27f9e46fcf
Change-Id: Ib1071febe1c08c129b44910bb63b49f28f292b9b
129 lines
6.1 KiB
ReStructuredText
129 lines
6.1 KiB
ReStructuredText
.. _architecture:
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========================
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How anvil is architected
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========================
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This little ``HOWTO`` can be used by those who wish to
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understand how anvil does things and why some of its
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architectural decisions were made.
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Diving in!
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----------
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^^^^^^^^^^^^^^^^
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A little history
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^^^^^^^^^^^^^^^^
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Once upon a time there was a idea of replacing the then existing `devstack <http://devstack.org/>`_
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with a more robust, more error-tolerant and more user/developer friendly OpenStack
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setup toolkit. Since the existing `devstack <http://devstack.org/>`_ did (and still
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does not support very well) complex intercomponent (and interpackage management system) dependencies
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and installing/packaging/starting/stopping/uninstalling of OpenStack components.
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To solve this problem it was thought that there could be a toolkit that could handle this better.
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It would also be in Python the language of choice for the rest of the OpenStack components thus making
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it easier to understand for programmers who are already working in OpenStack code. Thus *devstack2* was
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born which was later renamed *devstack.py* and after a little while once again got renamed to *anvil*.
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^^^^^^^^^
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Structure
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^^^^^^^^^
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Anvil is designed to have the following set of software components:
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* **Actions:** an action is a sequence of function calls on a set of implementing
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classes which follows a logically flow from one step to the next. At the end of
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each step an action may choose to negate a step of another action.
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* Preparing
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* Downloading source code
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* Post-download patching of the source code
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* Deep dependency & requirement analysis
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* Downloading and packaging of missing python dependencies
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* Packaging downloaded source code
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* Creation of a repository with all built packages & dependencies
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* Install
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* Configuring
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* Pre-installing
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* Installing packages from previously prepared repository
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* Post-installing
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* Uninstall
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* Unconfiguring
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* Pre-uninstalling
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* Uninstalling previously installed packages
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* Post-uninstalling
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* Starting
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* Pre-starting
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* Starting
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* Post-starting
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* Stopping
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* Testing
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* Packaging
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* **Phases:** a phase is a step of an action which can be tracked as an individual
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unit and can be marked as being completed. In the above install action for each
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component that installed when each step occurs for that component it will be recorded
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into a file so that if ``ctrl-c`` aborts anvil and later the install is restarted
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anvil can notice that the previous phases have already been completed and those
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phases can be skipped. This is how anvil does action and step resuming.
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* **Components:** a component is a class which implements the above steps (which
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are literally methods on an instance) and is registered with the persona and
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configuration to be activated. To aid in making it easier to add in new components
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a set of *generic* base classes exist that provide common functionality that
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should work in most simplistic installs. These can be found in
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``anvil/components/``. All current components that exist either use
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these base classes directly or inherit from them and override functions to
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provide additional capabilities needed to perform the specified action.
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* **Distributions:** a distribution is a yaml file that is tied to a operating
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system distribution and provides references for components to use in a generic
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manner. Some of these references include how to map a components ``pip-requires``
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file dependencies to distribution specific dependencies (possibly using ``yum``
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or ``apt``) or what non-specified dependencies are useful in getting the component
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up and running (such as ``guestfish`` for image mounting and manipulation).
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Other helpful references include allowing for components to specify standard
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identifiers for configuration such as ``pip``. This allows the underlying yaml file to
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map the ``pip`` command to a distribution-centric command (in RHEL it its really
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named ``pip-python``), see the *commands* key in the yaml files for examples
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of these settings. Note that each distribution yaml file that exists in ``conf/distros``
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provides this set of references for each component and gets selected based on the
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yaml key in that file named *platform_pattern*.
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* **Configuration:** central to how anvil operates is the ability to be largely
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configuration driven (code when you need it but avoid it if you can).
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Distributions as seen by the ``conf/distros`` folder specify
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distribution-specific *configuration* that can be referenced by standard keys by a given
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component. Each component also receives additonal configuration (accessible via a components
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``get_option`` function) via the yaml files specified in ``conf/components`` which
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provides for a way to have configuration that is not distribution specific but instead
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is component specific (say for configuring *nova* to use kvm instead of qemu). This
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configuration drive approach (as much as can be possible) was a key design goal that
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drives how anvil was and is developed. It has even seemed to be ahead of its time due
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to how anvil has a distribution yaml file that has specified component dependencies
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long before the OpenStack community even recognized such a dependency list was useful.
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* **Personas:** a persona is a way for anvil to know what components (and possibly
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subsystems of those components) you wish to have the given action applied to. Since
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not everyone can agree on what is an install of OpenStack this concept allows for
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those who wish to have a different set to do so. It is as all other configuration
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another yaml file and can be examined by looking into the ``conf/personas`` folders. Each yaml file
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contains the list of components to be performed for the given action, a simple set of
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options for those components (for options that may not be applicable to be in the
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component configuration yaml) and which subsystems a given component will have enabled
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(if the component supports this concept) as well as which distribution the persona supports (if
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there is a desire to restrict a given persona to a given distribution this field can be
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used to accomplish that goal).
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