Rooba
/
lightning
mirror of https://github.com/Lightning-AI/lightning.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity
lightning/.actions/assistant.py

480 lines
19 KiB
Python
Raw Blame History

# Copyright The Lightning AI team.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import glob
import logging
import os
import pathlib
import re
import shutil
import tarfile
import tempfile
import urllib.request
from distutils.version import LooseVersion
from itertools import chain
from os.path import dirname, isfile
from pathlib import Path
from typing import Any, Dict, Iterable, Iterator, List, Optional, Sequence, Tuple, Union
from pkg_resources import parse_requirements, Requirement, yield_lines
REQUIREMENT_FILES = {
"pytorch": (
"requirements/pytorch/base.txt",
"requirements/pytorch/extra.txt",
"requirements/pytorch/strategies.txt",
"requirements/pytorch/examples.txt",
),
"app": (
"requirements/app/app.txt",
"requirements/app/cloud.txt",
"requirements/app/ui.txt",
),
"fabric": (
"requirements/fabric/base.txt",
"requirements/fabric/strategies.txt",
),
"data": (
"requirements/data/data.txt",
"requirements/data/cloud.txt",
"requirements/data/examples.txt",
),
}
REQUIREMENT_FILES_ALL = list(chain(*REQUIREMENT_FILES.values()))
_PROJECT_ROOT = os.path.dirname(os.path.dirname(__file__))
class _RequirementWithComment(Requirement):
strict_string = "# strict"
def __init__(self, *args: Any, comment: str = "", pip_argument: Optional[str] = None, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.comment = comment
assert pip_argument is None or pip_argument # sanity check that it's not an empty str
self.pip_argument = pip_argument
self.strict = self.strict_string in comment.lower()
def adjust(self, unfreeze: str) -> str:
"""Remove version restrictions unless they are strict.
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# anything").adjust("none")
'arrow<=1.2.2,>=1.2.0'
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# strict").adjust("none")
'arrow<=1.2.2,>=1.2.0 # strict'
>>> _RequirementWithComment("arrow<=1.2.2,>=1.2.0", comment="# my name").adjust("all")
'arrow>=1.2.0'
>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# strict").adjust("all")
'arrow<=1.2.2,>=1.2.0 # strict'
>>> _RequirementWithComment("arrow").adjust("all")
'arrow'
>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# cool").adjust("major")
'arrow<2.0,>=1.2.0'
>>> _RequirementWithComment("arrow>=1.2.0, <=1.2.2", comment="# strict").adjust("major")
'arrow<=1.2.2,>=1.2.0 # strict'
>>> _RequirementWithComment("arrow>=1.2.0").adjust("major")
'arrow>=1.2.0'
>>> _RequirementWithComment("arrow").adjust("major")
'arrow'
"""
out = str(self)
if self.strict:
return f"{out} {self.strict_string}"
if unfreeze == "major":
for operator, version in self.specs:
if operator in ("<", "<="):
major = LooseVersion(version).version[0]
# replace upper bound with major version increased by one
return out.replace(f"{operator}{version}", f"<{major + 1}.0")
elif unfreeze == "all":
for operator, version in self.specs:
if operator in ("<", "<="):
# drop upper bound
return out.replace(f"{operator}{version},", "")
elif unfreeze != "none":
raise ValueError(f"Unexpected unfreeze: {unfreeze!r} value.")
return out
def _parse_requirements(strs: Union[str, Iterable[str]]) -> Iterator[_RequirementWithComment]:
"""Adapted from `pkg_resources.parse_requirements` to include comments.
>>> txt = ['# ignored', '', 'this # is an', '--piparg', 'example', 'foo # strict', 'thing', '-r different/file.txt']
>>> [r.adjust('none') for r in _parse_requirements(txt)]
['this', 'example', 'foo # strict', 'thing']
>>> txt = '\\n'.join(txt)
>>> [r.adjust('none') for r in _parse_requirements(txt)]
['this', 'example', 'foo # strict', 'thing']
"""
lines = yield_lines(strs)
pip_argument = None
for line in lines:
# Drop comments -- a hash without a space may be in a URL.
if " #" in line:
comment_pos = line.find(" #")
line, comment = line[:comment_pos], line[comment_pos:]
else:
comment = ""
# If there is a line continuation, drop it, and append the next line.
if line.endswith("\\"):
line = line[:-2].strip()
try:
line += next(lines)
except StopIteration:
return
# If there's a pip argument, save it
if line.startswith("--"):
pip_argument = line
continue
if line.startswith("-r "):
# linked requirement files are unsupported
continue
yield _RequirementWithComment(line, comment=comment, pip_argument=pip_argument)
pip_argument = None
def load_requirements(path_dir: str, file_name: str = "base.txt", unfreeze: str = "all") -> List[str]:
"""Loading requirements from a file.
>>> path_req = os.path.join(_PROJECT_ROOT, "requirements")
>>> load_requirements(path_req, "docs.txt", unfreeze="major") # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
['sphinx<...]
"""
assert unfreeze in {"none", "major", "all"}
path = Path(path_dir) / file_name
if not path.exists():
logging.warning(f"Folder {path_dir} does not have any base requirements.")
return []
assert path.exists(), (path_dir, file_name, path)
text = path.read_text()
return [req.adjust(unfreeze) for req in _parse_requirements(text)]
def load_readme_description(path_dir: str, homepage: str, version: str) -> str:
"""Load readme as decribtion.
>>> load_readme_description(_PROJECT_ROOT, "", "") # doctest: +ELLIPSIS +NORMALIZE_WHITESPACE
'...PyTorch Lightning is just organized PyTorch...'
"""
path_readme = os.path.join(path_dir, "README.md")
with open(path_readme, encoding="utf-8") as fo:
text = fo.read()
# drop images from readme
text = text.replace(
"![PT to PL](docs/source-pytorch/_static/images/general/pl_quick_start_full_compressed.gif)", ""
)
# https://github.com/Lightning-AI/lightning/raw/master/docs/source/_static/images/lightning_module/pt_to_pl.png
github_source_url = os.path.join(homepage, "raw", version)
# replace relative repository path to absolute link to the release
# do not replace all "docs" as in the readme we reger some other sources with particular path to docs
text = text.replace(
"docs/source-pytorch/_static/", f"{os.path.join(github_source_url, 'docs/source-app/_static/')}"
)
# readthedocs badge
text = text.replace("badge/?version=stable", f"badge/?version={version}")
text = text.replace("pytorch-lightning.readthedocs.io/en/stable/", f"pytorch-lightning.readthedocs.io/en/{version}")
# codecov badge
text = text.replace("/branch/master/graph/badge.svg", f"/release/{version}/graph/badge.svg")
# github actions badge
text = text.replace("badge.svg?branch=master&event=push", f"badge.svg?tag={version}")
# azure pipelines badge
text = text.replace("?branchName=master", f"?branchName=refs%2Ftags%2F{version}")
skip_begin = r"<!-- following section will be skipped from PyPI description -->"
skip_end = r"<!-- end skipping PyPI description -->"
# todo: wrap content as commented description
return re.sub(rf"{skip_begin}.+?{skip_end}", "<!-- -->", text, flags=re.IGNORECASE + re.DOTALL)
# # https://github.com/Borda/pytorch-lightning/releases/download/1.1.0a6/codecov_badge.png
# github_release_url = os.path.join(homepage, "releases", "download", version)
# # download badge and replace url with local file
# text = _parse_for_badge(text, github_release_url)
def distribute_version(src_folder: str, ver_file: str = "version.info") -> None:
"""Copy the global version to all packages."""
ls_ver = glob.glob(os.path.join(src_folder, "*", "__version__.py"))
ver_template = os.path.join(src_folder, ver_file)
for fpath in ls_ver:
fpath = os.path.join(os.path.dirname(fpath), ver_file)
print("Distributing the version to", fpath)
if os.path.isfile(fpath):
os.remove(fpath)
shutil.copy2(ver_template, fpath)
def _download_frontend(pkg_path: str):
"""Downloads an archive file for a specific release of the Lightning frontend and extracts it to the correct
directory."""
try:
frontend_dir = pathlib.Path(pkg_path, "ui")
download_dir = tempfile.mkdtemp()
shutil.rmtree(frontend_dir, ignore_errors=True)
# TODO: remove this once lightning-ui package is ready as a dependency
frontend_release_url = "https://storage.googleapis.com/grid-packages/lightning-ui/v0.0.0/build.tar.gz"
response = urllib.request.urlopen(frontend_release_url)
file = tarfile.open(fileobj=response, mode="r|gz")
file.extractall(path=download_dir)
shutil.move(os.path.join(download_dir, "build"), frontend_dir)
print("The Lightning UI has successfully been downloaded!")
# If installing from source without internet connection, we don't want to break the installation
except Exception:
print("The Lightning UI downloading has failed!")
def _load_aggregate_requirements(req_dir: str = "requirements", freeze_requirements: bool = False) -> None:
"""Load all base requirements from all particular packages and prune duplicates.
>>> _load_aggregate_requirements(os.path.join(_PROJECT_ROOT, "requirements"))
"""
requires = [
load_requirements(d, unfreeze="none" if freeze_requirements else "major")
for d in glob.glob(os.path.join(req_dir, "*"))
# skip empty folder (git artifacts), and resolving Will's special issue
if os.path.isdir(d) and len(glob.glob(os.path.join(d, "*"))) > 0 and not os.path.basename(d).startswith("_")
]
if not requires:
return
# TODO: add some smarter version aggregation per each package
requires = sorted(set(chain(*requires)))
with open(os.path.join(req_dir, "base.txt"), "w") as fp:
fp.writelines([ln + os.linesep for ln in requires] + [os.linesep])
def _retrieve_files(directory: str, *ext: str) -> List[str]:
all_files = []
for root, _, files in os.walk(directory):
for fname in files:
if not ext or any(os.path.split(fname)[1].lower().endswith(e) for e in ext):
all_files.append(os.path.join(root, fname))
return all_files
def _replace_imports(lines: List[str], mapping: List[Tuple[str, str]], lightning_by: str = "") -> List[str]:
"""Replace imports of standalone package to lightning.
>>> lns = [
... '"lightning_app"',
... "lightning_app",
... "lightning_app/",
... "delete_cloud_lightning_apps",
... "from lightning_app import",
... "lightning_apps = []",
... "lightning_app and pytorch_lightning are ours",
... "def _lightning_app():",
... ":class:`~lightning_app.core.flow.LightningFlow`",
... "http://pytorch_lightning.ai",
... "from lightning import __version__",
... "@lightning.ai"
... ]
>>> mapping = [("lightning_app", "lightning.app"), ("pytorch_lightning", "lightning.pytorch")]
>>> _replace_imports(lns, mapping, lightning_by="lightning_fabric") # doctest: +NORMALIZE_WHITESPACE
['"lightning.app"', \
'lightning.app', \
'lightning_app/', \
'delete_cloud_lightning_apps', \
'from lightning.app import', \
'lightning_apps = []', \
'lightning.app and lightning.pytorch are ours', \
'def _lightning_app():', \
':class:`~lightning.app.core.flow.LightningFlow`', \
'http://pytorch_lightning.ai', \
'from lightning_fabric import __version__', \
'@lightning.ai']
"""
out = lines[:]
for source_import, target_import in mapping:
for i, ln in enumerate(out):
out[i] = re.sub(
rf"([^_/@]|^){source_import}([^_\w/]|$)",
rf"\1{target_import}\2",
ln,
)
if lightning_by: # in addition, replace base package
out[i] = out[i].replace("from lightning import ", f"from {lightning_by} import ")
out[i] = out[i].replace("import lightning ", f"import {lightning_by} ")
return out
def copy_replace_imports(
source_dir: str,
source_imports: Sequence[str],
target_imports: Sequence[str],
target_dir: Optional[str] = None,
lightning_by: str = "",
) -> None:
"""Copy package content with import adjustments."""
print(f"Replacing imports: {locals()}")
assert len(source_imports) == len(target_imports), (
"source and target imports must have the same length, "
f"source: {len(source_imports)}, target: {len(target_imports)}"
)
if target_dir is None:
target_dir = source_dir
ls = _retrieve_files(source_dir)
for fp in ls:
fp_new = fp.replace(source_dir, target_dir)
_, ext = os.path.splitext(fp)
if ext in (".png", ".jpg", ".ico"):
os.makedirs(dirname(fp_new), exist_ok=True)
if not isfile(fp_new):
shutil.copy(fp, fp_new)
continue
if ext in (".pyc",):
continue
# Try to parse everything else
with open(fp, encoding="utf-8") as fo:
try:
lines = fo.readlines()
except UnicodeDecodeError:
# a binary file, skip
print(f"Skipped replacing imports for {fp}")
continue
lines = _replace_imports(lines, list(zip(source_imports, target_imports)), lightning_by=lightning_by)
os.makedirs(os.path.dirname(fp_new), exist_ok=True)
with open(fp_new, "w", encoding="utf-8") as fo:
fo.writelines(lines)
def create_mirror_package(source_dir: str, package_mapping: Dict[str, str]) -> None:
# replace imports and copy the code
mapping = package_mapping.copy()
mapping.pop("lightning", None) # pop this key to avoid replacing `lightning` to `lightning.lightning`
mapping = {f"lightning.{sp}": sl for sp, sl in mapping.items()}
for pkg_from, pkg_to in mapping.items():
copy_replace_imports(
source_dir=os.path.join(source_dir, pkg_from.replace(".", os.sep)),
# pytorch_lightning uses lightning_fabric, so we need to replace all imports for all directories
source_imports=mapping.keys(),
target_imports=mapping.values(),
target_dir=os.path.join(source_dir, pkg_to.replace(".", os.sep)),
lightning_by=pkg_from,
)
class AssistantCLI:
@staticmethod
def requirements_prune_pkgs(packages: Sequence[str], req_files: Sequence[str] = REQUIREMENT_FILES_ALL) -> None:
"""Remove some packages from given requirement files."""
if isinstance(req_files, str):
req_files = [req_files]
for req in req_files:
AssistantCLI._prune_packages(req, packages)
@staticmethod
def _prune_packages(req_file: str, packages: Sequence[str]) -> None:
"""Remove some packages from given requirement files."""
path = Path(req_file)
assert path.exists()
text = path.read_text()
lines = text.splitlines()
final = []
for line in lines:
ln_ = line.strip()
if not ln_ or ln_.startswith("#"):
final.append(line)
continue
req = list(parse_requirements(ln_))[0]
if req.name not in packages:
final.append(line)
print(final)
path.write_text("\n".join(final) + "\n")
@staticmethod
def _replace_min(fname: str) -> None:
with open(fname, encoding="utf-8") as fo:
req = fo.read().replace(">=", "==")
with open(fname, "w", encoding="utf-8") as fw:
fw.write(req)
@staticmethod
def replace_oldest_ver(requirement_fnames: Sequence[str] = REQUIREMENT_FILES_ALL) -> None:
"""Replace the min package version by fixed one."""
for fname in requirement_fnames:
print(fname)
AssistantCLI._replace_min(fname)
@staticmethod
def copy_replace_imports(
source_dir: str,
source_import: str,
target_import: str,
target_dir: Optional[str] = None,
lightning_by: str = "",
) -> None:
"""Copy package content with import adjustments."""
source_imports = source_import.strip().split(",")
target_imports = target_import.strip().split(",")
copy_replace_imports(
source_dir, source_imports, target_imports, target_dir=target_dir, lightning_by=lightning_by
)
@staticmethod
def pull_docs_files(
gh_user_repo: str,
target_dir: str = "docs/source-pytorch/XXX",
checkout: str = "tags/1.0.0",
source_dir: str = "docs/source",
) -> None:
"""Pull docs pages from external source and append to local docs."""
import zipfile
zip_url = f"https://github.com/{gh_user_repo}/archive/refs/{checkout}.zip"
with tempfile.TemporaryDirectory() as tmp:
zip_file = os.path.join(tmp, "repo.zip")
urllib.request.urlretrieve(zip_url, zip_file)
with zipfile.ZipFile(zip_file, "r") as zip_ref:
zip_ref.extractall(tmp)
zip_dirs = [d for d in glob.glob(os.path.join(tmp, "*")) if os.path.isdir(d)]
# check that the extracted archive has only repo folder
assert len(zip_dirs) == 1
repo_dir = zip_dirs[0]
ls_pages = glob.glob(os.path.join(repo_dir, source_dir, "*.rst"))
ls_pages += glob.glob(os.path.join(repo_dir, source_dir, "**", "*.rst"))
for rst in ls_pages:
rel_rst = rst.replace(os.path.join(repo_dir, source_dir) + os.path.sep, "")
rel_dir = os.path.dirname(rel_rst)
os.makedirs(os.path.join(_PROJECT_ROOT, target_dir, rel_dir), exist_ok=True)
new_rst = os.path.join(_PROJECT_ROOT, target_dir, rel_rst)
if os.path.isfile(new_rst):
logging.warning(f"Page {new_rst} already exists in the local tree so it will be skipped.")
continue
shutil.copy(rst, new_rst)
if __name__ == "__main__":
import jsonargparse
jsonargparse.CLI(AssistantCLI, as_positional=False)
Reference in New Issue View Git Blame Copy Permalink