add252c301
* fix(server): Fix QUIT not shutting down connection Fixes #170 |
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.. | ||
dragonfly | ||
async.py | ||
gen_sets.sh | ||
generate_sets.py | ||
jedis.Dockerfile | ||
node-redis.Dockerfile | ||
README.md | ||
stress_shutdown.sh |
System tests
Pytest
The tests assume you have the "dragonfly" binary in <root>/build-dbg
directory.
You can override the location of the binary using DRAGONFLY_HOME
environment var.
to run pytest, run:
pytest -xv dragonfly
Writing tests
The Getting Started guide is a great resource to become familiar with writing pytest test cases.
Pytest will recursively search the tests/dragonfly
directory for files matching the patterns test_*.py
or *_test.py
for functions matching these rules:
- Functions or methods outside of a class prefixed by
test
- Functions or methods prefixed by
test
inside a class prefixed byTest
(without an__init__
method)
Note: When making a new directory in tests/dragonfly
be sure to create an __init__.py
file to avoid name conflicts
Interacting with Dragonfly
Pytest allows for parameters with a specific name to be automatically resolved through fixtures for any test function. The following fixtures are to be used to interact with Dragonfly when writing a test:
Name | Type | Scope | Description |
---|---|---|---|
tmp_dir | pathlib.Path | Session | The temporary directory the Dragonfly binary will be running in. The environment variable DRAGONFLY_TMP is also set to this value |
test_env | dict |
Session | The environment variables used when running Dragonfly as a dictionary |
client | redis.Redis | Class | The redis client to interact with the Dragonfly instance |
To avoid the overhead of spawning a Dragonfly process for every test the client
provided fixture has a Class
scope which means that all test functions in the same class will interact with the same Dragonfly instance.
Passing CLI commands to Dragonfly
To pass custom flags to the Dragonfly executable two class decorators have been created. @dfly_args
allows you to pass a list of parameters to the Dragonfly executable, similarly @dfly_multi_test_args
allows you to specify multiple parameter configurations to test with a given test class.
In the case of @dfly_multi_test_args
each parameter configuration will create one Dragonfly instance which each test will receive a client to as described in the above section
Parameters can use environmental variables with a formatted string where "{<VAR>}"
will be replaced with the value of the <VAR>
environment variable. Due to current pytest limtations fixtures cannot be passed to either of these decorators, this is currently the provided way to pass the temporary directory path in a CLI parameter.
Test Examples
- blpop_test: Simple test case interacting with Dragonfly
- snapshot_test: Example test using
@dfly_args
, environment variables and pre-test setup - key_limt_test: Example test using
@dfly_multi_test_args
Integration tests
To simplify running integration test each package should have its own Dockerfile. The Dockerfile should contain everything needed in order to test the package against Drafongly. Docker can assume Dragonfly is running on localhost:6379. To run the test:
docker build -t [test-name] -f [test-dockerfile-name] .
docker run --network=host [test-name]
Node-Redis
Integration test for node-redis client. Build:
docker build -t node-redis-test -f ./node-redis.Dockerfile .
Run:
docker run --network=host node-redis-test
to run only selected tests use:
docker run --network=host node-redis-test npm run test -w ./packages/client -- --redis-version=2.8 -g <regex>
In general, you can add this way any option from mocha framework.
Jedis
Integration test for the Jedis client. Build:
docker build -t jedis-test -f ./jedis.Dockerfile .
Run:
docker run --network=host jedis-test