spaCy/spacy/cli/download.py
2020-02-18 17:20:17 +01:00

106 lines
3.8 KiB
Python

import requests
import os
import subprocess
import sys
from wasabi import msg
from .. import about
def download(
model: ("Model to download (shortcut or name)", "positional", None, str),
direct: ("Force direct download of name + version", "flag", "d", bool) = False,
*pip_args: ("Additional arguments to be passed to `pip install` on model install"),
):
"""
Download compatible model from default download path using pip. If --direct
flag is set, the command expects the full model name with version.
For direct downloads, the compatibility check will be skipped.
"""
if not require_package("spacy") and "--no-deps" not in pip_args:
msg.warn(
"Skipping model package dependencies and setting `--no-deps`. "
"You don't seem to have the spaCy package itself installed "
"(maybe because you've built from source?), so installing the "
"model dependencies would cause spaCy to be downloaded, which "
"probably isn't what you want. If the model package has other "
"dependencies, you'll have to install them manually."
)
pip_args = pip_args + ("--no-deps",)
dl_tpl = "{m}-{v}/{m}-{v}.tar.gz#egg={m}=={v}"
if direct:
components = model.split("-")
model_name = "".join(components[:-1])
version = components[-1]
dl = download_model(dl_tpl.format(m=model_name, v=version), pip_args)
else:
shortcuts = get_json(about.__shortcuts__, "available shortcuts")
model_name = shortcuts.get(model, model)
compatibility = get_compatibility()
version = get_version(model_name, compatibility)
dl = download_model(dl_tpl.format(m=model_name, v=version), pip_args)
if dl != 0: # if download subprocess doesn't return 0, exit
sys.exit(dl)
msg.good(
"Download and installation successful",
f"You can now load the model via spacy.load('{model_name}')",
)
# If a model is downloaded and then loaded within the same process, our
# is_package check currently fails, because pkg_resources.working_set
# is not refreshed automatically (see #3923). We're trying to work
# around this here be requiring the package explicitly.
require_package(model_name)
def require_package(name):
try:
import pkg_resources
pkg_resources.working_set.require(name)
return True
except: # noqa: E722
return False
def get_json(url, desc):
r = requests.get(url)
if r.status_code != 200:
msg.fail(
f"Server error ({r.status_code})",
f"Couldn't fetch {desc}. Please find a model for your spaCy "
f"installation (v{about.__version__}), and download it manually. "
f"For more details, see the documentation: "
f"https://spacy.io/usage/models",
exits=1,
)
return r.json()
def get_compatibility():
version = about.__version__
version = version.rsplit(".dev", 1)[0]
comp_table = get_json(about.__compatibility__, "compatibility table")
comp = comp_table["spacy"]
if version not in comp:
msg.fail(f"No compatible models found for v{version} of spaCy", exits=1)
return comp[version]
def get_version(model, comp):
model = model.rsplit(".dev", 1)[0]
if model not in comp:
msg.fail(
f"No compatible model found for '{model}' (spaCy v{about.__version__})",
exits=1,
)
return comp[model][0]
def download_model(filename, user_pip_args=None):
download_url = about.__download_url__ + "/" + filename
pip_args = ["--no-cache-dir"]
if user_pip_args:
pip_args.extend(user_pip_args)
cmd = [sys.executable, "-m", "pip", "install"] + pip_args + [download_url]
return subprocess.call(cmd, env=os.environ.copy())