ZIm/crates/vector_store/src/parsing.rs
Kirill Bulatov a884bd77e1 Slightly tidy up vector_db code
Avoid panicking when truncating code with special chars
2023-07-18 14:06:57 +03:00

115 lines
3.7 KiB
Rust

use std::{path::PathBuf, sync::Arc, time::SystemTime};
use anyhow::{anyhow, Ok, Result};
use project::Fs;
use tree_sitter::{Parser, QueryCursor};
use crate::PendingFile;
#[derive(Debug, PartialEq, Clone)]
pub struct Document {
pub offset: usize,
pub name: String,
pub embedding: Vec<f32>,
}
#[derive(Debug, PartialEq, Clone)]
pub struct ParsedFile {
pub path: PathBuf,
pub mtime: SystemTime,
pub documents: Vec<Document>,
}
const CODE_CONTEXT_TEMPLATE: &str =
"The below code snippet is from file '<path>'\n\n```<language>\n<item>\n```";
pub struct CodeContextRetriever {
pub parser: Parser,
pub cursor: QueryCursor,
pub fs: Arc<dyn Fs>,
}
impl CodeContextRetriever {
pub async fn parse_file(
&mut self,
pending_file: PendingFile,
) -> Result<(ParsedFile, Vec<String>)> {
let grammar = pending_file
.language
.grammar()
.ok_or_else(|| anyhow!("no grammar for language"))?;
let embedding_config = grammar
.embedding_config
.as_ref()
.ok_or_else(|| anyhow!("no embedding queries"))?;
let content = self.fs.load(&pending_file.absolute_path).await?;
self.parser.set_language(grammar.ts_language).unwrap();
let tree = self
.parser
.parse(&content, None)
.ok_or_else(|| anyhow!("parsing failed"))?;
let mut documents = Vec::new();
let mut context_spans = Vec::new();
// Iterate through query matches
for mat in self.cursor.matches(
&embedding_config.query,
tree.root_node(),
content.as_bytes(),
) {
// log::info!("-----MATCH-----");
let mut name = Vec::new();
let mut item: Option<&str> = None;
let mut offset: Option<usize> = None;
for capture in mat.captures {
if capture.index == embedding_config.item_capture_ix {
offset = Some(capture.node.byte_range().start);
item = content.get(capture.node.byte_range());
} else if capture.index == embedding_config.name_capture_ix {
if let Some(name_content) = content.get(capture.node.byte_range()) {
name.push(name_content);
}
}
if let Some(context_capture_ix) = embedding_config.context_capture_ix {
if capture.index == context_capture_ix {
if let Some(context) = content.get(capture.node.byte_range()) {
name.push(context);
}
}
}
}
if item.is_some() && offset.is_some() && name.len() > 0 {
let context_span = CODE_CONTEXT_TEMPLATE
.replace("<path>", pending_file.relative_path.to_str().unwrap())
.replace("<language>", &pending_file.language.name().to_lowercase())
.replace("<item>", item.unwrap());
// log::info!("Name: {:?}", name);
// log::info!("Span: {:?}", util::truncate(&context_span, 100));
context_spans.push(context_span);
documents.push(Document {
name: name.join(" "),
offset: offset.unwrap(),
embedding: Vec::new(),
})
}
}
return Ok((
ParsedFile {
path: pending_file.relative_path,
mtime: pending_file.modified_time,
documents,
},
context_spans,
));
}
}