mirror of
https://github.com/trustgraph-ai/trustgraph.git
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a6d9f5e849
* Tweak the structured query schema * Structure query service * Gateway support for nlp-query and structured-query * API support * Added CLI * Update tests * More tests
111 lines
No EOL
2.9 KiB
Python
111 lines
No EOL
2.9 KiB
Python
"""
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Uses the NLP Query service to convert natural language questions to GraphQL queries
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"""
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import argparse
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import os
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import json
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import sys
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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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def nlp_query(url, flow_id, question, max_results, output_format='json'):
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api = Api(url).flow().id(flow_id)
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resp = api.nlp_query(
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question=question,
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max_results=max_results
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)
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# Check for errors
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if "error" in resp and resp["error"]:
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print("Error:", resp["error"].get("message", "Unknown error"), file=sys.stderr)
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sys.exit(1)
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# Format output based on requested format
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if output_format == 'json':
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print(json.dumps(resp, indent=2))
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elif output_format == 'graphql':
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# Just print the GraphQL query
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if "graphql_query" in resp:
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print(resp["graphql_query"])
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else:
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print("No GraphQL query generated", file=sys.stderr)
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sys.exit(1)
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elif output_format == 'summary':
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# Print a human-readable summary
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if "graphql_query" in resp:
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print(f"Generated GraphQL Query:")
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print("-" * 40)
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print(resp["graphql_query"])
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print("-" * 40)
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if "detected_schemas" in resp and resp["detected_schemas"]:
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print(f"Detected Schemas: {', '.join(resp['detected_schemas'])}")
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if "confidence" in resp:
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print(f"Confidence: {resp['confidence']:.2%}")
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if "variables" in resp and resp["variables"]:
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print(f"Variables: {json.dumps(resp['variables'], indent=2)}")
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else:
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print("No GraphQL query generated", file=sys.stderr)
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sys.exit(1)
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def main():
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parser = argparse.ArgumentParser(
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prog='tg-invoke-nlp-query',
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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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'-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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'-q', '--question',
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required=True,
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help='Natural language question to convert to GraphQL',
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)
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parser.add_argument(
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'-m', '--max-results',
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type=int,
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default=100,
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help='Maximum number of results (default: 100)'
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)
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parser.add_argument(
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'--format',
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choices=['json', 'graphql', 'summary'],
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default='summary',
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help='Output format (default: summary)'
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)
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args = parser.parse_args()
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try:
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nlp_query(
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url=args.url,
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flow_id=args.flow_id,
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question=args.question,
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max_results=args.max_results,
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output_format=args.format,
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)
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except Exception as e:
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print("Exception:", e, flush=True, file=sys.stderr)
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sys.exit(1)
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if __name__ == "__main__":
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main() |