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//! Core fuzzy query engine and types
//!
//! This module defines the main data structures and engine for executing fuzzy queries
//! against k-mer databases.
use crate::database::format::RKDatabase;
use crate::fuzzy::{constants, expansion, FuzzyError, FuzzyResult, PerformanceMetrics};
pub type FuzzyQueryResult<T> = Result<T, crate::fuzzy::FuzzyError>;
use serde::{Deserialize, Serialize};
use std::collections::HashSet;
use std::time::Instant;
/// Configuration for position-specific mutation limits
#[derive(Debug, Clone, Serialize, Deserialize, Default)]
pub struct PositionMutationConfig {
/// Multiple position groups with independent limits
pub groups: Vec<PositionMutationGroup>,
/// Global mutation limit across all groups (optional)
pub global_max_mutations: Option<usize>,
}
/// A single group of positions with shared mutation limits
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PositionMutationGroup {
/// Positions where mutations are allowed (0-based, sorted, unique)
pub positions: Vec<usize>,
/// Maximum number of mutations allowed in this group
pub max_mutations: usize,
/// Optional group name for debugging/logging
#[serde(skip)]
pub group_name: Option<String>,
}
impl PositionMutationConfig {
/// Parse from string format like "3,4,5:2;6,7:1" or "4-7:1;10,12:2"
pub fn parse(input: &str) -> FuzzyResult<Self> {
let mut config = PositionMutationConfig::default();
if input.trim().is_empty() {
return Ok(config);
}
for (group_idx, group_str) in input.split(';').enumerate() {
let group_str = group_str.trim();
if group_str.is_empty() {
continue;
}
let (positions_str, limit_str) = group_str.split_once(':').ok_or_else(|| {
FuzzyError::InvalidParameters(format!(
"Invalid group format '{}', expected 'positions:limit'",
group_str
))
})?;
let mut positions = Vec::new();
for s in positions_str.split(',') {
let trimmed = s.trim();
if trimmed.is_empty() {
return Err(FuzzyError::InvalidParameters(format!(
"Group '{}': empty position specified",
group_str
)));
}
// Check if it's a range like "4-7"
if let Some((start_str, end_str)) = trimmed.split_once('-') {
if let (Ok(start), Ok(end)) =
(start_str.parse::<usize>(), end_str.parse::<usize>())
{
if start <= end {
positions.extend(start..=end);
continue;
}
}
// Invalid range format
return Err(FuzzyError::InvalidParameters(format!(
"Group '{}': invalid range format '{}'",
group_str, trimmed
)));
}
// Single position parsing
if let Ok(pos) = trimmed.parse::<usize>() {
positions.push(pos);
} else {
return Err(FuzzyError::InvalidParameters(format!(
"Group '{}': invalid position '{}'",
group_str, trimmed
)));
}
}
// Validate that we have at least one position
if positions.is_empty() {
return Err(FuzzyError::InvalidParameters(format!(
"Group '{}': no valid positions specified",
group_str
)));
}
let max_mutations: usize = limit_str.trim().parse().map_err(|_| {
FuzzyError::InvalidParameters(format!(
"Invalid mutation limit '{}'",
limit_str.trim()
))
})?;
config.groups.push(PositionMutationGroup {
positions,
max_mutations,
group_name: Some(format!("group_{}", group_idx)),
});
}
Ok(config)
}
/// Validate all groups
pub fn validate(&self, sequence_length: usize) -> FuzzyResult<()> {
let mut all_positions = HashSet::new();
for (idx, group) in self.groups.iter().enumerate() {
// Validate positions are within bounds
for &pos in &group.positions {
if pos >= sequence_length {
return Err(FuzzyError::InvalidParameters(format!(
"Group {}: Position {} exceeds sequence length {} (valid: 0-{})",
idx,
pos,
sequence_length,
sequence_length - 1
)));
}
}
// Check for overlap with previous groups
for &pos in &group.positions {
if !all_positions.insert(pos) {
return Err(FuzzyError::InvalidParameters(format!(
"Group {}: Position {} already used in another group",
idx, pos
)));
}
}
// Validate mutation limit
if group.max_mutations > group.positions.len() {
return Err(FuzzyError::InvalidParameters(format!(
"Group {}: Max mutations ({}) cannot exceed number of positions ({})",
idx,
group.max_mutations,
group.positions.len()
)));
}
}
Ok(())
}
}
/// Main fuzzy query configuration
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FuzzyQuery {
/// The input query string (may contain 'N' wildcards)
pub query_string: String,
/// Target k-mer size for the database
pub kmer_size: usize,
/// Maximum allowed Hamming distance for mutations
pub mutation_tolerance: usize,
/// Maximum number of variants to generate (combinatorial explosion protection)
pub max_variants: Option<usize>,
/// Whether to enable parallel processing (deprecated - always uses sequential processing)
pub enable_parallel: bool,
/// Batch size for processing variants
pub batch_size: usize,
/// Position-specific mutation constraints (optional)
pub position_mutations: Option<PositionMutationConfig>,
}
impl FuzzyQuery {
/// Create a new fuzzy query with default parameters
pub fn new(query_string: &str, kmer_size: usize, mutation_tolerance: usize) -> Self {
Self {
query_string: query_string.to_string(),
kmer_size,
mutation_tolerance,
max_variants: Some(constants::DEFAULT_MAX_VARIANTS),
enable_parallel: false, // Always sequential processing
batch_size: constants::DEFAULT_BATCH_SIZE,
position_mutations: None,
}
}
/// Create a fuzzy query with custom parameters
pub fn with_params(
query_string: &str,
kmer_size: usize,
mutation_tolerance: usize,
max_variants: Option<usize>,
_enable_parallel: bool, // Ignored - always uses sequential processing
batch_size: usize,
) -> Self {
Self {
query_string: query_string.to_string(),
kmer_size,
mutation_tolerance,
max_variants,
enable_parallel: false, // Always sequential processing
batch_size,
position_mutations: None,
}
}
/// Create a fuzzy query with position mutation constraints
pub fn with_position_mutations(
query_string: &str,
kmer_size: usize,
mutation_tolerance: usize,
max_variants: Option<usize>,
_enable_parallel: bool, // Ignored - always uses sequential processing
batch_size: usize,
position_mutations: Option<PositionMutationConfig>,
) -> Self {
Self {
query_string: query_string.to_string(),
kmer_size,
mutation_tolerance,
max_variants,
enable_parallel: false, // Always sequential processing
batch_size,
position_mutations,
}
}
/// Validate the query parameters
pub fn validate(&self) -> FuzzyResult<()> {
// Validate query string characters
if !self
.query_string
.chars()
.all(|c| matches!(c, 'A' | 'T' | 'C' | 'G' | 'N'))
{
return Err(FuzzyError::InvalidQuery(
"Query contains invalid characters (only A,T,C,G,N allowed)".to_string(),
));
}
// Validate query string length
if self.query_string.is_empty() {
return Err(FuzzyError::InvalidQuery(
"Query string cannot be empty".to_string(),
));
}
if self.query_string.len() > 1000 {
return Err(FuzzyError::InvalidQuery(
"Query string too long (max 1000 characters)".to_string(),
));
}
// Validate k-mer size
if self.kmer_size == 0 {
return Err(FuzzyError::InvalidParameters(
"k-mer size must be > 0".to_string(),
));
}
// Validate mutation tolerance (only if not using position mutations)
if self.position_mutations.is_none()
&& self.mutation_tolerance
> (self.kmer_size as f64 * constants::MAX_MUTATION_RATIO) as usize
{
return Err(FuzzyError::InvalidParameters(
"Mutation tolerance too high (max k/2)".to_string(),
));
}
// Validate batch size
if self.batch_size == 0 {
return Err(FuzzyError::InvalidParameters(
"Batch size must be > 0".to_string(),
));
}
// Validate position mutations if specified
if let Some(ref position_config) = self.position_mutations {
position_config.validate(self.query_string.len())?;
}
Ok(())
}
}
/// Represents the aggregated result from fuzzy query operations
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct FuzzyQueryResultData {
/// Total count of all matching k-mers
pub total_count: u64,
/// Individual matches with their counts and query metadata
pub individual_matches: Vec<KmerMatch>,
/// Query metadata and performance information
pub query_metadata: QueryMetadata,
/// Success/failure status
pub status: QueryStatus,
}
/// Represents an individual k-mer match
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KmerMatch {
/// The matching k-mer sequence
pub sequence: String,
/// Count of this k-mer in the database
pub count: u64,
/// How this match relates to the original query
pub match_type: MatchType,
/// Hamming distance from original query (if applicable)
pub hamming_distance: Option<usize>,
}
/// Types of matches that can occur during fuzzy querying
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MatchType {
/// Exact match to original query
Exact,
/// Generated from wildcard expansion
WildcardExpansion { wildcard_positions: Vec<usize> },
/// Generated from mutation tolerance
MutationTolerance { mutation_positions: Vec<usize> },
/// Generated from length normalization
LengthNormalization,
}
/// Metadata about the query execution
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct QueryMetadata {
/// Original query parameters
pub query_params: FuzzyQuery,
/// Number of variants generated and queried
pub variants_generated: usize,
/// Total query execution time in milliseconds
pub query_time_ms: u64,
/// Database size (number of k-mers)
pub database_size: Option<u64>,
/// Memory usage statistics
pub memory_usage_mb: Option<f64>,
}
/// Query execution status
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum QueryStatus {
/// Query completed successfully
Success,
/// Query failed due to combinatorial explosion
CombinatorialExplosion,
/// Query failed due to invalid parameters
InvalidParameters,
/// Query failed due to database error
DatabaseError,
/// Query cancelled by user
Cancelled,
}
/// Main fuzzy query engine
pub struct FuzzyQueryEngine {
database: RKDatabase,
}
impl FuzzyQueryEngine {
/// Create a new fuzzy query engine with the given database
pub fn new(database: RKDatabase) -> Self {
Self { database }
}
/// Execute a fuzzy query and return results
pub fn execute_query(&self, query: &FuzzyQuery) -> FuzzyQueryResult<FuzzyQueryResultData> {
let start_time = Instant::now();
// Validate query parameters
query.validate()?;
// Generate query expansion
let expansion = expansion::generate_query_expansion(query)?;
// Check combinatorial explosion protection
if let Some(max_variants) = query.max_variants {
if expansion.combination_count > max_variants {
return Ok(FuzzyQueryResultData {
total_count: 0,
individual_matches: vec![],
query_metadata: QueryMetadata {
query_params: query.clone(),
variants_generated: expansion.combination_count,
query_time_ms: start_time.elapsed().as_millis() as u64,
database_size: self.database.size(),
memory_usage_mb: None,
},
status: QueryStatus::CombinatorialExplosion,
});
}
}
// Execute database queries for all variants
let individual_matches = self.query_variants(&expansion.concrete_kmers)?;
// Calculate total count
let total_count: u64 = individual_matches.iter().map(|m| m.count).sum();
// Calculate query time
let query_time_ms = start_time.elapsed().as_millis() as u64;
Ok(FuzzyQueryResultData {
total_count,
individual_matches,
query_metadata: QueryMetadata {
query_params: query.clone(),
variants_generated: expansion.combination_count,
query_time_ms,
database_size: self.database.size(),
memory_usage_mb: None, // TODO: Implement memory tracking
},
status: QueryStatus::Success,
})
}
/// Execute multiple queries in batch
pub fn execute_batch(
&self,
queries: &[FuzzyQuery],
) -> FuzzyQueryResult<Vec<FuzzyQueryResultData>> {
let mut results = Vec::with_capacity(queries.len());
for query in queries {
results.push(self.execute_query(query)?);
}
Ok(results)
}
/// Get performance metrics for the last query execution
pub fn get_last_metrics(&self) -> Option<PerformanceMetrics> {
// TODO: Implement performance tracking
None
}
/// Query the database for a list of concrete k-mers
fn query_variants(&self, variants: &[String]) -> FuzzyQueryResult<Vec<KmerMatch>> {
let mut matches = Vec::new();
for variant in variants {
// For canonical databases, we need to check both the variant and its reverse complement
let rc_variant = self.reverse_complement(variant);
if let Some(count) = self.database.query_kmer(variant) {
matches.push(KmerMatch {
sequence: variant.clone(),
count,
match_type: MatchType::Exact,
hamming_distance: None,
});
} else if let Some(count) = self.database.query_kmer(&rc_variant) {
matches.push(KmerMatch {
sequence: variant.clone(),
count,
match_type: MatchType::Exact,
hamming_distance: None,
});
}
}
Ok(matches)
}
/// Get reverse complement of a DNA sequence
fn reverse_complement(&self, seq: &str) -> String {
seq.chars()
.rev()
.map(|c| match c {
'A' => 'T',
'T' => 'A',
'C' => 'G',
'G' => 'C',
'N' => 'N',
_ => c,
})
.collect()
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_fuzzy_query_creation() {
let query = FuzzyQuery::new("ATGCGATGCTAGCN", 13, 0);
assert_eq!(query.query_string, "ATGCGATGCTAGCN");
assert_eq!(query.kmer_size, 13);
assert_eq!(query.mutation_tolerance, 0);
}
#[test]
fn test_fuzzy_query_validation() {
// Valid query
let query = FuzzyQuery::new("ATGCGATGCTAGCN", 13, 0);
assert!(query.validate().is_ok());
// Invalid characters
let query = FuzzyQuery::new("ATGCGXATGCTAGC", 13, 0);
assert!(query.validate().is_err());
// Empty query
let query = FuzzyQuery::new("", 13, 0);
assert!(query.validate().is_err());
// Too many mutations
let query = FuzzyQuery::new("ATGCGATGCTAGCN", 13, 10);
assert!(query.validate().is_err());
}
#[test]
fn test_kmer_match() {
let kmer_match = KmerMatch {
sequence: "ATGCGATGCTAGCA".to_string(),
count: 5,
match_type: MatchType::WildcardExpansion {
wildcard_positions: vec![12],
},
hamming_distance: Some(0),
};
assert_eq!(kmer_match.sequence, "ATGCGATGCTAGCA");
assert_eq!(kmer_match.count, 5);
}
}