest version or after a new dependency was installed you have to run tox -e update-requirements and commit the changed Pipenv and requirements files.

Configuring and starting Zubbi

If you followed the Development guide so far, you should already have a virtual environment with all required packages to run Zubbi. What's left, are a few configuration files and a local Elasticsearch instance for testing.

Elasticsearch

Zubbi is currently depending on Elasticsearch as data backend. If you have Docker Compose installed, you can use the provided docker-compose.yaml file to start Elasticsearch locally.

$ cd docker
$ docker-compose up elasticsearch

If not, we recommend to use the latest available Elasticsearch Docker image, to get a local instance up and running for development.

Configuration

Both - Zubbi scraper and Zubbi web - read their configuration from the file path given via the ZUBBI_SETTINGS environment variable:

$ export ZUBBI_SETTINGS=$(pwd)/settings.cfg

In order to show jobs and roles in Zubbi, we need to provide a minimal tenant configuration containing at least a single repository (which is used as source). Therefore, put the following in a tenant-config.yaml file:

- tenant:
    name: openstack
    source:
      openstack-gerrit:
        untrusted-projects:
          - openstack-infra/zuul-jobs

Put the following in your settings.cfg to allow scraping based on the tenant configuration above and store the results in the local Elasticsearch instance. Please note, that the key in the CONNECTIONS dictionary must go in hand with the source names in the tenant configuration.

ELASTICSEARCH = {
    'host': 'localhost',
    'port': 9200,
}

TENANT_SOURCES_FILE = 'tenant-config.yaml'

CONNECTIONS = {
    'openstack-gerrit': {
        'provider': 'git',
        'git_host_url': 'https://git.openstack.org',
    },
}

Running Zubbi

Now we can scrape the openstack-infra/zuul-jobs repository to get a first set of jobs and roles into Elasticsearch and show them in Zubbi:

$ zubbi-scraper scrape --full

When the scraper run was successful, we can start Zubbi web to take a look at our data:

$ export FLASK_APP=zubbi
$ export FLASK_DEBUG=true
$ flask run

Building the syntax highlighting stylesheet with pygments

We are using a pre-build pygments stylesheet to highlight the code examples in job and roles documentations. In case you want to rebuild this syntax highlighting stylesheet (e.g. to try out another highlighting style) you can run the following command:

$ pygmentize -S default -f html -a .highlight > zubbi/static/pygments.css

Scraper usage

The Zubbi scraper supports two different modes: periodic (default) and immediate. To start the scraper in periodic mode, simply run:

$ zubbi-scraper scrape

This should also scrape all repositories specified in the tenant configuration for the first time.

To immediately scrape one or more repositories, you can use the following command:

# Scrape one or more repositories
$ zubbi-scraper scrape --repo 'orga1/repo1' --repo 'orga1/repo2'

# Scrape all repositories
$ zubbi-scraper scrape --full

Additionally, the scraper provides a list-repos command to list all available repositories together with some additional information like the last scraping timestamp and the git provider (connection type):

$ zubbi-scraper list-repos

Configuration examples

Examples for all available settings can be found in settings.cfg.example.

Tenant Configuration

Zubbi needs to know which projects contain the job and role definitions that are used inside the CI system. To achieve this, it uses Zuul's tenant configuration. Usually, this tenant configuration is stored in a file that must be specified in the settings.cfg, but it could also come from a repository.

# Use only one of the following, not both
TENANT_SOURCES_FILE = '<path_to_the_yaml_file>'
TENANT_SOURCES_REPO = '<orga>/<repo>'

Elasticsearch Connection

The Elasticsearch connection can be configured in the settings.cfg like the following:

ELASTICSEARCH = {
    'host': '<elasticsearch_host>',
    'port': 9200,  # default
    'user': '<user>',
    'password': '<password>',
    # Optional, to avoid name clashes with existing ES indices from other applications
    # E.g. 'zubbi' will result in indices like 'zubbi-zuul-jobs', 'zubbi-ansible-roles', ...
    index_prefix: '<prefix>',
    # Optional, to enable SSL for the Elasticsearch connection.
    # You must at least set 'enabled' to True and provide other parameters if the default
    # values are not sufficient.
    'tls': {
        'enabled': False,  # default
        'check_hostname': True,  # default
        'verify_mode': 'CERT_REQUIRED',  # default
    },
}

Available Connections

Currently, Zubbi supports the following connection types: GitHub, Gerrit and Git. The latter one can be used for repositories that are not hosted on either GitHub or Gerrit.

GitHub

The GitHub connection uses GitHub's REST API to scrape the repositories. To be able to use this connection, you need to create a GitHub App with the following permissions:

Repository contents: Read-only
Repository metadata: Read-only

If you are unsure about how to set up a GitHub App, take a look at the official guide.

Once you have successfully created your GitHub App, you can define the connection with the following parameters in your settings.cfg accordingly:

CONNECTIONS = {
    '<name>': {
        'provider': 'github',
        'url': '<github_url>',
        'app_id': <your_github_app_id>,
        'app_key': '<path_to_keyfile>',
    },
    ...
}

Using GitHub Webhooks

GitHub webhooks can be used to keep your Zubbi data up to date. To activate GitHub webhooks, you have to provide a weebhook URL pointing to the /api/webhook endpoint of your Zubbi web installation. The generated webhook secret must be specified in the GITHUB_WEBHOOK_SECRET setting in your settings.cfg:

NOTE: As of now, GitHub webhooks are not supported on a per-connection base. You can only have one webhook active in zubbi.

GITHUB_WEBHOOK_SECRET = '<secret>'

Zubbi web receives webhook events from GitHub, validates the secret and publishes relevant events to the scraper via ZMQ. The Zubbi scraper on the other hand subscribes to the ZMQ socket and scrapes necessary repositories whenever a event is received. In order to make this communication work, you need to specify the following parameters in your settings.cfg:

# Zubbi web (publish)
ZMQ_PUB_SOCKET_ADDRESS = 'tcp://*:5556'
# Zubbi scraper (subscribe)
ZMQ_SUB_SOCKET_ADDRESS = 'tcp://localhost:5556'

Gerrit

In contrary to GitHub, the Gerrit connection is based on GitPython as the Gerrit REST API does not support all use cases. To use this connection, you have to provide the following parameters in your settings.cfg:

CONNECTIONS = {
    '<name>': {
        'provider': 'gerrit',
        'url': '<git_remote_url>',
        # Only necessary if different from the git_remote_url
        'web_url': '<gerrit_url>',
        # The web_type is necessary to build the correct URLs for Gerrit.
        # Currently supported types are 'cgit' (default) and 'gitweb'.
        'web_type': 'cgit|gitweb',
        # Optional, if authentication is required
        'user': '<username>',
        'password': '<password>',
    },
    ...
}

Git

The Git connection is also based on GitPython and can be used for Git repositories that are not hosted on either GitHub or Gerrit. To use this connection, put the following in your settings.cfg:

CONNECTIONS = {
    '<name>': {
        'provider': 'git',
        'url': '<git_host_url>',
        # Optional, if authentication is required
        'user': '<username>',
        'password': '<password',
    },
    ...
}

Happy coding!

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

README.md

README.md

Architecture

Zubbi web

Zubbi scraper

Quickstart

Development

Installing & updating dependencies

Configuring and starting Zubbi

Elasticsearch

Configuration

Running Zubbi

Building the syntax highlighting stylesheet with pygments

Scraper usage

Configuration examples

Tenant Configuration

Elasticsearch Connection

Available Connections

GitHub

Using GitHub Webhooks

Gerrit

Git

Files

README.md

Latest commit

History

README.md

File metadata and controls

Architecture

Zubbi web

Zubbi scraper

Quickstart

Development

Installing & updating dependencies

Configuring and starting Zubbi

Elasticsearch

Configuration

Running Zubbi

Building the syntax highlighting stylesheet with pygments

Scraper usage

Configuration examples

Tenant Configuration

Elasticsearch Connection

Available Connections

GitHub

Using GitHub Webhooks

Gerrit

Git