blob: c0d4b7bf620061105af61275b31f28957f320b30 (
plain) (
blame)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
|
optcut
======
`https://opcut.herokuapp.com/`
`optcut` is cutting stock problem optimizer
(`https://en.wikipedia.org/wiki/Cutting_stock_problem`) utilizing multiple
panels and guillotine cuts (end-to-end cuts). This project includes multiple
back-end optimizer implementations and single-page web application front-end.
Runtime requirements
--------------------
* python >=3.6
Additional required python packages are listed in `requirements.txt`.
Development requirements
------------------------
* nodejs >=7
* yarn
Build
-----
Build tool used for `opcut` is pydoit (`http://pydoit.org/`). It can be
installed together with other python dependencies by running::
$ pip install -r requirements.txt
For listing available doit tasks, use::
$ doit list
Default task::
$ doit
creates `dist` folder containing `opcut` distribution.
TODO
----
* global
* create CONTRIBUTING
* cleanup package.json
* cleanup webpack.config.js
* write setup.py
* optimizer
* evaluate research papers and proposed algorithms
* define optimizer api
* implement multiple algorithms in python
* evaluate python implementations and do native rewrites is needed
* back-end
* define json schemas and communication interface between back-end and
front-end
* basic backend implementation in python
* additional functionality (multiple output formats)
* front-end
* implement communication with back-end
* additional GUI refactoring
|
