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update semantic search to use keychain as fallback

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This commit is contained in:
KCaverly 2023-10-21 10:19:50 -04:00
parent 9c49191031
commit 106115676d
4 changed files with 73 additions and 12 deletions
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45
crates/ai/src/embedding.rs
View File

@ -2,7 +2,7 @@ use anyhow::{anyhow, Result};
use async_trait::async_trait;
use futures::AsyncReadExt;
use gpui::executor::Background;
use gpui::serde_json;
use gpui::{serde_json, ViewContext};
use isahc::http::StatusCode;
use isahc::prelude::Configurable;
use isahc::{AsyncBody, Response};
@ -20,9 +20,11 @@ use std::sync::Arc;
use std::time::{Duration, Instant};
use tiktoken_rs::{cl100k_base, CoreBPE};
use util::http::{HttpClient, Request};
use util::ResultExt;
use crate::completion::OPENAI_API_URL;
lazy_static! {
static ref OPENAI_API_KEY: Option<String> = env::var("OPENAI_API_KEY").ok();
static ref OPENAI_BPE_TOKENIZER: CoreBPE = cl100k_base().unwrap();
}
@ -87,6 +89,7 @@ impl Embedding {
#[derive(Clone)]
pub struct OpenAIEmbeddings {
pub api_key: Option<String>,
pub client: Arc<dyn HttpClient>,
pub executor: Arc<Background>,
rate_limit_count_rx: watch::Receiver<Option<Instant>>,
@ -166,11 +169,36 @@ impl EmbeddingProvider for DummyEmbeddings {
const OPENAI_INPUT_LIMIT: usize = 8190;
impl OpenAIEmbeddings {
pub fn new(client: Arc<dyn HttpClient>, executor: Arc<Background>) -> Self {
pub fn authenticate(&mut self, cx: &mut ViewContext<Self>) {
if self.api_key.is_none() {
let api_key = if let Ok(api_key) = env::var("OPENAI_API_KEY") {
Some(api_key)
} else if let Some((_, api_key)) = cx
.platform()
.read_credentials(OPENAI_API_URL)
.log_err()
.flatten()
{
String::from_utf8(api_key).log_err()
} else {
None
};
if let Some(api_key) = api_key {
self.api_key = Some(api_key);
}
}
}
pub fn new(
api_key: Option<String>,
client: Arc<dyn HttpClient>,
executor: Arc<Background>,
) -> Self {
let (rate_limit_count_tx, rate_limit_count_rx) = watch::channel_with(None);
let rate_limit_count_tx = Arc::new(Mutex::new(rate_limit_count_tx));
OpenAIEmbeddings {
api_key,
client,
executor,
rate_limit_count_rx,
@ -237,8 +265,9 @@ impl OpenAIEmbeddings {
#[async_trait]
impl EmbeddingProvider for OpenAIEmbeddings {
fn is_authenticated(&self) -> bool {
OPENAI_API_KEY.as_ref().is_some()
self.api_key.is_some()
}
fn max_tokens_per_batch(&self) -> usize {
50000
}
@ -265,9 +294,9 @@ impl EmbeddingProvider for OpenAIEmbeddings {
const BACKOFF_SECONDS: [usize; 4] = [3, 5, 15, 45];
const MAX_RETRIES: usize = 4;
let api_key = OPENAI_API_KEY
.as_ref()
.ok_or_else(|| anyhow!("no api key"))?;
let Some(api_key) = self.api_key.clone() else {
return Err(anyhow!("no open ai key provided"));
};
let mut request_number = 0;
let mut rate_limiting = false;
@ -276,7 +305,7 @@ impl EmbeddingProvider for OpenAIEmbeddings {
while request_number < MAX_RETRIES {
response = self
.send_request(
api_key,
&api_key,
spans.iter().map(|x| &**x).collect(),
request_timeout,
)

2
crates/search/src/project_search.rs
View File

@ -352,7 +352,7 @@ impl View for ProjectSearchView {
major_text = Cow::Borrowed("Not Authenticated");
show_minor_text = false;
Some(
"API Key Missing: Please set 'OPENAI_API_KEY' in Environment Variables"
"API Key Missing: Please set 'OPENAI_API_KEY' in Environment Variables.\nIf this variable was set using the Assistant Panel, please restart Zed to Authenticate."
.to_string(),
)
}

20
crates/semantic_index/src/semantic_index.rs
View File

@ -7,7 +7,10 @@ pub mod semantic_index_settings;
mod semantic_index_tests;
use crate::semantic_index_settings::SemanticIndexSettings;
use ai::embedding::{Embedding, EmbeddingProvider, OpenAIEmbeddings};
use ai::{
completion::OPENAI_API_URL,
embedding::{Embedding, EmbeddingProvider, OpenAIEmbeddings},
};
use anyhow::{anyhow, Result};
use collections::{BTreeMap, HashMap, HashSet};
use db::VectorDatabase;
@ -55,6 +58,19 @@ pub fn init(
.join(Path::new(RELEASE_CHANNEL_NAME.as_str()))
.join("embeddings_db");
let api_key = if let Ok(api_key) = env::var("OPENAI_API_KEY") {
Some(api_key)
} else if let Some((_, api_key)) = cx
.platform()
.read_credentials(OPENAI_API_URL)
.log_err()
.flatten()
{
String::from_utf8(api_key).log_err()
} else {
None
};
cx.subscribe_global::<WorkspaceCreated, _>({
move |event, cx| {
let Some(semantic_index) = SemanticIndex::global(cx) else {
@ -88,7 +104,7 @@ pub fn init(
let semantic_index = SemanticIndex::new(
fs,
db_file_path,
Arc::new(OpenAIEmbeddings::new(http_client, cx.background())),
Arc::new(OpenAIEmbeddings::new(api_key, http_client, cx.background())),
language_registry,
cx.clone(),
)

18
crates/zed/examples/semantic_index_eval.rs
View File

@ -1,3 +1,4 @@
use ai::completion::OPENAI_API_URL;
use ai::embedding::OpenAIEmbeddings;
use anyhow::{anyhow, Result};
use client::{self, UserStore};
@ -17,6 +18,7 @@ use std::{cmp, env, fs};
use util::channel::{RELEASE_CHANNEL, RELEASE_CHANNEL_NAME};
use util::http::{self};
use util::paths::EMBEDDINGS_DIR;
use util::ResultExt;
use zed::languages;
#[derive(Deserialize, Clone, Serialize)]
@ -469,12 +471,26 @@ fn main() {
.join("embeddings_db");
let languages = languages.clone();
let api_key = if let Ok(api_key) = env::var("OPENAI_API_KEY") {
Some(api_key)
} else if let Some((_, api_key)) = cx
.platform()
.read_credentials(OPENAI_API_URL)
.log_err()
.flatten()
{
String::from_utf8(api_key).log_err()
} else {
None
};
let fs = fs.clone();
cx.spawn(|mut cx| async move {
let semantic_index = SemanticIndex::new(
fs.clone(),
db_file_path,
Arc::new(OpenAIEmbeddings::new(http_client, cx.background())),
Arc::new(OpenAIEmbeddings::new(api_key, http_client, cx.background())),
languages.clone(),
cx.clone(),
)