# Copyright (C) 2021-2022 The Software Heritage developers
# See the AUTHORS file at the top-level directory of this distribution
# License: GNU General Public License version 3, or any later version
# See top-level LICENSE file for more information
"""
Luigi tasks for blob-centric datasets
=====================================
This module contains `Luigi <https://luigi.readthedocs.io/>`_ tasks
driving the creation of derived datasets centered around a subset of
content objects in the graph. Currently, this means:
* the `license dataset <https://annex.softwareheritage.org/public/dataset/license-blobs/>`_, and
* the `citation dataset <https://annex.softwareheritage.org/public/dataset/citation-blobs/>`_
File layout
-----------
This assumes a local compressed graph (from :mod:`swh.graph.luigi.compressed_graph`)
is present, and generates/manipulates the following files::
base_dir/
<date>[_<flavor>]/
citation-blobs/
blobs-earliest.csv.zst
blobs-fileinfo.csv.zst
blobs-nb-origins.csv.zst
blobs-origins.csv.zst
blobs-sample20k.tar.zst
blobs.tar.zst
import-dataset.sql
license-blobs.csv.zst
license-blobs/
<same as above, plus these two:>
blobs-scancode.csv.zst
blobs-scancode.ndjson.zst
"""
# WARNING: do not import unnecessary things here to keep cli startup time under
# control
import contextlib
import functools
import hashlib
import logging
import os
from pathlib import Path
from typing import (
TYPE_CHECKING,
Any,
Callable,
ContextManager,
Dict,
Iterable,
Iterator,
List,
Optional,
Set,
Tuple,
TypeVar,
cast,
)
import luigi
from swh.dataset.luigi import Format, LocalExport
if TYPE_CHECKING:
import asyncio
import magic
from requests import Session
from swh.graph.grpc.swhgraph_pb2_grpc import TraversalServiceStub
def _s3_url_to_bucket_path(s3_url: str) -> Tuple[str, str]:
loc = _removeprefix(s3_url, "s3://")
bucket, path = loc.split("/", 1)
return bucket, path
# XXX in wait of Python 3.9 for PER 616...
def _removeprefix(s, prefix):
if s.startswith(prefix):
return s[len(prefix) :]
logger = logging.getLogger(__name__)
COMPRESS_LEVEL = 19
GRAPH_REQUEST_CONCURRENCY = 70
EMPTY_FILE_SHA1 = "da39a3ee5e6b4b0d3255bfef95601890afd80709"
SELECTION_QUERIES = {
"citation": r"""
SELECT
concat('swh:1:cnt:', t1.target) AS swhid,
t2.sha1 AS sha1,
t1.filename AS name
FROM (
SELECT DISTINCT target, lower(trim(TRY_CAST(name AS VARCHAR))) AS filename
FROM directory_entry
WHERE (
type='file'
AND (
lower(trim(TRY_CAST(name AS VARCHAR))) = 'codemeta.json'
OR lower(trim(TRY_CAST(name AS VARCHAR))) = 'citation.cff'
)
)
) AS t1
LEFT JOIN (SELECT sha1,sha1_git FROM content) AS t2
ON (t1.target=t2.sha1_git)
ORDER BY sha1
""",
"license": r"""
SELECT
concat('swh:1:cnt:', t1.target) AS swhid,
t2.sha1 AS sha1,
t1.filename AS name
FROM (
SELECT DISTINCT target, lower(trim(TRY_CAST(name AS VARCHAR))) AS filename
FROM directory_entry
WHERE (
type = 'file' AND
-- TODO: replace not(empty(regexp_match())) with regexp_find()
not(empty(regexp_match(
lower(TRY_CAST(name AS VARCHAR)),
'^([a-z0-9._-]+\.)?(copying|licen(c|s)(e|ing)|notice|copyright|disclaimer|authors)(\.[a-z0-9\._-]+)?$'
)))
)
) AS t1
LEFT JOIN (SELECT sha1,sha1_git FROM content) AS t2
ON (t1.target=t2.sha1_git)
ORDER BY sha1
""",
"readme": r"""
SELECT
concat('swh:1:cnt:', t1.target) AS swhid,
t2.sha1 AS sha1,
t1.filename AS name
FROM (
SELECT DISTINCT target, lower(trim(TRY_CAST(name AS VARCHAR))) AS filename
FROM directory_entry
WHERE (
type = 'file' AND
-- TODO: replace not(empty(regexp_match())) with regexp_find()
not(empty(regexp_match(
lower(TRY_CAST(name AS VARCHAR)),
'^(readme)(\.[a-z0-9\._-]+)?$'
)))
)
) AS t1
LEFT JOIN (SELECT sha1,sha1_git FROM content) AS t2
ON (t1.target=t2.sha1_git)
ORDER BY sha1
""",
"known_swhids": r"""
SELECT
concat('swh:1:cnt:', content.sha1_git) AS swhid,
content.sha1 AS sha1,
'<unknown>' AS name
FROM swhids
INNER JOIN content
ON (swhids.swhid=concat('swh:1:cnt:', content.sha1_git))
ORDER BY sha1
""",
}
_mime_guesser = None
def _init_mime_guesser():
global _mime_guesser
if _mime_guesser is None:
import magic
_mime_guesser = magic.Magic(mime=True, mime_encoding=True)
return _mime_guesser
def _guess_mime(path: str) -> Tuple[str, str]:
_mime_guesser = _init_mime_guesser()
info = _mime_guesser.from_file(path)
mime_type, encoding = info.split()
mime_type, encoding = mime_type.rstrip(";"), _removeprefix(encoding, "charset=")
return (mime_type, encoding)
[docs]
@contextlib.contextmanager
def atomic_zstd_writer(result_path: Path):
"""Returns a file-like object, which writes to a temporary file,
then atomically renames it to the ``result_path`` on success."""
import pyzstd
tmp_result_path = Path(f"{result_path}.tmp")
try:
with pyzstd.open(
tmp_result_path, "wt", level_or_option=COMPRESS_LEVEL
) as output_fd:
yield output_fd
tmp_result_path.replace(result_path)
except BaseException:
tmp_result_path.unlink()
raise
[docs]
@contextlib.contextmanager
def atomic_csv_zstd_writer(result_path: Path):
"""Returns a ``csv.writer`` object, which writes to a temporary file,
then atomically renames it to the ``result_path`` on success."""
import csv
with atomic_zstd_writer(result_path) as output_fd:
yield csv.writer(output_fd, lineterminator="\n")
# luigi.Task with some helpers to get paths
class _BaseTask(luigi.Task):
blob_filter: str
derived_datasets_path: Path
previous_derived_datasets_path: Optional[Path]
def blob_count(self) -> int:
"""Returns the total number of selected blobs"""
with self.blob_count_path().open() as fd:
return int(fd.read().strip())
def blob_size(self) -> int:
"""Returns the total size of selected blobs"""
with self.blob_size_path().open() as fd:
return int(fd.read().strip())
def blob_size_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "stats" / "size.txt"
def blob_count_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "stats" / "count.txt"
def blob_dir(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "blobs"
def blob_list_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "blobs.csv.zst"
def blob_tarball_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "blobs.tar.zst"
def previous_blob_tarball_path(self) -> Optional[Path]:
if self.previous_derived_datasets_path:
return (
self.previous_derived_datasets_path / self.blob_filter / "blobs.tar.zst"
)
else:
return None
def sample_blob_tarball_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "blobs-sample20k.tar.zst"
def iter_blobs(
self, *, unique_sha1: bool, with_tqdm: bool = True
) -> Iterator[Tuple[str, str, str]]:
"""Yields ``(swhid, sha1, name)`` by reading :file:`blobs.csv.zst`,
and uses tqdm for progress report.
If ``unique_sha1`` is True, skips all but the first occurrence of each sha1."""
import csv
import pyzstd
import tqdm
last_sha1 = "" * 20
with pyzstd.open(self.blob_list_path(), "rt") as fd:
reader = csv.reader(cast(Iterator[str], fd))
header = next(reader)
if header != ["swhid", "sha1", "name"]:
raise ValueError(
"Unexpected header in %s: %r", self.blob_list_path(), header
)
rows_it: Iterable[List[str]] = reader
if with_tqdm:
rows_it = tqdm.tqdm(rows_it, total=self.blob_count())
for row in rows_it:
try:
(swhid, sha1, name) = row
except ValueError:
raise ValueError(f"Unexpected row: {row!r}") from None
if sha1 < last_sha1:
raise ValueError(f"Not sorted by sha1 ({last_sha1} before {sha1}")
if not unique_sha1 or sha1 != last_sha1:
yield tuple(row) # type: ignore[misc]
last_sha1 = sha1
def blob_paths(self, sha1: str) -> Tuple[Path, Path]:
"""Returns ``(sharded_path, unsharded_path)``, which are the two possible
paths for this blob, depending on the blob dir layout."""
sharded_path = self.blob_dir() / sha1[0:2] / sha1[2:4] / sha1
unsharded_path = self.blob_dir() / sha1
return (sharded_path, unsharded_path)
def complete(self) -> bool:
if not super().complete():
return False
for target in self.output():
output_path = target.path
if output_path.endswith(".csv.zst"):
check_csv(Path(output_path))
return True
_TCallable = TypeVar("_TCallable", bound=Callable)
def _log_exceptions(f: _TCallable) -> _TCallable:
"""Decorator for functions called by asyncio that would never be awaited if they
crashed, causing asyncio to silently hide the exception."""
@functools.wraps(f)
def newf(*args, **kwargs):
try:
return f(*args, **kwargs)
except BaseException:
logger.exception(
"Error while calling %s with %r and %r", f.__name__, args, kwargs
)
raise
return newf # type: ignore[return-value]
class _ConcurrentCsvWritingTask(_BaseTask):
"""Base classes for tasks writing a CSV using asyncio.
asyncio is only used for gRPC requires to swh-graph; file writes are synchronous
to keep the code simpler, as performance improvements from making them async
would be negligeable."""
CSV_HEADER: Tuple[str, str]
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
grpc_api = luigi.Parameter()
stub: "TraversalServiceStub"
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`SelectBlobs`"""
return SelectBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
def run(self) -> None:
"""Calls the :meth:`process_one` function, and writes its results as
a two-column CSV to the target defined by :meth:`output`.
"""
import asyncio
asyncio.run(self._run_async())
async def _run_async(self) -> None:
import asyncio
import grpc.aio
import swh.graph.grpc.swhgraph_pb2_grpc as swhgraph_grpc
input_queue: asyncio.Queue[Tuple[str, str, str]] = asyncio.Queue(maxsize=20)
result_queue: asyncio.Queue[Tuple[str, str]] = asyncio.Queue(maxsize=20)
async with grpc.aio.insecure_channel(self.grpc_api) as channel:
self.stub = swhgraph_grpc.TraversalServiceStub(channel)
fill_queue_task = asyncio.create_task(self._fill_input_queue(input_queue))
write_task = asyncio.create_task(self._write_results(result_queue))
worker_tasks = [
asyncio.create_task(self._worker(input_queue, result_queue))
for _ in range(GRAPH_REQUEST_CONCURRENCY)
]
await write_task # wait for workers to write everything
await fill_queue_task # should be instant
for task in worker_tasks:
task.cancel()
await asyncio.gather(
fill_queue_task,
write_task,
*worker_tasks,
return_exceptions=True,
)
@_log_exceptions
async def _fill_input_queue(
self, input_queue: "asyncio.Queue[Tuple[str, str, str]]"
) -> None:
for swhid, sha1, name in self.iter_blobs(with_tqdm=False, unique_sha1=True):
if not swhid.startswith("swh:1:"):
raise ValueError(f"Invalid SWHID: {swhid}")
await input_queue.put((swhid, sha1, name))
@_log_exceptions
async def _worker(
self,
input_queue: "asyncio.Queue[Tuple[str, str, str]]",
result_queue: "asyncio.Queue[Tuple[str, str]]",
) -> None:
while True: # exit via Task.cancel()
row = await input_queue.get()
(swhid, sha1, name) = row
try:
res = await self.process_one(row)
except BaseException as e:
res = (swhid, "")
logger.exception("Error while processing %r", row)
if not isinstance(e, Exception):
# KeyboardInterrupt, ...
raise
await result_queue.put(res)
async def _write_results(
self, result_queue: "asyncio.Queue[Tuple[str, str]]"
) -> None:
import tqdm.asyncio
(target,) = self.output()
result_path = Path(target.path)
with atomic_csv_zstd_writer(result_path) as writer:
writer.writerow(self.CSV_HEADER)
async for i in tqdm.asyncio.trange(self.blob_count()):
(swhid, result) = await result_queue.get()
writer.writerow((swhid, result))
[docs]
def check_csv(csv_path: Path) -> None:
import re
import pyzstd
with cast(ContextManager[Iterator[str]], pyzstd.open(csv_path, "rt")) as fd:
try:
header = next(fd)
except StopIteration:
raise ValueError(f"{csv_path} is empty") from None
except pyzstd.ZstdError:
raise ValueError(f"{csv_path} could not be decompressed as zstd") from None
# check the header contains no whitespace
if len(header.split()) != 1:
raise ValueError(
f"{csv_path.name} is not comma-separated "
f"(or has whitespaces in column name)"
)
columns = header.split(",")
if columns[0] != "swhid":
raise ValueError(
f"First column of {csv_path.name} is {columns[0]!r} "
f"but should be 'swhid'"
)
try:
first_line = next(fd)
except StopIteration:
raise ValueError(f"{csv_path} has no content") from None
if not re.match("^swh:1:cnt:[0-9a-f]{40},", first_line):
raise ValueError(f"{csv_path} has unexpected first row: {first_line}")
[docs]
class SelectBlobs(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
local_export_path = luigi.PathParameter()
derived_datasets_path = luigi.PathParameter()
known_swhids_csv = luigi.Parameter(default="")
[docs]
def requires(self) -> List[luigi.Task]:
"""Returns an instance of :class:`LocalExport`"""
return [
LocalExport(
local_export_path=self.local_export_path,
formats=[Format.orc], # type: ignore[attr-defined]
),
]
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs.csv.zst` and :file:`stats/count.txt` in
``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(self.blob_list_path()),
luigi.LocalTarget(self.blob_count_path()),
]
[docs]
def run(self) -> None:
"""Runs an Athena query to get the list of blobs and writes it to
:file:`blobs.csv.zst`."""
import tempfile
import textwrap
import datafusion
import pyarrow.dataset
from ..shell import AtomicFileSink, Command
ctx = datafusion.SessionContext()
for table in ("directory_entry", "content"):
ctx.register_dataset(
table,
pyarrow.dataset.dataset(
self.local_export_path / "orc" / table, format="orc"
),
)
if self.blob_filter == "known_swhids":
assert self.known_swhids_csv, "Missing --SelectBlobs-known-swhids-csv"
ctx.sql(
f"""
CREATE EXTERNAL TABLE swhids (
swhid VARCHAR NOT NULL
)
STORED AS CSV
LOCATION '{self.known_swhids_csv}'
OPTIONS (
'has_header' 'true',
'format.compression' 'zstd',
);
"""
)
with tempfile.NamedTemporaryFile(suffix=".csv") as sql_res:
logger.info("Running query...")
query = f"""
COPY ({SELECTION_QUERIES[self.blob_filter]})
TO '{sql_res.name}'
OPTIONS (
'has_header' 'true'
)
"""
logger.debug("%s", textwrap.indent(query, " "))
df = ctx.sql(query)
logger.info("Reformatting...")
columns = df.schema().names
assert columns == ["swhid", "sha1", "name"], columns
output_path = self.blob_list_path()
output_path.parent.mkdir(parents=True, exist_ok=True)
df.cache()
# In the 2022-04-24 license dataset, the 'egrep' command filters
# just 5 entries:
#
# $ egrep -v '^"[^"]*","[^"]*","[^"]*"$' license-blobs.csv
# "swh:1:cnt:03e1933241b8c3878d81c0184d7f2fd3d8cd6185","037d40bc6bcb42dfd740be545dbdf2df3405442f","LICENSE
# "
# "swh:1:cnt:65a5c662900ee946583147129720563fd4ba286d","40e9258799f752fe25d7518155c615c1c497b7ac","LICENSE.md
# "
# "swh:1:cnt:8751b326784c7e145b242637866a4d46e8e274a5","a6bad643d9defc1e667c708d0d9aa9f1d6752fbc","LICENSE
# "
# "swh:1:cnt:e69de29bb2d1d6434b8b29ae775ad8c2e48c5391","da39a3ee5e6b4b0d3255bfef95601890afd80709","license.txt
# "
# "swh:1:cnt:82714d7648eb4f6cda2ed88fc4768e7d05472fe6","f096063880f4d0329856d3fca51c6d8afa13af9b","LICENSE.txt
# "
# fmt: off
(
Command.pv(sql_res.name)
| Command.egrep('^[^,]*,[^,]*,[^,]*$')
| Command.zstdmt("-")
> AtomicFileSink(output_path)
).run()
# fmt: on
logger.info("Counting...")
count = sum(1 for _ in self.iter_blobs(with_tqdm=False, unique_sha1=True))
self.blob_count_path().parent.mkdir(exist_ok=True, parents=True)
with self.blob_count_path().open("wt") as fd:
fd.write(f"{count}\n")
[docs]
class DownloadBlobs(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
previous_derived_datasets_path = luigi.OptionalPathParameter(default=None)
parallel_downloads = luigi.IntParameter(default=10, significant=False)
download_url = luigi.Parameter(
default="https://softwareheritage.s3.amazonaws.com/content/{sha1}",
description="""Where to download blobs from. {sha1} will be replaced by
the file's SHA1 hexdigest. Alternative value:
https://archive.softwareheritage.org/api/1/content/sha1:{sha1}/raw/""",
significant=False,
)
decompression_algo = luigi.ChoiceParameter(
choices=["none", "gzip"],
default="gzip",
description="""The decompression algorithm to use after downloading.
Defaults to 'none' to match the SWH API. Should be 'none' when downloading from
archive.softwareheritage.org""",
)
_session = None
_session_pid = None
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`SelectBlobs`"""
return SelectBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`stats/size.txt` in ``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(self.blob_dir()),
luigi.LocalTarget(self.blob_size_path()),
]
@classmethod
def _compute_sha1(cls, path: Path) -> str:
with path.open("rb") as fd:
h = hashlib.sha1()
while True:
data = fd.read(40960)
if not data:
break
h.update(data)
return h.hexdigest()
def _download_blob(self, session: "Session", path: Path, sha1: str) -> int:
"""Returns the size in bytes."""
import shutil
import time
import requests
while True:
url = self.download_url.format(sha1=sha1)
try:
resp = session.get(url, stream=True)
except requests.exceptions.ConnectionError:
logger.exception("Failed to query %s, retrying in 10 seconds:", url)
time.sleep(10)
continue
if resp.status_code == 429:
rate_limit_reset = int(resp.headers["X-RateLimit-Reset"])
wait_seconds = max(10, rate_limit_reset - time.time())
logger.warning("Waiting timeout for %d seconds", wait_seconds)
time.sleep(wait_seconds)
continue
elif 500 <= resp.status_code < 600:
logger.warning("Got %d error, retrying in 10 seconds", resp.status_code)
time.sleep(10)
elif resp.status_code == 200:
break
elif resp.status_code == 404:
logger.error("%s returned 404", url)
return 0
else:
msg = f"Unexpected status code: {resp.status_code}"
logger.error(msg)
logger.error(resp.text)
raise Exception(msg)
tmp_path = path.parent / f".tmp_{sha1}"
if self.decompression_algo == "none":
with tmp_path.open("wb") as fd:
for chunk in resp.iter_content(chunk_size=40960):
fd.write(chunk)
elif self.decompression_algo == "gzip":
import gzip
if not hasattr(gzip, "BadGzipFile"):
# Python < 3.8
BadGzipFile = OSError
else:
BadGzipFile = gzip.BadGzipFile
try:
with gzip.open(resp.raw, "rb") as compressed_fd:
with tmp_path.open("wb") as decompressed_fd:
shutil.copyfileobj(compressed_fd, decompressed_fd)
except BadGzipFile as e:
if e.args[0] == r"Not a gzipped file (b'\x00\x00')":
# WTF? https://gitlab.softwareheritage.org/swh/meta/-/issues/5034
print(f"{sha1} has null bytes instead of magic value")
return 0
else:
raise
else:
assert False, f"Unexpected decompression algo: {self.decompression_algo}"
if self._compute_sha1(tmp_path) != sha1:
if tmp_path.stat().st_size == 0 and sha1 != EMPTY_FILE_SHA1:
msg = f"Blob downloaded to {tmp_path} is empty"
else:
msg = f"Blob downloaded to {tmp_path} does not match its checksum"
logger.error(msg)
raise Exception(msg)
# Atomically write to destination
tmp_path.rename(path)
return path.stat().st_size
def _download_blob_if_missing(self, session: "Session", sha1: str) -> int:
"""Returns the size in bytes."""
assert set(sha1) <= set("0123456789abcdef"), sha1
assert len(sha1) == 40, sha1
(sharded_path, unsharded_path) = self.blob_paths(sha1)
for path in (sharded_path, unsharded_path):
if path.exists():
if self._compute_sha1(path) != sha1:
msg = f"Existing blob at {path} does not match its checksum"
logger.error(msg)
raise Exception(msg)
logger.debug("Skipping %s, already exists", sha1)
return path.stat().st_size
else:
logger.debug("Downloading %s", sha1)
return self._download_blob(session, sharded_path, sha1)
[docs]
def run(self) -> None:
"""Reads file SHA1 hashes from :file:`blobs.csv.zst` and downloads them
to :file:`blobs/`."""
import multiprocessing
import multiprocessing.dummy
import tqdm
from ..shell import Command
# Create sharded directories for the blobs
for i in range(256):
for j in range(256):
(self.blob_dir() / f"{i:02x}" / f"{j:02x}").mkdir(
exist_ok=True, parents=True
)
previous_blob_tarball_path = self.previous_blob_tarball_path()
if previous_blob_tarball_path:
# reuse blobs from a previous version of the dataset, so we don't have
# to download them one by one
print(f"Unpacking previous blobs from {previous_blob_tarball_path}")
# fmt: off
(
Command.pv(previous_blob_tarball_path)
| Command.zstdcat()
| Command.tar("-x", "-C", self.blob_dir().parent) # tar root is blobs/
).run()
# fmt: on
print("Done unpacking")
total_size = 0
# Use a thread pool (more efficient because no IPC) if there is no compression
# (because then it's IO bound), and a process pool when there is (it would
# be single-thread CPU bound otherwise)
Pool = multiprocessing.Pool
if self.decompression_algo == "none":
Pool = multiprocessing.dummy.Pool # type: ignore[assignment]
with Pool(self.parallel_downloads) as pool:
for size in tqdm.tqdm(
pool.imap_unordered(
self._worker,
self.iter_blobs(unique_sha1=True, with_tqdm=False),
chunksize=100,
),
total=self.blob_count(),
):
total_size += size
with self.blob_size_path().open("wt") as fd:
fd.write(f"{total_size}\n")
[docs]
def session(self):
if self._session_pid != os.getpid():
# we forked; create a new session for this process
import requests
self._session_pid = os.getpid()
self._session = requests.Session()
self._session.headers["User-Agent"] = (
f"SWH {self.blob_filter} Dataset blob downloader"
)
auth_token = os.environ.get("SWH_AUTH_TOKEN")
if auth_token:
self._session.headers["Authorization"] = f"Bearer {auth_token}"
return self._session
def _worker(self, args):
(swhid, sha1, name) = args
return self._download_blob_if_missing(self.session(), sha1)
[docs]
class MakeBlobTarball(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`DownloadBlobs`"""
return DownloadBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs.tar.zst` in ``self.derived_datasets_path / self.blob_filter``"""
return [luigi.LocalTarget(self.blob_tarball_path())]
[docs]
def run(self) -> None:
"""Run task."""
from ..shell import AtomicFileSink, Command
approx_tarball_size = (
self.blob_size() # the content itself
+ 512 * self.blob_count() # assuming one header per file
)
cwd = self.derived_datasets_path / self.blob_filter
# fmt: off
(
Command.tar("-c", "--sort=name", "blobs/", cwd=cwd)
| Command.pv("--size", str(approx_tarball_size))
| Command.zstdmt(f"-{COMPRESS_LEVEL}")
> AtomicFileSink(self.blob_tarball_path())
).run()
# fmt: on
[docs]
class MakeSampleBlobTarball(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`DownloadBlobs`"""
return DownloadBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs.tar.zst` in ``self.derived_datasets_path / self.blob_filter``"""
return [luigi.LocalTarget(self.sample_blob_tarball_path())]
[docs]
def run(self) -> None:
"""Selects a sample of 20k random blobs and puts them in a tarball."""
from ..shell import AtomicFileSink, Command
cwd = self.derived_datasets_path / self.blob_filter
# fmt: off
(
Command.zstdcat(self.blob_list_path())
| Command.tail("-n", "+2")
| Command.cut("-d", ",", "-f", "2")
| Command.uniq()
| Command.shuf("--head-count=20000")
| Command.sort()
| Command.sed(r"s#\(\(..\)\(..\)\(..*\)\)#blobs/\2/\3/\1#")
| Command.tar(
"-c",
"--files-from=/dev/stdin",
"--transform=s/^blobs/blobs-sample20k/",
cwd=cwd
)
| Command.zstdmt(f"-{COMPRESS_LEVEL}")
> AtomicFileSink(self.sample_blob_tarball_path())
).run()
# fmt: on
[docs]
class ComputeBlobFileinfo(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
CSV_HEADER = (
"swhid",
"mime_type",
"encoding",
"line_count",
"word_count",
"size",
)
READABLE_ENCODINGS = ("us-ascii", "utf-8", "iso-8859-1")
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`DownloadBlobs`"""
return DownloadBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs-fileinfo.csv.zst` in
``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(
self.derived_datasets_path / self.blob_filter / "blobs-fileinfo.csv.zst"
)
]
[docs]
def run(self) -> None:
"""Run task."""
import multiprocessing
import tqdm
with atomic_csv_zstd_writer(self.output()[0].path) as writer:
writer.writerow(self.CSV_HEADER)
with multiprocessing.Pool() as pool:
# imap instead of imap_unordered, to preserve sha1 order of blobs
for row in tqdm.tqdm(
pool.imap(
self._analyze_blob,
self.iter_blobs(unique_sha1=True, with_tqdm=False),
),
total=self.blob_count(),
):
writer.writerow(row)
def _analyze_blob(self, row) -> Tuple[str, str, str, str, str, str]:
(swhid, sha1, name) = row
(path, _) = self.blob_paths(sha1)
assert path.exists(), f"{path} does not exist"
size = path.stat().st_size
mime_type, encoding = _guess_mime(str(path))
line_count, word_count = None, None
if mime_type == "text/plain" and encoding in self.READABLE_ENCODINGS:
line_count = 0
word_count = 0
try:
with open(path, encoding="utf8") as f:
for line in f:
line_count += 1
word_count += len(line.rstrip().split())
except UnicodeDecodeError:
line_count = None
word_count = None
return (
swhid,
mime_type,
encoding,
str(line_count) if line_count is not None else "",
str(word_count) if word_count is not None else "",
str(size), # byte count
)
[docs]
class BlobScancode(_BaseTask):
"""Runs scancode-toolkit on the blob dataset"""
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
FIELDNAMES = [
"swhid",
"license",
"score",
]
DEFAULT_MIN_SCORE = 0
DEFAULT_JOBS = 1
DEFAULT_TIMEOUT = 120
MAP_CHUNKSIZE = 1
WORKER_MAX_TASKS = 1000 # to workaround Scancode get_licenses() memory leaks
FIELD_SEP = ","
READABLE_ENCODINGS = ("us-ascii", "utf-8", "iso-8859-1")
def __init__(self, *args, **kwargs) -> None:
super().__init__(*args, **kwargs)
self.mime_guesser: Optional[magic.Magic] = None # set in child processes
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`DownloadBlobs`"""
return DownloadBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
def _csv_path(self) -> Path:
return self.derived_datasets_path / self.blob_filter / "blobs-scancode.csv.zst"
def _json_path(self) -> Path:
return (
self.derived_datasets_path / self.blob_filter / "blobs-scancode.ndjson.zst"
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs-scancode.csv.zst` and :file:`blobs-scancode.ndjson.zst` in
``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(self._csv_path()),
luigi.LocalTarget(self._json_path()),
]
def _detect_licenses(self, row) -> Tuple[Set[Tuple[str, str, float]], str]:
import json
import time
# needs to be initialized before importing scancode:
# https://github.com/nexB/scancode-plugins/issues/30
_init_mime_guesser()
from scancode.api import get_copyrights, get_licenses
(swhid, sha1, name) = row
(path, _) = self.blob_paths(sha1)
assert path.exists(), f"{path} does not exist"
mime_type, encoding = _guess_mime(str(path))
license_rows = set()
res: Dict[str, Any] = {"swhid": swhid}
if mime_type == "text/plain" and encoding in self.READABLE_ENCODINGS:
deadline = time.time() + self.DEFAULT_TIMEOUT
res["licenses"] = get_licenses(
str(path), min_score=self.DEFAULT_MIN_SCORE, deadline=deadline
)
license_rows = {
(
swhid,
lic["spdx_license_key"],
lic["score"],
)
for lic in res["licenses"]["licenses"]
}
res["copyrights"] = get_copyrights(str(path))
return (license_rows, json.dumps(res))
[docs]
def run(self) -> None:
"""Detect license(s) of license blobs located under blob_dir using scancode.
Save frequencies to csv_outfile in a 3-column (sha1, license, score) CSV format.
"""
import csv
import multiprocessing
import multiprocessing.pool
import tqdm
# ensure clean slate
if self._csv_path().exists():
self._csv_path().unlink()
if self._json_path().exists():
self._json_path().unlink()
context = multiprocessing.get_context(method="spawn")
with (
atomic_zstd_writer(self._csv_path()) as csvfile,
atomic_zstd_writer(self._json_path()) as jsonfile,
):
csv_writer = csv.writer(csvfile, delimiter=self.FIELD_SEP)
csv_writer.writerow(self.FIELDNAMES)
with multiprocessing.pool.Pool(
maxtasksperchild=self.WORKER_MAX_TASKS,
context=context,
) as pool:
for license_rows, results in tqdm.tqdm(
pool.imap_unordered(
self._detect_licenses,
self.iter_blobs(unique_sha1=True, with_tqdm=False),
chunksize=self.MAP_CHUNKSIZE,
),
total=self.blob_count(),
):
# each detect() call can return multiple licenses, flatten them
for sha1, license, score in license_rows:
csv_writer.writerow([sha1, license, str(score)])
assert "\n" not in results
jsonfile.write(results + "\n")
print("Done")
[docs]
class FindBlobOrigins(_ConcurrentCsvWritingTask):
previous_derived_datasets_path = luigi.OptionalPathParameter(default=None)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs.tar.zst` in ``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(
self.derived_datasets_path / self.blob_filter / "blobs-origins.csv.zst"
)
]
CSV_HEADER = ("swhid", "origin_url")
[docs]
async def process_one(self, row: Tuple[str, str, str]) -> Tuple[str, str]:
from google.protobuf.field_mask_pb2 import FieldMask
import swh.graph.grpc.swhgraph_pb2 as swhgraph
(swhid, sha1, name) = row
if not swhid.startswith("swh:1:"):
raise ValueError(f"Invalid SWHID: {swhid}")
# If we are running incrementally, skip the request
origin_url = self.existing_swhids.get(swhid)
if not origin_url:
response = self.stub.Traverse(
swhgraph.TraversalRequest(
src=[swhid],
direction=swhgraph.GraphDirection.BACKWARD,
mask=FieldMask(paths=["swhid", "ori.url"]),
return_nodes=swhgraph.NodeFilter(
types="ori", # return only origins...
),
max_matching_nodes=1, # return at most one
)
)
async for item in response:
origin_url = item.ori.url
if origin_url:
break
else:
print(f"{item.swhid} does not have an associated URL")
else:
# no origin found
origin_url = ""
assert origin_url is not None
return (swhid, origin_url)
[docs]
def run(self) -> None:
import pyzstd
self.existing_swhids: Dict[str, str] = {}
if self.previous_derived_datasets_path:
separator = "," # or "\t" for datasets before 2022-12-07
# reuse blobs from a previous version of the dataset, so we don't have
# to recompute them all
path = (
self.previous_derived_datasets_path
/ self.blob_filter
/ "blobs-origins.csv.zst"
)
with pyzstd.open(path, "rt") as fd:
self.existing_swhids = dict(
line.strip().split(separator)
for line in cast(Iterable[str], fd)
if line[-2] != separator
)
super().run()
[docs]
class CountBlobOrigins(_ConcurrentCsvWritingTask):
CSV_HEADER = ("swhid", "origin_count")
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs.tar.zst` in ``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(
self.derived_datasets_path
/ self.blob_filter
/ "blobs-nb-origins.csv.zst"
)
]
[docs]
async def process_one(self, row: Tuple[str, str, str]) -> Tuple[str, str]:
from google.protobuf.field_mask_pb2 import FieldMask
import swh.graph.grpc.swhgraph_pb2 as swhgraph
(swhid, sha1, name) = row
if not swhid.startswith("swh:1:"):
raise ValueError(f"Invalid SWHID: {swhid}")
response = await self.stub.CountNodes(
swhgraph.TraversalRequest(
src=[swhid],
direction=swhgraph.GraphDirection.BACKWARD,
mask=FieldMask(paths=["url"]),
return_nodes=swhgraph.NodeFilter(
types="ori", # count only origins
),
)
)
return (swhid, response.count)
[docs]
class FindEarliestRevisions(_BaseTask):
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
local_graph_path = luigi.PathParameter()
graph_name = luigi.Parameter(default="graph")
[docs]
def requires(self) -> luigi.Task:
"""Returns an instance of :class:`SelectBlobs`"""
return SelectBlobs(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
[docs]
def output(self) -> List[luigi.Target]:
""":file:`blobs-earliest.csv.zst` in
``self.derived_datasets_path / self.blob_filter``"""
return [
luigi.LocalTarget(
self.derived_datasets_path / self.blob_filter / "blobs-earliest.csv.zst"
)
]
[docs]
def run(self) -> None:
"""Run task."""
from ..shell import AtomicFileSink, Command, Rust
# fmt: off
(
Command.zstdcat(self.blob_list_path())
| Command.sed("s/,.*//")
| Command.uniq()
| Rust(
"find-earliest-revision",
self.local_graph_path / self.graph_name,
)
| Command.pv("--wait", "--line-mode", "--size", str(self.blob_count()))
| Command.zstdmt(f"-{COMPRESS_LEVEL}")
> AtomicFileSink(self.output()[0])
).run()
# fmt: on
[docs]
class RunBlobDataset(luigi.Task):
"""Runs all tasks to build a blob dataset with the given filter."""
blob_filter = luigi.ChoiceParameter(choices=list(SELECTION_QUERIES))
derived_datasets_path = luigi.PathParameter()
[docs]
def requires(self) -> List[luigi.Task]:
"""Returns a list of task such that every task in this module are transitively
depended on."""
kwargs = dict(
blob_filter=self.blob_filter,
derived_datasets_path=self.derived_datasets_path,
)
tasks = [
DownloadBlobs(**kwargs),
MakeBlobTarball(**kwargs),
MakeSampleBlobTarball(**kwargs),
FindBlobOrigins(**kwargs),
CountBlobOrigins(**kwargs),
FindEarliestRevisions(**kwargs),
ComputeBlobFileinfo(**kwargs),
]
if self.blob_filter in ("citation", "readme", "known_swhids"):
pass
elif self.blob_filter == "license":
tasks.append(BlobScancode(**kwargs))
else:
raise ValueError(f"Unexpected blob filter: {self.blob_filter}")
return tasks
[docs]
def complete(self) -> bool:
"""Always returns False; status is checked by dependencies."""
return False
[docs]
def run(self):
"""Checks all files are in the correct format and contain a well-known SWHID"""
dir_path = self.derived_datasets_path / self.blob_filter
for csv_path in dir_path.glob("*.csv.zst"):
check_csv(csv_path)
if self.blob_filter == "license":
# Text of the GPLv3
swhid = "swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2"
expected_fileinfo = f"{swhid},text/plain,us-ascii,674,5644,35147\n"
min_expected_origins = 2_000_000
elif self.blob_filter == "citation":
# Codemeta's own codemeta.json
swhid = "swh:1:cnt:6daebd857f6f6a98dd9288ef7b942283f7fa4f0e"
expected_fileinfo = f"{swhid},application/json,us-ascii,,,7173\n"
min_expected_origins = 5
else:
assert False, f"Unexpected blob filter: {self.blob_filter}"
self._check_fileinfo(
swhid, expected_fileinfo, dir_path / "blobs-fileinfo.csv.zst"
)
if self.blob_filter == "license":
self._check_scancode(swhid, dir_path)
self._check_nb_origins(
swhid, min_expected_origins, dir_path / "blobs-nb-origins.csv.zst"
)
self._check_exactly_one_line(swhid, dir_path / "blobs-origins.csv.zst")
self._check_exactly_one_line(swhid, dir_path / "blobs-earliest.csv.zst")
def _check_fileinfo(self, swhid: str, expected_fileinfo: str, path: Path) -> None:
from ..shell import Command, Sink
# fmt: off
results = (
Command.zstdcat(path)
| Command.grep("^" + swhid)
> Sink()
).run()
# fmt: on
assert results.decode() == expected_fileinfo, f"Unexpected fileinfo for {swhid}"
def _check_scancode(self, swhid: str, dir_path: Path) -> None:
import json
from ..shell import Command, Sink
assert swhid == "swh:1:cnt:94a9ed024d3859793618152ea559a168bbcbb5e2"
# fmt: off
csv_results = (
Command.zstdcat(dir_path / "blobs-scancode.csv.zst")
| Command.grep("^" + swhid)
> Sink()
).run().decode()
# fmt: on
assert csv_results == (
f"{swhid},GPL-3.0-only,100.0\r\n"
), f"Unexpected scancode CSV for {swhid}: {csv_results!r}"
# fmt: off
json_results = (
Command.zstdcat(dir_path / "blobs-scancode.ndjson.zst")
| Command.grep(swhid)
> Sink()
).run().decode()
# fmt: on
assert (
json_results.count("\n") == 1
), f"Unexpectedly number of results for {swhid} in scancode NDJSON:\n{json_results}"
result = json.loads(json_results)
assert result["swhid"] == swhid, result
licenses = [license for license in result["licenses"]["licenses"]]
assert (
len(licenses) == 1
), f"Unexpected number of licenses for {swhid}: {licenses}"
assert licenses[0]["key"] == "gpl-3.0"
assert licenses[0]["score"] == 100.0
def _check_exactly_one_line(self, swhid: str, path: Path) -> None:
from ..shell import Command, Sink
# fmt: off
results = (
Command.zstdcat(path)
| Command.grep("^" + swhid)
> Sink()
).run()
# fmt: on
assert (
results.count(b"\n") == 1
), f"Unexpected number of line for {swhid} in {path}:\n{results}"
def _check_nb_origins(
self, swhid: str, min_expected_origins: int, path: Path
) -> None:
from ..shell import Command, Sink
# fmt: off
results = (
Command.zstdcat(path)
| Command.grep("^" + swhid)
> Sink()
).run().decode()
# fmt: on
assert (
results.count("\n") == 1
), f"Unexpected number of origin counts for {swhid}:\n{results}"
count = int(results.split("\n")[0].split(",")[1])
assert (
min_expected_origins <= count <= 1_000_000_000
), f"Unexpected number of origins for {swhid}: {count}"
