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HTTP payload support in PyTensorOvTensorConverterCalculator #4210

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bace6da
Python payload update
rasapala May 14, 2026
ebe4cc2
style: apply clang-format
rasapala May 14, 2026
9f019e3
Potential fix for pull request finding
rasapala May 15, 2026
a731439
Code review
rasapala May 15, 2026
c9fb9ca
style: apply clang-format
rasapala May 15, 2026
697e16f
Merge branch 'CVS-184729_python_payload' of https://github.com/openvi…
rasapala May 15, 2026
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3 changes: 3 additions & 0 deletions src/python/BUILD
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Original file line number Diff line number Diff line change
Expand Up @@ -86,7 +86,10 @@ ovms_cc_library(
deps = PYBIND_DEPS + [
"//third_party:openvino",
"@mediapipe//mediapipe/framework:calculator_framework",
"@com_github_tencent_rapidjson//:rapidjson",
"//src:libovmsprecision",
"//src:httppayload",
"//src:libmultipart_parser",
"ovmspytensor",
"pytensorovtensorconvertercalculator_cc_proto",
"pythonbackend",
Expand Down
96 changes: 90 additions & 6 deletions src/python/pytensor_ovtensor_converter_calculator.cc
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Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,9 @@
// See the License for the specific language governing permissions and
// limitations under the License.
//*****************************************************************************
#include <set>
#include <string>
#include <string_view>
#include <unordered_map>

#include <openvino/openvino.hpp>
Expand All @@ -31,6 +33,15 @@
#include <pybind11/stl.h>
#pragma warning(pop)

#pragma warning(push)
#pragma warning(disable : 6313)
#include <rapidjson/document.h>
#include <rapidjson/stringbuffer.h>
#include <rapidjson/writer.h>
#pragma warning(pop)

#include "../http_payload.hpp"
#include "../multi_part_parser.hpp"
#include "../precision.hpp"
#include "python_backend.hpp"
#include "src/python/ovms_py_tensor.hpp"
Expand Down Expand Up @@ -95,24 +106,44 @@ class PyTensorOvTensorConverterCalculator : public CalculatorBase {
mediapipe::Timestamp outputTimestamp;
static const std::string OV_TENSOR_TAG_NAME;
static const std::string OVMS_PY_TENSOR_TAG_NAME;
static const std::string HTTP_REQUEST_TAG_NAME;
static const std::string HTTP_RESPONSE_TAG_NAME;

public:
static absl::Status GetContract(CalculatorContract* cc) {
LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->GetNodeName() << "] GetContract start";
RET_CHECK(cc->Inputs().GetTags().size() == 1);
RET_CHECK(cc->Outputs().GetTags().size() == 1);
RET_CHECK((*(cc->Inputs().GetTags().begin()) == OV_TENSOR_TAG_NAME && *(cc->Outputs().GetTags().begin()) == OVMS_PY_TENSOR_TAG_NAME) || (*(cc->Inputs().GetTags().begin()) == OVMS_PY_TENSOR_TAG_NAME && *(cc->Outputs().GetTags().begin()) == OV_TENSOR_TAG_NAME));
if (*(cc->Inputs().GetTags().begin()) == OV_TENSOR_TAG_NAME) {
const std::string inputTag = *(cc->Inputs().GetTags().begin());
const std::string outputTag = *(cc->Outputs().GetTags().begin());
const bool ovToPy = (inputTag == OV_TENSOR_TAG_NAME && outputTag == OVMS_PY_TENSOR_TAG_NAME);
const bool pyToOv = (inputTag == OVMS_PY_TENSOR_TAG_NAME && outputTag == OV_TENSOR_TAG_NAME);
const bool httpToPy = (inputTag == HTTP_REQUEST_TAG_NAME && outputTag == OVMS_PY_TENSOR_TAG_NAME);
const bool pyToHttp = (inputTag == OVMS_PY_TENSOR_TAG_NAME && outputTag == HTTP_RESPONSE_TAG_NAME);
RET_CHECK(ovToPy || pyToOv || httpToPy || pyToHttp)
<< "PyTensorOvTensorConverterCalculator supports only the following input/output tag pairings: "
<< OV_TENSOR_TAG_NAME << "->" << OVMS_PY_TENSOR_TAG_NAME << ", "
<< OVMS_PY_TENSOR_TAG_NAME << "->" << OV_TENSOR_TAG_NAME << ", "
<< HTTP_REQUEST_TAG_NAME << "->" << OVMS_PY_TENSOR_TAG_NAME << ", "
<< OVMS_PY_TENSOR_TAG_NAME << "->" << HTTP_RESPONSE_TAG_NAME
<< ". Received: " << inputTag << "->" << outputTag;
if (ovToPy) {
RET_CHECK(cc->Options<PyTensorOvTensorConverterCalculatorOptions>().tag_to_output_tensor_names().count(OVMS_PY_TENSOR_TAG_NAME) > 0);
if (cc->Options<PyTensorOvTensorConverterCalculatorOptions>().tag_to_output_tensor_names().count(OVMS_PY_TENSOR_TAG_NAME) > 1)
LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->GetNodeName() << "] tag_to_output_tensor_names map contains some keys that will be ignored";
cc->Inputs().Tag(OV_TENSOR_TAG_NAME).Set<ov::Tensor>();
cc->Outputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Set<PyObjectWrapper<py::object>>();
} else {
} else if (pyToOv) {
if (cc->Options<PyTensorOvTensorConverterCalculatorOptions>().tag_to_output_tensor_names().count(OVMS_PY_TENSOR_TAG_NAME) > 0)
LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->GetNodeName() << "] tag_to_output_tensor_names map contains some keys that will be ignored";
cc->Inputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Set<PyObjectWrapper<py::object>>();
cc->Outputs().Tag(OV_TENSOR_TAG_NAME).Set<ov::Tensor>();
} else if (httpToPy) {
cc->Inputs().Tag(HTTP_REQUEST_TAG_NAME).Set<ovms::HttpPayload>();
cc->Outputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Set<PyObjectWrapper<py::object>>();
} else { // pyToHttp
cc->Inputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Set<PyObjectWrapper<py::object>>();
cc->Outputs().Tag(HTTP_RESPONSE_TAG_NAME).Set<std::string>();
}

LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->GetNodeName() << "] GetContract end";
Expand All @@ -135,16 +166,65 @@ class PyTensorOvTensorConverterCalculator : public CalculatorBase {
LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->NodeName() << "] Process start";
py::gil_scoped_acquire acquire;
try {
PythonBackend pythonBackend;

for (const std::string& tag : cc->Inputs().GetTags()) {
if (cc->Inputs().Tag(tag).IsEmpty()) {
LOG(INFO) << "PyTensorOvTensorConverterCalculator [Node: " << cc->NodeName() << "] Error occurred during reading inputs. Unexpected empty packet received on input: " << tag;
RET_CHECK(false);
}
}

if (*(cc->Inputs().GetTags().begin()) == OV_TENSOR_TAG_NAME) {
const std::string inputTag = *(cc->Inputs().GetTags().begin());
const std::string outputTag = *(cc->Outputs().GetTags().begin());

if (inputTag == HTTP_REQUEST_TAG_NAME) {
const ovms::HttpPayload& payload = cc->Inputs().Tag(HTTP_REQUEST_TAG_NAME).Get<ovms::HttpPayload>();
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py::object pyPayload;
if (payload.multipartParser && !payload.multipartParser->hasParseError() && !payload.multipartParser->getAllFieldNames().empty()) {
py::module_ numpy = py::module_::import("numpy");
py::object uint8 = numpy.attr("uint8");
py::dict result;
const std::set<std::string> fieldNames = payload.multipartParser->getAllFieldNames();
for (const std::string& fieldName : fieldNames) {
const std::vector<std::string_view> files = payload.multipartParser->getFilesArrayByFieldName(fieldName);
if (!files.empty()) {
const std::string_view fileContent = files.front();
py::bytes raw(fileContent.data(), fileContent.size());
result[py::str(fieldName)] = numpy.attr("frombuffer")(raw, "dtype"_a = uint8);
} else {
result[py::str(fieldName)] = py::str(payload.multipartParser->getFieldByName(fieldName));
}
}
pyPayload = std::move(result);
} else if (payload.parsedJson && !payload.parsedJson->HasParseError()) {
rapidjson::StringBuffer buffer;
rapidjson::Writer<rapidjson::StringBuffer> writer(buffer);
payload.parsedJson->Accept(writer);
py::module_ jsonModule = py::module_::import("json");
pyPayload = jsonModule.attr("loads")(py::str(buffer.GetString(), buffer.GetSize()));
} else {
py::module_ jsonModule = py::module_::import("json");
try {
pyPayload = jsonModule.attr("loads")(py::str(payload.body));
} catch (const pybind11::error_already_set&) {
pyPayload = py::str(payload.body);
}
Comment on lines +205 to +210
}
std::unique_ptr<PyObjectWrapper<py::object>> outputPtr = std::make_unique<PyObjectWrapper<py::object>>(pyPayload);
cc->Outputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Add(outputPtr.release(), cc->InputTimestamp());
} else if (outputTag == HTTP_RESPONSE_TAG_NAME) {
const py::object& pyInput = cc->Inputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Get<PyObjectWrapper<py::object>>().getObject();
std::unique_ptr<std::string> response;
if (py::isinstance<py::str>(pyInput)) {
response = std::make_unique<std::string>(pyInput.cast<std::string>());
} else if (py::isinstance<py::bytes>(pyInput)) {
response = std::make_unique<std::string>(pyInput.cast<std::string>());
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} else {
py::module_ jsonModule = py::module_::import("json");
py::object dumped = jsonModule.attr("dumps")(pyInput);
response = std::make_unique<std::string>(dumped.cast<std::string>());
}
cc->Outputs().Tag(HTTP_RESPONSE_TAG_NAME).Add(response.release(), cc->InputTimestamp());
} else if (inputTag == OV_TENSOR_TAG_NAME) {
auto& inputTensor = cc->Inputs().Tag(OV_TENSOR_TAG_NAME).Get<ov::Tensor>();

std::unique_ptr<PyObjectWrapper<py::object>> outputPyTensor;
Expand All @@ -168,6 +248,7 @@ class PyTensorOvTensorConverterCalculator : public CalculatorBase {
<< "Undefined precision in input tensor: " << inputTensor.get_element_type();
}

PythonBackend pythonBackend;
pythonBackend.createOvmsPyTensor(
outputName,
const_cast<void*>((const void*)inputTensor.data()),
Expand All @@ -180,6 +261,7 @@ class PyTensorOvTensorConverterCalculator : public CalculatorBase {
} else {
if (*(cc->Inputs().GetTags().begin()) == OVMS_PY_TENSOR_TAG_NAME) {
auto& inputTensor = cc->Inputs().Tag(OVMS_PY_TENSOR_TAG_NAME).Get<PyObjectWrapper<py::object>>();
PythonBackend pythonBackend;
pythonBackend.validateOvmsPyTensor(inputTensor.getObject());
const auto precision = ovmsPrecisionToIE2Precision(fromKfsString(inputTensor.getProperty<std::string>("datatype")));
if (precision == ov::element::Type_t::dynamic) {
Expand Down Expand Up @@ -223,6 +305,8 @@ class PyTensorOvTensorConverterCalculator : public CalculatorBase {

const std::string PyTensorOvTensorConverterCalculator::OV_TENSOR_TAG_NAME{"OVTENSOR"};
const std::string PyTensorOvTensorConverterCalculator::OVMS_PY_TENSOR_TAG_NAME{"OVMS_PY_TENSOR"};
const std::string PyTensorOvTensorConverterCalculator::HTTP_REQUEST_TAG_NAME{"HTTP_REQUEST_PAYLOAD"};
const std::string PyTensorOvTensorConverterCalculator::HTTP_RESPONSE_TAG_NAME{"HTTP_RESPONSE_PAYLOAD"};

REGISTER_CALCULATOR(PyTensorOvTensorConverterCalculator);
} // namespace mediapipe
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