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A lexicon-driven AppView for ATProto.
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std::collections::HashMap;use std::sync::Arc;use std::sync::atomic::{AtomicBool, AtomicI32, Ordering};
use axum::Json;use axum::extract::{Path, State};use axum::http::StatusCode;use futures_util::FutureExt;use futures_util::stream::{self, FuturesUnordered, StreamExt};use serde::Deserialize;use serde_json::Value;use tokio::sync::mpsc;use uuid::Uuid;
use rand::RngExt;
use crate::AppState;use crate::db::{adapt_sql, now_rfc3339};use crate::error::AppError;use crate::event_log::{EventLog, Severity, log_event};use crate::http_retry::parse_retry_after;use crate::profile;
use super::auth::UserAuth;use super::permissions::Permission;use super::types::{BackfillJob, CreateBackfillBody};
// ---------------------------------------------------------------------------// Response types// ---------------------------------------------------------------------------
#[derive(Deserialize)]struct ListReposResponse { repos: Vec<RepoEntry>, cursor: Option<String>,}
#[derive(Deserialize)]struct RepoEntry { did: String,}
#[derive(Deserialize)]struct ListRecordsResponse { records: Vec<RecordEntry>, cursor: Option<String>,}
#[derive(Deserialize)]struct RecordEntry { uri: String, cid: String, value: serde_json::Value,}
// ---------------------------------------------------------------------------// Helpers// ---------------------------------------------------------------------------
async fn set_stage(state: &AppState, job_id: &str, stage: &str) { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET stage = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(stage) .bind(job_id) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::JobStageChanged { job_id: job_id.to_string(), stage: stage.to_string(), }, );}
async fn update_job_counter(state: &AppState, job_id: &str, column: &str, value: i32) { let query = match column { "total_repos" => "UPDATE happyview_backfill_jobs SET total_repos = ? WHERE id = ?", "resolved_repos" => "UPDATE happyview_backfill_jobs SET resolved_repos = ? WHERE id = ?", "processed_repos" => "UPDATE happyview_backfill_jobs SET processed_repos = ? WHERE id = ?", "total_records" => "UPDATE happyview_backfill_jobs SET total_records = ? WHERE id = ?", other => { tracing::error!( column = other, "update_job_counter called with unknown column" ); return; } }; let sql = adapt_sql(query, state.db_backend); let _ = crate::db::query(&sql) .bind(value) .bind(job_id) .execute(&state.backfill_db) .await;}
async fn count_repos(state: &AppState, job_id: &str) -> i32 { let sql = adapt_sql( "SELECT COUNT(*) FROM happyview_backfill_repos WHERE job_id = ?", state.db_backend, ); crate::db::query_as::<(i32,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c) .unwrap_or(0)}
fn publish_event(state: &AppState, event: super::types::BackfillEvent) { let _ = state.backfill_events_tx.send(event);}
fn random_batch_threshold(base: i32) -> i32 { let low = base - base / 10; rand::rng().random_range(low..=base)}
struct BackfillConcurrency { resolution: usize, pds: usize, dids_per_pds: usize,}
async fn load_concurrency(state: &AppState) -> BackfillConcurrency { let resolution = super::settings::get_setting( &state.db, "backfill_concurrent_resolution", state.db_backend, ) .await .and_then(|v| v.parse().ok()) .unwrap_or(100usize) .max(1); let pds = super::settings::get_setting(&state.db, "backfill_concurrent_pds", state.db_backend) .await .and_then(|v| v.parse().ok()) .unwrap_or(10usize) .max(1); let dids_per_pds = super::settings::get_setting( &state.db, "backfill_concurrent_dids_per_pds", state.db_backend, ) .await .and_then(|v| v.parse().ok()) .unwrap_or(3usize) .max(1); BackfillConcurrency { resolution, pds, dids_per_pds, }}
async fn fail_job(state: &AppState, job_id: &str, error: &str) { let now = now_rfc3339(); let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'failed', completed_at = ?, error = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(&now) .bind(error) .bind(job_id) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::JobCompleted { job_id: job_id.to_string(), status: "failed".to_string(), error: Some(error.to_string()), }, );}
async fn should_stop(state: &AppState, job_id: &str) -> Option<&'static str> { let sql = adapt_sql( "SELECT status FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); let status = crate::db::query_as::<(String,)>(&sql) .bind(job_id) .fetch_optional(&state.backfill_db) .await .ok() .flatten() .map(|(s,)| s); match status.as_deref() { Some("cancelling") => Some("cancelling"), Some("pausing") => Some("pausing"), _ => None, }}
async fn should_stop_worker(state: &AppState, job_id: &str) -> bool { should_stop(state, job_id).await.is_some()}
async fn request_cancel(state: &AppState, job_id: &str) { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'cancelling' WHERE id = ? AND status IN ('running', 'paused')", state.db_backend, ); let _ = crate::db::query(&sql) .bind(job_id) .execute(&state.backfill_db) .await;}
async fn finalise_cancel(state: &AppState, job_id: &str) { let now = now_rfc3339(); let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'cancelled', completed_at = ?, error = 'cancelled by user' WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(&now) .bind(job_id) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::JobCompleted { job_id: job_id.to_string(), status: "cancelled".to_string(), error: None, }, );}
async fn request_pause(state: &AppState, job_id: &str) { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'pausing' WHERE id = ? AND status = 'running'", state.db_backend, ); let _ = crate::db::query(&sql) .bind(job_id) .execute(&state.backfill_db) .await;}
async fn finalise_pause(state: &AppState, job_id: &str) { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'paused' WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(job_id) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::JobCompleted { job_id: job_id.to_string(), status: "paused".to_string(), error: None, }, );}
async fn complete_job( state: &AppState, job_id: &str, processed_repos: i32, total_records: i32, error: Option<&str>,) { let now = now_rfc3339(); let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'completed', stage = 'completed', completed_at = ?, processed_repos = ?, total_records = ?, error = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(&now) .bind(processed_repos) .bind(total_records) .bind(error) .bind(job_id) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::JobCompleted { job_id: job_id.to_string(), status: "completed".to_string(), error: error.map(|e| e.to_string()), }, );}
// ---------------------------------------------------------------------------// Phase 1: Discover repos via relay// ---------------------------------------------------------------------------
async fn run_discovery_phase( state: &AppState, job_id: &str, collections: &[String], specific_did: Option<&str>,) { set_stage(state, job_id, "discovering_repos").await;
if let Some(did) = specific_did { let sql = adapt_sql( "INSERT INTO happyview_backfill_repos (job_id, did) VALUES (?, ?) ON CONFLICT DO NOTHING", state.db_backend, ); let _ = crate::db::query(&sql) .bind(job_id) .bind(did) .execute(&state.backfill_db) .await; publish_event( state, super::types::BackfillEvent::RepoDiscovered { job_id: job_id.to_string(), did: did.to_string(), }, ); } else { stream::iter(collections.iter()) .for_each_concurrent(5, |collection| async move { if should_stop_worker(state, job_id).await { return; } if let Err(e) = discover_repos_from_relay(state, job_id, collection).await { tracing::warn!(collection, error = %e, "failed to discover repos, skipping"); } }) .await; }
let total = count_repos(state, job_id).await; update_job_counter(state, job_id, "total_repos", total).await; publish_event( state, super::types::BackfillEvent::JobCounters { job_id: job_id.to_string(), total_repos: Some(total), resolved_repos: None, processed_repos: None, total_records: None, }, );}
async fn discover_repos_from_relay( state: &AppState, job_id: &str, collection: &str,) -> Result<(), String> { let base = state.config.relay_url.trim_end_matches('/'); let mut cursor: Option<String> = None; let mut running_total: i32 = count_repos(state, job_id).await;
loop { let mut url = format!( "{base}/xrpc/com.atproto.sync.listReposByCollection?collection={collection}&limit=1000" ); if let Some(ref c) = cursor { url.push_str(&format!("&cursor={c}")); }
let resp = loop { let r = state .http .get(&url) .send() .await .map_err(|e| format!("relay request failed: {e}"))?;
if r.status() == reqwest::StatusCode::TOO_MANY_REQUESTS { let wait = parse_retry_after(r.headers()); tracing::warn!(collection, wait, "rate limited by relay, sleeping"); tokio::time::sleep(tokio::time::Duration::from_secs(wait)).await; continue; }
break r; };
if !resp.status().is_success() { return Err(format!("relay returned {}", resp.status())); }
let body: ListReposResponse = resp .json() .await .map_err(|e| format!("invalid relay response: {e}"))?;
let page_count = body.repos.len();
if !body.repos.is_empty() { // SQLite has a 999 bound-parameter limit; each row uses 2 params let chunk_size = if state.db_backend == crate::db::DatabaseBackend::Sqlite { 499 } else { 1000 };
for chunk in body.repos.chunks(chunk_size) { let base_sql = "INSERT INTO happyview_backfill_repos (job_id, did) VALUES "; let placeholders: Vec<String> = chunk .iter() .enumerate() .map(|(i, _)| { if state.db_backend == crate::db::DatabaseBackend::Postgres { format!("(${}, ${})", i * 2 + 1, i * 2 + 2) } else { "(?, ?)".to_string() } }) .collect(); let sql = format!( "{base_sql}{} ON CONFLICT DO NOTHING", placeholders.join(", ") );
let mut query = crate::db::query(&sql); for repo in chunk { query = query.bind(job_id).bind(&repo.did); } if let Ok(result) = query.execute(&state.backfill_db).await { running_total += result.rows_affected() as i32; } } }
update_job_counter(state, job_id, "total_repos", running_total).await; publish_event( state, super::types::BackfillEvent::JobCounters { job_id: job_id.to_string(), total_repos: Some(running_total), resolved_repos: None, processed_repos: None, total_records: None, }, );
if should_stop_worker(state, job_id).await { return Ok(()); }
match body.cursor { Some(c) if page_count > 0 => cursor = Some(c), _ => break, } }
Ok(())}
// ---------------------------------------------------------------------------// Pipelined Phase 2+3: Resolve PDS endpoints and fetch records concurrently// ---------------------------------------------------------------------------
async fn run_pipelined_resolve_and_fetch( state: &AppState, job_id: &str, collections: &[String], concurrency: &BackfillConcurrency,) -> (i32, i32) { set_stage(state, job_id, "resolving_and_fetching").await;
// Count already-resolved and already-completed repos for accurate progress let already_resolved: i32 = { let sql = adapt_sql( "SELECT COUNT(*) FROM happyview_backfill_repos WHERE job_id = ? AND pds_endpoint IS NOT NULL", state.db_backend, ); crate::db::query_as::<(i32,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c) .unwrap_or(0) };
let already_completed: i32 = { let sql = adapt_sql( "SELECT COUNT(*) FROM happyview_backfill_repos WHERE job_id = ? AND status = 'completed'", state.db_backend, ); crate::db::query_as::<(i32,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c) .unwrap_or(0) };
update_job_counter(state, job_id, "resolved_repos", already_resolved).await; update_job_counter(state, job_id, "processed_repos", already_completed).await;
let existing_records: i32 = { let sql = adapt_sql( "SELECT total_records FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); crate::db::query_as::<(Option<i32>,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c.unwrap_or(0)) .unwrap_or(0) };
// Shared atomics for lock-free counter updates let resolved_repos = Arc::new(AtomicI32::new(already_resolved)); let processed_repos = Arc::new(AtomicI32::new(already_completed)); let total_records = Arc::new(AtomicI32::new(existing_records)); let cancelled = Arc::new(AtomicBool::new(false));
let (tx, mut rx) = mpsc::channel::<(String, String)>(256); let tx_resolver = tx.clone(); let tx_backlog = tx.clone();
// --- Resolver task --- let resolution_concurrency = concurrency.resolution; let resolver_state = state.clone(); let resolver_job_id = job_id.to_string(); let resolver_resolved = Arc::clone(&resolved_repos); let resolver_cancelled = Arc::clone(&cancelled);
let resolver_handle = tokio::spawn(async move { let sql = adapt_sql( "SELECT did FROM happyview_backfill_repos WHERE job_id = ? AND pds_endpoint IS NULL", resolver_state.db_backend, ); let unresolved: Vec<(String,)> = crate::db::query_as(&sql) .bind(&resolver_job_id) .fetch_all(&resolver_state.backfill_db) .await .unwrap_or_default();
let mut attempted: i32 = 0; let mut next_flush = random_batch_threshold(100); let mut next_cancel_check = random_batch_threshold(10);
let stream_state = resolver_state.clone(); let stream_cancelled = Arc::clone(&resolver_cancelled); let mut results = stream::iter(unresolved) .map(move |(did,)| { let state = stream_state.clone(); let cancelled = Arc::clone(&stream_cancelled); async move { if cancelled.load(Ordering::Relaxed) { return None; } let result = profile::resolve_pds_endpoint(&state.http, &state.config.plc_url, &did) .await; Some((did, result)) } }) .buffer_unordered(resolution_concurrency);
while let Some(item) = results.next().await { let Some((did, result)) = item else { break; };
match result { Ok(pds) => { let sql = adapt_sql( "UPDATE happyview_backfill_repos SET pds_endpoint = ? WHERE job_id = ? AND did = ?", resolver_state.db_backend, ); let _ = crate::db::query(&sql) .bind(&pds) .bind(&resolver_job_id) .bind(&did) .execute(&resolver_state.backfill_db) .await;
publish_event( &resolver_state, super::types::BackfillEvent::RepoResolved { job_id: resolver_job_id.clone(), did: did.clone(), pds_endpoint: pds.clone(), }, );
let count = resolver_resolved.fetch_add(1, Ordering::Relaxed) + 1; if count >= next_flush { update_job_counter( &resolver_state, &resolver_job_id, "resolved_repos", count, ) .await; next_flush = count + random_batch_threshold(100); } publish_event( &resolver_state, super::types::BackfillEvent::JobCounters { job_id: resolver_job_id.clone(), total_repos: None, resolved_repos: Some(count), processed_repos: None, total_records: None, }, );
if tx_resolver.send((did, pds)).await.is_err() { break; } } Err(e) => { tracing::warn!(did, error = %e, "failed to resolve PDS endpoint, skipping DID"); } }
attempted += 1; if attempted >= next_cancel_check { if should_stop_worker(&resolver_state, &resolver_job_id).await { resolver_cancelled.store(true, Ordering::Relaxed); break; } next_cancel_check = attempted + random_batch_threshold(10); } }
// Persist final resolved count let final_resolved = resolver_resolved.load(Ordering::Relaxed); update_job_counter( &resolver_state, &resolver_job_id, "resolved_repos", final_resolved, ) .await; // tx is dropped here, signalling the fetcher that no more DIDs are coming });
// --- Also send already-resolved-but-unfetched DIDs to the fetcher --- let pending_sql = adapt_sql( "SELECT did, pds_endpoint FROM happyview_backfill_repos WHERE job_id = ? AND status = 'pending' AND pds_endpoint IS NOT NULL", state.db_backend, ); let pending_rows: Vec<(String, String)> = crate::db::query_as(&pending_sql) .bind(job_id) .fetch_all(&state.backfill_db) .await .unwrap_or_default();
let backlog_cancelled = Arc::clone(&cancelled); let backlog_handle = tokio::spawn(async move { for (did, pds) in pending_rows { if backlog_cancelled.load(Ordering::Relaxed) { break; } if tx_backlog.send((did, pds)).await.is_err() { break; } } });
// Drop our copy of tx so the channel closes when both senders finish drop(tx);
// --- Fetcher: receive (did, pds) pairs and dispatch to PDS workers --- // Each PDS gets its own worker with a DID channel. Workers acquire a // semaphore permit before starting, limiting concurrent PDS connections. // We never hold the workers lock across an `.await` — use `try_send` to // avoid blocking when a worker's channel is full (overflow goes to a // retry queue drained on each iteration). let state = Arc::new(state.clone()); let collections = Arc::new(collections.to_vec()); let job_id_arc = Arc::new(job_id.to_string());
let pds_semaphore = Arc::new(tokio::sync::Semaphore::new(concurrency.pds)); let mut pds_workers: HashMap<String, mpsc::Sender<String>> = HashMap::new(); let mut worker_handles = FuturesUnordered::new(); let mut overflow: Vec<(String, String)> = Vec::new();
loop { if cancelled.load(Ordering::Relaxed) { break; }
let poll_state = Arc::clone(&state); let poll_job_id = Arc::clone(&job_id_arc); let poll_cancelled = Arc::clone(&cancelled); let pair = tokio::select! { result = rx.recv() => result, _ = async move { loop { tokio::time::sleep(std::time::Duration::from_millis(500)).await; if poll_cancelled.load(Ordering::Relaxed) || should_stop_worker(&poll_state, &poll_job_id).await { poll_cancelled.store(true, Ordering::Relaxed); return; } } } => None, }; let Some((did, pds_endpoint)) = pair else { break; };
// Also drain any overflow from previous iterations overflow.push((did, pds_endpoint));
let mut still_pending = Vec::new(); for (did, pds_endpoint) in overflow.drain(..) { if cancelled.load(Ordering::Relaxed) { break; }
// Try to send to an existing PDS worker if let Some(pds_tx) = pds_workers.get(&pds_endpoint) { match pds_tx.try_send(did.clone()) { Ok(()) => continue, Err(mpsc::error::TrySendError::Full(_)) => { still_pending.push((did, pds_endpoint)); continue; } Err(mpsc::error::TrySendError::Closed(_)) => { // Worker finished, will be removed below } } }
// Remove stale workers whose channels have closed pds_workers.retain(|_, tx| !tx.is_closed());
// Spawn a new PDS worker let permit = Arc::clone(&pds_semaphore); let (pds_tx, pds_rx) = mpsc::channel::<String>(64); let _ = pds_tx.try_send(did); pds_workers.insert(pds_endpoint.clone(), pds_tx);
let ctx = FetchContext { state: Arc::clone(&state), job_id: Arc::clone(&job_id_arc), collections: Arc::clone(&collections), processed_repos: Arc::clone(&processed_repos), total_records: Arc::clone(&total_records), cancelled: Arc::clone(&cancelled), dids_per_pds: concurrency.dids_per_pds, };
worker_handles.push(tokio::spawn(async move { let _permit = permit .acquire() .await .expect("semaphore should not be closed");
run_pds_worker(ctx, pds_endpoint, pds_rx).await; })); } overflow = still_pending;
// Drain any completed worker handles to avoid unbounded accumulation while let Some(result) = worker_handles.next().now_or_never() { if let Some(Err(e)) = result { tracing::warn!(error = %e, "PDS worker task panicked"); } } }
// Drain remaining overflow after channel closes for (did, pds_endpoint) in overflow.drain(..) { if cancelled.load(Ordering::Relaxed) { break; }
// Remove stale workers pds_workers.retain(|_, tx| !tx.is_closed());
if let Some(pds_tx) = pds_workers.get(&pds_endpoint) { // Channel is bounded; this can block, but all senders are done so it's fine let _ = pds_tx.send(did).await; continue; }
let permit = Arc::clone(&pds_semaphore); let (pds_tx, pds_rx) = mpsc::channel::<String>(64); let _ = pds_tx.try_send(did); pds_workers.insert(pds_endpoint.clone(), pds_tx);
let ctx = FetchContext { state: Arc::clone(&state), job_id: Arc::clone(&job_id_arc), collections: Arc::clone(&collections), processed_repos: Arc::clone(&processed_repos), total_records: Arc::clone(&total_records), cancelled: Arc::clone(&cancelled), dids_per_pds: concurrency.dids_per_pds, };
worker_handles.push(tokio::spawn(async move { let _permit = permit .acquire() .await .expect("semaphore should not be closed");
run_pds_worker(ctx, pds_endpoint.clone(), pds_rx).await; })); }
// Drop all PDS senders so workers know no more DIDs are coming drop(pds_workers);
// Wait for all PDS workers to finish while let Some(result) = worker_handles.next().await { if let Err(e) = result { tracing::warn!(error = %e, "PDS worker task panicked"); } }
// Wait for resolver and backlog tasks let _ = resolver_handle.await; let _ = backlog_handle.await;
let final_repos = processed_repos.load(Ordering::Relaxed); let final_records = total_records.load(Ordering::Relaxed);
// Persist final counts let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET processed_repos = ?, total_records = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(final_repos) .bind(final_records) .bind(job_id) .execute(&state.backfill_db) .await;
(final_repos, final_records)}
struct FetchContext { state: Arc<AppState>, job_id: Arc<String>, collections: Arc<Vec<String>>, processed_repos: Arc<AtomicI32>, total_records: Arc<AtomicI32>, cancelled: Arc<AtomicBool>, dids_per_pds: usize,}
async fn run_pds_worker(ctx: FetchContext, pds_endpoint: String, mut rx: mpsc::Receiver<String>) { let FetchContext { state, job_id, collections, processed_repos, total_records, cancelled, dids_per_pds, } = ctx; let mut fetches = FuturesUnordered::new(); let mut rx_open = true; let mut next_flush = random_batch_threshold(10);
loop { tokio::select! { biased;
Some(result) = fetches.next(), if !fetches.is_empty() => { let (did, records): (String, i32) = result; total_records.fetch_add(records, Ordering::Relaxed);
// Mark DID as completed let sql = adapt_sql( "UPDATE happyview_backfill_repos SET status = 'completed', records_fetched = ? WHERE job_id = ? AND did = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(records) .bind(job_id.as_str()) .bind(&did) .execute(&state.backfill_db) .await;
publish_event(&state, super::types::BackfillEvent::RepoFetched { job_id: job_id.to_string(), did: did.clone(), pds_endpoint: pds_endpoint.clone(), records_fetched: records, });
let repos = processed_repos.fetch_add(1, Ordering::Relaxed) + 1; let records = total_records.load(Ordering::Relaxed); if repos >= next_flush { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET processed_repos = ?, total_records = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(repos) .bind(records) .bind(job_id.as_str()) .execute(&state.backfill_db) .await; next_flush = repos + random_batch_threshold(10); } if cancelled.load(Ordering::Relaxed) || should_stop_worker(&state, job_id.as_str()).await { cancelled.store(true, Ordering::Relaxed); break; } publish_event(&state, super::types::BackfillEvent::JobCounters { job_id: job_id.to_string(), total_repos: None, resolved_repos: None, processed_repos: Some(repos), total_records: Some(records), }); }
did = rx.recv(), if rx_open && fetches.len() < dids_per_pds => { match did { Some(did) if !cancelled.load(Ordering::Relaxed) => { let state = Arc::clone(&state); let collections = collections.clone(); let pds_endpoint = pds_endpoint.clone(); let cancelled = Arc::clone(&cancelled);
fetches.push(async move { let mut count: i32 = 0; for collection in collections.iter() { if cancelled.load(Ordering::Relaxed) { break; } match fetch_records_from_pds( &state, &pds_endpoint, &did, collection, &cancelled, ) .await { Ok(c) => count += c as i32, Err(e) => { tracing::warn!( did, collection, pds = %pds_endpoint, error = %e, "failed to fetch records from PDS" ); } } } (did, count) }); } _ => { rx_open = false; } } }
else => break, } }
// Drain any remaining fetches while let Some(result) = fetches.next().await { let (did, records): (String, i32) = result; total_records.fetch_add(records, Ordering::Relaxed);
let sql = adapt_sql( "UPDATE happyview_backfill_repos SET status = 'completed', records_fetched = ? WHERE job_id = ? AND did = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(records) .bind(job_id.as_str()) .bind(&did) .execute(&state.backfill_db) .await;
publish_event( &state, super::types::BackfillEvent::RepoFetched { job_id: job_id.to_string(), did: did.clone(), pds_endpoint: pds_endpoint.clone(), records_fetched: records, }, );
processed_repos.fetch_add(1, Ordering::Relaxed); }}
// ---------------------------------------------------------------------------// Phase 3: Fetch records from PDS instances (legacy, for resumed jobs)// ---------------------------------------------------------------------------
async fn run_fetching_phase( state: &AppState, job_id: &str, collections: &[String], concurrency: &BackfillConcurrency,) -> (i32, i32) { set_stage(state, job_id, "fetching_records").await;
// Load pending repos grouped by PDS let sql = adapt_sql( "SELECT did, pds_endpoint FROM happyview_backfill_repos WHERE job_id = ? AND status = 'pending' AND pds_endpoint IS NOT NULL", state.db_backend, ); let rows: Vec<(String, String)> = crate::db::query_as(&sql) .bind(job_id) .fetch_all(&state.backfill_db) .await .unwrap_or_default();
let mut pds_to_dids: HashMap<String, Vec<String>> = HashMap::new(); for (did, pds) in rows { pds_to_dids.entry(pds).or_default().push(did); }
// Count already-completed repos for accurate progress let sql = adapt_sql( "SELECT COUNT(*) FROM happyview_backfill_repos WHERE job_id = ? AND status = 'completed'", state.db_backend, ); let already_completed: i32 = crate::db::query_as::<(i32,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c) .unwrap_or(0);
// Reset processed_repos for the fetching phase update_job_counter(state, job_id, "processed_repos", already_completed).await;
// Seed total_records from DB so a resumed job doesn't lose its prior count let existing_records: i32 = { let sql = adapt_sql( "SELECT total_records FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); crate::db::query_as::<(Option<i32>,)>(&sql) .bind(job_id) .fetch_one(&state.backfill_db) .await .map(|(c,)| c.unwrap_or(0)) .unwrap_or(0) };
let processed_repos = Arc::new(AtomicI32::new(already_completed)); let total_records = Arc::new(AtomicI32::new(existing_records)); let cancelled = Arc::new(AtomicBool::new(false)); let next_flush = Arc::new(AtomicI32::new( already_completed + random_batch_threshold(10), )); let state = Arc::new(state.clone()); let collections = Arc::new(collections.to_vec()); let job_id_arc = Arc::new(job_id.to_string());
let pds_entries: Vec<(String, Vec<String>)> = pds_to_dids.into_iter().collect();
let dids_per_pds = concurrency.dids_per_pds; stream::iter(pds_entries) .for_each_concurrent(concurrency.pds, |(pds_endpoint, dids)| { let state = Arc::clone(&state); let collections = Arc::clone(&collections); let processed_repos = Arc::clone(&processed_repos); let total_records = Arc::clone(&total_records); let cancelled = Arc::clone(&cancelled); let next_flush = Arc::clone(&next_flush); let job_id = Arc::clone(&job_id_arc);
async move { stream::iter(dids) .for_each_concurrent(dids_per_pds, |did| { let state = Arc::clone(&state); let collections = Arc::clone(&collections); let processed_repos = Arc::clone(&processed_repos); let total_records = Arc::clone(&total_records); let cancelled = Arc::clone(&cancelled); let next_flush = Arc::clone(&next_flush); let pds_endpoint = pds_endpoint.clone(); let job_id = Arc::clone(&job_id);
async move { if cancelled.load(Ordering::Relaxed) { return; }
let mut did_records: i32 = 0; for collection in collections.iter() { if cancelled.load(Ordering::Relaxed) { break; } match fetch_records_from_pds( &state, &pds_endpoint, &did, collection, &cancelled, ) .await { Ok(count) => { did_records += count as i32; total_records .fetch_add(count as i32, Ordering::Relaxed); } Err(e) => { tracing::warn!( did, collection, pds = %pds_endpoint, error = %e, "failed to fetch records from PDS" ); } } }
// Mark DID as completed let sql = adapt_sql( "UPDATE happyview_backfill_repos SET status = 'completed', records_fetched = ? WHERE job_id = ? AND did = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(did_records) .bind(job_id.as_str()) .bind(&did) .execute(&state.backfill_db) .await;
let repos = processed_repos.fetch_add(1, Ordering::Relaxed) + 1; let records = total_records.load(Ordering::Relaxed);
let threshold = next_flush.load(Ordering::Relaxed); if repos >= threshold && next_flush.compare_exchange(threshold, repos + random_batch_threshold(10), Ordering::Relaxed, Ordering::Relaxed).is_ok() { let backend = state.db_backend; let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET processed_repos = ?, total_records = ? WHERE id = ?", backend, ); let _ = crate::db::query(&sql) .bind(repos) .bind(records) .bind(job_id.as_str()) .execute(&state.backfill_db) .await;
if should_stop_worker(&state, job_id.as_str()).await { cancelled.store(true, Ordering::Relaxed); } }
publish_event(&state, super::types::BackfillEvent::JobCounters { job_id: job_id.to_string(), total_repos: None, resolved_repos: None, processed_repos: Some(repos), total_records: Some(records), }); } }) .await; } }) .await;
let final_repos = processed_repos.load(Ordering::Relaxed); let final_records = total_records.load(Ordering::Relaxed);
// Persist final counts so they're accurate regardless of batch size let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET processed_repos = ?, total_records = ? WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(final_repos) .bind(final_records) .bind(job_id) .execute(&state.backfill_db) .await;
(final_repos, final_records)}
struct PreparedRecord { uri: String, did: String, collection: String, rkey: String, record_json: String, cid: String,}
async fn batch_upsert_records(state: &AppState, batch: &[PreparedRecord]) { if batch.is_empty() { return; }
let backend = state.db_backend; let now = now_rfc3339();
// Build multi-row INSERT. 8 params per row; ON CONFLICT uses EXCLUDED. let placeholders: Vec<String> = (0..batch.len()) .map(|_| "(?, ?, ?, ?, ?, ?, ?, ?)".to_string()) .collect(); let raw_sql = format!( "INSERT INTO happyview_records (uri, did, collection, rkey, record, cid, indexed_at, created_at) VALUES {} ON CONFLICT (uri) DO UPDATE SET record = EXCLUDED.record, cid = EXCLUDED.cid, indexed_at = EXCLUDED.indexed_at", placeholders.join(", ") ); let sql = adapt_sql(&raw_sql, backend);
let mut query = crate::db::query(&sql); for rec in batch { query = query .bind(&rec.uri) .bind(&rec.did) .bind(&rec.collection) .bind(&rec.rkey) .bind(&rec.record_json) .bind(&rec.cid) .bind(&now) .bind(&now); }
if let Err(e) = query.execute(&state.backfill_db).await { tracing::warn!(batch_size = batch.len(), "batch record upsert failed: {e}"); }
// Batch sync_refs: delete old refs for all URIs, then insert new ones. let uris: Vec<&str> = batch.iter().map(|r| r.uri.as_str()).collect(); let delete_placeholders: Vec<&str> = (0..uris.len()).map(|_| "?").collect(); let delete_raw = format!( "DELETE FROM happyview_record_refs WHERE source_uri IN ({})", delete_placeholders.join(", ") ); let delete_sql = adapt_sql(&delete_raw, backend); let mut del_query = crate::db::query(&delete_sql); for uri in &uris { del_query = del_query.bind(*uri); } let _ = del_query.execute(&state.backfill_db).await;
// Collect all new refs and batch insert them let mut all_refs: Vec<(&str, String, &str)> = Vec::new(); for rec in batch { let record_val: serde_json::Value = serde_json::from_str(&rec.record_json).unwrap_or_default(); for target_uri in crate::record_refs::extract_at_uris(&record_val) { all_refs.push((&rec.uri, target_uri, &rec.collection)); } }
// Insert refs in chunks to stay within SQLite's param limit (3 params per ref) for chunk in all_refs.chunks(300) { let ref_placeholders: Vec<&str> = (0..chunk.len()).map(|_| "(?, ?, ?)").collect(); let ref_raw = format!( "INSERT INTO happyview_record_refs (source_uri, target_uri, collection) VALUES {} ON CONFLICT DO NOTHING", ref_placeholders.join(", ") ); let ref_sql = adapt_sql(&ref_raw, backend); let mut ref_query = crate::db::query(&ref_sql); for (source, target, collection) in chunk { ref_query = ref_query.bind(*source).bind(target).bind(*collection); } let _ = ref_query.execute(&state.backfill_db).await; }
// Queue label backfill only if there are active labeler subscriptions. // Check once per batch instead of spawning a task per record. let has_subscriptions: bool = crate::db::query_as::<(i64,)>( "SELECT COUNT(*) FROM happyview_labeler_subscriptions WHERE status = 'active'", ) .fetch_one(&state.db) .await .map(|(c,)| c > 0) .unwrap_or(false);
if has_subscriptions { for rec in batch { crate::labeler::backfill_labels_for_uri(Arc::new(state.clone()), rec.uri.clone()); } }}
/// Fetch all records for a given DID and collection from a PDS via/// `com.atproto.repo.listRecords`, paginating and handling rate limits.async fn fetch_records_from_pds( state: &AppState, pds_endpoint: &str, did: &str, collection: &str, cancelled: &AtomicBool,) -> Result<u32, String> { let base = pds_endpoint.trim_end_matches('/'); let mut cursor: Option<String> = None; let mut count: u32 = 0; loop { if cancelled.load(Ordering::Relaxed) { break; }
let mut url = format!( "{base}/xrpc/com.atproto.repo.listRecords?repo={did}&collection={collection}&limit=100" ); if let Some(ref c) = cursor { url.push_str(&format!("&cursor={c}")); }
let resp = state .http .get(&url) .send() .await .map_err(|e| format!("PDS request failed: {e}"))?;
if resp.status() == reqwest::StatusCode::TOO_MANY_REQUESTS { let wait = parse_retry_after(resp.headers()); tracing::warn!(did, collection, wait, "rate limited by PDS, sleeping"); tokio::time::sleep(tokio::time::Duration::from_secs(wait)).await; continue; }
if !resp.status().is_success() { return Err(format!("PDS returned {}", resp.status())); }
let body: ListRecordsResponse = resp .json() .await .map_err(|e| format!("invalid PDS response: {e}"))?;
let page_count = body.records.len();
let mut batch: Vec<PreparedRecord> = Vec::with_capacity(page_count); for entry in &body.records { let rkey = entry.uri.rsplit('/').next().unwrap_or_default().to_string(); let uri = format!("at://{did}/{collection}/{rkey}");
// Reject records whose claimed CID doesn't match their content // (security review L9). The backfill source PDS is attacker- // controllable via the DID document, so a hostile PDS could serve a // record under a mismatched CID. Skip on mismatch; `Skipped` // (unencodable value) proceeds unchanged. if crate::cid_verify::verify_record_cid(&entry.cid, &entry.value) == crate::cid_verify::CidCheck::Mismatch { tracing::warn!( collection, did, rkey, claimed_cid = %entry.cid, "record content does not match claimed CID, skipping" ); continue; }
let rec_to_store = match crate::lua::run_record_event_script( state, crate::lua::RecordEventPayload { nsid: collection, action: "create", uri: &uri, did, rkey: &rkey, record: Some(&entry.value), }, ) .await { None => continue, Some(v) => v, };
batch.push(PreparedRecord { uri, did: did.to_string(), collection: collection.to_string(), rkey, record_json: serde_json::to_string(&rec_to_store).unwrap_or_default(), cid: entry.cid.clone(), }); }
count += batch.len() as u32; batch_upsert_records(state, &batch).await;
match body.cursor { Some(c) if page_count > 0 => cursor = Some(c), _ => break, } }
Ok(count)}
// ---------------------------------------------------------------------------// Background backfill worker// ---------------------------------------------------------------------------
async fn run_backfill_job(state: AppState, job_id: String) { let backend = state.db_backend;
// Load job metadata let sql = adapt_sql( "SELECT collection, did, stage FROM happyview_backfill_jobs WHERE id = ?", backend, ); let job: Option<(Option<String>, Option<String>, String)> = crate::db::query_as(&sql) .bind(&job_id) .fetch_optional(&state.backfill_db) .await .ok() .flatten();
let Some((collection, did, stage)) = job else { tracing::error!(job_id, "backfill job not found"); return; };
// Determine target collections let collections: Vec<String> = if let Some(ref col) = collection { let lexicon_exists: bool = state .lexicons .get(col) .await .is_some_and(|lex| lex.lexicon_type == crate::lexicon::LexiconType::Record); if !lexicon_exists { let error = format!("no record-type lexicon registered for collection '{col}'"); fail_job(&state, &job_id, &error).await; return; } vec![col.clone()] } else { let sql = adapt_sql( "SELECT id FROM happyview_lexicons WHERE json_extract(lexicon_json, '$.defs.main.type') = 'record'", backend, ); let rows: Vec<(String,)> = match crate::db::query_as(&sql) .fetch_all(&state.backfill_db) .await { Ok(rows) => rows, Err(e) => { let error = format!("failed to query backfill-eligible lexicons: {e}"); fail_job(&state, &job_id, &error).await; return; } }; rows.into_iter().map(|(id,)| id).collect() };
if collections.is_empty() { complete_job( &state, &job_id, 0, 0, Some("no backfill-eligible collections"), ) .await; return; }
// Run phases, skipping those already completed if matches!(stage.as_str(), "pending" | "discovering_repos") { run_discovery_phase(&state, &job_id, &collections, did.as_deref()).await;
match should_stop(&state, &job_id).await { Some("cancelling") => { tracing::info!(job_id, "backfill job cancelled"); finalise_cancel(&state, &job_id).await; return; } Some("pausing") => { tracing::info!(job_id, "backfill job paused"); finalise_pause(&state, &job_id).await; return; } _ => {} }
let total = count_repos(&state, &job_id).await; if total == 0 { complete_job(&state, &job_id, 0, 0, None).await; log_event( &state.db, EventLog { event_type: "backfill.completed".to_string(), severity: Severity::Info, actor_did: None, subject: collection.clone(), detail: serde_json::json!({ "job_id": job_id, "total_repos": 0, "total_records": 0, }), }, backend, ) .await; return; } }
let concurrency = load_concurrency(&state).await; let (final_processed, final_records) = if matches!( stage.as_str(), "pending" | "discovering_repos" | "resolving_pds" | "resolving_and_fetching" ) { run_pipelined_resolve_and_fetch(&state, &job_id, &collections, &concurrency).await } else { // stage == "fetching_records": resolution already done (legacy or resumed) run_fetching_phase(&state, &job_id, &collections, &concurrency).await };
match should_stop(&state, &job_id).await { Some("cancelling") => { tracing::info!(job_id, "backfill job cancelled"); finalise_cancel(&state, &job_id).await; return; } Some("pausing") => { tracing::info!(job_id, "backfill job paused"); finalise_pause(&state, &job_id).await; return; } _ => {} }
complete_job(&state, &job_id, final_processed, final_records, None).await;
log_event( &state.db, EventLog { event_type: "backfill.completed".to_string(), severity: Severity::Info, actor_did: None, subject: collection, detail: serde_json::json!({ "job_id": job_id, "total_repos": final_processed, "total_records": final_records, }), }, backend, ) .await;}
// ---------------------------------------------------------------------------// Admin handlers// ---------------------------------------------------------------------------
/// POST /admin/backfill — create a backfill job and spawn background work.pub(super) async fn create_backfill( State(state): State<AppState>, admin: UserAuth, Json(body): Json<CreateBackfillBody>,) -> Result<(StatusCode, Json<Value>), AppError> { admin.require(Permission::BackfillCreate).await?; let backend = state.db_backend;
let now = now_rfc3339(); let job_id = Uuid::new_v4().to_string(); let sql = adapt_sql( "INSERT INTO happyview_backfill_jobs (id, collection, did, status, stage, started_at, created_at) VALUES (?, ?, ?, 'running', 'pending', ?, ?) RETURNING id", backend, ); let row: (String,) = crate::db::query_as(&sql) .bind(&job_id) .bind(&body.collection) .bind(&body.did) .bind(&now) .bind(&now) .fetch_one(&state.db) .await .map_err(|e| AppError::Internal(format!("failed to create backfill job: {e}")))?;
let job_id = row.0.clone();
log_event( &state.db, EventLog { event_type: "backfill.started".to_string(), severity: Severity::Info, actor_did: Some(admin.did.clone()), subject: body.collection.clone(), detail: serde_json::json!({ "job_id": job_id.clone(), }), }, backend, ) .await;
let spawn_state = state.clone(); let spawn_job_id = job_id.clone(); tokio::spawn(async move { run_backfill_job(spawn_state, spawn_job_id).await; });
Ok(( StatusCode::CREATED, Json(serde_json::json!({ "id": job_id, "status": "running", })), ))}
/// POST /admin/backfill/{id}/cancel — cancel a running backfill job.pub(super) async fn cancel_backfill( State(state): State<AppState>, admin: UserAuth, Path(job_id): Path<String>,) -> Result<Json<Value>, AppError> { admin.require(Permission::BackfillCreate).await?;
let sql = adapt_sql( "SELECT status FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); let row: Option<(String,)> = crate::db::query_as(&sql) .bind(&job_id) .fetch_optional(&state.db) .await .map_err(|e| AppError::Internal(format!("failed to query backfill job: {e}")))?;
match row { None => Err(AppError::NotFound("backfill job not found".into())), Some((ref status,)) if status == "cancelling" || status == "cancelled" => { Ok(Json(serde_json::json!({ "id": job_id, "status": status }))) } Some((ref status,)) if status == "paused" => { finalise_cancel(&state, &job_id).await; log_event( &state.db, EventLog { event_type: "backfill.cancelled".to_string(), severity: Severity::Info, actor_did: Some(admin.did.clone()), subject: None, detail: serde_json::json!({ "job_id": job_id }), }, state.db_backend, ) .await; Ok(Json( serde_json::json!({ "id": job_id, "status": "cancelled" }), )) } Some((status,)) if status != "running" => Err(AppError::BadRequest(format!( "job is not running (status: {status})" ))), Some(_) => { request_cancel(&state, &job_id).await; log_event( &state.db, EventLog { event_type: "backfill.cancelling".to_string(), severity: Severity::Info, actor_did: Some(admin.did.clone()), subject: None, detail: serde_json::json!({ "job_id": job_id }), }, state.db_backend, ) .await; Ok(Json( serde_json::json!({ "id": job_id, "status": "cancelling" }), )) } }}
/// POST /admin/backfill/{id}/pause — pause a running backfill job.pub(super) async fn pause_backfill( State(state): State<AppState>, admin: UserAuth, Path(job_id): Path<String>,) -> Result<Json<Value>, AppError> { admin.require(Permission::BackfillCreate).await?;
let sql = adapt_sql( "SELECT status FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); let row: Option<(String,)> = crate::db::query_as(&sql) .bind(&job_id) .fetch_optional(&state.backfill_db) .await .map_err(|e| AppError::Internal(format!("failed to query backfill job: {e}")))?;
match row { None => Err(AppError::NotFound("backfill job not found".into())), Some((ref status,)) if status == "pausing" || status == "paused" => { Ok(Json(serde_json::json!({ "id": job_id, "status": status }))) } Some((status,)) if status != "running" => Err(AppError::BadRequest(format!( "job is not running (status: {status})" ))), Some(_) => { request_pause(&state, &job_id).await; log_event( &state.db, EventLog { event_type: "backfill.pausing".to_string(), severity: Severity::Info, actor_did: Some(admin.did.clone()), subject: None, detail: serde_json::json!({ "job_id": job_id }), }, state.db_backend, ) .await; Ok(Json( serde_json::json!({ "id": job_id, "status": "pausing" }), )) } }}
/// POST /admin/backfill/{id}/resume — resume a paused backfill job.pub(super) async fn resume_backfill( State(state): State<AppState>, admin: UserAuth, Path(job_id): Path<String>,) -> Result<Json<Value>, AppError> { admin.require(Permission::BackfillCreate).await?;
let sql = adapt_sql( "SELECT status FROM happyview_backfill_jobs WHERE id = ?", state.db_backend, ); let row: Option<(String,)> = crate::db::query_as(&sql) .bind(&job_id) .fetch_optional(&state.backfill_db) .await .map_err(|e| AppError::Internal(format!("failed to query backfill job: {e}")))?;
match row { None => Err(AppError::NotFound("backfill job not found".into())), Some((status,)) if status != "paused" => Err(AppError::BadRequest(format!( "job is not paused (status: {status})" ))), Some(_) => { let sql = adapt_sql( "UPDATE happyview_backfill_jobs SET status = 'running' WHERE id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(&job_id) .execute(&state.backfill_db) .await;
let spawn_state = state.clone(); let spawn_job_id = job_id.clone(); tokio::spawn(async move { run_backfill_job(spawn_state, spawn_job_id).await; });
log_event( &state.db, EventLog { event_type: "backfill.resumed".to_string(), severity: Severity::Info, actor_did: Some(admin.did.clone()), subject: None, detail: serde_json::json!({ "job_id": job_id }), }, state.db_backend, ) .await; Ok(Json( serde_json::json!({ "id": job_id, "status": "running" }), )) } }}
/// GET /admin/backfill/status — list all backfill jobs.pub(super) async fn backfill_status( State(state): State<AppState>, auth: UserAuth,) -> Result<Json<Vec<BackfillJob>>, AppError> { auth.require(Permission::BackfillRead).await?; let backend = state.db_backend;
let sql = adapt_sql( "SELECT id, collection, did, status, stage, total_repos, resolved_repos, processed_repos, total_records, error, started_at, completed_at, created_at FROM happyview_backfill_jobs ORDER BY created_at DESC", backend, ); #[allow(clippy::type_complexity)] let rows: Vec<( String, Option<String>, Option<String>, String, String, Option<i32>, Option<i32>, Option<i32>, Option<i32>, Option<String>, Option<String>, Option<String>, String, )> = crate::db::query_as(&sql) .fetch_all(&state.backfill_db) .await .map_err(|e| AppError::Internal(format!("failed to list backfill jobs: {e}")))?;
let jobs: Vec<BackfillJob> = rows .into_iter() .map( |( id, collection, did, status, stage, total_repos, resolved_repos, processed_repos, total_records, error, started_at, completed_at, created_at, )| { BackfillJob { id, collection, did, status, stage, total_repos, resolved_repos, processed_repos, total_records, error, started_at, completed_at, created_at, } }, ) .collect();
Ok(Json(jobs))}
// ---------------------------------------------------------------------------// SSE events endpoint// ---------------------------------------------------------------------------
pub(super) async fn backfill_events( State(state): State<AppState>, Path(job_id): Path<String>, auth: UserAuth,) -> Result< axum::response::sse::Sse< impl futures_util::Stream<Item = Result<axum::response::sse::Event, std::convert::Infallible>>, >, AppError,> { auth.require(Permission::BackfillRead).await?;
let mut rx = state.backfill_events_tx.subscribe();
let stream = async_stream::stream! { loop { match rx.recv().await { Ok(event) => { let event_job_id = match &event { super::types::BackfillEvent::RepoDiscovered { job_id, .. } | super::types::BackfillEvent::RepoResolved { job_id, .. } | super::types::BackfillEvent::RepoFetched { job_id, .. } | super::types::BackfillEvent::JobCounters { job_id, .. } | super::types::BackfillEvent::JobStageChanged { job_id, .. } | super::types::BackfillEvent::JobCompleted { job_id, .. } => job_id, }; if *event_job_id != job_id { continue; } if let Ok(json) = serde_json::to_string(&event) { yield Ok(axum::response::sse::Event::default().event("event").data(json)); } } Err(tokio::sync::broadcast::error::RecvError::Lagged(n)) => { tracing::warn!(job_id, skipped = n, "SSE client lagged behind"); continue; } Err(tokio::sync::broadcast::error::RecvError::Closed) => break, } } };
Ok(axum::response::sse::Sse::new(stream).keep_alive(axum::response::sse::KeepAlive::default()))}
// ---------------------------------------------------------------------------// REST detail endpoints// ---------------------------------------------------------------------------
#[derive(Deserialize)]pub(super) struct ReposQuery { phase: Option<String>, cursor: Option<String>, limit: Option<i32>,}
pub(super) async fn backfill_repos( State(state): State<AppState>, Path(job_id): Path<String>, auth: UserAuth, axum::extract::Query(query): axum::extract::Query<ReposQuery>,) -> Result<Json<super::types::BackfillReposResponse>, AppError> { auth.require(Permission::BackfillRead).await?;
let limit = query.limit.unwrap_or(50).min(100); let phase_filter = match query.phase.as_deref() { Some("resolved") => " AND pds_endpoint IS NOT NULL", Some("fetched") => " AND status = 'completed'", _ => "", }; let cursor_filter = if query.cursor.is_some() { " AND did > ?" } else { "" };
let sql_str = format!( "SELECT did, pds_endpoint, status, records_fetched FROM happyview_backfill_repos WHERE job_id = ?{phase_filter}{cursor_filter} ORDER BY did ASC LIMIT ?", ); let sql = adapt_sql(&sql_str, state.db_backend);
let mut q = crate::db::query_as::<(String, Option<String>, String, i32)>(&sql).bind(&job_id); if let Some(ref cursor) = query.cursor { q = q.bind(cursor); } q = q.bind(limit + 1);
let rows: Vec<(String, Option<String>, String, i32)> = q .fetch_all(&state.backfill_db) .await .map_err(|e| AppError::Internal(format!("failed to query backfill repos: {e}")))?;
let has_more = rows.len() > limit as usize; let repos: Vec<super::types::BackfillRepoEntry> = rows .into_iter() .take(limit as usize) .map( |(did, pds_endpoint, status, records_fetched)| super::types::BackfillRepoEntry { did, pds_endpoint, status, records_fetched, }, ) .collect();
let cursor = if has_more { repos.last().map(|r| r.did.clone()) } else { None };
Ok(Json(super::types::BackfillReposResponse { repos, cursor }))}
pub(super) async fn backfill_pds_summary( State(state): State<AppState>, Path(job_id): Path<String>, auth: UserAuth,) -> Result<Json<super::types::PdsSummaryResponse>, AppError> { auth.require(Permission::BackfillRead).await?;
let sql = adapt_sql( "SELECT pds_endpoint, COUNT(*) as total_repos, SUM(CASE WHEN status = 'completed' THEN 1 ELSE 0 END) as completed_repos, SUM(records_fetched) as total_records FROM happyview_backfill_repos WHERE job_id = ? AND pds_endpoint IS NOT NULL GROUP BY pds_endpoint ORDER BY COUNT(*) DESC", state.db_backend, );
let rows: Vec<(String, i32, i32, i64)> = crate::db::query_as(&sql) .bind(&job_id) .fetch_all(&state.backfill_db) .await .map_err(|e| AppError::Internal(format!("failed to query PDS summary: {e}")))?;
let pds_endpoints: Vec<super::types::PdsSummaryEntry> = rows .into_iter() .map( |(pds_endpoint, total_repos, completed_repos, total_records)| { super::types::PdsSummaryEntry { pds_endpoint, total_repos, completed_repos, total_records: total_records as i32, } }, ) .collect();
Ok(Json(super::types::PdsSummaryResponse { pds_endpoints }))}
// ---------------------------------------------------------------------------// Flush endpoints// ---------------------------------------------------------------------------
pub(super) async fn flush_backfill_details( State(state): State<AppState>, Path(job_id): Path<String>, auth: UserAuth,) -> Result<StatusCode, AppError> { auth.require(Permission::BackfillCreate).await?;
let sql = adapt_sql( "DELETE FROM happyview_backfill_repos WHERE job_id = ?", state.db_backend, ); let _ = crate::db::query(&sql) .bind(&job_id) .execute(&state.backfill_db) .await;
Ok(StatusCode::NO_CONTENT)}
pub(super) async fn flush_all_backfill_details( State(state): State<AppState>, auth: UserAuth,) -> Result<StatusCode, AppError> { auth.require(Permission::BackfillCreate).await?;
let sql = adapt_sql( "DELETE FROM happyview_backfill_repos WHERE job_id IN (SELECT id FROM happyview_backfill_jobs WHERE status IN ('completed', 'cancelled', 'failed'))", state.db_backend, ); let _ = crate::db::query(&sql).execute(&state.backfill_db).await;
Ok(StatusCode::NO_CONTENT)}
// ---------------------------------------------------------------------------// Retention cleanup// ---------------------------------------------------------------------------
pub async fn run_backfill_retention_cleanup(state: &AppState) { use super::settings::get_setting;
let mut interval = tokio::time::interval(tokio::time::Duration::from_secs(86400));
loop { interval.tick().await;
let retention_days: i64 = get_setting( &state.backfill_db, "backfill_retention_days", state.db_backend, ) .await .and_then(|v| v.parse().ok()) .unwrap_or(28);
if retention_days == 0 { continue; }
let cutoff = chrono::Utc::now() - chrono::Duration::days(retention_days); let cutoff_str = cutoff.to_rfc3339();
let sql = adapt_sql( "DELETE FROM happyview_backfill_repos WHERE job_id IN (SELECT id FROM happyview_backfill_jobs WHERE completed_at IS NOT NULL AND completed_at < ?)", state.db_backend, ); match crate::db::query(&sql) .bind(&cutoff_str) .execute(&state.backfill_db) .await { Ok(result) => { let deleted = result.rows_affected(); if deleted > 0 { tracing::info!( deleted, retention_days, "cleaned up old backfill detail rows" ); } } Err(e) => { tracing::warn!(error = %e, "backfill retention cleanup failed"); } } }}
// ---------------------------------------------------------------------------// Startup resumption// ---------------------------------------------------------------------------
/// Resume any backfill jobs that were running when the server last stopped./// Jobs stuck in `cancelling` are finalised immediately.pub async fn resume_backfill_jobs(state: &AppState) { let sql = adapt_sql( "SELECT id, status FROM happyview_backfill_jobs WHERE status IN ('running', 'cancelling', 'pausing')", state.db_backend, ); let rows: Vec<(String, String)> = crate::db::query_as(&sql) .fetch_all(&state.backfill_db) .await .unwrap_or_default();
for (job_id, status) in rows { match status.as_str() { "cancelling" => { tracing::info!( job_id, "finalising cancelled backfill job from previous run" ); finalise_cancel(state, &job_id).await; } "pausing" => { tracing::info!(job_id, "finalising paused backfill job from previous run"); finalise_pause(state, &job_id).await; } _ => { tracing::info!(job_id, "resuming interrupted backfill job"); let spawn_state = state.clone(); tokio::spawn(async move { run_backfill_job(spawn_state, job_id).await; }); } } }}