Write knowledge core elements to Cassandra

This commit is contained in:
Cyber MacGeddon 2025-05-06 17:49:28 +01:00
parent d0da122bed
commit 0393c7636a
7 changed files with 378 additions and 227 deletions

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@ -0,0 +1,6 @@
#!/usr/bin/env python3
from trustgraph.storage.knowledge import run
run()

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@ -95,6 +95,7 @@ setuptools.setup(
"scripts/kg-extract-definitions",
"scripts/kg-extract-relationships",
"scripts/kg-extract-topics",
"scripts/kg-store",
"scripts/librarian",
"scripts/metering",
"scripts/object-extract-row",

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@ -104,71 +104,6 @@ class TableStore:
);
""");
return
print("triples table...", flush=True)
self.cassandra.execute("""
CREATE TABLE IF NOT EXISTS triples (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
triples list<tuple<
text, boolean, text, boolean, text, boolean
>>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("graph_embeddings table...", flush=True)
self.cassandra.execute("""
create table if not exists graph_embeddings (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
entity_embeddings list<
tuple<
tuple<text, boolean>,
list<list<double>>
>
>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("document_embeddings table...", flush=True)
self.cassandra.execute("""
create table if not exists document_embeddings (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
chunks list<
tuple<
blob,
list<list<double>>
>
>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("Cassandra schema OK.", flush=True)
def prepare_statements(self):
@ -252,35 +187,6 @@ class TableStore:
WHERE user = ?
""")
return
self.insert_triples_stmt = self.cassandra.prepare("""
INSERT INTO triples
(
id, user, collection, document_id, time,
metadata, triples
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
self.insert_graph_embeddings_stmt = self.cassandra.prepare("""
INSERT INTO graph_embeddings
(
id, user, collection, document_id, time,
metadata, entity_embeddings
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
self.insert_document_embeddings_stmt = self.cassandra.prepare("""
INSERT INTO document_embeddings
(
id, user, collection, document_id, time,
metadata, chunks
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
async def document_exists(self, user, id):
resp = self.cassandra.execute(
@ -391,50 +297,6 @@ class TableStore:
print("Delete complete", flush=True)
async def add_triples(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
triples = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.triples
]
while True:
try:
resp = self.cassandra.execute(
self.insert_triples_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, triples,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)
async def list_documents(self, user):
print("List documents...")
@ -661,92 +523,3 @@ class TableStore:
return lst
async def add_graph_embeddings(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
entities = [
(
(v.entity.value, v.entity.is_uri),
v.vectors
)
for v in m.entities
]
while True:
try:
resp = self.cassandra.execute(
self.insert_graph_embeddings_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, entities,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)
async def add_document_embeddings(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
chunks = [
(
v.chunk,
v.vectors,
)
for v in m.chunks
]
while True:
try:
resp = self.cassandra.execute(
self.insert_document_embeddings_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, chunks,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)

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@ -0,0 +1,3 @@
from . store import run

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@ -0,0 +1,5 @@
from . store import run
if __name__ == '__main__':
run()

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@ -0,0 +1,78 @@
"""
Stores knowledge-cores in Cassandra
"""
import json
import urllib.parse
from ... schema import Triples, GraphEmbeddings
from ... base import FlowProcessor, ConsumerSpec
from . table_store import TableStore
default_ident = "kg-store"
default_cassandra_host = "cassandra"
keyspace = "knowledge"
class Processor(FlowProcessor):
def __init__(self, **params):
id = params.get("id")
cassandra_host = params.get("cassandra_host", default_cassandra_host)
cassandra_user = params.get("cassandra_user")
cassandra_password = params.get("cassandra_password")
super(Processor, self).__init__(
**params | {
"id": id,
"cassandra_host": cassandra_host,
"cassandra_user": cassandra_user,
}
)
self.register_specification(
ConsumerSpec(
name = "triples-input",
schema = Triples,
handler = self.on_triples
)
)
self.register_specification(
ConsumerSpec(
name = "graph-embeddings-input",
schema = GraphEmbeddings,
handler = self.on_graph_embeddings
)
)
self.table_store = TableStore(
cassandra_host = cassandra_host.split(","),
cassandra_user = cassandra_user,
cassandra_password = cassandra_password,
keyspace = keyspace,
)
async def on_triples(self, msg, consumer, flow):
v = msg.value()
await self.table_store.add_triples(v)
async def on_graph_embeddings(self, msg, consumer, flow):
v = msg.value()
await self.table_store.add_graph_embeddings(v)
@staticmethod
def add_args(parser):
FlowProcessor.add_args(parser)
def run():
Processor.launch(default_ident, __doc__)

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@ -0,0 +1,285 @@
from cassandra.cluster import Cluster
from cassandra.auth import PlainTextAuthProvider
from ssl import SSLContext, PROTOCOL_TLSv1_2
import uuid
import time
import asyncio
class TableStore:
def __init__(
self,
cassandra_host, cassandra_user, cassandra_password, keyspace,
):
self.keyspace = keyspace
print("Connecting to Cassandra...", flush=True)
if cassandra_user and cassandra_password:
ssl_context = SSLContext(PROTOCOL_TLSv1_2)
auth_provider = PlainTextAuthProvider(
username=cassandra_user, password=cassandra_password
)
self.cluster = Cluster(
cassandra_host,
auth_provider=auth_provider,
ssl_context=ssl_context
)
else:
self.cluster = Cluster(cassandra_host)
self.cassandra = self.cluster.connect()
print("Connected.", flush=True)
self.ensure_cassandra_schema()
self.prepare_statements()
def ensure_cassandra_schema(self):
print("Ensure Cassandra schema...", flush=True)
print("Keyspace...", flush=True)
# FIXME: Replication factor should be configurable
self.cassandra.execute(f"""
create keyspace if not exists {self.keyspace}
with replication = {{
'class' : 'SimpleStrategy',
'replication_factor' : 1
}};
""");
self.cassandra.set_keyspace(self.keyspace)
print("triples table...", flush=True)
self.cassandra.execute("""
CREATE TABLE IF NOT EXISTS triples (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
triples list<tuple<
text, boolean, text, boolean, text, boolean
>>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("graph_embeddings table...", flush=True)
self.cassandra.execute("""
create table if not exists graph_embeddings (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
entity_embeddings list<
tuple<
tuple<text, boolean>,
list<list<double>>
>
>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("document_embeddings table...", flush=True)
self.cassandra.execute("""
create table if not exists document_embeddings (
user text,
collection text,
document_id text,
id uuid,
time timestamp,
metadata list<tuple<
text, boolean, text, boolean, text, boolean
>>,
chunks list<
tuple<
blob,
list<list<double>>
>
>,
PRIMARY KEY (user, collection, document_id, id)
);
""");
print("Cassandra schema OK.", flush=True)
def prepare_statements(self):
self.insert_triples_stmt = self.cassandra.prepare("""
INSERT INTO triples
(
id, user, collection, document_id, time,
metadata, triples
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
self.insert_graph_embeddings_stmt = self.cassandra.prepare("""
INSERT INTO graph_embeddings
(
id, user, collection, document_id, time,
metadata, entity_embeddings
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
self.insert_document_embeddings_stmt = self.cassandra.prepare("""
INSERT INTO document_embeddings
(
id, user, collection, document_id, time,
metadata, chunks
)
VALUES (?, ?, ?, ?, ?, ?, ?)
""")
async def add_triples(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
triples = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.triples
]
while True:
try:
resp = self.cassandra.execute(
self.insert_triples_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, triples,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)
async def add_graph_embeddings(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
entities = [
(
(v.entity.value, v.entity.is_uri),
v.vectors
)
for v in m.entities
]
while True:
try:
resp = self.cassandra.execute(
self.insert_graph_embeddings_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, entities,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)
async def add_document_embeddings(self, m):
when = int(time.time() * 1000)
if m.metadata.metadata:
metadata = [
(
v.s.value, v.s.is_uri, v.p.value, v.p.is_uri,
v.o.value, v.o.is_uri
)
for v in m.metadata.metadata
]
else:
metadata = []
chunks = [
(
v.chunk,
v.vectors,
)
for v in m.chunks
]
while True:
try:
resp = self.cassandra.execute(
self.insert_document_embeddings_stmt,
(
uuid.uuid4(), m.metadata.user,
m.metadata.collection, m.metadata.id, when,
metadata, chunks,
)
)
break
except Exception as e:
print("Exception:", type(e))
print(f"{e}, retry...", flush=True)
await asyncio.sleep(1)