Files
ImageApi/src/bin/backfill_hashes.rs
Cameron b9d5578653 feat(bins): multi-library populate_knowledge + progress UX
populate_knowledge now loads real libraries from the DB instead of
fabricating a single library_id=1 row from BASE_PATH. Adds --library
<id|name> to restrict the walk and validates --path against the selected
library roots. The full library set is still passed to InsightGenerator so
resolve_full_path can probe every root when an insight resolves to a
different library than the one being walked.

Adds indicatif progress bars across the long-running utility binaries via
a shared src/bin_progress.rs helper (determinate bar + open-ended spinner
with consistent styling). Per-batch info! noise is replaced by the bar's
throughput/ETA; warnings and errors route through pb.println so they
scroll above the bar instead of fighting with it.

  populate_knowledge   spinner during scan, determinate bar over all libs
  backfill_hashes      spinner with running hashed/missing/errors counts
  import_calendar      determinate bar; embedding/store failures inline
  import_location_*    determinate bar advancing by chunk size
  import_search_*      determinate bar; pb cloned into the spawn task
  cleanup_files P1     determinate bar over DB paths
  cleanup_files P2     determinate bar; pb.suspend() around y/n/a/s prompt

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-26 23:55:33 -04:00

187 lines
6.5 KiB
Rust

//! Backfill `image_exif.content_hash` + `size_bytes` for rows that were
//! ingested before hash computation was wired into the watcher.
//!
//! The watcher computes hashes for new files as they're ingested, so this
//! binary is a one-shot tool for the historical backlog. Safe to re-run;
//! only rows with NULL content_hash are processed.
use std::path::Path;
use std::sync::{Arc, Mutex};
use std::time::Instant;
use clap::Parser;
use log::{error, warn};
use rayon::prelude::*;
use image_api::bin_progress;
use image_api::content_hash;
use image_api::database::{ExifDao, SqliteExifDao, connect};
use image_api::libraries::{self, Library};
#[derive(Parser, Debug)]
#[command(name = "backfill_hashes")]
#[command(about = "Compute content_hash for image_exif rows missing one")]
struct Args {
/// Max rows to hash per batch. The process loops until no rows remain.
#[arg(long, default_value_t = 500)]
batch_size: i64,
/// Rayon parallelism override. 0 uses the default thread pool size.
#[arg(long, default_value_t = 0)]
parallelism: usize,
/// Dry-run: log what would be hashed without writing to the DB.
#[arg(long)]
dry_run: bool,
}
fn main() -> anyhow::Result<()> {
env_logger::init();
dotenv::dotenv().ok();
let args = Args::parse();
if args.parallelism > 0 {
rayon::ThreadPoolBuilder::new()
.num_threads(args.parallelism)
.build_global()
.expect("Unable to configure rayon thread pool");
}
// Resolve libraries (patch placeholder if still unset) so we can map
// library_id back to a root_path on disk.
let base_path = dotenv::var("BASE_PATH").ok();
let mut seed_conn = connect();
if let Some(base) = base_path.as_deref() {
libraries::seed_or_patch_from_env(&mut seed_conn, base);
}
let libs = libraries::load_all(&mut seed_conn);
drop(seed_conn);
if libs.is_empty() {
anyhow::bail!("No libraries configured; cannot backfill hashes");
}
let libs_by_id: std::collections::HashMap<i32, Library> =
libs.into_iter().map(|lib| (lib.id, lib)).collect();
println!(
"Configured libraries: {}",
libs_by_id
.values()
.map(|l| format!("{} -> {}", l.name, l.root_path))
.collect::<Vec<_>>()
.join(", ")
);
let dao: Arc<Mutex<Box<dyn ExifDao>>> = Arc::new(Mutex::new(Box::new(SqliteExifDao::new())));
let ctx = opentelemetry::Context::new();
let mut total_hashed = 0u64;
let mut total_missing = 0u64;
let mut total_errors = 0u64;
let start = Instant::now();
let pb = bin_progress::spinner("hashing");
loop {
let rows = {
let mut guard = dao.lock().expect("Unable to lock ExifDao");
guard
.get_rows_missing_hash(&ctx, args.batch_size)
.map_err(|e| anyhow::anyhow!("DB error: {:?}", e))?
};
if rows.is_empty() {
break;
}
let batch_size = rows.len();
pb.set_message(format!(
"batch of {} (hashed={} missing={} errors={})",
batch_size, total_hashed, total_missing, total_errors
));
// Compute hashes in parallel (I/O-bound; rayon helps on local disks,
// throttled by network on SMB mounts — use --parallelism to tune).
let results: Vec<(i32, String, Option<content_hash::FileIdentity>)> = rows
.into_par_iter()
.map(|(library_id, rel_path)| {
let abs = libs_by_id
.get(&library_id)
.map(|lib| Path::new(&lib.root_path).join(&rel_path));
match abs {
Some(abs_path) if abs_path.exists() => match content_hash::compute(&abs_path) {
Ok(id) => (library_id, rel_path, Some(id)),
Err(e) => {
error!("hash error for {}: {:?}", abs_path.display(), e);
(library_id, rel_path, None)
}
},
Some(_) => (library_id, rel_path, None), // file missing on disk
None => {
warn!("Row refers to unknown library_id {}", library_id);
(library_id, rel_path, None)
}
}
})
.collect();
// Persist sequentially — SQLite writes serialize anyway.
if !args.dry_run {
let mut guard = dao.lock().expect("Unable to lock ExifDao");
for (library_id, rel_path, ident) in &results {
match ident {
Some(id) => {
match guard.backfill_content_hash(
&ctx,
*library_id,
rel_path,
&id.content_hash,
id.size_bytes,
) {
Ok(_) => {
total_hashed += 1;
pb.inc(1);
}
Err(e) => {
pb.println(format!("persist error for {}: {:?}", rel_path, e));
total_errors += 1;
}
}
}
None => {
total_missing += 1;
}
}
}
} else {
for (_, rel_path, ident) in &results {
match ident {
Some(id) => {
pb.println(format!(
"[dry-run] {} -> {} ({} bytes)",
rel_path, id.content_hash, id.size_bytes
));
total_hashed += 1;
pb.inc(1);
}
None => {
total_missing += 1;
}
}
}
pb.println(format!(
"[dry-run] processed one batch of {}. Stopping — a real run would continue \
until no NULL content_hash rows remain.",
results.len()
));
break;
}
}
pb.finish_and_clear();
println!(
"Done. hashed={}, skipped (missing on disk)={}, errors={}, elapsed={:.1}s",
total_hashed,
total_missing,
total_errors,
start.elapsed().as_secs_f64()
);
Ok(())
}