Skip to main content

Readers for Minesweeper replays

Project description

Sweeping View

Sweeping view is a library that can parse replay files produced by official Minesweeper clones, as well as Metasweeper.

It's fairly bare-bones, and doesn't do much more than parse replay files. If you want to do actual analysis of replay files, even just getting board events from mouse events, you probably want to use ms-toollib instead (see below).

Currently supported:

Formats:

  • RMV (Viennasweeper)
  • AVF (Minesweeper Arbiter, Freesweeper)
  • EVF (Metasweeper)

Tested Python versions:

  • 3.6
  • 3.7
  • 3.8
  • 3.9
  • 3.10
  • 3.11
  • 3.12

Is this a good idea? Shouldn't the formats be secret?

They aren't anymore anyway. There are open-source tools available to convert the implemented formats to rawvf, an entirely text-based format.

What this library doesn't do is make any attempt to verify checksums. Those remain as the primary obstacle to generating fake replays.

Similar projects

ms-toollib

ms-toollib is a library that provides way more features than sweeping-view.

Besides replay parsing, it also provides a fully featured minesweeper engine, as well as numerous algorithms. It is written in Rust, but there is a Python package of the same name on PyPI. https://github.com/eee555/ms-toollib/

On the other hand, sweeping-view is pure Python and has zero dependencies - so if all you need is metadata, it might be all you need!

Rawvf

Rawvf is a plain-text minesweeper replay format. A collection of command line tools to convert various formats to it can be found here: https://github.com/thefinerminer/minesweeper-rawvf

Rawvf offers far better support (more formats/old versions of formats), but the tools aren't usable as libraries.

State of completion and stability

This library is still a work in progress, and parts of the public API may change completely - this is because while all existing parsers work for now, not much care has been taken to make them consistent.

Example use

Arbiter

code

from sweeping_view.avf import AVFReplay

avf = AVFReplay.from_file("HI-SCORE Beg_5.41_3BV=28_3BVs=5.17_Tommy.avf")

print(avf.name)
print(avf.properties)
print(avf.mines)

output

'Tommy'
{'level': 'beginner', 'questionmarks': False}
[(4, 1), (5, 2), (8, 2), (2, 3), (6, 3), (4, 5), (8, 5), (6, 6), (8, 6), (4, 7)]

Viennasweeper

code

from sweeping_view.rmv import RMVReplay

rmv = RMVReplay.from_file("fd60_beg_4153_NF_1600544477.rmv")

print(rmv.player_data)
print(rmv.properties)
print(rmv.mines)

output

{'name': 'tkolar'}
{'questionmarks': False, 'nonflagging': True, 'mode': 'normal', 'level': 'beginner'}
[(1, 3), (2, 3), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6), (5, 4), (6, 6), (7, 6)]

Metasweeper

code

from sweeping_view.evf import EVFReplay

evf = EVFReplay.from_file("test_subject.evf")

print(evf.user_identifier)
print(rmv.bbbv)
print(rmv.timeth)

output

Szymon_M
167
69597

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

sweeping_view-0.4.0a1.tar.gz (55.8 kB view details)

Uploaded Source

Built Distribution

sweeping_view-0.4.0a1-py3-none-any.whl (11.9 kB view details)

Uploaded Python 3

File details

Details for the file sweeping_view-0.4.0a1.tar.gz.

File metadata

  • Download URL: sweeping_view-0.4.0a1.tar.gz
  • Upload date:
  • Size: 55.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for sweeping_view-0.4.0a1.tar.gz
Algorithm Hash digest
SHA256 06fb2e234bb1a4858ccb13f472b7940ef65aad0670f9110824b8f0306200adac
MD5 5a81535857569d78b43ea7fa49b8bb45
BLAKE2b-256 f3017c020cb33196494572a1fbb249ae7c9ff58ee72da9e1a599cdac1a70877d

See more details on using hashes here.

File details

Details for the file sweeping_view-0.4.0a1-py3-none-any.whl.

File metadata

File hashes

Hashes for sweeping_view-0.4.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 fec84c198626ce8974d35902c47a1012abc9fe144f9ff63c42bad429b24d5a88
MD5 8ca9b0ccc48601cb12f901f1ba8df743
BLAKE2b-256 340e77b3f5d0eafface9c837e52185dbd4957add9b35f40ff57e6cbb42dda7ae

See more details on using hashes here.

Supported by

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