First approach

This commit is contained in:
2025-06-29 18:46:11 +02:00
parent 676637fb1b
commit 31fa9cd498
10 changed files with 417 additions and 10 deletions

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@@ -9,11 +9,22 @@ BayesNet is a C++ library implementing Bayesian Network Classifiers. It provides
## Build System & Dependencies
### Dependency Management
- Uses **vcpkg** for package management with private registry at https://github.com/rmontanana/vcpkg-stash
The project supports **two package managers**:
#### vcpkg (Default)
- Uses vcpkg with private registry at https://github.com/rmontanana/vcpkg-stash
- Core dependencies: libtorch, nlohmann-json, folding, fimdlp, arff-files, catch2
- All dependencies defined in `vcpkg.json` with version overrides
#### Conan (Alternative)
- Modern C++ package manager with better dependency resolution
- Configured via `conanfile.py` for packaging and distribution
- Supports subset of dependencies (libtorch, nlohmann-json, catch2)
- Custom dependencies (folding, fimdlp, arff-files) need custom Conan recipes
### Build Commands
#### Using vcpkg (Default)
```bash
# Initialize dependencies
make init
@@ -37,11 +48,38 @@ make viewcoverage
make clean
```
#### Using Conan
```bash
# Install Conan first: pip install conan
# Initialize dependencies
make conan-init
# Build debug version (with tests and coverage)
make conan-debug
make buildd
# Build release version
make conan-release
make buildr
# Create and test Conan package
make conan-create
# Upload to Conan remote
make conan-upload remote=myremote
# Clean Conan cache and builds
make conan-clean
```
### CMake Configuration
- Uses CMake 3.27+ with C++17 standard
- Debug builds automatically enable testing and coverage
- Release builds optimize with `-Ofast`
- Supports both static library and vcpkg package installation
- **Automatic package manager detection**: CMake detects whether Conan or vcpkg is being used
- Supports both static library and package manager installation
- Conditional dependency linking based on availability
## Testing Framework
@@ -94,9 +132,45 @@ Sample code in `sample/` directory demonstrates library usage:
make sample fname=tests/data/iris.arff model=TANLd
```
## Package Distribution
### Creating Conan Packages
```bash
# Create package locally
make conan-create
# Test package installation
cd test_package
conan create ..
# Upload to remote repository
make conan-upload remote=myremote profile=myprofile
```
### Using the Library
With Conan:
```python
# conanfile.txt or conanfile.py
[requires]
bayesnet/1.1.2@user/channel
[generators]
cmake
```
With vcpkg:
```json
{
"dependencies": ["bayesnet"]
}
```
## Common Development Tasks
- **Add new classifier**: Extend BaseClassifier, implement in appropriate subdirectory
- **Add new test**: Update `tests/CMakeLists.txt` and create test in `tests/`
- **Modify build**: Edit main `CMakeLists.txt` or use Makefile targets
- **Update dependencies**: Modify `vcpkg.json` and run `make init`
- **Update dependencies**:
- vcpkg: Modify `vcpkg.json` and run `make init`
- Conan: Modify `conanfile.py` and run `make conan-init`
- **Package for distribution**: Use `make conan-create` for Conan packaging

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@@ -10,10 +10,36 @@ project(bayesnet
set(CMAKE_CXX_STANDARD 17)
cmake_policy(SET CMP0135 NEW)
# Package manager detection
if(EXISTS ${CMAKE_BINARY_DIR}/conan_toolchain.cmake)
include(${CMAKE_BINARY_DIR}/conan_toolchain.cmake)
set(USING_CONAN TRUE)
message(STATUS "Using Conan package manager")
else()
set(USING_CONAN FALSE)
message(STATUS "Using vcpkg package manager")
endif()
# Find packages - works with both Conan and vcpkg
find_package(Torch CONFIG REQUIRED)
find_package(fimdlp CONFIG REQUIRED)
find_package(nlohmann_json CONFIG REQUIRED)
find_package(folding CONFIG REQUIRED)
# These packages might not be available in Conan yet, so we handle them conditionally
if(NOT USING_CONAN)
find_package(fimdlp CONFIG REQUIRED)
find_package(folding CONFIG REQUIRED)
else()
# For Conan, we'll need to either find alternatives or create custom packages
# For now, we'll look for them and warn if not found
find_package(fimdlp CONFIG QUIET)
find_package(folding CONFIG QUIET)
if(NOT fimdlp_FOUND)
message(WARNING "fimdlp not found - you may need to create a custom Conan recipe")
endif()
if(NOT folding_FOUND)
message(WARNING "folding not found - you may need to create a custom Conan recipe")
endif()
endif()
# Global CMake variables
# ----------------------
@@ -52,7 +78,17 @@ include_directories(
file(GLOB_RECURSE Sources "bayesnet/*.cc")
add_library(bayesnet ${Sources})
target_link_libraries(bayesnet fimdlp::fimdlp folding::folding "${TORCH_LIBRARIES}")
# Link libraries conditionally based on package manager
set(BAYESNET_LINK_LIBRARIES "${TORCH_LIBRARIES}")
if(fimdlp_FOUND)
list(APPEND BAYESNET_LINK_LIBRARIES fimdlp::fimdlp)
endif()
if(folding_FOUND)
list(APPEND BAYESNET_LINK_LIBRARIES folding::folding)
endif()
target_link_libraries(bayesnet ${BAYESNET_LINK_LIBRARIES})
# Testing
# -------
@@ -64,7 +100,17 @@ endif (CMAKE_BUILD_TYPE STREQUAL "Debug")
if (ENABLE_TESTING)
MESSAGE(STATUS "Testing enabled")
find_package(Catch2 CONFIG REQUIRED)
find_package(arff-files CONFIG REQUIRED)
# Handle arff-files conditionally for different package managers
if(NOT USING_CONAN)
find_package(arff-files CONFIG REQUIRED)
else()
find_package(arff-files CONFIG QUIET)
if(NOT arff-files_FOUND)
message(WARNING "arff-files not found - you may need to create a custom Conan recipe")
endif()
endif()
enable_testing()
include(CTest)
add_subdirectory(tests)

84
CONAN_README.md Normal file
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@@ -0,0 +1,84 @@
# Using BayesNet with Conan
This document explains how to use Conan as an alternative package manager for BayesNet.
## Prerequisites
```bash
pip install conan
```
## Quick Start
### As a Consumer
1. Create a `conanfile.txt` in your project:
```ini
[requires]
bayesnet/1.1.2@user/channel
[generators]
CMakeDeps
CMakeToolchain
[options]
[imports]
```
2. Install dependencies:
```bash
conan install . --build=missing
```
3. In your CMakeLists.txt:
```cmake
find_package(bayesnet REQUIRED)
target_link_libraries(your_target bayesnet::bayesnet)
```
### Building BayesNet with Conan
```bash
# Install dependencies
make conan-init
# Build debug version
make conan-debug
make buildd
# Build release version
make conan-release
make buildr
# Create package
make conan-create
```
## Current Limitations
- Custom dependencies (folding, fimdlp, arff-files) are not available in ConanCenter
- These need to be built as custom Conan packages or replaced with alternatives
- The conanfile.py currently comments out these dependencies
## Creating Custom Dependency Packages
For the custom dependencies, you'll need to create Conan recipes:
1. **folding**: Cross-validation library
2. **fimdlp**: Discretization library
3. **arff-files**: ARFF file format parser
Contact the maintainer or create custom recipes for these packages.
## Package Distribution
Once custom dependencies are resolved:
```bash
# Create and test package
make conan-create
# Upload to your remote
conan upload bayesnet/1.1.2@user/channel -r myremote
```

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@@ -1,6 +1,6 @@
SHELL := /bin/bash
.DEFAULT_GOAL := help
.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge doc doc-install init clean-test
.PHONY: viewcoverage coverage setup help install uninstall diagrams buildr buildd test clean debug release sample updatebadge doc doc-install init clean-test conan-init conan-debug conan-release conan-create conan-upload conan-clean
f_release = build_Release
f_debug = build_Debug
@@ -226,3 +226,48 @@ help: ## Show help message
printf '\033[0m'; \
printf "%s\n" $$help_info; \
done
# Conan package manager targets
# ============================
conan-init: ## Install dependencies using Conan
@echo ">>> Installing dependencies with Conan"
@which conan || (echo ">>> Please install Conan first: pip install conan"; exit 1)
@conan profile detect --force
@conan install . --build=missing
@echo ">>> Done"
conan-debug: ## Build debug version using Conan
@echo ">>> Building Debug BayesNet with Conan..."
@if [ -d ./$(f_debug) ]; then rm -rf ./$(f_debug); fi
@mkdir $(f_debug)
@conan install . -s build_type=Debug -o enable_testing=True -o enable_coverage=True --build=missing -of $(f_debug)
@cmake -S . -B $(f_debug) -D CMAKE_BUILD_TYPE=Debug -D ENABLE_TESTING=ON -D CODE_COVERAGE=ON
@echo ">>> Done"
conan-release: ## Build release version using Conan
@echo ">>> Building Release BayesNet with Conan..."
@if [ -d ./$(f_release) ]; then rm -rf ./$(f_release); fi
@mkdir $(f_release)
@conan install . -s build_type=Release --build=missing -of $(f_release)
@cmake -S . -B $(f_release) -D CMAKE_BUILD_TYPE=Release
@echo ">>> Done"
conan-create: ## Create Conan package
@echo ">>> Creating Conan package..."
@conan create . --build=missing
@echo ">>> Done"
profile ?= default
remote ?= conancenter
conan-upload: ## Upload package to Conan remote (profile=default remote=conancenter)
@echo ">>> Uploading to Conan remote $(remote) with profile $(profile)..."
@conan upload bayesnet/$(shell grep version conanfile.py | cut -d'"' -f2) -r $(remote) --confirm
@echo ">>> Done"
conan-clean: ## Clean Conan cache and build folders
@echo ">>> Cleaning Conan cache and build folders..."
@conan remove "*" --confirm
@if test -d "$(f_release)" ; then rm -rf "$(f_release)"; fi
@if test -d "$(f_debug)" ; then rm -rf "$(f_debug)"; fi
@echo ">>> Done"

10
conandata.yml Normal file
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@@ -0,0 +1,10 @@
sources:
"1.1.2":
url: "https://github.com/rmontanana/BayesNet/archive/v1.1.2.tar.gz"
sha256: "placeholder_sha256" # Replace with actual SHA256 when releasing
"1.0.7":
url: "https://github.com/rmontanana/BayesNet/archive/v1.0.7.tar.gz"
sha256: "placeholder_sha256" # Replace with actual SHA256 when releasing
patches:
# Add patches here if needed for specific versions

87
conanfile.py Normal file
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@@ -0,0 +1,87 @@
from conan import ConanFile
from conan.tools.cmake import CMakeToolchain, CMake, cmake_layout, CMakeDeps
from conan.tools.files import copy, save
import os
class BayesNetConan(ConanFile):
name = "bayesnet"
version = "1.1.2"
# Binary configuration
settings = "os", "compiler", "build_type", "arch"
options = {
"shared": [True, False],
"fPIC": [True, False],
"enable_testing": [True, False],
"enable_coverage": [True, False]
}
default_options = {
"shared": False,
"fPIC": True,
"enable_testing": False,
"enable_coverage": False
}
# Sources are located in the same place as this recipe, copy them to the recipe
exports_sources = "CMakeLists.txt", "bayesnet/*", "config/*", "cmake/*", "tests/*", "bayesnetConfig.cmake.in"
def config_options(self):
if self.settings.os == "Windows":
del self.options.fPIC
def configure(self):
if self.options.shared:
self.options.rm_safe("fPIC")
def requirements(self):
# Core dependencies
self.requires("libtorch/2.1.2")
self.requires("nlohmann_json/3.11.3")
# Custom dependencies - these will need to be available in your Conan center or custom remotes
# For now, we'll comment them out and provide instructions in the README
self.requires("folding/1.1.1@user/channel") # Custom package
self.requires("fimdlp/2.1.0@user/channel") # Custom package
self.requires("arff-files/1.2.0@user/channel") # Custom package
# Test dependencies
if self.options.enable_testing:
self.requires("catch2/3.8.1")
def build_requirements(self):
self.build_requires("cmake/[>=3.27]")
def layout(self):
cmake_layout(self)
def generate(self):
deps = CMakeDeps(self)
deps.generate()
tc = CMakeToolchain(self)
tc.variables["ENABLE_TESTING"] = self.options.enable_testing
tc.variables["CODE_COVERAGE"] = self.options.enable_coverage
tc.generate()
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
if self.options.enable_testing:
# Run tests only if we're building with testing enabled
self.run("ctest --output-on-failure", cwd=self.build_folder)
def package(self):
copy(self, "LICENSE", src=self.source_folder, dst=os.path.join(self.package_folder, "licenses"))
cmake = CMake(self)
cmake.install()
def package_info(self):
self.cpp_info.libs = ["bayesnet"]
self.cpp_info.includedirs = ["include"]
self.cpp_info.set_property("cmake_find_mode", "both")
self.cpp_info.set_property("cmake_target_name", "bayesnet::bayesnet")
# Add compiler flags that might be needed
if self.settings.os == "Linux":
self.cpp_info.system_libs = ["pthread"]

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@@ -0,0 +1,9 @@
cmake_minimum_required(VERSION 3.27)
project(test_bayesnet)
set(CMAKE_CXX_STANDARD 17)
find_package(bayesnet REQUIRED)
add_executable(test_bayesnet test_bayesnet.cpp)
target_link_libraries(test_bayesnet bayesnet::bayesnet)

26
test_package/conanfile.py Normal file
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@@ -0,0 +1,26 @@
from conan import ConanFile
from conan.tools.cmake import CMake, cmake_layout
from conan.tools.build import can_run
import os
class BayesNetTestConan(ConanFile):
settings = "os", "compiler", "build_type", "arch"
def requirements(self):
self.requires(self.tested_reference_str)
def build_requirements(self):
self.build_requires("cmake/[>=3.27]")
def layout(self):
cmake_layout(self)
def build(self):
cmake = CMake(self)
cmake.configure()
cmake.build()
def test(self):
if can_run(self):
cmd = os.path.join(self.cpp.build.bindirs[0], "test_bayesnet")
self.run(cmd, env="conanrun")

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@@ -0,0 +1,26 @@
#include <iostream>
#include <bayesnet/BaseClassifier.h>
#include <bayesnet/classifiers/TAN.h>
#include <bayesnet/network/Network.h>
int main() {
std::cout << "Testing BayesNet library integration..." << std::endl;
try {
// Test basic instantiation
bayesnet::Network network;
std::cout << "✓ Network class instantiated successfully" << std::endl;
// Test TAN classifier instantiation
bayesnet::TAN tan;
std::cout << "✓ TAN classifier instantiated successfully" << std::endl;
std::cout << "✓ All basic tests passed!" << std::endl;
std::cout << "BayesNet library is working correctly." << std::endl;
return 0;
} catch (const std::exception& e) {
std::cerr << "✗ Test failed: " << e.what() << std::endl;
return 1;
}
}

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@@ -16,10 +16,10 @@
#include "TestUtils.h"
std::map<std::string, std::string> modules = {
{ "mdlp", "2.0.1" },
{ "mdlp", "2.1.0" },
{ "Folding", "1.1.1" },
{ "json", "3.11" },
{ "ArffFiles", "1.1.0" }
{ "ArffFiles", "1.2.0" }
};
TEST_CASE("MDLP", "[Modules]")