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174 lines
8.2 KiB
Plaintext
This README file describes the files and directories related to the Python test
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suite under the current 'test' directory.
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o dotest.py
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Provides the test driver for the test suite. To invoke it, cd to the 'test'
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directory and issue the './dotest.py' command or './dotest.py -v' for more
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verbose output. '.dotest.py -h' prints out the help messge.
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A specific naming pattern is followed by the .py script under the 'test'
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directory in order to be recognized by 'dotest.py' test driver as a module
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which implements a test case, namely, Test*.py.
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Some example usages:
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1. ./dotest.py -v . 2> ~/Developer/Log/lldbtest.log0
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This runs the test suite and directs the run log to a file.
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2. LLDB_LOG=/tmp/lldb.log GDB_REMOTE_LOG=/tmp/gdb-remote.log ./dotest.py -v . 2> ~/Developer/Log/lldbtest.log
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This runs the test suite, with logging turned on for the lldb as well as
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the process.gdb-remote channels and directs the run log to a file.
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o lldbtest.py
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Provides an abstract base class of lldb test case named 'TestBase', which in
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turn inherits from Python's unittest.TestCase. The concrete subclass can
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override lldbtest.TestBase in order to inherit the common behavior for
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unittest.TestCase.setUp/tearDown implemented in this file.
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To provide a test case, the concrete subclass provides methods whose names
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start with the letters test. For more details about the Python's unittest
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framework, go to http://docs.python.org/library/unittest.html.
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./command_source/TestCommandSource.py provides a simple example of test case
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which overrides lldbtest.TestBase to exercise the lldb's 'command source'
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command. The subclass should override the attribute 'mydir' in order for the
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runtime to locate the individual test cases when running as part of a large
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test suite or when running each test case as a separate Python invocation.
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The doc string provides more details about the setup required for running a
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test case on its own. To run the whole test suite, 'dotest.py' is all you
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need to do.
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o subdirectories of 'test'
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Most of them predate the introduction of the python test suite and contain
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example C/C++/ObjC source files which get compiled into executables which are
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to be exercised by the debugger.
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For such subdirectory which has an associated Test*.py file, it was added as
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part of the Python-based test suite to test lldb functionality.
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Some of the subdirectories, for example, the 'help' subdirectory, do not have
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C/C++/ObjC source files; they were created to house the Python test case which
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does not involve lldb reading in an executable file at all.
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The sample_test directory contains examples of both a full and an "inline"
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testcase that run a process to a breakpoint and check a local variable. These
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are convenient starting points for adding new tests.
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o make directory
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Contains Makefile.rules, which can be utilized by test cases to write Makefile
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based rules to build binaries for the inferiors.
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By default, the built executable name is a.out, which can be overwritten by
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specifying your EXE make variable, via the Makefile under the specific test
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directory or via supplying a Python dictionary to the build method in your
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Python test script. An example of the latter can be found in
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test/lang/objc/radar-9691614/TestObjCMethodReturningBOOL.py, where:
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def test_method_ret_BOOL_with_dsym(self):
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"""Test that objective-c method returning BOOL works correctly."""
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d = {'EXE': self.exe_name}
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self.buildDsym(dictionary=d)
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self.setTearDownCleanup(dictionary=d)
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self.objc_method_ret_BOOL(self.exe_name)
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def test_method_ret_BOOL_with_dwarf(self):
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"""Test that objective-c method returning BOOL works correctly."""
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d = {'EXE': self.exe_name}
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self.buildDwarf(dictionary=d)
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self.setTearDownCleanup(dictionary=d)
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self.objc_method_ret_BOOL(self.exe_name)
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def setUp(self):
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# Call super's setUp().
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TestBase.setUp(self)
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# We'll use the test method name as the exe_name.
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self.exe_name = self.testMethodName
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# Find the line number to break inside main().
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self.main_source = "main.m"
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self.line = line_number(self.main_source, '// Set breakpoint here.')
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The exe names for the two test methods are equal to the test method names and
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are therefore guaranteed different.
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o plugins directory
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Contains platform specific plugin to build binaries with dsym/dwarf debugging
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info. Other platform specific functionalities may be added in the future.
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o unittest2 directory
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Many new features were added to unittest in Python 2.7, including test
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discovery. unittest2 allows you to use these features with earlier versions of
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Python.
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It currently has unittest2 0.5.1 from http://pypi.python.org/pypi/unittest2.
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Version 0.5.1 of unittest2 has feature parity with unittest in Python 2.7
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final. If you want to ensure that your tests run identically under unittest2
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and unittest in Python 2.7 you should use unittest2 0.5.1.
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Later versions of unittest2 include changes in unittest made in Python 3.2 and
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onwards after the release of Python 2.7.
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o dotest.pl
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In case you wonder, there is also a 'dotest.pl' perl script file. It was
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created to visit each Python test case under the specified directory and
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invoke Python's builtin unittest.main() on each test case.
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It does not take advantage of the test runner and test suite functionality
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provided by Python's unitest framework. Its existence is because we want a
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different way of running the whole test suite. As lldb and the Python test
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suite become more reliable, we don't expect to be using 'dotest.pl' anymore.
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Note: dotest.pl has been moved to the attic directory.
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o Profiling dotest.py runs
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I used the following command line thingy to do the profiling on a SnowLeopard
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machine:
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$ DOTEST_PROFILE=YES DOTEST_SCRIPT_DIR=/Volumes/data/lldb/svn/trunk/test /System/Library/Frameworks/Python.framework/Versions/Current/lib/python2.6/cProfile.py -o my.profile ./dotest.py -v -w 2> ~/Developer/Log/lldbtest.log
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After that, I used the pstats.py module to browse the statistics:
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$ python /System/Library/Frameworks/Python.framework/Versions/Current/lib/python2.6/pstats.py my.profile
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o Writing test cases:
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We strongly prefer writing test cases using the SB API's rather than the runCmd & expect.
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Unless you are actually testing some feature of the command line, please don't write
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command based tests. For historical reasons there are plenty of examples of tests in the
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test suite that use runCmd where they shouldn't, but don't copy them, copy the plenty that
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do use the SB API's instead.
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The reason for this is that our policy is that we will maintain compatibility with the
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SB API's. But we don't make any similar guarantee about the details of command result format.
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If your test is using the command line, it is going to have to check against the command result
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text, and you either end up writing your check pattern by checking as little as possible so
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you won't be exposed to random changes in the text; in which case you can end up missing some
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failure, or you test too much and it means irrelevant changes break your tests.
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However, if you use the Python API's it is possible to check all the results you want
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to check in a very explicit way, which makes the tests much more robust.
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Even if you are testing that a command-line command does some specific thing, it is still
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better in general to use the SB API's to drive to the point where you want to run the test,
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then use SBInterpreter::HandleCommand to run the command. You get the full result text
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from the command in the command return object, and all the part where you are driving the
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debugger to the point you want to test will be more robust.
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The sample_test directory contains a standard and an "inline" test that are good starting
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points for writing a new test.
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o Attaching in test cases:
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If you need to attach to inferiors in your tests, you must make sure the inferior calls
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lldb_enable_attach(), before the debugger attempts to attach. This function performs any
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platform-specific processing needed to enable attaching to this process (e.g., on Linux, we
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execute prctl(PR_SET_TRACER) syscall to disable protections present in some Linux systems).
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