pytorch/tools/linter/clang_format_utils.py

import platform
import sys
import stat
import hashlib
import os
import urllib.request
import urllib.error

# String representing the host platform (e.g. Linux, Darwin).
HOST_PLATFORM = platform.system()

# PyTorch directory root, derived from the location of this file.
PYTORCH_ROOT = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))

# This dictionary maps each platform to the S3 object URL for its clang-format binary.
PLATFORM_TO_CF_URL = {
    "Darwin": "https://oss-clang-format.s3.us-east-2.amazonaws.com/mac/clang-format-mojave",
    "Linux": "https://oss-clang-format.s3.us-east-2.amazonaws.com/linux64/clang-format-linux64",
}

# This dictionary maps each platform to a relative path to a file containing its reference hash.
PLATFORM_TO_HASH = {
    "Darwin": os.path.join("tools", "clang_format_hash", "mac", "clang-format-mojave"),
    "Linux": os.path.join("tools", "clang_format_hash", "linux64", "clang-format-linux64"),
}

# Directory and file paths for the clang-format binary.
CLANG_FORMAT_DIR = os.path.join(PYTORCH_ROOT, ".clang-format-bin")
CLANG_FORMAT_PATH = os.path.join(CLANG_FORMAT_DIR, "clang-format")

def compute_file_sha256(path: str) -> str:
    """Compute the SHA256 hash of a file and return it as a hex string."""
    # If the file doesn't exist, return an empty string.
    if not os.path.exists(path):
        return ""

    hash = hashlib.sha256()

    # Open the file in binary mode and hash it.
    with open(path, "rb") as f:
        for b in f:
            hash.update(b)

    # Return the hash as a hexadecimal string.
    return hash.hexdigest()


def report_download_progress(chunk_number: int, chunk_size: int, file_size: int) -> None:
    """
    Pretty printer for file download progress.
    """
    if file_size != -1:
        percent = min(1, (chunk_number * chunk_size) / file_size)
        bar = "#" * int(64 * percent)
        sys.stdout.write("\r0% |{:<64}| {}%".format(bar, int(percent * 100)))


def download_clang_format(path: str) -> bool:
    """
    Downloads a clang-format binary appropriate for the host platform and stores it at the given location.
    """
    if HOST_PLATFORM not in PLATFORM_TO_CF_URL:
        print("Unsupported platform: {}".format(HOST_PLATFORM))
        return False

    cf_url = PLATFORM_TO_CF_URL[HOST_PLATFORM]
    filename = os.path.join(path, "clang-format")

    # Try to download clang-format.
    print("Downloading clang-format to {}".format(path))
    try:
        urllib.request.urlretrieve(
            cf_url, filename, reporthook=report_download_progress if sys.stdout.isatty() else None
        )
    except urllib.error.URLError as e:
        print("Error downloading {}: {}".format(filename, str(e)))
        return False
    finally:
        print()

    return True


def get_and_check_clang_format(verbose: bool = False) -> bool:
    """
    Download a platform-appropriate clang-format binary if one doesn't already exist at the expected location and verify
    that it is the right binary by checking its SHA256 hash against the expected hash.
    """
    if not os.path.exists(CLANG_FORMAT_DIR):
        # If the directory doesn't exist, try to create it.
        try:
            os.mkdir(CLANG_FORMAT_DIR)
        except OSError as e:
            print("Unable to create directory for clang-format binary: {}".format(CLANG_FORMAT_DIR))
            return False
        finally:
            if verbose:
                print("Created directory {} for clang-format binary".format(CLANG_FORMAT_DIR))

        # If the directory didn't exist, neither did the binary, so download it.
        ok = download_clang_format(CLANG_FORMAT_DIR)

        if not ok:
            return False
    else:
        # If the directory exists but the binary doesn't, download it.
        if not os.path.exists(CLANG_FORMAT_PATH):
            ok = download_clang_format(CLANG_FORMAT_DIR)

            if not ok:
                return False
        else:
            if verbose:
                print("Found pre-existing clang-format binary, skipping download")

    # Now that the binary is where it should be, hash it.
    actual_bin_hash = compute_file_sha256(CLANG_FORMAT_PATH)

    # If the host platform is not in PLATFORM_TO_HASH, it is unsupported.
    if HOST_PLATFORM not in PLATFORM_TO_HASH:
        print("Unsupported platform: {}".format(HOST_PLATFORM))
        return False

    # This is the path to the file containing the reference hash.
    hashpath = os.path.join(PYTORCH_ROOT, PLATFORM_TO_HASH[HOST_PLATFORM])

    if not os.path.exists(hashpath):
        print("Unable to find reference binary hash")
        return False

    # Load the reference hash and compare the actual hash to it.
    with open(hashpath, "r") as f:
        reference_bin_hash = f.readline().strip()

        if verbose:
            print("Reference Hash: {}".format(repr(reference_bin_hash)))
            print("Actual Hash: {}".format(repr(actual_bin_hash)))

        if reference_bin_hash != actual_bin_hash:
            print("The downloaded binary is not what was expected!")

            # Err on the side of caution and try to delete the downloaded binary.
            try:
                os.unlink(CLANG_FORMAT_PATH)
                print("The binary has been deleted just to be safe")
            except OSError as e:
                print("Failed to delete binary: {}".format(str(e)))
                print("Delete this binary as soon as possible and do not execute it!")

            return False
        else:
            # Make sure the binary is executable.
            mode = os.stat(CLANG_FORMAT_PATH).st_mode
            mode |= stat.S_IXUSR
            os.chmod(CLANG_FORMAT_PATH, mode)
            print("Using clang-format located at {}".format(CLANG_FORMAT_PATH))

    return True