// // Copyright 2016 Pixar // // Licensed under the Apache License, Version 2.0 (the "Apache License") // with the following modification; you may not use this file except in // compliance with the Apache License and the following modification to it: // Section 6. Trademarks. is deleted and replaced with: // // 6. Trademarks. This License does not grant permission to use the trade // names, trademarks, service marks, or product names of the Licensor // and its affiliates, except as required to comply with Section 4(c) of // the License and to reproduce the content of the NOTICE file. // // You may obtain a copy of the Apache License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the Apache License with the above modification is // distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY // KIND, either express or implied. See the Apache License for the specific // language governing permissions and limitations under the Apache License. // #ifndef PXR_BASE_TF_PY_CALL_H #define PXR_BASE_TF_PY_CALL_H /// \file tf/pyCall.h /// Utilities for calling python callables. /// /// These functions handle trapping python errors and converting them to \a /// TfErrors. #include "pxr/pxr.h" #include "pxr/base/tf/pyError.h" #include "pxr/base/tf/pyLock.h" #include "pxr/base/tf/pyObjWrapper.h" #include PXR_NAMESPACE_OPEN_SCOPE /// \class TfPyCall /// /// Provide a way to call a Python callable. /// /// Usage is as follows: /// \code /// return TfPyCall(callable)(arg1, arg2, ... argN); /// \endcode /// Generally speaking, TfPyCall instances may be copied, assigned, destroyed, /// and invoked without the client holding the GIL. However, if the \a Return /// template parameter is a \a boost::python::object (or a derived class, such /// as list or tuple) then the client must hold the GIL in order to invoke the /// call operator. template struct TfPyCall { /// Construct with callable \a c. Constructing with a \c /// boost::python::object works, since those implicitly convert to \c /// TfPyObjWrapper, however in that case the GIL must be held by the caller. explicit TfPyCall(TfPyObjWrapper const &c) : _callable(c) {} template Return operator()(Args... args); private: TfPyObjWrapper _callable; }; template template inline Return TfPyCall::operator()(Args... args) { TfPyLock pyLock; // Do *not* call through if there's an active python exception. if (!PyErr_Occurred()) { try { return boost::python::call (_callable.ptr(), args...); } catch (boost::python::error_already_set const &) { // Convert any exception to TF_ERRORs. TfPyConvertPythonExceptionToTfErrors(); PyErr_Clear(); } } return Return(); } PXR_NAMESPACE_CLOSE_SCOPE #endif