osu-tools-py 0.1.5

A Python wrapper for osu! tools using pythonnet

osu-tools-py

中文说明

A high-performance Python wrapper for ppy/osu-tools, powered by pythonnet.

This library allows you to calculate Performance Points (PP), Star Ratings (SR), and other difficulty attributes for osu! beatmaps directly from Python. It embeds the official C# DLLs (compiled from osu!lazer), ensuring results are identical to the official game algorithms.

Features:

• 🚀 Accurate: Uses the actual C# code from osu!lazer for calculations.
• 📦 Batteries Included: Comes with pre-compiled DLLs (no need to compile C# yourself).
• 🖥️ Cross-Platform: Supports Windows, Linux, and macOS (Intel & Apple Silicon/M1/M2).
• 🧩 Type Safe: Fully typed Python API with data classes.

📋 Prerequisites

Before installing the Python package, you must have the .NET 8 Runtime installed on your system.

• Download .NET 8.0 Runtime
• Note: You only need the "Run console apps" version (Runtime); the SDK is not required for usage.

📦 Installation

pip install osu-tools-py

🚀 Quick Start

1. Calculate osu!stable PP

To get PP values that match the official osu! website (osu!stable), you must follow two rules:

1. Add the "CL" (Classic) mod to your mod list.
2. Provide a legacy_total_score (any value > 0).

from osu_tools import OsuCalculator

# Initialize (loads .NET runtime)
calc = OsuCalculator()

# Example: Calculate Max PP for HDDT on Standard Mode
result = calc.calculate(
    file_path="beatmaps/12345.osu",
    mode=0,
    # Rule 1: Always include "CL" for Stable calculations
    mods=["HD", "DT", "CL"], 
    acc=100.0,
    # Rule 2: Provide a legacy score > 0 to enable Stable physics/scoring
    legacy_total_score=1000000 
)

if result.is_success:
    print(f"Stars: {result.stars:.2f}")
    print(f"PP:    {result.pp:.2f}")
    print(f"Aim:   {result.pp_aim:.2f}")
    print(f"Speed: {result.pp_speed:.2f}")
else:
    print(f"Error: {result.error}")

2. Calculate Real Score (from Replay/API)

When calculating a specific score for osu!stable, pass the hit statistics and ensure you include the Stable compatibility flags.

# Real stats from a score
stats = {
    'great': 450,
    'ok': 12,
    'meh': 1,
    'miss': 2
}

result = calc.calculate(
    file_path="beatmaps/12345.osu",
    mode=0,
    mods=["HD", "CL"], # Don't forget CL!
    combo=850,
    statistics=stats,
    legacy_total_score=1000000 # Required for Stable logic
)

print(f"Real PP: {result.pp:.2f}")
print(f"Real PPAcc: {result.pp_acc:.2f}") # PP from Accuracy

Batch Calculation

When calculating multiple scores for the same beatmap/mode/mods, use calculate_many() to reuse beatmap decoding and difficulty calculation:

results = calc.calculate_many([
    {"file_path": "beatmaps/12345.osu", "mode": 0, "mods": ["HD", "CL"], "acc": 100.0},
    {"file_path": "beatmaps/12345.osu", "mode": 0, "mods": ["HD", "CL"], "acc": 98.5, "misses": 1},
])

Lazer Calculation Example

If you want to calculate PP for the Lazer scoring system (where slider tails affect accuracy):

# Lazer calculation example
lazer_stats = {
    'great': 450,
    'ok': 10,
    'miss': 5,
    'slider_tail_hit': 200, # Lazer specific stat
    'large_tick_hit': 50    # Lazer specific stat
}

result = calc.calculate(
    file_path="beatmaps/12345.osu",
    mode=0,
    mods=[], 
    combo=800,
    statistics=lazer_stats,
)

Supported Inputs

• Mods: Supports list of strings ["HD", "DT"], list of dicts [{"acronym": "HD"}], or objects.
• Modes:
  • 0: osu! (Standard)
  • 1: osu!taiko
  • 2: osu!catch
  • 3: osu!mania

Return Data

The function returns a CalculationResult object:

@dataclass
class CalculationResult:
    mode: int
    stars: float
    pp: float
    pp_aim: float
    pp_speed: float
    pp_acc: float
    pp_flashlight: float
    max_combo: int
    error: Optional[str]
    # ...

🛠️ Building from Source

If you want to modify the C# logic or build the wheels yourself:

1. Requirements:

   • Python 3.10+
   • .NET 8.0 SDK
   • uv (Python package manager)

2. Clone:

   git clone --recursive https://github.com/yaowan233/osu-tools-py.git
   cd osu-tools-py
   

3. Build: The project uses GitHub Actions for matrix builds (Windows/Linux/macOS), but you can build locally:

   # 1. Compile C# DLLs
   cd osu-tools/PerformanceCalculator
   dotnet publish -c Release -o ../../src/osu_tools/lib
   
   # 2. Build Python Wheel
   cd ../..
   uv build
   

⚠️ Troubleshooting

1. RuntimeError: Failed to create a default .NET runtime:

   • Ensure you installed .NET 8 Runtime.
   • On Linux/macOS, ensure dotnet is in your PATH.

2. PP seems lower than official site:

   • Did you add "CL" to your mods list?
   • Did you pass legacy_total_score=1000000?

📄 License

This project is licensed under the MIT License. Based on ppy/osu-tools (MIT) and pythonnet (MIT).