import bpy, numpy
from subprocess import run
from . import file_ops

# get python's binary path (literally my saviour)
py_bin = bpy.app.binary_path_python
pip_install = [py_bin, "-B", "-m", "pip", "install",
               "--trusted-host", "pypi.python.org",
               "--trusted-host", "files.pythonhosted.org",
               "--trusted-host", "pypi.org",
               "-U", "--force-reinstall", "--only-binary", ":all:"]
upd_mods = ["pip", "wheel", "setuptools"]
new_mods = ["lxml"]

try:
  import pip
  import lxml
except:
  # hecking install pip (ensurepip) + required modules
  run([py_bin, "-B", "-m", "ensurepip"])
  # update basic modules then download new modules
  run(pip_install + upd_mods)
  run(pip_install + new_mods)
  # rename numpy's installation folder (cannot delete the folder in windows)
  file_ops.rename(numpy.__path__[0], numpy.__path__[0] + "_bad")
  run(pip_install + ["numpy==1.18.5"]) # install a newer version
  print("First exit!")
  bpy.ops.wm.quit_blender()
  exit(0)

# print module's versions installed
print("pip %s is installed!" % (pip.__version__))
print("lxml %s is installed!" % (lxml.__version__))
# for those who have installed blenxy before, update numpy
# hacky way to do it but it is the only way that works
if (numpy.__version__ != "1.18.5"):
  # rename numpy's installation folder (cannot delete the folder in windows)
  file_ops.rename(numpy.__path__[0], numpy.__path__[0] + "_bad")
  run(pip_install + ["numpy==1.18.5"]) # install a newer version
  print("Second exit!")
  bpy.ops.wm.quit_blender()
  exit(0)
print("numpy %s is installed!" % (numpy.__version__))