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ripvec_core/
embed.rs

1//! Search configuration, results, and file I/O helpers.
2//!
3//! The transformer streaming pipeline (`embed_all`, `embed_all_batch`,
4//! `embed_all_streaming`, `embed_distributed`) was removed when the transformer engines came out.
5//! Embedding is now dispatched exclusively through
6//! [`VectorEncoder::embed_root`](crate::encoder::VectorEncoder::embed_root).
7//!
8//! Surviving items:
9//! - [`SearchConfig`] — pipeline tuning parameters (walk filters, batch size, scope).
10//! - [`Scope`] — intent-shaped corpus axis (code / docs / all).
11//! - [`PROSE_EXTENSIONS`] — canonical prose file extensions.
12//! - [`SearchResult`] — chunk + similarity score pair.
13//! - [`apply_structural_boost`] — PageRank boost post-processing for MCP.
14
15use std::path::Path;
16
17use crate::chunk::{ChunkConfig, CodeChunk};
18
19/// Default batch size for embedding inference.
20pub const DEFAULT_BATCH_SIZE: usize = 32;
21
22/// Runtime configuration for the search pipeline.
23///
24/// All tuning parameters that were previously compile-time constants are
25/// gathered here so they can be set from CLI arguments without recompiling.
26#[derive(Debug, Clone)]
27pub struct SearchConfig {
28    /// Chunks per inference call. Larger values amortize call overhead
29    /// but consume more memory. Default: 32.
30    pub batch_size: usize,
31    /// Maximum tokens fed to the model per chunk. `0` means no limit.
32    /// Capping tokens controls inference cost for minified or dense source.
33    /// BERT attention cost scales linearly with token count, and CLS pooling
34    /// means the first token's representation carries most semantic weight.
35    /// Default: 128 (7.7× faster than 512, with minimal quality loss).
36    pub max_tokens: usize,
37    /// Chunking parameters forwarded to the chunking phase.
38    pub chunk: ChunkConfig,
39    /// Force all files to be chunked as plain text (sliding windows only).
40    /// When `false` (default), files with recognized extensions use tree-sitter
41    /// semantic chunking, and unrecognized extensions fall back to sliding windows.
42    pub text_mode: bool,
43    /// MRL cascade pre-filter dimension.
44    ///
45    /// When set, [`SearchIndex`](crate::index::SearchIndex) stores a truncated
46    /// and L2-re-normalized copy of the embedding matrix at this dimension for
47    /// fast two-phase cascade search. `None` (default) disables cascade search.
48    pub cascade_dim: Option<usize>,
49    /// Optional file type filter (e.g. "rust", "python", "js").
50    ///
51    /// When set, only files matching this type (using ripgrep's built-in type
52    /// database) are collected during the walk phase.
53    pub file_type: Option<String>,
54    /// File extensions to exclude during the walk phase.
55    pub exclude_extensions: Vec<String>,
56    /// File extensions to include during the walk phase. Empty means
57    /// "no extension whitelist" (other filters still apply). Non-empty
58    /// restricts walking to files whose extension matches one of these
59    /// (normalized lowercase, with or without leading dot).
60    pub include_extensions: Vec<String>,
61    /// Additional `.gitignore`-style patterns to exclude during the walk phase.
62    pub ignore_patterns: Vec<String>,
63    /// Intent-shaped scope: code, docs, or all. Drives the default
64    /// extension whitelist when `include_extensions` is empty and the
65    /// rerank gate in the MCP layer (`docs` and `all`-on-mixed-corpus
66    /// fire rerank; `code` skips). See [`Scope`].
67    pub scope: Scope,
68    /// Search mode: hybrid (default), semantic, or keyword.
69    pub mode: crate::hybrid::SearchMode,
70}
71
72/// Intent-shaped scope for a search invocation.
73///
74/// Used as the user-facing axis for picking what kind of files
75/// participate in a search and whether the prose-tuned cross-encoder
76/// reranker fires. Maps internally to extension allow-lists and to
77/// the rerank gate's policy table.
78#[derive(Debug, Clone, Copy, PartialEq, Eq, Default, serde::Serialize, serde::Deserialize)]
79#[serde(rename_all = "lowercase")]
80pub enum Scope {
81    /// Only code-language files. Cross-encoder rerank is skipped — the
82    /// ms-marco model is out-of-domain for code chunks.
83    Code,
84    /// Only prose / documentation files (`md`, `rst`, `txt`, `adoc`,
85    /// `mdx`, `org`). Cross-encoder rerank fires by default on NL
86    /// queries.
87    Docs,
88    /// No extension whitelist; the rerank gate decides based on the
89    /// indexed corpus's prose fraction (see
90    /// `RipvecIndex::corpus_class`). Default.
91    #[default]
92    All,
93}
94
95/// Canonical prose file extensions for `Scope::Docs`. Kept in sync with
96/// [`crate::encoder::ripvec::ranking::is_prose_path`].
97pub const PROSE_EXTENSIONS: &[&str] = &[
98    "md", "markdown", "mdx", "rst", "txt", "text", "adoc", "asciidoc", "org",
99];
100
101impl SearchConfig {
102    /// Convert search configuration into shared walk filters.
103    ///
104    /// Resolves the scope-implied extension whitelist:
105    ///
106    /// - Explicit `include_extensions` always wins.
107    /// - Otherwise `Scope::Docs` injects the canonical prose set
108    ///   ([`PROSE_EXTENSIONS`]).
109    /// - `Scope::Code` injects the canonical prose set as
110    ///   *exclusions* (so prose files are skipped during walk).
111    /// - `Scope::All` leaves the include set empty (no whitelist).
112    #[must_use]
113    pub fn walk_options(&self) -> crate::walk::WalkOptions {
114        let mut include = self.include_extensions.clone();
115        let mut exclude = self.exclude_extensions.clone();
116        if include.is_empty() {
117            match self.scope {
118                Scope::Docs => {
119                    include.extend(PROSE_EXTENSIONS.iter().map(|s| (*s).to_string()));
120                }
121                Scope::Code => {
122                    for ext in PROSE_EXTENSIONS {
123                        if !exclude.iter().any(|e| e.eq_ignore_ascii_case(ext)) {
124                            exclude.push((*ext).to_string());
125                        }
126                    }
127                }
128                Scope::All => {}
129            }
130        }
131        crate::walk::WalkOptions {
132            file_type: self.file_type.clone(),
133            include_extensions: include,
134            exclude_extensions: exclude,
135            ignore_patterns: self.ignore_patterns.clone(),
136        }
137    }
138
139    /// Merge ignore patterns from `.ripvec/config.toml`, if present.
140    pub fn apply_repo_config(&mut self, root: &Path) {
141        let Some((_, config)) = crate::cache::config::find_config(root) else {
142            return;
143        };
144        for pattern in config.ignore.patterns {
145            if !pattern.trim().is_empty() && !self.ignore_patterns.contains(&pattern) {
146                self.ignore_patterns.push(pattern);
147            }
148        }
149    }
150}
151
152impl Default for SearchConfig {
153    fn default() -> Self {
154        Self {
155            batch_size: DEFAULT_BATCH_SIZE,
156            max_tokens: 0,
157            chunk: ChunkConfig::default(),
158            text_mode: false,
159            cascade_dim: None,
160            file_type: None,
161            exclude_extensions: Vec::new(),
162            include_extensions: Vec::new(),
163            ignore_patterns: Vec::new(),
164            scope: Scope::All,
165            mode: crate::hybrid::SearchMode::Hybrid,
166        }
167    }
168}
169
170/// A search result pairing a code chunk with its similarity score.
171#[derive(Debug, Clone)]
172pub struct SearchResult {
173    /// The matched code chunk.
174    pub chunk: CodeChunk,
175    /// Cosine similarity to the query (0.0 to 1.0).
176    pub similarity: f32,
177}
178
179/// Normalize similarity scores to `[0,1]` and apply a `PageRank` structural boost.
180///
181/// Each result's similarity is min-max normalized, then a weighted `PageRank`
182/// score is added: `final = normalized + alpha * pagerank`. This promotes
183/// architecturally important files (many dependents) in search results.
184///
185/// Called from the MCP search handler which has access to the `RepoGraph`,
186/// rather than from [`search`](crate::encoder::ripvec::index) directly.
187pub fn apply_structural_boost<S: ::std::hash::BuildHasher>(
188    results: &mut [SearchResult],
189    file_ranks: &std::collections::HashMap<String, f32, S>,
190    alpha: f32,
191) {
192    if results.is_empty() || alpha == 0.0 {
193        return;
194    }
195
196    let min = results
197        .iter()
198        .map(|r| r.similarity)
199        .fold(f32::INFINITY, f32::min);
200    let max = results
201        .iter()
202        .map(|r| r.similarity)
203        .fold(f32::NEG_INFINITY, f32::max);
204    let range = (max - min).max(1e-12);
205
206    for r in results.iter_mut() {
207        let normalized = (r.similarity - min) / range;
208        let pr = file_ranks.get(&r.chunk.file_path).copied().unwrap_or(0.0);
209        r.similarity = normalized + alpha * pr;
210    }
211}
212
213#[cfg(test)]
214mod tests {
215    use super::*;
216
217    fn make_result(file_path: &str, similarity: f32) -> SearchResult {
218        SearchResult {
219            chunk: CodeChunk {
220                file_path: file_path.to_string(),
221                name: "test".to_string(),
222                kind: "function".to_string(),
223                start_line: 1,
224                end_line: 10,
225                enriched_content: String::new(),
226                content: String::new(),
227            },
228            similarity,
229        }
230    }
231
232    #[test]
233    fn structural_boost_normalizes_and_applies() {
234        let mut results = vec![
235            make_result("src/a.rs", 0.8),
236            make_result("src/b.rs", 0.4),
237            make_result("src/c.rs", 0.6),
238        ];
239        let mut ranks = std::collections::HashMap::new();
240        ranks.insert("src/a.rs".to_string(), 0.5);
241        ranks.insert("src/b.rs".to_string(), 1.0);
242        ranks.insert("src/c.rs".to_string(), 0.0);
243
244        apply_structural_boost(&mut results, &ranks, 0.2);
245
246        // a: normalized=(0.8-0.4)/0.4=1.0, boost=0.2*0.5=0.1 => 1.1
247        assert!((results[0].similarity - 1.1).abs() < 1e-6);
248        // b: normalized=(0.4-0.4)/0.4=0.0, boost=0.2*1.0=0.2 => 0.2
249        assert!((results[1].similarity - 0.2).abs() < 1e-6);
250        // c: normalized=(0.6-0.4)/0.4=0.5, boost=0.2*0.0=0.0 => 0.5
251        assert!((results[2].similarity - 0.5).abs() < 1e-6);
252    }
253
254    #[test]
255    fn structural_boost_noop_on_empty() {
256        let mut results: Vec<SearchResult> = vec![];
257        let ranks = std::collections::HashMap::new();
258        apply_structural_boost(&mut results, &ranks, 0.2);
259        assert!(results.is_empty());
260    }
261
262    #[test]
263    fn structural_boost_noop_on_zero_alpha() {
264        let mut results = vec![make_result("src/a.rs", 0.8)];
265        let mut ranks = std::collections::HashMap::new();
266        ranks.insert("src/a.rs".to_string(), 1.0);
267        apply_structural_boost(&mut results, &ranks, 0.0);
268        // Should be unchanged
269        assert!((results[0].similarity - 0.8).abs() < 1e-6);
270    }
271}