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Developer Guide
===============
.. contents::
:depth: 3
:local:
Tech Stack
----------
The A1 Mediator is implemented in Python, currently version 3.8, and
depends on these third-party packages and technologies:
- OpenAPI3
- Connexion
- Flask with Gevent serving
- Swagger
- Prometheus
Version bumping A1
------------------
This project follows semver. When the version string changes, these
files must be updated:
#. ``setup.py``
#. ``container-tag.yaml``
#. ``integration_tests/a1mediator/Chart.yaml``
#. ``docs/release-notes.rst``
#. ``a1/openapi.yaml`` But note this is an API version, not a software version; there's no need to bump on non-API changes.
#. And over in the ric-plt/ric-dep repo that contains the A1 Mediator helm chart, files ``values.yaml`` and ``Chart.yaml``.
It's convenient to use the Python utility `bumpversion` to maintain
the first three items. After setup (``pip install bumpversion``) you
can change the patch version like this::
bumpversion --verbose patch
Or change the minor version like this::
bumpversion --verbose minor
After the `bumpversion` utility has modified the files, update the
release notes then commit.
Version bumping RMR
-------------------
A1 (Dockerfile), Dockerfile-Unit-Test, and all three integration test
receivers use an Alpine base image and install RMR from a base builder
image. Must update and rebuild all 5 containers in the A1 repo (or
just A1 itself for production usage).
In addition these items in this repo must be kept in sync:
#. ``rmr-version.yaml`` controls what rmr gets installed for unit
testing in Jenkins
#. ``integration_tests/install_rmr.sh`` is a useful script for a
variety of local testing.
Version bumping Python
----------------------
If you want to update the version of python; for example this was
recently done to move from 3.7 to 3.8, update these files:
#. ``Dockerfile``
#. ``Dockerfile-Unit-Test``
#. ``tox.ini``
Running A1 Standalone
---------------------
The A1 container can be run standalone, which means using an in-memory mock
version of SDL and a static route table. The host machine must have the RMR
library and the environment must define the variable `prometheus_multiproc_dir`
with a value like /tmp. Alternately, use the following command to run A1 as
a Docker container, using a route table mounted as a file from this git
repository and exposing the server's HTTP port on the Docker host::
docker run -e USE_FAKE_SDL=True -p 10000:10000 -v `pwd`:/opt/route [DOCKER_IMAGE_ID_HERE]
Then test the server with an invocation such as this::
curl localhost:10000/a1-p/healthcheck
Unit Testing
------------
Running the unit tests requires the python packages ``tox`` and ``pytest``.
The RMR library is also required during unit tests. If running
directly from tox (outside a Docker container), install RMR using the
script in the integration_tests directory: ``install_rmr.sh``.
Upon completion, view the test coverage like this:
::
tox
open htmlcov/index.html
Alternatively, you can run the unit tests in Docker (this is somewhat
less nice because you don't get the pretty HTML)
::
docker build --no-cache -f Dockerfile-Unit-Test .
Integration testing
-------------------
This tests A1’s external API with three test receivers. This requires
docker, kubernetes and helm.
Build all the images:
::
docker build -t a1:latest .
cd integration_tests/testxappcode
docker build -t delayreceiver:latest -f Dockerfile-delay-receiver .
docker build -t queryreceiver:latest -f Dockerfile-query-receiver .
docker build -t testreceiver:latest -f Dockerfile-test-receiver .
Then, run all the tests from the root (this requires the python packages ``tox``, ``pytest``, and ``tavern``).
::
tox -c tox-integration.ini
This script:
#. Deploys 3 helm charts (5 containers) into a local kubernetes installation
#. Port forwards a pod ClusterIP to localhost
#. Uses “tavern” to run some tests against the server
#. Barrages the server with Apache bench
#. Tears everything down