Extract PromptStore
and PromptBuilder
to new prompt_library
crate (#23254)
This PR adds a new `prompt_library` crate and extracts the `PromptStore` and `PromptBuilder` to it. Eventually we'll want to house the `PromptLibrary` itself in this crate, but right now that involves untangling a few dependencies. Release Notes: - N/A
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24 changed files with 524 additions and 768 deletions
412
crates/prompt_library/src/prompt_store.rs
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412
crates/prompt_library/src/prompt_store.rs
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@ -0,0 +1,412 @@
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use anyhow::{anyhow, Result};
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use chrono::{DateTime, Utc};
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use collections::HashMap;
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use futures::future::{self, BoxFuture, Shared};
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use futures::FutureExt as _;
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use fuzzy::StringMatchCandidate;
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use gpui::{AppContext, BackgroundExecutor, Global, ReadGlobal, SharedString, Task};
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use heed::{
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types::{SerdeBincode, SerdeJson, Str},
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Database, RoTxn,
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};
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use parking_lot::RwLock;
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use rope::Rope;
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use serde::{Deserialize, Serialize};
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use std::{
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cmp::Reverse,
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future::Future,
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path::PathBuf,
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sync::{atomic::AtomicBool, Arc},
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};
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use text::LineEnding;
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use util::ResultExt;
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use uuid::Uuid;
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/// Init starts loading the PromptStore in the background and assigns
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/// a shared future to a global.
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pub fn init(cx: &mut AppContext) {
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let db_path = paths::prompts_dir().join("prompts-library-db.0.mdb");
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let prompt_store_future = PromptStore::new(db_path, cx.background_executor().clone())
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.then(|result| future::ready(result.map(Arc::new).map_err(Arc::new)))
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.boxed()
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.shared();
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cx.set_global(GlobalPromptStore(prompt_store_future))
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}
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#[derive(Clone, Debug, Serialize, Deserialize)]
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pub struct PromptMetadata {
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pub id: PromptId,
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pub title: Option<SharedString>,
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pub default: bool,
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pub saved_at: DateTime<Utc>,
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}
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#[derive(Clone, Copy, Debug, PartialEq, Eq, Hash, Serialize, Deserialize)]
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#[serde(tag = "kind")]
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pub enum PromptId {
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User { uuid: Uuid },
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EditWorkflow,
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}
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impl PromptId {
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pub fn new() -> PromptId {
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PromptId::User {
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uuid: Uuid::new_v4(),
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}
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}
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pub fn is_built_in(&self) -> bool {
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!matches!(self, PromptId::User { .. })
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}
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}
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pub struct PromptStore {
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executor: BackgroundExecutor,
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env: heed::Env,
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metadata_cache: RwLock<MetadataCache>,
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metadata: Database<SerdeJson<PromptId>, SerdeJson<PromptMetadata>>,
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bodies: Database<SerdeJson<PromptId>, Str>,
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}
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#[derive(Default)]
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struct MetadataCache {
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metadata: Vec<PromptMetadata>,
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metadata_by_id: HashMap<PromptId, PromptMetadata>,
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}
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impl MetadataCache {
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fn from_db(
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db: Database<SerdeJson<PromptId>, SerdeJson<PromptMetadata>>,
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txn: &RoTxn,
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) -> Result<Self> {
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let mut cache = MetadataCache::default();
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for result in db.iter(txn)? {
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let (prompt_id, metadata) = result?;
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cache.metadata.push(metadata.clone());
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cache.metadata_by_id.insert(prompt_id, metadata);
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}
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cache.sort();
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Ok(cache)
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}
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fn insert(&mut self, metadata: PromptMetadata) {
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self.metadata_by_id.insert(metadata.id, metadata.clone());
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if let Some(old_metadata) = self.metadata.iter_mut().find(|m| m.id == metadata.id) {
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*old_metadata = metadata;
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} else {
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self.metadata.push(metadata);
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}
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self.sort();
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}
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fn remove(&mut self, id: PromptId) {
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self.metadata.retain(|metadata| metadata.id != id);
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self.metadata_by_id.remove(&id);
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}
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fn sort(&mut self) {
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self.metadata.sort_unstable_by(|a, b| {
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a.title
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.cmp(&b.title)
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.then_with(|| b.saved_at.cmp(&a.saved_at))
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});
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}
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}
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impl PromptStore {
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pub fn global(cx: &AppContext) -> impl Future<Output = Result<Arc<Self>>> {
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let store = GlobalPromptStore::global(cx).0.clone();
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async move { store.await.map_err(|err| anyhow!(err)) }
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}
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pub fn new(db_path: PathBuf, executor: BackgroundExecutor) -> Task<Result<Self>> {
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executor.spawn({
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let executor = executor.clone();
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async move {
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std::fs::create_dir_all(&db_path)?;
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let db_env = unsafe {
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heed::EnvOpenOptions::new()
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.map_size(1024 * 1024 * 1024) // 1GB
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.max_dbs(4) // Metadata and bodies (possibly v1 of both as well)
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.open(db_path)?
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};
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let mut txn = db_env.write_txn()?;
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let metadata = db_env.create_database(&mut txn, Some("metadata.v2"))?;
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let bodies = db_env.create_database(&mut txn, Some("bodies.v2"))?;
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// Remove edit workflow prompt, as we decided to opt into it using
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// a slash command instead.
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metadata.delete(&mut txn, &PromptId::EditWorkflow).ok();
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bodies.delete(&mut txn, &PromptId::EditWorkflow).ok();
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txn.commit()?;
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Self::upgrade_dbs(&db_env, metadata, bodies).log_err();
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let txn = db_env.read_txn()?;
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let metadata_cache = MetadataCache::from_db(metadata, &txn)?;
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txn.commit()?;
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Ok(PromptStore {
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executor,
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env: db_env,
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metadata_cache: RwLock::new(metadata_cache),
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metadata,
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bodies,
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})
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}
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})
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}
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fn upgrade_dbs(
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env: &heed::Env,
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metadata_db: heed::Database<SerdeJson<PromptId>, SerdeJson<PromptMetadata>>,
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bodies_db: heed::Database<SerdeJson<PromptId>, Str>,
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) -> Result<()> {
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#[derive(Clone, Debug, Eq, PartialEq, Serialize, Deserialize, Hash)]
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pub struct PromptIdV1(Uuid);
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#[derive(Clone, Debug, Serialize, Deserialize)]
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pub struct PromptMetadataV1 {
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pub id: PromptIdV1,
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pub title: Option<SharedString>,
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pub default: bool,
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pub saved_at: DateTime<Utc>,
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}
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let mut txn = env.write_txn()?;
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let Some(bodies_v1_db) = env
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.open_database::<SerdeBincode<PromptIdV1>, SerdeBincode<String>>(
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&txn,
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Some("bodies"),
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)?
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else {
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return Ok(());
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};
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let mut bodies_v1 = bodies_v1_db
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.iter(&txn)?
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.collect::<heed::Result<HashMap<_, _>>>()?;
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let Some(metadata_v1_db) = env
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.open_database::<SerdeBincode<PromptIdV1>, SerdeBincode<PromptMetadataV1>>(
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&txn,
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Some("metadata"),
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)?
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else {
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return Ok(());
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};
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let metadata_v1 = metadata_v1_db
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.iter(&txn)?
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.collect::<heed::Result<HashMap<_, _>>>()?;
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for (prompt_id_v1, metadata_v1) in metadata_v1 {
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let prompt_id_v2 = PromptId::User {
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uuid: prompt_id_v1.0,
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};
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let Some(body_v1) = bodies_v1.remove(&prompt_id_v1) else {
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continue;
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};
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if metadata_db
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.get(&txn, &prompt_id_v2)?
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.map_or(true, |metadata_v2| {
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metadata_v1.saved_at > metadata_v2.saved_at
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})
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{
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metadata_db.put(
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&mut txn,
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&prompt_id_v2,
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&PromptMetadata {
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id: prompt_id_v2,
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title: metadata_v1.title.clone(),
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default: metadata_v1.default,
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saved_at: metadata_v1.saved_at,
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},
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)?;
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bodies_db.put(&mut txn, &prompt_id_v2, &body_v1)?;
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}
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}
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txn.commit()?;
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Ok(())
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}
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pub fn load(&self, id: PromptId) -> Task<Result<String>> {
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let env = self.env.clone();
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let bodies = self.bodies;
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self.executor.spawn(async move {
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let txn = env.read_txn()?;
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let mut prompt = bodies
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.get(&txn, &id)?
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.ok_or_else(|| anyhow!("prompt not found"))?
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.into();
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LineEnding::normalize(&mut prompt);
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Ok(prompt)
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})
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}
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pub fn default_prompt_metadata(&self) -> Vec<PromptMetadata> {
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return self
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.metadata_cache
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.read()
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.metadata
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.iter()
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.filter(|metadata| metadata.default)
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.cloned()
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.collect::<Vec<_>>();
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}
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pub fn delete(&self, id: PromptId) -> Task<Result<()>> {
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self.metadata_cache.write().remove(id);
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let db_connection = self.env.clone();
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let bodies = self.bodies;
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let metadata = self.metadata;
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self.executor.spawn(async move {
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let mut txn = db_connection.write_txn()?;
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metadata.delete(&mut txn, &id)?;
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bodies.delete(&mut txn, &id)?;
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txn.commit()?;
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Ok(())
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})
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}
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/// Returns the number of prompts in the store.
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pub fn prompt_count(&self) -> usize {
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self.metadata_cache.read().metadata.len()
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}
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pub fn metadata(&self, id: PromptId) -> Option<PromptMetadata> {
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self.metadata_cache.read().metadata_by_id.get(&id).cloned()
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}
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pub fn first(&self) -> Option<PromptMetadata> {
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self.metadata_cache.read().metadata.first().cloned()
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}
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pub fn id_for_title(&self, title: &str) -> Option<PromptId> {
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let metadata_cache = self.metadata_cache.read();
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let metadata = metadata_cache
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.metadata
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.iter()
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.find(|metadata| metadata.title.as_ref().map(|title| &***title) == Some(title))?;
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Some(metadata.id)
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}
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pub fn search(&self, query: String) -> Task<Vec<PromptMetadata>> {
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let cached_metadata = self.metadata_cache.read().metadata.clone();
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let executor = self.executor.clone();
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self.executor.spawn(async move {
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let mut matches = if query.is_empty() {
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cached_metadata
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} else {
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let candidates = cached_metadata
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.iter()
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.enumerate()
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.filter_map(|(ix, metadata)| {
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Some(StringMatchCandidate::new(ix, metadata.title.as_ref()?))
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})
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.collect::<Vec<_>>();
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let matches = fuzzy::match_strings(
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&candidates,
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&query,
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false,
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100,
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&AtomicBool::default(),
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executor,
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)
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.await;
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matches
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.into_iter()
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.map(|mat| cached_metadata[mat.candidate_id].clone())
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.collect()
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};
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matches.sort_by_key(|metadata| Reverse(metadata.default));
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matches
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})
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}
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pub fn save(
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&self,
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id: PromptId,
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title: Option<SharedString>,
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default: bool,
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body: Rope,
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) -> Task<Result<()>> {
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if id.is_built_in() {
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return Task::ready(Err(anyhow!("built-in prompts cannot be saved")));
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}
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let prompt_metadata = PromptMetadata {
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id,
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title,
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default,
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saved_at: Utc::now(),
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};
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self.metadata_cache.write().insert(prompt_metadata.clone());
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let db_connection = self.env.clone();
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let bodies = self.bodies;
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let metadata = self.metadata;
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self.executor.spawn(async move {
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let mut txn = db_connection.write_txn()?;
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metadata.put(&mut txn, &id, &prompt_metadata)?;
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bodies.put(&mut txn, &id, &body.to_string())?;
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txn.commit()?;
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Ok(())
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})
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}
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pub fn save_metadata(
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&self,
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id: PromptId,
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mut title: Option<SharedString>,
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default: bool,
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) -> Task<Result<()>> {
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let mut cache = self.metadata_cache.write();
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if id.is_built_in() {
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title = cache
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.metadata_by_id
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.get(&id)
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.and_then(|metadata| metadata.title.clone());
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}
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let prompt_metadata = PromptMetadata {
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id,
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title,
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default,
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saved_at: Utc::now(),
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};
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cache.insert(prompt_metadata.clone());
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let db_connection = self.env.clone();
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let metadata = self.metadata;
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self.executor.spawn(async move {
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let mut txn = db_connection.write_txn()?;
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metadata.put(&mut txn, &id, &prompt_metadata)?;
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txn.commit()?;
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Ok(())
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})
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}
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}
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/// Wraps a shared future to a prompt store so it can be assigned as a context global.
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pub struct GlobalPromptStore(
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Shared<BoxFuture<'static, Result<Arc<PromptStore>, Arc<anyhow::Error>>>>,
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);
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impl Global for GlobalPromptStore {}
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