Developer Guide¶
This file contains an overview of architecture, coding design/practices, testing and style.
Before submitting a PR¶
If you have general questions, feel free to reach out to the faucet-dev mailing list.
If you are new to FAUCET, or are contemplating a major change, it’s recommended to open a github issue with the proposed change. This will enable broad understanding of your work including being able to catch any potential snags very early (for example, adding new dependencies). Architectural and approach questions are best settled at this stage before any code is written.
Please send relatively small, tightly scoped PRs (approx 200-300 LOC or less). This makes review and analysis easier and lowers risk, including risk of merge conflicts with other PRs. Larger changes must be refactored into incremental changes.
You must add a test if FAUCET’s functionality changes (ie. a new feature, or correcting a bug).
All unit and integration tests must pass (please use the docker based tests; see Software switch testing with docker). Where hardware is available, please also run the hardware based integration tests also.
In order to speed up acceptance of your PR we recommend enabling TravisCI on your own github repo, and linking the test results in the body of the PR. This enables the maintainers to quickly verify that your changes pass all tests in a pristine environment while conserving our TravisCI resources on the main branch (by minimizing resources used on potentially failing test runs which could be caught before opening a PR on the main branch).
You must use the github feature branches (see https://gist.github.com/vlandham/3b2b79c40bc7353ae95a), for your change and squash commits (https://blog.github.com/2016-04-01-squash-your-commits/) when creating the PR.
Please use the supplied git pre-commit hook (see
../git-hook/pre-commit
), to automatically run the unit tests and pylint for you at git commit time, which will save you TravisCI resources also.pylint must show no new errors or warnings.
Code must conform to the style guide (see below).
PR handling guidelines¶
This section documents general guidelines for the maintainers in handling PRs. The overall intent is, to enable quality contributions with as low overhead as possible, maximizing the use of tools such as static analysis and unit/integration testing, and supporting rapid and safe advancement of the overall project.
In addition to the above PR submission guidelines, above:
PRs require a positive review per github’s built in gating feature. The approving reviewer executes the merge.
PRs that should not be merged until some other criteria are met (e.g. not until release day) must include DO NOT MERGE in the title, with the details in PR comments.
A typical PR review/adjust/merge cycle should be 2-3 days (timezones, weekends, etc permitting). If a PR upon review appears too complex or requires further discussion it is recommended it be refactored into smaller PRs or discussed in another higher bandwidth forum (e.g. a VC) as appropriate.
A PR can be submitted at any time, but to simplify release logistics PR merges might not be done before release, on release days.
Code style¶
Please use the coding style documented at https://github.com/google/styleguide/blob/gh-pages/pyguide.md. Existing code not using this style will be incrementally migrated to comply with it. New code should comply.
Faucet Development Environment¶
A common way of developing faucet is inside a virtualenv with an IDE such as PyCharm.
Instructions on setting up PyCharm for developing faucet are below.
If you would rather develop on the command line directly, a short summary
of the command line setup for development in a venv
with Python 3.6+
is included after the PyCharm instructions.
Create a new project in PyCharm¶
Set the Location
of the project to the directory where a checked out
copy of the faucet code from git is, for this tutorial I will assume the
path is /Dev/faucet/
.
Ignore the Project Interpreter
settings for now, we will set those up
after the project is created.
Click Create
when you have completed these steps.
When asked Would you like to create a project from existing sources instead?
click Yes
.
Create virtual environment¶
Now that the project is created and source code imported, click the
File -> Settings
menu. In the dialog box that opens click the
Project: faucet -> Project Interpreter
sub menu.
Click the cog and select Add...
Under Virtualenv Environment
you want to select New environment
and
select a Location
for the virtualenv (which can be inside the directory
where the faucet code lives, e.g /Dev/faucet/venv
).
The Base interpreter
should be set to /usr/bin/python3.
Click Ok
which will create the virtualenv.
Now while that virtualenv builds and we still have the settings dialog open
we will tweak a few project settings to make them compatible with our
code style. Click on the Tools -> Python Integrated Tools
menu
and change the Docstring format
to Google
.
Finally, click Ok
again to get back to the main screen of PyCharm.
Install requirements¶
Inside the PyCharm editor window if we open one of the code files for faucet
(e.g. faucet/faucet.py) we should now get a bar at the top of the window
telling us of missing package requirements, click the Install requirements
option to install the dependencies for faucet.
Create log and configuration directories¶
Now we need to create a log and configuration directory so that faucet can start:
mkdir -p /Dev/faucet/venv/var/log/faucet/ mkdir -p /Dev/faucet/venv/etc/faucet/
Copy the sample faucet configuration file from
/Dev/faucet/etc/faucet/faucet.yaml
to /Dev/faucet/venv/etc/faucet/
and
edit this configuration file as necessary.
Copy the sample gauge configuration file from
/Dev/faucet/etc/faucet/gauge.yaml
to /Dev/faucet/venv/etc/faucet/
and
edit this configuration file as necessary.
If you are using the sample configuration “as is” you will also need to copy
/Dev/faucet/etc/faucet/acls.yaml
to /Dev/faucet/venv/etc/faucet/
as
that included by the sample faucet.yaml
file, and without it the sample
faucet.yaml
file cannot be loaded.
You may also wish to copy
/Dev/faucet/etc/faucet/ryu.conf
to /Dev/faucet/venv/etc/faucet/
as
well so everything can be referenced in one directory inside the Python
virtual environment.
Configure PyCharm to run faucet and gauge¶
Now we need to configure PyCharm to run faucet, gauge and the unit tests.
First, click the Run -> Run..
menu, then select the
Edit Configurations...
option to get to the build settings dialog.
We will now add run configuration for starting faucet
and gauge
.
Click the +
button in the top left hand corner of the window. First, change
the name from Unnamed
to faucet
. Change the Script path
to point to
ryu-manager inside the virtualenv, for me this was ../venv/bin/ryu-manager
.
Then set the Parameters
to faucet.faucet
. Make sure the working
directory is set to /Dev/faucet/faucet/
.
We will use the same steps as above to add a run configuration for gauge
.
Changing the Script path
to ../venv/bin/ryu-manager
and setting the
Parameters
this time to faucet.gauge
. Make sure the working directory is
set to /Dev/faucet/faucet/
.
Configure PyCharm to run unit tests¶
For running tests we need a few additional dependencies installed, I couldn’t work out how to do this through PyCharm so run this command from a terminal window to install the correct dependencies inside the virtualenv:
/Dev/faucet/venv/bin/pip3 install -r /Dev/faucet/test-requirements.txt
To add the test run configuration we will again click the +
button in the
top left hand corner, select Python tests -> Unittests
.
You can provide a Name
of Faucet Unit Tests
for the run configuration.
For Target
select Script path
and enter the path
/Dev/faucet/tests/unit/faucet
. For Pattern
enter test_*.py
.
We will also add test run configuration for gauge using the same steps as above.
Use Gauge Unit Tests
as the Name
and for Target
select
Script path
and enter the path /Dev/faucet/tests/unit/gauge
.
For Pattern
enter test_*.py
.
You can click Apply
and Close
now that we’ve added all our new
run configuration.
Now that everything is setup you can run either the faucet controller, gauge
controller and test suite from the Run
menu.
Developing with a Python 3.6+ venv¶
If you would prefer not to use PyCharm and are comfortable developing Python directly on the command line, these steps should get you started. They have been tested with Ubuntu 18.04 LTS, which includes Python 3.6, but similar instructions should work on other platforms that include Python 3.6+.
Install C/C++ compilers and Python development environment packages:
sudo apt-get install python3-venv libpython3.6-dev gcc g++ make
If you have not already, clone the faucet git repository:
git clone https://github.com/faucetsdn/faucet.git
Then create a Python venv
environment within it:
cd faucet python3 -m venv "${PWD}/venv"
and activate that virtual environment for all following steps:
. venv/bin/activate
Ensure that the faucet config is present within the virtual environment, copying from the default config files if required:
mkdir -p "${VIRTUAL_ENV}/var/log/faucet" mkdir -p "${VIRTUAL_ENV}/etc/faucet" for FILE in {acls,faucet,gauge}.yaml ryu.conf; do if [ -f "${VIRTUAL_ENV}/etc/faucet/${FILE}" ]; then echo "Preserving existing ${FILE}" else echo "Installing template ${FILE}" cp -p "etc/faucet/${FILE}" "${VIRTUAL_ENV}/etc/faucet/${FILE}" fi done
Then install the runtime and development requirements
"${VIRTUAL_ENV}/bin/pip3" install wheel # For bdist_wheel targets "${VIRTUAL_ENV}/bin/pip3" install -r "${VIRTUAL_ENV}/../test-requirements.txt"
Finally install faucet in an editable form:
pip install -e .
And then confirm that you can run the unit tests:
pytest tests/unit/faucet/ pytest tests/unit/gauge/
Makefile¶
Makefile is provided at the top level of the directory. Output of make
is normally stored in dist
directory. The following are the targets that
can be used:
uml: Uses
pyreverse
to provide code class diagrams.codefmt: Provides command line usage to “Code Style” the Python file
codeerrors: Uses
pylint
on all Python files to generate a code error report and is placed indist
directory.stats: Provides a list of all commits since the last release tag.
release: Used for releasing FAUCET to the next version, Requires
version
andnext_version
variables.
To directly install faucet from the cloned git repo, you could use sudo python setup.py install
command from the root of the directory.
To build pip installable package, you could use python setup.py sdist
command from the root of the directory.
To remove any temporarily created directories and files, you could use rm -rf dist *egg-info
command.
Building Documentation¶
The documentation is built with Sphinx, from within the docs
directory.
To be able to build the documentation ensure you have the relevant packages installed:
cd docs sudo apt-get install librsvg2-bin make pip3 install -r requirements.txt
and then you can build HTML documentation with:
cd docs make html
and the documentation will be found under _build/html
in the docs
directory.
Key architectural concepts/assumptions:¶
FAUCET’s architecture depends on key assumptions, which must be kept in mind at all times.
FAUCET is the only controller for the switch, that can add or remove flows.
All supported dataplanes must implement OpenFlow functionally (hardware, software or both) identically. No TTP or switch specific drivers.
In addition:
FAUCET provisions default deny flows (all traffic not explicitly programmed is dropped).
Use of packet in is minimized.
FAUCET depends upon these assumptions to guarantee that the switch is always in a known and consistent state, which in turn is required to support high availability (FAUCET provides high availability, through multiple FAUCET controllers using the same version of configuration - any FAUCET can give the switch a consistent response - no state sharing between controllers is required). The FAUCET user can program customized flows to be added to the switch using FAUCET ACLs (see below).
FAUCET also programs the dataplane to do flooding (where configured). This minimizes the use of packet in. This is necessary to reduce competition between essential control plane messages (adding and removing flows), and traffic from the dataplane on the limited bandwidth OpenFlow control channel. Unconstrained packet in messages impact the switch CPU, may overwhelm the OpenFlow control channel, and will expose the FAUCET controller to unvalidated dataplane packets, all of which are security and reliability concerns. In future versions, packet in will be eliminated altogether. The FAUCET user is expected to use policy based forwarding (eg ACLs that redirect traffic of interest to high performance dataplane ports for NFV offload), not packet in.
FAUCET requires all supported dataplanes to implement OpenFlow (specifically, a subset of OpenFlow 1.3) in a functionally identical way. This means that there is no switch-specific driver layer - the exact same messages are sent, whether the switch is OVS or hardware. While this does prevent some earlier generation OpenFlow switches from being supported, commercially available current hardware does not have as many restrictions, and eliminating the need for a switch-specific (or TTP) layer greatly reduces implementation complexity and increases controller programmer productivity.