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271acac3a7
bd7e530f010d43816bb05d6f1590d1cd36cdaa2c This PR adds initial support for type hints checking in python scripts. (Kiminuo) Pull request description: This PR adds initial support for type hints checking in python scripts. Support for type hints was introduced in Python 3.5. Type hints make it easier to read and review code in my opinion. Also an IDE may discover a potential bug sooner. Yet, as PEP 484 says: "It should also be emphasized that Python will remain a dynamically typed language, and the authors have no desire to ever make type hints mandatory, even by convention." [Mypy](https://mypy.readthedocs.io/en/latest/index.html) is used in `lint-python.sh` to do the type checking. The package is standard so there is little chance that it will be abandoned. Mypy checks that type hints in source code are correct when they are not, it fails with an error. **Notes:** * [--ignore-missing-imports](https://mypy.readthedocs.io/en/latest/command_line.html#cmdoption-mypy-ignore-missing-imports) switch is passed on to `mypy` checker for now. The effect of this is that one does not need `# type: ignore` for `import zmq`. More information about import processing can be found [here](https://mypy.readthedocs.io/en/stable/running_mypy.html#missing-imports). This can be changed in a follow-up PR, if it is deemed useful. * We are stuck with Python 3.5 until 04/2021 (see https://packages.ubuntu.com/xenial/python3). When Python version is bumped to 3.6+, one can change: ```python _opcode_instances = [] # type: List[CScriptOp] ``` to ```python _opcode_instances:List[CScriptOp] = [] ``` for type hints that are **not** function parameters and function return types. **Useful resources:** * https://docs.python.org/3.5/library/typing.html * https://www.python.org/dev/peps/pep-0484/ ACKs for top commit: fanquake: ACK bd7e530f010d43816bb05d6f1590d1cd36cdaa2c - the type checking is not the most robust (there are things it fails to detect), but I think this is worth adopting (in a limited capacity while we maintain 3.5 compat). MarcoFalke: ACK bd7e530f010d43816bb05d6f1590d1cd36cdaa2c fine with me Tree-SHA512: 21ef213915fb1dec6012f59ef17484e6c9e0abf542a316b63d5f21a7778ad5ebabf8961ef5fc8e5414726c2ee9c6ae07c7353fb4dd337f8fcef5791199c8987a
177 lines
8.4 KiB
Markdown
177 lines
8.4 KiB
Markdown
# Functional tests
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### Writing Functional Tests
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#### Example test
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The file [test/functional/example_test.py](example_test.py) is a heavily commented example
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of a test case that uses both the RPC and P2P interfaces. If you are writing your first test, copy
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that file and modify to fit your needs.
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#### Coverage
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Running `test/functional/test_runner.py` with the `--coverage` argument tracks which RPCs are
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called by the tests and prints a report of uncovered RPCs in the summary. This
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can be used (along with the `--extended` argument) to find out which RPCs we
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don't have test cases for.
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#### Style guidelines
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- Where possible, try to adhere to [PEP-8 guidelines](https://www.python.org/dev/peps/pep-0008/)
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- Use a python linter like flake8 before submitting PRs to catch common style
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nits (eg trailing whitespace, unused imports, etc)
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- The oldest supported Python version is specified in [doc/dependencies.md](/doc/dependencies.md).
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Consider using [pyenv](https://github.com/pyenv/pyenv), which checks [.python-version](/.python-version),
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to prevent accidentally introducing modern syntax from an unsupported Python version.
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The Travis linter also checks this, but [possibly not in all cases](https://github.com/bitcoin/bitcoin/pull/14884#discussion_r239585126).
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- See [the python lint script](/test/lint/lint-python.sh) that checks for violations that
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could lead to bugs and issues in the test code.
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- Use [type hints](https://docs.python.org/3/library/typing.html) in your code to improve code readability
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and to detect possible bugs earlier.
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- Avoid wildcard imports
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- Use a module-level docstring to describe what the test is testing, and how it
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is testing it.
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- When subclassing the BitcoinTestFramework, place overrides for the
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`set_test_params()`, `add_options()` and `setup_xxxx()` methods at the top of
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the subclass, then locally-defined helper methods, then the `run_test()` method.
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- Use `f'{x}'` for string formatting in preference to `'{}'.format(x)` or `'%s' % x`.
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#### Naming guidelines
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- Name the test `<area>_test.py`, where area can be one of the following:
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- `feature` for tests for full features that aren't wallet/mining/mempool, eg `feature_rbf.py`
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- `interface` for tests for other interfaces (REST, ZMQ, etc), eg `interface_rest.py`
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- `mempool` for tests for mempool behaviour, eg `mempool_reorg.py`
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- `mining` for tests for mining features, eg `mining_prioritisetransaction.py`
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- `p2p` for tests that explicitly test the p2p interface, eg `p2p_disconnect_ban.py`
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- `rpc` for tests for individual RPC methods or features, eg `rpc_listtransactions.py`
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- `tool` for tests for tools, eg `tool_wallet.py`
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- `wallet` for tests for wallet features, eg `wallet_keypool.py`
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- Use an underscore to separate words
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- 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`
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- Don't use the redundant word `test` in the name, eg `interface_zmq.py`, not `interface_zmq_test.py`
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#### General test-writing advice
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- Instead of inline comments or no test documentation at all, log the comments to the test log, e.g.
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`self.log.info('Create enough transactions to fill a block')`. Logs make the test code easier to read and the test
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logic easier [to debug](/test/README.md#test-logging).
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- Set `self.num_nodes` to the minimum number of nodes necessary for the test.
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Having additional unrequired nodes adds to the execution time of the test as
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well as memory/CPU/disk requirements (which is important when running tests in
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parallel).
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- Avoid stop-starting the nodes multiple times during the test if possible. A
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stop-start takes several seconds, so doing it several times blows up the
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runtime of the test.
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- Set the `self.setup_clean_chain` variable in `set_test_params()` to `True` to
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initialize an empty blockchain and start from the Genesis block, rather than
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load a premined blockchain from cache with the default value of `False`. The
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cached data directories contain a 200-block pre-mined blockchain with the
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spendable mining rewards being split between four nodes. Each node has 25
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mature block subsidies (25x500=12500 DASH) in its wallet. Using them is much more
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efficient than mining blocks in your test.
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- When calling RPCs with lots of arguments, consider using named keyword
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arguments instead of positional arguments to make the intent of the call
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clear to readers.
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- Many of the core test framework classes such as `CBlock` and `CTransaction`
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don't allow new attributes to be added to their objects at runtime like
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typical Python objects allow. This helps prevent unpredictable side effects
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from typographical errors or usage of the objects outside of their intended
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purpose.
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#### RPC and P2P definitions
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Test writers may find it helpful to refer to the definitions for the RPC and
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P2P messages. These can be found in the following source files:
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- `/src/rpc/*` for RPCs
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- `/src/wallet/rpc*` for wallet RPCs
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- `ProcessMessage()` in `/src/net_processing.cpp` for parsing P2P messages
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#### Using the P2P interface
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- [messages.py](test_framework/messages.py) contains all the definitions for objects that pass
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over the network (`CBlock`, `CTransaction`, etc, along with the network-level
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wrappers for them, `msg_block`, `msg_tx`, etc).
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- P2P tests have two threads. One thread handles all network communication
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with the dashd(s) being tested in a callback-based event loop; the other
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implements the test logic.
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- `P2PConnection` is the class used to connect to a dashd. `P2PInterface`
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contains the higher level logic for processing P2P payloads and connecting to
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the Bitcoin Core node application logic. For custom behaviour, subclass the
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P2PInterface object and override the callback methods.
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- Can be used to write tests where specific P2P protocol behavior is tested.
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Examples tests are [p2p_unrequested_blocks.py](p2p_unrequested_blocks.py),
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[p2p_compactblocks.py](p2p_compactblocks.py).
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#### Prototyping tests
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The [`TestShell`](test-shell.md) class exposes the BitcoinTestFramework
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functionality to interactive Python3 environments and can be used to prototype
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tests. This may be especially useful in a REPL environment with session logging
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utilities, such as
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[IPython](https://ipython.readthedocs.io/en/stable/interactive/reference.html#session-logging-and-restoring).
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The logs of such interactive sessions can later be adapted into permanent test
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cases.
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### Test framework modules
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The following are useful modules for test developers. They are located in
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[test/functional/test_framework/](test_framework).
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#### [authproxy.py](test_framework/authproxy.py)
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Taken from the [python-bitcoinrpc repository](https://github.com/jgarzik/python-bitcoinrpc).
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#### [test_framework.py](test_framework/test_framework.py)
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Base class for functional tests.
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#### [util.py](test_framework/util.py)
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Generally useful functions.
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#### [mininode.py](test_framework/mininode.py)
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Basic code to support P2P connectivity to a dashd.
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#### [script.py](test_framework/script.py)
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Utilities for manipulating transaction scripts (originally from python-bitcoinlib)
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#### [key.py](test_framework/key.py)
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Test-only secp256k1 elliptic curve implementation
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#### [blocktools.py](test_framework/blocktools.py)
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Helper functions for creating blocks and transactions.
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### Benchmarking with perf
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An easy way to profile node performance during functional tests is provided
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for Linux platforms using `perf`.
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Perf will sample the running node and will generate profile data in the node's
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datadir. The profile data can then be presented using `perf report` or a graphical
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tool like [hotspot](https://github.com/KDAB/hotspot).
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There are two ways of invoking perf: one is to use the `--perf` flag when
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running tests, which will profile each node during the entire test run: perf
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begins to profile when the node starts and ends when it shuts down. The other
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way is the use the `profile_with_perf` context manager, e.g.
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```python
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with node.profile_with_perf("send-big-msgs"):
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# Perform activity on the node you're interested in profiling, e.g.:
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for _ in range(10000):
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node.p2p.send_message(some_large_message)
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```
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To see useful textual output, run
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```sh
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perf report -i /path/to/datadir/send-big-msgs.perf.data.xxxx --stdio | c++filt | less
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```
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#### See also:
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- [Installing perf](https://askubuntu.com/q/50145)
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- [Perf examples](http://www.brendangregg.com/perf.html)
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- [Hotspot](https://github.com/KDAB/hotspot): a GUI for perf output analysis
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