66caae4a44
PR-URL: https://github.com/hasura/graphql-engine-mono/pull/5362 GitOrigin-RevId: 5e246c3af3bdf2a7b5b2a66e2e09f40abcdfd9c9 |
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.. | ||
Harness | ||
Test | ||
README.md | ||
Spec.hs | ||
SpecHook.hs |
tests-hspec
Graphql-engine integration tests written in Haskell using the hspec testing framework.
For motivation, rationale, and more, see the test suite rfc.
Table of Contents
- tests-hspec
Required setup for BigQuery tests
Running integration tests against a BigQuery data source is a more involved due to the necessary service account requirements:
HASURA_BIGQUERY_PROJECT_ID=# the project ID of the service account
HASURA_BIGQUERY_SERVICE_KEY=# the service account key
# optional variable used to verify the account setup in step 4 below
HASURA_BIGQUERY_SERVICE_ACCOUNT_EMAIL=# eg. "<<SERVICE_ACCOUNT_NAME>>@<<PROJECT_NAME>>.iam.gserviceaccount.com"
Before running the test suite:
-
Ensure you have access to a Google Cloud Console service account. Store the project ID and account email in
HASURA_BIGQUERY_PROJECT_ID
variable. -
Create and download a new service account key. Store the contents of file in a
HASURA_BIGQUERY_SERVICE_KEY
variable.export HASURA_BIGQUERY_SERVICE_KEY=$(cat /path/to/service/account)
-
Login and activate the service account, if it is not already activated.
-
Verify the service account is accessible via the BigQuery API, by running the following command:
./scripts/verify-bigquery-creds.sh
If the query succeeds, the service account is setup correctly to run tests against BigQuery locally.
-
If necessary, create a dataset called "hasura" in the BigQuery workspace.
-
Finally, run the BigQuery tests once the
HASURA_BIGQUERY_SERVICE_KEY
andHASURA_BIGQUERY_PROJECT_ID
environment variables set. For example:cabal run tests-hspec -- -m "BigQuery"
Note to Hasura team: a service account is already setup for internal use, please check the wiki for further details.
Running the test suite
-
To run the Haskell integration test suite, we'll first need to start the backends:
docker compose up
This will start up Postgres, SQL Server, Citus, MariaDB and the Hasura Data Connectors' reference agent.
Note
: on ARM64 architecture we'll need additional steps in order to test mssql properly. See
SQLServer
failures on Apple M1 chips for more details. -
Once the containers are up, you can run the test suite via
cabal run tests-hspec
You can also further refine which tests to run using the
-m
flag:cabal run tests-hspec -- -m "SQLServer"
For additional information, consult the help section:
cabal run tests-hspec -- --help
-
The local databases persist even after shutting down the containers. If this is undesirable, delete the databases using the following command:
docker compose down --volumes
Enabling logging
In order to enable logging, you have to manually edit the engineLogLevel
term
in Harness/Constants.hs.
This pairs well with running a single test via the -m
flag (see the section
above).
Test suite structure
Harness
Modules under the Harness/ namespace provide the infrastructure and supporting code for writing and running the tests. It includes quasiquoters, interacting with backends, interfacing with HTTP, constants, and so on.
Supporting code should be added under the Harness.*
namespace instead of
added ad-hoc in test specs, to improve readability and reuse.
Test
Modules under the Test/ namespace define integration test specifications for various features and backends.
Adding a new test
Tests are written using hspec
and
hspec-discover
:
- Modules are declared under the
Test
namespace. - Module names must end with
Spec
(e.g.HelloWorldSpec
). - Module names must contain some value
spec :: SpecWith TestEnvironment
, which serves as the entry point for the module.
See the documentation for hspec
and hspec-discover
, as well as other
modules in the Test
namespace, for more guidance. As well as this, the module
Test.HelloWorldSpec contains a skeleton for writing
new tests.
Specifying contexts
We often want to run the same tests several times with slightly different configuration. Most commonly, we want to assert that a given behaviour works consistently across different backends.
Harness.Test.Context defines two functions for
running test trees in terms of a list of Context a
s.
Each Context a
requires:
- a unique
name
, of typeContextName
- a
mkLocalTestEnvironment
action, of typeTestEnvironment -> IO a
- a
setup
action, of type(TestEnvironment, a) -> IO ()
- a
teardown
action, of type(TestEnvironment, a) -> IO ()
- an
customOptions
parameter, which will be threaded through the tests themselves to modify behavior for a particularContext
Of these two functions, whether one wishes to use Harness.Test.Context.run
or
Harness.Test.Context.runWithLocalTestEnvironment
will depend on if their test can be
written in terms of information provided by the global TestEnvironment
type or if it
depends on some additional "local" state.
More often than not, test authors should use Harness.Test.Context.run
, which
is written in terms of Context ()
. This uses ()
for the local test which
does not carry any "useful" state information, and is therefore omitted from
the body of the tests themselves.
In the rare cases where some local state is necessary (either for the test
itself, or as an argument to the teardown
action for some Context
), test
authors should use Harness.Test.Context.runWithLocalTestEnvironment
. This function
takes a type parameter for its local testEnvironment, which will be provided to both
the teardown
action specified in Context
as well as the body of tests
themselves.
Make local testEnvironment action
This refers to the function mkLocalTestEnvironment
defined for Context
:
mkLocalTestEnvironment :: TestEnvironment -> IO a
Its return value, IO a
, matches the a
of Context a
: it is the
additional local state that is required throughout the tests, in
addition to the global TestEnvironment
. Some tests, such as tests
which check remote relationships, need to keep some state which is
local to the context, but most tests do not need additional state, and
define mkLocalTestEnvironment
to be
Harness.Test.Context.noLocalTestEnvironment
.
This local state will be pass to the setup
function and the teardown
function.
The teardown
function is responsible to destroy the local state as well, if needed.
Setup action
A setup action is a function of type (TestEnvironment, a) -> IO ()
which is responsible for
creating the environment for the test. It needs to:
- Clear and reconfigure the metadata
- Setup tables and insert values
- Track tables, add relationships, permissions
etc.
These actions can be created by running POST requests against graphql-engine
using Harness.GraphqlEngine.post_
, or by running SQL requests against the
backend using Backend.<backend>.run_
.
Teardown action
The teardown action is another function of type (TestEnvironment, a) -> IO ()
which is
responsible for removing the environment created by the test or setup, so that
other tests can have a "clean slate" with no artifacts. The (TestEnvironment, a)
parameter is constructed from the a
parameter of the Context a
: it is the
local state that is passed throughout the tests.
This action is responsible for freeing acquired resources, and reverting all local modifications: dropping newly created tables, deleting custom functions, removing the changes made to the metadata, and so on.
These actions can be created by running POST requests against graphql-engine
using Harness.GraphqlEngine.post_
, or by running SQL requests against the
backend using Backend.<backend>.run_
.
Writing tests
Test should be written (or reachable from) tests :: SpecWith TestEnvironment
, or tests :: SpecWith (TestEnvironment, Foo)
for tests that use an additional local state.
A typical test will look similar to this:
it "Where id=1" \testEnvironment ->
shouldReturnYaml
( GraphqlEngine.postGraphql
testEnvironment
[graphql|
query {
hasura_author(where: {id: {_eq: 1}}) {
name
id
}
}
|]
)
[yaml|
data:
hasura_author:
- name: Author 1
id: 1
|]
it
specifies the name of the testshouldReturnYaml
creates anExpectation
which does the following:- Runs a POST request against graphql-engine which can be specified using the
graphql
quasi-quoter. - Compares the response to an expected result which can be specified using the
yaml
quasi-quoter.
- Runs a POST request against graphql-engine which can be specified using the
Note: these quasi-quoter can also perform string interpolation. See the relevant modules under the Harness.Quoter namespace.
Debugging
There are times when you would want to debug a test failure by playing around with the Hasura's Graphql engine or by inspecting the database. The default behavior of the test suite is to drop all the data and the tables onces the test suite finishes. To prevent that, you can modify your test module to prevent teardown. Example:
spec :: SpecWith TestEnvironment
spec =
Context.run
[ Context.Context
{ name = Context.Backend Context.SQLServer,
mkLocalTestEnvironment = Context.noLocalTestEnvironment,
setup = SqlServer.setup schema,
- teardown = SqlServer.teardown schema,
+ teardown = const $ pure (),
customOptions = Nothing
}]
Now re-run the particular test case again so that the local database is setup. You will still have access to that data once the test suite finishes running. Now based on what you want to, you can either run the Hasura's Graphql engine to debug this further or directly inspect the database using any of it's clients.
Using GHCI
Alternatively it is also possible to manually start up the test environment in the GHCI repl.
An example session:
$ cabal repl graphql-engine:tests-hspec
GHCi, version 8.10.7: https://www.haskell.org/ghc/ :? for help
[ 1 of 59] Compiling Harness.Constants ( tests-hspec/Harness/Constants.hs, interpreted )
...
[59 of 59] Compiling Main ( tests-hspec/Spec.hs, interpreted )
Ok, 59 modules loaded.
*Main> :module *Main *SpecHook *Test.SomeSpecImDeveloping
*Main *SpecHook *Test.SomeSpecImDeveloping> te <- SpecHook.setupTestEnvironment
*Main *SpecHook *Test.SomeSpecImDeveloping> te
<TestEnvironment: http://127.0.0.1:35975 >
*Main *SpecHook *Test.SomeSpecImDeveloping> -- Setup the instance according to the Context
*Main *SpecHook *Test.SomeSpecImDeveloping> cleanupPG <- Context.contextRepl Test.SomeSpecImDeveloping.postgresContext te
*Main *SpecHook *Test.SomeSpecImDeveloping>
*Main *SpecHook *Test.SomeSpecImDeveloping> -- run tests or parts of tests manually here
*Main *SpecHook *Test.SomeSpecImDeveloping> Test.SomeSpecImDeveloping.someExample te
*Main *SpecHook *Test.SomeSpecImDeveloping>
*Main *SpecHook *Test.SomeSpecImDeveloping> -- run the test with the hspec runner
*Main *SpecHook *Test.SomeSpecImDeveloping> hspec (aroundAllWith (\a () ->a te) Test.SomeSpecImDeveloping>.spec)
Postgres
... [✔]
Citus
... [✔]
*Main *SpecHook *Test.SomeSpecImDeveloping>
*Main *SpecHook *Test.SomeSpecImDeveloping> -- Or perform other manual inspections, e.g. via the console or ghci.
*Main *SpecHook *Test.SomeSpecImDeveloping>
*Main *SpecHook *Test.SomeSpecImDeveloping> -- Cleanup before reloading
*Main *SpecHook *Test.SomeSpecImDeveloping> cleanupPG
*Main *SpecHook *Test.SomeSpecImDeveloping> SpecHook.teardownTestEnvironment te
*Main *SpecHook *Test.SomeSpecImDeveloping> -- Reload changes made to the test module or HGE.
*Main *SpecHook *Test.SomeSpecImDeveloping> :reload
Points to note:
SpecHook.setupTestEnvironment
starts the HGE server, and its url is revealed byinstance Show TestEnvironment
.SpecHook.teardownTestEnvironment
stops it again.- This is a good idea to do before issuing the
:reload
command, because reloading loses thete
reference but leaves the thread running!
- This is a good idea to do before issuing the
Context.contextRepl
runs the setup action of a givenContext
and returns a corresponding teardown action.- After running this you can interact with the HGE console in the same state as when the tests are run.
- Or you can run individual test
Example
s orSpec
s.
- To successfully debug/develop a test in the GHCI repl, the test module should:
- define its
Context
s as toplevel values, - define its
Example
s as toplevel values, - ... such that they can be used directly in the repl.
- define its
Style guide
Stick to Simple Haskell
This test suite should remain accessible to contributors who are new to Haskell and/or the GraphQL engine codebase. Consider the power-to-weight ratio of features, language extensions or abstractions before you introduce them. For example, try to fully leverage Haskell '98 or 2010 features before making use of more advanced ones.
Write small, atomic, autonomous specs
Small: Keep specs short and succinct wherever possible. Consider reorganising modules that grow much longer than ~200-300 lines of code.
For example: The TestGraphQLQueryBasic
pytest class was ported to the hspec suite as separate BasicFields
, LimitOffset
, Where
, Ordering
, Directives
and Views
specs.
Atomic: Each spec should test only one feature against the backends (or contexts) that support it. Each module should contain only the context setup and teardown, and the tests themselves. The database schema, test data, and feature expectations should be easy to reason about without navigating to different module.
For example: BasicFieldsSpec.hs
Autonomous: Each test should run independently of other tests, and not be dependent on the results of a previous test. Shared test state, where unavoidable, should be made explicit.
For example: Remote relationship tests explicitly require shared state.
Use the Harness.*
hierarchy for common functions
Avoid functions or types in tests, other than calls to the Harness.*
API.
Any supporting code should be in the Harness.*
hierarchy and apply broadly to the test suites overall.
Troubleshooting
Database 'hasura' already exists. Choose a different database name.
or schema "hasura" does not exist
This typically indicates persistent DB state between test runs. Try docker compose down --volumes
to delete the DBs and restart the containers.
General DataConnector
failures
The DataConnector agent might be out of date. If you are getting a lot of test failures, first try rebuilding the containers with docker compose build
to make sure you are using the latest version of the agent.
SQLServer
failures on Apple M1 chips
We have a few problems with SQLServer on M1:
-
Compiler bug in GHC 8.10.7 on M1.
Due to compiler bugs in GHC 8.10.7 we need to use patched Haskell ODBC bindings as a workaround for M1 systems. Make the following change in the
cabal.project
:source-repository-package type: git - location: https://github.com/fpco/odbc.git - tag: 3d80ffdd4a2879f0debecabb56d834d2d898212b + location: https://github.com/soupi/odbc.git + tag: 46ada57c0d8f750280d6c554536c0fbcff02be59
-
Microsoft did not release SQL Server for M1. We need to use Azure SQL Edge instead.
Switch the docker image in
docker-compose/sqlserver/Dockerfile
toazure-sql-edge
:- FROM mcr.microsoft.com/mssql/server:2019-latest@sha256:a098c9ff6fbb8e1c9608ad7511fa42dba8d22e0d50b48302761717840ccc26af + FROM mcr.microsoft.com/azure-sql-edge
Note: you might need to rebuild the Docker images with
docker compose build
-
Azure SQL Edge does not ship with the
sqlcmd
utility with which we use to setup the SQL Server schema.-
Install it locally instead, with brew:
brew install microsoft/mssql-release/mssql-tools
. -
To start the test suite's backends, we need to setup the SQL Server schema using our local
sqlcmd
. To start the backends, run this command instead:- docker compose up + docker compose up & (cd docker-compose/sqlserver/ && ./run-init.sh 65003) && fg
-