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# Functional tests
### Writing Functional Tests
#### Example test
The [example_test.py](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_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](https://www.python.org/dev/peps/pep-0008/)
- 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](/doc/dependencies.md).
Consider using [pyenv](https://github.com/pyenv/pyenv), which checks [.python-version](/.python-version),
to prevent accidentally introducing modern syntax from an unsupported Python version.
The Travis linter also checks this, but [possibly not in all cases](https://github.com/bitcoin/bitcoin/pull/14884#discussion_r239585126).
- See [the python lint script](/test/lint/lint-python.sh) that checks for violations that
could lead to bugs and issues in the test code.
- Avoid wildcard imports
- Use a module-level docstring to describe what the test is testing, and how it
is testing it.
- When subclassing the BitcoinTestFramwork, 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 `'{}'.format(x)` for string formatting, not `'%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
- 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 or on Travis).
- 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
- `messages.py` contains all the definitions for objects that pass
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.
- Can be used to write tests where specific P2P protocol behavior is tested.
Examples tests are `p2p_unrequested_blocks.py`, `p2p_compactblocks.py`.
### test-framework modules
#### [test_framework/authproxy.py](test_framework/authproxy.py)
Taken from the [python-bitcoinrpc repository](https://github.com/jgarzik/python-bitcoinrpc).
#### [test_framework/test_framework.py](test_framework/test_framework.py)
Base class for functional tests.
#### [test_framework/util.py](test_framework/util.py)
Generally useful functions.
#### [test_framework/mininode.py](test_framework/mininode.py)
Basic code to support P2P connectivity to a bitcoind.
#### [test_framework/script.py](test_framework/script.py)
Utilities for manipulating transaction scripts (originally from python-bitcoinlib)
#### [test_framework/key.py](test_framework/key.py)
Test-only secp256k1 elliptic curve implementation
#### [test_framework/bignum.py](test_framework/bignum.py)
Helpers for script.py
#### [test_framework/blocktools.py](test_framework/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](https://github.com/KDAB/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.
```python
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.p2p.send_message(some_large_message)
```
To see useful textual output, run
```sh
perf report -i /path/to/datadir/send-big-msgs.perf.data.xxxx --stdio | c++filt | less
```
#### See also:
- [Installing perf](https://askubuntu.com/q/50145)
- [Perf examples](http://www.brendangregg.com/perf.html)
- [Hotspot](https://github.com/KDAB/hotspot): a GUI for perf output analysis
|
