Files
placement/doc/source/contributor/index.rst
Chris Dent f16637e499 Add a vision-reflection
The TC wrote a cloud vision [1] and then asked [2] projects to
do a self-evaluation related to that vision. Placement, being
simple and mostly admin-only, doesn't have a lot to say on the
matter, but it does provide some useful structure on what to
keep doing.

[1] https://governance.openstack.org/tc/reference/technical-vision.html
[2] http://lists.openstack.org/pipermail/openstack-discuss/2019-January/001417.html

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..
Licensed under the Apache License, Version 2.0 (the "License"); you may
not use this file except in compliance with the License. You may obtain
a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
License for the specific language governing permissions and limitations
under the License.
===============================
Placement API Developer Notes
===============================
Overview
========
The Nova project introduced the placement service as part of the Newton
release, and it was extracted to its own repository in the Stein release. The
service provides an HTTP API to manage inventories of different classes of
resources, such as disk or virtual cpus, made available by entities called
resource providers. Information provided through the placement API is intended
to enable more effective accounting of resources in an OpenStack deployment and
better scheduling of various entities in the cloud.
The document serves to explain the architecture of the system and to provide
some guidance on how to maintain and extend the code. For more detail on why
the system was created and how it does its job see :doc:`/index`. For some
insight into the longer term goals of the system see :doc:`goals` and
:doc:`vision-reflection`.
Big Picture
===========
The placement service is straightforward: It is a `WSGI`_ application that
sends and receives JSON, using an RDBMS (usually MySQL) for persistence.
As state is managed solely in the DB, scaling the placement service is done by
increasing the number of WSGI application instances and scaling the RDBMS using
traditional database scaling techniques.
For sake of consistency and because there was initially intent to make the
entities in the placement service available over RPC,
:oslo.versionedobjects-doc:`versioned objects <>` are used to provide the
interface between the HTTP application layer and the SQLAlchemy-driven
persistence layer. Even without RPC, these objects provide useful structuring
and separation of the code.
Though the placement service does not aspire to be a `microservice` it does
aspire to continue to be small and minimally complex. This means a relatively
small amount of middleware that is not configurable, and a limited number of
exposed resources where any given resource is represented by one (and only
one) URL that expresses a noun that is a member of the system. Adding
additional resources should be considered a significant change requiring robust
review from many stakeholders.
The set of HTTP resources represents a concise and constrained grammar for
expressing the management of resource providers, inventories, resource classes,
traits, and allocations. If a solution is initially designed to need more
resources or a more complex grammar that may be a sign that we need to give our
goals greater scrutiny. Is there a way to do what we want with what we have
already? Can some other service help? Is a new collaborating service required?
Minimal Framework
=================
The API is set up to use a minimal framework that tries to keep the structure
of the application as discoverable as possible and keeps the HTTP interaction
near the surface. The goal of this is to make things easy to trace when
debugging or adding functionality.
Functionality which is required for every request is handled in raw WSGI
middleware that is composed in the `placement.deploy` module. Dispatch or
routing is handled declaratively via the ``ROUTE_DECLARATIONS`` map defined in
the `placement.handler` module.
Mapping is by URL plus request method. The destination is a complete WSGI
application, using a subclass of the `wsgify`_ method from `WebOb`_ to provide
a `Request`_ object that provides convenience methods for accessing request
headers, bodies, and query parameters and for generating responses. In the
placement API these mini-applications are called `handlers`. The `wsgify`
subclass is provided in `placement.wsgi_wrapper` as `PlacementWsgify`. It is
used to make sure that JSON formatted error responses are structured according
to the API-SIG `errors`_ guideline.
This division between middleware, dispatch and handlers is supposed to
provide clues on where a particular behavior or functionality should be
implemented. Like most such systems, this does not always work but is a useful
tool.
Gotchas
=======
This section tries to shed some light on some of the differences between the
placement API and some of the other OpenStack APIs or on situations which may
be surprising or unexpected.
* The placement API is somewhat more strict about `Content-Type` and `Accept`
headers in an effort to follow the HTTP RFCs.
If a user-agent sends some JSON in a `PUT` or `POST` request without a
`Content-Type` of `application/json` the request will result in an error.
If a `GET` request is made without an `Accept` header, the response will
default to being `application/json`.
If a request is made with an explicit `Accept` header that does not include
`application/json` then there will be an error and the error will attempt to
be in the requested format (for example, `text/plain`).
* If a URL exists, but a request is made using a method that that URL does not
support, the API will respond with a `405` error. Sometimes in the nova APIs
this can be a `404` (which is wrong, but understandable given the constraints
of the code).
* Because each handler is individually wrapped by the `PlacementWsgify`
decorator any exception that is a subclass of `webob.exc.WSGIHTTPException`
that is raised from within the handler, such as `webob.exc.HTTPBadRequest`,
will be caught by WebOb and turned into a valid `Response`_ containing
headers and body set by WebOb based on the information given when the
exception was raised. It will not be seen as an exception by any of the
middleware in the placement stack.
In general this is a good thing, but it can lead to some confusion if, for
example, you are trying to add some middleware that operates on exceptions.
Other exceptions that are not from `WebOb`_ will raise outside the handlers
where they will either be caught in the `__call__` method of the
`PlacementHandler` app that is responsible for dispatch, or by the
`FaultWrap` middleware.
Microversions
=============
The placement API makes use of `microversions`_ to allow the release of new
features on an opt in basis. See :doc:`/index` for an up to date
history of the available microversions.
The rules around when a microversion is needed are modeled after those of the
:nova-doc:`compute API <contributor/microversions>`. When adding a new
microversion there are a few bits of required housekeeping that must be done in
the code:
* Update the ``VERSIONS`` list in ``placement/microversion.py`` to indicate the
new microversion and give a very brief summary of the added feature.
* Update ``placement/rest_api_version_history.rst`` to add a more detailed
section describing the new microversion.
* Add a :reno-doc:`release note <>` with a ``features`` section announcing the
new or changed feature and the microversion.
* If the ``version_handler`` decorator (see below) has been used, increment
``TOTAL_VERSIONED_METHODS`` in ``placement/tests/unit/test_microversion.py``.
This provides a confirmatory check just to make sure you are paying attention
and as a helpful reminder to do the other things in this list.
* Include functional gabbi tests as appropriate (see `Using Gabbi`_). At the
least, update the ``latest microversion`` test in
``placement/tests/functional/gabbits/microversion.yaml``.
* Update the `API Reference`_ documentation as appropriate. The source is
located under ``api-ref/source/``.
* If a new error code has been added in ``placement/errors.py``, it should
be added to the `API Reference`_.
In the placement API, microversions only use the modern form of the
version header::
OpenStack-API-Version: placement 1.2
If a valid microversion is present in a request it will be placed,
as a ``Version`` object, into the WSGI environment with the
``placement.microversion`` key. Often, accessing this in handler
code directly (to control branching) is the most explicit and
granular way to have different behavior per microversion. A
``Version`` instance can be treated as a tuple of two ints and
compared as such or there is a ``matches`` method.
A ``version_handler`` decorator is also available. It makes it possible to have
multiple different handler methods of the same (fully-qualified by package)
name, each available for a different microversion window. If a request wants a
microversion that is not available, a defined status code is returned (usually
``404`` or ``405``). There is a unit test in place which will fail if there are
version intersections.
Adding a New Handler
====================
Adding a new URL or a new method (e.g, ``PATCH``) to an existing URL
requires adding a new handler function. In either case a new microversion and
release note is required. When adding an entirely new route a request for a
lower microversion should return a ``404``. When adding a new method to an
existing URL a request for a lower microversion should return a ``405``.
In either case, the ``ROUTE_DECLARATIONS`` dictionary in the
`placement.handler` module should be updated to point to a
function within a module that contains handlers for the type of entity
identified by the URL. Collection and individual entity handlers of the same
type should be in the same module.
As mentioned above, the handler function should be decorated with
``@wsgi_wrapper.PlacementWsgify``, take a single argument ``req`` which is a
WebOb `Request`_ object, and return a WebOb `Response`_.
For ``PUT`` and ``POST`` methods, request bodies are expected to be JSON
based on a content-type of ``application/json``. This may be enforced by using
a decorator: ``@util.require_content('application/json')``. If the body is not
`JSON`, a ``415`` response status is returned.
Response bodies are usually `JSON`. A handler can check the `Accept` header
provided in a request using another decorator:
``@util.check_accept('application/json')``. If the header does not allow
`JSON`, a ``406`` response status is returned.
If a hander returns a response body, a ``Last-Modified`` header should be
included with the response. If the entity or entities in the response body
are directly associated with an object (or objects, in the case of a
collection response) that has an ``updated_at`` (or ``created_at``)
field, that field's value can be used as the value of the header (WebOb will
take care of turning the datetime object into a string timestamp). A
``util.pick_last_modified`` is available to help choose the most recent
last-modified when traversing a collection of entities.
If there is no directly associated object (for example, the output is the
composite of several objects) then the ``Last-Modified`` time should be
``timeutils.utcnow(with_timezone=True)`` (the timezone must be set in order
to be a valid HTTP timestamp). For example, the response__ to
``GET /allocation_candidates`` should have a last-modified header of now
because it is composed from queries against many different database entities,
presents a mixture of result types (allocation requests and provider
summaries), and has a view of the system that is only meaningful *now*.
__ https://developer.openstack.org/api-ref/placement/#list-allocation-candidates
If a ``Last-Modified`` header is set, then a ``Cache-Control`` header with a
value of ``no-cache`` must be set as well. This is to avoid user-agents
inadvertently caching the responses.
`JSON` sent in a request should be validated against a JSON Schema. A
``util.extract_json`` method is available. This takes a request body and a
schema. If multiple schema are used for different microversions of the same
request, the caller is responsible for selecting the right one before calling
``extract_json``.
When a handler needs to read or write the data store it should use methods on
the objects found in the `placement.objects` package. Doing so requires a
context which is provided to the handler method via the WSGI environment. It
can be retrieved as follows::
context = req.environ['placement.context']
.. note:: If your change requires new methods or new objects in the
`placement.objects` package, after you have made sure that you really
do need those new methods or objects (you may not!) make those
changes in a patch that is separate from and prior to the HTTP API
change.
If a handler needs to return an error response, with the advent of `Placement
API Error Handling`_, it is possible to include a code in the JSON error
response. This can be used to distinguish different errors with the same HTTP
response status code (a common case is a generation conflict versus an
inventory in use conflict). Error codes are simple namespaced strings (e.g.,
``placement.inventory.inuse``) for which symbols are maintained in
``placement.errors``. Adding a symbol to a response is done
by using the ``comment`` kwarg to a WebOb exception, like this::
except exception.InventoryInUse as exc:
raise webob.exc.HTTPConflict(
_('update conflict: %(error)s') % {'error': exc},
comment=errors.INVENTORY_INUSE)
Code that adds newly raised exceptions should include an error code. Find
additional guidelines on use in the docs for ``placement.errors``. When a
new error code is added, also document it in the `API Reference`_.
Testing of handler code is described in the next section.
Testing
=======
Most of the handler code in the placement API is tested using `gabbi`_. Some
utility code is tested with unit tests found in `placement/tests/unit`. The
back-end objects are tested with a combination of unit and functional tests
found in ``placement/tests/unit/objects/test_resource_provider.py`` and
`placement/tests/functional/db`.
When writing tests for handler code (that is, the code found in
``placement/handlers``) a good rule of thumb is that if you feel like there
needs to be a unit test for some of the code in the handler, that is a good
sign that the piece of code should be extracted to a separate method. That
method should be independent of the handler method itself (the one decorated by
the ``wsgify`` method) and testable as a unit, without mocks if possible. If
the extracted method is useful for multiple resources consider putting it in
the ``util`` package.
As a general guide, handler code should be relatively short and where there are
conditionals and branching, they should be reachable via the gabbi functional
tests. This is merely a design goal, not a strict constraint.
Using Gabbi
-----------
Gabbi was developed in the `telemetry`_ project to provide a declarative way to
test HTTP APIs that preserves visibility of both the request and response of
the HTTP interaction. Tests are written in YAML files where each file is an
ordered suite of tests. Fixtures (such as a database) are set up and torn down
at the beginning and end of each file, not each test. JSON response bodies can
be evaluated with `JSONPath`_. The placement WSGI application is run via
`wsgi-intercept`_, meaning that real HTTP requests are being made over a file
handle that appears to Python to be a socket.
In the placement API the YAML files (aka "gabbits") can be found in
``placement/tests/functional/gabbits``. Fixture definitions are in
``placement/tests/functional/fixtures/gabbits.py``. Tests are frequently
grouped by handler name (e.g., ``resource-provider.yaml`` and
``inventory.yaml``). This is not a requirement and as we increase the number of
tests it makes sense to have more YAML files with fewer tests, divided up by
the arc of API interaction that they test.
The gabbi tests are integrated into the functional tox target, loaded via
``placement/tests/functional/test_api.py``. If you
want to run just the gabbi tests one way to do so is::
tox -efunctional test_api
If you want to run just one yaml file (in this example ``inventory.yaml``)::
tox -efunctional api.inventory
It is also possible to run just one test from within one file. When you do this
every test prior to the one you asked for will also be run. This is because
the YAML represents a sequence of dependent requests. Select the test by using
the name in the yaml file, replacing space with ``_``::
tox -efunctional api.inventory_post_new_ipv4_address_inventory
.. note:: ``tox.ini`` in the placement repository is configured by a
``group_regex`` so that each gabbi YAML is considered a group. Thus,
all tests in the file will be run in the same process when running
stestr concurrently (the default).
Writing More Gabbi Tests
------------------------
The docs for `gabbi`_ try to be complete and explain the `syntax`_ in some
depth. Where something is missing or confusing, please log a `bug`_.
While it is possible to test all aspects of a response (all the response
headers, the status code, every attribute in a JSON structure) in one single
test, doing so will likely make the test harder to read and will certainly make
debugging more challenging. If there are multiple things that need to be
asserted, making multiple requests is reasonable. Since database set up is only
happening once per file (instead of once per test) and since there is no TCP
overhead, the tests run quickly.
While `fixtures`_ can be used to establish entities that are required for
tests, creating those entities via the HTTP API results in tests which are more
descriptive. For example the ``inventory.yaml`` file creates the resource
provider to which it will then add inventory. This makes it easy to explore a
sequence of interactions and a variety of responses with the tests:
* create a resource provider
* confirm it has empty inventory
* add inventory to the resource provider (in a few different ways)
* confirm the resource provider now has inventory
* modify the inventory
* delete the inventory
* confirm the resource provider now has empty inventory
Nothing special is required to add a new set of tests: create a YAML file with
a unique name in the same directory as the others. The other files can provide
examples. Gabbi can provide a useful way of doing test driven development of a
new handler: create a YAML file that describes the desired URLs and behavior
and write the code to make it pass.
It's also possible to use gabbi against a running placement service, for
example in devstack. See `gabbi-run`_ to get started. If you don't want to
go to the trouble of using devstack, but do want a live server see
:doc:`quick-dev`.
Database Schema Changes
=======================
At some point in every application's life it becomes necessary to change the
structure of its database. Modifying the SQLAlchemy models (in
placement/db/sqlachemy/models.py) is necessary for the application to
understand the new structure, but that will not change the actual underlying
database. To do that, Placement uses `alembic` to run database migrations.
Alembic calls each change a **revision**. To create a migration with alembic,
run the `alembic revision` command. Alembic will then generate a new revision
file with a unique file name, and place it in the `alembic/versions/`
directory:
.. code-block:: console
ed@devenv:~/projects/placement$ alembic -c placement/db/sqlalchemy/alembic.ini revision -m "Add column foo to bar table"
Generating /home/ed/projects/placement/placement/db/sqlalchemy/alembic/versions/dfb006498ad2_add_column_foo_to_bar_table.py ... done
Let us break down that command:
- The **-c** parameter tells alembic where to find its configuration file.
- **revision** is the alembic subcommand for creating a new revision file.
- The **-m** parameter specifies a brief comment explaining the change.
- The generated file from alembic will have a name consisting of a random hash
prefix, followed by an underscore, followed by your **-m** comment, and a
**.py** extension. So be sure to keep your comment as brief as possible
while still being descriptive.
The generated file will look something like this:
.. code-block:: python
"""Add column foo to bar table
Revision ID: dfb006498ad2
Revises: 0378df171af3
Create Date: 2018-10-29 20:02:58.290779
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'dfb006498ad2'
down_revision = '0378df171af3'
branch_labels = None
depends_on = None
def upgrade():
pass
The top of the file is the docstring that will show when you review your
revision history. If we did not include the **-m** comment when we ran the
`alembic revision` command, this would just contain "empty message". If you did
not specify the comment when creating the file, be sure to replace "empty
message" with a brief comment describing the reason for the database change.
You then need to define the changes in the `upgrade()` method. The code used in
these methods is basic SQLAlchemy code for creating and modifying tables. You
can examine existing migrations in the project to see examples of what this
code looks like, as well as find more in-depth usage of Alembic in the `Alembic
tutorial`_.
One other option when creating the revision is to add the ``--autogenerate``
parameter to the revision command. This assumes that you have already updated
the SQLAlchemy models, and have a connection to the placement database
configured. When run with this option, the `upgrade()` method of the revision
file is filled in for you by alembic as it compares the schema described in
your models.py script and the actual state of the database. You should always
verify the revision script to make sure it does just what you intended, both by
reading the code as well as running the tests, as there are some things that
autogenerate cannot deduce. See `autogenerate limitations`_ for more detailed
information.
.. _WSGI: https://www.python.org/dev/peps/pep-3333/
.. _wsgify: http://docs.webob.org/en/latest/api/dec.html
.. _WebOb: http://docs.webob.org/en/latest/
.. _Request: http://docs.webob.org/en/latest/reference.html#request
.. _Response: http://docs.webob.org/en/latest/#response
.. _microversions: http://specs.openstack.org/openstack/api-wg/guidelines/microversion_specification.html
.. _gabbi: https://gabbi.readthedocs.io/
.. _telemetry: http://specs.openstack.org/openstack/telemetry-specs/specs/kilo/declarative-http-tests.html
.. _wsgi-intercept: http://wsgi-intercept.readthedocs.io/
.. _syntax: https://gabbi.readthedocs.io/en/latest/format.html
.. _bug: https://github.com/cdent/gabbi/issues
.. _fixtures: http://gabbi.readthedocs.io/en/latest/fixtures.html
.. _JSONPath: http://goessner.net/articles/JsonPath/
.. _gabbi-run: http://gabbi.readthedocs.io/en/latest/runner.html
.. _errors: http://specs.openstack.org/openstack/api-wg/guidelines/errors.html
.. _API Reference: https://developer.openstack.org/api-ref/placement/
.. _Placement API Error Handling: http://specs.openstack.org/openstack/nova-specs/specs/rocky/approved/placement-api-error-handling.html
.. _`Alembic tutorial`: https://alembic.zzzcomputing.com/en/latest/tutorial.html
.. _`autogenerate limitations`: https://alembic.zzzcomputing.com/en/latest/autogenerate.html#what-does-autogenerate-detect-and-what-does-it-not-detect