1{ lib
2, buildPythonPackage
3, pythonOlder
4, fetchFromGitHub
5, setuptools
6
7, cmdstanpy
8, numpy
9, matplotlib
10, pandas
11, holidays
12, tqdm
13, importlib-resources
14
15, dask
16, distributed
17
18, pytestCheckHook
19}:
20
21buildPythonPackage rec {
22 pname = "prophet";
23 version = "1.1.5";
24 pyproject = true;
25
26 disabled = pythonOlder "3.7";
27
28 src = fetchFromGitHub {
29 owner = "facebook";
30 repo = "prophet";
31 rev = version;
32 hash = "sha256-liTg5Hm+FPpRQajBnnJKBh3JPGyu0Hflntf0isj1FiQ=";
33 };
34
35 sourceRoot = "source/python";
36
37 env.PROPHET_REPACKAGE_CMDSTAN = "false";
38
39 nativeBuildInputs = [ setuptools ];
40
41 propagatedBuildInputs = [
42 cmdstanpy
43 numpy
44 matplotlib
45 pandas
46 holidays
47 tqdm
48 importlib-resources
49 ];
50
51 passthru.optional-dependencies.parallel = [ dask distributed ] ++ dask.optional-dependencies.dataframe;
52
53 preCheck = ''
54 # use the generated files from $out for testing
55 mv prophet/tests .
56 rm -r prophet
57 '';
58
59 nativeCheckInputs = [ pytestCheckHook ];
60
61 pythonImportsCheck = [ "prophet" ];
62
63 meta = {
64 changelog = "https://github.com/facebook/prophet/releases/tag/${src.rev}";
65 description = "A tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth";
66 homepage = "https://facebook.github.io/prophet/";
67 license = lib.licenses.mit;
68 maintainers = with lib.maintainers; [ tomasajt ];
69 platforms = lib.platforms.linux; # cmdstanpy doesn't currently build on darwin
70 };
71}