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https://github.com/zed-industries/zed.git
synced 2024-09-20 02:47:34 +03:00
corrected batching order and managed for open ai embedding errors
This commit is contained in:
parent
afccf608f4
commit
a86b6c42c7
@ -32,6 +32,7 @@ async-trait.workspace = true
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bincode = "1.3.3"
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bincode = "1.3.3"
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matrixmultiply = "0.3.7"
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matrixmultiply = "0.3.7"
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tiktoken-rs = "0.5.0"
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tiktoken-rs = "0.5.0"
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rand.workspace = true
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[dev-dependencies]
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[dev-dependencies]
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gpui = { path = "../gpui", features = ["test-support"] }
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gpui = { path = "../gpui", features = ["test-support"] }
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@ -2,15 +2,20 @@ use anyhow::{anyhow, Result};
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use async_trait::async_trait;
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use async_trait::async_trait;
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use futures::AsyncReadExt;
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use futures::AsyncReadExt;
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use gpui::serde_json;
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use gpui::serde_json;
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use isahc::http::StatusCode;
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use isahc::prelude::Configurable;
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use isahc::prelude::Configurable;
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use isahc::{AsyncBody, Response};
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use lazy_static::lazy_static;
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use lazy_static::lazy_static;
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use serde::{Deserialize, Serialize};
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use serde::{Deserialize, Serialize};
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use std::env;
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use std::sync::Arc;
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use std::sync::Arc;
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use std::{env, time::Instant};
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use std::time::Duration;
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use tiktoken_rs::{cl100k_base, CoreBPE};
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use util::http::{HttpClient, Request};
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use util::http::{HttpClient, Request};
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lazy_static! {
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lazy_static! {
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static ref OPENAI_API_KEY: Option<String> = env::var("OPENAI_API_KEY").ok();
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static ref OPENAI_API_KEY: Option<String> = env::var("OPENAI_API_KEY").ok();
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static ref OPENAI_BPE_TOKENIZER: CoreBPE = cl100k_base().unwrap();
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}
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}
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#[derive(Clone)]
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#[derive(Clone)]
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@ -60,56 +65,80 @@ impl EmbeddingProvider for DummyEmbeddings {
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}
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}
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}
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}
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// impl OpenAIEmbeddings {
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impl OpenAIEmbeddings {
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// async fn truncate(span: &str) -> String {
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async fn truncate(span: String) -> String {
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// let bpe = cl100k_base().unwrap();
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let mut tokens = OPENAI_BPE_TOKENIZER.encode_with_special_tokens(span.as_ref());
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// let mut tokens = bpe.encode_with_special_tokens(span);
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if tokens.len() > 8190 {
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// if tokens.len() > 8192 {
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tokens.truncate(8190);
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// tokens.truncate(8192);
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let result = OPENAI_BPE_TOKENIZER.decode(tokens.clone());
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// let result = bpe.decode(tokens);
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if result.is_ok() {
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// if result.is_ok() {
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let transformed = result.unwrap();
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// return result.unwrap();
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// assert_ne!(transformed, span);
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// }
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return transformed;
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// }
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}
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}
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// return span.to_string();
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return span.to_string();
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// }
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}
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// }
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#[async_trait]
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impl EmbeddingProvider for OpenAIEmbeddings {
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async fn embed_batch(&self, spans: Vec<&str>) -> Result<Vec<Vec<f32>>> {
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// Truncate spans to 8192 if needed
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// let t0 = Instant::now();
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// let mut truncated_spans = vec![];
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// for span in spans {
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// truncated_spans.push(Self::truncate(span));
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// }
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// let spans = futures::future::join_all(truncated_spans).await;
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// log::info!("Truncated Spans in {:?}", t0.elapsed().as_secs());
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let api_key = OPENAI_API_KEY
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.as_ref()
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.ok_or_else(|| anyhow!("no api key"))?;
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async fn send_request(&self, api_key: &str, spans: Vec<&str>) -> Result<Response<AsyncBody>> {
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let request = Request::post("https://api.openai.com/v1/embeddings")
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let request = Request::post("https://api.openai.com/v1/embeddings")
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.redirect_policy(isahc::config::RedirectPolicy::Follow)
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.redirect_policy(isahc::config::RedirectPolicy::Follow)
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.header("Content-Type", "application/json")
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.header("Content-Type", "application/json")
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.header("Authorization", format!("Bearer {}", api_key))
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.header("Authorization", format!("Bearer {}", api_key))
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.body(
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.body(
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serde_json::to_string(&OpenAIEmbeddingRequest {
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serde_json::to_string(&OpenAIEmbeddingRequest {
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input: spans,
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input: spans.clone(),
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model: "text-embedding-ada-002",
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model: "text-embedding-ada-002",
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})
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})
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.unwrap()
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.unwrap()
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.into(),
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.into(),
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)?;
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)?;
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let mut response = self.client.send(request).await?;
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Ok(self.client.send(request).await?)
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if !response.status().is_success() {
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}
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return Err(anyhow!("openai embedding failed {}", response.status()));
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}
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}
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#[async_trait]
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impl EmbeddingProvider for OpenAIEmbeddings {
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async fn embed_batch(&self, spans: Vec<&str>) -> Result<Vec<Vec<f32>>> {
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const BACKOFF_SECONDS: [usize; 3] = [65, 180, 360];
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const MAX_RETRIES: usize = 3;
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let api_key = OPENAI_API_KEY
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.as_ref()
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.ok_or_else(|| anyhow!("no api key"))?;
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let mut request_number = 0;
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let mut response: Response<AsyncBody>;
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let mut spans: Vec<String> = spans.iter().map(|x| x.to_string()).collect();
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while request_number < MAX_RETRIES {
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response = self
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.send_request(api_key, spans.iter().map(|x| &**x).collect())
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.await?;
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request_number += 1;
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if request_number + 1 == MAX_RETRIES && response.status() != StatusCode::OK {
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return Err(anyhow!(
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"openai max retries, error: {:?}",
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&response.status()
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));
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}
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match response.status() {
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StatusCode::TOO_MANY_REQUESTS => {
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let delay = Duration::from_secs(BACKOFF_SECONDS[request_number - 1] as u64);
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std::thread::sleep(delay);
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}
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StatusCode::BAD_REQUEST => {
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log::info!("BAD REQUEST: {:?}", &response.status());
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// Don't worry about delaying bad request, as we can assume
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// we haven't been rate limited yet.
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for span in spans.iter_mut() {
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*span = Self::truncate(span.to_string()).await;
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}
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}
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StatusCode::OK => {
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let mut body = String::new();
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let mut body = String::new();
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response.body_mut().read_to_string(&mut body).await?;
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response.body_mut().read_to_string(&mut body).await?;
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let response: OpenAIEmbeddingResponse = serde_json::from_str(&body)?;
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let response: OpenAIEmbeddingResponse = serde_json::from_str(&body)?;
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@ -118,11 +147,18 @@ impl EmbeddingProvider for OpenAIEmbeddings {
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"openai embedding completed. tokens: {:?}",
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"openai embedding completed. tokens: {:?}",
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response.usage.total_tokens
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response.usage.total_tokens
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);
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);
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return Ok(response
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Ok(response
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.data
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.data
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.into_iter()
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.into_iter()
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.map(|embedding| embedding.embedding)
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.map(|embedding| embedding.embedding)
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.collect())
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.collect());
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}
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_ => {
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return Err(anyhow!("openai embedding failed {}", response.status()));
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}
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}
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}
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Err(anyhow!("openai embedding failed"))
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}
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}
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}
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}
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@ -74,7 +74,6 @@ pub fn init(
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cx.subscribe_global::<WorkspaceCreated, _>({
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cx.subscribe_global::<WorkspaceCreated, _>({
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let vector_store = vector_store.clone();
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let vector_store = vector_store.clone();
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move |event, cx| {
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move |event, cx| {
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let t0 = Instant::now();
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let workspace = &event.0;
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let workspace = &event.0;
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if let Some(workspace) = workspace.upgrade(cx) {
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if let Some(workspace) = workspace.upgrade(cx) {
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let project = workspace.read(cx).project().clone();
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let project = workspace.read(cx).project().clone();
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@ -126,9 +125,7 @@ pub struct VectorStore {
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language_registry: Arc<LanguageRegistry>,
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language_registry: Arc<LanguageRegistry>,
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db_update_tx: channel::Sender<DbWrite>,
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db_update_tx: channel::Sender<DbWrite>,
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// embed_batch_tx: channel::Sender<Vec<(i64, IndexedFile, Vec<String>)>>,
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// embed_batch_tx: channel::Sender<Vec<(i64, IndexedFile, Vec<String>)>>,
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batch_files_tx: channel::Sender<(i64, IndexedFile, Vec<String>)>,
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parsing_files_tx: channel::Sender<(i64, PathBuf, Arc<Language>, SystemTime)>,
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parsing_files_tx: channel::Sender<(i64, PathBuf, Arc<Language>, SystemTime)>,
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parsing_files_rx: channel::Receiver<(i64, PathBuf, Arc<Language>, SystemTime)>,
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_db_update_task: Task<()>,
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_db_update_task: Task<()>,
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_embed_batch_task: Vec<Task<()>>,
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_embed_batch_task: Vec<Task<()>>,
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_batch_files_task: Task<()>,
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_batch_files_task: Task<()>,
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@ -220,14 +217,13 @@ impl VectorStore {
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let (embed_batch_tx, embed_batch_rx) =
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let (embed_batch_tx, embed_batch_rx) =
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channel::unbounded::<Vec<(i64, IndexedFile, Vec<String>)>>();
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channel::unbounded::<Vec<(i64, IndexedFile, Vec<String>)>>();
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let mut _embed_batch_task = Vec::new();
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let mut _embed_batch_task = Vec::new();
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for _ in 0..cx.background().num_cpus() {
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for _ in 0..1 {
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//cx.background().num_cpus() {
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let db_update_tx = db_update_tx.clone();
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let db_update_tx = db_update_tx.clone();
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let embed_batch_rx = embed_batch_rx.clone();
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let embed_batch_rx = embed_batch_rx.clone();
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let embedding_provider = embedding_provider.clone();
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let embedding_provider = embedding_provider.clone();
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_embed_batch_task.push(cx.background().spawn(async move {
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_embed_batch_task.push(cx.background().spawn(async move {
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while let Ok(embeddings_queue) = embed_batch_rx.recv().await {
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while let Ok(embeddings_queue) = embed_batch_rx.recv().await {
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log::info!("Embedding Batch! ");
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// Construct Batch
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// Construct Batch
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let mut embeddings_queue = embeddings_queue.clone();
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let mut embeddings_queue = embeddings_queue.clone();
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let mut document_spans = vec![];
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let mut document_spans = vec![];
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@ -235,20 +231,20 @@ impl VectorStore {
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document_spans.extend(document_span);
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document_spans.extend(document_span);
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}
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}
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if let Some(mut embeddings) = embedding_provider
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if let Ok(embeddings) = embedding_provider
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.embed_batch(document_spans.iter().map(|x| &**x).collect())
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.embed_batch(document_spans.iter().map(|x| &**x).collect())
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.await
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.await
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.log_err()
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{
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{
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let mut i = 0;
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let mut i = 0;
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let mut j = 0;
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let mut j = 0;
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while let Some(embedding) = embeddings.pop() {
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for embedding in embeddings.iter() {
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while embeddings_queue[i].1.documents.len() == j {
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while embeddings_queue[i].1.documents.len() == j {
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i += 1;
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i += 1;
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j = 0;
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j = 0;
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}
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}
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embeddings_queue[i].1.documents[j].embedding = embedding;
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embeddings_queue[i].1.documents[j].embedding = embedding.to_owned();
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j += 1;
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j += 1;
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}
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}
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@ -283,7 +279,6 @@ impl VectorStore {
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while let Ok((worktree_id, indexed_file, document_spans)) =
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while let Ok((worktree_id, indexed_file, document_spans)) =
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batch_files_rx.recv().await
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batch_files_rx.recv().await
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{
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{
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log::info!("Batching File: {:?}", &indexed_file.path);
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queue_len += &document_spans.len();
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queue_len += &document_spans.len();
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embeddings_queue.push((worktree_id, indexed_file, document_spans));
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embeddings_queue.push((worktree_id, indexed_file, document_spans));
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if queue_len >= EMBEDDINGS_BATCH_SIZE {
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if queue_len >= EMBEDDINGS_BATCH_SIZE {
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@ -338,10 +333,7 @@ impl VectorStore {
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embedding_provider,
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embedding_provider,
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language_registry,
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language_registry,
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db_update_tx,
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db_update_tx,
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// embed_batch_tx,
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batch_files_tx,
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parsing_files_tx,
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parsing_files_tx,
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parsing_files_rx,
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_db_update_task,
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_db_update_task,
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_embed_batch_task,
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_embed_batch_task,
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_batch_files_task,
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_batch_files_task,
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@ -449,8 +441,6 @@ impl VectorStore {
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let database_url = self.database_url.clone();
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let database_url = self.database_url.clone();
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let db_update_tx = self.db_update_tx.clone();
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let db_update_tx = self.db_update_tx.clone();
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let parsing_files_tx = self.parsing_files_tx.clone();
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let parsing_files_tx = self.parsing_files_tx.clone();
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let parsing_files_rx = self.parsing_files_rx.clone();
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let batch_files_tx = self.batch_files_tx.clone();
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cx.spawn(|this, mut cx| async move {
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cx.spawn(|this, mut cx| async move {
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let t0 = Instant::now();
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let t0 = Instant::now();
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@ -553,37 +543,6 @@ impl VectorStore {
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})
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})
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.detach();
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.detach();
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// cx.background()
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// .scoped(|scope| {
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// for _ in 0..cx.background().num_cpus() {
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// scope.spawn(async {
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// let mut parser = Parser::new();
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// let mut cursor = QueryCursor::new();
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// while let Ok((worktree_id, file_path, language, mtime)) =
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// parsing_files_rx.recv().await
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// {
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// log::info!("Parsing File: {:?}", &file_path);
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// if let Some((indexed_file, document_spans)) = Self::index_file(
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// &mut cursor,
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// &mut parser,
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// &fs,
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// language,
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// file_path.clone(),
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// mtime,
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// )
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// .await
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// .log_err()
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// {
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// batch_files_tx
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// .try_send((worktree_id, indexed_file, document_spans))
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// .unwrap();
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// }
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// }
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// });
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// }
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// })
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// .await;
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this.update(&mut cx, |this, cx| {
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this.update(&mut cx, |this, cx| {
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// The below is managing for updated on save
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// The below is managing for updated on save
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// Currently each time a file is saved, this code is run, and for all the files that were changed, if the current time is
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// Currently each time a file is saved, this code is run, and for all the files that were changed, if the current time is
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@ -592,90 +551,90 @@ impl VectorStore {
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if let Some(project_state) = this.projects.get(&project.downgrade()) {
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if let Some(project_state) = this.projects.get(&project.downgrade()) {
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let worktree_db_ids = project_state.worktree_db_ids.clone();
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let worktree_db_ids = project_state.worktree_db_ids.clone();
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// if let project::Event::WorktreeUpdatedEntries(worktree_id, changes) = event
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if let project::Event::WorktreeUpdatedEntries(worktree_id, changes) = event
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// {
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{
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// // Iterate through changes
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// Iterate through changes
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// let language_registry = this.language_registry.clone();
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let language_registry = this.language_registry.clone();
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// let db =
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let db =
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// VectorDatabase::new(this.database_url.to_string_lossy().into());
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VectorDatabase::new(this.database_url.to_string_lossy().into());
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// if db.is_err() {
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if db.is_err() {
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// return;
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return;
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// }
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}
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// let db = db.unwrap();
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let db = db.unwrap();
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// let worktree_db_id: Option<i64> = {
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let worktree_db_id: Option<i64> = {
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// let mut found_db_id = None;
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let mut found_db_id = None;
|
||||||
// for (w_id, db_id) in worktree_db_ids.into_iter() {
|
for (w_id, db_id) in worktree_db_ids.into_iter() {
|
||||||
// if &w_id == worktree_id {
|
if &w_id == worktree_id {
|
||||||
// found_db_id = Some(db_id);
|
found_db_id = Some(db_id);
|
||||||
// }
|
}
|
||||||
// }
|
}
|
||||||
|
|
||||||
// found_db_id
|
found_db_id
|
||||||
// };
|
};
|
||||||
|
|
||||||
// if worktree_db_id.is_none() {
|
if worktree_db_id.is_none() {
|
||||||
// return;
|
return;
|
||||||
// }
|
}
|
||||||
// let worktree_db_id = worktree_db_id.unwrap();
|
let worktree_db_id = worktree_db_id.unwrap();
|
||||||
|
|
||||||
// let file_mtimes = db.get_file_mtimes(worktree_db_id);
|
let file_mtimes = db.get_file_mtimes(worktree_db_id);
|
||||||
// if file_mtimes.is_err() {
|
if file_mtimes.is_err() {
|
||||||
// return;
|
return;
|
||||||
// }
|
}
|
||||||
|
|
||||||
// let file_mtimes = file_mtimes.unwrap();
|
let file_mtimes = file_mtimes.unwrap();
|
||||||
// let paths_tx = this.paths_tx.clone();
|
let parsing_files_tx = this.parsing_files_tx.clone();
|
||||||
|
|
||||||
// smol::block_on(async move {
|
smol::block_on(async move {
|
||||||
// for change in changes.into_iter() {
|
for change in changes.into_iter() {
|
||||||
// let change_path = change.0.clone();
|
let change_path = change.0.clone();
|
||||||
// log::info!("Change: {:?}", &change_path);
|
log::info!("Change: {:?}", &change_path);
|
||||||
// if let Ok(language) = language_registry
|
if let Ok(language) = language_registry
|
||||||
// .language_for_file(&change_path.to_path_buf(), None)
|
.language_for_file(&change_path.to_path_buf(), None)
|
||||||
// .await
|
.await
|
||||||
// {
|
{
|
||||||
// if language
|
if language
|
||||||
// .grammar()
|
.grammar()
|
||||||
// .and_then(|grammar| grammar.embedding_config.as_ref())
|
.and_then(|grammar| grammar.embedding_config.as_ref())
|
||||||
// .is_none()
|
.is_none()
|
||||||
// {
|
{
|
||||||
// continue;
|
continue;
|
||||||
// }
|
}
|
||||||
|
|
||||||
// // TODO: Make this a bit more defensive
|
// TODO: Make this a bit more defensive
|
||||||
// let modified_time =
|
let modified_time =
|
||||||
// change_path.metadata().unwrap().modified().unwrap();
|
change_path.metadata().unwrap().modified().unwrap();
|
||||||
// let existing_time =
|
let existing_time =
|
||||||
// file_mtimes.get(&change_path.to_path_buf());
|
file_mtimes.get(&change_path.to_path_buf());
|
||||||
// let already_stored =
|
let already_stored =
|
||||||
// existing_time.map_or(false, |existing_time| {
|
existing_time.map_or(false, |existing_time| {
|
||||||
// if &modified_time != existing_time
|
if &modified_time != existing_time
|
||||||
// && existing_time.elapsed().unwrap().as_secs()
|
&& existing_time.elapsed().unwrap().as_secs()
|
||||||
// > REINDEXING_DELAY
|
> REINDEXING_DELAY
|
||||||
// {
|
{
|
||||||
// false
|
false
|
||||||
// } else {
|
} else {
|
||||||
// true
|
true
|
||||||
// }
|
}
|
||||||
// });
|
});
|
||||||
|
|
||||||
// if !already_stored {
|
if !already_stored {
|
||||||
// log::info!("Need to reindex: {:?}", &change_path);
|
log::info!("Need to reindex: {:?}", &change_path);
|
||||||
// paths_tx
|
parsing_files_tx
|
||||||
// .try_send((
|
.try_send((
|
||||||
// worktree_db_id,
|
worktree_db_id,
|
||||||
// change_path.to_path_buf(),
|
change_path.to_path_buf(),
|
||||||
// language,
|
language,
|
||||||
// modified_time,
|
modified_time,
|
||||||
// ))
|
))
|
||||||
// .unwrap();
|
.unwrap();
|
||||||
// }
|
}
|
||||||
// }
|
}
|
||||||
// }
|
}
|
||||||
// })
|
})
|
||||||
// }
|
}
|
||||||
}
|
}
|
||||||
});
|
});
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user