mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-06-13 16:55:14 +02:00
594deba73e
changes. Workspace support: - Support for separate workspaces - Addition of workspace CLI support for test purposes - Massive test update - Remove many 'user' references in services - workspace now provides the same separation - Update API
121 lines
3.2 KiB
Python
121 lines
3.2 KiB
Python
"""
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Queries graph entities by text similarity using vector embeddings.
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Returns a list of matching graph entities.
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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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default_workspace = os.getenv("TRUSTGRAPH_WORKSPACE", "default")
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def query(url, flow_id, query_text, collection, limit, token=None, workspace="default"):
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# Create API client
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api = Api(url=url, token=token, workspace=workspace)
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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 graph embeddings query service
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result = flow.graph_embeddings_query(
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text=query_text,
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collection=collection,
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limit=limit
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)
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entities = result.get("entities", [])
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if not entities:
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print("No matching entities found.")
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else:
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for i, match in enumerate(entities, 1):
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entity = match.get("entity", {})
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score = match.get("score", 0.0)
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# Format entity based on type (wire format uses compact keys)
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term_type = entity.get("t", "")
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if term_type == "i": # IRI
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entity_str = entity.get("i", "")
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elif term_type == "l": # Literal
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entity_str = f'"{entity.get("v", "")}"'
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elif term_type == "b": # Blank node
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entity_str = f'_:{entity.get("d", "")}'
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else:
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entity_str = str(entity)
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print(f"{i}. {entity_str} (score: {score:.4f})")
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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-graph-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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'-w', '--workspace',
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default=default_workspace,
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help=f'Workspace (default: {default_workspace})',
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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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'-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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'-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 graph entities',
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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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collection=args.collection,
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limit=args.limit,
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token=args.token,
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workspace=args.workspace,
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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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