1use crate::templates::base::{PromptArguments, PromptTemplate};
2use std::fmt::Write;
3use std::{ops::Range, path::PathBuf};
4
5use gpui::{AsyncAppContext, ModelHandle};
6use language::{Anchor, Buffer};
7
8#[derive(Clone)]
9pub struct PromptCodeSnippet {
10 path: Option<PathBuf>,
11 language_name: Option<String>,
12 content: String,
13}
14
15impl PromptCodeSnippet {
16 pub fn new(buffer: ModelHandle<Buffer>, range: Range<Anchor>, cx: &AsyncAppContext) -> Self {
17 let (content, language_name, file_path) = buffer.read_with(cx, |buffer, _| {
18 let snapshot = buffer.snapshot();
19 let content = snapshot.text_for_range(range.clone()).collect::<String>();
20
21 let language_name = buffer
22 .language()
23 .and_then(|language| Some(language.name().to_string().to_lowercase()));
24
25 let file_path = buffer
26 .file()
27 .and_then(|file| Some(file.path().to_path_buf()));
28
29 (content, language_name, file_path)
30 });
31
32 PromptCodeSnippet {
33 path: file_path,
34 language_name,
35 content,
36 }
37 }
38}
39
40impl ToString for PromptCodeSnippet {
41 fn to_string(&self) -> String {
42 let path = self
43 .path
44 .as_ref()
45 .and_then(|path| Some(path.to_string_lossy().to_string()))
46 .unwrap_or("".to_string());
47 let language_name = self.language_name.clone().unwrap_or("".to_string());
48 let content = self.content.clone();
49
50 format!("The below code snippet may be relevant from file: {path}\n```{language_name}\n{content}\n```")
51 }
52}
53
54pub struct RepositoryContext {}
55
56impl PromptTemplate for RepositoryContext {
57 fn generate(
58 &self,
59 args: &PromptArguments,
60 max_token_length: Option<usize>,
61 ) -> anyhow::Result<(String, usize)> {
62 const MAXIMUM_SNIPPET_TOKEN_COUNT: usize = 500;
63 let template = "You are working inside a large repository, here are a few code snippets that may be useful.";
64 let mut prompt = String::new();
65
66 let mut remaining_tokens = max_token_length.clone();
67 let seperator_token_length = args.model.count_tokens("\n")?;
68 for snippet in &args.snippets {
69 let mut snippet_prompt = template.to_string();
70 let content = snippet.to_string();
71 writeln!(snippet_prompt, "{content}").unwrap();
72
73 let token_count = args.model.count_tokens(&snippet_prompt)?;
74 if token_count <= MAXIMUM_SNIPPET_TOKEN_COUNT {
75 if let Some(tokens_left) = remaining_tokens {
76 if tokens_left >= token_count {
77 writeln!(prompt, "{snippet_prompt}").unwrap();
78 remaining_tokens = if tokens_left >= (token_count + seperator_token_length)
79 {
80 Some(tokens_left - token_count - seperator_token_length)
81 } else {
82 Some(0)
83 };
84 }
85 } else {
86 writeln!(prompt, "{snippet_prompt}").unwrap();
87 }
88 }
89 }
90
91 let total_token_count = args.model.count_tokens(&prompt)?;
92 anyhow::Ok((prompt, total_token_count))
93 }
94}