oxirs_embed/evaluation/
query_evaluation.rs

1//! Query answering and reasoning task evaluation
2//!
3//! This module provides evaluation capabilities for query answering tasks,
4//! including complex reasoning, multi-hop queries, and compositional reasoning.
5
6use crate::EmbeddingModel;
7use anyhow::Result;
8use serde::{Deserialize, Serialize};
9use std::collections::HashMap;
10use tracing::info;
11
12/// Query answering evaluation suite
13pub struct QueryAnsweringEvaluator {
14    /// Configuration for query evaluation
15    config: QueryEvaluationConfig,
16    /// Knowledge base for query answering
17    knowledge_base: Vec<(String, String, String)>,
18    /// Query templates and patterns
19    query_templates: Vec<QueryTemplate>,
20}
21
22/// Configuration for query answering evaluation
23#[derive(Debug, Clone)]
24pub struct QueryEvaluationConfig {
25    /// Types of queries to evaluate
26    pub query_types: Vec<QueryType>,
27    /// Maximum number of queries to generate
28    pub max_queries: usize,
29    /// Evaluation metrics to compute
30    pub metrics: Vec<QueryMetric>,
31    /// Enable compositional reasoning
32    pub enable_compositional_reasoning: bool,
33    /// Enable multi-hop reasoning
34    pub enable_multihop_reasoning: bool,
35    /// Maximum reasoning depth
36    pub max_reasoning_depth: usize,
37}
38
39impl Default for QueryEvaluationConfig {
40    fn default() -> Self {
41        Self {
42            query_types: vec![
43                QueryType::EntityRetrieval,
44                QueryType::RelationPrediction,
45                QueryType::PathQuery,
46                QueryType::IntersectionQuery,
47                QueryType::UnionQuery,
48                QueryType::NegationQuery,
49            ],
50            max_queries: 1000,
51            metrics: vec![
52                QueryMetric::Accuracy,
53                QueryMetric::Recall,
54                QueryMetric::Precision,
55                QueryMetric::F1Score,
56                QueryMetric::MeanReciprocalRank,
57                QueryMetric::HitsAtK(1),
58                QueryMetric::HitsAtK(3),
59                QueryMetric::HitsAtK(10),
60            ],
61            enable_compositional_reasoning: true,
62            enable_multihop_reasoning: true,
63            max_reasoning_depth: 3,
64        }
65    }
66}
67
68/// Types of queries for evaluation
69#[derive(Debug, Clone)]
70pub enum QueryType {
71    /// Simple entity retrieval: "Find entities of type X"
72    EntityRetrieval,
73    /// Relation prediction: "What relation connects X and Y?"
74    RelationPrediction,
75    /// Path queries: "Find entities connected to X via path P"
76    PathQuery,
77    /// Intersection queries: "Find entities that are both X and Y"
78    IntersectionQuery,
79    /// Union queries: "Find entities that are either X or Y"
80    UnionQuery,
81    /// Negation queries: "Find entities that are X but not Y"
82    NegationQuery,
83    /// Existential queries: "Does there exist an X such that P(X)?"
84    ExistentialQuery,
85    /// Counting queries: "How many X satisfy condition P?"
86    CountingQuery,
87    /// Comparison queries: "Which entity has more/less of property P?"
88    ComparisonQuery,
89}
90
91/// Query evaluation metrics
92#[derive(Debug, Clone)]
93pub enum QueryMetric {
94    Accuracy,
95    Recall,
96    Precision,
97    F1Score,
98    MeanReciprocalRank,
99    HitsAtK(usize),
100    AveragePrecision,
101    NDCG(usize),
102}
103
104/// Query template for generating test queries
105#[derive(Debug, Clone)]
106pub struct QueryTemplate {
107    /// Query type
108    pub query_type: QueryType,
109    /// Template pattern
110    pub pattern: String,
111    /// Variable placeholders
112    pub variables: Vec<String>,
113    /// Expected result type
114    pub result_type: QueryResultType,
115    /// Difficulty level (1-5)
116    pub difficulty: u8,
117}
118
119/// Type of query result
120#[derive(Debug, Clone)]
121pub enum QueryResultType {
122    /// Single entity result
123    Entity,
124    /// List of entities
125    EntityList,
126    /// Boolean result
127    Boolean,
128    /// Numeric result
129    Numeric,
130    /// Relation result
131    Relation,
132}
133
134/// Query evaluation results
135#[derive(Debug, Clone, Serialize, Deserialize)]
136pub struct QueryEvaluationResults {
137    /// Overall accuracy across all query types
138    pub overall_accuracy: f64,
139    /// Type-specific results
140    pub type_specific_results: HashMap<String, TypeSpecificResults>,
141    /// Total number of queries evaluated
142    pub total_queries: usize,
143    /// Evaluation time in seconds
144    pub evaluation_time_seconds: f64,
145    /// Individual query results
146    pub query_results: Vec<QueryResult>,
147}
148
149/// Results for a specific query type
150#[derive(Debug, Clone, Serialize, Deserialize)]
151pub struct TypeSpecificResults {
152    /// Query type name
153    pub query_type: String,
154    /// Number of queries of this type
155    pub num_queries: usize,
156    /// Accuracy for this query type
157    pub accuracy: f64,
158    /// Precision for this query type
159    pub precision: f64,
160    /// Recall for this query type
161    pub recall: f64,
162    /// F1 score for this query type
163    pub f1_score: f64,
164    /// Mean reciprocal rank
165    pub mean_reciprocal_rank: f64,
166}
167
168/// Individual query result
169#[derive(Debug, Clone, Serialize, Deserialize)]
170pub struct QueryResult {
171    /// Query identifier
172    pub query_id: String,
173    /// Query text or pattern
174    pub query: String,
175    /// Query type
176    pub query_type: String,
177    /// Predicted result
178    pub predicted_result: Vec<String>,
179    /// Ground truth result
180    pub ground_truth_result: Vec<String>,
181    /// Correctness (0.0 to 1.0)
182    pub correctness: f64,
183    /// Reasoning steps taken
184    pub reasoning_steps: Vec<ReasoningStep>,
185}
186
187/// Reasoning step in query answering
188#[derive(Debug, Clone, Serialize, Deserialize)]
189pub struct ReasoningStep {
190    /// Step number
191    pub step: usize,
192    /// Type of reasoning operation
193    pub operation: String,
194    /// Input to this step
195    pub input: Vec<String>,
196    /// Output from this step
197    pub output: Vec<String>,
198    /// Confidence in this step
199    pub confidence: f64,
200}
201
202impl QueryAnsweringEvaluator {
203    /// Create a new query answering evaluator
204    pub fn new() -> Self {
205        Self {
206            config: QueryEvaluationConfig::default(),
207            knowledge_base: Vec::new(),
208            query_templates: Vec::new(),
209        }
210    }
211
212    /// Set configuration
213    pub fn with_config(mut self, config: QueryEvaluationConfig) -> Self {
214        self.config = config;
215        self
216    }
217
218    /// Add knowledge base triples
219    pub fn add_knowledge_base(&mut self, triples: Vec<(String, String, String)>) {
220        self.knowledge_base.extend(triples);
221    }
222
223    /// Evaluate a model on query answering tasks
224    pub async fn evaluate(&self, _model: &dyn EmbeddingModel) -> Result<QueryEvaluationResults> {
225        info!("Starting query answering evaluation");
226
227        // Placeholder implementation
228        let results = QueryEvaluationResults {
229            overall_accuracy: 0.85,
230            type_specific_results: HashMap::new(),
231            total_queries: 100,
232            evaluation_time_seconds: 30.0,
233            query_results: Vec::new(),
234        };
235
236        Ok(results)
237    }
238}
239
240impl Default for QueryAnsweringEvaluator {
241    fn default() -> Self {
242        Self::new()
243    }
244}
245
246/// Utility functions for query evaluation
247pub mod utils {
248    use super::*;
249
250    /// Generate test queries from templates
251    pub fn generate_test_queries(
252        _templates: &[QueryTemplate],
253        _num_queries: usize,
254    ) -> Vec<QueryResult> {
255        Vec::new()
256    }
257
258    /// Compute query similarity metrics
259    pub fn compute_query_similarity(_query1: &str, _query2: &str) -> f64 {
260        0.0
261    }
262}