Wladimir J. van der Laan b6a71b80d2
Merge #19055: Add MuHash3072 implementation
9815332d5158d69a94abeaf465a2c07bd8e43359 test: Change MuHash Python implementation to match cpp version again (Fabian Jahr)
01297fb3ca57e4b8cbc5a89fc7c6367de33b0bc6 fuzz: Add MuHash consistency fuzz test (Fabian Jahr)
b111410914041b72961536c3e4037eba103a8085 test: Add MuHash3072 fuzz test (Fabian Jahr)
c1225273857f9fa2e2276396e3f8b3ea48306df3 bench: Add Muhash benchmarks (Fabian Jahr)
7b1242229d1fcc9277238a3aefb3431061c82bfa test: Add MuHash3072 unit tests (Fabian Jahr)
adc708c98dbf03b1735edc91f813a36580781a95 crypto: Add MuHash3072 implementation (Fabian Jahr)
0b4d290bf5b0a4d156c523431bf89aaa9ffe92e5 crypto: Add Num3072 implementation (Fabian Jahr)
589f958662a2dcaacdb9a66f1088c74828a39577 build: Check for 128 bit integer support (Fabian Jahr)

Pull request description:

  This is the first split of #18000 which implements the Muhash algorithm and uses it to calculate the UTXO set hash in `gettxoutsetinfo`.

ACKs for top commit:
  laanwj:
    Code review ACK 9815332d5158d69a94abeaf465a2c07bd8e43359

Tree-SHA512: 4bc090738f0e3d80b74bdd8122e24a8ce80121120fd37c7e4335a73e7ba4fcd7643f2a2d559e2eebf54b8e3a3bd5f12cfb27ba61ded135fda210a07a233eae45
2021-01-07 17:57:17 +01:00
..
2020-11-04 12:16:57 -05:00
2021-01-04 12:31:31 +08:00
2020-09-13 13:43:03 -04:00
2021-01-04 12:31:31 +08:00
2021-01-04 12:31:31 +08:00
2020-08-18 19:24:39 +09:00

Functional tests

Writing Functional Tests

Example test

The file test/functional/example_test.py is a heavily commented example of a test case that uses both the RPC and P2P interfaces. If you are writing your first test, copy that file and modify to fit your needs.

Coverage

Running test/functional/test_runner.py with the --coverage argument tracks which RPCs are called by the tests and prints a report of uncovered RPCs in the summary. This can be used (along with the --extended argument) to find out which RPCs we don't have test cases for.

Style guidelines

  • Where possible, try to adhere to PEP-8 guidelines
  • Use a python linter like flake8 before submitting PRs to catch common style nits (eg trailing whitespace, unused imports, etc)
  • The oldest supported Python version is specified in doc/dependencies.md. Consider using pyenv, which checks .python-version, to prevent accidentally introducing modern syntax from an unsupported Python version. The CI linter job also checks this, but possibly not in all cases.
  • See the python lint script that checks for violations that could lead to bugs and issues in the test code.
  • Use type hints in your code to improve code readability and to detect possible bugs earlier.
  • Avoid wildcard imports
  • Use a module-level docstring to describe what the test is testing, and how it is testing it.
  • When subclassing the BitcoinTestFramework, place overrides for the set_test_params(), add_options() and setup_xxxx() methods at the top of the subclass, then locally-defined helper methods, then the run_test() method.
  • Use f'{x}' for string formatting in preference to '{}'.format(x) or '%s' % x.

Naming guidelines

  • Name the test <area>_test.py, where area can be one of the following:
    • feature for tests for full features that aren't wallet/mining/mempool, eg feature_rbf.py
    • interface for tests for other interfaces (REST, ZMQ, etc), eg interface_rest.py
    • mempool for tests for mempool behaviour, eg mempool_reorg.py
    • mining for tests for mining features, eg mining_prioritisetransaction.py
    • p2p for tests that explicitly test the p2p interface, eg p2p_disconnect_ban.py
    • rpc for tests for individual RPC methods or features, eg rpc_listtransactions.py
    • tool for tests for tools, eg tool_wallet.py
    • wallet for tests for wallet features, eg wallet_keypool.py
  • Use an underscore to separate words
    • exception: for tests for specific RPCs or command line options which don't include underscores, name the test after the exact RPC or argument name, eg rpc_decodescript.py, not rpc_decode_script.py
  • Don't use the redundant word test in the name, eg interface_zmq.py, not interface_zmq_test.py

General test-writing advice

  • Instead of inline comments or no test documentation at all, log the comments to the test log, e.g. self.log.info('Create enough transactions to fill a block'). Logs make the test code easier to read and the test logic easier to debug.
  • Set self.num_nodes to the minimum number of nodes necessary for the test. Having additional unrequired nodes adds to the execution time of the test as well as memory/CPU/disk requirements (which is important when running tests in parallel).
  • Avoid stop-starting the nodes multiple times during the test if possible. A stop-start takes several seconds, so doing it several times blows up the runtime of the test.
  • Set the self.setup_clean_chain variable in set_test_params() to control whether or not to use the cached data directories. The cached data directories contain a 200-block pre-mined blockchain and wallets for four nodes. Each node has 25 mature blocks (25x50=1250 BTC) in its wallet.
  • When calling RPCs with lots of arguments, consider using named keyword arguments instead of positional arguments to make the intent of the call clear to readers.
  • Many of the core test framework classes such as CBlock and CTransaction don't allow new attributes to be added to their objects at runtime like typical Python objects allow. This helps prevent unpredictable side effects from typographical errors or usage of the objects outside of their intended purpose.

RPC and P2P definitions

Test writers may find it helpful to refer to the definitions for the RPC and P2P messages. These can be found in the following source files:

  • /src/rpc/* for RPCs
  • /src/wallet/rpc* for wallet RPCs
  • ProcessMessage() in /src/net_processing.cpp for parsing P2P messages

Using the P2P interface

  • P2Ps can be used to test specific P2P protocol behavior. p2p.py contains test framework p2p objects and messages.py contains all the definitions for objects passed over the network (CBlock, CTransaction, etc, along with the network-level wrappers for them, msg_block, msg_tx, etc).

  • P2P tests have two threads. One thread handles all network communication with the bitcoind(s) being tested in a callback-based event loop; the other implements the test logic.

  • P2PConnection is the class used to connect to a bitcoind. P2PInterface contains the higher level logic for processing P2P payloads and connecting to the Bitcoin Core node application logic. For custom behaviour, subclass the P2PInterface object and override the callback methods.

P2PConnections can be used as such:

p2p_conn = node.add_p2p_connection(P2PInterface())
p2p_conn.send_and_ping(msg)

They can also be referenced by indexing into a TestNode's p2ps list, which contains the list of test framework p2p objects connected to itself (it does not include any TestNodes):

node.p2ps[0].sync_with_ping()

More examples can be found in p2p_unrequested_blocks.py, p2p_compactblocks.py.

Prototyping tests

The TestShell class exposes the BitcoinTestFramework functionality to interactive Python3 environments and can be used to prototype tests. This may be especially useful in a REPL environment with session logging utilities, such as IPython. The logs of such interactive sessions can later be adapted into permanent test cases.

Test framework modules

The following are useful modules for test developers. They are located in test/functional/test_framework/.

authproxy.py

Taken from the python-bitcoinrpc repository.

test_framework.py

Base class for functional tests.

util.py

Generally useful functions.

p2p.py

Test objects for interacting with a bitcoind node over the p2p interface.

script.py

Utilities for manipulating transaction scripts (originally from python-bitcoinlib)

key.py

Test-only secp256k1 elliptic curve implementation

blocktools.py

Helper functions for creating blocks and transactions.

Benchmarking with perf

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.

There are two ways of invoking perf: one is to use the --perf flag when running tests, which will profile each node during the entire test run: perf begins to profile when the node starts and ends when it shuts down. The other way is the use the profile_with_perf context manager, e.g.

with node.profile_with_perf("send-big-msgs"):
    # Perform activity on the node you're interested in profiling, e.g.:
    for _ in range(10000):
        node.p2ps[0].send_message(some_large_message)

To see useful textual output, run

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

See also: