Validating and testing policies
Validating policies
You can use the Cerbos compiler to make sure that your policies are valid before pushing them to a production Cerbos instance. We recommend setting up a git hook or a CI step to run the Cerbos compiler before you push any policy changes to production.
docker run -i -t -v /path/to/policy/dir:/policies ghcr.io/cerbos/cerbos:0.11.0 compile /policies
Testing policies
You can write optional tests for policies and run them as part of the compilation stage to make sure that the policies do exactly what you expect.
Tests are defined using the familiar YAML format as well. Make sure that your tests are in a separate directory from the policies to avoid confusion. We recommend storing them in a top-level directory named tests
. A test file must have _test
suffix in the name and one of the following file extensions: 'yaml', 'yml', or 'json'. For example, album_test.yml
, album_test.yaml
or album_test.json
.
---
name: AlbumObjectTestSuite (1)
description: Tests for verifying the album:object resource policy (2)
resources: (3)
alicia_album:
kind: "album:object",
attr:
owner: aliciaID,
id: XX125,
public: false,
flagged: false
principals: (4)
bradley:
id: bradleyID
roles:
- user
alicia:
id: aliciaID
roles:
- user
tests: (5)
- name: Alicia tries to view her own private album (6)
input: (7)
requestId: "test"
actions: ["view", "delete"]
resource: "alicia_album"
expected: (8)
- principal: alicia
actions:
view: EFFECT_ALLOW
delete: EFFECT_ALLOW
- principal: bradley
actions:
view: EFFECT_DENY
delete: EFFECT_DENY
1 | Name of the test suite |
2 | Description of the test suite |
3 | Map of resources. A key is a string that can be used to refer to the associated resource |
4 | Map of principals. A key is a string that can be used to refer to the associated principal |
5 | List of tests in this suite |
6 | Name of the test |
7 | Input to the policy engine |
8 | List of outcomes expected for a specified principal and a given action. |
Sharing test fixtures
It is possible to share principals and resources between test suites stored in the same directory. Create a testdata
directory in the directory containing your test suite files, then define shared resources and principals in testdata\resources.yml
and testdata\principals.yml
respectively (yaml
and json
extensions are also supported).
tests ├── album_object_test.yaml ├── gallery_object_test.yaml ├── slideshow_object_test.yaml └── testdata ├── principals.yaml └── resources.yaml
testdata\principals.yml
---
principals:
john:
id: johnID
roles:
- user
- moderator
testdata\resources.yml
---
resources:
alicia_album:
kind: "album:object",
attr:
owner: aliciaID,
id: XX125,
public: false,
flagged: false
YAML anchors and overrides are a great way to reduce repetition and reuse definitions in test cases. For example, the following definitions are equivalent:
|
Running tests
To run the tests, provide the path to the tests directory using the --tests
flag.
docker run -i -t \
-v /path/to/policy/dir:/policies \
-v /path/to/test/dir:/tests \
ghcr.io/cerbos/cerbos:0.11.0 compile --tests=/tests /policies
Machine readable output can be produced by passing --format=json
flag to the command.
By default, all discovered tests are run. To run just some of the tests, provide a regular expression that matches the test using the --run
flag.
docker run -i -t \
-v /path/to/policy/dir:/policies \
-v /path/to/test/dir:/tests \
ghcr.io/cerbos/cerbos:0.11.0 compile --tests=/tests --run=Delete /policies
You can also skip entire suites or individual tests in a suite by adding skip: true
to the test definition.
---
name: AlbumObjectTestSuite
description: Tests for verifying the album:object resource policy
tests:
- name: View private album
skip: true
skipReason: "Policy under review"
input:
requestId: "test01"
actions: ["view"]
resource: alicia_private_album
expected:
- principal: alicia
actions:
view: EFFECT_ALLOW
Validating and testing policies in CI environments
Because Cerbos artefacts are distributed as self-contained containers and binaries, you should be able to easily integrate Cerbos into any CI environment. Simply configure your workflow to execute the commands described in the sections above using either the Cerbos container (you may need to configure mount points to suit your repo structure) or the binary.
GitHub Actions
-
cerbos-setup-action: Install
cerbos
andcerbosctl
binaries into your workflow tools cache -
cerbos-compile-action: Compile and (optionally) test Cerbos policies
---
name: PR Check
on:
pull_request:
branches:
- main
jobs:
cerbosCheck:
name: Check Cerbos policies
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Setup Cerbos
uses: cerbos/cerbos-setup-action@v1
with:
version: latest
- name: Compile and test policies
uses: cerbos/cerbos-compile-action@v1
with:
policyDir: policies
testDir: tests
See https://github.com/cerbos/photo-share-tutorial for an example of Cerbos GitHub Actions being used in a workflow.
GitLab CI
---
stages:
- prepare
- compile
download-cerbos:
stage: prepare
script:
- curl https://github.com/cerbos/cerbos/releases/download/v0.11.0/cerbos_0.11.0_Linux_x86_64.tar.gz -L --output /tmp/cerbos.tar.gz
- tar -xf /tmp/cerbos.tar.gz -C ./
- chmod +x ./cerbos
artifacts:
paths:
- cerbos
compile-job:
stage: compile
dependencies: ["download-cerbos"]
script:
- ./cerbos compile ./policies --tests ./tests