ZIm/crates/assistant_eval/src/judge.rs
Mikayla Maki 1aefa5178b
Move "async move" a few characters to the left in cx.spawn() (#26758)
This is the core change:
https://github.com/zed-industries/zed/pull/26758/files#diff-044302c0d57147af17e68a0009fee3e8dcdfb4f32c27a915e70cfa80e987f765R1052

TODO:
- [x] Use AsyncFn instead of Fn() -> Future in GPUI spawn methods
- [x] Implement it in the whole app
- [x] Implement it in the debugger 
- [x] Glance at the RPC crate, and see if those box future methods can
be switched over. Answer: It can't directly, as you can't make an
AsyncFn* into a trait object. There's ways around that, but they're all
more complex than just keeping the code as is.
- [ ] Fix platform specific code

Release Notes:

- N/A
2025-03-19 02:09:02 +00:00

121 lines
3.6 KiB
Rust

use crate::eval::EvalOutput;
use crate::headless_assistant::send_language_model_request;
use anyhow::anyhow;
use gpui::{App, Task};
use language_model::{
LanguageModel, LanguageModelRequest, LanguageModelRequestMessage, MessageContent, Role,
};
use std::{path::Path, sync::Arc};
pub struct Judge {
pub original_diff: Option<String>,
#[allow(dead_code)]
pub original_message: Option<String>,
pub model: Arc<dyn LanguageModel>,
}
impl Judge {
pub async fn load(eval_path: &Path, model: Arc<dyn LanguageModel>) -> anyhow::Result<Judge> {
let original_diff_path = eval_path.join("original.diff");
let original_diff = smol::unblock(move || {
if std::fs::exists(&original_diff_path)? {
anyhow::Ok(Some(std::fs::read_to_string(&original_diff_path)?))
} else {
anyhow::Ok(None)
}
});
let original_message_path = eval_path.join("original_message.txt");
let original_message = smol::unblock(move || {
if std::fs::exists(&original_message_path)? {
anyhow::Ok(Some(std::fs::read_to_string(&original_message_path)?))
} else {
anyhow::Ok(None)
}
});
Ok(Self {
original_diff: original_diff.await?,
original_message: original_message.await?,
model,
})
}
pub fn run(&self, eval_output: &EvalOutput, cx: &mut App) -> Task<anyhow::Result<String>> {
let Some(original_diff) = self.original_diff.as_ref() else {
return Task::ready(Err(anyhow!("No original.diff found")));
};
// TODO: check for empty diff?
let prompt = diff_comparison_prompt(&original_diff, &eval_output.diff);
let request = LanguageModelRequest {
messages: vec![LanguageModelRequestMessage {
role: Role::User,
content: vec![MessageContent::Text(prompt)],
cache: false,
}],
temperature: Some(0.0),
tools: Vec::new(),
stop: Vec::new(),
};
let model = self.model.clone();
cx.spawn(async move |cx| send_language_model_request(model, request, cx).await)
}
}
pub fn diff_comparison_prompt(original_diff: &str, new_diff: &str) -> String {
format!(
r#"# Git Diff Similarity Evaluation Template
## Instructions
Compare the two diffs and score them between 0.0 and 1.0 based on their functional similarity.
- 1.0 = Perfect functional match (achieves identical results)
- 0.0 = No functional similarity whatsoever
## Evaluation Criteria
Please consider the following aspects in order of importance:
1. **Functional Equivalence (60%)**
- Do both diffs achieve the same end result?
- Are the changes functionally equivalent despite possibly using different approaches?
- Do the modifications address the same issues or implement the same features?
2. **Logical Structure (20%)**
- Are the logical flows similar?
- Do the modifications affect the same code paths?
- Are control structures (if/else, loops, etc.) modified in similar ways?
3. **Code Content (15%)**
- Are similar lines added/removed?
- Are the same variables, functions, or methods being modified?
- Are the same APIs or libraries being used?
4. **File Layout (5%)**
- Are the same files being modified?
- Are changes occurring in similar locations within files?
## Input
Original Diff:
```git
{}
```
New Diff:
```git
{}
```
## Output Format
THE ONLY OUTPUT SHOULD BE A SCORE BETWEEN 0.0 AND 1.0.
Example output:
0.85"#,
original_diff, new_diff
)
}