# Using BayesNet with Conan

This document explains how to use Conan as an alternative package manager for BayesNet.

## Prerequisites

```bash
pip install conan
conan remote add Cimmeria https://conan.rmontanana.es/artifactory/api/conan/Cimmeria
conan profile new default --detect
```

## Quick Start

### As a Consumer

1. Create a `conanfile.txt` in your project:

    ```ini
    [requires]
    libtorch/2.7.0
    bayesnet/1.2.0

    [generators]
    CMakeDeps
    CMakeToolchain
    ```

1. Install dependencies:

    ```bash
    conan install . --build=missing
    ```

1. 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 debug
make buildd

# Build release version
make 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
1. **fimdlp**: Discretization library
1. **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/1.2.0 -r myremote
```