[lldb/Plugins] Improve error reporting with reading memory in Scripted Process

This patch improves the ScriptedPythonInterface::Dispatch method to
support passing lldb_private types to the python implementation.

This will allow, for instance, the Scripted Process python implementation
to report errors when reading memory back to lldb.

To do so, the Dispatch method will transform the private types in the
parameter pack into `PythonObject`s to be able to pass them down to the
python methods.

Then, if the call succeeded, the transformed arguments will be converted
back to their original type and re-assigned in the parameter pack, to
ensure pointers and references behaviours are preserved.

This patch also updates various scripted process python class and tests
to reflect this change.

rdar://100030995

Differential Revision: https://reviews.llvm.org/D134033

Signed-off-by: Med Ismail Bennani <medismail.bennani@gmail.com>
This commit is contained in:
Med Ismail Bennani committed 2022-11-18 13:56:48 -08:00
1 parent 288843a161
commit 7e01924e4e
14 files changed
+213 -77

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@@ -9,10 +9,14 @@
#ifndef LLDB_PLUGINS_SCRIPTINTERPRETER_PYTHON_SCRIPTEDPYTHONINTERFACE_H
#define LLDB_PLUGINS_SCRIPTINTERPRETER_PYTHON_SCRIPTEDPYTHONINTERFACE_H
#include "lldb/Host/Config.h"
#if LLDB_ENABLE_PYTHON
#include <sstream>
#include <tuple>
#include <type_traits>
#include <utility>
#include "lldb/Host/Config.h"
#include "lldb/Interpreter/ScriptedInterface.h"
#include "lldb/Utility/DataBufferHeap.h"
@@ -34,7 +38,7 @@ protected:
}
template <typename T = StructuredData::ObjectSP, typename... Args>
T Dispatch(llvm::StringRef method_name, Status &error, Args... args) {
T Dispatch(llvm::StringRef method_name, Status &error, Args &&...args) {
using namespace python;
using Locker = ScriptInterpreterPythonImpl::Locker;
@@ -56,60 +60,117 @@ protected:
return ErrorWithMessage<T>(caller_signature,
"Python implementor not allocated.", error);
PythonObject pmeth(
PyRefType::Owned,
PyObject_GetAttrString(implementor.get(), method_name.str().c_str()));
std::tuple<Args...> original_args = std::forward_as_tuple(args...);
auto transformed_args = TransformArgs(original_args);
if (PyErr_Occurred())
PyErr_Clear();
llvm::Expected<PythonObject> expected_return_object =
llvm::make_error<llvm::StringError>("Not initialized.",
llvm::inconvertibleErrorCode());
std::apply(
[&implementor, &method_name, &expected_return_object](auto &&...args) {
llvm::consumeError(expected_return_object.takeError());
expected_return_object =
implementor.CallMethod(method_name.data(), args...);
},
transformed_args);
if (!pmeth.IsAllocated())
return ErrorWithMessage<T>(caller_signature,
"Python method not allocated.", error);
if (PyCallable_Check(pmeth.get()) == 0) {
if (PyErr_Occurred())
PyErr_Clear();
return ErrorWithMessage<T>(caller_signature,
"Python method not callable.", error);
}
if (PyErr_Occurred())
PyErr_Clear();
// TODO: make `const char *` when removing support for Python 2.
char *format = nullptr;
std::string format_buffer;
if (sizeof...(Args) > 0) {
FormatArgs(format_buffer, args...);
// TODO: make `const char *` when removing support for Python 2.
format = const_cast<char *>(format_buffer.c_str());
}
// TODO: make `const char *` when removing support for Python 2.
PythonObject py_return(
PyRefType::Owned,
PyObject_CallMethod(implementor.get(),
const_cast<char *>(method_name.data()), format,
args...));
if (PyErr_Occurred()) {
PyErr_Print();
PyErr_Clear();
if (llvm::Error e = expected_return_object.takeError()) {
error.SetErrorString(llvm::toString(std::move(e)).c_str());
return ErrorWithMessage<T>(caller_signature,
"Python method could not be called.", error);
}
PythonObject py_return = std::move(expected_return_object.get());
if (!py_return.IsAllocated())
return ErrorWithMessage<T>(caller_signature, "Returned object is null.",
error);
// Now that we called the python method with the transformed arguments,
// we need to interate again over both the original and transformed
// parameter pack, and transform back the parameter that were passed in
// the original parameter pack as references or pointers.
if (sizeof...(Args) > 0)
if (!ReassignPtrsOrRefsArgs(original_args, transformed_args))
return ErrorWithMessage<T>(
caller_signature,
"Couldn't re-assign reference and pointer arguments.", error);
return ExtractValueFromPythonObject<T>(py_return, error);
}
Status GetStatusFromMethod(llvm::StringRef method_name);
template <typename T> struct transformation { using type = T; };
template <typename T, typename U> struct reverse_transformation {
static void Apply(ScriptedPythonInterface &obj, T &original_arg,
U transformed_arg, Status &error) {
// If U is not a PythonObject, don't touch it!
return;
}
};
template <> struct transformation<Status> {
using type = python::PythonObject;
};
template <typename T> struct reverse_transformation<T, python::PythonObject> {
static void Apply(ScriptedPythonInterface &obj, T &original_arg,
python::PythonObject transformed_arg, Status &error) {
original_arg =
obj.ExtractValueFromPythonObject<T>(transformed_arg, error);
}
};
template <typename T> typename transformation<T>::type Transform(T object) {
// No Transformation for generic usage
return {object};
}
template <> typename transformation<Status>::type Transform(Status arg) {
// Call SWIG Wrapper function
return python::ToSWIGWrapper(arg);
}
template <std::size_t... I, typename... Args>
auto TransformTuple(const std::tuple<Args...> &args,
std::index_sequence<I...>) {
return std::make_tuple(Transform(std::get<I>(args))...);
}
// This will iterate over the Dispatch parameter pack and replace in-place
// every `lldb_private` argument that has a SB counterpart.
template <typename... Args>
auto TransformArgs(const std::tuple<Args...> &args) {
return TransformTuple(args, std::make_index_sequence<sizeof...(Args)>());
}
template <typename T, typename U>
void TransformBack(T &original_arg, U transformed_arg, Status &error) {
reverse_transformation<T, U>::Apply(*this, original_arg, transformed_arg,
error);
}
template <std::size_t... I, typename... Ts, typename... Us>
bool ReassignPtrsOrRefsArgs(std::tuple<Ts...> &original_args,
std::tuple<Us...> &transformed_args,
std::index_sequence<I...>) {
Status error;
(TransformBack(std::get<I>(original_args), std::get<I>(transformed_args),
error),
...);
return error.Success();
}
template <typename... Ts, typename... Us>
bool ReassignPtrsOrRefsArgs(std::tuple<Ts...> &original_args,
std::tuple<Us...> &transformed_args) {
if (sizeof...(Ts) != sizeof...(Us))
return false;
return ReassignPtrsOrRefsArgs(original_args, transformed_args,
std::make_index_sequence<sizeof...(Ts)>());
}
template <typename T, typename... Args>
void FormatArgs(std::string &fmt, T arg, Args... args) const {
FormatArgs(fmt, arg);
@@ -117,7 +178,7 @@ protected:
}
template <typename T> void FormatArgs(std::string &fmt, T arg) const {
fmt += GetPythonValueFormatString(arg);
fmt += python::PythonFormat<T>::format;
}
void FormatArgs(std::string &fmt) const {}