Source code for covalent._workflow.depspip

# Copyright 2021 Agnostiq Inc.
# This file is part of Covalent.
# Licensed under the Apache License 2.0 (the "License"). A copy of the
# License may be obtained with this software package or at
# Use of this file is prohibited except in compliance with the License.
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# See the License for the specific language governing permissions and
# limitations under the License.

import subprocess
import tempfile
from copy import deepcopy
from typing import List, Union

from .deps import Deps
from .transport import TransportableObject

def apply_pip_deps(pkgs: [] = [], requirements_content: str = ""):
    if requirements_content:
        reqs_filename = ""
        with tempfile.NamedTemporaryFile("w", delete=False) as f:
            reqs_filename =
        cmd = f"pip install --no-input -r {reqs_filename}".split()

        pkg_list = " ".join(pkgs)
        cmd = f"pip install --no-input {pkg_list}".split(), stdin=subprocess.DEVNULL, check=True, capture_output=True)

[docs]class DepsPip(Deps): """PyPI packages to be installed before executing an electron A specification of Pip packages to be installed Attributes: packages: A list of PyPI packages to install reqs_path: Path to requirements.txt (overrides `packages`) These packages are installed in an electron's execution environment just before the electron is run. """ def __init__(self, packages: Union[List, str] = [], reqs_path: str = ""): if isinstance(packages, str): self.packages = [packages] else: self.packages = packages self.reqs_path = reqs_path self.requirements_content = "" if self.reqs_path: with open(self.reqs_path, "r") as f: self.requirements_content = apply_args = [self.packages, self.requirements_content] super().__init__(apply_fn=apply_pip_deps, apply_args=apply_args)
[docs] def to_dict(self) -> dict: """Return a JSON-serializable dictionary representation of self""" attributes = self.__dict__.copy() for k, v in attributes.items(): if isinstance(v, TransportableObject): attributes[k] = v.to_dict() return {"type": "DepsPip", "short_name": self.short_name(), "attributes": attributes}
[docs] def from_dict(self, object_dict) -> "DepsPip": """Rehydrate a dictionary representation Args: object_dict: a dictionary representation returned by `to_dict` Returns: self Instance attributes will be overwritten. """ if not object_dict: return self attributes = deepcopy(object_dict)["attributes"] for k, v in attributes.items(): if isinstance(v, dict) and v.get("type", None) == "TransportableObject": attributes[k] = TransportableObject.from_dict(v) self.__dict__ = attributes return self