def load_model(ctx, cfg):
stmt = db.select_tile(cfg, ctx['tx'], ctx['ty'])
fn = excepts(
StopIteration, lambda cfg, statement: bytes.fromhex(
first(db.execute_statement(cfg, statement)).model))
model = fn(cfg, stmt)
if model is None:
raise Exception("No model found for tx:{tx} and ty:{ty}".format(**ctx))
else:
return assoc(ctx, 'model_bytes', model)
def create(x, y, chipseq, dateseq, locations, spec_index):
"""Transforms a sequence of chips into a sequence of rods
filtered by date, deduplicated, sorted, located and identified.
Args:
x (int): x projection coordinate of chip
y (int): y projection coordinate of chip
chipseq (seq): sequence of chips
dates (seq): sequence of dates that should be included in the rods
locations (numpy.Array): 2d numpy array of pixel coordinates
spec_index (dict): specs indexed by ubid
Returns:
dict: {(chip_x, chip_y, x, y): {'k1': [], 'k2': [], 'k3': [], ...}}
"""
return thread_last(
chipseq, partial(chips.trim, dates=dateseq), chips.deduplicate,
chips.rsort, partial(chips.to_numpy, spec_index=spec_index),
excepts(ValueError, from_chips, lambda _: []),
excepts(AttributeError, partial(locate, locations=locations),
lambda _: {}), partial(identify, x=x, y=y))
async def _handle_get_collations(self, peer, msg):
"""Respond with all requested collations that we know about."""
collation_hashes = set(msg["collation_hashes"])
self.collation_hashes_at_peer[peer] |= collation_hashes
get_collation_or_none = excepts(
(CollationHeaderNotFound, CollationBodyNotFound),
self.shard.get_collation_by_hash)
collations = [
collation for collation in [
get_collation_or_none(collation_hash)
for collation_hash in collation_hashes
] if collation is not None
]
self.logger.info(
"Responding to peer %s with %d collations",
peer.remote,
len(collations),
)
peer.sub_proto.send_collations(msg["request_id"], collations)
