1use crate::EmbeddingModel;
7use anyhow::Result;
8use serde::{Deserialize, Serialize};
9use std::collections::HashMap;
10use tracing::info;
11
12pub struct QueryAnsweringEvaluator {
14 config: QueryEvaluationConfig,
16 knowledge_base: Vec<(String, String, String)>,
18 query_templates: Vec<QueryTemplate>,
20}
21
22#[derive(Debug, Clone)]
24pub struct QueryEvaluationConfig {
25 pub query_types: Vec<QueryType>,
27 pub max_queries: usize,
29 pub metrics: Vec<QueryMetric>,
31 pub enable_compositional_reasoning: bool,
33 pub enable_multihop_reasoning: bool,
35 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#[derive(Debug, Clone)]
70pub enum QueryType {
71 EntityRetrieval,
73 RelationPrediction,
75 PathQuery,
77 IntersectionQuery,
79 UnionQuery,
81 NegationQuery,
83 ExistentialQuery,
85 CountingQuery,
87 ComparisonQuery,
89}
90
91#[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#[derive(Debug, Clone)]
106pub struct QueryTemplate {
107 pub query_type: QueryType,
109 pub pattern: String,
111 pub variables: Vec<String>,
113 pub result_type: QueryResultType,
115 pub difficulty: u8,
117}
118
119#[derive(Debug, Clone)]
121pub enum QueryResultType {
122 Entity,
124 EntityList,
126 Boolean,
128 Numeric,
130 Relation,
132}
133
134#[derive(Debug, Clone, Serialize, Deserialize)]
136pub struct QueryEvaluationResults {
137 pub overall_accuracy: f64,
139 pub type_specific_results: HashMap<String, TypeSpecificResults>,
141 pub total_queries: usize,
143 pub evaluation_time_seconds: f64,
145 pub query_results: Vec<QueryResult>,
147}
148
149#[derive(Debug, Clone, Serialize, Deserialize)]
151pub struct TypeSpecificResults {
152 pub query_type: String,
154 pub num_queries: usize,
156 pub accuracy: f64,
158 pub precision: f64,
160 pub recall: f64,
162 pub f1_score: f64,
164 pub mean_reciprocal_rank: f64,
166}
167
168#[derive(Debug, Clone, Serialize, Deserialize)]
170pub struct QueryResult {
171 pub query_id: String,
173 pub query: String,
175 pub query_type: String,
177 pub predicted_result: Vec<String>,
179 pub ground_truth_result: Vec<String>,
181 pub correctness: f64,
183 pub reasoning_steps: Vec<ReasoningStep>,
185}
186
187#[derive(Debug, Clone, Serialize, Deserialize)]
189pub struct ReasoningStep {
190 pub step: usize,
192 pub operation: String,
194 pub input: Vec<String>,
196 pub output: Vec<String>,
198 pub confidence: f64,
200}
201
202impl QueryAnsweringEvaluator {
203 pub fn new() -> Self {
205 Self {
206 config: QueryEvaluationConfig::default(),
207 knowledge_base: Vec::new(),
208 query_templates: Vec::new(),
209 }
210 }
211
212 pub fn with_config(mut self, config: QueryEvaluationConfig) -> Self {
214 self.config = config;
215 self
216 }
217
218 pub fn add_knowledge_base(&mut self, triples: Vec<(String, String, String)>) {
220 self.knowledge_base.extend(triples);
221 }
222
223 pub async fn evaluate(&self, _model: &dyn EmbeddingModel) -> Result<QueryEvaluationResults> {
225 info!("Starting query answering evaluation");
226
227 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
246pub mod utils {
248 use super::*;
249
250 pub fn generate_test_queries(
252 _templates: &[QueryTemplate],
253 _num_queries: usize,
254 ) -> Vec<QueryResult> {
255 Vec::new()
256 }
257
258 pub fn compute_query_similarity(_query1: &str, _query2: &str) -> f64 {
260 0.0
261 }
262}