dash/test
MarcoFalke ba73a3360a
Merge #17288: Added TestShell class for interactive Python environments.
19139ee034d20ebab1b91d3ac13a8eee70b59374 Add documentation for test_shell submodule (JamesC)
f5112369cf91451d2d0bf574a9bfdaea04696939 Add TestShell class (James Chiang)
5155602a636c323424f75272ccec38588b3d71cd Move argparse() to init() (JamesC)
2ab01462f48b2d4e0d03ba842c3af8851c67c6f1 Move assert num_nodes is set into main() (JamesC)
614c645643e86c4255b98c663c10f2c227158d4b Clear TestNode objects after shutdown (JamesC)
6f40820757d25ff1ccfdfcbdf2b45b8b65308010 Add closing and flushing of logging handlers (JamesC)
6b71241291a184c9ee197bf5f0c7e1414417a0a0 Refactor TestFramework main() into setup/shutdown (JamesC)
ede8b7608e115364b5bb12e7f39d662145733de6 Remove network_event_loop instance in close() (JamesC)

Pull request description:

  This PR refactors BitcoinTestFramework to encapsulate setup and shutdown logic into dedicated methods, and adds a  ~~TestWrapper~~ TestShell child class. This wrapper allows the underlying BitcoinTestFramework to run _between user inputs_ in a REPL environment, such as a Jupyter notebook or any interactive Python3 interpreter.

  The ~~TestWrapper~~ TestShell is motivated by the opportunity to expose the test-framework as a prototyping and educational toolkit. Examples of code prototypes enabled by  ~~TestWrapper~~ TestShell can be found in the Optech [Taproot/Schnorr](https://github.com/bitcoinops/taproot-workshop) workshop repository.

  Usage example:
  ```
  >>> import sys
  >>> sys.path.insert(0, "/path/to/bitcoin/test/functional")
  ```
  ```
  >>> from test_framework.test_wrapper import TestShell
  >>> test = TestShell()
  >>> test.setup(num_nodes=2)
  20XX-XX-XXTXX:XX:XX.XXXXXXX TestFramework (INFO): Initializing test directory /path/to/bitcoin_func_test_XXXXXXX
  ```
  ```
  >>> test.nodes[0].generate(101)
  >>> test.nodes[0].getblockchaininfo()["blocks"]
  101
  ```
  ```
  >>> test.shutdown()
  20XX-XX-XXTXX:XX:XX.XXXXXXX TestFramework (INFO): Stopping nodes
  20XX-XX-XXTXX:XX:XX.XXXXXXX TestFramework (INFO): Cleaning up /path/to/bitcoin_func_test_XXXXXXX on exit
  20XX-XX-XXTXX:XX:XX.XXXXXXX TestFramework (INFO): Tests successful
  ```

  **Overview of changes to BitcoinTestFramework:**

  - Code moved to `setup()/shutdown()` methods.
  - Argument parsing logic encapsulated by `parse_args` method.
  - Success state moved to `BitcoinTestFramework.success`.

  _During Shutdown_

  - `BitcoinTestFramework` logging handlers are flushed and removed.
  - `BitcoinTestFrameowork.nodes` list is cleared.
  - `NetworkThread.network_event_loop` is reset. (NetworkThread class).

  **Behavioural changes:**
  - Test parameters can now also be set when overriding BitcoinTestFramework.setup() in addition to overriding `set_test_params` method.
  - Potential exceptions raised in BitcoinTestFramework.setup() will be handled in main().

  **Added files:**
  - ~~test_wrapper.py~~ `test_shell.py`
  - ~~test-wrapper.md~~ `test-shell.md`

ACKs for top commit:
  jamesob:
    ACK 19139ee034
  jonatack:
    ACK 19139ee034d20ebab1b91d3ac13a8eee70b59374
  jnewbery:
    Rather than invalidate the three ACKs for a minor nit, can you force push back to 19139ee034d20ebab1b91d3ac13a8eee70b59374 please? I think this PR was ready to merge before your last force push.
  jachiang:
    > Rather than invalidate the three ACKs for a minor nit, can you force push back to [19139ee](19139ee034) please? I think this PR was ready to merge before your last force push.
  jnewbery:
    ACK 19139ee034d20ebab1b91d3ac13a8eee70b59374

Tree-SHA512: 0c24f405f295a8580a9c8f1b9e0182b5d753eb08cc331424616dd50a062fb773d3719db4d08943365b1f42ccb965cc363b4bcc5beae27ac90b3460b349ed46b2
2022-09-07 21:45:31 +03:00
..
functional Merge #17288: Added TestShell class for interactive Python environments. 2022-09-07 21:45:31 +03:00
fuzz partial bitcoin#18047: Add basic fuzzing harness for CNetAddr/CService/CSubNet related functions (netaddress.h) 2022-07-15 21:09:53 +05:30
lint Merge pull request #4845 from Munkybooty/backports-0.20-pr3 2022-08-29 12:41:20 +03:00
sanitizer_suppressions trivial: revert dashification of source and header filenames 2022-08-09 14:16:29 +05:30
util merge bitcoin#16725: Don't show addresses or P2PK in decoderawtransaction 2021-12-21 12:25:17 +05:30
config.ini.in Merge #19110: test: Explain that a bug should be filed when the tests fail 2021-12-28 00:27:10 -05:00
README.md Merge #17177: doc: Describe log files + consistent paths in test READMEs 2022-05-17 01:20:21 -04:00

This directory contains integration tests that test dashd and its utilities in their entirety. It does not contain unit tests, which can be found in /src/test, /src/wallet/test, etc.

This directory contains the following sets of tests:

  • functional which test the functionality of dashd and dash-qt by interacting with them through the RPC and P2P interfaces.
  • util which tests the dash utilities, currently only dash-tx.
  • lint which perform various static analysis checks.

The util tests are run as part of make check target. The functional tests and lint scripts can be run as explained in the sections below.

Running tests locally

Before tests can be run locally, Dash Core must be built. See the building instructions for help.

Functional tests

Dependencies and prerequisites

Many Dash specific tests require dash_hash. To install it:

  • Clone the repo git clone https://github.com/dashpay/dash_hash
  • Install dash_hash cd dash_hash && python3 setup.py install

The ZMQ functional test requires a python ZMQ library. To install it:

  • on Unix, run sudo apt-get install python3-zmq
  • on mac OS, run pip3 install pyzmq

On Windows the PYTHONUTF8 environment variable must be set to 1:

set PYTHONUTF8=1

Running the tests

Individual tests can be run by directly calling the test script, e.g.:

test/functional/wallet_hd.py

or can be run through the test_runner harness, eg:

test/functional/test_runner.py wallet_hd.py

You can run any combination (incl. duplicates) of tests by calling:

test/functional/test_runner.py <testname1> <testname2> <testname3> ...

Wildcard test names can be passed, if the paths are coherent and the test runner is called from a bash shell or similar that does the globbing. For example, to run all the wallet tests:

test/functional/test_runner.py test/functional/wallet*
functional/test_runner.py functional/wallet* (called from the test/ directory)
test_runner.py wallet* (called from the test/functional/ directory)

but not

test/functional/test_runner.py wallet*

Combinations of wildcards can be passed:

test/functional/test_runner.py ./test/functional/tool* test/functional/mempool*
test_runner.py tool* mempool*

Run the regression test suite with:

test/functional/test_runner.py

Run all possible tests with

test/functional/test_runner.py --extended

By default, up to 4 tests will be run in parallel by test_runner. To specify how many jobs to run, append --jobs=n

The individual tests and the test_runner harness have many command-line options. Run test/functional/test_runner.py -h to see them all.

Troubleshooting and debugging test failures

Resource contention

The P2P and RPC ports used by the dashd nodes-under-test are chosen to make conflicts with other processes unlikely. However, if there is another dashd process running on the system (perhaps from a previous test which hasn't successfully killed all its dashd nodes), then there may be a port conflict which will cause the test to fail. It is recommended that you run the tests on a system where no other dashd processes are running.

On linux, the test framework will warn if there is another dashd process running when the tests are started.

If there are zombie dashd processes after test failure, you can kill them by running the following commands. Note that these commands will kill all dashd processes running on the system, so should not be used if any non-test dashd processes are being run.

killall dashd

or

pkill -9 dashd
Data directory cache

A pre-mined blockchain with 200 blocks is generated the first time a functional test is run and is stored in test/cache. This speeds up test startup times since new blockchains don't need to be generated for each test. However, the cache may get into a bad state, in which case tests will fail. If this happens, remove the cache directory (and make sure dashd processes are stopped as above):

rm -rf test/cache
killall dashd
Test logging

The tests contain logging at five different levels (DEBUG, INFO, WARNING, ERROR and CRITICAL). From within your functional tests you can log to these different levels using the logger included in the test_framework, e.g. self.log.debug(object). By default:

  • when run through the test_runner harness, all logs are written to test_framework.log and no logs are output to the console.
  • when run directly, all logs are written to test_framework.log and INFO level and above are output to the console.
  • when run on Travis, no logs are output to the console. However, if a test fails, the test_framework.log and dashd debug.logs will all be dumped to the console to help troubleshooting.

These log files can be located under the test data directory (which is always printed in the first line of test output):

  • <test data directory>/test_framework.log
  • <test data directory>/node<node number>/regtest/debug.log.

The node number identifies the relevant test node, starting from node0, which corresponds to its position in the nodes list of the specific test, e.g. self.nodes[0].

To change the level of logs output to the console, use the -l command line argument.

test_framework.log and dashd debug.logs can be combined into a single aggregate log by running the combine_logs.py script. The output can be plain text, colorized text or html. For example:

test/functional/combine_logs.py -c <test data directory> | less -r

will pipe the colorized logs from the test into less.

Use --tracerpc to trace out all the RPC calls and responses to the console. For some tests (eg any that use submitblock to submit a full block over RPC), this can result in a lot of screen output.

By default, the test data directory will be deleted after a successful run. Use --nocleanup to leave the test data directory intact. The test data directory is never deleted after a failed test.

Attaching a debugger

A python debugger can be attached to tests at any point. Just add the line:

import pdb; pdb.set_trace()

anywhere in the test. You will then be able to inspect variables, as well as call methods that interact with the dashd nodes-under-test.

If further introspection of the dashd instances themselves becomes necessary, this can be accomplished by first setting a pdb breakpoint at an appropriate location, running the test to that point, then using gdb (or lldb on macOS) to attach to the process and debug.

For instance, to attach to self.node[1] during a run you can get the pid of the node within pdb.

(pdb) self.node[1].process.pid

Alternatively, you can find the pid by inspecting the temp folder for the specific test you are running. The path to that folder is printed at the beginning of every test run:

2017-06-27 14:13:56.686000 TestFramework (INFO): Initializing test directory /tmp/user/1000/testo9vsdjo3

Use the path to find the pid file in the temp folder:

cat /tmp/user/1000/testo9vsdjo3/node1/regtest/dashd.pid

Then you can use the pid to start gdb:

gdb /home/example/dashd <pid>

Note: gdb attach step may require ptrace_scope to be modified, or sudo preceding the gdb. See this link for considerations: https://www.kernel.org/doc/Documentation/security/Yama.txt

Profiling

An easy way to profile node performance during functional tests is provided for Linux platforms using perf.

Perf will sample the running node and will generate profile data in the node's datadir. The profile data can then be presented using perf report or a graphical tool like hotspot.

To generate a profile during test suite runs, use the --perf flag.

To see render the output to text, run

perf report -i /path/to/datadir/send-big-msgs.perf.data.xxxx --stdio | c++filt | less

For ways to generate more granular profiles, see the README in test/functional.

Util tests

Util tests can be run locally by running test/util/bitcoin-util-test.py. Use the -v option for verbose output.

Lint tests

Dependencies

Lint test Dependency Version used by CI Installation
lint-python.sh flake8 3.8.3 pip3 install flake8==3.8.3
lint-shell.sh ShellCheck 0.7.1 details...
lint-spelling.sh codespell 1.17.1 pip3 install codespell==1.17.1

Please be aware that on Linux distributions all dependencies are usually available as packages, but could be outdated.

Running the tests

Individual tests can be run by directly calling the test script, e.g.:

test/lint/lint-filenames.sh

You can run all the shell-based lint tests by running:

test/lint/lint-all.sh

Writing functional tests

You are encouraged to write functional tests for new or existing features. Further information about the functional test framework and individual tests is found in test/functional.