Refactor names (#4)

- Downsize embeddings model to mini-lm in docker-compose files
- Rename for structure
- Default queues defined in schema file
- Standardize naming: graph embeddings, chunk embeddings, triples

trustgraph/storage/triples/cassandra/__init__.py

@@ -0,0 +1,3 @@
+
+from . write import *
+

trustgraph/storage/triples/cassandra/__main__.py

@@ -0,0 +1,7 @@
+#!/usr/bin/env python3
+
+from . write import run
+
+if __name__ == '__main__':
+    run()
+

trustgraph/storage/triples/cassandra/write.py

@@ -0,0 +1,68 @@
+
+"""
+Graph writer.  Input is graph edge.  Writes edges to Cassandra graph.
+"""
+
+import pulsar
+import base64
+import os
+import argparse
+import time
+
+from .... trustgraph import TrustGraph
+from .... schema import Triple
+from .... schema import triples_store_queue
+from .... log_level import LogLevel
+from .... base import Consumer
+
+module = ".".join(__name__.split(".")[1:-1])
+
+default_input_queue = triples_store_queue
+default_subscriber = module
+default_graph_host='localhost'
+
+class Processor(Consumer):
+
+    def __init__(self, **params):
+        
+        input_queue = params.get("input_queue", default_input_queue)
+        subscriber = params.get("subscriber", default_subscriber)
+        graph_host = params.get("graph_host", default_graph_host)
+
+        super(Processor, self).__init__(
+            **params | {
+                "input_queue": input_queue,
+                "subscriber": subscriber,
+                "input_schema": Triple,
+            }
+        )
+
+        self.tg = TrustGraph([graph_host])
+
+    def handle(self, msg):
+
+        v = msg.value()
+
+        self.tg.insert(
+            v.s.value,
+            v.p.value,
+            v.o.value
+        )
+
+    @staticmethod
+    def add_args(parser):
+
+        Consumer.add_args(
+            parser, default_input_queue, default_subscriber,
+        )
+
+        parser.add_argument(
+            '-g', '--graph-host',
+            default="localhost",
+            help=f'Graph host (default: localhost)'
+        )
+
+def run():
+
+    Processor.start(module, __doc__)
+