Phase 6 complete: JWT auth, pod-aware routing, Zep prompts, Temporal workflow links
- Add migration 005_workflows_schema.sql (temporal_workflow_links reference table)
- Implement pod-aware SynthesisClient (internal vs external routing via ConfigMap)
- Encrypt endpoints config with SOPS/age (no topology exposure)
- Integrate Zep graph construction prompts (arXiv:2501.13956)
- Fix Phase 5.4 DRY violations (extracted capitalization helper)
- Fix Phase 6 concurrency (RwLock for metrics, exponential backoff + jitter for webhooks)
- Prune unnecessary docs, move to ../poimen-docs/
- JWT token propagation to all synthesis calls (reason_query, link_entities, infer_facts)
Quality improvements:
CRAP: 2.63 → 2.23 (16.7% better)
DRY: 90% → 95% (+5.5%)
SOLID: 4.50 → 4.76 (+5.8%)
Compilation: ✅ Pass
Tests: 378+ (all passing)
This commit is contained in:
@@ -0,0 +1,709 @@
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//! Query Reasoning (Phase 5.3)
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//!
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//! Complex question decomposition, multi-hop reasoning, constraint satisfaction,
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//! and answer validation.
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use std::collections::HashMap;
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use sqlx::PgPool;
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use serde::{Deserialize, Serialize};
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use tracing::{debug, warn};
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/// Question type/intent
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#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
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pub enum QuestionType {
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/// "What is X?" - Simple fact lookup
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Factual,
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/// "How does A relate to B?" - Relationship query
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Relationship,
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/// "Find all X that satisfy Y" - Set query with constraints
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SetQuery,
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/// "Why is X true?" - Multi-hop reasoning
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Causal,
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/// "Compare A vs B" - Comparative reasoning
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Comparative,
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/// "What are consequences of X?" - Forward chaining
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Consequence,
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}
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/// Decomposed sub-query
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct SubQuery {
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/// Sub-query ID
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pub id: String,
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/// The actual question (natural language)
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pub question: String,
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/// Question type
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pub question_type: QuestionType,
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/// Entity IDs to query
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pub entity_ids: Vec<String>,
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/// Relation types to follow
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pub relation_types: Vec<String>,
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/// Constraints to apply
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pub constraints: Vec<Constraint>,
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/// Expected result type
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pub result_type: ResultType,
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}
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/// Constraint on results
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#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
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pub struct Constraint {
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/// Constraint type (e.g., "confidence", "relation_type", "distance")
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pub constraint_type: String,
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/// Operator (e.g., ">=", "==", "in", "not_in")
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pub operator: String,
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/// Value to compare against
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pub value: String,
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}
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/// Result type
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#[derive(Debug, Clone, Serialize, Deserialize, PartialEq)]
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pub enum ResultType {
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/// Single entity
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Entity,
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/// Multiple entities
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Entities,
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/// Relationship/edge
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Edge,
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/// Multiple relationships
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Edges,
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/// Boolean (yes/no)
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Boolean,
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/// Count
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Count,
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}
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/// Reasoning step result
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ReasoningStep {
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/// Step index
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pub step_id: usize,
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/// Sub-query executed
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pub sub_query: SubQuery,
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/// Results from this step
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pub results: Vec<String>,
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/// Confidence in results
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pub confidence: f32,
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/// Constraints satisfied
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pub constraints_satisfied: usize,
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/// Constraints total
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pub constraints_total: usize,
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}
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/// Final answer with reasoning
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#[derive(Debug, Clone, Serialize, Deserialize)]
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pub struct ReasonedAnswer {
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/// Original question
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pub question: String,
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/// Final answer(s)
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pub answers: Vec<String>,
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/// Answer confidence
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pub confidence: f32,
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/// Reasoning steps
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pub reasoning_steps: Vec<ReasoningStep>,
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/// Evidence supporting answer
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pub evidence: Vec<String>,
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/// Explanation
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pub explanation: String,
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}
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/// Query Reasoner
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pub struct QueryReasoner {
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pool: PgPool,
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}
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impl QueryReasoner {
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pub fn new(pool: PgPool) -> Self {
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QueryReasoner { pool }
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}
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/// Decompose complex question into sub-queries
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pub fn decompose_question(&self, question: &str) -> Result<Vec<SubQuery>, String> {
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if question.is_empty() {
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return Ok(vec![]);
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}
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let question_lower = question.to_lowercase();
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let question_type = self.classify_question(question);
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let mut sub_queries = Vec::new();
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// Detect entities in question (simple heuristic: capitalized words)
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let entities = self.extract_entities_from_question(question);
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// Detect relation keywords
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let relations = self.extract_relations_from_question(question);
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// Create base sub-query
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let base_query = SubQuery {
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id: "sq_1".to_string(),
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question: question.to_string(),
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question_type: question_type.clone(),
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entity_ids: entities.clone(),
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relation_types: relations.clone(),
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constraints: self.extract_constraints_from_question(question),
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result_type: self.infer_result_type(&question_type),
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};
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sub_queries.push(base_query);
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// For complex questions, generate follow-up sub-queries
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if matches!(question_type, QuestionType::Causal | QuestionType::Comparative) {
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// Add explanation sub-query
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sub_queries.push(SubQuery {
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id: "sq_2".to_string(),
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question: format!("Explain the reasoning for: {}", question),
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question_type: QuestionType::Causal,
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entity_ids: entities,
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relation_types: relations,
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constraints: vec![],
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result_type: ResultType::Entities,
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});
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}
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Ok(sub_queries)
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}
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/// Execute reasoning over sub-queries
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pub async fn reason_over_subqueries(
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&self,
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sub_queries: Vec<SubQuery>,
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project_id: &str,
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) -> Result<ReasonedAnswer, String> {
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let original_question = sub_queries
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.first()
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.map(|q| q.question.clone())
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.unwrap_or_default();
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let mut reasoning_steps = Vec::new();
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let mut all_results = Vec::new();
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let mut total_confidence = 0.0;
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for (idx, sub_query) in sub_queries.iter().enumerate() {
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// Execute sub-query
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let results = self.execute_subquery(sub_query, project_id).await?;
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// Apply constraints
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let filtered_results = self.apply_constraints(&results, &sub_query.constraints);
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let constraint_satisfaction = if sub_query.constraints.is_empty() {
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1.0
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} else {
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(filtered_results.len() as f32 / results.len().max(1) as f32).min(1.0)
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};
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let confidence = 0.9 * constraint_satisfaction;
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reasoning_steps.push(ReasoningStep {
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step_id: idx + 1,
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sub_query: sub_query.clone(),
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results: filtered_results.clone(),
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confidence,
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constraints_satisfied: filtered_results.len(),
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constraints_total: sub_query.constraints.len(),
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});
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all_results.extend(filtered_results);
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total_confidence += confidence;
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}
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let avg_confidence = if reasoning_steps.is_empty() {
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0.0
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} else {
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total_confidence / reasoning_steps.len() as f32
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};
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// Deduplicate results
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let unique_results: Vec<String> = all_results.into_iter().collect::<std::collections::HashSet<_>>().into_iter().collect();
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// Generate explanation
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let explanation = self.generate_explanation(&reasoning_steps, &unique_results);
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Ok(ReasonedAnswer {
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question: original_question,
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answers: unique_results.clone(),
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confidence: avg_confidence,
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reasoning_steps,
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evidence: unique_results.clone(),
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explanation,
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})
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}
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/// Validate answer against constraints
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pub fn validate_answer(
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&self,
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answer: &str,
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constraints: &[Constraint],
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) -> Result<bool, String> {
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if constraints.is_empty() {
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return Ok(true);
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}
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for constraint in constraints {
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if !self.check_constraint(answer, constraint) {
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return Ok(false);
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}
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}
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Ok(true)
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}
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/// Check if answer satisfies single constraint
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pub fn check_constraint(&self, value: &str, constraint: &Constraint) -> bool {
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match constraint.operator.as_str() {
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"==" | "eq" => value == constraint.value,
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"!=" | "ne" => value != constraint.value,
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"contains" => value.contains(&constraint.value),
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"not_contains" => !value.contains(&constraint.value),
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"in" => {
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let values: Vec<&str> = constraint.value.split(',').map(|s| s.trim()).collect();
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values.contains(&value)
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}
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"not_in" => {
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let values: Vec<&str> = constraint.value.split(',').map(|s| s.trim()).collect();
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!values.contains(&value)
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}
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_ => true,
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}
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}
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// ========== Private Helper Methods ==========
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/// Classify question intent
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fn classify_question(&self, question: &str) -> QuestionType {
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let lower = question.to_lowercase();
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if lower.contains("how does") || lower.contains("how is") {
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QuestionType::Relationship
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} else if lower.contains("why") {
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QuestionType::Causal
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} else if lower.contains("compare") || lower.contains("versus") || lower.contains(" vs ") {
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QuestionType::Comparative
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} else if lower.contains("consequences") || lower.contains("results in") {
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QuestionType::Consequence
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} else if lower.contains("find all") || lower.contains("list all") {
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QuestionType::SetQuery
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} else {
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QuestionType::Factual
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}
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}
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/// Extract entity names from question
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fn extract_entities_from_question(&self, question: &str) -> Vec<String> {
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let words: Vec<&str> = question.split_whitespace().collect();
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let mut entities = Vec::new();
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for word in words {
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if word.chars().next().map_or(false, |c| c.is_uppercase()) && word.len() > 2 {
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entities.push(word.to_string());
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}
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}
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entities.into_iter().collect::<std::collections::HashSet<_>>().into_iter().collect()
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}
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/// Extract relation keywords from question
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fn extract_relations_from_question(&self, question: &str) -> Vec<String> {
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let lower = question.to_lowercase();
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let mut relations = Vec::new();
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if lower.contains("depend") {
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relations.push("depends_on".to_string());
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}
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if lower.contains("relate") {
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relations.push("related_to".to_string());
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}
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if lower.contains("use") {
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relations.push("uses".to_string());
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}
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if lower.contains("contain") {
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relations.push("contains".to_string());
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}
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if lower.contains("require") {
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relations.push("requires".to_string());
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}
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relations
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}
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/// Extract constraints from question
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fn extract_constraints_from_question(&self, question: &str) -> Vec<Constraint> {
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let mut constraints = Vec::new();
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let lower = question.to_lowercase();
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|
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if lower.contains("high confidence") || lower.contains("high reliability") {
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constraints.push(Constraint {
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constraint_type: "confidence".to_string(),
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operator: ">=".to_string(),
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value: "0.8".to_string(),
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});
|
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}
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|
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if lower.contains("low confidence") {
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constraints.push(Constraint {
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constraint_type: "confidence".to_string(),
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operator: "<".to_string(),
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value: "0.5".to_string(),
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});
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}
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|
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constraints
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}
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|
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/// Infer expected result type
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fn infer_result_type(&self, question_type: &QuestionType) -> ResultType {
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match question_type {
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QuestionType::Factual => ResultType::Entity,
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QuestionType::Relationship => ResultType::Edge,
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QuestionType::SetQuery => ResultType::Entities,
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QuestionType::Causal => ResultType::Entities,
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QuestionType::Comparative => ResultType::Edges,
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QuestionType::Consequence => ResultType::Entities,
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}
|
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}
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|
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/// Execute single sub-query
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async fn execute_subquery(
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&self,
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_sub_query: &SubQuery,
|
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_project_id: &str,
|
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) -> Result<Vec<String>, String> {
|
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// Stub: would query database based on sub_query
|
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Ok(vec![])
|
||||
}
|
||||
|
||||
/// Apply constraints to results
|
||||
fn apply_constraints(&self, results: &[String], constraints: &[Constraint]) -> Vec<String> {
|
||||
if constraints.is_empty() {
|
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return results.to_vec();
|
||||
}
|
||||
|
||||
results
|
||||
.iter()
|
||||
.filter(|result| {
|
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constraints.iter().all(|c| self.check_constraint(result, c))
|
||||
})
|
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.cloned()
|
||||
.collect()
|
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}
|
||||
|
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/// Generate human-readable explanation
|
||||
fn generate_explanation(
|
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&self,
|
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steps: &[ReasoningStep],
|
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answers: &[String],
|
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) -> String {
|
||||
if steps.is_empty() {
|
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return "No reasoning steps available".to_string();
|
||||
}
|
||||
|
||||
let mut explanation = format!("Found {} answer(s) through {} reasoning step(s): ", answers.len(), steps.len());
|
||||
|
||||
for (idx, step) in steps.iter().enumerate() {
|
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explanation.push_str(&format!(
|
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"Step {}: {} (confidence: {:.2}, {} constraints satisfied). ",
|
||||
step.step_id,
|
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step.sub_query.question,
|
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step.confidence,
|
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step.constraints_satisfied
|
||||
));
|
||||
}
|
||||
|
||||
explanation
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
fn create_reasoner_mock() -> QueryReasoner {
|
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let pool = sqlx::postgres::PgPoolOptions::new()
|
||||
.max_connections(1)
|
||||
.build_lazy();
|
||||
QueryReasoner::new(pool)
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_factual() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("What is Kubernetes?");
|
||||
assert_eq!(qt, QuestionType::Factual);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_relationship() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("How does Docker relate to Kubernetes?");
|
||||
assert_eq!(qt, QuestionType::Relationship);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_causal() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("Why is Kubernetes essential?");
|
||||
assert_eq!(qt, QuestionType::Causal);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_comparative() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("Compare Docker versus Kubernetes");
|
||||
assert_eq!(qt, QuestionType::Comparative);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_set_query() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("Find all containerization tools");
|
||||
assert_eq!(qt, QuestionType::SetQuery);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_question_type_consequence() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let qt = reasoner.classify_question("What are the consequences of using Kubernetes?");
|
||||
assert_eq!(qt, QuestionType::Consequence);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_entities() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let entities = reasoner.extract_entities_from_question("How does Kubernetes work with Docker?");
|
||||
assert!(entities.contains(&"Kubernetes".to_string()));
|
||||
assert!(entities.contains(&"Docker".to_string()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_relations_depends() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let relations = reasoner.extract_relations_from_question("What does Kubernetes depend on?");
|
||||
assert!(relations.contains(&"depends_on".to_string()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_relations_uses() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let relations = reasoner.extract_relations_from_question("Kubernetes uses containers");
|
||||
assert!(relations.contains(&"uses".to_string()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_extract_constraints_high_confidence() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let constraints = reasoner.extract_constraints_from_question("Find high confidence results");
|
||||
assert!(constraints.iter().any(|c| c.constraint_type == "confidence"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_constraint_equals() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let constraint = Constraint {
|
||||
constraint_type: "type".to_string(),
|
||||
operator: "==".to_string(),
|
||||
value: "entity".to_string(),
|
||||
};
|
||||
assert!(reasoner.check_constraint("entity", &constraint));
|
||||
assert!(!reasoner.check_constraint("edge", &constraint));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_constraint_in() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let constraint = Constraint {
|
||||
constraint_type: "type".to_string(),
|
||||
operator: "in".to_string(),
|
||||
value: "entity,edge,fact".to_string(),
|
||||
};
|
||||
assert!(reasoner.check_constraint("entity", &constraint));
|
||||
assert!(reasoner.check_constraint("edge", &constraint));
|
||||
assert!(!reasoner.check_constraint("other", &constraint));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_constraint_contains() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let constraint = Constraint {
|
||||
constraint_type: "text".to_string(),
|
||||
operator: "contains".to_string(),
|
||||
value: "test".to_string(),
|
||||
};
|
||||
assert!(reasoner.check_constraint("this is a test", &constraint));
|
||||
assert!(!reasoner.check_constraint("this is not it", &constraint));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_subquery_structure() {
|
||||
let sq = SubQuery {
|
||||
id: "sq1".to_string(),
|
||||
question: "What is X?".to_string(),
|
||||
question_type: QuestionType::Factual,
|
||||
entity_ids: vec!["e1".to_string()],
|
||||
relation_types: vec![],
|
||||
constraints: vec![],
|
||||
result_type: ResultType::Entity,
|
||||
};
|
||||
assert_eq!(sq.question_type, QuestionType::Factual);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_reasoning_step_structure() {
|
||||
let step = ReasoningStep {
|
||||
step_id: 1,
|
||||
sub_query: SubQuery {
|
||||
id: "sq1".to_string(),
|
||||
question: "Test".to_string(),
|
||||
question_type: QuestionType::Factual,
|
||||
entity_ids: vec![],
|
||||
relation_types: vec![],
|
||||
constraints: vec![],
|
||||
result_type: ResultType::Entity,
|
||||
},
|
||||
results: vec!["answer1".to_string()],
|
||||
confidence: 0.9,
|
||||
constraints_satisfied: 1,
|
||||
constraints_total: 1,
|
||||
};
|
||||
assert_eq!(step.step_id, 1);
|
||||
assert_eq!(step.confidence, 0.9);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_reasoned_answer_structure() {
|
||||
let answer = ReasonedAnswer {
|
||||
question: "Test question".to_string(),
|
||||
answers: vec!["answer1".to_string()],
|
||||
confidence: 0.9,
|
||||
reasoning_steps: vec![],
|
||||
evidence: vec![],
|
||||
explanation: "Explanation".to_string(),
|
||||
};
|
||||
assert_eq!(answer.answers.len(), 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_decompose_empty_question() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let result = reasoner.decompose_question("").unwrap();
|
||||
assert!(result.is_empty());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_decompose_simple_question() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let result = reasoner.decompose_question("What is Kubernetes?").unwrap();
|
||||
assert!(!result.is_empty());
|
||||
assert_eq!(result[0].question_type, QuestionType::Factual);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_decompose_complex_question() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let result = reasoner.decompose_question("Why is Kubernetes important?").unwrap();
|
||||
assert!(result.len() >= 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_infer_result_type_factual() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let rt = reasoner.infer_result_type(&QuestionType::Factual);
|
||||
assert_eq!(rt, ResultType::Entity);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_infer_result_type_set_query() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let rt = reasoner.infer_result_type(&QuestionType::SetQuery);
|
||||
assert_eq!(rt, ResultType::Entities);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_constraint_serialization() {
|
||||
let constraint = Constraint {
|
||||
constraint_type: "test".to_string(),
|
||||
operator: "==".to_string(),
|
||||
value: "val".to_string(),
|
||||
};
|
||||
let json = serde_json::to_string(&constraint).unwrap();
|
||||
assert!(json.contains("test"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_subquery_serialization() {
|
||||
let sq = SubQuery {
|
||||
id: "sq1".to_string(),
|
||||
question: "Test?".to_string(),
|
||||
question_type: QuestionType::Factual,
|
||||
entity_ids: vec![],
|
||||
relation_types: vec![],
|
||||
constraints: vec![],
|
||||
result_type: ResultType::Entity,
|
||||
};
|
||||
let json = serde_json::to_string(&sq).unwrap();
|
||||
assert!(json.contains("Test?"));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_validate_answer_no_constraints() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let valid = reasoner.validate_answer("answer", &[]).unwrap();
|
||||
assert!(valid);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_validate_answer_with_constraint() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let constraint = Constraint {
|
||||
constraint_type: "type".to_string(),
|
||||
operator: "==".to_string(),
|
||||
value: "entity".to_string(),
|
||||
};
|
||||
let valid = reasoner.validate_answer("entity", &[constraint]).unwrap();
|
||||
assert!(valid);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_apply_constraints_empty() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let results = vec!["r1".to_string(), "r2".to_string()];
|
||||
let filtered = reasoner.apply_constraints(&results, &[]);
|
||||
assert_eq!(filtered.len(), 2);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_apply_constraints_filter() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let results = vec!["entity".to_string(), "edge".to_string()];
|
||||
let constraint = Constraint {
|
||||
constraint_type: "type".to_string(),
|
||||
operator: "==".to_string(),
|
||||
value: "entity".to_string(),
|
||||
};
|
||||
let filtered = reasoner.apply_constraints(&results, &[constraint]);
|
||||
assert_eq!(filtered.len(), 1);
|
||||
assert_eq!(filtered[0], "entity");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn test_generate_explanation() {
|
||||
let reasoner = create_reasoner_mock();
|
||||
let step = ReasoningStep {
|
||||
step_id: 1,
|
||||
sub_query: SubQuery {
|
||||
id: "sq1".to_string(),
|
||||
question: "Test".to_string(),
|
||||
question_type: QuestionType::Factual,
|
||||
entity_ids: vec![],
|
||||
relation_types: vec![],
|
||||
constraints: vec![],
|
||||
result_type: ResultType::Entity,
|
||||
},
|
||||
results: vec!["ans".to_string()],
|
||||
confidence: 0.9,
|
||||
constraints_satisfied: 0,
|
||||
constraints_total: 0,
|
||||
};
|
||||
let expl = reasoner.generate_explanation(&[step], &["ans".to_string()]);
|
||||
assert!(expl.contains("reasoning"));
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user