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Update kig_core/graph_operations.py
Browse files
kig_core/graph_operations.py
CHANGED
@@ -88,27 +88,27 @@ def generate_cypher_guided(question: str, plan_step: int) -> str:
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return "" # Return empty query if concept is invalid
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selected_concept = found_match
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-
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# Determine the target node type based on plan step (example logic)
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# This mapping might need adjustment based on the actual plan structure
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if plan_step <= 1: # Steps 0 and 1: Context gathering
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target = "(ts:TechnicalSpecification)"
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fields = "ts.title, ts.scope, ts.description"
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elif plan_step == 2: # Step 2: Research papers?
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target = "(rp:ResearchPaper)"
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fields = "rp.title, rp.abstract"
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else: # Later steps might involve KeyIssues themselves or other types
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target = "(n)" # Generic fallback
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fields = "n.title, n.description" # Assuming common fields
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# Construct Cypher query
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# Ensure selected_concept is properly escaped if needed, though parameters are safer
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# We return the query and the parameters separately for safe execution
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# However, the planner currently expects just the string. Let's construct it directly for now.
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# Be cautious about injection if concept names can contain special chars. Binding is preferred.
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escaped_concept = selected_concept.replace("'", "\\'") # Basic escaping
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cypher = f"MATCH (c:Concept {{name: '{escaped_concept}'}})-[:RELATED_TO]-{target} RETURN {fields}"
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logger.info(f"Generated guided Cypher: {cypher}")
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return cypher
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@@ -182,7 +182,7 @@ def evaluate_documents(
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result = invoke_llm(binary_grader,{"question": query, "document": formatted_doc})
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logger.debug(f"Binary grader result for doc '{doc.get('title', 'N/A')}': {result}")
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if result and 'yes' in result.lower():
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valid_docs_with_scores.append((doc, 1.0))
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except Exception as e:
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logger.warning(f"Binary grading failed for a document: {e}", exc_info=True)
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return "" # Return empty query if concept is invalid
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selected_concept = found_match
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# Determine the target node type based on plan step (example logic)
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# This mapping might need adjustment based on the actual plan structure
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if plan_step <= 1: # Steps 0 and 1: Context gathering
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target = "(ts:TechnicalSpecification)"
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fields = "ts.title, ts.scope, ts.description, ts.summary"
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elif plan_step == 2: # Step 2: Research papers?
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target = "(rp:ResearchPaper)"
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fields = "rp.title, rp.abstract, rp.summary"
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else: # Later steps might involve KeyIssues themselves or other types
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target = "(n)" # Generic fallback
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fields = "n.title, n.description, n.summary" # Assuming common fields
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# Construct Cypher query
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# Ensure selected_concept is properly escaped if needed, though parameters are safer
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+
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cypher = f"MATCH (c:Concept {{name: $conceptName}})-[:RELATED_TO]-{target} OPTIONAL MATCH (s:Solution)-[:SOLUTION_OF]->{target} WHERE {target}:KeyIssue RETURN {fields},s.summary LIMIT 10"
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# We return the query and the parameters separately for safe execution
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# However, the planner currently expects just the string. Let's construct it directly for now.
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# Be cautious about injection if concept names can contain special chars. Binding is preferred.
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escaped_concept = selected_concept.replace("'", "\\'") # Basic escaping
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cypher = f"MATCH (c:Concept {{name: '{escaped_concept}'}})-[:RELATED_TO]-{target} OPTIONAL MATCH (s:Solution)-[:SOLUTION_OF]->{target} WHERE {target}:KeyIssue RETURN {fields},s.summary LIMIT 10"
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logger.info(f"Generated guided Cypher: {cypher}")
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return cypher
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result = invoke_llm(binary_grader,{"question": query, "document": formatted_doc})
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logger.debug(f"Binary grader result for doc '{doc.get('title', 'N/A')}': {result}")
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if result and 'yes' in result.lower():
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valid_docs_with_scores.append((doc, 1.0))
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except Exception as e:
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logger.warning(f"Binary grading failed for a document: {e}", exc_info=True)
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