dffml/setup.py at master · aghinsa/dffml · GitHub

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
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
# SPDX-License-Identifier: MIT
# Copyright (c) 2019 Intel Corporation
import os
import ast
import pathlib
from io import open
import importlib.util
from setuptools import find_packages, setup

with open(pathlib.Path("dffml", "version.py"), "r") as f:
    for line in f:
        if line.startswith("VERSION"):
            VERSION = ast.literal_eval(line.strip().split("=")[-1].strip())
            break

# Load file by path
spec = importlib.util.spec_from_file_location(
    "plugins", os.path.join(os.path.dirname(__file__), "dffml", "plugins.py")
)
plugins = importlib.util.module_from_spec(spec)
spec.loader.exec_module(plugins)

with open("README.md", "r", encoding="utf-8") as f:
    README = f.read()

setup(
    name="dffml",
    version=VERSION,
    description="Data Flow Facilitator for Machine Learning",
    long_description=README,
    long_description_content_type="text/markdown",
    author="John Andersen",
    author_email="[email protected]",
    maintainer="John Andersen",
    maintainer_email="[email protected]",
    url="https://github.com/intel/dffml",
    license="MIT",
    keywords=[""],
    classifiers=[
        "Development Status :: 3 - Alpha",
        "Intended Audience :: Developers",
        "License :: OSI Approved :: MIT License",
        "Natural Language :: English",
        "Operating System :: OS Independent",
        "Programming Language :: Python :: 3 :: Only",
        "Programming Language :: Python :: 3.7",
        "Programming Language :: Python :: Implementation :: CPython",
        "Programming Language :: Python :: Implementation :: PyPy",
    ],
    packages=find_packages(),
    include_package_data=True,
    zip_safe=False,
    extras_require={
        "dev": [
            "coverage",
            "codecov",
            "sphinx",
            "sphinx_rtd_theme",
            "recommonmark",
            "black",
            "jsbeautifier",
            "twine",
        ],
        **plugins.PACKAGE_NAMES_BY_PLUGIN_INSTALLABLE,
    },
    tests_require=["httptest>=0.0.15", "Pillow>=7.1.2", "numpy>=1.16.2",],
    entry_points={
        "console_scripts": ["dffml = dffml.cli.cli:CLI.main"],
        "dffml.source": [
            "csv = dffml.source.csv:CSVSource",
            "json = dffml.source.json:JSONSource",
            "memory = dffml.source.memory:MemorySource",
            "idx1 = dffml.source.idx1:IDX1Source",
            "idx3 = dffml.source.idx3:IDX3Source",
            "db = dffml.source.db:DbSource",
            "ini = dffml.source.ini:INISource",
            "df = dffml.source.df:DataFlowSource",
            "op = dffml.source.op:OpSource",
            "dir = dffml.source.dir:DirectorySource",
        ],
        "dffml.port": ["json = dffml.port.json:JSON"],
        "dffml.service.cli": ["dev = dffml.service.dev:Develop"],
        "dffml.configloader": [
            "json = dffml.configloader.json:JSONConfigLoader"
        ],
        # Data Flow
        "dffml.operation": [
            # Output
            "group_by = dffml.operation.output:GroupBy",
            "get_single = dffml.operation.output:GetSingle",
            "get_multi = dffml.operation.output:GetMulti",
            "associate = dffml.operation.output:Associate",
            "associate_definition = dffml.operation.output:AssociateDefinition",
            # Mapping
            "dffml.mapping.extract = dffml.operation.mapping:mapping_extract_value",
            "dffml.mapping.create = dffml.operation.mapping:create_mapping",
            # Dataflow
            "dffml.dataflow.run = dffml.operation.dataflow:run_dataflow",
            # Model
            "dffml.model.predict = dffml.operation.model:model_predict",
            # io
            "AcceptUserInput = dffml.operation.io:AcceptUserInput",
            "print_output = dffml.operation.io:print_output",
            # preprocess
            "literal_eval = dffml.operation.preprocess:literal_eval",
            # math
            "multiply = dffml.operation.math:multiply",
            # Database
            "db_query_create_table = dffml.operation.db:db_query_create_table",
            "db_query_insert = dffml.operation.db:db_query_insert",
            "db_query_update = dffml.operation.db:db_query_update",
            "db_query_remove = dffml.operation.db:db_query_remove",
            "db_query_insert_or_update = dffml.operation.db:db_query_insert_or_update",
            "db_query_lookup = dffml.operation.db:db_query_lookup",
        ],
        "dffml.kvstore": ["memory = dffml.df.memory:MemoryKeyValueStore"],
        "dffml.input.network": ["memory = dffml.df.memory:MemoryInputNetwork"],
        "dffml.operation.network": [
            "memory = dffml.df.memory:MemoryOperationNetwork"
        ],
        "dffml.redundancy.checker": [
            "memory = dffml.df.memory:MemoryRedundancyChecker"
        ],
        "dffml.lock.network": ["memory = dffml.df.memory:MemoryLockNetwork"],
        "dffml.operation.implementation.network": [
            "memory = dffml.df.memory:MemoryOperationImplementationNetwork"
        ],
        "dffml.orchestrator": ["memory = dffml.df.memory:MemoryOrchestrator"],
        # Databases
        "dffml.db": ["sqlite = dffml.db.sqlite:SqliteDatabase"],
        # Models
        "dffml.model": ["slr = dffml.model.slr:SLRModel"],
        # Secrets
        "dffml.secret": ["ini = dffml.secret.ini:INISecret"],
    },
)