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from configparser import ConfigParser
from os import mkdir
from os.path import expanduser, join, exists
import pathlib
from setuptools import find_packages, setup, Extension
HERE = pathlib.Path(__file__).parent
README = (HERE/"README.txt").read_text()
USER_HOME_DIR = expanduser("~")
DEFAULT_LEARN_DIR = "data"
CONFIG_FILE_NAME = "settings.ini"
KNOWLEDGE_DIR = "knowledge"
CML_CONFIG_DIR = join(USER_HOME_DIR, CML_DIR_NAME)
CML_DEFAULT_LEARN_DIR = join(CML_CONFIG_DIR, DEFAULT_LEARN_DIR)
CONFIG_FILE_PATH = join(CML_CONFIG_DIR, CONFIG_FILE_NAME)
DEFAULT_TRAINING_SET_PATH = join(CML_DEFAULT_LEARN_DIR, DEFAULT_TRAINING_SET)
KNOWLEDGE_DIR_PATH = join(CML_CONFIG_DIR, KNOWLEDGE_DIR)
def create_cml_config_dir():
mkdir(CML_CONFIG_DIR)
def create_data_dir():
mkdir(CML_DEFAULT_LEARN_DIR)
def insert_default_settings_into_config_file():
config = ConfigParser()
config.read(CONFIG_FILE_PATH)
config["GENERAL"]["input_file"] = DEFAULT_TRAINING_SET_PATH
config["GENERAL"]["learn_dir"] = CML_DEFAULT_LEARN_DIR
config["GENERAL"]["knowledge_dir"] = KNOWLEDGE_DIR_PATH
write_configs(config)
def write_configs(config):
with open(CONFIG_FILE_PATH, 'w') as configfile:
config.write(configfile)
if not exists(CML_CONFIG_DIR):
create_cml_config_dir()
licence="MIT",
description="constructivist machine learning",
long_description=README,
long_description_content_type="text/plain",
data_files=[(CML_CONFIG_DIR, ["conML/static/settings.ini"]),
(CML_DEFAULT_LEARN_DIR, ["conML/static/toyset.csv"]),
author="Dmitrij Denisenko",
install_requires=[
"numpy==1.19.2",
"krippendorff==0.4.0",
"scikit-learn==0.23.2",
"scipy==1.6.1",
"pandas==1.2.2"