def process(self, link: str, state: States) -> int:
"""
process Create Dataset records for pre-existing server tarballs that
are in a specified filesystem "state" (the link directory in the
archive tree), in a specified Dataset state.
Each tarball for which a Dataset record already exists is IGNORED,
and we don't attempt to advance the state.
Args:
:link (str): Filesystem "state" link directory
(e.g., TO-INDEX)
:state (States): A state enum value representing desired Dataset
state.
Returns:
int: Status (0 success, 1 failure)
"""
logger = self.logger
done = 0
fail = 0
ignore = 0
args = {}
owner = User.validate_user(self.options.user)
for tarball in self._collect_tb(link):
if self.options.verify:
print(f"Processing {tarball} from {link} -> state {state}")
try:
args["path"] = tarball
try:
dataset = Dataset.attach(**args)
if self.options.verify:
print(f"Found existing {dataset}: {dataset.state}")
ignore = ignore + 1
except DatasetNotFound:
a = args.copy()
a["md5"] = open(f"{tarball}.md5").read().split()[0]
# NOTE: including "state" on attach above would attempt to
# advance the dataset's state, which we don't want for
# import, so we add it only here. "owner" would be ignored
# by attach, but we add it here anyway for clarity.
a["state"] = state
a["owner"] = owner
dataset = Dataset.create(**a)
print(f"Imported {dataset}: {state}")
done = done + 1
except Exception as e:
# Stringify any exception and report it; then fail
logger.exception("Import of dataset {} failed", tarball)
print(f"{_NAME_}: dataset {tarball} failed with {e}", file=sys.stderr)
fail = fail + 1
print(
f"Imported {done} datasets from {link} with {fail} errors and {ignore} ignored"
)
return 1 if fail > 0 else 0
def test_metadata_remove(self):
""" Test that we can remove a Metadata key
"""
ds = Dataset.create(owner="user1",
controller="controller",
name="other")
assert ds.metadatas == []
m = Metadata(key=Metadata.ARCHIVED, value="TRUE")
m.add(ds)
assert ds.metadatas == [m]
Metadata.remove(ds, Metadata.ARCHIVED)
assert ds.metadatas == []
with pytest.raises(MetadataNotFound) as exc:
Metadata.get(ds, Metadata.ARCHIVED)
assert exc.value.dataset == ds
assert exc.value.key == Metadata.ARCHIVED
Metadata.remove(ds, Metadata.REINDEX)
assert ds.metadatas == []
def process_tb(config, logger, receive_dir, qdir_md5, duplicates, errors):
# Check for results that are ready for processing: version 002 agents
# upload the MD5 file as xxx.md5.check and they rename it to xxx.md5
# after they are done with MD5 checking so that's what we look for.
list_check = glob.glob(os.path.join(receive_dir, "**", "*.tar.xz.md5"),
recursive=True)
archive = config.ARCHIVE
logger.info("{}", config.TS)
list_check.sort()
nstatus = ""
ntotal = ntbs = nerrs = nquarantined = ndups = 0
for tbmd5 in list_check:
ntotal += 1
# full pathname of tarball
tb = Path(tbmd5[0:-4])
tbmd5 = Path(tbmd5)
# directory
tbdir = tb.parent
# resultname: get the basename foo.tar.xz and then strip the .tar.xz
resultname = tb.name
controller = tbdir.name
dest = archive / controller
# Create a new dataset tracker in UPLOADING state, and add it to the
# database.
#
# NOTE: Technically, this particular workflow has no "UPLOADING" as
# the `pbench-server-prep-shim-002` command isn't invoked until the
# tarball and MD5 has been entirely uploaded by the agent via `ssh`;
# this method however can't be supported once we have authorized user
# ownership, and the model fits the server `PUT` method where an
# unexpected termination could leave a tarball in "Uploading" state.
#
# TODO: We have no way to identify an owner here, so assign it to
# the arbitrary "pbench" user. This will go away when we drop this
# component entirely in favor of PUT.
try:
dataset = Dataset.create(controller=controller,
path=resultname,
owner="pbench")
except DatasetError as e:
logger.error("Unable to create dataset {}>{}: {}", controller,
resultname, str(e))
# TODO: Should we quarantine over this? Note it's not quite
# straightforward, as quarantine() expects that the Dataset has
# been created, so we'll get a cascade failure. Since prep-shim's
# days are numbered, I'm inclined not to worry about it here.
dataset = None
if all([(dest / resultname).is_file(), (dest / tbmd5.name).is_file()]):
logger.error("{}: Duplicate: {} duplicate name", config.TS, tb)
quarantine((duplicates / controller), logger, tb, tbmd5)
ndups += 1
continue
archive_tar_hex_value, archive_md5_hex_value = md5_check(
tb, tbmd5, logger)
if any([
archive_tar_hex_value != archive_md5_hex_value,
archive_tar_hex_value is None,
archive_md5_hex_value is None,
]):
logger.error("{}: Quarantined: {} failed MD5 check", config.TS, tb)
logger.info("{}: FAILED", tb.name)
logger.info("md5sum: WARNING: 1 computed checksum did NOT match")
quarantine((qdir_md5 / controller), logger, tb, tbmd5)
nquarantined += 1
continue
if dataset:
try:
dataset.md5 = archive_md5_hex_value
dataset.update()
except DatasetError as e:
logger.warn("Unable to update dataset {} with md5: {}",
str(dataset), str(e))
# make the destination directory and its TODO subdir if necessary.
try:
os.makedirs(dest / "TODO")
except FileExistsError:
# directory already exists, ignore
pass
except Exception:
logger.error("{}: Error in creating TODO directory.", config.TS)
quarantine(os.path.join(errors, controller), logger, tb, tbmd5)
nerrs += 1
continue
# First, copy the small .md5 file to the destination. That way, if
# that operation fails it will fail quickly since the file is small.
try:
shutil.copy2(tbmd5, dest)
except Exception:
logger.error("{}: Error in copying .md5 file to Destination path.",
config.TS)
try:
os.remove(dest / tbmd5.name)
except FileNotFoundError:
logger.error(
"{}: Warning: cleanup of copy failure failed itself.",
config.TS)
quarantine((errors / controller), logger, tb, tbmd5)
nerrs += 1
continue
# Next, mv the "large" tar ball to the destination. If the destination
# is on the same device, the move should be quick. If the destination is
# on a different device, the move will be a copy and delete, and will
# take a bit longer. If it fails, the file will NOT be at the
# destination.
try:
shutil.move(str(tb), str(dest))
except Exception:
logger.error(
"{}: Error in moving tarball file to Destination path.",
config.TS)
try:
os.remove(dest / resultname)
except FileNotFoundError:
logger.error(
"{}: Warning: cleanup of copy failure failed itself.",
config.TS)
quarantine((errors / controller), logger, tb, tbmd5)
nerrs += 1
continue
# Restore the SELinux context properly
try:
selinux.restorecon(dest / tb.name)
selinux.restorecon(dest / tbmd5.name)
except Exception as e:
# log it but do not abort
logger.error("{}: Error: 'restorecon {}', {}", config.TS,
dest / tb.name, e)
# Now that we have successfully moved the tar ball and its .md5 to the
# destination, we can remove the original .md5 file.
try:
os.remove(tbmd5)
except Exception as exc:
logger.error(
"{}: Warning: cleanup of successful copy operation failed: '{}'",
config.TS,
exc,
)
try:
os.symlink((dest / resultname), (dest / "TODO" / resultname))
except Exception as exc:
logger.error("{}: Error in creation of symlink. '{}'", config.TS,
exc)
# if we fail to make the link, we quarantine the (already moved)
# tarball and .md5.
quarantine(
(errors / controller),
logger,
(dest / tb),
(dest / tbmd5),
)
nerrs += 1
continue
ntbs += 1
try:
if dataset:
dataset.advance(States.UPLOADED)
except Exception:
logger.exception("Unable to finalize {}", dataset)
nstatus = f"{nstatus}{config.TS}: processed {tb}\n"
logger.info(f"{tb.name}: OK")
return Results(
nstatus=nstatus,
ntotal=ntotal,
ntbs=ntbs,
nquarantined=nquarantined,
ndups=ndups,
nerrs=nerrs,
)
def test_metadata(self):
""" Various tests on Metadata keys
"""
# See if we can create a metadata row
ds = Dataset.create(owner="redhat",
controller="controller",
name="name")
assert ds.metadatas == []
m = Metadata.create(key=Metadata.REINDEX, value="TRUE", dataset=ds)
assert m is not None
assert ds.metadatas == [m]
# Try to get it back
m1 = Metadata.get(ds, Metadata.REINDEX)
assert m1.key == m.key
assert m1.value == m.value
assert m.id == m1.id
assert m.dataset_ref == m1.dataset_ref
# Check the str()
assert "redhat|controller|name>>REINDEX" == str(m)
# Try to get a metadata key that doesn't exist
with pytest.raises(MetadataNotFound) as exc:
Metadata.get(ds, Metadata.TARBALL_PATH)
assert exc.value.dataset == ds
assert exc.value.key == Metadata.TARBALL_PATH
# Try to remove a metadata key that doesn't exist (No-op)
Metadata.remove(ds, Metadata.TARBALL_PATH)
# Try to create a metadata with a bad key
badkey = "THISISNOTTHEKEYYOURELOOKINGFOR"
with pytest.raises(MetadataBadKey) as exc:
Metadata(key=badkey, value=None)
assert exc.value.key == badkey
# Try to create a key without a value
with pytest.raises(MetadataMissingKeyValue):
Metadata(key=Metadata.REINDEX)
# Try to add a duplicate metadata key
with pytest.raises(MetadataDuplicateKey) as exc:
m1 = Metadata(key=Metadata.REINDEX, value="IRRELEVANT")
m1.add(ds)
assert exc.value.key == Metadata.REINDEX
assert exc.value.dataset == ds
assert ds.metadatas == [m]
# Try to add a Metadata key to something that's not a dataset
with pytest.raises(DatasetBadParameterType) as exc:
m1 = Metadata(key=Metadata.TARBALL_PATH, value="DONTCARE")
m1.add("foobar")
assert exc.value.bad_value == "foobar"
assert exc.value.expected_type == Dataset
# Try to create a Metadata with a bad value for the dataset
with pytest.raises(DatasetBadParameterType) as exc:
m1 = Metadata.create(key=Metadata.REINDEX,
value="TRUE",
dataset=[ds])
assert exc.value.bad_value == [ds]
assert exc.value.expected_type == Dataset
# Try to update the metadata key
m.value = "False"
m.update()
m1 = Metadata.get(ds, Metadata.REINDEX)
assert m.id == m1.id
assert m.dataset_ref == m1.dataset_ref
assert m.key == m1.key
assert m.value == "False"
# Delete the key and make sure its gone
m.delete()
with pytest.raises(MetadataNotFound) as exc:
Metadata.get(ds, Metadata.REINDEX)
assert exc.value.dataset == ds
assert exc.value.key == Metadata.REINDEX
assert ds.metadatas == []