Source code for evalml.utils.cli_utils

"""CLI functions."""
import locale
import os
import pathlib
import platform
import struct
import sys

import black
import pkg_resources
import tomli
from packaging.requirements import Requirement

import evalml
from evalml.utils import get_logger

CONDA_TO_PIP_NAME = {
    "python-kaleido": "kaleido",
    "py-xgboost": "xgboost",
    "matplotlib-base": "matplotlib",
    "python-graphviz": "graphviz",
    "category-encoders": "category_encoders",
}











# Modified from here
# https://github.com/pandas-dev/pandas/blob/d9a037ec4ad0aab0f5bf2ad18a30554c38299e57/pandas/util/_print_versions.py#L11
[docs]def get_sys_info(): """Returns system information. Returns: List of tuples about system stats. """ blob = [] try: (sysname, nodename, release, version, machine, processor) = platform.uname() blob.extend( [ ("python", ".".join(map(str, sys.version_info))), ("python-bits", struct.calcsize("P") * 8), ("OS", "{sysname}".format(sysname=sysname)), ("OS-release", "{release}".format(release=release)), ("machine", "{machine}".format(machine=machine)), ("processor", "{processor}".format(processor=processor)), ("byteorder", "{byteorder}".format(byteorder=sys.byteorder)), ("LC_ALL", "{lc}".format(lc=os.environ.get("LC_ALL", "None"))), ("LANG", "{lang}".format(lang=os.environ.get("LANG", "None"))), ("LOCALE", ".".join(map(str, locale.getlocale()))), ], ) except (KeyError, ValueError): pass return blob
[docs]def get_installed_packages(): """Get dictionary mapping installed package names to their versions. Returns: Dictionary mapping installed package names to their versions. """ installed_packages = {} for d in pkg_resources.working_set: installed_packages[d.project_name.lower()] = d.version return installed_packages
[docs]def get_evalml_root(): """Gets location where evalml is installed. Returns: Location where evalml is installed. """ return os.path.dirname(evalml.__file__)
[docs]def standardize_format(packages, ignore_packages=None, convert_to_conda=True): """Standardizes the format of the given packages. Args: packages: Requirements package generator object. ignore_packages: List of packages to ignore. Defaults to None. Returns: List of packages with standardized format. """ ignore_packages = [] if ignore_packages is None else ignore_packages standardized_package_specifiers = [] for package in packages: if package.name in ignore_packages: continue name = package.name if convert_to_conda and name in CONDA_TO_PIP_NAME: name = CONDA_TO_PIP_NAME.get(package.name) if package.specifier: all_specs = package.specifier standardized = f"{name}{all_specs}" else: standardized = name standardized_package_specifiers.append(standardized) return standardized_package_specifiers
[docs]def get_evalml_pip_requirements( evalml_path, ignore_packages=None, convert_to_conda=True, ): """Gets pip requirements for evalml (with pip packages converted to conda names) Args: evalml_path: Path to evalml root. ignore_packages: List of packages to ignore. Defaults to None. Returns: List of pip requirements for evalml. """ toml_dict = None project_metadata_filepath = pathlib.Path(evalml_path, "pyproject.toml") with open(project_metadata_filepath, "rb") as f: toml_dict = tomli.load(f) packages = [] for dep in toml_dict["project"]["dependencies"]: packages.append(Requirement(dep)) standardized_package_specifiers = standardize_format( packages=packages, ignore_packages=ignore_packages, convert_to_conda=convert_to_conda, ) return standardized_package_specifiers
[docs]def get_evalml_requirements_file(evalml_path, requirements_file_path): """Gets pip requirements for evalml as a requirements file Args: evalml_path: Path to evalml root. requirements_file_path: Path to requirements file. Returns: Pip requirements for evalml in a singular string. """ requirements = "\n".join( get_evalml_pip_requirements(evalml_path, convert_to_conda=False), ) with open(requirements_file_path, "w") as text_file: text_file.write(requirements) return requirements
[docs]def get_evalml_black_config( evalml_path, ): """Gets configuration for black. Args: evalml_path: Path to evalml root. Returns: Dictionary of black configuration. """ black_config = None try: toml_dict = None evalml_path = pathlib.Path(evalml_path, "pyproject.toml") with open(evalml_path, "rb") as f: toml_dict = tomli.load(f) black_config = toml_dict["tool"]["black"] black_config["line_length"] = black_config.pop("line-length") target_versions = set( [ black.TargetVersion[ver.upper()] for ver in black_config.pop("target-version") ], ) black_config["target_versions"] = target_versions except Exception: black_config = { "line_length": 88, "target_versions": set([black.TargetVersion["PY39"]]), } return black_config