Library for testing network virtual appliances using Docker
Project description
Test network virtual appliance using Docker containers
Contents
General information
The project
This project is a Python library for testing network virtual appliances.
License
Alpy is licensed under SPDX-License-Identifier: GPL-3.0-or-later. See COPYING for more details.
Description
Alpy manages containers via Docker Python API.
Alpy interacts with QEMU using Python API of the QEMU Monitor Protocol (QMP). QMP is a JSON-based protocol that allows applications to communicate with a QEMU instance.
Alpy gives user Pexpect object to interact with a serial console. The Pexpect object is configured to log console input and output via the standard logging module.
Alpy is packaged and deployed to PyPI. The package can be installed using pip.
There are unit tests (pytest) and integration tests in GitLab CI pipeline. Alpy is tested and works on the latest Ubuntu and the latest Ubuntu LTS release.
Examples
The alpy library repository includes scripts and modules to build a simple appliance called Rabbit. Rabbit is Alpine Linux with a few packages pre-installed. Having this simple DUT allows to demonstrate the library features and capabilities. The tests verify a few features of the network appliance, for example:
- IPv4 routing (see rabbit/tests/forward-ipv4/main.py)
- rate-limiting network traffic (see rabbit/tests/rate-limit/main.py)
- load-balancing HTTP requests (see rabbit/tests/load-balancing/main.py)
The tests are executed automatically in the GitLab CI pipeline.
Example network (test rate-limit):
+-------------------------------------+
| |
| Device under test |
| rate limit = 1mbps |
+-------+--------------------+--------+
| |
| |
| |
+-------+--------+ +-------+--------+
| | | |
| 192.168.1.1/24 | | 192.168.1.2/24 |
| | | |
| node0 | | node1 |
| iperf3 client | | iperf3 server |
+----------------+ +----------------+
Example test output:
INFO __main__ Test description: Check that rabbit rate-limits traffic. INFO alpy.node Create tap interfaces... INFO alpy.node Create tap interfaces... done INFO alpy.qemu Initialize QMP monitor... INFO alpy.qemu Initialize QMP monitor... done INFO alpy.qemu Start QEMU... INFO alpy.qemu Start QEMU... done INFO alpy.qemu Accept connection from QEMU to QMP monitor... INFO alpy.qemu Accept connection from QEMU to QMP monitor... done INFO alpy.node Create nodes... INFO alpy.node Create nodes... done INFO alpy.console Connect to console... INFO alpy.console Connect to console... done INFO alpy.utils Enter test environment INFO __main__ Start iperf3 server on node 1... INFO __main__ Start iperf3 server on node 1... done INFO alpy.qemu Start virtual CPU... INFO alpy.qemu Start virtual CPU... done INFO alpine Wait for the system to boot... INFO alpine Wait for the system to boot... done INFO alpine Login to the system... INFO alpine Login to the system... done INFO alpy.remote_shell Type in script configure-rabbit... INFO alpy.remote_shell Type in script configure-rabbit... done INFO alpy.remote_shell Run script configure-rabbit... INFO alpy.remote_shell Run script configure-rabbit... done INFO __main__ Start iperf3 client on node 0... INFO __main__ Measure rate... INFO __main__ Measure rate... done INFO __main__ Parse iperf3 report... INFO __main__ Parse iperf3 report... done INFO __main__ Start iperf3 client on node 0... done INFO alpine Initiate system shutdown... INFO alpine Initiate system shutdown... done INFO alpy.qemu Wait until the VM is powered down... INFO alpy.qemu Wait until the VM is powered down... done INFO alpy.qemu Wait until the VM is stopped... INFO alpy.qemu Wait until the VM is stopped... done INFO __main__ Rate received, bits per second: 976321 INFO __main__ Check rate... INFO __main__ Check rate... done INFO alpy.utils Exit test environment with success INFO alpy.console Close console... INFO alpy.console Close console... done INFO alpy.qemu Quit QEMU... INFO alpy.qemu Quit QEMU... done INFO alpy.utils Test passed
The tests for the Rabbit device share a lot of code so the code is organized as a library. The library is called carrot.
Features
The simplest docker to QEMU networking connection
Nothing in the middle. No bridges, no veth pairs, no NAT etc.
Each layer 2 frame emitted is delivered unmodified, reliably.
Reliable packet capture
Each frame is captured reliably thanks to the QEMU filter-dump feature.
First-class Docker container support
Alpy follows and encourages single process per container design.
Logging
Test logs are easy to configure and customize. Alpy consistently uses Python logging module.
Alpy collects serial console log in binary as well as text (escaped) form.
No trash left behind
Alpy cleans up after itself:
- processes stopped with error codes and logs collected,
- files, directories unmounted,
- temporary files removed,
- sockets closed,
- interfaces removed…
… reliably.
No root required
Run as a regular user.
API documentation
The documentation is published on GitLab Pages of your GitLab project (if GitLab Pages is enabled on your GitLab instance). For example, upstream project documentation lives at https://abogdanenko.gitlab.io/alpy.
Alpy API documentation is generated using Sphinx. To generate HTML API documentation locally, install Sphinx package and run the following command:
PYTHONPATH=. sphinx-build docs public
To view the generated documentation, open public/index.html in a browser.
Network design
The appliance being tested is referred to as a device under test or DUT.
The DUT communicates with containers attached to each of its network links.
Guest network adapters are connected to the host via tap devices (Figure 1):
+-----QEMU hypervisor------+
| | +-------------+
| +-----Guest OS-----+ | | |
| | | | | docker |
| | +--------------+ | | | container |
| | | | | | | network |
| | | NIC driver | | | | namespace |
| | | | | | | |
| +------------------+ | | +-----+ |
| | | | | | | |
| | NIC hardware +---+-----------+ tap | |
| | | | | | | | |
| +--------------+ | | | +-----+ |
| | | | |
+--------------------------+ +-------------+
|
|
v
+-----------+
| |
| pcap file |
| |
+-----------+
Figure 1. Network link between QEMU guest and a docker container.
Each tap device lives in its network namespace. This namespace belongs to a dedicated container - a node. The node’s purpose is to keep the namespace alive during the lifetime of a test.
For an application to be able to communicate with the DUT the application is containerized. The application container must be created in a special way: it must share network namespace with one of the nodes.
Figure 2 shows an example where application containers app0 and app1 share network namespace with node container node0. Application container app2 shares another network namespace with node2.
This sharing is supported by Docker. All we have to do is to create the application container with the --network=container:NODE_NAME Docker option. For example, if we want to send traffic to the DUT via its first link, we create a traffic generator container with Docker option --network=container:node0.
+----QEMU---+ +------shared network namespace-----+ | | | | | | | eth0 | | +---+ | | +---+ +-----+ +----+ +----+ | | |NIC+-----------+tap| |node0| |app0| |app1| | | +---+ | | +---+ +-----+ +----+ +----+ | | | | | | | +-----------------------------------+ | | | | | | | | +------shared network namespace-----+ | | | | | | | eth0 | | +---+ | | +---+ +-----+ | | |NIC+-----------+tap| |node1| | | +---+ | | +---+ +-----+ | | | | | | | +-----------------------------------+ | | | | | | | | +------shared network namespace-----+ | | | | | | | eth0 | | +---+ | | +---+ +-----+ +----+ | | |NIC+-----------+tap| |node2| |app2| | | +---+ | | +---+ +-----+ +----+ | | | | | +-----------+ +-----------------------------------+
Figure 2. Application containers attached to the DUT links.
Building a network of nodes
Network configuration operations are performed by temporary one-off Docker containers by calling ip commands inside the containers.
A distinction is made between a simplified version of the ip binary and the full version. The simplified version is a busybox applet. The full version is shipped in the iproute2 package.
Here is a list of features which alpy requires but which are missing from the simplified version:
- Move a network interface to a different namespace (“ip link set netns …”)
- Create a tap interface (“ip tuntap add mode tap …”)
The image which contains the simplified version is called busybox_image while the full image is called iproute2_image.
The images must be provided by the caller and must be present on the system. For example, set:
busybox_image = "busybox:latest" iproute2_image = "debian:testing"
FAQ
How do I watch serial console?
Use tail:
tail --follow name --retry console.log
The same command, but shorter:
tail -F console.log
How do I watch traffic on an interface?
Use tcpdump:
tail --bytes +0 --follow name --retry link0.pcap | tcpdump -n -r -
The same command, but shorter:
tail -Fc +0 link0.pcap | tcpdump -nr-
Can I use Wireshark to watch traffic on an interface?
Yes, you can:
tail --bytes +0 --follow name --retry link0.pcap | wireshark -k -i -
The same command, but shorter:
tail -Fc +0 link0.pcap | wireshark -ki-
How do I debug my program?
Use The Python Debugger.
How do I enter node network namespace?
Get node pid:
docker inspect --format '{{.State.Pid}}' node0Jump into node namespace using that pid:
nsenter --net --target "$pid"
One-liner:
nsenter --net --target "$(docker inspect --format '{{.State.Pid}}' node0)"
A note about GitLab Container Registry
Many CI jobs use one of the custom images built on the “build-docker-images” stage. The images are stored in the GitLab Container Registry.
The images are pulled from locations specified by GitLab variables. By default, the variables point to the registry of the current GitLab project.
If you forked this project and GitLab Container Registry is disabled in your project, override the variables on a project level so that the images are pulled from some other registry.
For example, set IMAGE_UBUNTU_LTS=registry.gitlab.com/abogdanenko/alpy/ubuntu-lts:latest.
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