def test_structure_matches_strategy(self):
"""
The basic structure of the result returned matches the structure
created by the hypothesis strategies used by other tests.
"""
marshalled = marshal_tahoe_configuration(
"",
"",
"",
0,
0,
"",
"",
"",
"",
"",
"",
"",
)
introducer = introducer_configuration().example()
storage = storage_configuration().example()
self.assertThat(
[set(introducer), set(storage)],
MatchesListwise([
Equals(set(marshalled["introducer"])),
Equals(set(marshalled["storage"])),
]),
)
def test_gatherers_missing(self, introducer_config, storage_config):
"""
If the log and stats gatherers are not given, the storage and
introducer configurations are written with empty strings for
these fields.
"""
config = marshal_tahoe_configuration(
introducer_pem=introducer_config["node_pem"],
storage_pem=storage_config["node_pem"],
storage_privkey=storage_config["node_privkey"],
introducer_port=introducer_config["port"],
storageserver_port=storage_config["port"],
bucket_name=storage_config["bucket_name"],
key_prefix=storage_config["key_prefix"],
publichost=storage_config["publichost"],
privatehost=storage_config["privatehost"],
introducer_furl=storage_config["introducer_furl"],
s3_access_key_id=storage_config["s3_access_key_id"],
s3_secret_key=storage_config["s3_secret_key"],
log_gatherer_furl=None,
stats_gatherer_furl=None,
)
configure_tahoe({"introducer": config["introducer"]}, self.nodes.introducer.path)
configure_tahoe({"storage": config["storage"]}, self.nodes.storage.path)
config_files = [
self.nodes.introducer.child(b"tahoe.cfg"),
self.nodes.storage.child(b"tahoe.cfg"),
]
self.assertThat(config_files, AllMatch(
hasConfiguration({
("node", "log_gatherer.furl", ""),
("client", "stats_gatherer.furl", ""),
})
))
def test_complete(self, introducer_config, storage_config):
"""
Introducer and storage configuration can be supplied via ``configure_tahoe``.
"""
introducer_furl = introducer_config["introducer_furl"]
config = marshal_tahoe_configuration(
introducer_pem=introducer_config["node_pem"],
storage_pem=storage_config["node_pem"],
storage_privkey=storage_config["node_privkey"],
introducer_port=introducer_config["port"],
storageserver_port=storage_config["port"],
bucket_name=storage_config["bucket_name"],
key_prefix=storage_config["key_prefix"],
publichost=storage_config["publichost"],
privatehost=storage_config["privatehost"],
introducer_furl=introducer_furl,
s3_access_key_id=storage_config["s3_access_key_id"],
s3_secret_key=storage_config["s3_secret_key"],
log_gatherer_furl=introducer_config["log_gatherer_furl"],
stats_gatherer_furl=introducer_config["stats_gatherer_furl"],
)
configure_tahoe({"introducer": config["introducer"]},
self.nodes.introducer.path)
configure_tahoe({"storage": config["storage"]},
self.nodes.storage.path)
intro_config_path = self.nodes.introducer.child(b"tahoe.cfg")
storage_config_path = self.nodes.storage.child(b"tahoe.cfg")
config_files = [intro_config_path, storage_config_path]
# If the log and stats gatherers are given, the storage and
# introducer configurations are written with those values for
# those fields.
self.expectThat(
config_files,
AllMatch(
hasConfiguration({
("node", "log_gatherer.furl",
introducer_config["log_gatherer_furl"]),
("client", "stats_gatherer.furl",
introducer_config["stats_gatherer_furl"]),
})))
# The introducer furl in the introducer configuration is
# written to the ``private/introducer.furl`` file in the
# introducer's state/configuration directory and to the
# storage node's configuration file.
self.expectThat(
self.nodes.introducer.descendant([b"private", b"introducer.furl"]),
hasContents(introducer_furl),
)
tub_id, location_hints, name = decode_furl(introducer_furl)
port = location_hints[0].split(":")[1]
location_hints[:0] = [storage_config["privatehost"] + ":" + port]
internal_introducer_furl = encode_furl(tub_id, location_hints, name)
self.expectThat(
storage_config_path,
hasConfiguration({
("client", "introducer.furl", internal_introducer_furl),
}),
)
self.expectThat(
self.nodes.storage.child(b"announcement-seqnum"),
hasContentsMatching(
# The second hand could click over between when the file is
# written and when this test code runs. In fact, it could
# click over multiple times... But the only way to really fix
# that is to parameterize the clock and the structure of
# configure_tahoe makes that tricky. So just suppose that one
# second is all the leeway we need to make this reliable.
AfterPreprocessing(int, Not(LessThan(int(time() - 1)))), ),
)
def test_complete(self, introducer_config, storage_config):
"""
Introducer and storage configuration can be supplied via ``configure_tahoe``.
"""
introducer_furl = introducer_config["introducer_furl"]
config = marshal_tahoe_configuration(
introducer_pem=introducer_config["node_pem"],
storage_pem=storage_config["node_pem"],
storage_privkey=storage_config["node_privkey"],
introducer_port=introducer_config["port"],
storageserver_port=storage_config["port"],
bucket_name=storage_config["bucket_name"],
publichost=storage_config["publichost"],
privatehost=storage_config["privatehost"],
introducer_furl=introducer_furl,
s3_access_key_id=storage_config["s3_access_key_id"],
s3_secret_key=storage_config["s3_secret_key"],
log_gatherer_furl=introducer_config["log_gatherer_furl"],
stats_gatherer_furl=introducer_config["stats_gatherer_furl"],
)
configure_tahoe({"introducer": config["introducer"]},
self.nodes.introducer.path)
configure_tahoe({"storage": config["storage"]},
self.nodes.storage.path)
intro_config_path = self.nodes.introducer.child(b"tahoe.cfg")
storage_config_path = self.nodes.storage.child(b"tahoe.cfg")
config_files = [intro_config_path, storage_config_path]
# If the log and stats gatherers are given, the storage and
# introducer configurations are written with those values for
# those fields.
self.expectThat(
config_files,
AllMatch(
hasConfiguration({
("node", "log_gatherer.furl",
introducer_config["log_gatherer_furl"]),
("client", "stats_gatherer.furl",
introducer_config["stats_gatherer_furl"]),
})))
# The introducer furl in the introducer configuration is
# written to the ``private/introducer.furl`` file in the
# introducer's state/configuration directory and to the
# storage node's configuration file.
self.expectThat(
self.nodes.introducer.descendant([b"private", b"introducer.furl"]),
hasContents(introducer_furl),
)
tub_id, location_hints, name = decode_furl(introducer_furl)
port = location_hints[0].split(":")[1]
location_hints[:0] = [storage_config["privatehost"] + ":" + port]
internal_introducer_furl = encode_furl(tub_id, location_hints, name)
self.expectThat(
storage_config_path,
hasConfiguration({
("client", "introducer.furl", internal_introducer_furl),
}),
)
