mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-07-22 19:51:02 +02:00
6bf08c3ace
* CLI tools for tg-invoke-graph-embeddings, tg-invoke-document-embeddings, and tg-invoke-embeddings. Just useful for diagnostics. * Fix tg-load-knowledge
77 lines
1.6 KiB
Python
77 lines
1.6 KiB
Python
"""
|
|
Invokes the embeddings service to convert text to a vector embedding.
|
|
Returns the embedding vector as a list of floats.
|
|
"""
|
|
|
|
import argparse
|
|
import os
|
|
from trustgraph.api import Api
|
|
|
|
default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
|
|
default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
|
|
|
|
def query(url, flow_id, text, token=None):
|
|
|
|
# Create API client
|
|
api = Api(url=url, token=token)
|
|
socket = api.socket()
|
|
flow = socket.flow(flow_id)
|
|
|
|
try:
|
|
# Call embeddings service
|
|
result = flow.embeddings(text=text)
|
|
vectors = result.get("vectors", [])
|
|
print(vectors)
|
|
|
|
finally:
|
|
# Clean up socket connection
|
|
socket.close()
|
|
|
|
def main():
|
|
|
|
parser = argparse.ArgumentParser(
|
|
prog='tg-invoke-embeddings',
|
|
description=__doc__,
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-u', '--url',
|
|
default=default_url,
|
|
help=f'API URL (default: {default_url})',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-t', '--token',
|
|
default=default_token,
|
|
help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
|
|
)
|
|
|
|
parser.add_argument(
|
|
'-f', '--flow-id',
|
|
default="default",
|
|
help=f'Flow ID (default: default)'
|
|
)
|
|
|
|
parser.add_argument(
|
|
'text',
|
|
nargs=1,
|
|
help='Text to convert to embedding vector',
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
try:
|
|
|
|
query(
|
|
url=args.url,
|
|
flow_id=args.flow_id,
|
|
text=args.text[0],
|
|
token=args.token,
|
|
)
|
|
|
|
except Exception as e:
|
|
|
|
print("Exception:", e, flush=True)
|
|
|
|
if __name__ == "__main__":
|
|
main()
|