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Add query/search agent with advanced mapping, validation, error reporting, and JSON support
Browse files- query_search_agent.py +124 -0
query_search_agent.py
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"""Query/Search Agent Tool with Dynamic Column Mapping and JSON Support
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This agent provides query and search capabilities over registered schemas,
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performs dynamic mapping, validates target fields, and supports error handling
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and JSON round-trip.
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"""
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import json
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from typing import Any, Dict, List, Tuple, Optional
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from schema_registry import SchemaRegistry
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class QuerySearchAgent:
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"""Query/search agent leveraging the SchemaRegistry's mapping and validation."""
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def __init__(self, registry: Optional[SchemaRegistry] = None):
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self.registry = registry or SchemaRegistry()
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def search(self, schema_name: str, query: Dict[str, Any], data_source: List[Dict[str, Any]],
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container_map: Optional[Dict[str, str]] = None) -> Tuple[List[Dict[str, Any]], List[str]]:
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"""Searches for items matching query constraints, supports dynamic container mapping."""
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errors = []
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results = []
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# Validate schema
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schema = self.registry.get_schema(schema_name)
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if not schema:
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errors.append(f"Schema '{schema_name}' not found")
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return [], errors
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# Validate query against schema
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_, query_errors = self.registry.validate_data(schema_name, query)
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if query_errors:
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errors.extend(query_errors)
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return [], errors
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# Search logic
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for item in data_source:
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match = True
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for qkey, qval in query.items():
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if item.get(qkey) != qval:
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match = False
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break
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if match:
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results.append(item)
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# Apply dynamic mapping if requested
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if container_map:
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mapped_results = []
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for result in results:
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mapped_item = {}
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for orig_field, mapped_field in container_map.items():
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mapped_item[mapped_field] = result.get(orig_field)
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mapped_results.append(mapped_item)
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results = mapped_results
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return results, errors
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def advanced_query(self, source_schema: str, target_schema: str, query: Dict[str, Any],
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data_source: List[Dict[str, Any]]) -> Tuple[List[Dict[str, Any]], List[str]]:
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"""Search and transform data from source to target schema with validation/errors/JSON support."""
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errors = []
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transformed_results = []
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for item in data_source:
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# Validate source item
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is_valid, validation_errors = self.registry.validate_data(source_schema, item)
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if not is_valid:
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errors.extend([f"Source error: {err}" for err in validation_errors])
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continue
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# Check query match
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match = True
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for qkey, qval in query.items():
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if item.get(qkey) != qval:
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match = False
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break
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if not match:
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continue
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# Transform to target schema
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transformed, trans_errors = self.registry.transform_data(item, source_schema, target_schema)
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if transformed:
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transformed_results.append(transformed)
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else:
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errors.extend([f"Mapping error: {err}" for err in trans_errors])
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return transformed_results, errors
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def round_trip_json(self, obj: Any) -> Any:
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"""Verifies serialization and deserialization integrity (round-trip)."""
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try:
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dump = json.dumps(obj)
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restore = json.loads(dump)
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if dump == json.dumps(restore):
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return restore
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return None
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except Exception as e:
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return None
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if __name__ == "__main__":
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# Example usage/test
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registry = SchemaRegistry()
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agent = QuerySearchAgent(registry)
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users = [
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{'id': 1, 'username': 'alice', 'email': 'alice@example.com', 'age': 30},
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{'id': 2, 'username': 'bob', 'email': 'bob@example.com', 'age': 24},
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{'id': 3, 'username': 'carol', 'email': 'carol@test.com', 'age': 29},
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]
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query = {'username': 'alice'}
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results, errors = agent.search('user', query, users)
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print("Basic results:", results, "Errors:", errors)
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# Advanced query with transformation and error reporting
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registry.register_schema('short_user', {
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'username': {'type': 'string', 'required': True},
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'age': {'type': 'int', 'required': False}
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}, 'Short user schema')
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registry.register_mapping('user', 'short_user', {
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'username': 'username',
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'age': 'age',
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})
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adv_results, adv_errors = agent.advanced_query('user', 'short_user', query, users)
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print("Advanced results:", adv_results, "Errors:", adv_errors)
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# Round-trip JSON test
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print("Round-trip JSON:", agent.round_trip_json(results))
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