Skip to main content

A Python library to generate RetroAchievements scripts programmatically.

Project description

PyCheevos

PyCheevos is a set of tools to generate RetroAchievements achievement sets programmatically using Python.

Inspired by RATools and Cruncheevos, it allows you to leverage the full power of the Python ecosystem (loops, functions, classes) to build complex achievement logic with clean, readable code.

  • Core: Handles condition parsing, memory addresses, arithmetic (byte, word, delta) and logic helpers (reset_if, measured). Now supports logical operators (&, |, ~) and f-strings for clean condition chaining and text formatting.
  • Models: Provides the structure for Sets, Achievements, Leaderboards, and Rich Presence (now supporting independent saving and tuple lookups).
  • Utils: Contains the Smart Importer CLI that automatically maps Code Notes to Python variables, fetching data from local files or directly from the RetroAchievements server.

Installation

You can install PyCheevos directly from PyPI:

pip install pycheevos

[!NOTE] Since the library is under active development, it is recommended to pin the version in your project to avoid breaking changes: pip install pycheevos==0.0.5

Usage

Using this library assumes familiarity with the RetroAchievements workflow and memory inspection.

Quick Start with the Smart Importer

PyCheevos now includes a powerful CLI tool to scaffold your sets instantly.

Run the importer from any folder in your terminal:

pycheevos-import

Select Option 3 (Unified Import) to perform a "Smart Sync":

  1. Downloads Code Notes and generates a notes.py file.
  2. Downloads Achievements and generates an achievements.py file.
  3. Auto-Mapping: The generator automatically detects variable names from notes.py and uses them in your achievement logic (e.g., health == 0x04 instead of byte(0x1234) == value(4)).

Manual Scripting

Create a new .py file and import the library modules (models and core).

Run your script to generate an output folder containing your RA logic files ([ID]-User.txt).

You can change this output location by defining a path in the .save() function of AchievementSet.

Small Demo

from pycheevos.models.set import AchievementSet
from pycheevos.models.achievement import Achievement
from pycheevos.core.helpers import byte, prior, value, reset_if
from pycheevos.core.constants import AchievementType

# Initialize the set
game_set = AchievementSet(game_id=1, title="Sonic the Hedgehog")

# Define Memory Addresses
mem_rings = byte(0xFE20)
mem_zone  = byte(0xFE10)

# Reusable Logic Function
def got_rings(amount):
    """Triggers when ring count increases to or past 'amount'."""
    # Use '&' for AND, '|' for OR, '~' for NOT
    # Use value() to wrap constant numbers safely (optional if comparing against memory)
    return (mem_rings >= value(amount)) & (prior(mem_rings) < value(amount))

# Create Achievement
ach = Achievement(
    title="Super Ring Collector", 
    description="Collect 1000 rings", 
    points=50, 
    id=111001,
    type=AchievementType.PROGRESSION # Use Enum for safety
)

# Apply Logic
# New Syntax: You can chain logic directly using operators
ach.add_core(
    got_rings(1000) & (mem_zone == 0) # Must be in Green Hill
)

# Add reset logic using the helper function
ach.add_core(
    reset_if(mem_rings == 0)
)

game_set.add_achievement(ach)

# Generate the user file (1-User.txt)
game_set.save()

User Repositories

[!IMPORTANT] Your repo here? Make a PR and add it!

Contributing

You are welcome to report issues. If you run into errors generating the script, please include your Python version and the traceback.

You are welcome to request features. When doing so, please show how you would use the feature (pseudo-code) and what logic problem it solves.

The core library aims to be minimal. Complex logic specific to a single game should ideally be implemented in your own script using Python's flexibility, rather than hardcoded into the library core.

Pull Requests are welcome, especially for documentation improvements or type hinting fixes.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pycheevos-0.0.5.tar.gz (25.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pycheevos-0.0.5-py3-none-any.whl (30.9 kB view details)

Uploaded Python 3

File details

Details for the file pycheevos-0.0.5.tar.gz.

File metadata

  • Download URL: pycheevos-0.0.5.tar.gz
  • Upload date:
  • Size: 25.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for pycheevos-0.0.5.tar.gz
Algorithm Hash digest
SHA256 91201cdd72df1b30b2346ad79d584106651f26410c3eb55ad4240171754f53b1
MD5 2a6a8602aa4c45e1917615fca21c1953
BLAKE2b-256 9cdb0956a0ed23d24ac828957ee7a4343c2bf5a774aafc9292b25c54304e53b6

See more details on using hashes here.

File details

Details for the file pycheevos-0.0.5-py3-none-any.whl.

File metadata

  • Download URL: pycheevos-0.0.5-py3-none-any.whl
  • Upload date:
  • Size: 30.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.3

File hashes

Hashes for pycheevos-0.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 df6cf6e4671db0b7193b2dcedc91fb47578bf660e979dc01fddd79bdd5e9a5de
MD5 8818d727f2ee212b05e967e797f7cb03
BLAKE2b-256 8b7004fadab84039ed3d081f0c41bc1503d7cd5eaa36c9f5217c508655782e26

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page