ruby/misc/lldb_rb/rb_base_command.py

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[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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import lldb
from pydoc import locate
from lldb_rb.constants import *
from lldb_rb.utils import *
[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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class RbBaseCommand(LLDBInterface):
[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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@classmethod
def register_lldb_command(cls, debugger, module_name):
# Add any commands contained in this module to LLDB
command = f"command script add -c {module_name}.{cls.__name__} {cls.program}"
debugger.HandleCommand(command)
@classmethod
def lldb_init(cls, debugger):
target = debugger.GetSelectedTarget()
global SIZEOF_VALUE
SIZEOF_VALUE = target.FindFirstType("VALUE").GetByteSize()
value_types = []
g = globals()
imemo_types = target.FindFirstType("enum imemo_type")
#for member in imemo_types.GetEnumMembers():
# g[member.GetName()] = member.GetValueAsUnsigned()
for enum in target.FindFirstGlobalVariable("ruby_dummy_gdb_enums"):
enum = enum.GetType()
members = enum.GetEnumMembers()
for i in range(0, members.GetSize()):
member = members.GetTypeEnumMemberAtIndex(i)
name = member.GetName()
value = member.GetValueAsUnsigned()
g[name] = value
if name.startswith("RUBY_T_"):
value_types.append(name)
g["value_types"] = value_types
return g
[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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def __init__(self, debugger, _internal_dict):
self.ruby_globals = RbBaseCommand.lldb_init(debugger)
[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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self.internal_dict = _internal_dict
def __call__(self, debugger, command, exe_ctx, result):
self.ruby_globals = RbBaseCommand.lldb_init(debugger)
[ci-skip][Feature #18910][lldb] Provide class framework for lldb commands `lldb_cruby.py` manages lldb custom commands using functions. The file is a large list of Python functions, and an init handler to map some of the Python functions into the debugger, to enable execution of custom logic during a debugging session. Since LLDB 3.7 (September 2015) there has also been support for using python classes rather than bare functions, as long as those classes implement a specific interface. This PR Introduces some more defined structure to the LLDB helper functions by switching from the function based implementation to the class based one, and providing an auto-loading mechanism by which new functions can be loaded. The intention behind this change is to make working with the LLDB helpers easier, by reducing code duplication, providing a consistent structure and a clearer API for developers. The current function based approach has some advantages and disadvantages Advantages: - Adding new code is easy. - All the code is self contained and searchable. Disadvantages: - No visible organisation of the file contents. This means - Hard to tell which functions are utility functions and which are available to you in a debugging session - Lots of code duplication within lldb functions - Large files quickly become intimidating to work with - for example, `lldb_disasm.py` was implemented as a seperate Python module because it was easier to start with a clean slate than add significant amounts of code to `lldb_cruby.py` This PR attempts, to fix the disadvantages of the current approach and maintain, or enhance, the benefits. The new structure of a command looks like this; ``` class TestCommand(RbBaseCommand): # program is the keyword the user will type in lldb to execute this command program = "test" # help_string will be displayed in lldb when the user uses the help functions help_string = "This is a test command to show how to implement lldb commands" # call is where our command logic will be implemented def call(self, debugger, command, exe_ctx, result): pass ``` If the command fulfils the following criteria it will then be auto-loaded when an lldb session is started: - The package file must exist inside the `commands` directory and the filename must end in `_command.py` - The package must implement a class whose name ends in `Command` - The class inherits from `RbBaseCommand` or at minimum a class that shares the same interface as `RbBaseCommand` (at minimum this means defining `__init__` and `__call__`, and using `__call__` to call `call` which is defined in the subclasses). - The class must have a class variable `package` that is a String. This is the name of the command you'll call in the `lldb` debugger.
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self.build_environment(debugger)
self.call(debugger, command, exe_ctx, result)
def call(self, debugger, command, exe_ctx, result):
raise NotImplementedError("subclasses must implement call")
def get_short_help(self):
return self.__class__.help_string
def get_long_help(self):
return self.__class__.help_string