mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 08:26:21 +02:00
4bbc6d844f
* Added row embeddings API and CLI support * Updated protocol specs * Row embeddings agent tool * Add new agent tool to CLI
126 lines
3 KiB
Python
126 lines
3 KiB
Python
"""
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Queries row data by text similarity using vector embeddings on indexed fields.
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Returns matching rows with their index values and similarity scores.
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"""
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import argparse
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import os
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from trustgraph.api import Api
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default_url = os.getenv("TRUSTGRAPH_URL", 'http://localhost:8088/')
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default_token = os.getenv("TRUSTGRAPH_TOKEN", None)
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def query(url, flow_id, query_text, schema_name, user, collection, index_name, limit, token=None):
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# Create API client
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api = Api(url=url, token=token)
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socket = api.socket()
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flow = socket.flow(flow_id)
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try:
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# Call row embeddings query service
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result = flow.row_embeddings_query(
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text=query_text,
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schema_name=schema_name,
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user=user,
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collection=collection,
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index_name=index_name,
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limit=limit
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)
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matches = result.get("matches", [])
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for match in matches:
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print(f"Index: {match['index_name']}")
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print(f" Values: {match['index_value']}")
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print(f" Text: {match['text']}")
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print(f" Score: {match['score']:.4f}")
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print()
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finally:
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# Clean up socket connection
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socket.close()
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def main():
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parser = argparse.ArgumentParser(
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prog='tg-invoke-row-embeddings',
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description=__doc__,
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)
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parser.add_argument(
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'-u', '--url',
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default=default_url,
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help=f'API URL (default: {default_url})',
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)
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parser.add_argument(
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'-t', '--token',
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default=default_token,
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help='Authentication token (default: $TRUSTGRAPH_TOKEN)',
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)
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parser.add_argument(
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'-f', '--flow-id',
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default="default",
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help=f'Flow ID (default: default)'
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)
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parser.add_argument(
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'-U', '--user',
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default="trustgraph",
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help='User/keyspace (default: trustgraph)',
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)
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parser.add_argument(
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'-c', '--collection',
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default="default",
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help='Collection (default: default)',
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)
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parser.add_argument(
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'-s', '--schema-name',
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required=True,
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help='Schema name to search within (required)',
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)
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parser.add_argument(
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'-i', '--index-name',
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default=None,
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help='Index name to filter search (optional)',
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)
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parser.add_argument(
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'-l', '--limit',
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type=int,
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default=10,
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help='Maximum number of results (default: 10)',
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)
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parser.add_argument(
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'query',
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nargs=1,
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help='Query text to search for similar row index values',
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)
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args = parser.parse_args()
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try:
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query(
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url=args.url,
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flow_id=args.flow_id,
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query_text=args.query[0],
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schema_name=args.schema_name,
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user=args.user,
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collection=args.collection,
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index_name=args.index_name,
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limit=args.limit,
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token=args.token,
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)
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except Exception as e:
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print("Exception:", e, flush=True)
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if __name__ == "__main__":
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main()
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