progress on eval

This commit is contained in:
KCaverly 2023-09-13 10:32:36 -04:00
parent d4fbe99052
commit 6f29582fb0
3 changed files with 79 additions and 5 deletions

View File

@ -12,7 +12,7 @@
{
"query": "What version of the openai package is active?",
"matches": [
"pyproject.toml:14"
"pyprojet.toml:14"
]
},
{

View File

@ -48,7 +48,7 @@
"query": "Handle conflict when numerous actions occur on the same symbol",
"matches": [
"cli/src/generate/build_tables/build_parse_table.rs:363",
"cli/src/generate/build_tables/build_parse_table.rs:442",
"cli/src/generate/build_tables/build_parse_table.rs:442"
]
},
{

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@ -1,19 +1,36 @@
use git2::{Object, Oid, Repository};
use semantic_index::SearchResult;
use serde::Deserialize;
use std::path::{Path, PathBuf};
use std::{env, fs};
#[derive(Deserialize, Clone)]
struct QueryMatches {
struct EvaluationQuery {
query: String,
matches: Vec<String>,
}
impl EvaluationQuery {
fn match_pairs(&self) -> Vec<(PathBuf, usize)> {
let mut pairs = Vec::new();
for match_identifier in self.matches {
let match_parts = match_identifier.split(":");
if let Some(file_path) = match_parts.next() {
if let Some(row_number) = match_parts.next() {
pairs.push((PathBuf::from(file_path), from_str::<usize>(row_number)));
}
}
pairs
}
}
#[derive(Deserialize, Clone)]
struct RepoEval {
repo: String,
commit: String,
assertions: Vec<QueryMatches>,
assertions: Vec<EvaluationQuery>,
}
const TMP_REPO_PATH: &str = "./target/eval_repos";
@ -77,7 +94,60 @@ fn clone_repo(repo_eval: RepoEval) -> anyhow::Result<PathBuf> {
Ok(clone_path)
}
fn dcg(hits: Vec<usize>) -> f32 {
let mut result = 0.0;
for (idx, hit) in hits.iter().enumerate() {
result += *hit as f32 / (2.0 + idx as f32).log2();
}
println!("DCG: {:?}", result);
result
}
fn evaluate_ndcg(eval_query: EvaluationQuery, search_results: Vec<SearchResult>, k: usize) -> f32 {
// NDCG or Normalized Discounted Cumulative Gain, is determined by comparing the relevance of
// items returned by the search engine relative to the hypothetical ideal.
// Relevance is represented as a series of booleans, in which each search result returned
// is identified as being inside the test set of matches (1) or not (0).
// For example, if result 1, 3 and 5 match the 3 relevant results provided
// actual dcg is calculated against a vector of [1, 0, 1, 0, 1]
// whereas ideal dcg is calculated against a vector of [1, 1, 1, 0, 0]
// as this ideal vector assumes the 3 relevant results provided were returned first
// normalized dcg is then calculated as actual dcg / ideal dcg.
// NDCG ranges from 0 to 1, which higher values indicating better performance
// Commonly NDCG is expressed as NDCG@k, in which k represents the metric calculated
// including only the top k values returned.
// The @k metrics can help you identify, at what point does the relevant results start to fall off.
// Ie. a NDCG@1 of 0.9 and a NDCG@3 of 0.5 may indicate that the first result returned in usually
// very high quality, whereas rank results quickly drop off after the first result.
let ideal = vec![1; cmp::min(eval_query.matches.len(), k)];
return dcg(hits) / dcg(ideal);
}
fn evaluate_map(eval_query: EvaluationQuery, search_results: Vec<SearchResult>, k: usize) -> f32 {
}
fn evaluate_repo(repo_eval: RepoEval, clone_path: PathBuf) {
// Launch new repo as a new Zed workspace/project
// Index the project
// Search each eval_query
// Calculate Statistics
}
fn main() {
// zed/main.rs
// creating an app and running it, gives you the context.
// create a project, find_or_create_local_worktree.
if let Ok(repo_evals) = parse_eval() {
for repo in repo_evals {
let cloned = clone_repo(repo.clone());
@ -85,8 +155,12 @@ fn main() {
Ok(clone_path) => {
println!(
"Cloned {:?} @ {:?} into {:?}",
repo.repo, repo.commit, clone_path
repo.repo, repo.commit, &clone_path
);
// Evaluate Repo
evaluate_repo(repo, clone_path);
}
Err(err) => {
println!("Error Cloning: {:?}", err);