* perf(tests): cache go and pnpm stores across integration image builds Add BuildKit cache mounts for GOCACHE/GOMODCACHE and the pnpm store to the integration Dockerfiles, and build the image via the docker CLI (docker-py, used by testcontainers' DockerImage, does not support BuildKit). Embed the go build command directly so Makefile changes do not invalidate the build layer, and pin HOME/GOCACHE/GOMODCACHE/PNPM_HOME explicitly so cache-mount targets match tool defaults by contract. The with-web node stage fetches dependencies from the lockfile before the source copy, so frontend edits only re-run the offline install and build. * feat(tests): add --clean flag to prune buildkit cache mounts The go and pnpm caches introduced for the integration image build survive --teardown since they belong to the docker builder, not to any container. --clean runs docker builder prune with a type=exec.cachemount filter at session start, forcing the next image build to start cold. Documented in the integration testing guide. * feat(tests): add --rebuild flag to refresh the signoz container under --reuse --reuse keeps the running signoz container, so backend source changes are never picked up without tearing down the whole stack. --rebuild deletes the cached signoz container and recreates it from the current sources (an incremental image build), while databases, mocks and migrations stay reused. Requires --reuse; combining with --teardown or --clean is a usage error. * chore(tests): prune comments to non-obvious constraints * docs(tests): make py-test-setup rebuild signoz and audit the integration guide py-test-setup now passes --rebuild so re-running it after backend changes transparently swaps in a signoz container built from the current sources. The integration guide documents the iteration loop and fixes stale content: option defaults (clickhouse 25.12.5, schema migrator v0.144.6), the nonexistent --zookeeper-version option, Zookeeper vs ClickHouse Keeper, the e2e doc path, and the lint toolchain (ruff). * docs(tests): wire --rebuild into the e2e setup flow The e2e bootstrap shares the signoz fixture, so --rebuild already applies; with --with-web it also picks up frontend changes since the image bakes the built frontend in. The setup command now passes --rebuild, and the guide documents the iteration loop, the --rebuild/--clean flags, ClickHouse Keeper instead of Zookeeper, and the corrected integration doc path. * docs(tests): qualify --rebuild workflow for suites with custom signoz variants make py-test-setup only rebuilds the default signoz instance; suites that create their own via create_signoz(cache_key=...) keep a separately cached container. Passing --rebuild on the suite run itself rebuilds every variant that run instantiates. * docs(tests): describe --clean behaviour instead of its exact command Keeps the docs from drifting if the prune invocation behind --clean changes.
13 KiB
Integration Tests
SigNoz uses integration tests to verify that different components work together correctly in a real environment. These tests run against actual services (ClickHouse, PostgreSQL, SigNoz, Zeus mock, Keycloak, etc.) spun up as containers, so suites exercise the same code paths production does.
How to set up the integration test environment?
Prerequisites
Before running integration tests, ensure you have the following installed:
- Python 3.13+
- uv
- Docker (for containerized services)
Initial Setup
- Navigate to the shared tests project:
cd tests
- Install dependencies using uv:
uv sync
NOTE: the build backend could throw an error while installing
psycopg2, please see https://www.psycopg.org/docs/install.html#build-prerequisites
Starting the Test Environment
To spin up all the containers necessary for writing integration tests and keep them running:
make py-test-setup
Under the hood this runs, from tests/:
uv run pytest --basetemp=./tmp/ -vv --reuse --rebuild --capture=no integration/bootstrap/setup.py::test_setup
This command will:
- Start all required services (ClickHouse, PostgreSQL, ClickHouse Keeper, SigNoz, Zeus mock, gateway mock)
- Register an admin user
- Keep containers running via the
--reuseflag - Rebuild the SigNoz container from the current sources via the
--rebuildflag
Rebuilding After Source Changes
--reuse keeps the running SigNoz container, which means backend source changes are not picked up. --rebuild fixes exactly that: it kills the existing SigNoz container, rebuilds the image (incremental — only changed packages recompile thanks to the build cache), and starts a fresh one, while everything else (databases, mocks, migrations) stays reused. make py-test-setup passes it by default, so the iteration loop is simply:
make py-test-setup # (re)build signoz from your current sources
uv run pytest --basetemp=./tmp/ -vv --reuse integration/tests/<suite>/
# ... edit backend code or tests ...
make py-test-setup # pick up the backend changes
uv run pytest --basetemp=./tmp/ -vv --reuse integration/tests/<suite>/
The same applies to the e2e stack. --rebuild requires --reuse and cannot be combined with --teardown or --clean.
Some suites define their own SigNoz variant in a suite-local conftest.py (create_signoz(..., cache_key=...) — e.g. basepath, metricreduction, querier_json_body). Those containers are not touched by make py-test-setup, which only rebuilds the default instance. For such suites, pass --rebuild on the suite run itself — it rebuilds every SigNoz variant the run instantiates:
uv run pytest --basetemp=./tmp/ -vv --reuse --rebuild integration/tests/<suite>/
Stopping the Test Environment
When you're done writing integration tests, clean up the environment:
make py-test-teardown
Which runs:
uv run pytest --basetemp=./tmp/ -vv --teardown --capture=no integration/bootstrap/setup.py::test_teardown
This destroys the running integration test setup and cleans up resources.
Cleaning the Image Build Cache
The signoz:integration image build keeps its Go build and module caches in BuildKit cache mounts, so rebuilds only recompile what changed. These caches survive --teardown (they belong to the Docker builder, not to any container). If a cache ever needs to be nuked — suspected corruption, disk pressure, or to force a genuinely cold build — pass the --clean flag:
uv run pytest --basetemp=./tmp/ -vv --teardown --clean integration/bootstrap/setup.py::test_teardown
--clean prunes the docker build artifacts backing the incremental image build at session start, so the next build starts from a clean slate. Images and regular layer cache stay intact, but note the pruning is host-wide — it clears build caches for other projects too, not just SigNoz's. The flag composes with any invocation — passing it on a normal --reuse run simply makes the next image build start cold (~3–4 minutes instead of seconds).
Understanding the Integration Test Framework
Python and pytest form the foundation of the integration testing framework. Testcontainers are used to spin up disposable integration environments. WireMock is used to spin up test doubles of external services (Zeus cloud API, gateway, etc.).
- Why Python/pytest? It's expressive, low-boilerplate, and has powerful fixture capabilities that make integration testing straightforward. Extensive libraries for HTTP requests, JSON handling, and data analysis (numpy) make it easier to test APIs and verify data.
- Why testcontainers? They let us spin up isolated dependencies that match our production environment without complex setup.
- Why WireMock? Well maintained, documented, and extensible.
tests/
├── conftest.py # pytest_plugins registration
├── pyproject.toml
├── uv.lock
├── fixtures/ # shared fixture library (flat package)
│ ├── __init__.py
│ ├── auth.py # admin/editor/viewer users, tokens, license
│ ├── clickhouse.py
│ ├── http.py # WireMock helpers
│ ├── keycloak.py # IdP container
│ ├── postgres.py
│ ├── signoz.py # SigNoz-backend container
│ ├── sql.py
│ ├── types.py
│ └── ... # logs, metrics, traces, alerts, dashboards, ...
├── integration/
│ ├── bootstrap/
│ │ └── setup.py # test_setup / test_teardown
│ ├── testdata/ # JSON / JSONL / YAML inputs per suite
│ └── tests/ # one directory per feature area
│ ├── alerts/
│ │ ├── 01_*.py # numbered suite files
│ │ └── conftest.py # optional suite-local fixtures
│ ├── auditquerier/
│ ├── cloudintegrations/
│ ├── dashboard/
│ ├── passwordauthn/
│ ├── querier/
│ └── ...
└── e2e/ # Playwright suite (see docs/contributing/tests/e2e.md)
Each test suite follows these principles:
- Organization: Suites live under
tests/integration/tests/in self-contained packages. Shared fixtures live in the top-leveltests/fixtures/package so the e2e tree can reuse them. - Execution Order: Files are prefixed with two-digit numbers (
01_,02_,03_) to ensure sequential execution when tests depend on ordering. - Time Constraints: Each suite should complete in under 10 minutes (setup takes ~4 mins).
Test Suite Design
Test suites should target functional domains or subsystems within SigNoz. When designing a test suite, consider these principles:
- Functional Cohesion: Group tests around a specific capability or service boundary
- Data Flow: Follow the path of data through related components
- Change Patterns: Components frequently modified together should be tested together
The exact boundaries for suites are intentionally flexible, allowing contributors to define logical groupings based on their domain knowledge. Current suites cover alerts, audit querier, callback authn, cloud integrations, dashboards, ingestion keys, logs pipelines, password authn, preferences, querier, raw export data, roles, root user, service accounts, and TTL.
How to write an integration test?
Now start writing an integration test. Create a new file tests/integration/tests/bootstrap/01_version.py and paste the following:
import requests
from fixtures import types
from fixtures.logger import setup_logger
logger = setup_logger(__name__)
def test_version(signoz: types.SigNoz) -> None:
response = requests.get(
signoz.self.host_configs["8080"].get("/api/v1/version"),
timeout=2,
)
logger.info(response)
We have written a simple test which calls the version endpoint of the SigNoz backend. To run just this function, run the following command:
cd tests
uv run pytest --basetemp=./tmp/ -vv --reuse \
integration/tests/bootstrap/01_version.py::test_version
Note: The
--reuseflag is used to reuse the environment if it is already running. Always use this flag when writing and running integration tests. Without it the environment is destroyed and recreated every run.
Here's another example of how to write a more comprehensive integration test:
from http import HTTPStatus
import requests
from fixtures import types
from fixtures.logger import setup_logger
logger = setup_logger(__name__)
def test_user_registration(signoz: types.SigNoz) -> None:
"""Test user registration functionality."""
response = requests.post(
signoz.self.host_configs["8080"].get("/api/v1/register"),
json={
"name": "testuser",
"orgId": "",
"orgName": "test.org",
"email": "test@example.com",
"password": "password123Z$",
},
timeout=2,
)
assert response.status_code == HTTPStatus.OK
assert response.json()["setupCompleted"] is True
Test inputs (JSON fixtures, expected payloads) go under tests/integration/testdata/<suite>/ and are loaded via fixtures.fs.get_testdata_file_path.
How to run integration tests?
Running All Tests
make py-test
Which runs:
uv run pytest --basetemp=./tmp/ -vv integration/tests/
Running Specific Test Categories
cd tests
uv run pytest --basetemp=./tmp/ -vv --reuse integration/tests/<suite>/
# Run querier tests
uv run pytest --basetemp=./tmp/ -vv --reuse integration/tests/querier/
# Run passwordauthn tests
uv run pytest --basetemp=./tmp/ -vv --reuse integration/tests/passwordauthn/
Running Individual Tests
uv run pytest --basetemp=./tmp/ -vv --reuse \
integration/tests/<suite>/<file>.py::test_name
# Run test_register in 01_register.py in the passwordauthn suite
uv run pytest --basetemp=./tmp/ -vv --reuse \
integration/tests/passwordauthn/01_register.py::test_register
How to configure different options for integration tests?
Tests can be configured using pytest options:
--sqlstore-provider— Choose the SQL store provider (default:postgres)--sqlite-mode— SQLite journal mode:deleteorwal(default:delete). Only relevant when--sqlstore-provider=sqlite.--postgres-version— PostgreSQL version (default:15)--clickhouse-version— ClickHouse version, also used for ClickHouse Keeper (default:25.12.5)--schema-migrator-version— SigNoz schema migrator version (default:v0.144.6)--with-web— Build the frontend into the SigNoz image (required for e2e)
Example:
uv run pytest --basetemp=./tmp/ -vv --reuse \
--sqlstore-provider=postgres --postgres-version=14 \
integration/tests/passwordauthn/
What should I remember?
- Always use the
--reuseflag when setting up the environment or running tests to keep containers warm. Without it every run rebuilds the stack (~4 mins). - Changed backend code? Re-run
make py-test-setup— it passes--rebuild, swapping the SigNoz container for one built from your current sources while the rest of the stack stays up. - Use the
--teardownflag only when cleaning up — mixing--teardownwith--reuseis a contradiction. - Do not pre-emptively teardown before setup. If the stack is partially up,
--reusepicks up from wherever it is.make py-test-teardownthenmake py-test-setupwastes minutes. - Follow the naming convention with two-digit numeric prefixes (
01_,02_) for ordered test execution within a suite. - Use proper timeouts in HTTP requests to avoid hanging tests (
timeout=5is typical). - Clean up test data between tests in the same suite to avoid interference — or rely on a fresh SigNoz container if you need full isolation.
- Use descriptive test names that clearly indicate what is being tested.
- Leverage fixtures for common setup. The shared fixture package is at
tests/fixtures/— reuse before adding new ones. - Test both success and failure scenarios (4xx / 5xx paths) to ensure robust functionality.
- Run
make py-fmtandmake py-lintbefore committing Python changes — ruff format + ruff check. --sqlite-mode=waldoes not work on macOS. The integration test environment runs SigNoz inside a Linux container with the SQLite database file mounted from the macOS host. WAL mode requires shared memory between connections, and connections crossing the VM boundary (macOS host ↔ Linux container) cannot share the WAL index, resulting inSQLITE_IOERR_SHORT_READ. WAL mode is tested in CI on Linux only.