All Projects → Wiredcraft → Pipelines

Wiredcraft / Pipelines

Licence: mit
Build pipelines for automation, deployment, testing...

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.. image:: https://travis-ci.org/Wiredcraft/pipelines.svg?branch=dev

Pipelines

.. image:: https://cloud.githubusercontent.com/assets/919180/20129399/425a0c2a-a68a-11e6-82ef-b252424a4b48.png :align: center :alt: Pipeline UI screenshot

Pipelines is a simple tool with a web UI to manage running tasks. It supports running tasks manually through a Web UI or automatically via webhooks.

Pipelines is composed of three components:

  • Web UI : User interface that allows users to run tasks, inspect logs and show the task details. It also support username/password authentication.
  • Pipelines API : This is the backend for the Web UI and webh
  • Pipelines library : This component includes core logic for running pipelies such as reading task definitions, handling logging and running the pipelines.

Pipelines is primarily developed to run on Linux / MacOS. Windows support is not available at the moment.

Installation

Requirements:

  • python 2.7 (other versions not tested)
  • pip

Base install

.. code-block:: bash

pip install pipelines

Or get the latest dev version from Github <https://github.com/Wiredcraft/pipelines>_ and run pip install . from within the cloned repo. Or run pip directly from git pip install git+git://github.com/Wiredcraft/[email protected].

Configuration

Pipelines runs solely on files. No database is currently required. All the pipelines, the logs of each run and various temporary files are stored under the workspace folder.

Workspace is a folder that needs to be specified when running pipelines.

.. code-block:: bash

mkdir ~/pipelines_workspace

Drop your pipelines files (see format below) directly at the root of this folder.

Run standalone

Start the API with the following:

.. code-block:: bash

pipelines server --workspace ~/pipelines_workspace --username admin --password admin

You may want to specify a different binding IP address (default: 127.0.0.1) or different port (defaut: 8888). Refer to the pipelines --help for additional parameters.

You can now access pipelines at http://localhost:8888

How to run as a daemon

Create a dedicated user to run pipelines

.. code-block:: bash

# Create a pipelines user
useradd -m -d /var/lib/pipelines -s /bin/false pipelines

# Create the workspace folder (optional)
mkdir /var/lib/pipelines/workspace
chown -R pipelines. /var/lib/pipelines

# Create a SSH key pair (optional)
sudo -u pipelines ssh-keygen

You may want to rely on supervisord to run the API.

.. code-block:: bash

# Ubuntu / Debian
apt-get install supervisor

# CentOS / RedHat (to confirm)
yum install supervisord

Copy and adapt de config file from etc/supervisor/pipelines.conf to /etc/supervisor.

.. code-block:: bash

# Update and reload supervisord
supervisorctl reread
supervisorctl update
supervisorctl start pipelines

Access the web interface at http://localhost:8888

Additionaly you may want to use nginx as reverse proxy as well. See sample config from etc/nginx.

Authentication

Static authentication


You can define a static admin user by specifying the following options when running pipelines:

.. code-block:: bash

    --username ADMIN_USER
    --password ADMIN_PASS


Github Oauth
````````````

**This is an experimental feature**

You can add ``oauth`` support from Github to allow **teams** to access pipelines. You will need to set it by using environment variables for the Oauth Apps, and the ``--github-auth`` to limit teams access.

To get your OAUTH Key and Secret:
- Register new application in Github: https://github.com/settings/applications/new
- Only field on that form that is important is the `Authorization callback URL`. This should point to your pipelines, for example if you run it locally it should be `http://localhost:8888/ghauth`. The last part (`/ghauth`) always stays the same.
- Copy the `Client ID` and `Client Secret` from that page.

To start the pipelines server with Github OAuth enabled.

.. code-block:: bash
  
    GH_OAUTH_KEY=my_oauth_app_key \
    GH_OAUTH_SECRET=my_super_secret \
    pipelines server [--options] --github-auth=MY_ORG/MY_TEAM[,MY_ORG/ANOTHER_TEAM]

**Note**: If you use Github Oauth, you will **not** be able to use static authentication.

Pipelines file format
=====================

Pipeline definition file uses YAML syntax. A few examples below.
Pipelines files are meant to be put at the root of your workspace.

Simple example
--------------

This is a very basic pipeline definition. Save it in your workspace within a ``.yaml`` file (e.g. ``WORKSPACE/example-pipeline.yaml``). It does ... nothing really useful TBH.

.. code-block:: yaml

    ---
    # Pipeline definitions are standard yaml and you can include comments inside
    
    # Variables are exposed to all actions through {{ varname }} syntax.
    vars:
        code_branch: dev
    
    # Triggers define the automated ways to run the task. In addition to manual execution 
    # through the UI, only webhook is supported for now.
    triggers:
        - type: webhook
    
    # Actions are the steps that are run for this pipeline. The default action plugin is bash, 
    # but you can use others by defining the "type" field.
    actions:
        - 'echo "Starting task for {{ code_branch }}"'
        - name: 'My custom name step'
          type: bash
          cmd: "echo 'less compact way to define actions'"
        - 'ls -la /tmp'


Vars
----

The ``vars`` section of the pipeline definition defines variables that will then be available in any of the actions.

.. code-block:: yaml

    vars:
        my_var: something

    actions:
        - echo {{ my_var }}

You can then use the variables as seen above. 

**Note**:

- You may have to quote `"` your vars to respect the YAML format.


Prompts
-------

You can prompt users to manually input fields when they run the pipeline through the web-UI. To do this add a ``prompt`` section to your pipeline definition. The ``prompt`` fields will **override** the variables from the ``vars`` section.

You can alternatively provide a list of acceptable values; the prompt will then appear as a select field and let you choose from the available values

.. code-block:: yaml

    vars:
        # This is the default value when triggered and no prompt is filled (e.g. via webhook)
        my_var: default_no_prompt

    prompt:
        # This is the default value when triggered via the web UI
        my_var: default_with_prompt

        # This will appear as a select field
        my_var_from_select:
            type: select
            options:
                - value1
                - value2

    actions:
        # This will display:
        #    "default_no_prompt" when call via webhook
        #    "default_with_prompt" when call via UI but keeping the default
        #    "other" when call via UI and "other" is inputted by the user
        - echo {{ my_var }}

        # Depending on the selected value, will display value1 or value2
        - echo {{ my_var_from_select }}


Actions
-------

Default actions use the ``bash`` plugin and will execute command as if they were shell commands.

Other actions can be used by specifying another ``type``. Supported types currently are:

- ``bash``: run bash command.
- ``python``: write inline script or run python script inside a virtualenv.
- ``slack``: send message to Slack.

bash
````

See example above.

python
``````

The ``python`` plugin allows to run python scripts or inline python code.

.. code-block:: yaml

    actions:
      - type: python
        script: |
          import json
          a = {'test': 'value', 'array': [1,2,3]}
          print json.dumps(a, indent=2)
      - type: python
        virtualenv:  /opt/venvs/my_env
        file: '/tmp/some_script.py'


Explanation of the fields:

- **script**: inline python code to be run against the python interpreter.
- **file**: run a python script.
- **virtualenv**: run the python code (inline or file) inside a virtualenv.

**Note**:

- The path of either ``virtualenv`` folder or ``file`` need to exist and be on the server. It is currently set relatively to the CWD where the **Pipelines** api / UI is running from.


slack
`````

The ``slack`` plugin allows sending messages over to `Slack <https://slack.com>`_ (e.g. pipelines execution status).

.. code-block:: yaml

    vars:
        slack_webhook: https://hooks.slack.com/services/SOME/RANDOM/StrIng
        name: some_name

    actions:
        - type: slack
          message: 'Deployment finished for project {{ name }}.'
          always_run: true


Explanation of fields:

- **type**: tells **Pipelines** to execute the action through the ``slack`` plugin.
- **always_run**: ensure the action is run all the time - even if a former action failed.
- **message**: is the message to send to Slack.

**Note**:

- The ``slack`` plugin **require** a ``slack_webhook`` vars defined in the ``vars`` section of the pipeline.

Slack Hooks URL are defined via the `Incoming WebHooks <https://slack.com/apps/A0F7XDUAZ-incoming-webhooks>`_ app (`Slack API details here <https://api.slack.com/incoming-webhooks>`_).


Triggers
--------

Webhooks
````````

If you want to run your pipeline by triggering it through a webhook you can enable it in the triggers section. 

.. code-block:: yaml

    triggers:
        - type: webhook


If you open the web-UI you can see the webhook URL that was generated for this pipeline in the "Webhook" tab. You can for example `configure GitHub repository <https://developer.github.com/webhooks/creating/>`_ to call this url after every commit.

You can access the content of the webhook content in the actions in the ``webhook_content`` variable; e.g. ``echo {{ webhook_content.commit_id }}``

**Note**:

- You need to send the message via POST as ``application/json`` Content-Type.
- Documentation is coming to explain how to use the content of the data sent through the hook.

Advanced Templates
==================

Pipelines uses `Jinja2 <http://jinja.pocoo.org/docs/2.9/templates/>`_ to do variables replacement. You can use the whole set of builtin features from the Jinja2 engine to perform advanced operations.

.. code-block:: yaml

    prompt:
        stuff:
            type: select
            options:
                - good
                - bad

    actions:
        - name: Print something
          type: bash
          cmd: |
              {% if stuff == 'good' %}
                echo "Do good stuff..."
              {% else %}
                echo "Do not so good stuff..."
              {% endif %}

        - name: Use builtin filters
          type: bash
          # Will display 'goose' or 'base'
          cmd: echo {{ stuff | replace('d', 'se') }}


Dirty line by line setup
========================

**TODO**: Make a real setup script / one-liner script ... and not Debian only ...

- ``apt-get update``
- ``apt-get upgrade``
- ``apt-get install python-pip git``
- ``pip install virtualenv``
- ``virtualenv pipelines``
- ``source pipelines/bin/activate``
- ``pip install pipelines``
- ``mkdir ~/pipelines_workspace``
- ``pipelines server --workspace ~/pipelines_workspace --username admin --password admin``


Docker
======

**Note**: Not heavily tested. 

.. code-block:: bash

    docker run -d boratbot/pipelines
 

Roadmap
=======

No definitive roadmap for the moment, mainly focusing on having a lean code base (heavy refactoring to come).

Among the possible features:

- Improved web UI & features
- Better webhook management
- Better management of the tasks
- CLI 
- Toolbar 
- Improved Auth
- etc.
Note that the project description data, including the texts, logos, images, and/or trademarks, for each open source project belongs to its rightful owner. If you wish to add or remove any projects, please contact us at [email protected].