mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-06-15 09:45:13 +02:00
31328317fd
- 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
95 lines
2.2 KiB
Python
Executable file
95 lines
2.2 KiB
Python
Executable file
|
|
"""
|
|
Graph embeddings, calls the embeddings service to get embeddings for a
|
|
set of entity contexts. Input is entity plus textual context.
|
|
Output is entity plus embedding.
|
|
"""
|
|
|
|
from ... schema import EntityContexts, EntityEmbeddings, GraphEmbeddings
|
|
from ... schema import EmbeddingsRequest, EmbeddingsResponse
|
|
|
|
from ... base import FlowProcessor, EmbeddingsClientSpec, ConsumerSpec
|
|
from ... base import ProducerSpec
|
|
|
|
default_ident = "graph-embeddings"
|
|
|
|
class Processor(FlowProcessor):
|
|
|
|
def __init__(self, **params):
|
|
|
|
id = params.get("id")
|
|
|
|
super(Processor, self).__init__(
|
|
**params | {
|
|
"id": id,
|
|
}
|
|
)
|
|
|
|
self.register_specification(
|
|
ConsumerSpec(
|
|
name = "input",
|
|
schema = EntityContexts,
|
|
handler = self.on_message,
|
|
)
|
|
)
|
|
|
|
self.register_specification(
|
|
EmbeddingsClientSpec(
|
|
request_name = "embeddings-request",
|
|
response_name = "embeddings-response",
|
|
)
|
|
)
|
|
|
|
self.register_specification(
|
|
ProducerSpec(
|
|
name = "output",
|
|
schema = GraphEmbeddings
|
|
)
|
|
)
|
|
|
|
async def on_message(self, msg, consumer, flow):
|
|
|
|
v = msg.value()
|
|
print(f"Indexing {v.metadata.id}...", flush=True)
|
|
|
|
entities = []
|
|
|
|
try:
|
|
|
|
for entity in v.entities:
|
|
|
|
vectors = await flow("embeddings-request").embed(
|
|
text = entity.context
|
|
)
|
|
|
|
entities.append(
|
|
EntityEmbeddings(
|
|
entity=entity.entity,
|
|
vectors=vectors
|
|
)
|
|
)
|
|
|
|
r = GraphEmbeddings(
|
|
metadata=v.metadata,
|
|
entities=entities,
|
|
)
|
|
|
|
await flow("output").send(r)
|
|
|
|
except Exception as e:
|
|
print("Exception:", e, flush=True)
|
|
|
|
# Retry
|
|
raise e
|
|
|
|
print("Done.", flush=True)
|
|
|
|
@staticmethod
|
|
def add_args(parser):
|
|
|
|
FlowProcessor.add_args(parser)
|
|
|
|
def run():
|
|
|
|
Processor.launch(default_ident, __doc__)
|
|
|