mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-28 18:06:21 +02:00
69 lines
1.8 KiB
Python
Executable file
69 lines
1.8 KiB
Python
Executable file
|
|
"""
|
|
Accepts entity/vector pairs and writes them to a Milvus store.
|
|
"""
|
|
|
|
from .... direct.milvus_doc_embeddings import DocVectors
|
|
|
|
from .... schema import DocumentEmbeddings
|
|
from .... schema import document_embeddings_store_queue
|
|
from .... log_level import LogLevel
|
|
from .... base import Consumer
|
|
|
|
module = ".".join(__name__.split(".")[1:-1])
|
|
|
|
default_input_queue = document_embeddings_store_queue
|
|
default_subscriber = module
|
|
default_store_uri = 'http://localhost:19530'
|
|
|
|
class Processor(Consumer):
|
|
|
|
def __init__(self, **params):
|
|
|
|
input_queue = params.get("input_queue", default_input_queue)
|
|
subscriber = params.get("subscriber", default_subscriber)
|
|
store_uri = params.get("store_uri", default_store_uri)
|
|
|
|
super(Processor, self).__init__(
|
|
**params | {
|
|
"input_queue": input_queue,
|
|
"subscriber": subscriber,
|
|
"input_schema": DocumentEmbeddings,
|
|
"store_uri": store_uri,
|
|
}
|
|
)
|
|
|
|
self.vecstore = DocVectors(store_uri)
|
|
|
|
async def handle(self, msg):
|
|
|
|
v = msg.value()
|
|
|
|
for emb in v.chunks:
|
|
|
|
chunk = emb.chunk.decode("utf-8")
|
|
if chunk == "" or chunk is None: continue
|
|
|
|
for vec in emb.vectors:
|
|
|
|
if chunk != "" and v.chunk is not None:
|
|
for vec in v.vectors:
|
|
self.vecstore.insert(vec, chunk)
|
|
|
|
@staticmethod
|
|
def add_args(parser):
|
|
|
|
Consumer.add_args(
|
|
parser, default_input_queue, default_subscriber,
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-t', '--store-uri',
|
|
default=default_store_uri,
|
|
help=f'Milvus store URI (default: {default_store_uri})'
|
|
)
|
|
|
|
def run():
|
|
|
|
Processor.launch(module, __doc__)
|
|
|