mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 08:26:21 +02:00
a9197d11ee
- Keeps processing in different flows separate so that data can go to different stores / collections etc. - Potentially supports different processing flows - Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
84 lines
2 KiB
Python
84 lines
2 KiB
Python
|
|
"""
|
|
Graph embeddings query service. Input is vectors. Output is list of
|
|
embeddings.
|
|
"""
|
|
|
|
from .. schema import GraphEmbeddingsRequest, GraphEmbeddingsResponse
|
|
from .. schema import Error, Value
|
|
|
|
from . flow_processor import FlowProcessor
|
|
from . consumer_spec import ConsumerSpec
|
|
from . producer_spec import ProducerSpec
|
|
|
|
default_ident = "ge-query"
|
|
|
|
class GraphEmbeddingsQueryService(FlowProcessor):
|
|
|
|
def __init__(self, **params):
|
|
|
|
id = params.get("id")
|
|
|
|
super(GraphEmbeddingsQueryService, self).__init__(
|
|
**params | { "id": id }
|
|
)
|
|
|
|
self.register_specification(
|
|
ConsumerSpec(
|
|
name = "request",
|
|
schema = GraphEmbeddingsRequest,
|
|
handler = self.on_message
|
|
)
|
|
)
|
|
|
|
self.register_specification(
|
|
ProducerSpec(
|
|
name = "response",
|
|
schema = GraphEmbeddingsResponse,
|
|
)
|
|
)
|
|
|
|
async def on_message(self, msg, consumer, flow):
|
|
|
|
try:
|
|
|
|
request = msg.value()
|
|
|
|
# Sender-produced ID
|
|
id = msg.properties()["id"]
|
|
|
|
print(f"Handling input {id}...", flush=True)
|
|
|
|
entities = await self.query_graph_embeddings(request)
|
|
|
|
print("Send response...", flush=True)
|
|
r = GraphEmbeddingsResponse(entities=entities, error=None)
|
|
await flow("response").send(r, properties={"id": id})
|
|
|
|
print("Done.", flush=True)
|
|
|
|
except Exception as e:
|
|
|
|
print(f"Exception: {e}")
|
|
|
|
print("Send error response...", flush=True)
|
|
|
|
r = GraphEmbeddingsResponse(
|
|
error=Error(
|
|
type = "graph-embeddings-query-error",
|
|
message = str(e),
|
|
),
|
|
response=None,
|
|
)
|
|
|
|
await flow("response").send(r, properties={"id": id})
|
|
|
|
@staticmethod
|
|
def add_args(parser):
|
|
|
|
FlowProcessor.add_args(parser)
|
|
|
|
def run():
|
|
|
|
Processor.launch(default_ident, __doc__)
|
|
|