uproot-custom 1.1.1

uproot extension for reading custom classes

uproot-custom

This is a prototype repository of an extension that allows uproot to read custom classes from ROOT files.

uproot can already read some custom classes directly. However, in some cases, custom classes are too complex for uproot to read, such as when their Streamer methods are overridden or some specific data members are not supported by uproot.

This extension privides a Reader interface and allows you to read such custom classes by providing your own Reader. The Reader interface defines how to read the data members of a class from the binary stream.

Design overview

In ROOT, data are stored in a tree structure. For example, when a custom class is defined as:

class TMySubClass : public TObject {
    int m_index;
    float m_x;
};

class TMyClass : public TObject {
    double m_energy;
    std::vector<MySubClass> m_daughters;
};

The data tree is:

graph TD
    A([TMyClass]) --> B(double m_energy)
    A --> C(std::vector<TMySubClass> m_daughters)
    C --> D([TMySubClass])
    D --> E(int m_index)
    D --> F(float m_x)

To handle the tree-like data structure, Reader is introduced. It consists of Python and C++ parts. The Python part is responsible for generating the information tree, constructing C++ readers, and reconstructing data to awkward array. The C++ part is responsible for reading the data members of the class from the binary stream.

Generate information tree

uproot can read these structure information from the ROOT file, but not in tree format. So the first step is to generate an information tree from the ROOT file. The information tree is a nested structure that contains the data members of the class, including types, names and children if any.

Construct C++ readers

According to the information tree, we can instantiate C++ readers and combine them into a tree structure. The top reader drives its sub-readers to read data recursively. After the reading process, readers obtain the results from their sub-readers recursively, then the top reader returns the final result.

Reconstruct data to awkward array

Since embedding arrays together into awkward array in C++ is not straightforward, we left this task to Python. After the C++ reader returns the result, we can reconstruct the data into awkward array according to the information tree.

Predefined readers

uproot-custom provides some predefined readers for common ROOT classes:

Reader	Description
BasicTypeReader	Reads basic types like int, float, double, etc.
TObjectReader	Skip TObject header when reading classes that inherit from TObject.
TStringReader	Reads TString
STLSeqReader	Reads std::vector, std::array, etc.
STLMapReader	Reads std::map, std::unordered_map, etc.
STLStringReader	Reads std::string
TArrayReader	Reads TArray types like TArrayI, TArrayF, TArrayD, etc.
ObjectReader	Reads custom classes that inherit from TObject.
CArrayReader	Reads C-style arrays like int[]
EmptyReader	A reader that does nothing. Some branches may not have any data, and the information of the corresponding class will not be stored in the ROOT file. In this case, EmptyReader is used to skip the branch.

Implement your own Reader

Full example

A complete example of how to impolement your own readers is available in the example directory of this repository.

Pre-requisites

Make sure you have GCC>13.1/Clang>=16.0.0/MSVC>=19.31, cmake installed on your system.

1. Create a Python project and install uproot-custom:

   mkdir my_reader
   cd my_reader
   python3 -m venv .venv
   source .venv/bin/activate
   pip install uproot-custom
   

2. Create a pyproject.toml file in the root directory of your project:

   [build-system]
   requires = ["scikit-build-core>=0.11", "pybind11>=2.10.0", "uproot-custom"]
   build-backend = "scikit_build_core.build"
   
   [project]
   name = "my-reader"
   requires-python = ">=3.9"
   dependencies = ["uproot-custom"]
   version = "0.1.0"
   
   [tool.scikit-build]
   wheel.packages = ["my_reader"]
   build-dir = "build/{wheel_tag}"
   cmake.source-dir = "cpp"
   cmake.build-type = "Debug" # Comment for release builds
   
   [tool.black]
   exclude = "/(build|dist|env|.git|.tox|.eggs|.venv)/"
   line-length = 95
   target-version = ['py39', 'py310', 'py311', 'py312', 'py313']
   

   you can change the name, version, and other fields as you like.

Reader interface

For a custom Reader, a C++ part and a Python part are both required.

For C++ part, the constructor must inherit from IElementReader, and these methods must be implemented:

• void read(BinaryBuffer& buffer): Read data from the binary buffer.
• py::object data() const: Return the data as a Python object. You can return anything defined in pybind11, such as py::tuple, py::list, py::array_t, etc.

For Python part, the class must inherit from uproot_custom.BaseReader and implement the following class methods:

• gen_tree_config: Generate a configuration dictionary for the reader based on the information tree. It should return a dictionary if you want your reader to be used, otherwise return None.
• get_cpp_reader: Identify the tree configuration and return the C++ reader instance if it matches, otherwise return None.
• reconstruct_array: Reconstruct the raw data to an awkward array according to the tree configuration.

Implement the C++ reader

1. Create a cpp directory in the root directory of your project, and create a my_reader.cc file in it.

2. In my_reader.cc, include the necessary headers and implement your reader class. For example:

   #include "uproot-custom/uproot-custom.hh"
   using namespace uproot;
   
   class MyReader : public IElementReader {
       public:
           // Must at least receive a name
           MyReader( std::string name )
               : IElementReader(name), m_data( std::make_shared<std::vector<int>>() ) {}
   
           // Implement these methods
           void read( BinaryBuffer& buffer ) {
               // Read data from the buffer
               // Implement your reading logic here
           }
   
           py::object data() const {
               // Return the data as a Python object
               return make_array( m_data );
           }
   
       private:
           const std::string m_name;
           std::shared_ptr<std::vector<int>> m_data; // Example data member
   };
   

   then declare the C++ module in the same file:

   PYBIND11_MODULE( my_reader_cpp, m ) {
       register_reader<MyReader>(m, "MyReader");
   }
   

   if the constructor requires more parameters, register it with the constructor signature (except the name):

   // Constructor signature:
   MyReader( std::string name, bool param1, std::vector<IElementReader> sub_readers )
   
   // Register the reader with the constructor signature:
   PYBIND11_MODULE( my_reader_cpp, m ) {
       register_reader<MyReader, bool, std::vector<IElementReader>>(m, "MyReader");
   }
   

[!IMPORTANT] Use std::shared_ptr for data members in your reader class, as uproot-custom will manage the memory of the data members. This is important to avoid memory leaks and ensure proper cleanup.

3. Create a CMakeLists.txt file in cpp directory:

   cmake_minimum_required(VERSION 3.20)
   
   if(CMAKE_VERSION VERSION_GREATER_EQUAL 3.27)
       cmake_policy(SET CMP0148 NEW)
   endif()
   
   set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
   set(CMAKE_CXX_STANDARD 20)
   
   project(${SKBUILD_PROJECT_NAME}
       VERSION ${SKBUILD_PROJECT_VERSION}
       LANGUAGES CXX
   )
       
   set(PYBIND11_NEWPYTHON ON)
   find_package(pybind11 REQUIRED)
   find_package(uproot-custom REQUIRED)
   
   pybind11_add_module(my_reader_cpp
       my_reader.cc
       # Add other source files here if needed
   )
   
   target_link_libraries(my_reader_cpp PRIVATE uproot-custom)
   
   if(DEFINED SKBUILD_PROJECT_NAME)
       install(
           TARGETS my_reader_cpp
           LIBRARY DESTINATION ${SKBUILD_PROJECT_NAME}
       )
   endif()
   

Implement the Python reader

1. Create a my_reader directory in the root directory of your project, and create a __init__.py file in it.

2. In __init__.py, import the C++ module and implement your Python reader class:

   from . import my_reader_cpp as _cpp
   from uproot_custom import BaseReader
   
   
   class MyReader(BaseReader):
       @classmethod
       def gen_tree_config(
           cls,
           top_type_name: str,
           cls_streamer_info: dict,
           all_streamer_info: dict,
           item_path: str = "",
       ) -> dict | None:
           """
           Identify the node in the information tree,
           return the configuration dictionary if the node is matched,
           otherwise return None.
           """
   
       @classmethod
       def get_cpp_reader(cls, tree_config) -> _cpp.MyReader | None:
           """
           Identify the tree_config,
           if it is matched, return the C++ reader instance,
           otherwise return None.
           """
   
       @classmethod
       def reconstruct_array(cls, raw_data, tree_config):
           """
           Reconstruct the raw data to an `awkward` array according to the tree_config.
           """
   

   ![NOTE] The @classmethod is not necesarry, but when a regular member method is used, you should pass the instance of the class to registered_readers.

Register the reader

Register branch path

The default interpretation uproot_custom.AsCustom needs to know which branch to read with custom readers. You can export the branch path with:

import uproot
from uproot_custom import regularize_object_path

f = uproot.open("my_file.root")
branch = f["path/to/my_branch"]

print(regularize_object_path(branch.object_path))

This will print the regularized object path like /my_tree:my_branch. Then you can add it to the AsCustom.target_branches set:

from uproot_custom import AsCustom

AsCustom.target_branches.add("your-branch-path")

Register the reader

To let uproot_custom.AsCustom know your reader, you need to register it:

from uproot_custom import registered_readers
from my_reader import MyReader

registered_readers.add(MyReader)

Then you can use uproot to read the custom class as usual.

[!TIP] It is recommended to do the registration in your project __init__.py, so that you can use your custom reader as long as you import your project.