Author SHA1 Message Date
clawhdf5 research phase 563cdd2178 research: implementation brief for perf/security/provenance pass (INT-01..19)
Read against ROADMAP.md/IMPROVEMENT_LOG.md/CLAUDE.md/CHANGELOG.md first so
nothing already-merged is re-proposed. 19 numbered INT items grouped by
crate (clawhdf5-agent provenance wiring, clawhdf5-format/io untrusted-file
parsing, clawhdf5-ann HNSW hot path, clawhdf5-py mutex poisoning), each with
file path, problem, and proposed change, plus a suggested implementation
order for the coding phase.
2026-08-16 23:57:29 +00:00
113 changed files with 1389 additions and 7288 deletions
-14
View File
@@ -22,19 +22,5 @@ jobs:
run: rustup component add rustfmt clippy
- name: Install thumbv7em-none-eabihf target
run: rustup target add thumbv7em-none-eabihf
- name: Install Python interop dependencies
# The interop suites used to skip silently when python3/h5py were
# missing, so they never ran in CI. Install them and make a missing
# dependency a failure (CLAWHDF5_REQUIRE_INTEROP below).
run: |
apt-get update
apt-get install -y --no-install-recommends python3 python3-venv
python3 -m venv /opt/interop
/opt/interop/bin/pip install --no-cache-dir h5py numpy netCDF4 xarray
echo "/opt/interop/bin" >> "$GITHUB_PATH"
- name: Show interop library versions
run: python3 -c "import h5py, netCDF4; print('h5py', h5py.__version__, 'HDF5', h5py.version.hdf5_version, 'netCDF4', netCDF4.__version__)"
- name: Run CI script
env:
CLAWHDF5_REQUIRE_INTEROP: "1"
run: bash scripts/ci-test.sh
+1 -161
View File
@@ -1,156 +1,6 @@
# Changelog
## v2.3.0 (2026-09-19)
### Upgrade Notes
- **A memory store now has a single writer.** `HDF5Memory::create`/`open` take
an exclusive lock (`<store>.h5.lock`); a second open of the same store — in
the same or another process — returns `MemoryError::Locked`. Code that opened
a second handle just to read should use `HDF5Memory::open_read_only`.
- **Unsigned array attributes arrive as `AttrValue::U64Array`**, not
`I64Array`, and `attrs()` may now return `AttrValue::Raw`. Exhaustive matches
on `AttrValue` need the two new arms.
- **WAL header version 3 → 4.** v3 files are read and upgraded in place, but a
store written by 2.3.0 with a pending WAL cannot be opened by 2.2.0 or
earlier (it is refused, not corrupted). Checkpoint first
(`flush_wal`) if you need to downgrade.
- `MemoryConfig::compression` now uses deflate unless the agent's new `zstd`
feature is enabled; it previously failed outright in a default build.
- `MemoryError` gained `Locked`; `FormatError` gained `UnresolvedSharedMessage`,
`ExternalDataFilesUnsupported` and `ExternalLinkUnsupported`; `MessageType`
gained `ExternalDataFiles`.
### Bug Fixes
- `clawhdf5-format`: compound datatypes written with **default libver bounds**
(datatype message version 1 — what plain `h5py.File(path, 'w')` produces)
were mis-parsed. The v1 member layout carries 28 bytes of legacy array
fields after the byte offset (the parser skipped 24), and v2 pads member
names to 8 bytes and has no array fields at all (the parser did neither), so
every member after the first byte offset was read from the wrong position —
typically surfacing as `Overflow("compound member ...")` on read. Found by
adding a default-libver axis to the h5py interop tests; byte-level regression
tests for v1 and v2 added.
- `clawhdf5-gpu`: `gpu_tests` could hang forever under the default parallel
test runner — every test created its own wgpu instance and device at once.
Tests now serialise GPU access, and GPU→CPU readback waits are bounded
(30 s) so a wedged driver returns `GpuError::BufferMap` instead of blocking.
- `clawhdf5-agent`: `benches/bench.rs` and `benches/memory_bench.rs` no longer
compiled against the current `strategy`/`consolidation` APIs.
### HDF5 Compatibility
- `clawhdf5-format`/`clawhdf5`: datasets and attributes that use a **committed
(named) datatype** now read correctly. They store a shared-message reference;
the facade parsed the reference bytes as the datatype (`Time { size: 0 }`,
unreadable data) and silently dropped such attributes. The shared-reference
parser itself was wrong for real files: version 2 has no reserved bytes, and
the version 3 types were inverted (1 = SOHM heap, 2 = committed).
- **Fill values are applied on read.** There was no Fill Value message parser:
the holes of a sparse chunked dataset read as zeros even when the fill value
was not zero (silently wrong data), and a dataset that was created but never
written failed with `NoDataAllocated` where h5py returns a filled array.
Messages v1v3 and the old 0x0004 form are parsed; the fill value is written
into exactly the chunk-grid cells missing from the chunk index.
- **Soft links are followed** during path resolution, in old- and new-style
groups (absolute/relative targets, links to groups, links through links),
with a depth limit so a link cycle is an error rather than a hang. A dangling
link reports the target it could not find.
- Things the reader does not follow are now explicit errors instead of wrong
answers: an external link is `ExternalLinkUnsupported { filename,
object_path }` (was `PathNotFound`), and a dataset whose raw data lives in
external files (message 0x0007, now a known `MessageType`) is
`ExternalDataFilesUnsupported` (it would otherwise read as fill values).
- **`attrs()` no longer drops attributes.** Any attribute whose datatype had
no `AttrValue` variant was omitted with no error — including every Python
`bool` (h5py stores `attrs["flag"] = True` as an enum), complex numbers,
compound values and object references. Now:
- numpy/h5py-style booleans (an enum of exactly `FALSE`=0 / `TRUE`=1) decode
as `I64` / `I64Array` of 0/1;
- new `AttrValue::U64Array` keeps unsigned arrays unsigned (they were cast to
`I64Array`, so values above `i64::MAX` came back negative). **Behaviour
change:** code matching `I64Array` for an unsigned attribute must also
match `U64Array` (the netCDF-4 CF helpers and Python bindings do);
- new `AttrValue::Raw { datatype, shape, data }` carries everything else
verbatim, decodable with `clawhdf5_format::data_read` against `datatype`.
Both new variants are writable, so an attribute can be copied between files
unchanged. Python receives `Raw` as `{"dtype", "shape", "data"}`.
- All of the above are covered by h5py interop tests under both default and
`libver='latest'` bounds, compared against h5py's own readback.
### Security
- `clawhdf5`: virtual-dataset source file names are untrusted input but were
joined straight onto the opened file's directory, so a crafted file could
make the reader open any path the process can reach (absolute path, or `..`
components). Only plain relative paths inside that directory are accepted.
### Durability & Integrity
- `clawhdf5-agent`: a crash between writing a checkpoint and truncating the WAL
no longer **duplicates every pending entry** on the next open. Each
checkpoint records a `WalMark` (byte length + chained CRC of the WAL prefix it
folded in) in `/meta`; `open()` skips exactly that prefix when it is still
present. No WAL format change for this; older files behave as before.
- `clawhdf5-agent`: checkpoints and snapshots are durable as a unit — the temp
file is synced before the rename and the directory after it. Individual WAL
appends remain unsynced by design (documented in `CLAUDE.md`).
- `clawhdf5-agent`: `save_or_update` hits are logged as a new `Update` WAL
record, so replay updates in place instead of appending a duplicate. WAL
header version 3 → 4 (so older builds refuse the file rather than truncating
a record they can't parse); v3 files are read and upgraded in place.
- `clawhdf5-agent`: loading validates every per-record dataset length (a
truncated store is now `MemoryError::Schema`, not a later panic), fixes the
`n.len() == n.len()` tautology that trusted a norms dataset of any length,
and rejects `embedding_dim == 0` with records present.
- `clawhdf5-agent`: eight behavioural `MemoryConfig` fields are now persisted in
`/meta`. Previously they reset to defaults on every open — a compressed store
was rewritten uncompressed, `wal_enabled = false` flipped back to `true`.
- `clawhdf5-agent`: `compression = true` never worked in a default build (it
requested Zstd without enabling the feature, so every checkpoint failed with
`unsupported filter: 32015`). Default builds now use deflate; Zstd is the new
opt-in `zstd` feature.
- `clawhdf5-agent`: **single-writer lock** (`<store>.h5.lock`,
`MemoryError::Locked`) — two handles on one store used to silently destroy
each other's data. New `HDF5Memory::open_read_only` gives a lock-free,
never-writing view; the CLI's read-only subcommands use it.
- `clawhdf5-agent`: an unreadable WAL (torn header / bad magic) is quarantined
(`HDF5Memory::quarantined_wal()`) instead of blocking `open()` of a healthy
store. A WAL from an unknown newer version still fails and is left intact.
- `clawhdf5-agent`: provenance records are renumbered on compaction (they
weren't, so every later `save_or_update` raised a false High integrity
alert); pending anomaly alerts and tracked sessions are bounded;
`snapshot()` includes entries still in the WAL.
- `clawhdf5-agent`: hybrid ranking is deterministic (index tie-breaks instead
of `HashMap` order); a set of identical positive scores — including a single
candidate — normalises to 1.0 rather than 0.0; the Hebbian boost no longer
reinforces zero-score filler results.
- `clawhdf5-format`: chunked/VDS/hyperslab reads size their buffers with
overflow-checked arithmetic and fallible allocation, so crafted dimensions
are `FormatError::Overflow` instead of a wrapped size or a process abort;
`parallel_read` bounds checks use `checked_add`.
- `clawhdf5`: a malformed filter-pipeline message is an error instead of being
treated as "no filters" (which returned compressed bytes as data);
`FileBuilder::write` is atomic and synced instead of truncating the
destination first.
### CI / Testing
- CI now lints every target (`cargo clippy --all-targets`) plus
`clawhdf5-format`'s optional features, compiles all benches, and tests the
format feature matrix. Previously test/bench code and feature-gated modules
were never linted; the accumulated clippy backlog is fixed.
- CI installs python3 + h5py/numpy/netCDF4/xarray and sets
`CLAWHDF5_REQUIRE_INTEROP=1`, which turns a missing interop dependency into a
test **failure**. Until now every h5py/netCDF4 interop test silently skipped
in CI, which is how the HDF5 2.0 compound bug fixed in v2.2.0 reached a user.
The `#[ignore]`d `writer_h5py_tests` suite is run explicitly.
- h5py-generated-file tests now cover default libver bounds as well as
`libver='latest'` (HDF5 2.0 raised the default low bound to 1.8).
- `clawhdf5-agent`: WAL property tests (round trip; after any corruption the
entries read back are an exact prefix of what was written — 1500 seeded
cases), a crash-recovery matrix (an on-disk image after every operation, the
checkpoint window, and the WAL torn at every byte length, each reopened and
checked against a model), and a WAL fuzz target.
- Optional fuzz smoke run (`CLAWHDF5_FUZZ_SECONDS=N scripts/ci-test.sh`); new
datatype corpus seeds for v1 compound and native complex messages.
## v2.2.0 (2026-09-18)
## Unreleased
### Security
- `clawhdf5-format`: bounded decompression output (`MAX_DECOMPRESS_SIZE`) for
@@ -395,16 +245,6 @@
reading compound types and — critically — every chunked/compressed dataset
written by HDF5 2.0. Found by running the h5py interop tests against
h5py 3.16 / HDF5 2.0.
Independently reported (with a patch) against the v2.1.0 tag by
M. Scot Breitenfeld (The HDF Group) — v2.1.0 predates this fix.
- `clawhdf5-format`: parse HDF5 2.0 native complex datatypes (class 11,
datatype version 5, e.g. `H5T_COMPLEX_IEEE_F64LE`). The properties are a
single base floating-point datatype, not a compound-style member list; the
old parser read the base type's bytes as member names, producing a garbage
datatype, and failed with `UnexpectedEof` when a complex type was nested in
a compound. It is now surfaced as the equivalent `{r, i}` compound (the
shape h5py writes for numpy complex dtypes), with a size check against the
base type. Validated end-to-end against an HDF5 2.0-written file.
### Performance
- `clawhdf5-format`: chunked writes now compress all chunks up front via
+1 -42
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@@ -33,48 +33,7 @@ Cargo workspace with 16 crates under `crates/` (plus `libaec-sys`, an internal F
the approximate `clawhdf5-ann` index for the vector stage (the index mirrors
the cache and self-heals on drift). Build the agent with
`--no-default-features --features float16` to force the exact linear cosine scan.
- WAL (write-ahead log) for crash-safe persistence, with a chained CRC32
trailer per entry (each entry's CRC folds in the previous entry's CRC) so a
corrupted, reordered, duplicated, or spliced entry stops replay cleanly
instead of loading bad or tampered data. The pre-chaining per-entry-CRC
format (v2) is still fully readable; the oldest no-CRC format (v1) is only
reachable through the one-time migration path in `HDF5Memory::open`, not
through the public `WalFile::read_entries`.
**What the WAL guarantees:** integrity, ordering, and recovery from a
*process* crash at any point — including between a checkpoint and the WAL
truncate (each checkpoint records a `WalMark` in `/meta`, and `open()` skips
the WAL prefix the `.h5` already contains, so entries are never applied
twice). Checkpoints and snapshots are made durable as a unit (temp file
synced, renamed, directory synced). **What it does not guarantee:**
individual WAL appends are *not* fsynced (a deliberate latency trade-off), so
saves made since the last checkpoint can be lost on power failure or kernel
panic. Current header version is 4 (adds the `Update` record used by
`save_or_update`); v3 files are read and upgraded in place.
- A store has a **single writer**: `HDF5Memory::create`/`open` hold an exclusive
advisory lock on `<store>.h5.lock` and a second opener gets
`MemoryError::Locked`. Use `HDF5Memory::open_read_only` for a lock-free,
never-writing point-in-time view (the CLI's `recall`/`stats`/`agents-md`/
`export` do). An unreadable WAL (torn header, bad magic) is quarantined to
`<store>.h5.wal.corrupt-<ts>` rather than blocking `open()`; a WAL with an
unknown *newer* version still fails and is left untouched.
- `MemoryConfig::compression` uses deflate by default; enable the agent's
`zstd` feature to compress embeddings with Zstd instead (links libzstd).
- `Dataset::verify_provenance()` (clawhdf5 facade, `provenance` feature, on by
default) recomputes a dataset's SHA-256 and compares it against the
`_provenance_sha256` attribute written automatically on save when
`DatasetBuilder::with_provenance` is used. It's opt-in per call, not run
automatically on open — it decodes and hashes the whole dataset. The hash
is unkeyed (tamper-*evident*, not tamper-*proof*): it detects accidental
corruption, not a deliberate actor able to modify both the data and the
stored hash.
- `clawhdf5-agent`'s `HDF5Memory::save`/`save_batch`/`save_or_update` run every
write through an in-memory (session-scoped, not persisted to disk)
provenance ledger and write-anomaly detector: a content hash per record
(`provenance.rs`) for detecting accidental mid-session corruption, plus
rate-limit/injection-pattern/source-distribution checks (`anomaly.rs`).
Alerts never block a save — drain them with `HDF5Memory::take_anomaly_alerts`.
`MemorySource` for this bookkeeping is inferred from the caller-supplied
`source_channel` string (a heuristic, not an authenticated trust boundary).
- WAL (write-ahead log) for crash-safe persistence, with a CRC32 trailer per entry so a corrupted entry stops replay cleanly instead of loading bad data
- GPU-accelerated batch I/O for large dataset processing
- Python and Node.js bindings for cross-language use
- NetCDF-4 compatibility for scientific data interop
+2 -2
View File
@@ -21,10 +21,10 @@ members = [
resolver = "2"
[workspace.package]
version = "2.3.0"
version = "2.1.0"
edition = "2024"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
[workspace.dependencies]
tempfile = "3"
+2 -2
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-accel"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "SIMD-accelerated operations for rustyhdf5"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "simd", "acceleration", "performance"]
categories = ["science", "algorithms"]
+1 -5
View File
@@ -111,11 +111,7 @@ pub unsafe fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 {
}
let denom = (norm_a * norm_b).sqrt();
if denom < f32::EPSILON {
0.0
} else {
dot / denom
}
if denom == 0.0 { 0.0 } else { dot / denom }
}
}
+1 -5
View File
@@ -89,11 +89,7 @@ pub unsafe fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 {
}
let denom = (norm_a * norm_b).sqrt();
if denom < f32::EPSILON {
0.0
} else {
dot / denom
}
if denom == 0.0 { 0.0 } else { dot / denom }
}
}
-12
View File
@@ -361,18 +361,6 @@ mod tests {
assert!(approx_eq(cosine_similarity(&a, &b), 0.0, EPSILON));
}
#[test]
fn test_cosine_near_zero_norm_clamped() {
// denom = 1e-4 * 1e-4 = 1e-8, comfortably below f32::EPSILON
// (~1.19e-7) but not exactly 0.0 — must still clamp to 0.0 so
// callers computing `1.0 - cosine_similarity(...)` treat these
// as maximally dissimilar, matching the pre-SIMD scalar guard.
let a = [1e-4f32];
let b = [1e-4f32];
assert_eq!(cosine_similarity(&a, &b), 0.0);
assert_eq!(scalar::cosine_similarity(&a, &b), 0.0);
}
#[test]
fn test_cosine_scalar_vs_dispatch() {
let a: Vec<f32> = (0..384).map(|i| (i as f32).sin()).collect();
+1 -5
View File
@@ -94,11 +94,7 @@ pub unsafe fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 {
}
let denom = (norm_a * norm_b).sqrt();
if denom < f32::EPSILON {
0.0
} else {
dot / denom
}
if denom == 0.0 { 0.0 } else { dot / denom }
}
/// NEON L2 distance.
+1 -5
View File
@@ -21,11 +21,7 @@ pub fn cosine_similarity(a: &[f32], b: &[f32]) -> f32 {
norm_b += y * y;
}
let denom = (norm_a * norm_b).sqrt();
if denom < f32::EPSILON {
0.0
} else {
dot / denom
}
if denom == 0.0 { 0.0 } else { dot / denom }
}
pub fn batch_cosine(query: &[f32], vectors: &[&[f32]], results: &mut [(usize, f32)]) {
+8 -11
View File
@@ -1,21 +1,21 @@
[package]
name = "clawhdf5-agent"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "HDF5-backed persistent memory store for on-device AI agents"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["agent", "memory", "hdf5", "vector-search", "embedding"]
categories = ["database", "science", "algorithms"]
[dependencies]
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0", features = ["parallel", "fast-checksum"] }
clawhdf5 = { path = "../clawhdf5", version = "2.3.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.3.0", features = ["mmap"] }
clawhdf5-accel = { path = "../clawhdf5-accel", version = "2.3.0" }
clawhdf5-ann = { path = "../clawhdf5-ann", version = "2.3.0", optional = true }
clawhdf5-gpu = { path = "../clawhdf5-gpu", version = "2.3.0", optional = true, default-features = false }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0", features = ["parallel", "fast-checksum"] }
clawhdf5 = { path = "../clawhdf5", version = "2.1.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.1.0", features = ["mmap"] }
clawhdf5-accel = { path = "../clawhdf5-accel", version = "2.1.0" }
clawhdf5-ann = { path = "../clawhdf5-ann", version = "2.1.0", optional = true }
clawhdf5-gpu = { path = "../clawhdf5-gpu", version = "2.1.0", optional = true, default-features = false }
serde = { workspace = true }
byteorder = "1"
half = { workspace = true, optional = true }
@@ -48,9 +48,6 @@ harness = false
default = ["float16", "hnsw"]
float16 = ["half"]
parallel = ["rayon"]
# Compress embeddings with Zstd instead of deflate when
# `MemoryConfig::compression` is on. Off by default: it links libzstd (C).
zstd = ["clawhdf5/zstd"]
# HNSW approximate-nearest-neighbour acceleration for the vector stage of
# hybrid_search. On by default; the index is rebuilt from the cache on demand
# and stays self-consistent with the persisted memory store. Disable with
+3 -16
View File
@@ -483,7 +483,7 @@ fn rayon_benches(c: &mut Criterion) {
use rayon::prelude::*;
let query_norm = vector_search::compute_norm(&query);
let num_cores = rayon::current_num_threads().max(1);
let chunk_size = n.div_ceil(num_cores);
let chunk_size = (n + num_cores - 1) / num_cores;
let mut results: Vec<(usize, f32)> = vectors
.par_chunks(chunk_size)
.enumerate()
@@ -537,7 +537,7 @@ fn rayon_benches(c: &mut Criterion) {
use rayon::prelude::*;
let query_norm = vector_search::compute_norm(&query);
let num_cores = rayon::current_num_threads().max(1);
let chunk_size = n.div_ceil(num_cores);
let chunk_size = (n + num_cores - 1) / num_cores;
let mut results: Vec<(usize, f32)> = vectors
.par_chunks(chunk_size)
.enumerate()
@@ -766,22 +766,12 @@ fn adaptive_benches(c: &mut Criterion) {
.map(|v| vector_search::compute_norm(v))
.collect();
let tombstones = vec![0u8; n];
let flat: Vec<f32> = vectors.iter().flatten().copied().collect();
c.bench_function("adaptive_search_10k", |b| {
let hw = HardwareCapabilities::detect();
let strat = strategy::auto_select_strategy(n, &hw);
b.iter(|| {
strategy::search_with_metrics(
&query,
&vectors,
&flat,
&norms,
&tombstones,
10,
strat,
None,
)
strategy::search_with_metrics(&query, &vectors, &norms, &tombstones, 10, strat, None)
});
});
@@ -791,7 +781,6 @@ fn adaptive_benches(c: &mut Criterion) {
strategy::search_with_metrics(
&query,
&vectors,
&flat,
&norms,
&tombstones,
10,
@@ -806,7 +795,6 @@ fn adaptive_benches(c: &mut Criterion) {
strategy::search_with_metrics(
&query,
&vectors,
&flat,
&norms,
&tombstones,
10,
@@ -821,7 +809,6 @@ fn adaptive_benches(c: &mut Criterion) {
strategy::search_with_metrics(
&query,
&vectors,
&flat,
&norms,
&tombstones,
10,
+6 -19
View File
@@ -1,7 +1,6 @@
use clawhdf5_agent::bm25::BM25Index;
use clawhdf5_agent::consolidation::{
ConsolidationConfig, ConsolidationEngine, ImportanceScorer, ImportanceWeights, MemorySource,
UntrustedSource,
};
use clawhdf5_agent::hybrid::{hybrid_search, rrf_hybrid_search};
use clawhdf5_agent::knowledge::KnowledgeCache;
@@ -286,12 +285,7 @@ fn consolidation_benches(c: &mut Criterion) {
for i in 0..n {
let embedding = make_vec(&mut rng, DIM);
let chunk = format!("memory record {i} with some content");
engine.add_memory(
chunk,
embedding,
UntrustedSource::User,
now + i as f64,
);
engine.add_memory(chunk, embedding, MemorySource::User, now + i as f64);
}
engine
},
@@ -313,10 +307,9 @@ fn consolidation_benches(c: &mut Criterion) {
for i in 0..50usize {
let embedding = make_vec(&mut rng, DIM);
let chunk = format!("existing record {i}");
engine.add_memory(chunk, embedding, UntrustedSource::User, now + i as f64);
engine.add_memory(chunk, embedding, MemorySource::User, now + i as f64);
}
let records = engine.records().to_vec();
let record_refs: Vec<&_> = records.iter().collect();
let weights = ImportanceWeights::default();
let query_embedding = make_vec(&mut rng, DIM);
let sample_text =
@@ -324,7 +317,7 @@ fn consolidation_benches(c: &mut Criterion) {
group.bench_function("bench_importance_scoring", |b| {
b.iter(|| {
let surprise = ImportanceScorer::score_surprise(&query_embedding, &record_refs);
let surprise = ImportanceScorer::score_surprise(&query_embedding, &records);
let correction = ImportanceScorer::score_correction(&MemorySource::Correction);
let length = ImportanceScorer::score_length(sample_text);
ImportanceScorer::score_combined(surprise, correction, length, &weights)
@@ -361,7 +354,7 @@ fn temporal_benches(c: &mut Criterion) {
// Insert benchmark: measure time to insert 10k timestamps one by one
group.bench_function("bench_temporal_insert_10k", |b| {
b.iter_batched(
TemporalIndex::new,
|| TemporalIndex::new(),
|mut idx| {
for i in 0..N {
// Shuffle insertion order slightly using a simple offset pattern
@@ -449,8 +442,7 @@ fn large_consolidation_benches(c: &mut Criterion) {
let mut group = c.benchmark_group("consolidation_large");
group.sample_size(10);
{
let (label, n) = ("10k", 10_000usize);
for (label, n) in [("10k", 10_000usize)] {
group.bench_with_input(
BenchmarkId::new("bench_consolidation_cycle", label),
&n,
@@ -467,12 +459,7 @@ fn large_consolidation_benches(c: &mut Criterion) {
for i in 0..n {
let embedding = make_vec(&mut rng, DIM);
let chunk = format!("memory record {i} with content");
engine.add_memory(
chunk,
embedding,
UntrustedSource::User,
now + i as f64,
);
engine.add_memory(chunk, embedding, MemorySource::User, now + i as f64);
}
engine
},
-3
View File
@@ -1,3 +0,0 @@
target/
artifacts/
coverage/
-23
View File
@@ -1,23 +0,0 @@
[package]
name = "clawhdf5-agent-fuzz"
version = "0.0.0"
publish = false
edition = "2024"
[package.metadata]
cargo-fuzz = true
[dependencies]
libfuzzer-sys = "0.4"
tempfile = "3"
[dependencies.clawhdf5-agent]
path = ".."
[workspace]
members = ["."]
[[bin]]
name = "fuzz_wal_replay"
path = "fuzz_targets/fuzz_wal_replay.rs"
doc = false
@@ -1,36 +0,0 @@
#![no_main]
//! Arbitrary bytes as a WAL file. Reading, and opening for append (which scans
//! the chain and truncates an unverifiable tail), must never panic, hang, or
//! allocate without bound — and after `open` repairs the file, everything
//! `read_entries` returned before must still be returned.
//!
//! The deterministic counterpart that runs in ordinary CI is
//! `tests/wal_properties.rs`; this target explores inputs it cannot reach.
use std::io::Write as _;
use clawhdf5_agent::wal::WalFile;
use libfuzzer_sys::fuzz_target;
fuzz_target!(|data: &[u8]| {
let Ok(mut tmp) = tempfile::NamedTempFile::new() else {
return;
};
if tmp.write_all(data).and_then(|()| tmp.flush()).is_err() {
return;
}
let before = WalFile::read_entries(tmp.path()).map(|e| e.len());
// Only the chained formats (header versions 3 and 4) are repaired in
// place. `open` deliberately recreates a legacy-format file from scratch:
// `HDF5Memory::open` has already replayed its entries by then.
let chained = matches!(data.get(4), Some(3 | 4));
let opened = WalFile::open(tmp.path());
if !chained {
return;
}
if let (Ok(before), Ok(wal)) = (before, opened) {
drop(wal);
let after = WalFile::read_entries(tmp.path()).map(|e| e.len());
assert_eq!(after.ok(), Some(before), "open() changed what is replayable");
}
});
+5 -243
View File
@@ -82,68 +82,6 @@ impl Default for AnomalyConfig {
}
}
// ---------------------------------------------------------------------------
// Pattern-match normalization
// ---------------------------------------------------------------------------
/// `true` for characters used to invisibly break up text without being
/// rendered (zero-width joiners/spacers, bidi control marks, the BOM/ZWNBSP,
/// soft hyphen, and the invisible math operators) — a common trick for
/// splitting a flagged word so a literal-substring check misses it while the
/// text still displays normally.
fn is_invisible_format_char(ch: char) -> bool {
matches!(
ch,
'\u{00AD}' // soft hyphen
| '\u{200B}' // zero width space
| '\u{200C}' // zero width non-joiner
| '\u{200D}' // zero width joiner
| '\u{200E}' // left-to-right mark
| '\u{200F}' // right-to-left mark
| '\u{2060}' // word joiner
| '\u{2061}'..='\u{2064}' // invisible times/plus/separator/function application
| '\u{202A}'..='\u{202E}' // bidi embedding/override controls
| '\u{FEFF}' // BOM / zero width no-break space
)
}
/// Normalize text before suspicious-pattern matching so the cheapest evasion
/// tricks — extra whitespace, zero-width characters, or punctuation spliced
/// between letters (e.g. `"s.y.s.t.e.m"`) — don't defeat a literal-substring
/// check. Lowercases, drops invisible-format and control characters, drops
/// punctuation entirely (not just collapses it, so split words rejoin), and
/// collapses whitespace runs to a single space.
///
/// Does not perform Unicode NFKC normalization or confusable/homoglyph
/// folding (see [`WriteAnomalyDetector::check_pattern_anomaly`]).
fn normalize_for_pattern_match(text: &str) -> String {
let mut out = String::with_capacity(text.len());
let mut last_was_space = true; // trims leading whitespace for free
for ch in text.chars() {
if ch.is_control() || is_invisible_format_char(ch) {
continue;
}
if ch.is_whitespace() {
if !last_was_space {
out.push(' ');
last_was_space = true;
}
continue;
}
if ch.is_ascii_punctuation() {
continue;
}
for lower in ch.to_lowercase() {
out.push(lower);
}
last_was_space = false;
}
while out.ends_with(' ') {
out.pop();
}
out
}
// ---------------------------------------------------------------------------
// WriteEvent
// ---------------------------------------------------------------------------
@@ -161,9 +99,6 @@ pub struct WriteEvent {
// WriteAnomalyDetector
// ---------------------------------------------------------------------------
/// Upper bound on distinct session ids the detector tracks at once.
const MAX_TRACKED_SESSIONS: usize = 4096;
/// Tracks write events and raises alerts for suspicious behaviour.
#[derive(Debug)]
pub struct WriteAnomalyDetector {
@@ -192,23 +127,6 @@ impl WriteAnomalyDetector {
if event.timestamp > self.last_timestamp {
self.last_timestamp = event.timestamp;
}
// Bound the per-session map: a long-lived process sees an unbounded
// number of distinct session ids. When it overflows, forget the
// sessions with the fewest writes (they are furthest from the limit
// this map exists to enforce); the current one is re-added below.
if self.session_counts.len() >= MAX_TRACKED_SESSIONS
&& !self.session_counts.contains_key(&event.session_id)
{
let mut counts: Vec<u32> = self.session_counts.values().copied().collect();
let keep_from = counts.len() / 2;
counts.select_nth_unstable(keep_from);
let threshold = counts[keep_from];
self.session_counts.retain(|_, c| *c >= threshold);
if self.session_counts.len() >= MAX_TRACKED_SESSIONS {
// Every session had the same count: drop them all.
self.session_counts.clear();
}
}
*self
.session_counts
.entry(event.session_id.clone())
@@ -228,13 +146,6 @@ impl WriteAnomalyDetector {
/// Returns an alert if the number of writes in the last 60 seconds exceeds
/// `config.max_writes_per_minute`, or if any session has exceeded
/// `config.max_writes_per_session`.
///
/// The 60-second window is a single shared window across all
/// sessions/sources, so when it trips the alert additionally names the
/// top-contributing session and source within that window — a session
/// can never account for more of the window than the aggregate count, so
/// this attributes the same trip to its actual offender rather than
/// reporting only the anonymous aggregate total.
pub fn check_rate_anomaly(&self) -> Option<AnomalyAlert> {
let recent = self.window.len() as u32;
if recent > self.config.max_writes_per_minute {
@@ -245,31 +156,11 @@ impl WriteAnomalyDetector {
} else {
Severity::Medium
};
let mut per_session: std::collections::HashMap<&str, u32> =
std::collections::HashMap::new();
// MemorySource isn't Eq/Hash, so key by its Display string instead.
let mut per_source: std::collections::HashMap<String, u32> =
std::collections::HashMap::new();
for e in &self.window {
*per_session.entry(e.session_id.as_str()).or_insert(0) += 1;
*per_source.entry(e.source.to_string()).or_insert(0) += 1;
}
let top_session = per_session.iter().max_by_key(|&(_, &c)| c);
let top_source = per_source.iter().max_by_key(|&(_, &c)| c);
let attribution = match (top_session, top_source) {
(Some((session, s_count)), Some((source, r_count))) => format!(
"; top contributor: session '{session}' with {s_count} writes, \
source {source} with {r_count} writes"
),
_ => String::new(),
};
return Some(AnomalyAlert {
severity,
message: format!(
"Rate limit exceeded: {} writes in last 60s (max {}){}",
recent, self.config.max_writes_per_minute, attribution
"Rate limit exceeded: {} writes in last 60s (max {})",
recent, self.config.max_writes_per_minute
),
timestamp: self.last_timestamp,
});
@@ -297,24 +188,11 @@ impl WriteAnomalyDetector {
// -----------------------------------------------------------------------
/// Returns an alert if `chunk` contains any of the configured suspicious
/// patterns, after normalizing both sides to defeat the cheapest evasion
/// tricks (case, extra whitespace, punctuation between letters,
/// zero-width/invisible-formatting characters).
///
/// This does not perform Unicode NFKC normalization or confusable/
/// homoglyph folding (e.g. Cyrillic 'а' standing in for Latin 'a') —
/// that needs a per-codepoint confusable table (Unicode's
/// `confusables.txt`) beyond what's practical to hand-roll correctly,
/// and no such crate is a dependency of this crate today. A determined
/// attacker using homoglyphs can still evade these patterns.
/// patterns (case-insensitive).
pub fn check_pattern_anomaly(&self, chunk: &str) -> Option<AnomalyAlert> {
let normalized = normalize_for_pattern_match(chunk);
let lower = chunk.to_lowercase();
for pattern in &self.config.suspicious_patterns {
let normalized_pattern = normalize_for_pattern_match(pattern);
if normalized_pattern.is_empty() {
continue;
}
if normalized.contains(&normalized_pattern) {
if lower.contains(pattern.as_str()) {
let severity = if pattern.contains("ignore") || pattern.contains("override") {
Severity::Critical
} else if pattern.contains("system") || pattern.contains("jailbreak") {
@@ -449,57 +327,6 @@ mod tests {
assert!(alert.unwrap().severity >= Severity::Medium);
}
/// A single session dominating the shared 60s window must be named in
/// the alert, not just the anonymous aggregate count — this is the case
/// the separate cumulative max_writes_per_session check doesn't cover
/// (the window can trip before the session's lifetime total does).
#[test]
fn rate_anomaly_names_offending_session() {
let mut det = WriteAnomalyDetector::new(cfg());
for i in 0..11 {
det.record_write(event(
1.0 + i as f64 * 0.1,
"flood-session",
MemorySource::User,
));
}
let alert = det.check_rate_anomaly().unwrap();
assert!(
alert.message.contains("flood-session"),
"expected the offending session to be named, got: {}",
alert.message
);
}
/// When many distinct sessions jointly trip the shared window, the top
/// contributor named must actually be the one with the most writes.
#[test]
fn rate_anomaly_attributes_top_contributor_among_many_sessions() {
let mut det = WriteAnomalyDetector::new(cfg());
// 5 sessions with 1 write each (below any per-session limit)...
for i in 0..5 {
det.record_write(event(
1.0 + i as f64 * 0.1,
"minor-session",
MemorySource::User,
));
}
// ...plus one session responsible for the majority of the flood.
for i in 0..8 {
det.record_write(event(
2.0 + i as f64 * 0.1,
"major-session",
MemorySource::User,
));
}
let alert = det.check_rate_anomaly().unwrap();
assert!(
alert.message.contains("major-session"),
"expected the top contributor to be named, got: {}",
alert.message
);
}
#[test]
fn rate_anomaly_critical_3x() {
let mut det = WriteAnomalyDetector::new(cfg());
@@ -568,71 +395,6 @@ mod tests {
assert!(alert.is_some());
}
// --- Pattern-match evasion hardening ---
#[test]
fn pattern_defeats_extra_whitespace() {
let det = WriteAnomalyDetector::new(cfg());
let alert = det.check_pattern_anomaly("please ignore previous instructions");
assert!(alert.is_some(), "extra whitespace must not defeat matching");
}
#[test]
fn pattern_defeats_punctuation_splicing() {
let det = WriteAnomalyDetector::new(cfg());
let alert = det.check_pattern_anomaly("i.g.n.o.r.e p-r-e-v-i-o-u-s instructions");
assert!(
alert.is_some(),
"punctuation spliced between letters must not defeat matching"
);
}
#[test]
fn pattern_defeats_zero_width_space() {
let det = WriteAnomalyDetector::new(cfg());
// Zero-width space (U+200B) inserted mid-word.
let chunk = "ign\u{200B}ore previ\u{200B}ous instructions";
let alert = det.check_pattern_anomaly(chunk);
assert!(
alert.is_some(),
"zero-width space injection must not defeat matching"
);
}
#[test]
fn pattern_defeats_zero_width_joiner_and_bom() {
let det = WriteAnomalyDetector::new(cfg());
let chunk = "jail\u{200D}break\u{FEFF} attempt";
let alert = det.check_pattern_anomaly(chunk);
assert!(
alert.is_some(),
"ZWJ/BOM injection must not defeat matching"
);
}
#[test]
fn pattern_still_clean_after_normalization() {
let det = WriteAnomalyDetector::new(cfg());
// Normalization must not introduce false positives on ordinary text
// that merely contains punctuation and extra whitespace.
let alert =
det.check_pattern_anomaly("Well, I think... the weather is nice today, right?");
assert!(alert.is_none());
}
#[test]
fn normalize_for_pattern_match_examples() {
assert_eq!(
normalize_for_pattern_match("i.g.n.o.r.e p-r-e-v-i-o-u-s"),
"ignore previous"
);
assert_eq!(
normalize_for_pattern_match("ign\u{200B}ore previous"),
"ignore previous"
);
assert_eq!(normalize_for_pattern_match("SYSTEM:"), "system");
}
#[test]
fn pattern_jailbreak() {
let det = WriteAnomalyDetector::new(cfg());
@@ -408,10 +408,6 @@ impl AsyncHDF5Memory {
let (tx, rx) = oneshot::channel();
let _ = self.write_tx.send(WriteCmd::Shutdown(tx)).await;
let _ = rx.await;
// The writer task has stopped, so nothing can write through this
// handle any more: release the single-writer lock now rather than at
// drop, so the store can be reopened while `self` is still in scope.
self.inner.lock().await.release_store_lock();
Ok(())
}
}
+20 -36
View File
@@ -8,28 +8,7 @@
//! - Sorted posting lists by doc_id for cache-friendly access
//! - Block-Max WAND early termination
use std::cmp::Reverse;
use std::collections::{BinaryHeap, HashMap};
/// `f32` wrapper providing a total order (via `total_cmp`) so BM25 scores can
/// be kept in a `BinaryHeap`. Scores are always finite in practice (no NaN
/// inputs reach this path), so `total_cmp`'s NaN ordering is never exercised.
#[derive(Debug, Clone, Copy, PartialEq)]
struct HeapScore(f32);
impl Eq for HeapScore {}
impl PartialOrd for HeapScore {
fn partial_cmp(&self, other: &Self) -> Option<std::cmp::Ordering> {
Some(self.cmp(other))
}
}
impl Ord for HeapScore {
fn cmp(&self, other: &Self) -> std::cmp::Ordering {
self.0.total_cmp(&other.0)
}
}
use std::collections::HashMap;
/// Default BM25 term-frequency saturation parameter.
const DEFAULT_K1: f32 = 1.2;
@@ -118,11 +97,9 @@ impl BM25Index {
let total_max_contribution: f32 = max_tf_score.iter().sum();
// Threshold for WAND early termination. `top_k_heap` is a min-heap of
// size k (worst-of-the-top-k at the head) so it can be maintained in
// O(log k) per update instead of re-sorting the whole buffer.
// Threshold for WAND early termination
let mut threshold = 0.0f32;
let mut top_k_heap: BinaryHeap<Reverse<HeapScore>> = BinaryHeap::with_capacity(k);
let mut top_k_scores: Vec<f32> = Vec::with_capacity(k);
for (term_idx, (_, idf, postings)) in query_terms.iter().enumerate() {
for &(doc_id, freq) in *postings {
@@ -141,17 +118,24 @@ impl BM25Index {
if term_idx == query_terms.len() - 1 {
// Last term: check if this doc beats threshold
let final_score = *entry;
if top_k_heap.len() >= k {
if final_score > threshold {
// Replace the current worst-of-top-k.
top_k_heap.pop();
top_k_heap.push(Reverse(HeapScore(final_score)));
threshold = top_k_heap.peek().map(|Reverse(s)| s.0).unwrap_or(0.0);
if final_score > threshold && top_k_scores.len() >= k {
// Update threshold
top_k_scores
.sort_by(|a, b| b.partial_cmp(a).unwrap_or(std::cmp::Ordering::Equal));
if final_score > top_k_scores[k - 1] {
top_k_scores[k - 1] = final_score;
top_k_scores.sort_by(|a, b| {
b.partial_cmp(a).unwrap_or(std::cmp::Ordering::Equal)
});
threshold = top_k_scores[k - 1];
}
} else {
top_k_heap.push(Reverse(HeapScore(final_score)));
if top_k_heap.len() == k {
threshold = top_k_heap.peek().map(|Reverse(s)| s.0).unwrap_or(0.0);
} else if top_k_scores.len() < k {
top_k_scores.push(final_score);
if top_k_scores.len() == k {
top_k_scores.sort_by(|a, b| {
b.partial_cmp(a).unwrap_or(std::cmp::Ordering::Equal)
});
threshold = top_k_scores[k - 1];
}
}
}
+5 -145
View File
@@ -7,11 +7,6 @@ use crate::vector_search;
pub struct MemoryCache {
pub chunks: Vec<String>,
pub embeddings: Vec<Vec<f32>>,
/// `embeddings` flattened into one contiguous `[N × embedding_dim]`
/// buffer, maintained incrementally alongside `embeddings` (push/update/
/// compact) so BLAS/Accelerate batch search can read it directly instead
/// of re-flattening the whole corpus on every query.
pub embeddings_flat: Vec<f32>,
pub source_channels: Vec<String>,
pub timestamps: Vec<f64>,
pub session_ids: Vec<String>,
@@ -29,7 +24,6 @@ impl MemoryCache {
Self {
chunks: Vec::new(),
embeddings: Vec::new(),
embeddings_flat: Vec::new(),
source_channels: Vec::new(),
timestamps: Vec::new(),
session_ids: Vec::new(),
@@ -41,17 +35,6 @@ impl MemoryCache {
}
}
/// Rebuild `embeddings_flat` from `embeddings` from scratch. Callers that
/// populate `embeddings` directly (bulk loads) must call this afterward.
pub fn rebuild_flat(&mut self) {
self.embeddings_flat.clear();
self.embeddings_flat
.reserve(self.embeddings.len() * self.embedding_dim);
for emb in &self.embeddings {
self.embeddings_flat.extend_from_slice(emb);
}
}
/// Total number of entries (including tombstoned).
pub fn len(&self) -> usize {
self.chunks.len()
@@ -79,7 +62,6 @@ impl MemoryCache {
let idx = self.chunks.len();
let norm = vector_search::compute_norm(&embedding);
self.chunks.push(chunk);
self.embeddings_flat.extend_from_slice(&embedding);
self.embeddings.push(embedding);
self.source_channels.push(source_channel);
self.timestamps.push(timestamp);
@@ -118,20 +100,7 @@ impl MemoryCache {
if idx < self.chunks.len() {
let norm = vector_search::compute_norm(&embedding);
self.chunks[idx] = chunk;
let dim = self.embedding_dim;
let flat_start = idx * dim;
let matches_dim =
embedding.len() == dim && flat_start + dim <= self.embeddings_flat.len();
self.embeddings[idx] = embedding;
if matches_dim {
self.embeddings_flat[flat_start..flat_start + dim]
.copy_from_slice(&self.embeddings[idx]);
} else {
// Embedding length doesn't match embedding_dim (shouldn't
// happen in practice) — fall back to a full rebuild rather
// than leave embeddings_flat misaligned with embeddings.
self.rebuild_flat();
}
self.source_channels[idx] = source_channel;
self.timestamps[idx] = timestamp;
self.session_ids[idx] = session_id;
@@ -204,125 +173,16 @@ impl MemoryCache {
self.tombstones = new_tombstones;
self.norms = new_norms;
self.activation_weights = new_activation_weights;
self.rebuild_flat();
(removed, index_map)
}
/// Flatten all embeddings into a single Vec<f32> for HDF5 storage.
/// `embeddings_flat` is already maintained incrementally, so this just
/// clones it — kept as a method for callers that want an owned copy.
pub fn flat_embeddings(&self) -> Vec<f32> {
self.embeddings_flat.clone()
}
}
#[cfg(test)]
mod tests {
use super::*;
/// `embeddings_flat` must always equal a from-scratch flatten of `embeddings`.
fn assert_flat_in_sync(cache: &MemoryCache) {
let expected: Vec<f32> = cache.embeddings.iter().flatten().copied().collect();
assert_eq!(cache.embeddings_flat, expected);
}
#[test]
fn push_keeps_flat_buffer_in_sync() {
let mut cache = MemoryCache::new(3);
cache.push(
"a".into(),
vec![1.0, 2.0, 3.0],
"chan".into(),
0.0,
"s1".into(),
String::new(),
);
cache.push(
"b".into(),
vec![4.0, 5.0, 6.0],
"chan".into(),
1.0,
"s1".into(),
String::new(),
);
assert_flat_in_sync(&cache);
assert_eq!(cache.embeddings_flat, vec![1.0, 2.0, 3.0, 4.0, 5.0, 6.0]);
}
#[test]
fn update_keeps_flat_buffer_in_sync() {
let mut cache = MemoryCache::new(3);
cache.push(
"a".into(),
vec![1.0, 2.0, 3.0],
"chan".into(),
0.0,
"s1".into(),
String::new(),
);
cache.push(
"b".into(),
vec![4.0, 5.0, 6.0],
"chan".into(),
1.0,
"s1".into(),
String::new(),
);
cache.update(
0,
"a2".into(),
vec![7.0, 8.0, 9.0],
"chan".into(),
2.0,
"s1".into(),
);
assert_flat_in_sync(&cache);
assert_eq!(
cache.embeddings_flat,
vec![7.0, 8.0, 9.0, 4.0, 5.0, 6.0],
"update must overwrite the correct flat slice, not just append"
);
}
#[test]
fn compact_keeps_flat_buffer_in_sync() {
let mut cache = MemoryCache::new(2);
cache.push(
"a".into(),
vec![1.0, 1.0],
"chan".into(),
0.0,
"s1".into(),
String::new(),
);
cache.push(
"b".into(),
vec![2.0, 2.0],
"chan".into(),
1.0,
"s1".into(),
String::new(),
);
cache.push(
"c".into(),
vec![3.0, 3.0],
"chan".into(),
2.0,
"s1".into(),
String::new(),
);
cache.mark_deleted(1);
cache.compact();
assert_flat_in_sync(&cache);
assert_eq!(cache.embeddings_flat, vec![1.0, 1.0, 3.0, 3.0]);
}
#[test]
fn rebuild_flat_matches_manual_flatten() {
let mut cache = MemoryCache::new(2);
cache.embeddings = vec![vec![1.0, 2.0], vec![3.0, 4.0]];
cache.rebuild_flat();
assert_eq!(cache.embeddings_flat, vec![1.0, 2.0, 3.0, 4.0]);
let mut flat = Vec::with_capacity(self.embeddings.len() * self.embedding_dim);
for emb in &self.embeddings {
flat.extend_from_slice(emb);
}
flat
}
}
+31 -148
View File
@@ -16,55 +16,6 @@ pub enum MemorySource {
Correction,
}
/// Source classification for content whose true origin is *not*
/// independently verified by the caller of [`ConsolidationEngine::add_memory`]
/// — arbitrary text forwarded from a user, a tool's output, or a retrieval
/// pipeline. This is the only source set `add_memory` accepts; it cannot
/// claim the `System`/`Correction` importance boost (see [`TrustedSource`]
/// and [`ConsolidationEngine::add_trusted_memory`]) — a caller passing
/// through untrusted content has no way to self-report an elevated trust
/// level through this entry point.
#[derive(Clone, Debug, PartialEq)]
pub enum UntrustedSource {
User,
Tool,
Retrieval,
}
impl From<UntrustedSource> for MemorySource {
fn from(s: UntrustedSource) -> Self {
match s {
UntrustedSource::User => MemorySource::User,
UntrustedSource::Tool => MemorySource::Tool,
UntrustedSource::Retrieval => MemorySource::Retrieval,
}
}
}
/// Source classification for content whose elevated trust level has been
/// independently verified by the caller — e.g. the library's own
/// system-generated text, or a caller that ran its own correction-cue
/// detection (as `memory_strategy::SaveOnUserCorrection` does) rather than
/// forwarding a caller-supplied label verbatim. `MemorySource::System`/
/// `Correction` get elevated importance weighting in
/// [`ImportanceScorer::score_correction`]; only reachable through
/// [`ConsolidationEngine::add_trusted_memory`], a distinct entry point from
/// the one untrusted content is passed through.
#[derive(Clone, Debug, PartialEq)]
pub enum TrustedSource {
System,
Correction,
}
impl From<TrustedSource> for MemorySource {
fn from(s: TrustedSource) -> Self {
match s {
TrustedSource::System => MemorySource::System,
TrustedSource::Correction => MemorySource::Correction,
}
}
}
#[derive(Clone, Debug, PartialEq)]
pub enum MemoryTier {
Working,
@@ -167,7 +118,7 @@ impl ImportanceScorer {
/// Novelty score: 1.0 max cosine similarity against all existing records.
/// Returns 1.0 when there are no existing memories.
pub fn score_surprise(embedding: &[f32], existing_memories: &[&MemoryRecord]) -> f32 {
pub fn score_surprise(embedding: &[f32], existing_memories: &[MemoryRecord]) -> f32 {
if existing_memories.is_empty() {
return 1.0;
}
@@ -248,51 +199,21 @@ impl ConsolidationEngine {
}
}
/// Add a new memory to the Working tier from an untrusted/ordinary origin
/// (User, Tool, or Retrieval). This is the entry point for arbitrary
/// caller-supplied content — it cannot claim the elevated System/
/// Correction importance boost. Use [`Self::add_trusted_memory`] for
/// content whose elevated trust level the caller has independently
/// verified.
/// Add a new memory to the Working tier.
///
/// Importance is scored against existing Working-tier records only.
pub fn add_memory(
&mut self,
chunk: String,
embedding: Vec<f32>,
source: UntrustedSource,
now: f64,
) -> u64 {
self.add_memory_with_source(chunk, embedding, source.into(), now)
}
/// Add a new memory tagged System or Correction, which get elevated
/// importance weighting in [`ImportanceScorer::score_correction`]. Only
/// call this from code that has independently verified the origin (the
/// library's own system-generated text, or a caller that ran its own
/// correction-cue detection) — never from a path that forwards a
/// caller-supplied trust label verbatim.
pub fn add_trusted_memory(
&mut self,
chunk: String,
embedding: Vec<f32>,
source: TrustedSource,
now: f64,
) -> u64 {
self.add_memory_with_source(chunk, embedding, source.into(), now)
}
fn add_memory_with_source(
&mut self,
chunk: String,
embedding: Vec<f32>,
source: MemorySource,
now: f64,
) -> u64 {
let working: Vec<&MemoryRecord> = self
let working: Vec<MemoryRecord> = self
.records
.iter()
.filter(|r| r.tier == MemoryTier::Working)
.cloned()
.collect();
let surprise = ImportanceScorer::score_surprise(&embedding, &working);
@@ -360,7 +281,7 @@ impl ConsolidationEngine {
if working_count > capacity {
let evict_n = working_count - capacity;
// Collect the ids of the records to evict (lowest decay = first in sorted list).
let evict_ids: std::collections::HashSet<u64> = working_indices[..evict_n]
let evict_ids: Vec<u64> = working_indices[..evict_n]
.iter()
.map(|&i| self.records[i].id)
.collect();
@@ -421,7 +342,7 @@ impl ConsolidationEngine {
});
let evict_n = episodic_count - episodic_capacity;
let evict_ids: std::collections::HashSet<u64> = episodic_indices[..evict_n]
let evict_ids: Vec<u64> = episodic_indices[..evict_n]
.iter()
.map(|&i| self.records[i].id)
.collect();
@@ -498,44 +419,13 @@ mod tests {
// ---------------------------------------------------------------------------
// 2. Add memory — basic
// ---------------------------------------------------------------------------
/// add_trusted_memory(TrustedSource::Correction) must actually produce a
/// MemorySource::Correction record — the only way to reach that elevated
/// classification, since add_memory's UntrustedSource has no such variant.
#[test]
fn test_add_trusted_memory_sets_correction_source() {
let mut engine = ConsolidationEngine::new(ConsolidationConfig::default());
let id = engine.add_trusted_memory(
"verified correction".to_string(),
unit_vec(4, 0),
TrustedSource::Correction,
0.0,
);
let rec = engine.get_by_id(id).unwrap();
assert_eq!(rec.source, MemorySource::Correction);
}
/// add_trusted_memory(TrustedSource::System) must produce a
/// MemorySource::System record.
#[test]
fn test_add_trusted_memory_sets_system_source() {
let mut engine = ConsolidationEngine::new(ConsolidationConfig::default());
let id = engine.add_trusted_memory(
"bootstrap text".to_string(),
unit_vec(4, 0),
TrustedSource::System,
0.0,
);
let rec = engine.get_by_id(id).unwrap();
assert_eq!(rec.source, MemorySource::System);
}
#[test]
fn test_add_memory_basic() {
let mut engine = ConsolidationEngine::new(ConsolidationConfig::default());
let id = engine.add_memory(
"Hello world".to_string(),
unit_vec(4, 0),
UntrustedSource::User,
MemorySource::User,
1_000_000.0,
);
assert_eq!(id, 0);
@@ -563,7 +453,7 @@ mod tests {
#[test]
fn test_importance_scorer_surprise_identical() {
let emb = unit_vec(4, 0);
let existing = [MemoryRecord {
let existing = vec![MemoryRecord {
id: 0,
chunk: "existing".to_string(),
embedding: emb.clone(),
@@ -574,8 +464,7 @@ mod tests {
created_at: 0.0,
source: MemorySource::User,
}];
let existing_refs: Vec<&MemoryRecord> = existing.iter().collect();
let score = ImportanceScorer::score_surprise(&emb, &existing_refs);
let score = ImportanceScorer::score_surprise(&emb, &existing);
assert!(score < 0.01, "expected ~0.0, got {score}");
}
@@ -603,20 +492,23 @@ mod tests {
fn test_importance_scorer_length() {
assert!((ImportanceScorer::score_length("")).abs() < f32::EPSILON);
// 50 words → 0.5
let fifty_words = std::iter::repeat_n("word", 50)
let fifty_words = std::iter::repeat("word")
.take(50)
.collect::<Vec<_>>()
.join(" ");
let s50 = ImportanceScorer::score_length(&fifty_words);
assert!((s50 - 0.5).abs() < 1e-5, "expected 0.5, got {s50}");
// 100 words → 1.0
let hundred_words = std::iter::repeat_n("word", 100)
let hundred_words = std::iter::repeat("word")
.take(100)
.collect::<Vec<_>>()
.join(" ");
assert_eq!(ImportanceScorer::score_length(&hundred_words), 1.0);
// 200 words → still 1.0 (clamped)
let two_hundred = std::iter::repeat_n("word", 200)
let two_hundred = std::iter::repeat("word")
.take(200)
.collect::<Vec<_>>()
.join(" ");
assert_eq!(ImportanceScorer::score_length(&two_hundred), 1.0);
@@ -690,11 +582,9 @@ mod tests {
// ---------------------------------------------------------------------------
#[test]
fn test_consolidate_eviction_working() {
let cfg = ConsolidationConfig {
working_capacity: 3,
working_to_episodic_threshold: 2.0, // never promote in this test
..Default::default()
};
let mut cfg = ConsolidationConfig::default();
cfg.working_capacity = 3;
cfg.working_to_episodic_threshold = 2.0; // never promote in this test
let mut engine = ConsolidationEngine::new(cfg);
// Add 5 records; all have very low importance so none get promoted.
@@ -702,7 +592,7 @@ mod tests {
let id = engine.add_memory(
"x".to_string(),
unit_vec(4, i as usize),
UntrustedSource::User,
MemorySource::User,
i as f64,
);
// Force low importance so promotion threshold is not crossed.
@@ -735,10 +625,10 @@ mod tests {
let cfg = ConsolidationConfig::default();
let mut engine = ConsolidationEngine::new(cfg);
let id = engine.add_trusted_memory(
let id = engine.add_memory(
"important memory".to_string(),
unit_vec(4, 0),
TrustedSource::Correction,
MemorySource::Correction,
0.0,
);
// Force importance above threshold.
@@ -771,7 +661,7 @@ mod tests {
let id = engine.add_memory(
"frequently accessed".to_string(),
unit_vec(4, 0),
UntrustedSource::User,
MemorySource::User,
0.0,
);
@@ -799,12 +689,7 @@ mod tests {
#[test]
fn test_access_memory_reactivation() {
let mut engine = ConsolidationEngine::new(ConsolidationConfig::default());
let id = engine.add_memory(
"chunk".to_string(),
unit_vec(4, 0),
UntrustedSource::User,
0.0,
);
let id = engine.add_memory("chunk".to_string(), unit_vec(4, 0), MemorySource::User, 0.0);
engine.access_memory(id, 5000.0);
let rec = engine.get_by_id(id).unwrap();
@@ -825,11 +710,11 @@ mod tests {
let mut engine = ConsolidationEngine::new(ConsolidationConfig::default());
// 2 Working
engine.add_memory("w1".to_string(), unit_vec(4, 0), UntrustedSource::User, 0.0);
engine.add_memory("w2".to_string(), unit_vec(4, 1), UntrustedSource::User, 0.0);
engine.add_memory("w1".to_string(), unit_vec(4, 0), MemorySource::User, 0.0);
engine.add_memory("w2".to_string(), unit_vec(4, 1), MemorySource::User, 0.0);
// 1 Episodic (manually set)
let id_e = engine.add_memory("e1".to_string(), unit_vec(4, 2), UntrustedSource::User, 0.0);
let id_e = engine.add_memory("e1".to_string(), unit_vec(4, 2), MemorySource::User, 0.0);
engine
.records
.iter_mut()
@@ -838,7 +723,7 @@ mod tests {
.tier = MemoryTier::Episodic;
// 1 Semantic (manually set)
let id_s = engine.add_memory("s1".to_string(), unit_vec(4, 3), UntrustedSource::User, 0.0);
let id_s = engine.add_memory("s1".to_string(), unit_vec(4, 3), MemorySource::User, 0.0);
engine
.records
.iter_mut()
@@ -857,11 +742,9 @@ mod tests {
// ---------------------------------------------------------------------------
#[test]
fn test_consolidate_episodic_eviction() {
let cfg = ConsolidationConfig {
episodic_capacity: 3,
working_to_episodic_threshold: 2.0, // never auto-promote from Working
..Default::default()
};
let mut cfg = ConsolidationConfig::default();
cfg.episodic_capacity = 3;
cfg.working_to_episodic_threshold = 2.0; // never auto-promote from Working
let mut engine = ConsolidationEngine::new(cfg);
// Seed 5 records directly in Episodic.
@@ -869,7 +752,7 @@ mod tests {
let id = engine.add_memory(
"episodic chunk".to_string(),
unit_vec(4, i as usize),
UntrustedSource::User,
MemorySource::User,
i as f64,
);
let rec = engine.records.iter_mut().find(|r| r.id == id).unwrap();
+8 -14
View File
@@ -777,10 +777,8 @@ mod tests {
#[test]
fn test_tech_disabled() {
let config = ExtractorConfig {
extract_technology: false,
..Default::default()
};
let mut config = ExtractorConfig::default();
config.extract_technology = false;
let e = EntityExtractor::new(config);
let entities = e.extract("We use Rust and Docker.");
assert!(
@@ -849,10 +847,8 @@ mod tests {
#[test]
fn test_date_disabled() {
let config = ExtractorConfig {
extract_dates: false,
..Default::default()
};
let mut config = ExtractorConfig::default();
config.extract_dates = false;
let e = EntityExtractor::new(config);
let entities = e.extract("Released on 2024-03-19.");
assert!(
@@ -985,10 +981,8 @@ mod tests {
#[test]
fn test_confidence_filter() {
let config = ExtractorConfig {
min_confidence: 0.95,
..Default::default()
};
let mut config = ExtractorConfig::default();
config.min_confidence = 0.95;
let e = EntityExtractor::new(config);
// Only dates (0.95) and techs (0.9) should survive; 0.9 < 0.95 filters techs.
let entities = e.extract("We use Rust since 2024-01-01.");
@@ -1008,7 +1002,7 @@ mod tests {
fn test_batch_dedup() {
let e = default_extractor();
let texts = ["We use Rust.", "Rust is fast.", "Also Rust for safety."];
let entities = e.extract_batch(&texts);
let entities = e.extract_batch(&texts.iter().map(|s| *s).collect::<Vec<_>>());
let rust_count = entities.iter().filter(|x| x.text == "Rust").count();
assert_eq!(rust_count, 1, "Rust should appear exactly once after dedup");
}
@@ -1017,7 +1011,7 @@ mod tests {
fn test_batch_multiple_types() {
let e = default_extractor();
let texts = ["Deploy with Docker.", "We merged last week."];
let entities = e.extract_batch(&texts);
let entities = e.extract_batch(&texts.iter().map(|s| *s).collect::<Vec<_>>());
assert!(
entities
.iter()
+5 -27
View File
@@ -91,22 +91,14 @@ pub fn merge_vector_keyword(
}
let mut results: Vec<(usize, f32)> = merged.into_iter().collect();
// Index tie-break: `merged` is a HashMap, so without it the ties that
// survive `truncate` differ from run to run.
results.sort_by(|a, b| {
b.1.partial_cmp(&a.1)
.unwrap_or(std::cmp::Ordering::Equal)
.then(a.0.cmp(&b.0))
});
results.sort_by(|a, b| b.1.partial_cmp(&a.1).unwrap_or(std::cmp::Ordering::Equal));
results.truncate(k);
results
}
/// Normalize a set of scores to the [0, 1] range using min-max normalization.
///
/// If all scores are identical there is no spread to normalise: each entry
/// gets 1.0 when that score is positive (all equally the best match) and 0.0
/// otherwise (nothing matched).
/// If all scores are identical, returns 0.0 for each entry.
fn normalize_scores(scores: &[(usize, f32)]) -> Vec<(usize, f32)> {
if scores.is_empty() {
return Vec::new();
@@ -120,13 +112,7 @@ fn normalize_scores(scores: &[(usize, f32)]) -> Vec<(usize, f32)> {
let range = max - min;
if range == 0.0 {
// All candidates scored the same (including the single-candidate
// case), so min-max has no spread to work with. They are all equally
// the best match if that score is positive, and all non-matches
// otherwise. This used to return 0.0 unconditionally, which erased a
// lone perfect match from the fused score.
let level = if max > 0.0 { 1.0 } else { 0.0 };
return scores.iter().map(|(idx, _)| (*idx, level)).collect();
return scores.iter().map(|(idx, _)| (*idx, 0.0)).collect();
}
scores
@@ -338,18 +324,10 @@ mod tests {
#[test]
fn normalize_scores_single() {
// A lone positive score is the best match there is, not a non-match.
let result = normalize_scores(&[(0, 5.0)]);
assert_eq!(result.len(), 1);
assert_eq!(result[0].1, 1.0);
}
#[test]
fn normalize_scores_all_equal() {
let matched = normalize_scores(&[(0, 0.4), (1, 0.4)]);
assert!(matched.iter().all(|(_, s)| *s == 1.0));
let unmatched = normalize_scores(&[(0, 0.0), (1, 0.0)]);
assert!(unmatched.iter().all(|(_, s)| *s == 0.0));
// Single score normalizes to 0.0 (range is 0)
assert_eq!(result[0].1, 0.0);
}
#[test]
+18 -121
View File
@@ -50,9 +50,6 @@ impl RelationType {
pub struct Entity {
pub id: u64,
pub name: String,
/// Lowercased `name`, cached at construction time to avoid re-allocating
/// and re-lowercasing on every entity-resolution scan.
pub name_lower: String,
pub entity_type: String,
/// Index into the memory embeddings array, or -1 if none.
pub embedding_idx: i64,
@@ -72,7 +69,6 @@ impl Default for Entity {
Self {
id: 0,
name: String::new(),
name_lower: String::new(),
entity_type: String::new(),
embedding_idx: -1,
properties: HashMap::new(),
@@ -155,55 +151,6 @@ fn levenshtein(a: &str, b: &str) -> usize {
prev[nb]
}
// ---------------------------------------------------------------------------
// AdjacencyIndex
// ---------------------------------------------------------------------------
/// Adjacency index over a snapshot of `entities`/`relations`: an entity-id ->
/// entities-slice-index map, and an entity-id -> relation-indices map (edges
/// touching that entity as either source or target).
///
/// Built fresh per traversal call rather than cached on `KnowledgeCache`:
/// entities/relations are plain `pub` `Vec`s that get pushed to directly
/// (e.g. `schema.rs`'s load path bypasses `add_entity`/`add_relation`), so a
/// persistent index would need extra bookkeeping to avoid drifting stale. A
/// one-off O(V+E) build per call is still a large win over the O(V·E) (BFS)
/// / O(steps·active·E) (spreading activation) scans it replaces.
struct AdjacencyIndex {
entity_index: HashMap<u64, usize>,
by_entity: HashMap<u64, Vec<usize>>,
}
impl AdjacencyIndex {
fn build(entities: &[Entity], relations: &[Relation]) -> Self {
let mut entity_index = HashMap::with_capacity(entities.len());
for (i, e) in entities.iter().enumerate() {
entity_index.insert(e.id, i);
}
let mut by_entity: HashMap<u64, Vec<usize>> = HashMap::new();
for (i, r) in relations.iter().enumerate() {
by_entity.entry(r.src).or_default().push(i);
if r.tgt != r.src {
by_entity.entry(r.tgt).or_default().push(i);
}
}
Self {
entity_index,
by_entity,
}
}
/// Indices into `relations` of every edge touching `entity_id`.
fn relations_touching(&self, entity_id: u64) -> &[usize] {
self.by_entity
.get(&entity_id)
.map(|v| v.as_slice())
.unwrap_or(&[])
}
}
// ---------------------------------------------------------------------------
// KnowledgeCache
// ---------------------------------------------------------------------------
@@ -251,7 +198,6 @@ impl KnowledgeCache {
self.entities.push(Entity {
id,
name: name.to_owned(),
name_lower: name.to_lowercase(),
entity_type: entity_type.to_owned(),
embedding_idx,
properties: HashMap::new(),
@@ -364,22 +310,16 @@ impl KnowledgeCache {
) -> (u64, bool) {
let lower_name = name.to_lowercase();
// Search for the closest existing entity, short-circuiting on an
// exact match since no closer candidate can exist.
let mut best: Option<(u64, usize)> = None;
for e in &self.entities {
let dist = levenshtein(&lower_name, &e.name_lower);
if dist > max_distance {
continue;
}
if dist == 0 {
best = Some((e.id, dist));
break;
}
if best.is_none_or(|(_, best_dist)| dist < best_dist) {
best = Some((e.id, dist));
}
}
// Search for the closest existing entity.
let best = self
.entities
.iter()
.map(|e| {
let dist = levenshtein(&lower_name, &e.name.to_lowercase());
(e.id, dist)
})
.filter(|&(_, dist)| dist <= max_distance)
.min_by_key(|&(_, dist)| dist);
if let Some((id, _)) = best {
return (id, false);
@@ -397,7 +337,6 @@ impl KnowledgeCache {
/// together with their discovered depth. The seed entity itself is NOT
/// included. Traversal follows both outgoing and incoming relation edges.
pub fn bfs_neighbors(&self, entity_id: u64, max_depth: usize) -> Vec<(Entity, usize)> {
let idx = AdjacencyIndex::build(&self.entities, &self.relations);
let mut visited: HashSet<u64> = HashSet::new();
let mut queue: VecDeque<(u64, usize)> = VecDeque::new();
let mut results: Vec<(Entity, usize)> = Vec::new();
@@ -410,13 +349,11 @@ impl KnowledgeCache {
continue;
}
// Collect neighbour IDs from outgoing and incoming edges touching
// this node only, instead of scanning every relation in the graph.
let neighbours: Vec<u64> = idx
.relations_touching(current_id)
// Collect neighbour IDs from outgoing and incoming edges.
let neighbours: Vec<u64> = self
.relations
.iter()
.filter_map(|&i| {
let r = &self.relations[i];
.filter_map(|r| {
if r.src == current_id {
Some(r.tgt)
} else if r.tgt == current_id {
@@ -429,9 +366,9 @@ impl KnowledgeCache {
for neighbour_id in neighbours {
if visited.insert(neighbour_id)
&& let Some(&entity_idx) = idx.entity_index.get(&neighbour_id)
&& let Some(entity) = self.get_entity(neighbour_id)
{
results.push((self.entities[entity_idx].clone(), depth + 1));
results.push((entity.clone(), depth + 1));
queue.push_back((neighbour_id, depth + 1));
}
}
@@ -502,7 +439,6 @@ impl KnowledgeCache {
min_activation: f32,
max_steps: usize,
) -> Vec<(u64, f32)> {
let idx = AdjacencyIndex::build(&self.entities, &self.relations);
let mut activation: HashMap<u64, f32> = HashMap::new();
// Initialise seeds with activation 1.0.
@@ -525,10 +461,8 @@ impl KnowledgeCache {
let mut any_spread = false;
for (source_id, source_score) in current {
// Spread only to edges touching this node, instead of
// scanning every relation in the graph per active node.
for &rel_idx in idx.relations_touching(source_id) {
let rel = &self.relations[rel_idx];
// Spread to all neighbours via outgoing and incoming edges.
for rel in &self.relations {
let neighbour_id = if rel.src == source_id {
rel.tgt
} else if rel.tgt == source_id {
@@ -921,19 +855,6 @@ mod tests {
assert_eq!(id, orig_id);
}
/// An exact match must win even when a near-match with a smaller Levenshtein
/// distance-to-zero gap was scanned first — the early exit on dist == 0
/// must not skip past a later exact match.
#[test]
fn test_resolve_or_create_exact_match_beats_earlier_fuzzy_candidate() {
let mut cache = KnowledgeCache::new();
cache.add_entity("Alyce", "person", -1); // dist 1 from "Alice"
let exact_id = cache.add_entity("Alice", "person", -1); // dist 0
let (id, created) = cache.resolve_or_create("Alice", "person", -1, 2);
assert!(!created);
assert_eq!(id, exact_id);
}
#[test]
fn test_resolve_or_create_no_match_beyond_threshold() {
let mut cache = KnowledgeCache::new();
@@ -1114,30 +1035,6 @@ mod tests {
assert!(b_score.unwrap() > 0.0);
}
/// A self-loop relation (src == tgt) must be visited exactly once by the
/// adjacency index, matching the pre-index behavior of iterating
/// `self.relations` directly (each relation processed once regardless of
/// how many of its endpoints match the current node).
#[test]
fn test_spreading_activation_self_loop_not_double_counted() {
let mut cache = KnowledgeCache::new();
let a = cache.add_entity("A", "node", -1);
cache.add_relation(a, a, "self", 1.0);
let result = cache.spreading_activation(&[a], 0.5, 0.0001, 1);
let a_score = result
.iter()
.find(|&&(id, _)| id == a)
.map(|&(_, s)| s)
.unwrap();
// Seed activation (1.0) plus exactly one spread contribution
// (1.0 * weight 1.0 * decay 0.5), not two.
assert!(
(a_score - 1.5).abs() < 1e-5,
"expected 1.5 (one self-loop contribution), got {a_score}"
);
}
#[test]
fn test_spreading_activation_decay_reduces_signal() {
let mut cache = KnowledgeCache::new();
File diff suppressed because it is too large Load Diff
+63 -63
View File
@@ -748,69 +748,6 @@ impl MemoryBackend for ClawhdfBackend {
}
}
// ─────────────────────────────────────────────────────────────────────────────
// Ephemeral tier methods on ClawhdfBackend
// ─────────────────────────────────────────────────────────────────────────────
impl ClawhdfBackend {
/// Enable the ephemeral (in-memory only) working memory tier.
pub fn enable_ephemeral(&mut self, config: crate::ephemeral::EphemeralConfig) {
self.memory.enable_ephemeral(config);
}
/// Store a text value in ephemeral memory.
///
/// Returns an error string if the ephemeral tier has not been enabled.
pub fn ephemeral_set(
&mut self,
key: &str,
value: &str,
ttl_secs: Option<f64>,
) -> Result<(), String> {
match self.memory.ephemeral_mut() {
Some(s) => {
s.set_text(key, value, ttl_secs);
Ok(())
}
None => Err("ephemeral tier not enabled".to_string()),
}
}
/// Retrieve a text value from ephemeral memory.
///
/// Returns `None` if the tier is disabled, the key is absent, or the
/// entry has expired.
pub fn ephemeral_get(&mut self, key: &str) -> Option<String> {
self.memory
.ephemeral_mut()?
.get_text(key)
.map(|s| s.to_string())
}
/// Delete a key from ephemeral memory.
///
/// Returns `true` if the key existed and was removed.
pub fn ephemeral_delete(&mut self, key: &str) -> bool {
self.memory.ephemeral_mut().is_some_and(|s| s.delete(key))
}
/// Return a snapshot of ephemeral tier statistics, or `None` if the tier
/// is not enabled.
pub fn ephemeral_stats(&self) -> Option<crate::ephemeral::EphemeralStats> {
self.memory.ephemeral().map(|s| s.stats())
}
/// Promote frequently-accessed ephemeral entries to persistent HDF5 storage.
///
/// Entries with `access_count >= min_access_count` are moved from the
/// ephemeral store into the persistent cache. Returns the count promoted.
pub fn promote_ephemeral(&mut self, min_access_count: u32) -> Result<usize, String> {
self.memory
.promote_ephemeral(min_access_count)
.map_err(|e| e.to_string())
}
}
// ─────────────────────────────────────────────────────────────────────────────
// Tests
// ─────────────────────────────────────────────────────────────────────────────
@@ -1396,3 +1333,66 @@ mod tests {
assert!(out.starts_with("# Title"));
}
}
// ─────────────────────────────────────────────────────────────────────────────
// Ephemeral tier methods on ClawhdfBackend
// ─────────────────────────────────────────────────────────────────────────────
impl ClawhdfBackend {
/// Enable the ephemeral (in-memory only) working memory tier.
pub fn enable_ephemeral(&mut self, config: crate::ephemeral::EphemeralConfig) {
self.memory.enable_ephemeral(config);
}
/// Store a text value in ephemeral memory.
///
/// Returns an error string if the ephemeral tier has not been enabled.
pub fn ephemeral_set(
&mut self,
key: &str,
value: &str,
ttl_secs: Option<f64>,
) -> Result<(), String> {
match self.memory.ephemeral_mut() {
Some(s) => {
s.set_text(key, value, ttl_secs);
Ok(())
}
None => Err("ephemeral tier not enabled".to_string()),
}
}
/// Retrieve a text value from ephemeral memory.
///
/// Returns `None` if the tier is disabled, the key is absent, or the
/// entry has expired.
pub fn ephemeral_get(&mut self, key: &str) -> Option<String> {
self.memory
.ephemeral_mut()?
.get_text(key)
.map(|s| s.to_string())
}
/// Delete a key from ephemeral memory.
///
/// Returns `true` if the key existed and was removed.
pub fn ephemeral_delete(&mut self, key: &str) -> bool {
self.memory.ephemeral_mut().is_some_and(|s| s.delete(key))
}
/// Return a snapshot of ephemeral tier statistics, or `None` if the tier
/// is not enabled.
pub fn ephemeral_stats(&self) -> Option<crate::ephemeral::EphemeralStats> {
self.memory.ephemeral().map(|s| s.stats())
}
/// Promote frequently-accessed ephemeral entries to persistent HDF5 storage.
///
/// Entries with `access_count >= min_access_count` are moved from the
/// ephemeral store into the persistent cache. Returns the count promoted.
pub fn promote_ephemeral(&mut self, min_access_count: u32) -> Result<usize, String> {
self.memory
.promote_ephemeral(min_access_count)
.map_err(|e| e.to_string())
}
}
-17
View File
@@ -105,23 +105,6 @@ impl ProvenanceStore {
self.records.insert(provenance.record_id, provenance);
}
/// Renumber records after the store was compacted. `index_map[old]` is
/// the record's new id, or `None` if it was removed. Without this, every
/// surviving record's hash ends up filed under some other record's id and
/// the next integrity check reports a bogus mismatch.
pub fn remap(&mut self, index_map: &[Option<usize>]) {
let old = std::mem::take(&mut self.records);
for (old_id, mut prov) in old {
let new_id = usize::try_from(old_id)
.ok()
.and_then(|i| index_map.get(i).copied().flatten());
if let Some(new_id) = new_id {
prov.record_id = new_id as u64;
self.records.insert(new_id as u64, prov);
}
}
}
/// Retrieve by record ID.
pub fn get(&self, record_id: u64) -> Option<&MemoryProvenance> {
self.records.get(&record_id)
+28 -263
View File
@@ -12,36 +12,16 @@ use crate::MemoryError;
use crate::cache::MemoryCache;
use crate::knowledge::KnowledgeCache;
use crate::session::SessionCache;
use crate::wal::WalMark;
pub const SCHEMA_VERSION: &str = "1.0";
pub const ZEROCLAW_VERSION: &str = "0.8.0";
/// `/meta` attributes holding the [`WalMark`] of the WAL prefix already folded
/// into this file. Absent on files written before the mark existed, and when
/// the checkpoint was taken with an empty WAL.
const WAL_APPLIED_LEN_ATTR: &str = "wal_applied_len";
const WAL_APPLIED_CRC_ATTR: &str = "wal_applied_crc";
/// Build a complete HDF5 file from the in-memory state.
pub fn build_hdf5_file(
config: &MemoryConfig,
cache: &MemoryCache,
sessions: &SessionCache,
knowledge: &KnowledgeCache,
) -> Result<Vec<u8>, MemoryError> {
build_hdf5_file_with_mark(config, cache, sessions, knowledge, None)
}
/// [`build_hdf5_file`], recording which WAL prefix this state already
/// contains (see [`WalMark`]) so a crash before the WAL is truncated doesn't
/// replay those entries a second time.
pub fn build_hdf5_file_with_mark(
config: &MemoryConfig,
cache: &MemoryCache,
sessions: &SessionCache,
knowledge: &KnowledgeCache,
wal_applied: Option<WalMark>,
) -> Result<Vec<u8>, MemoryError> {
let mut builder = clawhdf5::FileBuilder::new();
@@ -54,35 +34,10 @@ pub fn build_hdf5_file_with_mark(
meta.set_attr("embedding_dim", AttrValue::I64(config.embedding_dim as i64));
meta.set_attr("chunk_size", AttrValue::I64(config.chunk_size as i64));
meta.set_attr("overlap", AttrValue::I64(config.overlap as i64));
// Behavioural settings. These used to live only in memory, so reopening a
// store silently reset them to defaults — e.g. a compressed store was
// rewritten uncompressed by the first checkpoint after a reopen. Loaders
// treat each one as optional so older files keep opening.
meta.set_attr("float16", AttrValue::I64(config.float16.into()));
meta.set_attr("compression", AttrValue::I64(config.compression.into()));
meta.set_attr(
"compression_level",
AttrValue::I64(config.compression_level.into()),
);
meta.set_attr(
"compact_threshold",
AttrValue::F64(config.compact_threshold.into()),
);
meta.set_attr("hebbian_boost", AttrValue::F64(config.hebbian_boost.into()));
meta.set_attr("decay_factor", AttrValue::F64(config.decay_factor.into()));
meta.set_attr("wal_enabled", AttrValue::I64(config.wal_enabled.into()));
meta.set_attr(
"wal_max_entries",
AttrValue::I64(config.wal_max_entries as i64),
);
meta.set_attr(
"edgehdf5_version",
AttrValue::String(ZEROCLAW_VERSION.into()),
);
if let Some(mark) = wal_applied.filter(|m| m.len > 0) {
meta.set_attr(WAL_APPLIED_LEN_ATTR, AttrValue::I64(mark.len as i64));
meta.set_attr(WAL_APPLIED_CRC_ATTR, AttrValue::I64(i64::from(mark.crc)));
}
// Need at least one dataset in the group for it to be a proper group
meta.create_dataset("_marker").with_u8_data(&[1]).compact();
let finished_meta = meta.finish();
@@ -128,33 +83,15 @@ fn build_memory_group(
let rows_per_chunk = (target_chunk_bytes / (d * 4)).max(1).min(n);
ds.with_chunks(&[rows_per_chunk, d]);
// Compression. Shuffle is applied automatically (auto-shuffle
// pre-filter). Zstd is faster than deflate at the same ratio but
// pulls in libzstd, so it is opt-in via the `zstd` feature; the
// default build uses deflate, which is always available. (This
// used to call `with_zstd` unconditionally, so without the
// feature every checkpoint of a compressed store failed with
// "unsupported filter: 32015".) Both are standard HDF5 filters;
// reading a zstd-compressed store needs a zstd-enabled build.
// Compression: Zstd for embeddings — faster than deflate at same ratio.
// Shuffle is applied automatically (auto-shuffle pre-filter).
if config.compression {
#[cfg(feature = "zstd")]
{
let level = if config.compression_level > 0 {
config.compression_level.min(22)
} else {
3 // fast + good ratio for f32 embeddings
};
ds.with_zstd(level);
}
#[cfg(not(feature = "zstd"))]
{
let level = if config.compression_level > 0 {
config.compression_level.min(9)
} else {
4
};
ds.with_deflate(level);
}
let level = if config.compression_level > 0 {
config.compression_level.min(22)
} else {
3 // Zstd level 3: fast + good ratio for f32 embeddings
};
ds.with_zstd(level);
}
}
@@ -372,20 +309,6 @@ fn write_string_dataset(
}
/// Validate an HDF5 file has the correct schema and load all data.
/// Read the checkpoint's [`WalMark`] from `/meta`, if it has one.
pub fn read_wal_mark(file: &clawhdf5::File) -> Option<WalMark> {
let attrs = file.group("meta").ok()?.attrs().ok()?;
let len = match attrs.get(WAL_APPLIED_LEN_ATTR)? {
AttrValue::I64(v) => u64::try_from(*v).ok()?,
_ => return None,
};
let crc = match attrs.get(WAL_APPLIED_CRC_ATTR)? {
AttrValue::I64(v) => u32::try_from(*v).ok()?,
_ => return None,
};
Some(WalMark { len, crc })
}
pub fn validate_and_load(
file: &clawhdf5::File,
) -> Result<(MemoryConfig, MemoryCache, SessionCache, KnowledgeCache), MemoryError> {
@@ -421,19 +344,15 @@ pub fn validate_and_load(
embedding_dim,
chunk_size,
overlap,
float16: optional_bool_attr(&attrs, "float16", false),
compression: optional_bool_attr(&attrs, "compression", false),
compression_level: optional_i64_attr(&attrs, "compression_level")
.and_then(|v| u32::try_from(v).ok())
.unwrap_or(0),
compact_threshold: optional_f32_attr(&attrs, "compact_threshold", 0.3),
hebbian_boost: optional_f32_attr(&attrs, "hebbian_boost", 0.15),
decay_factor: optional_f32_attr(&attrs, "decay_factor", 0.98),
float16: false,
compression: false,
compression_level: 0,
compact_threshold: 0.3,
hebbian_boost: 0.15,
decay_factor: 0.98,
created_at,
wal_enabled: optional_bool_attr(&attrs, "wal_enabled", true),
wal_max_entries: optional_i64_attr(&attrs, "wal_max_entries")
.and_then(|v| usize::try_from(v).ok())
.unwrap_or(500),
wal_enabled: true,
wal_max_entries: 500,
};
// Load /memory group
@@ -472,45 +391,19 @@ fn load_memory_group(
let tags = read_string_dataset_from_group(&group, "tags")?;
let tombstones = read_u8_dataset(&group, "tombstones")?;
// Every per-record dataset must describe exactly `n` records. Without
// this, a truncated or hand-edited file loads "successfully" and then
// panics on the first out-of-bounds index during search/delete.
if embedding_dim == 0 {
return Err(MemoryError::Schema(format!(
"/memory has {n} records but embedding_dim is 0"
)));
}
let expected_flat = n.checked_mul(embedding_dim).ok_or_else(|| {
MemoryError::Schema(format!("/memory size overflow: {n} x {embedding_dim}"))
})?;
let check_len = |name: &str, actual: usize, expected: usize| {
if actual == expected {
Ok(())
} else {
Err(MemoryError::Schema(format!(
"/memory/{name} has {actual} entries, expected {expected} \
({n} records)"
)))
}
};
check_len("embeddings", flat_embeddings.len(), expected_flat)?;
check_len("source_channel", source_channels.len(), n)?;
check_len("timestamps", timestamps.len(), n)?;
check_len("session_ids", session_ids.len(), n)?;
check_len("tags", tags.len(), n)?;
check_len("tombstones", tombstones.len(), n)?;
// Norms are derived data: use the stored ones only if they are present
// and the right length, otherwise recompute from the embeddings.
// Read norms if present, otherwise compute from embeddings
let norms = match read_f32_dataset(&group, "norms") {
Ok(stored) if stored.len() == n => stored,
_ => flat_embeddings
.chunks(embedding_dim)
.map(|chunk| {
let sq_sum: f32 = chunk.iter().map(|x| x * x).sum();
sq_sum.sqrt()
})
.collect(),
Ok(n) if n.len() == n.len() => n,
_ => {
// Compute norms from flat embeddings
flat_embeddings
.chunks(embedding_dim)
.map(|chunk| {
let sq_sum: f32 = chunk.iter().map(|x| x * x).sum();
sq_sum.sqrt()
})
.collect()
}
};
// Unflatten embeddings
@@ -534,7 +427,6 @@ fn load_memory_group(
cache.tombstones = tombstones;
cache.norms = norms;
cache.activation_weights = activation_weights;
cache.rebuild_flat();
Ok(cache)
}
@@ -588,7 +480,6 @@ fn load_knowledge_group(file: &clawhdf5::File) -> Result<KnowledgeCache, MemoryE
cache.entities.push(crate::knowledge::Entity {
id: entity_ids[i] as u64,
name: entity_names[i].clone(),
name_lower: entity_names[i].to_lowercase(),
entity_type: entity_types[i].clone(),
embedding_idx: emb_idxs[i],
..Default::default()
@@ -638,27 +529,6 @@ fn extract_string_attr(
}
}
type MetaAttrs = std::collections::HashMap<String, AttrValue>;
fn optional_i64_attr(attrs: &MetaAttrs, name: &str) -> Option<i64> {
match attrs.get(name) {
Some(AttrValue::I64(v)) => Some(*v),
_ => None,
}
}
fn optional_bool_attr(attrs: &MetaAttrs, name: &str, default: bool) -> bool {
optional_i64_attr(attrs, name).map_or(default, |v| v != 0)
}
/// Finite values only: a NaN threshold/decay would poison every comparison.
fn optional_f32_attr(attrs: &MetaAttrs, name: &str, default: f32) -> f32 {
match attrs.get(name) {
Some(AttrValue::F64(v)) if v.is_finite() => *v as f32,
_ => default,
}
}
fn extract_i64_attr(
attrs: &std::collections::HashMap<String, AttrValue>,
name: &str,
@@ -744,108 +614,3 @@ fn read_u8_dataset(group: &clawhdf5::Group<'_>, name: &str) -> Result<Vec<u8>, M
.map_err(|e| MemoryError::Hdf5(format!("cannot read u8 from {name}: {e}")))?;
Ok(data.into_iter().map(|v| v as u8).collect())
}
#[cfg(test)]
mod tests {
use super::*;
fn config() -> MemoryConfig {
MemoryConfig::new(std::path::PathBuf::from("unused.h5"), "agent", 4)
}
fn cache_with(n: usize) -> MemoryCache {
let mut cache = MemoryCache::new(4);
for i in 0..n {
cache.push(
format!("chunk {i}"),
vec![i as f32 + 1.0, 0.0, 0.0, 0.0],
"user".into(),
i as f64,
"s".into(),
"t".into(),
);
}
cache
}
fn roundtrip(cache: &MemoryCache) -> Result<MemoryCache, MemoryError> {
let bytes = build_hdf5_file(
&config(),
cache,
&SessionCache::new(),
&KnowledgeCache::new(),
)?;
let file =
clawhdf5::File::from_bytes(bytes).map_err(|e| MemoryError::Hdf5(e.to_string()))?;
validate_and_load(&file).map(|(_, cache, _, _)| cache)
}
#[test]
fn behavioural_config_survives_a_reopen() {
let mut cfg = config();
cfg.compression = true;
cfg.compression_level = 7;
cfg.compact_threshold = 0.5;
cfg.hebbian_boost = 0.25;
cfg.decay_factor = 0.9;
cfg.wal_enabled = false;
cfg.wal_max_entries = 42;
let bytes = build_hdf5_file(
&cfg,
&cache_with(2),
&SessionCache::new(),
&KnowledgeCache::new(),
)
.unwrap();
let file = clawhdf5::File::from_bytes(bytes).unwrap();
let (loaded, loaded_cache, ..) = validate_and_load(&file).unwrap();
// The compressed embeddings must also read back intact.
assert_eq!(loaded_cache.embeddings, cache_with(2).embeddings);
assert!(loaded.compression);
assert_eq!(loaded.compression_level, 7);
assert_eq!(loaded.compact_threshold, 0.5);
assert_eq!(loaded.hebbian_boost, 0.25);
assert_eq!(loaded.decay_factor, 0.9);
assert!(!loaded.wal_enabled);
assert_eq!(loaded.wal_max_entries, 42);
}
#[test]
fn consistent_store_loads() {
let loaded = roundtrip(&cache_with(3)).unwrap();
assert_eq!(loaded.chunks.len(), 3);
assert_eq!(loaded.norms, vec![1.0, 2.0, 3.0]);
}
#[test]
fn wrong_length_norms_are_recomputed_not_trusted() {
// Regression: the guard used to be `n.len() == n.len()`, so a norms
// dataset of any length was accepted and corrupted every cosine score.
let mut cache = cache_with(3);
cache.norms = vec![99.0];
let loaded = roundtrip(&cache).unwrap();
assert_eq!(loaded.norms, vec![1.0, 2.0, 3.0]);
}
#[test]
fn mismatched_per_record_datasets_are_schema_errors() {
type Corrupt = fn(&mut MemoryCache);
let cases: [(&str, Corrupt); 5] = [
("tombstones", |c| c.tombstones.truncate(1)),
("timestamps", |c| c.timestamps.truncate(1)),
("tags", |c| c.tags.truncate(1)),
("session_ids", |c| c.session_ids.truncate(1)),
("source_channel", |c| c.source_channels.truncate(1)),
];
for (name, corrupt) in cases {
let mut cache = cache_with(3);
corrupt(&mut cache);
match roundtrip(&cache) {
Err(MemoryError::Schema(msg)) => {
assert!(msg.contains(name), "{name}: unexpected message {msg}")
}
other => panic!("{name}: expected Schema error, got {:?}", other.map(|_| ())),
}
}
}
}
+1 -12
View File
@@ -113,24 +113,13 @@ impl HDF5Memory {
}
})
.collect();
// Ties broken by index so results (and therefore which records get
// boosted) don't depend on HashMap iteration order upstream.
results.sort_by(|a, b| {
b.score
.partial_cmp(&a.score)
.unwrap_or(std::cmp::Ordering::Equal)
.then(a.index.cmp(&b.index))
});
// Only reinforce records that actually matched. When fewer than `k`
// records are relevant, the rest of the list is zero-score filler;
// boosting it would teach the store that arbitrary records are
// important just because they were nearby in iteration order.
let hit_indices: Vec<usize> = results
.iter()
.filter(|r| r.score > 0.0)
.map(|r| r.index)
.collect();
let hit_indices: Vec<usize> = results.iter().map(|r| r.index).collect();
self.apply_hebbian_boost(&hit_indices);
self.flush().ok();
+5 -64
View File
@@ -11,7 +11,6 @@ use crate::cache::MemoryCache;
use crate::knowledge::KnowledgeCache;
use crate::schema;
use crate::session::SessionCache;
use crate::wal::WalMark;
/// Write all in-memory state to an HDF5 file on disk.
pub fn write_to_disk(
@@ -21,20 +20,7 @@ pub fn write_to_disk(
sessions: &SessionCache,
knowledge: &KnowledgeCache,
) -> Result<(), MemoryError> {
write_to_disk_with_mark(path, config, cache, sessions, knowledge, None)
}
/// [`write_to_disk`] for a checkpoint: `wal_applied` is the mark of the WAL
/// prefix whose entries `cache` already contains.
pub fn write_to_disk_with_mark(
path: &Path,
config: &MemoryConfig,
cache: &MemoryCache,
sessions: &SessionCache,
knowledge: &KnowledgeCache,
wal_applied: Option<WalMark>,
) -> Result<(), MemoryError> {
let bytes = schema::build_hdf5_file_with_mark(config, cache, sessions, knowledge, wal_applied)?;
let bytes = schema::build_hdf5_file(config, cache, sessions, knowledge)?;
if bytes.is_empty() {
return Err(MemoryError::Hdf5("build_hdf5_file produced 0 bytes".into()));
@@ -42,41 +28,9 @@ pub fn write_to_disk_with_mark(
// Write to a temp file first, then rename for atomicity
let tmp_path = path.with_extension("h5.tmp");
write_synced(&tmp_path, &bytes)?;
rename_synced(&tmp_path, path)
}
std::fs::write(&tmp_path, &bytes).map_err(MemoryError::Io)?;
std::fs::rename(&tmp_path, path).map_err(MemoryError::Io)?;
/// Write `bytes` to `path` and flush them to stable storage.
fn write_synced(path: &Path, bytes: &[u8]) -> Result<(), MemoryError> {
use std::io::Write;
let mut f = std::fs::File::create(path).map_err(MemoryError::Io)?;
f.write_all(bytes).map_err(MemoryError::Io)?;
f.sync_all().map_err(MemoryError::Io)
}
/// Rename `from` over `to`, then sync the parent directory so the rename
/// itself survives a power loss. `from` must already be synced: without that,
/// the rename can reach disk before the data and leave an empty or partial
/// file under the final name.
///
/// This is per-checkpoint/snapshot cost only (each is already a full file
/// write). Individual WAL appends are deliberately not synced — see the
/// durability notes in the crate docs.
fn rename_synced(from: &Path, to: &Path) -> Result<(), MemoryError> {
std::fs::rename(from, to).map_err(MemoryError::Io)?;
#[cfg(unix)]
if let Some(dir) = to.parent() {
let dir = if dir.as_os_str().is_empty() {
Path::new(".")
} else {
dir
};
// Directory fsync is best-effort: some filesystems refuse it, and the
// rename has already happened.
if let Ok(d) = std::fs::File::open(dir) {
let _ = d.sync_all();
}
}
Ok(())
}
@@ -88,15 +42,6 @@ fn rename_synced(from: &Path, to: &Path) -> Result<(), MemoryError> {
pub fn read_from_disk(
path: &Path,
) -> Result<(MemoryConfig, MemoryCache, SessionCache, KnowledgeCache), MemoryError> {
read_from_disk_with_mark(path).map(|(state, _mark)| state)
}
/// Everything [`read_from_disk`] returns.
pub type StoreState = (MemoryConfig, MemoryCache, SessionCache, KnowledgeCache);
/// [`read_from_disk`], plus the checkpoint's [`WalMark`] (if any) so the
/// caller can skip WAL entries this file already contains.
pub fn read_from_disk_with_mark(path: &Path) -> Result<(StoreState, Option<WalMark>), MemoryError> {
let mmap = clawhdf5_io::MmapReader::open(path).map_err(MemoryError::Io)?;
// Advise the OS we'll need the whole file for parsing
@@ -108,9 +53,8 @@ pub fn read_from_disk_with_mark(path: &Path) -> Result<(StoreState, Option<WalMa
let (mut config, cache, sessions, knowledge) = schema::validate_and_load(&file)?;
config.path = path.to_path_buf();
let wal_applied = schema::read_wal_mark(&file);
Ok(((config, cache, sessions, knowledge), wal_applied))
Ok((config, cache, sessions, knowledge))
}
/// Copy an HDF5 file atomically to a destination.
@@ -134,10 +78,7 @@ pub fn snapshot_file(src: &Path, dest: &Path) -> Result<std::path::PathBuf, Memo
// Atomic copy: write to temp, then rename
let tmp_path = dest_file.with_extension("h5.tmp");
std::fs::copy(src, &tmp_path).map_err(MemoryError::Io)?;
std::fs::File::open(&tmp_path)
.and_then(|f| f.sync_all())
.map_err(MemoryError::Io)?;
rename_synced(&tmp_path, &dest_file)?;
std::fs::rename(&tmp_path, &dest_file).map_err(MemoryError::Io)?;
Ok(dest_file)
}
-79
View File
@@ -1,79 +0,0 @@
//! Single-writer guard for a memory store.
//!
//! `HDF5Memory` keeps the whole store in memory and rewrites the `.h5` file at
//! every checkpoint, so two handles on one store (two processes, or two opens
//! in one process) silently destroy each other's data: whoever checkpoints
//! last wins, and both append to the same WAL with independent CRC chains.
//! The lock turns that into an immediate, explicit error.
use std::fs::{File, OpenOptions, TryLockError};
use std::path::{Path, PathBuf};
use crate::MemoryError;
const LOCK_RETRIES: u32 = 25;
const LOCK_RETRY_DELAY: std::time::Duration = std::time::Duration::from_millis(10);
/// An exclusive advisory lock on `<store>.h5.lock`, held for the lifetime of
/// the owning `HDF5Memory` and released when it is dropped (or when the
/// process dies — the OS drops the lock with the file descriptor, so a crash
/// never leaves a stale lock behind; the empty lock file itself is harmless).
#[derive(Debug)]
pub(crate) struct StoreLock {
_file: File,
}
impl StoreLock {
pub(crate) fn lock_path(store: &Path) -> PathBuf {
store.with_extension("h5.lock")
}
pub(crate) fn acquire(store: &Path) -> Result<Self, MemoryError> {
let path = Self::lock_path(store);
let file = OpenOptions::new()
.create(true)
.truncate(false)
.write(true)
.open(&path)?;
// A previous owner may be mid-teardown (e.g. an `AsyncHDF5Memory`
// dropped without `shutdown()`: its background task releases the
// store a moment later), so give the lock a short, bounded grace
// period before reporting a genuine second writer.
let mut attempts_left = LOCK_RETRIES;
loop {
match file.try_lock() {
Ok(()) => return Ok(Self { _file: file }),
Err(TryLockError::WouldBlock) if attempts_left > 0 => {
attempts_left -= 1;
std::thread::sleep(LOCK_RETRY_DELAY);
}
Err(TryLockError::WouldBlock) => {
return Err(MemoryError::Locked(format!(
"{} is already open in this or another process (lock file {})",
store.display(),
path.display()
)));
}
Err(TryLockError::Error(e)) => return Err(MemoryError::Io(e)),
}
}
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn second_acquire_fails_until_first_is_dropped() {
let dir = tempfile::TempDir::new().unwrap();
let store = dir.path().join("s.h5");
let first = StoreLock::acquire(&store).unwrap();
assert!(matches!(
StoreLock::acquire(&store),
Err(MemoryError::Locked(_))
));
drop(first);
StoreLock::acquire(&store).unwrap();
}
}
+3 -39
View File
@@ -167,17 +167,10 @@ pub fn auto_select_strategy(num_vectors: usize, hw: &HardwareCapabilities) -> Se
/// This dispatches to the appropriate search implementation based on the
/// selected strategy. For IVF-PQ, an index must be provided externally
/// (this function uses brute-force fallback if no IVF-PQ index is available).
///
/// `vectors_flat` is `vectors` flattened into one contiguous `[N × dim]`
/// row-major buffer (e.g. `MemoryCache::embeddings_flat`, maintained
/// incrementally alongside `vectors`). It's only consulted by the
/// `Blas`/`Accelerate` strategies, which otherwise re-flatten the whole
/// corpus on every call — passing the already-flat buffer skips that copy.
#[allow(clippy::too_many_arguments)]
pub fn search_with_metrics(
query: &[f32],
vectors: &[Vec<f32>],
vectors_flat: &[f32],
norms: &[f32],
tombstones: &[u8],
k: usize,
@@ -185,10 +178,6 @@ pub fn search_with_metrics(
#[cfg(feature = "gpu")] gpu_backend: Option<&crate::gpu_search::GpuSearchBackend>,
#[cfg(not(feature = "gpu"))] _gpu_backend: Option<&()>,
) -> (Vec<(usize, f32)>, SearchMetrics) {
// Only read by the Blas/Accelerate arms below, which are themselves
// feature-gated — reference it unconditionally so a build with neither
// feature enabled doesn't warn about an unused parameter.
let _ = vectors_flat;
let start = Instant::now();
let active_count = tombstones.iter().filter(|&&t| t == 0).count();
@@ -208,14 +197,7 @@ pub fn search_with_metrics(
gpu_active = false;
#[cfg(feature = "fast-math")]
{
crate::blas_search::blas_cosine_batch_flat(
query,
vectors_flat,
norms,
tombstones,
query.len(),
k,
)
crate::blas_search::blas_cosine_batch(query, vectors, norms, tombstones, k)
}
#[cfg(not(feature = "fast-math"))]
{
@@ -229,13 +211,8 @@ pub fn search_with_metrics(
gpu_active = false;
#[cfg(any(feature = "accelerate", feature = "openblas"))]
{
crate::accelerate_search::accelerate_cosine_batch(
query,
vectors_flat,
norms,
tombstones,
query.len(),
k,
crate::accelerate_search::accelerate_cosine_batch_vecs(
query, vectors, norms, tombstones, k,
)
}
#[cfg(not(any(feature = "accelerate", feature = "openblas")))]
@@ -348,10 +325,6 @@ mod tests {
(0..n).map(|_| (0..dim).map(|_| next()).collect()).collect()
}
fn flatten(vectors: &[Vec<f32>]) -> Vec<f32> {
vectors.iter().flatten().copied().collect()
}
// --- auto_select_strategy tests ---
#[test]
@@ -517,7 +490,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
5,
@@ -548,7 +520,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
@@ -574,7 +545,6 @@ mod tests {
let (_, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
@@ -600,7 +570,6 @@ mod tests {
let (results, _) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
@@ -634,7 +603,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
100,
@@ -679,7 +647,6 @@ mod tests {
let (_, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
5,
@@ -751,7 +718,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
@@ -778,7 +744,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
@@ -857,7 +822,6 @@ mod tests {
let (results, metrics) = search_with_metrics(
&query,
&vectors,
&flatten(&vectors),
&norms,
&tombstones,
10,
+66 -730
View File
@@ -13,57 +13,16 @@ use crate::MemoryError;
const WAL_MAGIC: [u8; 4] = [0x45, 0x48, 0x57, 0x4C]; // "EHWL"
/// Bytes before the first entry: [`WAL_MAGIC`] (4) + version (1) + entry
/// count (4). Named so the offset arithmetic in `open()` — which decides
/// where an append lands, and therefore whether it is replayable — reads as
/// a header length rather than a bare 9.
const WAL_HEADER_LEN: u64 = WAL_MAGIC.len() as u64 + 1 + 4;
/// Current WAL format version: every entry ends with a 4-byte CRC32 trailer
/// (see [`TeeReader`]) so a bit-flip is detected and replay stops there
/// instead of silently accepting corrupted data.
const WAL_VERSION: u8 = 2;
/// Current WAL format version: every entry's CRC32 trailer is computed over
/// its own bytes *chained with the previous entry's stored CRC*
/// (`crc32(entry_bytes ++ prev_crc.to_le_bytes())`, seeded with 0 for the
/// first entry after a truncation). A per-entry CRC alone only detects a
/// bit-flip within that entry; chaining additionally detects entries being
/// reordered, duplicated, or spliced (e.g. a Tombstone moved before/after
/// its target Save) — the moved/inserted entry's stored CRC was computed
/// against a different predecessor than the one now in front of it on disk,
/// so the chain breaks at that point and replay stops there.
const WAL_VERSION: u8 = 4;
/// The chained-CRC format before [`WalEntryType::Update`] records existed.
/// Byte-for-byte the same framing as [`WAL_VERSION`], so it is read by the
/// same code, and `WalFile::open` upgrades it in place by rewriting the
/// header's version byte (the header is not covered by the CRC chain).
///
/// The bump exists for *older binaries*: they don't know record type 0x04,
/// would treat it as a torn tail, and would truncate it — and everything
/// after it — away. An unknown header version makes them refuse the file
/// with a clear error instead.
const WAL_VERSION_CHAINED_NO_UPDATE: u8 = 3;
/// The previous WAL format version: still a CRC32 per entry (so a bit-flip
/// within one entry is caught), but not chained to the previous entry's CRC
/// (so reordering/splicing whole entries is not detected). Written by
/// versions of this crate before the chaining hardening. Fully supported for
/// reading via [`WalFile::read_entries`] — not restricted like
/// [`WAL_VERSION_LEGACY_NO_CRC`], since it still verifies each entry
/// individually. `WalFile::open` migrates it to [`WAL_VERSION`] by
/// recreating the file fresh, the same as the legacy-no-CRC migration below.
const WAL_VERSION_CRC_UNCHAINED: u8 = 2;
/// The oldest WAL version this crate still knows how to *read*: no
/// per-entry CRC trailer at all, so a bit-flip anywhere is silently
/// accepted. Written by versions of this crate before the CRC32 hardening.
/// Because of that — unlike [`WAL_VERSION_CRC_UNCHAINED`] — this version is
/// deliberately *not* reachable through the public [`WalFile::read_entries`]
/// API; only [`WalFile::read_entries_for_migration`] (used exclusively by
/// `HDF5Memory::open`'s one-time migration path) will parse it. Flipping a
/// version byte from 2/3 down to 1 no longer silently downgrades a file to
/// the fully-unverified parser for an arbitrary caller.
///
/// `WalFile::open` migrates a legacy file to [`WAL_VERSION`] by recreating
/// it fresh — safe because every real call site reads existing entries via
/// [`WalFile::read_entries_for_migration`] before calling `open` (see
/// The only other WAL version this crate still knows how to *read*: no
/// per-entry CRC trailer. Written by versions of this crate before the CRC32
/// hardening. `WalFile::open` migrates a legacy file to [`WAL_VERSION`] by
/// recreating it fresh — safe because every real call site reads existing
/// entries via [`WalFile::read_entries`] before calling `open` (see
/// `HDF5Memory::open`), so no data is lost.
const WAL_VERSION_LEGACY_NO_CRC: u8 = 1;
@@ -78,10 +37,6 @@ pub enum WalEntryType {
Save = 0x01,
Tombstone = 0x02,
ActivationUpdate = 0x03,
/// Replace the record at `update_index` in place (`save_or_update` hit).
/// Logged as a plain `Save` before this existed, so replay appended a
/// duplicate instead of updating.
Update = 0x04,
}
impl WalEntryType {
@@ -90,7 +45,6 @@ impl WalEntryType {
0x01 => Some(Self::Save),
0x02 => Some(Self::Tombstone),
0x03 => Some(Self::ActivationUpdate),
0x04 => Some(Self::Update),
_ => None,
}
}
@@ -107,8 +61,6 @@ pub struct WalEntry {
pub tags: String,
/// For tombstone entries: the index of the entry to delete.
pub tombstone_index: Option<usize>,
/// For update entries: the index of the record to replace.
pub update_index: Option<usize>,
}
/// How many entries to accumulate before updating the header entry_count.
@@ -125,77 +77,15 @@ pub struct WalFile {
entry_count: u32,
/// Entries written since the last header count update.
pending_header_sync: u32,
/// CRC32 chain state: the previous entry's stored CRC (0 if this file
/// has no entries yet), folded into the next entry's CRC computation.
/// Reset to 0 by `truncate()`/`create_fresh_wal_file`, and re-derived by
/// scanning existing entries when `open()` attaches to a non-empty file.
running_crc: u32,
/// Bytes of verified entries after the header (the length of the chain
/// `running_crc` covers). Together they form the [`WalMark`].
chain_len: u64,
}
/// What a WAL file's 9-byte header looks like, without reading any entries.
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub enum WalHeaderStatus {
/// A version this build can read (current or legacy).
Readable,
/// Shorter than a header — e.g. a crash while the file was being created.
/// It cannot contain entries.
Torn,
/// Not a WAL file at all.
BadMagic,
/// Well-formed header from a version this build doesn't know — most
/// likely written by a *newer* build. Never discard this: the entries are
/// probably fine, this binary just can't read them.
UnknownVersion(u8),
}
/// Classify the header of the WAL at `path`.
pub fn wal_header_status(path: &Path) -> std::io::Result<WalHeaderStatus> {
let mut header = [0u8; WAL_HEADER_LEN as usize];
let mut f = File::open(path)?;
let mut filled = 0;
while filled < header.len() {
match f.read(&mut header[filled..])? {
0 => return Ok(WalHeaderStatus::Torn),
n => filled += n,
}
}
if header[0..4] != WAL_MAGIC {
return Ok(WalHeaderStatus::BadMagic);
}
Ok(match header[4] {
WAL_VERSION
| WAL_VERSION_CHAINED_NO_UPDATE
| WAL_VERSION_CRC_UNCHAINED
| WAL_VERSION_LEGACY_NO_CRC => WalHeaderStatus::Readable,
v => WalHeaderStatus::UnknownVersion(v),
})
}
/// A position in a WAL's CRC chain: `len` bytes of entries after the header,
/// whose chained CRC is `crc`.
///
/// A checkpoint stores the mark of the WAL prefix it folded into the `.h5`
/// file. If the process dies after the new `.h5` is in place but before the
/// WAL is truncated, the next `open()` finds that exact prefix still in the
/// WAL and skips it instead of replaying it on top of data that already
/// contains it (which used to duplicate every pending entry).
#[derive(Debug, Clone, Copy, PartialEq, Eq)]
pub struct WalMark {
pub len: u64,
pub crc: u32,
}
impl WalFile {
/// Open or create a WAL file. If it exists, read the header and entry count.
///
/// A pre-chaining WAL file ([`WAL_VERSION_CRC_UNCHAINED`] or
/// [`WAL_VERSION_LEGACY_NO_CRC`]) is migrated to the current format by
/// recreating it fresh. Callers that need an existing file's entries must
/// call [`WalFile::read_entries`] (or, for a legacy-no-CRC file,
/// [`WalFile::read_entries_for_migration`]) first, before calling `open`.
/// A legacy (pre-CRC) WAL file is migrated to the current format by
/// recreating it fresh — see [`WAL_VERSION_LEGACY_NO_CRC`]. Callers that
/// need the legacy file's entries must call [`WalFile::read_entries`]
/// first, before calling `open`.
pub fn open(path: &Path) -> Result<Self, MemoryError> {
if path.exists() {
// Read existing header
@@ -212,71 +102,20 @@ impl WalFile {
let mut ver = [0u8; 1];
f.read_exact(&mut ver)?;
match ver[0] {
WAL_VERSION | WAL_VERSION_CHAINED_NO_UPDATE => {
if ver[0] == WAL_VERSION_CHAINED_NO_UPDATE {
// Same framing; stamp the current version so an older
// binary refuses this file rather than truncating an
// Update record it can't parse. See the constant.
f.seek(SeekFrom::Start(4))?;
f.write_all(&[WAL_VERSION])?;
f.seek(SeekFrom::Start(5))?;
}
WAL_VERSION => {
let mut count_buf = [0u8; 4];
f.read_exact(&mut count_buf)?;
let header_count = u32::from_le_bytes(count_buf);
// Scan any existing entries to resume the CRC chain
// correctly for further appends (the header's count may
// be stale from deferred group-commit sync, same
// tolerance `read_entries` already has, so the scanned
// count is also the more accurate of the two).
let (entries, running_crc, verified_bytes) =
read_chained_entries(&mut f, 0, None);
let entry_count = if entries.is_empty() {
header_count
} else {
entries.len() as u32
};
// Position the append at the end of the VERIFIED prefix,
// and drop anything after it.
//
// This used to `seek(End(0))`, which appends PAST a torn
// tail — the ordinary outcome of a crash mid-append. The
// new entry is then chained to the last good entry, but
// sits on disk behind the garbage:
//
// [1..N verified][torn bytes][N+1 chained to N]
//
// Replay stops at the torn bytes, so N+1 is unreachable
// FOREVER even though its `append` returned Ok and synced.
// That is silent data loss in the one situation a WAL
// exists for. Truncating to the verified end is the
// standard recovery: the torn tail was never acknowledged
// to any caller, so discarding it loses nothing, and the
// chain then continues from a byte offset that matches
// `running_crc`.
let verified_end = WAL_HEADER_LEN + verified_bytes;
let file_len = f.metadata()?.len();
if file_len > verified_end {
eprintln!(
"clawhdf5-agent: WAL {} has {} unverifiable byte(s) after entry {}; \
discarding them so appends stay replayable",
path.display(),
file_len - verified_end,
entries.len()
);
f.set_len(verified_end)?;
}
f.seek(SeekFrom::Start(verified_end))?;
let entry_count = u32::from_le_bytes(count_buf);
// Seek to end for appending
f.seek(SeekFrom::End(0))?;
Ok(Self {
path: path.to_path_buf(),
file: Some(f),
entry_count,
pending_header_sync: 0,
running_crc,
chain_len: verified_bytes,
})
}
WAL_VERSION_CRC_UNCHAINED | WAL_VERSION_LEGACY_NO_CRC => {
WAL_VERSION_LEGACY_NO_CRC => {
drop(f);
let f = create_fresh_wal_file(path)?;
Ok(Self {
@@ -284,8 +123,6 @@ impl WalFile {
file: Some(f),
entry_count: 0,
pending_header_sync: 0,
running_crc: 0,
chain_len: 0,
})
}
v => Err(MemoryError::Schema(format!("unsupported WAL version {v}"))),
@@ -297,8 +134,6 @@ impl WalFile {
file: Some(f),
entry_count: 0,
pending_header_sync: 0,
running_crc: 0,
chain_len: 0,
})
}
}
@@ -322,20 +157,8 @@ impl WalFile {
4 + entry.session_id.len() +
4 + entry.tags.len(),
);
match entry.update_index {
Some(index) => {
let index = u32::try_from(index).map_err(|_| {
MemoryError::Schema(format!("WAL update index {index} exceeds u32"))
})?;
buf.push(WalEntryType::Update as u8);
buf.extend_from_slice(&entry.timestamp.to_le_bytes());
buf.extend_from_slice(&index.to_le_bytes());
}
None => {
buf.push(WalEntryType::Save as u8);
buf.extend_from_slice(&entry.timestamp.to_le_bytes());
}
}
buf.push(WalEntryType::Save as u8);
buf.extend_from_slice(&entry.timestamp.to_le_bytes());
serialize_str(&mut buf, &entry.chunk);
buf.extend_from_slice(&(emb_len as u32).to_le_bytes());
for &val in &entry.embedding {
@@ -345,10 +168,7 @@ impl WalFile {
serialize_str(&mut buf, &entry.session_id);
serialize_str(&mut buf, &entry.tags);
// Chain this entry's CRC to the previous one's so reordering/
// splicing entries (not just flipping a bit within one) is detected
// on replay — see WAL_VERSION's doc comment.
let crc = chained_crc(&buf, self.running_crc);
let crc = crc32(&buf);
buf.extend_from_slice(&crc.to_le_bytes());
let f = self
@@ -356,9 +176,7 @@ impl WalFile {
.as_mut()
.ok_or_else(|| MemoryError::Io(std::io::Error::other("WAL file not open")))?;
f.write_all(&buf)?;
self.chain_len += buf.len() as u64;
self.running_crc = crc;
self.entry_count += 1;
self.pending_header_sync += 1;
if self.pending_header_sync >= GROUP_COMMIT_SIZE {
@@ -373,7 +191,7 @@ impl WalFile {
buf[0] = WalEntryType::Tombstone as u8;
buf[1..9].copy_from_slice(&timestamp.to_le_bytes());
buf[9..13].copy_from_slice(&(index as u32).to_le_bytes());
let crc = chained_crc(&buf[..13], self.running_crc);
let crc = crc32(&buf[..13]);
buf[13..17].copy_from_slice(&crc.to_le_bytes());
let f = self
@@ -381,9 +199,7 @@ impl WalFile {
.as_mut()
.ok_or_else(|| MemoryError::Io(std::io::Error::other("WAL file not open")))?;
f.write_all(&buf)?;
self.chain_len += buf.len() as u64;
self.running_crc = crc;
self.entry_count += 1;
self.pending_header_sync += 1;
if self.pending_header_sync >= GROUP_COMMIT_SIZE {
@@ -398,46 +214,9 @@ impl WalFile {
/// (and may be stale if written with deferred group-commit updates). This
/// tolerates both truncated files (crash mid-write) and stale header counts
/// (crash before the next group-commit header sync). On a `WAL_VERSION`
/// file, a broken CRC chain (bit-flip, or an entry reordered/duplicated/
/// spliced in) is treated the same way — replay stops there rather than
/// accepting corrupted or tampered data. `WAL_VERSION_CRC_UNCHAINED`
/// files are read the same way minus the chain check (each entry's own
/// CRC is still verified).
///
/// Does **not** read [`WAL_VERSION_LEGACY_NO_CRC`] files — that format has
/// no integrity verification at all, so it's only reachable through
/// [`WalFile::read_entries_for_migration`], used exclusively by
/// `HDF5Memory::open`'s one-time migration path. Calling this on a
/// legacy-no-CRC file returns a typed error instead of silently
/// downgrading to the unverified parser.
/// file, a CRC32 mismatch on an entry is treated the same way — replay
/// stops there rather than accepting corrupted data.
pub fn read_entries(path: &Path) -> Result<Vec<WalEntry>, MemoryError> {
Self::read_entries_impl(path, false, None)
}
/// Like [`WalFile::read_entries`], but also accepts
/// [`WAL_VERSION_LEGACY_NO_CRC`] files (no per-entry integrity check at
/// all). Restricted to `pub(crate)` and named accordingly: the only
/// legitimate caller is `HDF5Memory::open`'s one-time migration of a
/// pre-CRC WAL file, which immediately recreates it in the current
/// format afterward. Do not use this for anything else.
///
/// `applied` is the checkpoint mark read from the `.h5` file, if any: if
/// the WAL's chain passes through it (same byte length, same chained
/// CRC), everything up to that point is already in the `.h5` and is
/// dropped. If it never does — the normal case, because the WAL was
/// truncated after the checkpoint — every entry is returned.
pub(crate) fn read_entries_for_migration(
path: &Path,
applied: Option<WalMark>,
) -> Result<Vec<WalEntry>, MemoryError> {
Self::read_entries_impl(path, true, applied)
}
fn read_entries_impl(
path: &Path,
allow_legacy_no_crc: bool,
applied: Option<WalMark>,
) -> Result<Vec<WalEntry>, MemoryError> {
if !path.exists() {
return Ok(Vec::new());
}
@@ -450,62 +229,46 @@ impl WalFile {
}
// entry_count is a pre-allocation hint only — we read until EOF.
let entry_count_hint = u32::from_le_bytes([header[5], header[6], header[7], header[8]]);
let mut entries = Vec::with_capacity(entry_count_hint as usize);
match header[4] {
WAL_VERSION | WAL_VERSION_CHAINED_NO_UPDATE => {
let (entries, _final_crc, _verified_bytes) =
read_chained_entries(&mut f, 0, applied);
Ok(entries)
}
WAL_VERSION_CRC_UNCHAINED => {
let mut entries = Vec::with_capacity(entry_count_hint as usize);
loop {
let raw_and_result = {
let mut tee = TeeReader::new(&mut f);
let result = read_one_entry(&mut tee);
(tee.into_buf(), result)
};
let (raw, result) = raw_and_result;
let entry_opt = match result {
Err(()) => break,
Ok(v) => v,
};
let mut crc_buf = [0u8; 4];
if f.read_exact(&mut crc_buf).is_err() {
break;
}
let stored_crc = u32::from_le_bytes(crc_buf);
if crc32(&raw) != stored_crc {
// Corruption detected — stop replay here, same as a
// clean truncation/EOF, rather than accepting the bad
// entry.
break;
}
if let Some(entry) = entry_opt {
entries.push(entry);
}
WAL_VERSION => loop {
let raw_and_result = {
let mut tee = TeeReader::new(&mut f);
let result = read_one_entry(&mut tee);
(tee.into_buf(), result)
};
let (raw, result) = raw_and_result;
let entry_opt = match result {
Err(()) => break,
Ok(v) => v,
};
let mut crc_buf = [0u8; 4];
if f.read_exact(&mut crc_buf).is_err() {
break;
}
Ok(entries)
}
WAL_VERSION_LEGACY_NO_CRC if allow_legacy_no_crc => {
let mut entries = Vec::with_capacity(entry_count_hint as usize);
loop {
match read_one_entry(&mut f) {
Err(()) => break,
Ok(Some(entry)) => entries.push(entry),
Ok(None) => {}
}
let stored_crc = u32::from_le_bytes(crc_buf);
if crc32(&raw) != stored_crc {
// Corruption detected — stop replay here, same as a clean
// truncation/EOF, rather than accepting the bad entry.
break;
}
Ok(entries)
if let Some(entry) = entry_opt {
entries.push(entry);
}
},
WAL_VERSION_LEGACY_NO_CRC => loop {
match read_one_entry(&mut f) {
Err(()) => break,
Ok(Some(entry)) => entries.push(entry),
Ok(None) => {}
}
},
v => {
return Err(MemoryError::Schema(format!("unsupported WAL version {v}")));
}
WAL_VERSION_LEGACY_NO_CRC => Err(MemoryError::Schema(
"WAL file is in the legacy no-CRC format (version 1), which read_entries() no \
longer accepts it has no per-entry integrity verification. Only the one-time \
migration path (WalFile::open) can read and upgrade it."
.into(),
)),
v => Err(MemoryError::Schema(format!("unsupported WAL version {v}"))),
}
Ok(entries)
}
/// Truncate the WAL (after merge into .h5).
@@ -516,20 +279,9 @@ impl WalFile {
self.file = Some(f);
self.entry_count = 0;
self.pending_header_sync = 0;
self.running_crc = 0;
self.chain_len = 0;
Ok(())
}
/// The mark covering every entry currently in this WAL. Store it with a
/// checkpoint taken from the state those entries produced.
pub fn mark(&self) -> WalMark {
WalMark {
len: self.chain_len,
crc: self.running_crc,
}
}
/// Number of pending entries.
pub fn pending_count(&self) -> u32 {
self.entry_count
@@ -569,28 +321,6 @@ pub fn replay_into_cache(entries: &[WalEntry], cache: &mut crate::cache::MemoryC
entry.tags.clone(),
);
}
WalEntryType::Update => match entry.update_index {
// The index was valid when the record was written; if the
// store no longer has it, keep the data rather than drop it.
Some(idx) if idx < cache.len() => cache.update(
idx,
entry.chunk.clone(),
entry.embedding.clone(),
entry.source_channel.clone(),
entry.timestamp,
entry.session_id.clone(),
),
_ => {
cache.push(
entry.chunk.clone(),
entry.embedding.clone(),
entry.source_channel.clone(),
entry.timestamp,
entry.session_id.clone(),
entry.tags.clone(),
);
}
},
WalEntryType::Tombstone => {
if let Some(idx) = entry.tombstone_index {
cache.mark_deleted(idx);
@@ -643,81 +373,6 @@ fn read_embedding<R: Read>(f: &mut R) -> Result<Vec<f32>, MemoryError> {
Ok(vals)
}
/// Compute the CRC32 trailer for a `WAL_VERSION` entry, chaining in the
/// previous entry's stored CRC (0 for the first entry after a truncation).
fn chained_crc(entry_bytes: &[u8], prev_crc: u32) -> u32 {
let mut chained = Vec::with_capacity(entry_bytes.len() + 4);
chained.extend_from_slice(entry_bytes);
chained.extend_from_slice(&prev_crc.to_le_bytes());
crc32(&chained)
}
/// Read and verify all entries from a `WAL_VERSION` (chained-CRC) stream
/// starting at the reader's current position, given the chain state to
/// resume from (0 for a stream starting at the beginning of a fresh WAL).
///
/// Returns the parsed entries, the final running CRC — the chain state to
/// continue from for further appends — and the number of BYTES consumed by
/// those verified entries. Stops (without erroring) at the first entry that
/// fails to parse or whose stored CRC doesn't match the expected chain value
/// — a bit-flip, truncation/EOF, or an entry having been
/// reordered/duplicated/spliced all produce a chain mismatch at that point,
/// and are all handled the same way: replay stops there.
///
/// The byte count is what lets `open()` position an append at the end of the
/// VERIFIED prefix rather than at end-of-file. Appending past a torn tail
/// writes entries that replay can never reach — see `open`.
///
/// `applied`, when given, is a checkpoint mark: once the chain reaches exactly
/// that position, the entries collected so far are discarded (they are
/// already in the `.h5` file). A zero-length mark matches nothing.
fn read_chained_entries<R: Read>(
f: &mut R,
start_crc: u32,
applied: Option<WalMark>,
) -> (Vec<WalEntry>, u32, u64) {
let applied = applied.filter(|m| m.len > 0);
let mut entries = Vec::new();
let mut running_crc = start_crc;
let mut verified_bytes: u64 = 0;
loop {
let raw_and_result = {
let mut tee = TeeReader::new(f);
let result = read_one_entry(&mut tee);
(tee.into_buf(), result)
};
let (raw, result) = raw_and_result;
let entry_opt = match result {
Err(()) => break,
Ok(v) => v,
};
let mut crc_buf = [0u8; 4];
if f.read_exact(&mut crc_buf).is_err() {
break;
}
let stored_crc = u32::from_le_bytes(crc_buf);
if chained_crc(&raw, running_crc) != stored_crc {
break;
}
running_crc = stored_crc;
// Only counted once the entry AND its CRC trailer verified, so the
// offset always points just past a complete, checked entry.
verified_bytes += raw.len() as u64 + crc_buf.len() as u64;
if let Some(entry) = entry_opt {
entries.push(entry);
}
if applied
== Some(WalMark {
len: verified_bytes,
crc: running_crc,
})
{
entries.clear();
}
}
(entries, running_crc, verified_bytes)
}
/// Create a fresh WAL file at `path` with the current-version header,
/// truncating/overwriting anything already there.
fn create_fresh_wal_file(path: &Path) -> Result<File, MemoryError> {
@@ -775,14 +430,7 @@ fn read_one_entry<R: Read>(r: &mut R) -> Result<Option<WalEntry>, ()> {
let timestamp = f64::from_le_bytes(ts_buf);
match entry_type {
WalEntryType::Save | WalEntryType::Update => {
let update_index = if entry_type == WalEntryType::Update {
let mut idx_buf = [0u8; 4];
r.read_exact(&mut idx_buf).map_err(|_| ())?;
Some(u32::from_le_bytes(idx_buf) as usize)
} else {
None
};
WalEntryType::Save => {
let chunk = read_len_prefixed_str(r).map_err(|_| ())?;
let embedding = read_embedding(r).map_err(|_| ())?;
let source_channel = read_len_prefixed_str(r).map_err(|_| ())?;
@@ -797,7 +445,6 @@ fn read_one_entry<R: Read>(r: &mut R) -> Result<Option<WalEntry>, ()> {
session_id,
tags,
tombstone_index: None,
update_index,
}))
}
WalEntryType::Tombstone => {
@@ -813,7 +460,6 @@ fn read_one_entry<R: Read>(r: &mut R) -> Result<Option<WalEntry>, ()> {
session_id: String::new(),
tags: String::new(),
tombstone_index: Some(idx),
update_index: None,
}))
}
WalEntryType::ActivationUpdate => Ok(None),
@@ -837,7 +483,6 @@ mod tests {
session_id: "sess-001".to_string(),
tags: "tag1,tag2".to_string(),
tombstone_index: None,
update_index: None,
}
}
@@ -956,7 +601,7 @@ mod tests {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("test.h5.wal");
let unicode_chunk = "Hello 世界! 🌍 émojis & ünïcödé";
let embedding = vec![0.1, -0.2, 3.4567, f32::MAX, f32::MIN_POSITIVE];
let embedding = vec![0.1, -0.2, 3.14159, f32::MAX, f32::MIN_POSITIVE];
{
let mut wal = WalFile::open(&wal_path).unwrap();
let entry = WalEntry {
@@ -968,7 +613,6 @@ mod tests {
session_id: "sess-öö-123".to_string(),
tags: "α,β,γ".to_string(),
tombstone_index: None,
update_index: None,
};
wal.append_save(&entry).unwrap();
}
@@ -1103,148 +747,6 @@ mod tests {
assert!(entries.is_empty());
}
/// Reopen `path` and return the stored chunks in order.
fn reopen_chunks(path: &std::path::Path) -> Vec<String> {
let mem = HDF5Memory::open(path).unwrap();
mem.cache.chunks.clone()
}
#[test]
fn crash_between_checkpoint_and_wal_truncate_does_not_duplicate() {
// flush() writes the new .h5 and only then truncates the WAL. Dying in
// between leaves BOTH a .h5 that contains the pending entries and a
// WAL that still lists them; replaying blindly used to double them.
let dir = TempDir::new().unwrap();
let config = make_config(&dir);
let h5_path = config.path.clone();
let wal_path = h5_path.with_extension("h5.wal");
let stale_wal = dir.path().join("stale.wal");
{
let mut mem = HDF5Memory::create(config).unwrap();
for name in ["a", "b", "c"] {
mem.save(make_entry(name, &[1.0, 0.0, 0.0, 0.0])).unwrap();
}
assert_eq!(mem.wal_pending_count(), 3);
std::fs::copy(&wal_path, &stale_wal).unwrap();
mem.flush_wal().unwrap();
}
// Undo the truncate: this is the on-disk state right after the crash.
std::fs::copy(&stale_wal, &wal_path).unwrap();
assert_eq!(WalFile::read_entries(&wal_path).unwrap().len(), 3);
assert_eq!(reopen_chunks(&h5_path), ["a", "b", "c"]);
// Entries appended to that same WAL after recovery are still replayed.
{
let mut mem = HDF5Memory::open(&h5_path).unwrap();
mem.save(make_entry("d", &[0.0, 1.0, 0.0, 0.0])).unwrap();
}
assert_eq!(reopen_chunks(&h5_path), ["a", "b", "c", "d"]);
}
#[test]
fn entries_written_after_a_completed_checkpoint_are_all_replayed() {
// Normal case: the checkpoint's mark refers to a WAL that has since
// been truncated, so it must not suppress anything in the new one —
// including when the new WAL grows past the old mark's length.
let dir = TempDir::new().unwrap();
let config = make_config(&dir);
let h5_path = config.path.clone();
{
let mut mem = HDF5Memory::create(config).unwrap();
mem.save(make_entry("a", &[1.0, 0.0, 0.0, 0.0])).unwrap();
mem.flush_wal().unwrap();
for name in ["b", "c", "d"] {
mem.save(make_entry(name, &[1.0, 0.0, 0.0, 0.0])).unwrap();
}
}
assert_eq!(reopen_chunks(&h5_path), ["a", "b", "c", "d"]);
}
#[test]
fn save_or_update_replays_as_update_not_duplicate() {
let dir = TempDir::new().unwrap();
let config = make_config(&dir);
let h5_path = config.path.clone();
{
let mut mem = HDF5Memory::create(config).unwrap();
let mut first = make_entry("v1", &[1.0, 0.0, 0.0, 0.0]);
first.tags = "key".into();
let mut second = make_entry("v2", &[0.0, 1.0, 0.0, 0.0]);
second.tags = "key".into();
let a = mem.save_or_update(first).unwrap();
mem.save(make_entry("other", &[0.0, 0.0, 1.0, 0.0]))
.unwrap();
let b = mem.save_or_update(second).unwrap();
assert_eq!(a, b);
assert_eq!(mem.cache.chunks, ["v2", "other"]);
// Dropped without a checkpoint: all three records live in the WAL.
}
let mem = HDF5Memory::open(&h5_path).unwrap();
assert_eq!(mem.cache.chunks, ["v2", "other"]);
assert_eq!(mem.cache.embeddings[0], [0.0, 1.0, 0.0, 0.0]);
}
#[test]
fn v3_wal_is_read_and_upgraded_in_place() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("old.wal");
{
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("kept", &[1.0])).unwrap();
}
// Rewrite the header as the pre-Update chained format.
let mut bytes = std::fs::read(&wal_path).unwrap();
bytes[4] = WAL_VERSION_CHAINED_NO_UPDATE;
std::fs::write(&wal_path, &bytes).unwrap();
assert_eq!(WalFile::read_entries(&wal_path).unwrap().len(), 1);
{
let mut wal = WalFile::open(&wal_path).unwrap();
assert_eq!(wal.pending_count(), 1);
wal.append_save(&make_wal_entry("new", &[2.0])).unwrap();
}
assert_eq!(std::fs::read(&wal_path).unwrap()[4], WAL_VERSION);
let chunks: Vec<_> = WalFile::read_entries(&wal_path)
.unwrap()
.into_iter()
.map(|e| e.chunk)
.collect();
assert_eq!(chunks, ["kept", "new"]);
}
#[test]
fn mark_matching_is_exact() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("m.wal");
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("one", &[1.0])).unwrap();
let after_one = wal.mark();
wal.append_save(&make_wal_entry("two", &[2.0])).unwrap();
let after_two = wal.mark();
drop(wal);
let read = |m| {
WalFile::read_entries_for_migration(&wal_path, m)
.unwrap()
.into_iter()
.map(|e| e.chunk)
.collect::<Vec<_>>()
};
assert_eq!(read(None), ["one", "two"]);
assert_eq!(read(Some(after_one)), ["two"]);
assert!(read(Some(after_two)).is_empty());
// Right length, wrong CRC (a different WAL generation): skip nothing.
let foreign = WalMark {
crc: after_one.crc ^ 1,
..after_one
};
assert_eq!(read(Some(foreign)), ["one", "two"]);
// Reopening resumes the same mark.
assert_eq!(WalFile::open(&wal_path).unwrap().mark(), after_two);
}
#[test]
fn test_wal_replay_on_open() {
// Test WAL replay using read_entries + replay_into_cache directly,
@@ -1410,157 +912,16 @@ mod tests {
assert_eq!(entries[0].chunk, "first");
}
/// A crash mid-append leaves a torn final entry. Reopening the WAL must
/// place the next append at the end of the VERIFIED prefix, not at
/// end-of-file, or that append is written behind garbage the replay
/// scanner stops at — unreachable forever despite having returned Ok.
///
/// This is the ordinary crash case, so getting it wrong loses
/// acknowledged writes in exactly the situation a WAL exists for.
#[test]
fn test_wal_append_after_torn_tail_stays_replayable() {
fn test_wal_reads_legacy_v1_format_without_crc() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("test.h5.wal");
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("first", &[1.0, 2.0]))
.unwrap();
drop(wal);
// Simulate the crash: a partial entry appended after the good one.
{
use std::io::Write;
let mut f = std::fs::OpenOptions::new()
.append(true)
.open(&wal_path)
.unwrap();
f.write_all(&[0xAB, 0xCD, 0xEF, 0x01, 0x02]).unwrap();
f.flush().unwrap();
}
// Reopen and append. The torn bytes must not survive between the
// verified prefix and the new entry.
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("second", &[3.0, 4.0]))
.unwrap();
drop(wal);
let entries = WalFile::read_entries(&wal_path).unwrap();
assert_eq!(
entries.len(),
2,
"the append after a torn tail must be replayable; got {} entr(y/ies) — \
the post-crash write was silently lost",
entries.len()
);
}
/// Reordering two entries on disk must break the CRC chain — the
/// second entry's stored CRC was computed against the first entry's
/// real CRC, not against the chain state a reader sees after swapping
/// them, so replay stops immediately instead of accepting the tampered
/// order (INT-09).
#[test]
fn test_wal_detects_reordered_entries() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("test.h5.wal");
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("first", &[1.0, 2.0]))
.unwrap();
let len_after_first = std::fs::metadata(&wal_path).unwrap().len() as usize;
wal.append_save(&make_wal_entry("second", &[3.0, 4.0]))
.unwrap();
let len_after_second = std::fs::metadata(&wal_path).unwrap().len() as usize;
drop(wal);
let bytes = std::fs::read(&wal_path).unwrap();
let header_len = 9usize;
let entry1_bytes = bytes[header_len..len_after_first].to_vec();
let entry2_bytes = bytes[len_after_first..len_after_second].to_vec();
let mut spliced = bytes[..header_len].to_vec();
spliced.extend_from_slice(&entry2_bytes);
spliced.extend_from_slice(&entry1_bytes);
std::fs::write(&wal_path, &spliced).unwrap();
let entries = WalFile::read_entries(&wal_path).unwrap();
assert!(
entries.is_empty(),
"reordered entries must break the CRC chain and stop replay, got {} entries",
entries.len()
);
}
/// Splicing a third-party entry in between two legitimate entries (e.g.
/// moving a Tombstone in front of the Save it's meant to follow) must
/// also break the chain for everything after the splice point.
#[test]
fn test_wal_detects_spliced_entry() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("test.h5.wal");
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("first", &[1.0])).unwrap();
let len_after_first = std::fs::metadata(&wal_path).unwrap().len() as usize;
wal.append_save(&make_wal_entry("second", &[2.0])).unwrap();
let len_after_second = std::fs::metadata(&wal_path).unwrap().len() as usize;
wal.append_save(&make_wal_entry("third", &[3.0])).unwrap();
drop(wal);
let bytes = std::fs::read(&wal_path).unwrap();
let entry2_bytes = bytes[len_after_first..len_after_second].to_vec();
// Duplicate "second" right after itself: [first][second][second][third]
let mut spliced = bytes[..len_after_second].to_vec();
spliced.extend_from_slice(&entry2_bytes);
spliced.extend_from_slice(&bytes[len_after_second..]);
std::fs::write(&wal_path, &spliced).unwrap();
let entries = WalFile::read_entries(&wal_path).unwrap();
assert_eq!(
entries.len(),
2,
"replay must stop at the spliced duplicate, keeping only the entries before it"
);
assert_eq!(entries[0].chunk, "first");
assert_eq!(entries[1].chunk, "second");
}
/// A WAL closed (without truncating) and reopened must continue the CRC
/// chain correctly for newly appended entries — this is the normal
/// crash-restart-without-flush scenario (`HDF5Memory::open` replays
/// existing entries, then reopens the same file for further appends
/// without clearing it), and must not produce a false "reordering"
/// detection for its own legitimately-appended entries.
#[test]
fn test_wal_chain_continues_across_reopen() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("test.h5.wal");
let mut wal = WalFile::open(&wal_path).unwrap();
wal.append_save(&make_wal_entry("first", &[1.0])).unwrap();
drop(wal); // simulate a restart without ever truncating the WAL
let mut wal2 = WalFile::open(&wal_path).unwrap();
wal2.append_save(&make_wal_entry("second", &[2.0])).unwrap();
drop(wal2);
let entries = WalFile::read_entries(&wal_path).unwrap();
assert_eq!(
entries.len(),
2,
"both pre- and post-reopen entries must replay cleanly"
);
assert_eq!(entries[0].chunk, "first");
assert_eq!(entries[1].chunk, "second");
}
/// Build a legacy (WAL_VERSION_LEGACY_NO_CRC) WAL file containing one
/// Save entry, with no trailing CRC32.
fn build_legacy_v1_wal_bytes() -> Vec<u8> {
let wal_path = dir.path().join("legacy.h5.wal");
let mut buf = Vec::new();
buf.extend_from_slice(&WAL_MAGIC);
buf.push(WAL_VERSION_LEGACY_NO_CRC);
buf.extend_from_slice(&1u32.to_le_bytes());
// One Save entry in the old format: type + timestamp + fields, with
// no trailing CRC32.
buf.push(WalEntryType::Save as u8);
buf.extend_from_slice(&42.0f64.to_le_bytes());
serialize_str(&mut buf, "legacy-chunk");
@@ -1572,39 +933,14 @@ mod tests {
serialize_str(&mut buf, "chan");
serialize_str(&mut buf, "sess");
serialize_str(&mut buf, "tags");
buf
}
std::fs::write(&wal_path, &buf).unwrap();
#[test]
fn test_wal_reads_legacy_v1_format_without_crc() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("legacy.h5.wal");
std::fs::write(&wal_path, build_legacy_v1_wal_bytes()).unwrap();
// Only the migration-only reader may read a legacy no-CRC file.
let entries = WalFile::read_entries_for_migration(&wal_path, None).unwrap();
let entries = WalFile::read_entries(&wal_path).unwrap();
assert_eq!(entries.len(), 1);
assert_eq!(entries[0].chunk, "legacy-chunk");
assert_eq!(entries[0].embedding, vec![1.0, 2.0]);
}
/// The public `read_entries` must reject a legacy no-CRC file instead of
/// silently downgrading to the fully-unverified parser (INT-09) — flipping
/// a version byte from 2/3 down to 1 must not be a way to bypass every
/// integrity check for an arbitrary caller of the public API.
#[test]
fn test_wal_read_entries_rejects_legacy_v1_format() {
let dir = TempDir::new().unwrap();
let wal_path = dir.path().join("legacy.h5.wal");
std::fs::write(&wal_path, build_legacy_v1_wal_bytes()).unwrap();
let result = WalFile::read_entries(&wal_path);
assert!(
result.is_err(),
"read_entries() must reject a legacy no-CRC WAL file, not silently parse it"
);
}
#[test]
fn test_wal_open_migrates_legacy_v1_to_current_version() {
let dir = TempDir::new().unwrap();
@@ -1,187 +0,0 @@
//! Crash-recovery matrix for `HDF5Memory`.
//!
//! A process crash leaves whatever reached the OS on disk. These tests build
//! the on-disk images such a crash can leave behind — after every operation,
//! inside the checkpoint window (new `.h5` in place, WAL not yet truncated),
//! and with the WAL torn at every possible length — then reopen each image
//! and check the recovered store against a model of what was acknowledged.
//!
//! Invariants:
//! * never a duplicated or invented record;
//! * an image taken between operations recovers *exactly* the acknowledged
//! state;
//! * a torn WAL recovers the last checkpoint plus a prefix of the operations
//! logged since.
use std::path::{Path, PathBuf};
use clawhdf5_agent::{AgentMemory, HDF5Memory, MemoryConfig, MemoryEntry};
use tempfile::TempDir;
struct Rng(u64);
impl Rng {
fn next(&mut self) -> u64 {
self.0 = self.0.wrapping_add(0x9E37_79B9_7F4A_7C15);
let mut z = self.0;
z = (z ^ (z >> 30)).wrapping_mul(0xBF58_476D_1CE4_E5B9);
z = (z ^ (z >> 27)).wrapping_mul(0x94D0_49BB_1331_11EB);
z ^ (z >> 31)
}
fn below(&mut self, n: usize) -> usize {
(self.next() % n.max(1) as u64) as usize
}
}
fn entry(chunk: &str, tags: &str) -> MemoryEntry {
MemoryEntry {
chunk: chunk.to_string(),
embedding: vec![1.0, 0.0, 0.0, 0.0],
source_channel: "test".into(),
timestamp: 1.0,
session_id: "s".into(),
tags: tags.to_string(),
}
}
fn wal_path(h5: &Path) -> PathBuf {
h5.with_extension("h5.wal")
}
/// Copy the store (`.h5` + WAL) into a fresh directory, as a crash image.
fn image(h5: &Path, into: &TempDir, name: &str) -> PathBuf {
let dest = into.path().join(format!("{name}.h5"));
std::fs::copy(h5, &dest).unwrap();
if wal_path(h5).exists() {
std::fs::copy(wal_path(h5), wal_path(&dest)).unwrap();
}
dest
}
fn recovered(h5: &Path) -> Vec<String> {
// Read-only: the image must not be modified, and no lock is needed.
HDF5Memory::open_read_only(h5).unwrap().cache.chunks.clone()
}
/// Apply one random operation to the store and to the model.
fn step(mem: &mut HDF5Memory, model: &mut Vec<String>, rng: &mut Rng, n: usize) {
match rng.below(6) {
0 => mem.flush_wal().unwrap(),
1 if !model.is_empty() => {
// Update an existing record in place, addressed by its tag.
let idx = rng.below(model.len());
let chunk = format!("u{n}");
assert_eq!(
mem.save_or_update(entry(&chunk, &format!("tag{idx}")))
.unwrap(),
idx
);
model[idx] = chunk;
}
_ => {
let chunk = format!("c{n}");
mem.save(entry(&chunk, &format!("tag{}", model.len())))
.unwrap();
model.push(chunk);
}
}
}
#[test]
fn image_after_every_operation_recovers_the_acknowledged_state() {
for seed in 0..40u64 {
let mut rng = Rng(seed);
let dir = TempDir::new().unwrap();
let images = TempDir::new().unwrap();
let mut config = MemoryConfig::new(dir.path().join("store.h5"), "agent", 4);
config.wal_enabled = true;
config.wal_max_entries = 1 + rng.below(6); // force frequent checkpoints
let h5 = config.path.clone();
let mut mem = HDF5Memory::create(config).unwrap();
let mut model = Vec::new();
for n in 0..30 {
step(&mut mem, &mut model, &mut rng, n);
let img = image(&h5, &images, &format!("s{seed}-{n}"));
assert_eq!(recovered(&img), model, "seed {seed}, after op {n}");
}
}
}
#[test]
fn crash_inside_the_checkpoint_window_never_duplicates() {
for seed in 0..40u64 {
let mut rng = Rng(seed ^ 0xABCD);
let dir = TempDir::new().unwrap();
let images = TempDir::new().unwrap();
let mut config = MemoryConfig::new(dir.path().join("store.h5"), "agent", 4);
config.wal_enabled = true;
config.wal_max_entries = 1000; // checkpoints only when we ask
let h5 = config.path.clone();
let mut mem = HDF5Memory::create(config).unwrap();
let mut model = Vec::new();
for round in 0..4 {
for n in 0..(1 + rng.below(6)) {
step(&mut mem, &mut model, &mut rng, round * 100 + n);
}
// The WAL as it is just before the checkpoint...
let stale_wal = images.path().join(format!("stale-{seed}-{round}.wal"));
if wal_path(&h5).exists() {
std::fs::copy(wal_path(&h5), &stale_wal).unwrap();
}
mem.flush_wal().unwrap();
// ...put back next to the NEW .h5: the crash-in-the-window image.
let img = image(&h5, &images, &format!("w{seed}-{round}"));
if stale_wal.exists() {
std::fs::copy(&stale_wal, wal_path(&img)).unwrap();
}
assert_eq!(recovered(&img), model, "seed {seed}, round {round}");
}
}
}
#[test]
fn torn_wal_recovers_checkpoint_plus_a_prefix() {
let dir = TempDir::new().unwrap();
let images = TempDir::new().unwrap();
let mut config = MemoryConfig::new(dir.path().join("store.h5"), "agent", 4);
config.wal_enabled = true;
config.wal_max_entries = 1000;
let h5 = config.path.clone();
let mut mem = HDF5Memory::create(config).unwrap();
for name in ["a", "b"] {
mem.save(entry(name, name)).unwrap();
}
mem.flush_wal().unwrap();
let checkpointed = vec!["a".to_string(), "b".to_string()];
// States the store passes through as each later op is logged.
let mut states = vec![checkpointed.clone()];
let mut model = checkpointed.clone();
mem.save(entry("c", "c")).unwrap();
model.push("c".into());
states.push(model.clone());
mem.save_or_update(entry("a2", "a")).unwrap();
model[0] = "a2".into();
states.push(model.clone());
mem.save(entry("d", "d")).unwrap();
model.push("d".into());
states.push(model.clone());
let full_wal = std::fs::read(wal_path(&h5)).unwrap();
let mut seen = std::collections::BTreeSet::new();
for len in 0..=full_wal.len() {
let img = image(&h5, &images, &format!("t{len}"));
std::fs::write(wal_path(&img), &full_wal[..len]).unwrap();
let got = recovered(&img);
let which = states
.iter()
.position(|s| *s == got)
.unwrap_or_else(|| panic!("WAL torn at {len} bytes recovered {got:?}"));
seen.insert(which);
}
// Every intermediate state is reachable, and the full WAL gives the last.
assert_eq!(seen.into_iter().collect::<Vec<_>>(), [0, 1, 2, 3]);
}
+10 -12
View File
@@ -196,7 +196,7 @@ fn test_migration_round_trip() {
mem.add_relation(e1, e2, "discusses", 0.8).unwrap();
// Verify all data transferred by reopening
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 500);
// Verify sessions
@@ -266,7 +266,7 @@ fn test_knowledge_graph_workflow() {
assert_eq!(entity.entity_type, "library");
// Persistence
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.knowledge().entities.len(), 4);
assert_eq!(reopened.knowledge().relations.len(), 4);
@@ -316,7 +316,7 @@ fn test_multi_session_workflow() {
assert_eq!(mem.count(), 100); // 5 sessions * 20 entries
// Reopen and verify sessions
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
for sess in 0..5 {
let summary = reopened
.get_session_summary(&format!("sess_{sess}"))
@@ -460,7 +460,7 @@ fn test_snapshot_and_continue() {
assert_eq!(snap_mem.count(), 50);
// Original should have 100
let orig_mem = HDF5Memory::open_read_only(&path).unwrap();
let orig_mem = HDF5Memory::open(&path).unwrap();
assert_eq!(orig_mem.count(), 100);
}
@@ -483,7 +483,7 @@ fn test_config_persistence_across_ops() {
mem.add_session("s1", 0, 0, "ch", "summary").unwrap();
mem.add_entity("Entity", "type", -1).unwrap();
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.config().embedding_dim, 128);
assert_eq!(reopened.config().embedder, "custom:my-embedder-v2");
assert_eq!(reopened.config().chunk_size, 2048);
@@ -695,7 +695,7 @@ fn test_large_text_chunks() {
mem.save_batch(entries).unwrap();
// Reopen and verify
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 10);
let (_, cache, _, _) = read_cache(&path);
@@ -752,7 +752,7 @@ fn test_interleaved_sessions_entries() {
mem.flush_wal().unwrap();
// Verify
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 6);
assert_eq!(
reopened.get_session_summary("s1").unwrap().as_deref(),
@@ -806,7 +806,7 @@ fn test_knowledge_graph_with_embeddings() {
mem.add_relation(e_python, e_hdf5, "reads", 0.9).unwrap();
// Verify entity-embedding linkage persists
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
let rust_entity = reopened.knowledge().get_entity(e_rust).unwrap();
assert_eq!(rust_entity.embedding_idx, idx0 as i64);
@@ -1048,7 +1048,7 @@ fn test_gpu_l2_fallback_works() {
let tombstones = vec![0u8; 3];
let gpu = clawhdf5_agent::gpu_search::GpuSearchBackend::try_init(&vectors, &norms, 2, 1);
let results = gpu.search_l2(&[0.0, 0.0], &vectors, &tombstones, 3);
let results = gpu.search_l2(&vec![0.0, 0.0], &vectors, &tombstones, 3);
assert_eq!(results.len(), 3);
assert_eq!(results[0].0, 0);
@@ -1099,7 +1099,7 @@ fn test_mmap_reader_direct_access() {
// Open via MmapReader directly
let mmap = clawhdf5_io::MmapReader::open(&path).unwrap();
assert!(!mmap.is_empty());
assert!(mmap.len() > 0);
// Verify we can read bytes at specific offsets
let bytes = mmap.read_at(0, 8);
assert!(bytes.is_some());
@@ -1144,11 +1144,9 @@ fn test_strategy_reports_backend() {
let tombstones = vec![0u8; n];
let query = vectors[0].clone();
let flat: Vec<f32> = vectors.iter().flatten().copied().collect();
let (_, metrics) = strategy::search_with_metrics(
&query,
&vectors,
&flat,
&norms,
&tombstones,
5,
@@ -137,10 +137,10 @@ fn bench_hit_at_1_1014_records() {
0.3,
1,
);
if let Some((top_idx, _)) = results.first()
&& *top_idx == target_indices[qi]
{
hits += 1;
if let Some((top_idx, _)) = results.first() {
if *top_idx == target_indices[qi] {
hits += 1;
}
}
}
+5 -5
View File
@@ -105,7 +105,7 @@ fn test_heavy_tombstoning() {
assert_eq!(mem.count_active(), 5000);
// Verify persistence
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 5000);
}
@@ -163,7 +163,7 @@ fn test_large_embeddings_1536() {
assert_eq!(mem.count(), 10_000);
// Verify persistence
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 10_000);
// Verify search works on large dims
@@ -545,7 +545,7 @@ fn test_delete_all_entries() {
assert_eq!(mem.count(), 0);
// Verify persistence
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 0);
}
@@ -639,7 +639,7 @@ fn test_unicode_content() {
];
mem.save_batch(entries).unwrap();
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 3);
let (_, cache, _, _) = clawhdf5_agent::storage::read_from_disk(&path).unwrap();
@@ -685,6 +685,6 @@ fn test_rapid_save_delete_cycles() {
assert_eq!(removed, 250);
assert_eq!(mem.count(), 250);
let reopened = HDF5Memory::open_read_only(&path).unwrap();
let reopened = HDF5Memory::open(&path).unwrap();
assert_eq!(reopened.count(), 250);
}
@@ -1,213 +0,0 @@
//! Property tests for the write-ahead log.
//!
//! A deterministic generator (no external crates, reproducible from the seed
//! printed on failure) drives thousands of cases through two properties:
//!
//! 1. **Round trip** — whatever was appended is read back, in order, intact.
//! 2. **Prefix under corruption** — after *any* damage to the file (bit flips,
//! truncation, inserted or deleted bytes, duplicated or reordered regions),
//! reading never panics and yields an exact *prefix* of what was written.
//! This is the guarantee the chained CRC exists to provide: replay may stop
//! early, but it never returns a corrupted, reordered, or invented entry.
use clawhdf5_agent::wal::{WalEntry, WalEntryType, WalFile};
/// SplitMix64: tiny, well-distributed, and fully determined by its seed.
struct Rng(u64);
impl Rng {
fn next(&mut self) -> u64 {
self.0 = self.0.wrapping_add(0x9E37_79B9_7F4A_7C15);
let mut z = self.0;
z = (z ^ (z >> 30)).wrapping_mul(0xBF58_476D_1CE4_E5B9);
z = (z ^ (z >> 27)).wrapping_mul(0x94D0_49BB_1331_11EB);
z ^ (z >> 31)
}
fn below(&mut self, n: usize) -> usize {
(self.next() % n.max(1) as u64) as usize
}
fn string(&mut self, max_len: usize) -> String {
const ALPHABET: &[char] = &['a', 'Z', '0', ' ', '\n', '\0', 'é', '漢', '🦀', '"'];
(0..self.below(max_len + 1))
.map(|_| ALPHABET[self.below(ALPHABET.len())])
.collect()
}
}
/// What a test appended, in a form comparable with what is read back.
#[derive(Debug, Clone, PartialEq)]
enum Logged {
Save(String, Vec<u32>, String, String, String, u64),
Update(usize, String, Vec<u32>, u64),
Tombstone(usize, u64),
}
fn logged(entry: &WalEntry) -> Logged {
// Compare floats by bit pattern so NaN payloads and -0.0 count as intact.
let bits: Vec<u32> = entry.embedding.iter().map(|f| f.to_bits()).collect();
let ts = entry.timestamp.to_bits();
match entry.entry_type {
WalEntryType::Save => Logged::Save(
entry.chunk.clone(),
bits,
entry.source_channel.clone(),
entry.session_id.clone(),
entry.tags.clone(),
ts,
),
WalEntryType::Update => {
Logged::Update(entry.update_index.unwrap(), entry.chunk.clone(), bits, ts)
}
WalEntryType::Tombstone => Logged::Tombstone(entry.tombstone_index.unwrap(), ts),
WalEntryType::ActivationUpdate => unreachable!("never written by these tests"),
}
}
/// Append a random mix of records; return what was written.
fn write_random_wal(path: &std::path::Path, rng: &mut Rng) -> Vec<Logged> {
let mut wal = WalFile::open(path).unwrap();
let mut written = Vec::new();
for _ in 0..rng.below(12) {
let timestamp = f64::from_bits(rng.next());
if rng.below(5) == 0 {
let index = rng.below(1000);
wal.append_tombstone(index, timestamp).unwrap();
written.push(Logged::Tombstone(index, timestamp.to_bits()));
continue;
}
let update_index = (rng.below(4) == 0).then(|| rng.below(1000));
let entry = WalEntry {
entry_type: if update_index.is_some() {
WalEntryType::Update
} else {
WalEntryType::Save
},
timestamp,
chunk: rng.string(40),
embedding: (0..rng.below(9))
.map(|_| f32::from_bits(rng.next() as u32))
.collect(),
source_channel: rng.string(8),
session_id: rng.string(8),
tags: rng.string(8),
tombstone_index: None,
update_index,
};
wal.append_save(&entry).unwrap();
written.push(logged(&entry));
}
written
}
fn read_back(path: &std::path::Path) -> Option<Vec<Logged>> {
WalFile::read_entries(path)
.ok()
.map(|entries| entries.iter().map(logged).collect())
}
#[test]
fn everything_appended_is_read_back_intact() {
let dir = tempfile::TempDir::new().unwrap();
for seed in 0..300u64 {
let path = dir.path().join(format!("rt-{seed}.wal"));
let written = write_random_wal(&path, &mut Rng(seed));
assert_eq!(read_back(&path).unwrap(), written, "seed {seed}");
// Reopening (which scans and repositions) must not disturb anything.
drop(WalFile::open(&path).unwrap());
assert_eq!(
read_back(&path).unwrap(),
written,
"seed {seed} after reopen"
);
}
}
/// Damage `bytes` in one of several ways.
fn corrupt(bytes: &mut Vec<u8>, rng: &mut Rng) {
if bytes.is_empty() {
return;
}
match rng.below(7) {
0 => {
let i = rng.below(bytes.len());
bytes[i] ^= 1 << rng.below(8);
}
1 => bytes.truncate(rng.below(bytes.len())),
2 => {
let i = rng.below(bytes.len() + 1);
bytes.insert(i, rng.next() as u8);
}
3 => {
let i = rng.below(bytes.len());
bytes.remove(i);
}
4 => {
// Duplicate a region in place (a replayed/duplicated entry).
let a = rng.below(bytes.len());
let b = a + rng.below(bytes.len() - a);
let region = bytes[a..b].to_vec();
let at = rng.below(bytes.len() + 1);
bytes.splice(at..at, region);
}
5 => {
// Swap two regions (reordered entries).
let mid = rng.below(bytes.len());
bytes.rotate_left(mid);
}
_ => {
let i = rng.below(bytes.len());
let n = rng.below(bytes.len() - i + 1);
for b in &mut bytes[i..i + n] {
*b = rng.next() as u8;
}
}
}
}
#[test]
fn any_corruption_yields_a_prefix_never_a_wrong_entry() {
let dir = tempfile::TempDir::new().unwrap();
let mut shortened = 0u32;
for seed in 0..1500u64 {
let mut rng = Rng(seed ^ 0xC0FF_EE00);
let path = dir.path().join("c.wal");
let _ = std::fs::remove_file(&path);
let written = write_random_wal(&path, &mut rng);
let mut bytes = std::fs::read(&path).unwrap();
for _ in 0..=rng.below(3) {
corrupt(&mut bytes, &mut rng);
}
std::fs::write(&path, &bytes).unwrap();
// An unreadable header is a clean error; anything else is a prefix.
if let Some(read) = read_back(&path) {
assert!(
read.len() <= written.len() && read[..] == written[..read.len()],
"seed {seed}: read {read:?}\nis not a prefix of {written:?}"
);
if read.len() < written.len() {
shortened += 1;
}
// Opening for append repairs the tail; what was readable stays so,
// and a new entry lands right after it.
if let Ok(mut wal) = WalFile::open(&path) {
wal.append_tombstone(7, 1.0).unwrap();
drop(wal);
let mut expected = read.clone();
expected.push(Logged::Tombstone(7, 1.0f64.to_bits()));
assert_eq!(
read_back(&path).unwrap(),
expected,
"seed {seed} after repair"
);
}
}
}
assert!(
shortened > 100,
"corruption rarely took effect: {shortened}"
);
}
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "clawhdf5-android"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Android JNI bridge for edgehdf5-memory HDF5 backend"
license = "MIT"
+4 -5
View File
@@ -1,18 +1,17 @@
[package]
name = "clawhdf5-ann"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "HNSW approximate nearest neighbor index stored as HDF5"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "ann", "hnsw", "nearest-neighbor"]
categories = ["algorithms", "science"]
[dependencies]
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.3.0" }
clawhdf5-accel = { path = "../clawhdf5-accel", version = "2.3.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.1.0" }
rayon = { version = "1", optional = true }
[features]
+24 -18
View File
@@ -44,14 +44,32 @@ impl DistanceMetric {
}
/// Compute distance between two vectors using the given metric.
///
/// Delegates to `clawhdf5-accel`'s runtime-dispatched SIMD kernels (AVX2 on
/// x86_64, NEON on aarch64, portable scalar fallback elsewhere) — this is
/// the hottest loop in both HNSW build and every `hybrid_search` query.
fn compute_distance(a: &[f32], b: &[f32], metric: DistanceMetric) -> f32 {
match metric {
DistanceMetric::L2 => clawhdf5_accel::l2_distance(a, b),
DistanceMetric::Cosine => 1.0 - clawhdf5_accel::cosine_similarity(a, b),
DistanceMetric::L2 => {
let mut sum = 0.0f32;
for i in 0..a.len() {
let d = a[i] - b[i];
sum += d * d;
}
sum.sqrt()
}
DistanceMetric::Cosine => {
let mut dot = 0.0f32;
let mut norm_a = 0.0f32;
let mut norm_b = 0.0f32;
for i in 0..a.len() {
dot += a[i] * b[i];
norm_a += a[i] * a[i];
norm_b += b[i] * b[i];
}
let denom = norm_a.sqrt() * norm_b.sqrt();
if denom < f32::EPSILON {
1.0
} else {
1.0 - (dot / denom)
}
}
}
}
@@ -1300,18 +1318,6 @@ mod tests {
assert!((d - 1.0).abs() < 1e-6); // zero vector -> distance 1
}
#[test]
fn cosine_near_zero_vector() {
// Tiny-but-nonzero, identical-direction vectors: denom is well
// below f32::EPSILON but not exactly 0.0. Must still be treated
// as a degenerate/unreliable direction (distance 1, "maximally
// dissimilar"), not as an exact match (distance 0).
let a = vec![1e-4, 1e-4];
let b = vec![1e-4, 1e-4];
let d = compute_distance(&a, &b, DistanceMetric::Cosine);
assert!((d - 1.0).abs() < 1e-6);
}
#[test]
fn insert_into_empty_index() {
let mut index = HnswIndex::new(4, 16, DistanceMetric::L2);
+1 -1
View File
@@ -1,6 +1,6 @@
[package]
name = "clawhdf5-bench"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Benchmark harnesses for clawhdf5-agent (Track 8)"
license = "MIT"
@@ -22,9 +22,7 @@
use std::time::Instant;
use clawhdf5_agent::bm25::BM25Index;
use clawhdf5_agent::consolidation::{
ConsolidationConfig, ConsolidationEngine, TrustedSource, UntrustedSource,
};
use clawhdf5_agent::consolidation::{ConsolidationConfig, ConsolidationEngine, MemorySource};
use clawhdf5_agent::hybrid::hybrid_search;
const EMBEDDING_DIM: usize = 384;
@@ -234,7 +232,7 @@ fn run_quality_benchmark() {
for i in 0..SIGNAL_KEYWORDS.len() {
let chunk = make_signal_content(i);
let embedding = make_embedding(i * 1000);
let id = engine.add_trusted_memory(chunk, embedding, TrustedSource::Correction, now);
let id = engine.add_memory(chunk, embedding, MemorySource::Correction, now);
signal_ids.push(id);
}
@@ -242,12 +240,7 @@ fn run_quality_benchmark() {
for i in 0..990 {
let chunk = make_noise_content(i);
let embedding = make_embedding(i + 100);
engine.add_trusted_memory(
chunk,
embedding,
TrustedSource::System,
now + i as f64 * 0.1,
);
engine.add_memory(chunk, embedding, MemorySource::System, now + i as f64 * 0.1);
}
println!(" → Inserted {} records total", engine.records().len());
@@ -340,7 +333,7 @@ fn run_cycle_time_benchmark() {
for i in 0..n {
let chunk = make_noise_content(i);
let embedding = make_embedding(i);
engine.add_memory(chunk, embedding, UntrustedSource::User, now + i as f64);
engine.add_memory(chunk, embedding, MemorySource::User, now + i as f64);
}
// Warmup
@@ -351,7 +344,7 @@ fn run_cycle_time_benchmark() {
for i in n..(n * 2) {
let chunk = make_noise_content(i);
let embedding = make_embedding(i);
engine.add_memory(chunk, embedding, UntrustedSource::User, now + i as f64);
engine.add_memory(chunk, embedding, MemorySource::User, now + i as f64);
}
// Timed consolidation
@@ -417,13 +410,13 @@ fn run_memory_reduction_benchmark() {
for i in 0..signal_count {
let chunk = make_signal_content(i % SIGNAL_KEYWORDS.len());
let emb = make_embedding(i * 999);
let id = engine.add_trusted_memory(chunk, emb, TrustedSource::Correction, now);
let id = engine.add_memory(chunk, emb, MemorySource::Correction, now);
signal_ids.push(id);
}
for i in 0..noise_count {
let chunk = make_noise_content(i);
let emb = make_embedding(i + 200);
engine.add_trusted_memory(chunk, emb, TrustedSource::System, now + i as f64 * 0.1);
engine.add_memory(chunk, emb, MemorySource::System, now + i as f64 * 0.1);
}
// Access signal records heavily
+3 -3
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-cli"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
license = "MIT"
description = "CLI for clawhdf5 agent memory — create, save, search, recall, stats"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
keywords = ["hdf5", "ai", "memory", "agent", "cli"]
categories = ["command-line-utilities", "science"]
readme = "../../README.md"
@@ -14,7 +14,7 @@ name = "clawhdf5"
path = "src/main.rs"
[dependencies]
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.3.0" }
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.1.0" }
clap = { version = "4", features = ["derive", "env"] }
serde_json = "1"
serde = { workspace = true }
+4 -4
View File
@@ -146,7 +146,7 @@ fn run(cli: Cli) -> Result<(), Box<dyn std::error::Error>> {
}
Commands::Recall { index } => {
let mem = HDF5Memory::open_read_only(&cli.path)?;
let mem = HDF5Memory::open(&cli.path)?;
match mem.get_chunk(index) {
Some(content) => {
let j = serde_json::json!({ "index": index, "chunk": content });
@@ -160,7 +160,7 @@ fn run(cli: Cli) -> Result<(), Box<dyn std::error::Error>> {
}
Commands::Stats => {
let mem = HDF5Memory::open_read_only(&cli.path)?;
let mem = HDF5Memory::open(&cli.path)?;
let cfg = mem.config();
let j = serde_json::json!({
"path": cli.path.display().to_string(),
@@ -187,7 +187,7 @@ fn run(cli: Cli) -> Result<(), Box<dyn std::error::Error>> {
}
Commands::AgentsMd { output } => {
let mem = HDF5Memory::open_read_only(&cli.path)?;
let mem = HDF5Memory::open(&cli.path)?;
let md = mem.generate_agents_md();
match output {
Some(p) => {
@@ -199,7 +199,7 @@ fn run(cli: Cli) -> Result<(), Box<dyn std::error::Error>> {
}
Commands::Export => {
let mem = HDF5Memory::open_read_only(&cli.path)?;
let mem = HDF5Memory::open(&cli.path)?;
for i in 0..mem.count() {
if let Some(chunk) = mem.get_chunk(i) {
let j = serde_json::json!({ "index": i, "chunk": chunk });
+2 -2
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-derive"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Derive macros for rustyhdf5 HDF5 traits"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "derive", "macros", "science"]
categories = ["development-tools::procedural-macro-helpers"]
+2 -2
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-filters"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Filter and compression pipeline for clawhdf5"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "compression", "deflate", "filters"]
categories = ["compression", "science"]
+3 -3
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-format"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Pure-Rust HDF5 binary format parsing and writing — no C dependencies"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "science", "data", "binary", "no-std"]
categories = ["parser-implementations", "science", "encoding", "no-std"]
@@ -25,7 +25,7 @@ pco = { version = "1.0", optional = true }
[dev-dependencies]
serde_json = "1"
criterion = { workspace = true }
clawhdf5-derive = { path = "../clawhdf5-derive", version = "2.3.0" }
clawhdf5-derive = { path = "../clawhdf5-derive", version = "2.1.0" }
[[bench]]
name = "bench"
+16 -115
View File
@@ -1,9 +1,7 @@
//! HDF5 Attribute message parsing (message type 0x000C).
#[cfg(not(feature = "std"))]
use alloc::{borrow::Cow, string::String, vec::Vec};
#[cfg(feature = "std")]
use std::borrow::Cow;
use alloc::{string::String, vec::Vec};
use crate::attribute_info::AttributeInfoMessage;
use crate::btree_v2::{BTreeV2Header, collect_btree_v2_records};
@@ -50,64 +48,17 @@ impl AttributeMessage {
///
/// `length_size` is needed for dataspace dimension parsing.
pub fn parse(data: &[u8], length_size: u8) -> Result<AttributeMessage, FormatError> {
Self::parse_impl(data, length_size, None)
}
/// [`AttributeMessage::parse`] with access to the rest of the file, which
/// is needed when the attribute's datatype or dataspace is *shared* (v2/v3
/// flag bits 0/1) — e.g. an attribute created with a committed datatype.
/// In that case the embedded bytes are a reference to the real message,
/// not the message. Without file access such an attribute is an error
/// rather than a garbage datatype.
pub fn parse_in_file(
data: &[u8],
file_data: &[u8],
offset_size: u8,
length_size: u8,
) -> Result<AttributeMessage, FormatError> {
Self::parse_impl(data, length_size, Some((file_data, offset_size)))
}
fn parse_impl(
data: &[u8],
length_size: u8,
file: Option<(&[u8], u8)>,
) -> Result<AttributeMessage, FormatError> {
ensure_len(data, 0, 2)?;
let version = data[0];
match version {
1 => Self::parse_v1(data, length_size),
2 => Self::parse_v2(data, length_size, file),
3 => Self::parse_v3(data, length_size, file),
2 => Self::parse_v2(data, length_size),
3 => Self::parse_v3(data, length_size),
_ => Err(FormatError::InvalidAttributeVersion(version)),
}
}
/// The bytes of an embedded datatype/dataspace message, following the
/// shared-message reference when `shared` is set.
fn embedded_message<'a>(
bytes: &'a [u8],
shared: bool,
msg_type: MessageType,
length_size: u8,
file: Option<(&[u8], u8)>,
) -> Result<Cow<'a, [u8]>, FormatError> {
if !shared {
return Ok(Cow::Borrowed(bytes));
}
let (file_data, offset_size) = file.ok_or(FormatError::UnresolvedSharedMessage)?;
let shared_ref = shared_message::parse_shared_ref(bytes, offset_size)?;
shared_message::resolve_shared_message(
file_data,
&shared_ref,
msg_type,
offset_size,
length_size,
)
.map(Cow::Owned)
}
fn parse_v1(data: &[u8], length_size: u8) -> Result<AttributeMessage, FormatError> {
// version(1) + reserved(1) + name_size(2) + datatype_size(2) + dataspace_size(2) = 8
ensure_len(data, 0, 8)?;
@@ -143,13 +94,7 @@ impl AttributeMessage {
})
}
fn parse_v2(
data: &[u8],
length_size: u8,
file: Option<(&[u8], u8)>,
) -> Result<AttributeMessage, FormatError> {
// Flags: bit 0 = datatype is shared, bit 1 = dataspace is shared.
let flags = data.get(1).copied().unwrap_or(0);
fn parse_v2(data: &[u8], length_size: u8) -> Result<AttributeMessage, FormatError> {
// version(1) + flags(1) + name_size(2) + datatype_size(2) + dataspace_size(2) = 8
ensure_len(data, 0, 8)?;
let name_size = u16::from_le_bytes([data[2], data[3]]) as usize;
@@ -165,26 +110,12 @@ impl AttributeMessage {
// Datatype (NO padding)
ensure_len(data, pos, datatype_size)?;
let dt_bytes = Self::embedded_message(
&data[pos..pos + datatype_size],
flags & 0x01 != 0,
MessageType::Datatype,
length_size,
file,
)?;
let (datatype, _) = Datatype::parse(&dt_bytes)?;
let (datatype, _) = Datatype::parse(&data[pos..pos + datatype_size])?;
pos += datatype_size;
// Dataspace (NO padding)
ensure_len(data, pos, dataspace_size)?;
let ds_bytes = Self::embedded_message(
&data[pos..pos + dataspace_size],
flags & 0x02 != 0,
MessageType::Dataspace,
length_size,
file,
)?;
let dataspace = Dataspace::parse(&ds_bytes, length_size)?;
let dataspace = Dataspace::parse(&data[pos..pos + dataspace_size], length_size)?;
pos += dataspace_size;
let raw_data = compute_raw_data(data, pos, &dataspace, &datatype);
@@ -197,13 +128,7 @@ impl AttributeMessage {
})
}
fn parse_v3(
data: &[u8],
length_size: u8,
file: Option<(&[u8], u8)>,
) -> Result<AttributeMessage, FormatError> {
// Flags: bit 0 = datatype is shared, bit 1 = dataspace is shared.
let flags = data.get(1).copied().unwrap_or(0);
fn parse_v3(data: &[u8], length_size: u8) -> Result<AttributeMessage, FormatError> {
// version(1) + flags(1) + name_size(2) + datatype_size(2) + dataspace_size(2) + encoding(1) = 9
ensure_len(data, 0, 9)?;
let name_size = u16::from_le_bytes([data[2], data[3]]) as usize;
@@ -220,26 +145,12 @@ impl AttributeMessage {
// Datatype (NO padding)
ensure_len(data, pos, datatype_size)?;
let dt_bytes = Self::embedded_message(
&data[pos..pos + datatype_size],
flags & 0x01 != 0,
MessageType::Datatype,
length_size,
file,
)?;
let (datatype, _) = Datatype::parse(&dt_bytes)?;
let (datatype, _) = Datatype::parse(&data[pos..pos + datatype_size])?;
pos += datatype_size;
// Dataspace (NO padding)
ensure_len(data, pos, dataspace_size)?;
let ds_bytes = Self::embedded_message(
&data[pos..pos + dataspace_size],
flags & 0x02 != 0,
MessageType::Dataspace,
length_size,
file,
)?;
let dataspace = Dataspace::parse(&ds_bytes, length_size)?;
let dataspace = Dataspace::parse(&data[pos..pos + dataspace_size], length_size)?;
pos += dataspace_size;
let raw_data = compute_raw_data(data, pos, &dataspace, &datatype);
@@ -415,20 +326,10 @@ pub fn extract_attributes_full(
offset_size,
length_size,
)?;
let attr = AttributeMessage::parse_in_file(
&resolved_data,
file_data,
offset_size,
length_size,
)?;
let attr = AttributeMessage::parse(&resolved_data, length_size)?;
attrs.push(attr);
} else {
let attr = AttributeMessage::parse_in_file(
&msg.data,
file_data,
offset_size,
length_size,
)?;
let attr = AttributeMessage::parse(&msg.data, length_size)?;
attrs.push(attr);
}
}
@@ -498,8 +399,7 @@ fn extract_dense_attributes(
let attr_data = fh.read_managed_object(file_data, id_bytes, offset_size)?;
// The data in the heap is a complete attribute message
let attr =
AttributeMessage::parse_in_file(&attr_data, file_data, offset_size, length_size)?;
let attr = AttributeMessage::parse(&attr_data, length_size)?;
attrs.push(attr);
}
@@ -572,13 +472,14 @@ mod tests {
// Name padded to 8 bytes
data.extend_from_slice(name);
if data.len() % 8 != 0 || data.len() == 8 {
while data.len() % 8 != 0 || data.len() == 8 {
// Pad name to 8-byte boundary from start of name
let name_start = 8;
let name_padded = pad8(name_size);
while data.len() < name_start + name_padded {
data.push(0);
}
break;
}
// Datatype padded to 8 bytes
@@ -848,11 +749,11 @@ mod tests {
data.extend_from_slice(name);
data.extend_from_slice(&dt_bytes);
data.extend_from_slice(&ds_bytes);
data.extend_from_slice(&3.25f64.to_le_bytes());
data.extend_from_slice(&3.14f64.to_le_bytes());
let attr = AttributeMessage::parse(&data, 8).unwrap();
let vals = attr.read_as_f64().unwrap();
assert_eq!(vals, vec![3.25]);
assert_eq!(vals, vec![3.14]);
}
#[test]
-1
View File
@@ -416,7 +416,6 @@ fn header_max_total_records(max_leaf_nrec: u64, depth: u16) -> u64 {
mod tests {
use super::*;
#[allow(clippy::too_many_arguments)]
fn build_btree_v2_header(
tree_type: u8,
node_size: u32,
+29 -161
View File
@@ -132,47 +132,6 @@ fn ensure_len(data: &[u8], offset: usize, needed: usize) -> Result<(), FormatErr
Ok(())
}
/// `elements * elem_size` for sizes that come from the file. Dataspace and
/// chunk dimensions are untrusted 64-bit fields, so a crafted file can make
/// the plain product wrap to a small number (or to something enormous).
pub(crate) fn checked_byte_len(elements: u64, elem_size: usize) -> Result<usize, FormatError> {
usize::try_from(elements)
.ok()
.and_then(|n| n.checked_mul(elem_size))
.ok_or_else(|| {
FormatError::Overflow(format!(
"{elements} elements of {elem_size} bytes exceeds the addressable size"
))
})
}
/// Product of chunk dimensions times the element size, overflow-checked.
pub(crate) fn checked_chunk_byte_len(
chunk_dims: &[usize],
elem_size: usize,
) -> Result<usize, FormatError> {
chunk_dims
.iter()
.try_fold(elem_size, |acc, &d| acc.checked_mul(d))
.ok_or_else(|| {
FormatError::Overflow(format!(
"chunk dimensions {chunk_dims:?} x {elem_size} bytes exceeds the addressable size"
))
})
}
/// A zero-filled output buffer of `len` bytes. `vec![0; len]` aborts the
/// process when the allocation fails; a size taken from the file must surface
/// as an error instead.
pub(crate) fn alloc_output(len: usize) -> Result<Vec<u8>, FormatError> {
let mut out = Vec::new();
out.try_reserve_exact(len).map_err(|_| {
FormatError::Overflow(format!("cannot allocate {len} bytes for dataset output"))
})?;
out.resize(len, 0);
Ok(out)
}
fn read_offset(data: &[u8], pos: usize, size: u8) -> Result<u64, FormatError> {
let s = size as usize;
if pos.checked_add(s).is_none_or(|end| end > data.len()) {
@@ -362,17 +321,15 @@ pub fn generate_implicit_chunks(
}
/// Read a chunked dataset, decompressing chunks as needed.
/// Every allocated chunk of a chunked dataset, for any supported chunk index,
/// plus the spatial chunk dimensions. Chunks the file never allocated (sparse
/// datasets) are simply absent from the list.
pub fn list_chunks(
pub fn read_chunked_data(
file_data: &[u8],
layout: &DataLayout,
dataspace: &Dataspace,
elem_size: usize,
datatype: &Datatype,
pipeline: Option<&FilterPipeline>,
offset_size: u8,
length_size: u8,
) -> Result<(Vec<ChunkInfo>, Vec<usize>), FormatError> {
) -> Result<Vec<u8>, FormatError> {
let (
chunk_dimensions,
version,
@@ -406,6 +363,8 @@ pub fn list_chunks(
let addr = addr_opt
.ok_or_else(|| FormatError::ChunkedReadError("no address for chunked layout".into()))?;
let elem_size = datatype.type_size() as usize;
// Both v3 and v4 include element size as last dim (rank+1)
let ndims = chunk_dimensions.len();
let rank = ndims
@@ -434,7 +393,7 @@ pub fn list_chunks(
}
(4, Some(1)) => {
// Single chunk — one chunk covering the entire dataset
let chunk_byte_size = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_byte_size: usize = chunk_dims.iter().product::<usize>() * elem_size;
let (csize, fmask) = if let Some(fs) = single_filtered_size {
(fs as u32, single_filter_mask.unwrap_or(0))
} else {
@@ -494,38 +453,10 @@ pub fn list_chunks(
}
};
Ok((chunks, chunk_dims))
}
pub fn read_chunked_data(
file_data: &[u8],
layout: &DataLayout,
dataspace: &Dataspace,
datatype: &Datatype,
pipeline: Option<&FilterPipeline>,
offset_size: u8,
length_size: u8,
) -> Result<Vec<u8>, FormatError> {
let elem_size = datatype.type_size() as usize;
let (chunks, chunk_dims) = list_chunks(
file_data,
layout,
dataspace,
elem_size,
offset_size,
length_size,
)?;
let rank = chunk_dims.len();
let ds_dims: Vec<usize> = dataspace.dimensions.iter().map(|&d| d as usize).collect();
// Assemble output
let total_bytes = checked_byte_len(dataspace.checked_num_elements()?, elem_size)?;
if total_bytes == 0 {
// Also keeps the stride products below in range: with a zero-sized
// dimension the total is 0 even if other dimensions are huge.
return Ok(Vec::new());
}
let mut output = alloc_output(total_bytes)?;
let total_elements = dataspace.num_elements() as usize;
let total_bytes = total_elements * elem_size;
let mut output = vec![0u8; total_bytes];
let mut ds_strides = vec![1usize; rank];
for i in (0..rank.saturating_sub(1)).rev() {
@@ -537,7 +468,8 @@ pub fn read_chunked_data(
chunk_strides[i] = chunk_strides[i + 1] * chunk_dims[i + 1];
}
let chunk_total_bytes = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_total_elements: usize = chunk_dims.iter().product();
let chunk_total_bytes = chunk_total_elements * elem_size;
// Fast path: no filters — copy directly from file_data without intermediate alloc
if pipeline.is_none() {
@@ -691,7 +623,7 @@ pub fn read_chunked_data_cached(
let chunks = match (version, chunk_index_type) {
(3, _) => collect_chunk_info(file_data, addr, ndims, offset_size, length_size)?,
(4, Some(1)) => {
let chunk_byte_size = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_byte_size: usize = chunk_dims.iter().product::<usize>() * elem_size;
let (csize, fmask) = if let Some(fs) = single_filtered_size {
(fs as u32, single_filter_mask.unwrap_or(0))
} else {
@@ -757,13 +689,9 @@ pub fn read_chunked_data_cached(
let chunks = cache.all_indexed_chunks().unwrap_or_default();
// Assemble output
let total_bytes = checked_byte_len(dataspace.checked_num_elements()?, elem_size)?;
if total_bytes == 0 {
// Also keeps the stride products below in range: with a zero-sized
// dimension the total is 0 even if other dimensions are huge.
return Ok(Vec::new());
}
let mut output = alloc_output(total_bytes)?;
let total_elements = dataspace.num_elements() as usize;
let total_bytes = total_elements * elem_size;
let mut output = vec![0u8; total_bytes];
let mut ds_strides = vec![1usize; rank];
for i in (0..rank.saturating_sub(1)).rev() {
@@ -775,7 +703,8 @@ pub fn read_chunked_data_cached(
chunk_strides[i] = chunk_strides[i + 1] * chunk_dims[i + 1];
}
let chunk_total_bytes = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_total_elements: usize = chunk_dims.iter().product();
let chunk_total_bytes = chunk_total_elements * elem_size;
for chunk_info in &chunks {
let coord: Vec<u64> = chunk_info.offsets.iter().take(rank).copied().collect();
@@ -1047,7 +976,7 @@ pub fn read_chunked_data_sweep(
let chunks = match (version, chunk_index_type) {
(3, _) => collect_chunk_info(file_data, addr, ndims, offset_size, length_size)?,
(4, Some(1)) => {
let chunk_byte_size = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_byte_size: usize = chunk_dims.iter().product::<usize>() * elem_size;
let (csize, fmask) = if let Some(fs) = single_filtered_size {
(fs as u32, single_filter_mask.unwrap_or(0))
} else {
@@ -1113,13 +1042,9 @@ pub fn read_chunked_data_sweep(
let chunks = cache.all_indexed_chunks().unwrap_or_default();
// Assemble output
let total_bytes = checked_byte_len(dataspace.checked_num_elements()?, elem_size)?;
if total_bytes == 0 {
// Also keeps the stride products below in range: with a zero-sized
// dimension the total is 0 even if other dimensions are huge.
return Ok(Vec::new());
}
let mut output = alloc_output(total_bytes)?;
let total_elements = dataspace.num_elements() as usize;
let total_bytes = total_elements * elem_size;
let mut output = vec![0u8; total_bytes];
let mut ds_strides = vec![1usize; rank];
for i in (0..rank.saturating_sub(1)).rev() {
@@ -1131,7 +1056,8 @@ pub fn read_chunked_data_sweep(
chunk_strides[i] = chunk_strides[i + 1] * chunk_dims[i + 1];
}
let chunk_total_bytes = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_total_elements: usize = chunk_dims.iter().product();
let chunk_total_bytes = chunk_total_elements * elem_size;
for chunk_info in &chunks {
let coord: Vec<u64> = chunk_info.offsets.iter().take(rank).copied().collect();
@@ -1273,7 +1199,7 @@ pub fn read_chunked_data_indexed(
let chunks = match (version, chunk_index_type) {
(3, _) => collect_chunk_info(file_data, addr, ndims, offset_size, length_size)?,
(4, Some(1)) => {
let chunk_byte_size = checked_chunk_byte_len(&chunk_dims, elem_size)?;
let chunk_byte_size: usize = chunk_dims.iter().product::<usize>() * elem_size;
let (csize, fmask) = if let Some(fs) = single_filtered_size {
(fs as u32, single_filter_mask.unwrap_or(0))
} else {
@@ -1537,64 +1463,6 @@ fn copy_chunk_to_output(
mod tests {
use super::*;
fn simple_space(dimensions: Vec<u64>) -> Dataspace {
Dataspace {
space_type: crate::dataspace::DataspaceType::Simple,
rank: dimensions.len() as u8,
dimensions,
max_dimensions: None,
}
}
#[test]
fn crafted_dimensions_are_errors_not_wraparound() {
// 2^63 * 2 wraps to 0 with a plain product; 2^40 * 2^40 wraps too.
for dims in [
vec![1u64 << 63, 2],
vec![1 << 40, 1 << 40],
vec![u64::MAX, u64::MAX],
] {
let space = simple_space(dims.clone());
assert!(
matches!(space.checked_num_elements(), Err(FormatError::Overflow(_))),
"{dims:?}"
);
// The infallible accessor saturates instead of wrapping.
assert_eq!(space.num_elements(), u64::MAX, "{dims:?}");
}
assert_eq!(simple_space(vec![3, 4]).checked_num_elements().unwrap(), 12);
// A zero-sized dimension makes the whole product 0, not an overflow.
assert_eq!(
simple_space(vec![0, 1 << 40, 1 << 40])
.checked_num_elements()
.unwrap(),
0
);
}
#[test]
fn byte_length_helpers_check_overflow() {
assert_eq!(checked_byte_len(10, 8).unwrap(), 80);
assert!(matches!(
checked_byte_len(u64::MAX, 8),
Err(FormatError::Overflow(_))
));
assert_eq!(checked_chunk_byte_len(&[10, 10], 4).unwrap(), 400);
assert!(matches!(
checked_chunk_byte_len(&[usize::MAX, 2], 4),
Err(FormatError::Overflow(_))
));
}
#[test]
fn unallocatable_output_is_an_error_not_an_abort() {
assert_eq!(alloc_output(16).unwrap(), vec![0u8; 16]);
assert!(matches!(
alloc_output(usize::MAX / 2),
Err(FormatError::Overflow(_))
));
}
fn write_offset(buf: &mut Vec<u8>, val: u64, size: u8) {
match size {
4 => buf.extend_from_slice(&(val as u32).to_le_bytes()),
@@ -1789,9 +1657,9 @@ mod tests {
let chunk_bytes = chunk_size_elems * elem_size; // full chunk allocation
// Write chunk data (full chunk size, padding with zeros)
for (i, value) in values.iter().enumerate().take(end).skip(start) {
for i in start..end {
let byte_offset = data_offset + (i - start) * elem_size;
file_data[byte_offset..byte_offset + 8].copy_from_slice(&value.to_le_bytes());
file_data[byte_offset..byte_offset + 8].copy_from_slice(&values[i].to_le_bytes());
}
chunk_infos.push(ChunkInfo {
@@ -1969,8 +1837,8 @@ mod tests {
for chunk_idx in 0..2 {
let start = chunk_idx * chunk_elems;
let mut chunk_bytes = Vec::new();
for value in values.iter().skip(start).take(chunk_elems) {
chunk_bytes.extend_from_slice(&value.to_le_bytes());
for i in start..start + chunk_elems {
chunk_bytes.extend_from_slice(&values[i].to_le_bytes());
}
let compressed = compress_chunk(&chunk_bytes, &pipeline, elem_size as u32).unwrap();
+13 -17
View File
@@ -475,10 +475,8 @@ fn read_virtual_data(
use crate::selection::Selection;
let elem_size = datatype.type_size() as usize;
let mut out = crate::chunked_read::alloc_output(crate::chunked_read::checked_byte_len(
dataspace.checked_num_elements()?,
elem_size,
)?)?;
let total_elems = dataspace.num_elements() as usize;
let mut out = vec![0u8; total_elems.saturating_mul(elem_size)];
let virtual_dims = &dataspace.dimensions;
@@ -600,7 +598,7 @@ fn read_named_dataset_raw(
}
/// Extract selected elements from a full dataset buffer.
pub fn extract_selection_from_buffer(
fn extract_selection_from_buffer(
full_data: &[u8],
dims: &[u64],
elem_size: usize,
@@ -618,14 +616,12 @@ pub fn extract_selection_from_buffer(
block,
} => {
let rank = dims.len();
let output_elements = count
let output_elements: usize = count
.iter()
.zip(block.iter())
.try_fold(1u64, |acc, (&c, &b)| acc.checked_mul(c.checked_mul(b)?))
.ok_or_else(|| FormatError::Overflow("hyperslab count x block overflows".into()))?;
let mut output = crate::chunked_read::alloc_output(
crate::chunked_read::checked_byte_len(output_elements, elem_size)?,
)?;
.map(|(&c, &b)| (c * b) as usize)
.product();
let mut output = vec![0u8; output_elements * elem_size];
// Compute dataset strides (row-major)
let mut ds_strides = vec![1usize; rank];
@@ -1767,11 +1763,11 @@ mod tests {
fn f16_bits(v: f32) -> u16 {
// Encode a few exact values used by the test.
match v {
0.0 => 0x0000,
1.0 => 0x3c00,
-2.0 => 0xc000,
0.5 => 0x3800,
65504.0 => 0x7bff, // f16 max
x if x == 0.0 => 0x0000,
x if x == 1.0 => 0x3c00,
x if x == -2.0 => 0xc000,
x if x == 0.5 => 0x3800,
x if x == 65504.0 => 0x7bff, // f16 max
_ => panic!("unsupported test value {v}"),
}
}
@@ -2190,7 +2186,7 @@ mod tests {
],
};
let mut raw = Vec::new();
raw.extend_from_slice(&3.25f64.to_le_bytes());
raw.extend_from_slice(&3.14f64.to_le_bytes());
raw.extend_from_slice(&42i32.to_le_bytes());
let field = read_compound_field(&raw, &dt, "id").unwrap();
+16 -32
View File
@@ -1,7 +1,5 @@
//! HDF5 Dataspace message parsing (message type 0x0001).
#[cfg(not(feature = "std"))]
use alloc::format;
#[cfg(not(feature = "std"))]
use alloc::vec::Vec;
@@ -169,27 +167,6 @@ impl Dataspace {
}
}
/// [`Dataspace::num_elements`] with the product overflow-checked. The
/// dimensions are untrusted 64-bit fields; read paths that size a buffer
/// from them must use this one.
pub fn checked_num_elements(&self) -> Result<u64, FormatError> {
match self.space_type {
DataspaceType::Null => Ok(0),
DataspaceType::Scalar => Ok(1),
DataspaceType::Simple if self.dimensions.is_empty() => Ok(0),
DataspaceType::Simple => self
.dimensions
.iter()
.try_fold(1u64, |acc, &d| acc.checked_mul(d))
.ok_or_else(|| {
FormatError::Overflow(format!(
"dataspace dimensions {:?} overflow the element count",
self.dimensions
))
}),
}
}
/// Total number of elements. Scalar = 1, Null = 0.
pub fn num_elements(&self) -> u64 {
match self.space_type {
@@ -199,12 +176,7 @@ impl Dataspace {
if self.dimensions.is_empty() {
0
} else {
// Saturate rather than wrap: a wrapped product could
// under-size a buffer. Size-critical callers use
// `checked_num_elements`.
self.dimensions
.iter()
.fold(1u64, |acc, &d| acc.saturating_mul(d))
self.dimensions.iter().product()
}
}
}
@@ -217,7 +189,11 @@ mod tests {
fn build_v1_dataspace(rank: u8, flags: u8, dims: &[u64], max_dims: Option<&[u64]>) -> Vec<u8> {
let length_size = 8u8;
let mut buf = vec![1, rank, flags, 0]; // version, rank, flags, reserved
let mut buf = Vec::new();
buf.push(1); // version
buf.push(rank);
buf.push(flags);
buf.push(0); // reserved
buf.extend_from_slice(&[0u8; 4]); // reserved(4)
for &d in dims {
buf.extend_from_slice(&d.to_le_bytes());
@@ -238,7 +214,11 @@ mod tests {
dims: &[u64],
max_dims: Option<&[u64]>,
) -> Vec<u8> {
let mut buf = vec![2, rank, flags, type_byte]; // version, rank, flags, type
let mut buf = Vec::new();
buf.push(2); // version
buf.push(rank);
buf.push(flags);
buf.push(type_byte);
for &d in dims {
buf.extend_from_slice(&d.to_le_bytes());
}
@@ -318,7 +298,11 @@ mod tests {
#[test]
fn v1_with_4byte_length() {
let mut buf = vec![1, 1, 0, 0]; // version, rank, flags, reserved
let mut buf = Vec::new();
buf.push(1); // version
buf.push(1); // rank
buf.push(0); // flags
buf.push(0); // reserved
buf.extend_from_slice(&[0u8; 4]); // reserved(4)
buf.extend_from_slice(&10u32.to_le_bytes()); // dim with length_size=4
let ds = Dataspace::parse(&buf, 4).unwrap();
+37 -252
View File
@@ -204,25 +204,11 @@ fn read_uint(data: &[u8], offset: usize, nbytes: usize) -> Result<u64, FormatErr
})
}
/// Maximum recursion depth for nested datatypes (Compound/Enumeration/
/// VariableLength/Array). A crafted file can nest a message-size-capped
/// (65535 byte) datatype message ~8000 levels deep, which would blow the
/// stack — especially on the project's no_std/embedded targets where
/// available stack is a few KB.
const MAX_DATATYPE_DEPTH: u16 = 64;
impl Datatype {
/// Parse a datatype message from raw bytes.
///
/// Returns `(Datatype, bytes_consumed)` for recursive parsing.
pub fn parse(data: &[u8]) -> Result<(Datatype, usize), FormatError> {
Self::parse_with_depth(data, 0)
}
fn parse_with_depth(data: &[u8], depth: u16) -> Result<(Datatype, usize), FormatError> {
if depth >= MAX_DATATYPE_DEPTH {
return Err(FormatError::NestingDepthExceeded);
}
// Minimum header: 4 bytes (class_and_version + 3 bytes bit field) + 4 bytes size = 8
ensure_len(data, 0, 8)?;
@@ -372,8 +358,7 @@ impl Datatype {
pos += name_len;
let byte_offset = read_uint(data, pos, ob)?;
pos += ob;
let (member_dt, consumed) =
Self::parse_with_depth(&data[pos..], depth + 1)?;
let (member_dt, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
members.push(CompoundMember {
name,
@@ -382,29 +367,24 @@ impl Datatype {
});
}
} else if version == 1 || version == 2 {
// v1/v2: name (null-terminated, padded to a multiple of 8
// bytes), offset(4), member datatype. v1 additionally
// carries the legacy per-member array fields between the
// offset and the member datatype: dimensionality(1),
// reserved(3), dim_perm(4), reserved(4), 4 dim sizes(16).
// v1 is what default (non-`latest`) libver bounds emit.
// v1/v2: name, offset(4), dimensionality(1), reserved(3), dim_perm(4),
// reserved_dims(up to 4*4=16), member datatype
for _ in 0..num_members {
let (name, name_len) = read_null_terminated_string(data, pos)?;
let padded = name_len.checked_add(7).ok_or(FormatError::UnexpectedEof {
expected: usize::MAX,
available: data.len(),
})? & !7;
ensure_len(data, pos, padded)?;
pos += padded;
pos += name_len;
// v1: names padded to 8-byte boundary
if version == 1 {
let total_name_bytes = name_len;
let padded = (total_name_bytes + 7) & !7;
pos = pos - name_len + padded;
}
ensure_len(data, pos, 4)?;
let byte_offset = LittleEndian::read_u32(&data[pos..pos + 4]) as u64;
pos += 4;
if version == 1 {
ensure_len(data, pos, 28)?;
pos += 28;
}
let (member_dt, consumed) =
Self::parse_with_depth(&data[pos..], depth + 1)?;
// dimensionality(1) + reserved(3) + dim_perm(4) + 4 dim slots(16) = 24
ensure_len(data, pos, 24)?;
pos += 24;
let (member_dt, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
members.push(CompoundMember {
name,
@@ -435,7 +415,7 @@ impl Datatype {
// Enumeration
let num_members = (bf0 as u16) | ((bf1 as u16) << 8);
// Parse base type
let (base_type, base_consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
let (base_type, base_consumed) = Datatype::parse(&data[pos..])?;
pos += base_consumed;
let base_size = base_type.type_size();
let mut members = Vec::with_capacity(num_members as usize);
@@ -488,7 +468,7 @@ impl Datatype {
} else {
None
};
let (base_type, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
let (base_type, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
Ok((
Datatype::VariableLength {
@@ -514,7 +494,7 @@ impl Datatype {
}
// skip permutation indices
pos += ndims * 4;
let (base_type, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
let (base_type, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
Ok((
Datatype::Array {
@@ -535,7 +515,7 @@ impl Datatype {
dimensions.push(LittleEndian::read_u32(&data[pos..pos + 4]));
pos += 4;
}
let (base_type, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
let (base_type, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
Ok((
Datatype::Array {
@@ -552,39 +532,27 @@ impl Datatype {
}
}
11 => {
// Complex number (HDF5 2.0, datatype version 5). The properties
// are a single base floating-point datatype message; an element
// is two consecutive base-type values (real, imaginary). There
// is no member list. Surface it as the equivalent two-member
// compound `{r, i}` — the same shape h5py writes for numpy
// complex dtypes — so downstream compound readers work as-is.
if version != 5 {
return Err(FormatError::InvalidDatatypeVersion {
class: class_id,
version,
// Complex number — store as compound of two floats internally
// Parse like compound with version 3 and 2 members
// But actually class 11 has no special properties beyond class 6 compound.
// It's just recognized as a separate class. For now parse the 2 members
// as compound.
let num_members = (bf0 as u16) | ((bf1 as u16) << 8);
let mut members = Vec::with_capacity(num_members as usize);
let ob = offset_bytes_for_size(size);
for _ in 0..num_members {
let (name, name_len) = read_null_terminated_string(data, pos)?;
pos += name_len;
let byte_offset = read_uint(data, pos, ob)?;
pos += ob;
let (member_dt, consumed) = Datatype::parse(&data[pos..])?;
pos += consumed;
members.push(CompoundMember {
name,
byte_offset,
datatype: member_dt,
});
}
let (base_type, consumed) = Self::parse_with_depth(&data[pos..], depth + 1)?;
pos += consumed;
let base_size = base_type.type_size();
if base_size.checked_mul(2) != Some(size) {
return Err(FormatError::DataSizeMismatch {
expected: (base_size as usize).saturating_mul(2),
actual: size as usize,
});
}
let members = vec![
CompoundMember {
name: String::from("r"),
byte_offset: 0,
datatype: base_type.clone(),
},
CompoundMember {
name: String::from("i"),
byte_offset: base_size as u64,
datatype: base_type,
},
];
Ok((Datatype::Compound { size, members }, pos))
}
_ => Err(FormatError::InvalidDatatypeClass(class_id)),
@@ -846,39 +814,6 @@ mod tests {
buf
}
/// A crafted datatype message nesting Variable-Length wrappers deeper
/// than `MAX_DATATYPE_DEPTH` must return `NestingDepthExceeded`
/// instead of overflowing the stack.
#[test]
fn nested_variable_length_exceeds_depth_limit() {
// Each VL level is just an 8-byte header (class 9, vl_type=0 =>
// sequence, no padding/charset fields) immediately followed by the
// next level's bytes, terminated by a fixed-point base type.
let levels = MAX_DATATYPE_DEPTH as usize + 10;
let mut data = Vec::new();
for _ in 0..levels {
data.extend_from_slice(&build_dt_header(9, 3, [0, 0, 0], 0));
}
data.extend_from_slice(&build_fixed_point(4, false, false, 0, 32));
let result = Datatype::parse(&data);
assert!(matches!(result, Err(FormatError::NestingDepthExceeded)));
}
/// A datatype nested just within the depth limit must still parse fine.
#[test]
fn nested_variable_length_within_depth_limit_ok() {
let levels = MAX_DATATYPE_DEPTH as usize - 1;
let mut data = Vec::new();
for _ in 0..levels {
data.extend_from_slice(&build_dt_header(9, 3, [0, 0, 0], 0));
}
data.extend_from_slice(&build_fixed_point(4, false, false, 0, 32));
let result = Datatype::parse(&data);
assert!(result.is_ok());
}
#[test]
fn test_fixed_point_u8() {
let data = build_fixed_point(1, false, false, 0, 8);
@@ -1144,156 +1079,6 @@ mod tests {
}
}
/// Real datatype message bytes emitted by h5py 3.16 / HDF5 2.0 with
/// *default* libver bounds for [('x','f8'),('y','f8'),('id','i4')]:
/// compound datatype version 1 (padded names + 28 bytes of legacy
/// per-member array fields).
fn compound_v1_bytes() -> Vec<u8> {
let f64le: [u8; 20] = [
0x11, 0x20, 0x3f, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0x00, 0x34, 0x0b,
0x00, 0x34, 0xff, 0x03, 0x00, 0x00,
];
let i32le: [u8; 12] = [
0x10, 0x08, 0x00, 0x00, 0x04, 0x00, 0x00, 0x00, 0x00, 0x00, 0x20, 0x00,
];
let mut b = vec![0x16, 0x03, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00];
for (name, offset, dt) in [
(&b"x"[..], 0u32, &f64le[..]),
(&b"y"[..], 8, &f64le[..]),
(&b"id"[..], 16, &i32le[..]),
] {
let mut padded = name.to_vec();
padded.resize((name.len() + 1 + 7) & !7, 0);
b.extend_from_slice(&padded);
b.extend_from_slice(&offset.to_le_bytes());
b.extend_from_slice(&[0u8; 28]);
b.extend_from_slice(dt);
}
b
}
fn assert_xyid_compound(dt: Datatype) {
match dt {
Datatype::Compound { size, members } => {
assert_eq!(size, 20);
let got: Vec<(&str, u64, u32)> = members
.iter()
.map(|m| (m.name.as_str(), m.byte_offset, m.datatype.type_size()))
.collect();
assert_eq!(got, vec![("x", 0, 8), ("y", 8, 8), ("id", 16, 4)]);
}
other => panic!("expected Compound, got {other:?}"),
}
}
#[test]
fn test_compound_v1_default_libver() {
let bytes = compound_v1_bytes();
let (dt, consumed) = Datatype::parse(&bytes).unwrap();
assert_eq!(consumed, bytes.len());
assert_xyid_compound(dt);
}
#[test]
fn test_compound_v2_padded_names_no_array_fields() {
// v2 = v1 without the 28 bytes of per-member array fields; names are
// still padded to a multiple of 8 (matches libhdf5's H5O decoder).
let v1 = compound_v1_bytes();
let mut v2 = vec![0x26, 0x03, 0x00, 0x00, 0x14, 0x00, 0x00, 0x00];
let mut pos = 8;
for dt_len in [20usize, 20, 12] {
v2.extend_from_slice(&v1[pos..pos + 8 + 4]); // padded name + offset
pos += 8 + 4 + 28;
v2.extend_from_slice(&v1[pos..pos + dt_len]);
pos += dt_len;
}
let (dt, consumed) = Datatype::parse(&v2).unwrap();
assert_eq!(consumed, v2.len());
assert_xyid_compound(dt);
}
#[test]
fn test_compound_v1_truncated_is_error_not_panic() {
let bytes = compound_v1_bytes();
for cut in 8..bytes.len() {
assert!(Datatype::parse(&bytes[..cut]).is_err(), "cut at {cut}");
}
}
/// Real datatype message bytes emitted by HDF5 2.0 for the native complex
/// type `H5T_COMPLEX_IEEE_F64LE`: class 11, version 5, size 16, followed by
/// the base IEEE f64 datatype message.
const COMPLEX_F64_HDF5_2_0: [u8; 28] = [
0x5b, 0x01, 0x00, 0x00, 0x10, 0x00, 0x00, 0x00, 0x11, 0x20, 0x3f, 0x00, 0x08, 0x00, 0x00,
0x00, 0x00, 0x00, 0x40, 0x00, 0x34, 0x0b, 0x00, 0x34, 0xff, 0x03, 0x00, 0x00,
];
#[test]
fn test_complex_v5_from_hdf5_2_0() {
let (dt, consumed) = Datatype::parse(&COMPLEX_F64_HDF5_2_0).unwrap();
assert_eq!(consumed, COMPLEX_F64_HDF5_2_0.len());
match dt {
Datatype::Compound { size, members } => {
assert_eq!(size, 16);
assert_eq!(members.len(), 2);
assert_eq!((members[0].name.as_str(), members[0].byte_offset), ("r", 0));
assert_eq!((members[1].name.as_str(), members[1].byte_offset), ("i", 8));
for m in &members {
assert!(matches!(
m.datatype,
Datatype::FloatingPoint { size: 8, .. }
));
}
}
other => panic!("expected Compound, got {other:?}"),
}
}
#[test]
fn test_compound_with_complex_member_from_hdf5_2_0() {
// Compound { z: complex f64 @0, k: i64 @16 } as written by HDF5 2.0.
// Regression guard: the complex member must consume exactly its own
// bytes so the following member parses.
let mut bytes = vec![
0x56, 0x02, 0x00, 0x00, 0x18, 0x00, 0x00, 0x00, b'z', 0x00, 0x00,
];
bytes.extend_from_slice(&COMPLEX_F64_HDF5_2_0);
bytes.extend_from_slice(&[b'k', 0x00, 0x10]);
bytes.extend_from_slice(&[
0x10, 0x08, 0x00, 0x00, 0x08, 0x00, 0x00, 0x00, 0x00, 0x00, 0x40, 0x00,
]);
let (dt, consumed) = Datatype::parse(&bytes).unwrap();
assert_eq!(consumed, bytes.len());
match dt {
Datatype::Compound { size, members } => {
assert_eq!(size, 24);
assert_eq!(members.len(), 2);
assert!(matches!(
&members[0].datatype,
Datatype::Compound { size: 16, members } if members.len() == 2
));
assert_eq!(
(members[1].name.as_str(), members[1].byte_offset),
("k", 16)
);
}
other => panic!("expected Compound, got {other:?}"),
}
}
#[test]
fn test_complex_size_mismatch_rejected() {
let mut bytes = COMPLEX_F64_HDF5_2_0;
bytes[4] = 0x0c; // claims 12 bytes, base type is 8
assert!(matches!(
Datatype::parse(&bytes),
Err(FormatError::DataSizeMismatch {
expected: 16,
actual: 12
})
));
}
#[test]
fn test_reference_object() {
let buf = build_dt_header(7, 1, [0, 0, 0], 8);
-30
View File
@@ -114,20 +114,6 @@ pub enum FormatError {
InvalidAttributeInfoVersion(u8),
/// Invalid shared message version.
InvalidSharedMessageVersion(u8),
/// A message is marked shared but was parsed without access to the file,
/// so the reference to the real message could not be followed.
UnresolvedSharedMessage,
/// The dataset's raw data is stored in external files (External Data
/// Files message), which this reader does not follow.
ExternalDataFilesUnsupported,
/// The path goes through an external link (a link into another file),
/// which this reader does not follow.
ExternalLinkUnsupported {
/// The file the link points into.
filename: String,
/// The object path within that file.
object_path: String,
},
/// Invalid SOHM table version.
InvalidSohmTableVersion(u8),
/// Invalid SOHM table signature (expected "SMTB").
@@ -321,22 +307,6 @@ impl fmt::Display for FormatError {
FormatError::InvalidSharedMessageVersion(v) => {
write!(f, "invalid shared message version: {v}")
}
FormatError::ExternalLinkUnsupported {
filename,
object_path,
} => write!(
f,
"path goes through an external link to {object_path} in {filename}, which is \
not supported"
),
FormatError::ExternalDataFilesUnsupported => write!(
f,
"dataset raw data is stored in external file(s), which is not supported"
),
FormatError::UnresolvedSharedMessage => write!(
f,
"message is shared but no file data was available to resolve it"
),
FormatError::InvalidSohmTableVersion(v) => {
write!(f, "invalid SOHM table version: {v}")
}
+24 -44
View File
@@ -54,19 +54,6 @@ fn read_offset(data: &[u8], pos: usize, size: u8) -> Result<u64, FormatError> {
})
}
fn ensure_len(data: &[u8], offset: usize, needed: usize) -> Result<(), FormatError> {
if offset
.checked_add(needed)
.is_none_or(|end| end > data.len())
{
return Err(FormatError::UnexpectedEof {
expected: offset.saturating_add(needed),
available: data.len(),
});
}
Ok(())
}
fn is_undefined_addr(addr: u64, offset_size: u8) -> bool {
match offset_size {
2 => addr == 0xFFFF,
@@ -111,7 +98,12 @@ impl ExtensibleArrayHeader {
// 6 stats fields (each length_size) + index_block_address(offset_size) + checksum(4)
let min_size =
4 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 1 + 6 * length_size as usize + offset_size as usize + 4;
ensure_len(file_data, offset, min_size)?;
if offset + min_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: offset + min_size,
available: file_data.len(),
});
}
let d = &file_data[offset..];
if &d[0..4] != b"EAHD" {
@@ -283,7 +275,12 @@ fn read_data_block_elements(
) -> Result<Vec<ChunkInfo>, FormatError> {
// AEDB: signature(4) + version(1) + client_id(1) + header_address(offset_size)
let db_header_size = 4 + 1 + 1 + offset_size as usize;
ensure_len(file_data, db_offset, db_header_size)?;
if db_offset + db_header_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: db_offset + db_header_size,
available: file_data.len(),
});
}
let d = &file_data[db_offset..];
if &d[0..4] != b"EADB" {
@@ -430,7 +427,12 @@ pub fn read_extensible_array_chunks(
// Parse index block (AEIB)
let ib_offset = header.index_block_address as usize;
let ib_header_size = 4 + 1 + 1 + offset_size as usize; // sig + ver + client + hdr_addr
ensure_len(file_data, ib_offset, ib_header_size)?;
if ib_offset + ib_header_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: ib_offset + ib_header_size,
available: file_data.len(),
});
}
let ib = &file_data[ib_offset..];
if &ib[0..4] != b"EAIB" {
@@ -626,7 +628,12 @@ fn read_super_block(
// AESB: signature(4) + version(1) + client_id(1) + header_address(offset_size)
let sb_header_size = 4 + 1 + 1 + os;
ensure_len(file_data, sb_offset, sb_header_size)?;
if sb_offset + sb_header_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: sb_offset + sb_header_size,
available: file_data.len(),
});
}
if &file_data[sb_offset..sb_offset + 4] != b"EASB" {
return Err(FormatError::ChunkedReadError(
@@ -752,33 +759,6 @@ mod tests {
assert!(result.is_err());
}
/// A near-`usize::MAX` offset must error cleanly, not overflow/panic.
#[test]
fn parse_rejects_offset_overflow() {
let buf = vec![0u8; 64];
let result = ExtensibleArrayHeader::parse(&buf, usize::MAX - 4, 8, 8);
assert!(result.is_err());
}
/// A near-`usize::MAX` index block address must error cleanly, not overflow/panic.
#[test]
fn read_rejects_index_block_offset_overflow() {
let header = ExtensibleArrayHeader {
client_id: 0,
element_size: 8,
max_nelmts_bits: 10,
idx_blk_elmts: 2,
min_dblk_nelmts: 4,
super_blk_min_nelmts: 2,
max_dblk_nelmts_bits: 8,
num_elements: 5,
index_block_address: (usize::MAX - 4) as u64,
};
let buf = vec![0u8; 64];
let r = read_extensible_array_chunks(&buf, &header, &[100], &[20], 8, 8, 8);
assert!(r.is_err());
}
#[test]
fn parse_header_invalid_version() {
let mut buf = vec![0u8; 256];
-407
View File
@@ -1,407 +0,0 @@
//! Fill Value messages (0x0005, and the old 0x0004) and applying them on read.
//!
//! HDF5 allocates storage lazily: a chunk nobody wrote to does not exist in the
//! file, and a contiguous dataset nobody wrote to has no data address at all.
//! Reading such a region must yield the dataset's *fill value* (zeros unless
//! the creator chose otherwise). The readers in [`crate::chunked_read`] leave
//! those regions zeroed; [`apply_to_unallocated_chunks`] then overwrites exactly
//! the chunk-grid cells that are absent from the chunk index — so it can never
//! mistake a stored zero for a hole — and is skipped entirely in the common
//! case of a zero fill value.
#[cfg(not(feature = "std"))]
use alloc::{format, vec, vec::Vec};
use crate::chunked_read::{alloc_output, checked_byte_len, list_chunks};
use crate::data_layout::DataLayout;
use crate::dataspace::Dataspace;
use crate::error::FormatError;
use crate::message_type::MessageType;
use crate::object_header::HeaderMessage;
/// Largest fill value accepted. A fill value is one element of the dataset's
/// datatype; this only bounds the allocation driven by the message's size field.
const MAX_FILL_VALUE_SIZE: usize = 1 << 20;
/// Parse a Fill Value message, returning the user-defined fill value bytes, or
/// `None` when the dataset uses the default (all zeros) or has the fill value
/// explicitly undefined.
pub fn parse_fill_value(msg: &HeaderMessage) -> Result<Option<Vec<u8>>, FormatError> {
let data = msg.data.as_slice();
let value_at = |pos: usize| -> Result<Option<Vec<u8>>, FormatError> {
let size_bytes = data.get(pos..pos + 4).ok_or(FormatError::UnexpectedEof {
expected: pos + 4,
available: data.len(),
})?;
let size = u32::from_le_bytes([size_bytes[0], size_bytes[1], size_bytes[2], size_bytes[3]])
as usize;
if size == 0 {
return Ok(None);
}
if size > MAX_FILL_VALUE_SIZE {
return Err(FormatError::Overflow(format!(
"fill value of {size} bytes exceeds the {MAX_FILL_VALUE_SIZE}-byte limit"
)));
}
let start = pos + 4;
let value =
data.get(start..start.saturating_add(size))
.ok_or(FormatError::UnexpectedEof {
expected: start.saturating_add(size),
available: data.len(),
})?;
Ok(Some(value.to_vec()))
};
match msg.msg_type {
// Old fill value message: size(4), value.
MessageType::FillValueOld => value_at(0),
MessageType::FillValue => {
let version = *data.first().ok_or(FormatError::UnexpectedEof {
expected: 1,
available: 0,
})?;
match version {
// version, alloc time, write time, defined, [size, value]
1 | 2 => {
let defined = *data.get(3).ok_or(FormatError::UnexpectedEof {
expected: 4,
available: data.len(),
})?;
if version == 2 && defined == 0 {
Ok(None)
} else if data.len() < 8 && version == 1 {
// v1 always carries a size, but tolerate its absence.
Ok(None)
} else {
value_at(4)
}
}
// version, flags (bit 4 = undefined, bit 5 = defined), [size, value]
3 => {
let flags = *data.get(1).ok_or(FormatError::UnexpectedEof {
expected: 2,
available: data.len(),
})?;
if flags & 0x10 != 0 || flags & 0x20 == 0 {
Ok(None)
} else {
value_at(2)
}
}
v => Err(FormatError::UnsupportedVersion(v)),
}
}
_ => Ok(None),
}
}
/// The fill value that applies to a dataset given its header messages. The new
/// message wins over the old one when both are present.
pub fn dataset_fill_value(messages: &[HeaderMessage]) -> Result<Option<Vec<u8>>, FormatError> {
for wanted in [MessageType::FillValue, MessageType::FillValueOld] {
if let Some(msg) = messages.iter().find(|m| m.msg_type == wanted) {
if crate::shared_message::is_shared(msg.flags) {
// A shared fill value is legal but vanishingly rare; treat it
// as the default rather than misparsing the reference.
return Ok(None);
}
if let Some(value) = parse_fill_value(msg)? {
return Ok(Some(value));
}
}
}
Ok(None)
}
/// `true` when a fill value is absent or all zeros, i.e. identical to what the
/// readers already produce for unallocated storage.
pub fn is_default(fill: Option<&[u8]>) -> bool {
fill.is_none_or(|f| f.iter().all(|&b| b == 0))
}
/// A whole dataset's worth of fill value: what reading a dataset with no
/// allocated storage at all must return.
pub fn filled_dataset(
dataspace: &Dataspace,
elem_size: usize,
fill: Option<&[u8]>,
) -> Result<Vec<u8>, FormatError> {
let total = checked_byte_len(dataspace.checked_num_elements()?, elem_size)?;
let mut out = alloc_output(total)?;
if let Some(fill) = fill.filter(|f| f.len() == elem_size && !is_default(Some(f))) {
for element in out.chunks_exact_mut(elem_size) {
element.copy_from_slice(fill);
}
}
Ok(out)
}
/// Whether the layout has any storage in the file at all. A dataset that was
/// created but never written to has none.
pub fn has_storage(layout: &DataLayout) -> bool {
!matches!(
layout,
DataLayout::Contiguous { address: None, .. }
| DataLayout::Chunked {
btree_address: None,
..
}
)
}
/// Run a full-dataset `read`, giving unallocated storage its fill value: a
/// dataset with no storage at all reads as entirely fill value (instead of
/// failing), and a chunked dataset has the fill value written into every
/// chunk the file never allocated.
#[allow(clippy::too_many_arguments)]
pub fn read_full_with_fill<E: From<FormatError>>(
messages: &[HeaderMessage],
file_data: &[u8],
layout: &DataLayout,
dataspace: &Dataspace,
elem_size: usize,
offset_size: u8,
length_size: u8,
read: impl FnOnce() -> Result<Vec<u8>, E>,
) -> Result<Vec<u8>, E> {
// A dataset with external raw data also has no data address in this
// file. It is NOT unallocated — its values live elsewhere — so it must
// never be answered with the fill value.
if messages
.iter()
.any(|m| m.msg_type == MessageType::ExternalDataFiles)
{
return Err(FormatError::ExternalDataFilesUnsupported.into());
}
let fill = dataset_fill_value(messages)?;
if !has_storage(layout) {
return Ok(filled_dataset(dataspace, elem_size, fill.as_deref())?);
}
let mut output = read()?;
apply_to_unallocated_chunks(
&mut output,
file_data,
layout,
dataspace,
elem_size,
fill.as_deref(),
offset_size,
length_size,
)?;
Ok(output)
}
/// Overwrite, in a fully read chunked dataset `output`, every region whose
/// chunk was never allocated with `fill`. No-op for non-chunked layouts, a
/// default fill value, or a fill value whose size doesn't match the element.
#[allow(clippy::too_many_arguments)]
pub fn apply_to_unallocated_chunks(
output: &mut [u8],
file_data: &[u8],
layout: &DataLayout,
dataspace: &Dataspace,
elem_size: usize,
fill: Option<&[u8]>,
offset_size: u8,
length_size: u8,
) -> Result<(), FormatError> {
let Some(fill) = fill.filter(|f| f.len() == elem_size && !is_default(Some(f))) else {
return Ok(());
};
if !matches!(layout, DataLayout::Chunked { .. }) || elem_size == 0 {
return Ok(());
}
let (chunks, chunk_dims) = list_chunks(
file_data,
layout,
dataspace,
elem_size,
offset_size,
length_size,
)?;
let rank = chunk_dims.len();
let ds_dims: Vec<usize> = dataspace.dimensions.iter().map(|&d| d as usize).collect();
if rank == 0 || ds_dims.len() != rank || chunk_dims.contains(&0) {
return Ok(());
}
// Row-major strides over the dataset and over the chunk grid.
let mut ds_strides = vec![1usize; rank];
for i in (0..rank - 1).rev() {
ds_strides[i] = ds_strides[i + 1].saturating_mul(ds_dims[i + 1]);
}
let grid: Vec<usize> = ds_dims
.iter()
.zip(&chunk_dims)
.map(|(&d, &c)| d.div_ceil(c))
.collect();
let cells = grid
.iter()
.try_fold(1usize, |acc, &g| acc.checked_mul(g))
.ok_or_else(|| FormatError::Overflow("chunk grid size overflows".into()))?;
if cells == 0 {
return Ok(());
}
let mut allocated = vec![false; cells];
for chunk in &chunks {
// Undefined address: the index has a slot for the chunk but no storage.
if chunk.address == u64::MAX || chunk.offsets.len() < rank {
continue;
}
let mut cell = 0usize;
let mut in_range = true;
for d in 0..rank {
let coord = chunk.offsets[d] as usize / chunk_dims[d];
if coord >= grid[d] {
in_range = false;
break;
}
cell = cell * grid[d] + coord;
}
if in_range {
allocated[cell] = true;
}
}
let mut coord = vec![0usize; rank];
for (cell, is_allocated) in allocated.iter().enumerate() {
if *is_allocated {
continue;
}
// Decode the cell index into grid coordinates.
let mut rem = cell;
for d in (0..rank).rev() {
coord[d] = rem % grid[d];
rem /= grid[d];
}
fill_cell(
output,
&coord,
&chunk_dims,
&ds_dims,
&ds_strides,
elem_size,
fill,
);
}
Ok(())
}
/// Fill the part of chunk-grid cell `coord` that lies inside the dataset.
fn fill_cell(
output: &mut [u8],
coord: &[usize],
chunk_dims: &[usize],
ds_dims: &[usize],
ds_strides: &[usize],
elem_size: usize,
fill: &[u8],
) {
let rank = coord.len();
let start: Vec<usize> = (0..rank).map(|d| coord[d] * chunk_dims[d]).collect();
let end: Vec<usize> = (0..rank)
.map(|d| (start[d] + chunk_dims[d]).min(ds_dims[d]))
.collect();
if (0..rank).any(|d| start[d] >= end[d]) {
return;
}
// Walk every row (all dims but the last) and fill the run along the last.
let run = end[rank - 1] - start[rank - 1];
let mut idx = start.clone();
loop {
let first: usize = (0..rank).map(|d| idx[d] * ds_strides[d]).sum();
let from = first * elem_size;
let to = from + run * elem_size;
if let Some(region) = output.get_mut(from..to) {
for element in region.chunks_exact_mut(elem_size) {
element.copy_from_slice(fill);
}
}
// Advance the odometer over dims 0..rank-1.
let mut d = rank - 1;
loop {
if d == 0 {
return;
}
d -= 1;
idx[d] += 1;
if idx[d] < end[d] {
break;
}
idx[d] = start[d];
}
}
}
#[cfg(test)]
mod tests {
use super::*;
fn msg(msg_type: MessageType, data: &[u8]) -> HeaderMessage {
HeaderMessage {
msg_type,
size: data.len(),
flags: 0,
creation_order: None,
data: data.to_vec(),
}
}
#[test]
fn parses_v3_defined_undefined_and_default() {
// Real message for h5py `fillvalue=-1` on an i4 dataset (HDF5 2.0).
let defined = msg(
MessageType::FillValue,
&[3, 0x2b, 4, 0, 0, 0, 0xff, 0xff, 0xff, 0xff],
);
assert_eq!(parse_fill_value(&defined).unwrap(), Some(vec![0xff; 4]));
let default = msg(MessageType::FillValue, &[3, 0x0a]);
assert_eq!(parse_fill_value(&default).unwrap(), None);
let undefined = msg(MessageType::FillValue, &[3, 0x19]);
assert_eq!(parse_fill_value(&undefined).unwrap(), None);
}
#[test]
fn parses_v2_and_old_messages() {
let v2 = msg(MessageType::FillValue, &[2, 2, 2, 1, 2, 0, 0, 0, 7, 0]);
assert_eq!(parse_fill_value(&v2).unwrap(), Some(vec![7, 0]));
let v2_undefined = msg(MessageType::FillValue, &[2, 2, 2, 0]);
assert_eq!(parse_fill_value(&v2_undefined).unwrap(), None);
let old = msg(MessageType::FillValueOld, &[2, 0, 0, 0, 9, 9]);
assert_eq!(parse_fill_value(&old).unwrap(), Some(vec![9, 9]));
}
#[test]
fn truncated_or_oversized_fill_is_an_error() {
let short = msg(MessageType::FillValue, &[3, 0x29, 4, 0, 0, 0, 0xff]);
assert!(parse_fill_value(&short).is_err());
let huge = msg(MessageType::FillValue, &[3, 0x29, 0xff, 0xff, 0xff, 0x7f]);
assert!(matches!(
parse_fill_value(&huge),
Err(FormatError::Overflow(_))
));
}
#[test]
fn fill_cell_clips_edge_chunks_in_2d() {
// 3x5 dataset, 2x2 chunks; fill grid cell (1, 2): rows 2..3, cols 4..5.
let mut out = vec![0u8; 15];
fill_cell(&mut out, &[1, 2], &[2, 2], &[3, 5], &[5, 1], 1, &[9]);
let mut expected = vec![0u8; 15];
expected[2 * 5 + 4] = 9;
assert_eq!(out, expected);
// Interior cell (0, 1): rows 0..2, cols 2..4.
let mut out = vec![0u8; 15];
fill_cell(&mut out, &[0, 1], &[2, 2], &[3, 5], &[5, 1], 1, &[7]);
let filled: Vec<usize> = out
.iter()
.enumerate()
.filter(|(_, b)| **b == 7)
.map(|(i, _)| i)
.collect();
assert_eq!(filled, [2, 3, 7, 8]);
}
}
+15 -21
View File
@@ -1045,30 +1045,24 @@ fn pcodec_compress(data: &[u8], element_size: usize) -> Result<Vec<u8>, FormatEr
match element_size {
4 => {
let nums: Vec<f32> = data
.as_chunks::<4>()
.0
.iter()
.map(|b| f32::from_le_bytes(*b))
.chunks_exact(4)
.map(|b| f32::from_le_bytes(b.try_into().unwrap()))
.collect();
simple_compress(&nums, &config)
.map_err(|e| FormatError::CompressionError(format!("pco: {e}")))
}
8 => {
let nums: Vec<f64> = data
.as_chunks::<8>()
.0
.iter()
.map(|b| f64::from_le_bytes(*b))
.chunks_exact(8)
.map(|b| f64::from_le_bytes(b.try_into().unwrap()))
.collect();
simple_compress(&nums, &config)
.map_err(|e| FormatError::CompressionError(format!("pco: {e}")))
}
_ => {
let nums: Vec<u32> = data
.as_chunks::<4>()
.0
.iter()
.map(|b| u32::from_le_bytes(*b))
.chunks_exact(4)
.map(|b| u32::from_le_bytes(b.try_into().unwrap()))
.collect();
simple_compress(&nums, &config)
.map_err(|e| FormatError::CompressionError(format!("pco: {e}")))
@@ -1098,7 +1092,11 @@ fn pcodec_decompress(
} else {
MAX_DECOMPRESS_SIZE
};
let n = limit_bytes.checked_div(element_size).unwrap_or(0);
let n = if element_size != 0 {
limit_bytes / element_size
} else {
0
};
match element_size {
4 => {
let mut buf = vec![0f32; n];
@@ -1545,10 +1543,8 @@ mod tests {
fn as_f32(bytes: &[u8]) -> Vec<f32> {
bytes
.as_chunks::<4>()
.0
.iter()
.map(|c| f32::from_le_bytes(*c))
.chunks_exact(4)
.map(|c| f32::from_le_bytes(c.try_into().unwrap()))
.collect()
}
@@ -1582,10 +1578,8 @@ mod tests {
fn as_f64(bytes: &[u8]) -> Vec<f64> {
bytes
.as_chunks::<8>()
.0
.iter()
.map(|c| f64::from_le_bytes(*c))
.chunks_exact(8)
.map(|c| f64::from_le_bytes(c.try_into().unwrap()))
.collect()
}
+12 -38
View File
@@ -47,19 +47,6 @@ fn read_length(data: &[u8], pos: usize, size: u8) -> Result<u64, FormatError> {
read_offset(data, pos, size)
}
fn ensure_len(data: &[u8], offset: usize, needed: usize) -> Result<(), FormatError> {
if offset
.checked_add(needed)
.is_none_or(|end| end > data.len())
{
return Err(FormatError::UnexpectedEof {
expected: offset.saturating_add(needed),
available: data.len(),
});
}
Ok(())
}
fn is_undefined(data: &[u8], pos: usize, size: u8) -> bool {
let s = size as usize;
if pos + s > data.len() {
@@ -79,7 +66,12 @@ impl FixedArrayHeader {
// FAHD signature(4) + version(1) + client_id(1) + element_size(1) +
// max_nelmts_bits(1) + num_elements(length_size) + data_block_addr(offset_size) + checksum(4)
let min_size = 4 + 1 + 1 + 1 + 1 + length_size as usize + offset_size as usize + 4;
ensure_len(file_data, offset, min_size)?;
if offset + min_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: offset + min_size,
available: file_data.len(),
});
}
let d = &file_data[offset..];
if &d[0..4] != b"FAHD" {
@@ -134,7 +126,12 @@ pub fn read_fixed_array_chunks(
// Parse data block header: FADB(4) + version(1) + client_id(1) + header_address(offset_size)
let db_header_size = 4 + 1 + 1 + offset_size as usize;
ensure_len(file_data, db_offset, db_header_size)?;
if db_offset + db_header_size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: db_offset + db_header_size,
available: file_data.len(),
});
}
let d = &file_data[db_offset..];
if &d[0..4] != b"FADB" {
@@ -492,29 +489,6 @@ mod tests {
assert!(r.is_err());
}
/// A near-`usize::MAX` offset must error cleanly, not overflow/panic.
#[test]
fn parse_rejects_offset_overflow() {
let buf = vec![0u8; 64];
let result = FixedArrayHeader::parse(&buf, usize::MAX - 4, 8, 8);
assert!(result.is_err());
}
/// A near-`usize::MAX` data block address must error cleanly, not overflow/panic.
#[test]
fn read_rejects_data_block_offset_overflow() {
let header = FixedArrayHeader {
client_id: 0,
element_size: 8,
max_nelmts_bits: 10,
num_elements: 1,
data_block_address: (usize::MAX - 4) as u64,
};
let buf = vec![0u8; 64];
let r = read_fixed_array_chunks(&buf, &header, &[100], &[20], 8, 8, 8);
assert!(r.is_err());
}
#[test]
fn parse_fixed_array_header_invalid_version() {
let mut buf = vec![0u8; 256];
+3 -1
View File
@@ -184,7 +184,9 @@ mod tests {
buf.extend_from_slice(data);
// Pad to 8 bytes
let padded = pad8(data.len());
buf.resize(buf.len() + (padded - data.len()), 0);
for _ in data.len()..padded {
buf.push(0);
}
}
// Free space marker
-48
View File
@@ -60,54 +60,6 @@ pub fn resolve_v1_group_entries(
Ok(entries)
}
/// Symbol table cache type for a soft link: the scratch pad's first four bytes
/// are the local-heap offset of the link's target path, and the entry's object
/// header address is undefined.
const CACHE_TYPE_SOFT_LINK: u32 = 2;
/// The target path of the soft link called `name` in a v1 group, if any.
pub fn find_v1_soft_link(
file_data: &[u8],
sym_table_msg: &SymbolTableMessage,
name: &str,
offset_size: u8,
length_size: u8,
) -> Result<Option<String>, FormatError> {
let heap = LocalHeap::parse(
file_data,
sym_table_msg.local_heap_address as usize,
offset_size,
length_size,
)?;
let snod_addrs = collect_symbol_table_nodes(
file_data,
sym_table_msg.btree_address,
offset_size,
length_size,
)?;
for snod_addr in snod_addrs {
let snod = SymbolTableNode::parse(file_data, snod_addr as usize, offset_size)?;
for entry in &snod.entries {
if entry.cache_type != CACHE_TYPE_SOFT_LINK {
continue;
}
if heap.read_string(file_data, entry.link_name_offset)? != name {
continue;
}
let value_offset = u32::from_le_bytes([
entry.scratch_pad[0],
entry.scratch_pad[1],
entry.scratch_pad[2],
entry.scratch_pad[3],
]);
return heap
.read_string(file_data, u64::from(value_offset))
.map(Some);
}
}
Ok(None)
}
/// Extract the SymbolTableMessage from an object header's messages.
fn find_symbol_table_message(
obj_header: &ObjectHeader,
+18 -135
View File
@@ -63,15 +63,14 @@ fn resolve_compact_entries(
Ok(entries)
}
/// Visit every link in dense storage (fractal heap + B-tree v2 name index).
fn for_each_dense_link(
/// Resolve entries from dense storage (fractal heap + B-tree v2).
fn resolve_dense_entries(
file_data: &[u8],
link_info: &LinkInfoMessage,
fh_addr: u64,
offset_size: u8,
length_size: u8,
mut visit: impl FnMut(LinkMessage),
) -> Result<(), FormatError> {
) -> Result<Vec<GroupEntry>, FormatError> {
// Parse fractal heap
let fh = FractalHeapHeader::parse(file_data, fh_addr as usize, offset_size, length_size)?;
@@ -82,6 +81,7 @@ fn for_each_dense_link(
let btree_hdr = BTreeV2Header::parse(file_data, btree_addr as usize, offset_size, length_size)?;
let records = collect_btree_v2_records(file_data, &btree_hdr, offset_size, length_size)?;
let mut entries = Vec::new();
for record in &records {
// For type 5 (name index): hash(4) + heap_id(heap_id_length)
// For type 6 (creation order): creation_order(8) + heap_id(heap_id_length)
@@ -98,94 +98,22 @@ fn for_each_dense_link(
// Read managed object from fractal heap
let link_data = fh.read_managed_object(file_data, id_bytes, offset_size)?;
visit(LinkMessage::parse(&link_data, offset_size)?);
}
Ok(())
}
/// Resolve entries from dense storage (fractal heap + B-tree v2).
fn resolve_dense_entries(
file_data: &[u8],
link_info: &LinkInfoMessage,
fh_addr: u64,
offset_size: u8,
length_size: u8,
) -> Result<Vec<GroupEntry>, FormatError> {
let mut entries = Vec::new();
for_each_dense_link(
file_data,
link_info,
fh_addr,
offset_size,
length_size,
|link| {
if let LinkTarget::Hard {
// Parse as Link message
let link = LinkMessage::parse(&link_data, offset_size)?;
if let LinkTarget::Hard {
object_header_address,
} = link.link_target
{
entries.push(GroupEntry {
name: link.name,
object_header_address,
} = link.link_target
{
entries.push(GroupEntry {
name: link.name,
object_header_address,
cache_type: 0,
});
}
},
)?;
Ok(entries)
}
/// The soft or external link called `name` in this group, if there is one.
/// Hard links are what `resolve_group_entries` returns; this is consulted only
/// when a path component isn't among them.
fn find_symbolic_link(
file_data: &[u8],
object_header: &ObjectHeader,
name: &str,
offset_size: u8,
length_size: u8,
) -> Result<Option<LinkTarget>, FormatError> {
if is_v1_group(object_header) {
let Some(sym_msg) = object_header
.messages
.iter()
.find(|m| m.msg_type == MessageType::SymbolTable)
else {
return Ok(None);
};
let stm = SymbolTableMessage::parse(&sym_msg.data, offset_size)?;
return group_v1::find_v1_soft_link(file_data, &stm, name, offset_size, length_size)
.map(|target| target.map(|target_path| LinkTarget::Soft { target_path }));
}
if !is_v2_group(object_header) {
return Ok(None);
}
let is_symbolic = |t: &LinkTarget| !matches!(t, LinkTarget::Hard { .. });
let link_info = find_link_info(object_header, offset_size)?;
let mut found = None;
if let Some(fh_addr) = link_info.fractal_heap_address {
for_each_dense_link(
file_data,
&link_info,
fh_addr,
offset_size,
length_size,
|link| {
if link.name == name && is_symbolic(&link.link_target) {
found = Some(link.link_target);
}
},
)?;
} else {
for msg in &object_header.messages {
if msg.msg_type == MessageType::Link {
let link = LinkMessage::parse(&msg.data, offset_size)?;
if link.name == name && is_symbolic(&link.link_target) {
found = Some(link.link_target);
}
}
cache_type: 0,
});
}
}
Ok(found)
Ok(entries)
}
/// Find and parse the Link Info message from an object header.
@@ -230,19 +158,6 @@ pub fn resolve_path_any(
file_data: &[u8],
superblock: &Superblock,
path: &str,
) -> Result<u64, FormatError> {
resolve_path_following_links(file_data, superblock, path, 0)
}
/// Soft links followed while resolving one path. Guards against link cycles
/// (`a -> b -> a`), which are legal to create.
const MAX_SOFT_LINK_DEPTH: u8 = 16;
fn resolve_path_following_links(
file_data: &[u8],
superblock: &Superblock,
path: &str,
depth: u8,
) -> Result<u64, FormatError> {
let components: Vec<&str> = path.split('/').filter(|s| !s.is_empty()).collect();
if components.is_empty() {
@@ -261,9 +176,7 @@ fn resolve_path_following_links(
for (i, component) in components.iter().enumerate() {
let entries = resolve_group_entries(file_data, &current_header, os, ls)?;
let found = entries
.iter()
.find(|e| e.name == *component && e.object_header_address != u64::MAX);
let found = entries.iter().find(|e| e.name == *component);
match found {
Some(entry) => {
if i == components.len() - 1 {
@@ -273,37 +186,7 @@ fn resolve_path_following_links(
current_header = ObjectHeader::parse(file_data, current_addr as usize, os, ls)?;
}
None => {
return match find_symbolic_link(file_data, &current_header, component, os, ls)? {
Some(LinkTarget::Soft { target_path }) => {
if depth >= MAX_SOFT_LINK_DEPTH {
return Err(FormatError::NestingDepthExceeded);
}
// A relative target is relative to the group holding
// the link; then the rest of the original path.
let mut full = String::new();
if !target_path.starts_with('/') {
for parent in &components[..i] {
full.push('/');
full.push_str(parent);
}
}
full.push('/');
full.push_str(&target_path);
for rest in &components[i + 1..] {
full.push('/');
full.push_str(rest);
}
resolve_path_following_links(file_data, superblock, &full, depth + 1)
}
Some(LinkTarget::External {
filename,
object_path,
}) => Err(FormatError::ExternalLinkUnsupported {
filename,
object_path,
}),
_ => Err(FormatError::PathNotFound(String::from(*component))),
};
return Err(FormatError::PathNotFound(String::from(*component)));
}
}
}
-1
View File
@@ -67,7 +67,6 @@ pub mod ea_writer;
pub mod error;
pub mod extensible_array;
pub mod file_writer;
pub mod fill_value;
pub mod filter_pipeline;
pub mod filters;
mod filters_szip;
+11 -4
View File
@@ -413,8 +413,11 @@ mod tests {
#[test]
fn soft_link() {
let target = "/group1/dataset";
// version, flags (bit 3 = link type present, name size = 1 byte), link type = soft, name length = 4
let mut data = vec![1, 0x08, 1, 4];
let mut data = Vec::new();
data.push(1); // version
data.push(0x08); // flags: bit 3 = link type present, name size = 1 byte (bits 0-1 = 0)
data.push(1); // link type = soft
data.push(4); // name length = 4
data.extend_from_slice(b"link");
data.extend_from_slice(&(target.len() as u16).to_le_bytes());
data.extend_from_slice(target.as_bytes());
@@ -452,8 +455,12 @@ mod tests {
#[test]
fn invalid_link_type() {
// version, flags (bit 3 = link type present), invalid link type = 99, name length = 1, name = 'x'
let data = vec![1, 0x08, 99, 1, b'x'];
let mut data = Vec::new();
data.push(1); // version
data.push(0x08); // flags: bit 3 = link type present
data.push(99); // invalid link type
data.push(1); // name length = 1
data.push(b'x');
let err = LinkMessage::parse(&data, 8).unwrap_err();
assert_eq!(err, FormatError::InvalidLinkType(99));
}
+3 -14
View File
@@ -9,9 +9,6 @@ pub enum MessageType {
Datatype,
FillValueOld,
FillValue,
/// External Data Files (0x0007): the dataset's raw data lives in other
/// files, listed by this message.
ExternalDataFiles,
Link,
DataLayout,
GroupInfo,
@@ -39,7 +36,6 @@ impl MessageType {
0x0004 => MessageType::FillValueOld,
0x0005 => MessageType::FillValue,
0x0006 => MessageType::Link,
0x0007 => MessageType::ExternalDataFiles,
0x0008 => MessageType::DataLayout,
0x000A => MessageType::GroupInfo,
0x000B => MessageType::FilterPipeline,
@@ -64,7 +60,6 @@ impl MessageType {
MessageType::Datatype => 0x0003,
MessageType::FillValueOld => 0x0004,
MessageType::FillValue => 0x0005,
MessageType::ExternalDataFiles => 0x0007,
MessageType::Link => 0x0006,
MessageType::DataLayout => 0x0008,
MessageType::GroupInfo => 0x000A,
@@ -95,7 +90,6 @@ mod tests {
(0x0003, MessageType::Datatype),
(0x0004, MessageType::FillValueOld),
(0x0005, MessageType::FillValue),
(0x0007, MessageType::ExternalDataFiles),
(0x0006, MessageType::Link),
(0x0008, MessageType::DataLayout),
(0x000A, MessageType::GroupInfo),
@@ -125,13 +119,8 @@ mod tests {
#[test]
fn unknown_type_zero_gap() {
// 0x0009 is reserved for the library's own testing; no file uses it.
let mt = MessageType::from_u16(0x0009);
assert_eq!(mt, MessageType::Unknown(0x0009));
// 0x0007 used to be treated as unknown: it is External Data Files.
assert_eq!(
MessageType::from_u16(0x0007),
MessageType::ExternalDataFiles
);
// 0x0007 is not a defined type
let mt = MessageType::from_u16(0x0007);
assert_eq!(mt, MessageType::Unknown(0x0007));
}
}
+6 -15
View File
@@ -73,12 +73,9 @@ pub fn decompress_chunks_lane_partitioned(
let c_addr = chunk_info.address as usize;
let size = chunk_info.chunk_size as usize;
if c_addr
.checked_add(size)
.is_none_or(|end| end > file_data.len())
{
if c_addr + size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: c_addr.saturating_add(size),
expected: c_addr + size,
available: file_data.len(),
});
}
@@ -147,12 +144,9 @@ pub fn decompress_chunks_parallel(
.map(|(index, chunk_info)| {
let c_addr = chunk_info.address as usize;
let size = chunk_info.chunk_size as usize;
if c_addr
.checked_add(size)
.is_none_or(|end| end > file_data.len())
{
if c_addr + size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: c_addr.saturating_add(size),
expected: c_addr + size,
available: file_data.len(),
});
}
@@ -188,12 +182,9 @@ pub fn decompress_chunks_sequential(
for chunk_info in chunks {
let c_addr = chunk_info.address as usize;
let size = chunk_info.chunk_size as usize;
if c_addr
.checked_add(size)
.is_none_or(|end| end > file_data.len())
{
if c_addr + size > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: c_addr.saturating_add(size),
expected: c_addr + size,
available: file_data.len(),
});
}
+1 -1
View File
@@ -509,7 +509,7 @@ mod tests {
#[test]
fn selection_slice_1d() {
let sel = Selection::slice(std::slice::from_ref(&(5..15)));
let sel = Selection::slice(&[5..15]);
assert_eq!(sel.num_elements(&[100]), 10);
assert_eq!(sel.output_shape(&[100]), vec![10]);
}
+64 -104
View File
@@ -16,12 +16,8 @@
//! - SMLI list structure: simple list of shared message entries
//! - B-tree v2 type 7: indexed shared message entries
#[cfg(not(feature = "std"))]
use alloc::borrow::Cow;
#[cfg(not(feature = "std"))]
use alloc::vec::Vec;
#[cfg(feature = "std")]
use std::borrow::Cow;
use crate::btree_v2::{BTreeV2Header, collect_btree_v2_records};
use crate::error::FormatError;
@@ -32,14 +28,6 @@ use crate::object_header::ObjectHeader;
/// Fractal heap ID length for SOHM entries (fixed at 8 bytes).
const FHEAP_ID_LEN: usize = 8;
/// Shared-message `type` values (version 3 encoding).
/// The message is in the file's shared-message (SOHM) fractal heap.
const SHARE_TYPE_SOHM: u8 = 1;
/// The message is in another object's header (a committed/named datatype).
const SHARE_TYPE_COMMITTED: u8 = 2;
/// The message is stored here but is sharable.
const SHARE_TYPE_HERE: u8 = 3;
/// A resolved shared message reference.
#[derive(Debug, Clone)]
pub struct SharedMessageRef {
@@ -47,10 +35,9 @@ pub struct SharedMessageRef {
pub ref_type: u8,
/// Version of the shared message encoding.
pub version: u8,
/// Address of the object header holding the message (committed). Set for
/// every v1/v2 reference and for v3 types 2 and 3.
/// Address of the object header containing the shared message (type 1, 3).
pub object_header_address: Option<u64>,
/// Fractal heap ID for a v3 SOHM (type 1) reference.
/// Fractal heap ID for type 2 (SOHM) references.
pub heap_id: Option<[u8; FHEAP_ID_LEN]>,
}
@@ -159,39 +146,48 @@ pub fn parse_shared_ref(data: &[u8], offset_size: u8) -> Result<SharedMessageRef
let version = data[0];
let ref_type = data[1];
// Layouts (HDF5 spec IV.A.2 "Shared Message", and libhdf5's decoder):
// v1: version, type, reserved(6), address — always "committed"
// v2: version, type, address — always "committed"
// v3: version, type, then a fractal-heap ID if type == SOHM, otherwise
// an address
// Verified against h5py/HDF5 2.0 output, which writes `02 02 <address>`
// for a dataset using a committed datatype under both default and
// `latest` libver bounds.
let address_at = |pos: usize| -> Result<SharedMessageRef, FormatError> {
ensure_len(data, pos, offset_size as usize)?;
Ok(SharedMessageRef {
ref_type,
version,
object_header_address: Some(read_offset(data, pos, offset_size)?),
heap_id: None,
})
};
match version {
1 => address_at(2 + 6),
2 => address_at(2),
3 if ref_type == SHARE_TYPE_SOHM => {
ensure_len(data, 2, FHEAP_ID_LEN)?;
let mut id = [0u8; FHEAP_ID_LEN];
id.copy_from_slice(&data[2..2 + FHEAP_ID_LEN]);
1 | 2 => {
// v1/v2: reserved(6) + address(offset_size)
let pos = 2 + 6; // skip reserved bytes
ensure_len(data, pos, offset_size as usize)?;
let addr = read_offset(data, pos, offset_size)?;
Ok(SharedMessageRef {
ref_type,
version,
object_header_address: None,
heap_id: Some(id),
object_header_address: Some(addr),
heap_id: None,
})
}
3 if ref_type == SHARE_TYPE_COMMITTED || ref_type == SHARE_TYPE_HERE => address_at(2),
3 => Err(FormatError::InvalidSharedMessageVersion(ref_type)),
3 => {
match ref_type {
1 | 3 => {
// type 1/3: message in another object header
// v3 layout: version(1) + type(1) + address(offset_size)
ensure_len(data, 2, offset_size as usize)?;
let addr = read_offset(data, 2, offset_size)?;
Ok(SharedMessageRef {
ref_type,
version,
object_header_address: Some(addr),
heap_id: None,
})
}
2 => {
// type 2: SOHM table (fractal heap ID)
ensure_len(data, 2, FHEAP_ID_LEN)?;
let mut id = [0u8; FHEAP_ID_LEN];
id.copy_from_slice(&data[2..2 + FHEAP_ID_LEN]);
Ok(SharedMessageRef {
ref_type,
version,
object_header_address: None,
heap_id: Some(id),
})
}
_ => Err(FormatError::InvalidSharedMessageVersion(ref_type)),
}
}
_ => Err(FormatError::InvalidSharedMessageVersion(version)),
}
}
@@ -426,35 +422,6 @@ pub fn resolve_sohm_message(
fh_header.read_managed_object(file_data, heap_id, offset_size)
}
/// The payload of an object-header message, following the indirection if the
/// message is *shared* (header flag bit 1).
///
/// A shared message's bytes are not the message itself but a reference to
/// where it lives — e.g. a dataset created with a committed (named) datatype
/// stores only a pointer to that datatype's object header. Every reader of a
/// message that may be shared (datatype, dataspace, fill value, filter
/// pipeline, attribute) must go through this; parsing the reference bytes as
/// the message yields garbage rather than an error.
pub fn message_data<'a>(
file_data: &[u8],
msg: &'a crate::object_header::HeaderMessage,
offset_size: u8,
length_size: u8,
) -> Result<Cow<'a, [u8]>, FormatError> {
if !is_shared(msg.flags) {
return Ok(Cow::Borrowed(&msg.data));
}
let shared_ref = parse_shared_ref(&msg.data, offset_size)?;
resolve_shared_message(
file_data,
&shared_ref,
msg.msg_type,
offset_size,
length_size,
)
.map(Cow::Owned)
}
/// Resolve a shared message to its actual message data.
///
/// For type 1/3 (shared in another object header), reads the target object header
@@ -486,14 +453,14 @@ pub fn resolve_shared_message_with_sohm(
length_size: u8,
sohm_table: Option<&SohmTable>,
) -> Result<Vec<u8>, FormatError> {
// Dispatch on what the reference carries rather than on `ref_type`: v1/v2
// references are always an object-header address whatever their type
// byte says.
match (
shared_ref.object_header_address,
shared_ref.heap_id.as_ref(),
) {
(Some(addr), _) => {
match shared_ref.ref_type {
1 | 3 => {
let addr = shared_ref
.object_header_address
.ok_or(FormatError::UnexpectedEof {
expected: 1,
available: 0,
})?;
let target_header =
ObjectHeader::parse(file_data, addr as usize, offset_size, length_size)?;
for msg in &target_header.messages {
@@ -520,7 +487,11 @@ pub fn resolve_shared_message_with_sohm(
available: 0,
})
}
(None, Some(heap_id)) => {
2 => {
let heap_id = shared_ref
.heap_id
.as_ref()
.ok_or(FormatError::InvalidSharedMessageVersion(2))?;
let table = sohm_table.ok_or(FormatError::InvalidSharedMessageVersion(2))?;
resolve_sohm_message(
file_data,
@@ -531,7 +502,7 @@ pub fn resolve_shared_message_with_sohm(
length_size,
)
}
(None, None) => Err(FormatError::InvalidSharedMessageVersion(
_ => Err(FormatError::InvalidSharedMessageVersion(
shared_ref.ref_type,
)),
}
@@ -551,15 +522,15 @@ mod tests {
}
#[test]
fn parse_v3_committed_ref() {
fn parse_v3_type1_ref() {
let mut data = Vec::new();
data.push(3); // version
data.push(SHARE_TYPE_COMMITTED); // message lives in another object header
data.push(1); // type 1 = shared in another OH
data.extend_from_slice(&0x1234u64.to_le_bytes()); // address
let shared = parse_shared_ref(&data, 8).unwrap();
assert_eq!(shared.version, 3);
assert_eq!(shared.ref_type, SHARE_TYPE_COMMITTED);
assert_eq!(shared.ref_type, 1);
assert_eq!(shared.object_header_address, Some(0x1234));
assert!(shared.heap_id.is_none());
}
@@ -568,7 +539,7 @@ mod tests {
fn parse_v3_type3_ref() {
let mut data = Vec::new();
data.push(3); // version
data.push(SHARE_TYPE_HERE); // stored here but sharable: an address
data.push(3); // type 3 = shared in another OH (v3 encoding)
data.extend_from_slice(&0xABCDu64.to_le_bytes());
let shared = parse_shared_ref(&data, 8).unwrap();
@@ -592,10 +563,10 @@ mod tests {
#[test]
fn parse_v2_ref() {
// v2 dropped v1's six reserved bytes: the address follows the type.
let mut data = Vec::new();
data.push(2); // version
data.push(SHARE_TYPE_COMMITTED);
data.push(0); // type
data.extend_from_slice(&[0u8; 6]); // reserved
data.extend_from_slice(&0x9000u32.to_le_bytes());
let shared = parse_shared_ref(&data, 4).unwrap();
@@ -604,26 +575,15 @@ mod tests {
}
#[test]
fn parse_v2_ref_from_hdf5_2_0() {
// Datatype message of a dataset created with a committed datatype,
// as written by h5py 3.16 / HDF5 2.0 (libver='latest'): header flags
// 0x03 (shared), payload `02 02 <8-byte object header address>`.
let data = [0x02, 0x02, 0xb3, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00, 0x00];
let shared = parse_shared_ref(&data, 8).unwrap();
assert_eq!(shared.object_header_address, Some(0xb3));
assert!(shared.heap_id.is_none());
}
#[test]
fn parse_v3_sohm_ref() {
fn parse_v3_type2_sohm() {
let mut data = Vec::new();
data.push(3); // version
data.push(SHARE_TYPE_SOHM); // message lives in the SOHM fractal heap
data.push(2); // type 2 = SOHM heap
data.extend_from_slice(&[0xAA, 0xBB, 0xCC, 0xDD, 0x11, 0x22, 0x33, 0x44]);
let shared = parse_shared_ref(&data, 8).unwrap();
assert_eq!(shared.version, 3);
assert_eq!(shared.ref_type, SHARE_TYPE_SOHM);
assert_eq!(shared.ref_type, 2);
assert_eq!(shared.object_header_address, None);
assert_eq!(
shared.heap_id,
@@ -632,10 +592,10 @@ mod tests {
}
#[test]
fn parse_v3_sohm_too_short() {
fn parse_v3_type2_too_short() {
let mut data = Vec::new();
data.push(3); // version
data.push(SHARE_TYPE_SOHM);
data.push(2); // type 2 = SOHM heap
data.extend_from_slice(&[0xAA, 0xBB]); // only 2 bytes, need 8
let err = parse_shared_ref(&data, 8).unwrap_err();
@@ -660,7 +620,7 @@ mod tests {
fn parse_four_byte_offsets() {
let mut data = Vec::new();
data.push(3); // version
data.push(SHARE_TYPE_COMMITTED);
data.push(1); // type 1
data.extend_from_slice(&0x1000u32.to_le_bytes());
let shared = parse_shared_ref(&data, 4).unwrap();
+3 -31
View File
@@ -80,12 +80,9 @@ impl SymbolTableNode {
offset_size: u8,
) -> Result<SymbolTableNode, FormatError> {
// signature(4) + version(1) + reserved(1) + number_of_symbols(2) = 8
if offset
.checked_add(8)
.is_none_or(|end| end > file_data.len())
{
if offset + 8 > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: offset.saturating_add(8),
expected: offset + 8,
available: file_data.len(),
});
}
@@ -106,12 +103,7 @@ impl SymbolTableNode {
// Each entry: link_name_offset(os) + obj_hdr_addr(os) + cache_type(4) + reserved(4) + scratch(16)
let entry_size = os + os + 4 + 4 + 16;
let entries_start = offset + 8;
let needed = entries_start.checked_add(num_symbols * entry_size).ok_or(
FormatError::UnexpectedEof {
expected: usize::MAX,
available: file_data.len(),
},
)?;
let needed = entries_start + num_symbols * entry_size;
if needed > file_data.len() {
return Err(FormatError::UnexpectedEof {
expected: needed,
@@ -236,24 +228,4 @@ mod tests {
let err = SymbolTableNode::parse(&data, 0, 8).unwrap_err();
assert_eq!(err, FormatError::InvalidSymbolTableNodeVersion(2));
}
/// A near-`usize::MAX` SNOD offset must error cleanly, not overflow/panic.
#[test]
fn parse_snod_rejects_offset_overflow() {
let data = build_snod(&[], 8);
let result = SymbolTableNode::parse(&data, usize::MAX - 4, 8);
assert!(result.is_err());
}
/// A huge symbol count combined with a large entries_start must not
/// overflow the `needed` size computation.
#[test]
fn parse_snod_rejects_entries_size_overflow() {
let mut data = build_snod(&[], 8);
// num_symbols at offset 6..8 — set to max to blow up entries_start + num_symbols*entry_size
data[6] = 0xFF;
data[7] = 0xFF;
let result = SymbolTableNode::parse(&data, usize::MAX / 2, 8);
assert!(result.is_err());
}
}
+1 -51
View File
@@ -279,43 +279,6 @@ pub(crate) fn build_attr_message(name: &str, value: &AttrValue) -> AttributeMess
dataspace: scalar_ds(),
raw_data: v.to_le_bytes().to_vec(),
},
AttrValue::U64Array(arr) => {
let mut raw = Vec::with_capacity(arr.len() * 8);
for v in arr {
raw.extend_from_slice(&v.to_le_bytes());
}
AttributeMessage {
name: name.to_string(),
datatype: Datatype::FixedPoint {
size: 8,
byte_order: DatatypeByteOrder::LittleEndian,
signed: false,
bit_offset: 0,
bit_precision: 64,
},
dataspace: simple_1d(arr.len() as u64),
raw_data: raw,
}
}
AttrValue::Raw {
datatype,
shape,
data,
} => AttributeMessage {
name: name.to_string(),
datatype: datatype.clone(),
dataspace: if shape.is_empty() {
scalar_ds()
} else {
Dataspace {
space_type: DataspaceType::Simple,
rank: shape.len() as u8,
dimensions: shape.clone(),
max_dimensions: None,
}
},
raw_data: data.clone(),
},
AttrValue::String(s) => {
let bytes = s.as_bytes();
AttributeMessage {
@@ -371,7 +334,7 @@ pub(crate) fn simple_1d(n: u64) -> Dataspace {
// ---- Attribute values ----
/// Attribute values, for both the write API and what reading returns.
/// Convenient attribute values for the write API.
#[derive(Debug, Clone)]
pub enum AttrValue {
F64(f64),
@@ -379,21 +342,8 @@ pub enum AttrValue {
I64(i64),
I64Array(Vec<i64>),
U64(u64),
/// Unsigned integers, kept unsigned so values above `i64::MAX` survive.
U64Array(Vec<u64>),
String(String),
StringArray(Vec<String>),
/// An attribute whose datatype has no dedicated variant above (compound,
/// general enum, complex, reference, opaque, array, ...), carried verbatim
/// so it is never silently lost: the datatype, the dataspace dimensions
/// (empty for a scalar) and the element bytes exactly as stored. Decode
/// `data` with `clawhdf5_format::data_read` (e.g. `read_compound_fields`)
/// against `datatype`. Writing a `Raw` value stores it back unchanged.
Raw {
datatype: Datatype,
shape: Vec<u64>,
data: Vec<u8>,
},
}
// ---- Dataset builder ----
@@ -343,11 +343,7 @@ fn attrs_h5_dataset_scale() {
let scale_attr = find_attribute(&attrs, "scale").expect("scale attr not found");
let vals = scale_attr.read_as_f64().unwrap();
assert_eq!(vals.len(), 1);
// 3.14 here is the literal value baked into the binary fixture (fixtures/attrs.h5),
// not an arbitrary sample value, so it cannot be swapped for another constant.
#[allow(clippy::approx_constant)]
let expected = 3.14;
assert!((vals[0] - expected).abs() < 1e-10);
assert!((vals[0] - 3.14).abs() < 1e-10);
}
#[test]
@@ -560,8 +556,8 @@ fn chunked_deflate_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "data");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 100);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..100 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -571,8 +567,8 @@ fn chunked_shuffle_deflate_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "data");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 100);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..100 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -582,8 +578,8 @@ fn chunked_fletcher32_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "data");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 100);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..100 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -593,10 +589,11 @@ fn chunked_2d_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "matrix");
let values = read_as_f32(&raw, &datatype).unwrap();
assert_eq!(values.len(), 60);
for (i, &v) in values.iter().enumerate() {
for i in 0..60 {
assert!(
(v - i as f32).abs() < 1e-6,
"mismatch at index {i}: got {v}"
(values[i] - i as f32).abs() < 1e-6,
"mismatch at index {i}: got {}",
values[i]
);
}
}
@@ -607,8 +604,8 @@ fn chunked_large_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "big");
let values = read_as_i32(&raw, &datatype).unwrap();
assert_eq!(values.len(), 1000);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as i32, "mismatch at index {i}");
for i in 0..1000 {
assert_eq!(values[i], i as i32, "mismatch at index {i}");
}
}
@@ -618,8 +615,8 @@ fn chunked_nofilter_read_values() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "raw");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 50);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..50 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -649,8 +646,8 @@ fn v4_implicit_read() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "data");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 100);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..100 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -660,8 +657,8 @@ fn v4_fixed_array_read() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "data");
let values = read_as_f64(&raw, &datatype).unwrap();
assert_eq!(values.len(), 100);
for (i, &v) in values.iter().enumerate() {
assert_eq!(v, i as f64, "mismatch at index {i}");
for i in 0..100 {
assert_eq!(values[i], i as f64, "mismatch at index {i}");
}
}
@@ -874,10 +871,11 @@ fn v4_2d_fixed_array_read() {
let (raw, datatype, _) = read_chunked_dataset(file_data, "matrix");
let values = read_as_f32(&raw, &datatype).unwrap();
assert_eq!(values.len(), 60);
for (i, &v) in values.iter().enumerate() {
for i in 0..60 {
assert!(
(v - i as f32).abs() < 1e-6,
"mismatch at index {i}: got {v}"
(values[i] - i as f32).abs() < 1e-6,
"mismatch at index {i}: got {}",
values[i]
);
}
}
@@ -1274,7 +1272,7 @@ fn write_roundtrip_scalar_f64_attr() {
let mut fw = FileWriter::new();
fw.create_dataset("data")
.with_f64_data(&[1.0])
.set_attr("scale", AttrValue::F64(3.25));
.set_attr("scale", AttrValue::F64(3.14));
let bytes = fw.finish().unwrap();
let sig = find_signature(&bytes).unwrap();
@@ -1285,7 +1283,7 @@ fn write_roundtrip_scalar_f64_attr() {
let scale = find_attribute(&attrs, "scale").expect("scale attr not found");
let vals = scale.read_as_f64().unwrap();
assert_eq!(vals.len(), 1);
assert!((vals[0] - 3.25).abs() < 1e-10);
assert!((vals[0] - 3.14).abs() < 1e-10);
}
#[test]
@@ -180,20 +180,15 @@ print('ok')
let output = match output {
Ok(o) if o.status.success() => o,
_ => {
// CI sets CLAWHDF5_REQUIRE_INTEROP=1 so this can't silently skip.
assert!(
!std::env::var("CLAWHDF5_REQUIRE_INTEROP").is_ok_and(|v| v == "1"),
"CLAWHDF5_REQUIRE_INTEROP=1 but python3 with h5py is not available"
);
eprintln!("skipping h5py_object_reference_roundtrip: python3+h5py not available");
return;
}
};
let stdout = String::from_utf8(output.stdout).unwrap();
assert!(
stdout.trim().contains("ok"),
"h5py reference-file generator did not report ok: {stdout}"
);
if !stdout.trim().contains("ok") {
eprintln!("skipping h5py_object_reference_roundtrip: h5py script failed");
return;
}
// Read the file and parse object references
let file_data = std::fs::read(&path).unwrap();
@@ -235,31 +235,17 @@ fn h5py_reads_our_array_dataset() {
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_compound() {
check_h5py_generated_compound("latest", ", libver='latest'");
}
/// Same file written with h5py's default format bounds. HDF5 2.0 raised the
/// default low bound to 1.8, so "default" files exercise different on-disk
/// structures than both `libver='latest'` and pre-2.0 defaults.
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_compound_default_libver() {
check_h5py_generated_compound("default", "");
}
fn check_h5py_generated_compound(tag: &str, libver_kw: &str) {
let path = std::env::temp_dir().join(format!("clawhdf5_h5py_compound_{tag}.h5"));
let path = std::env::temp_dir().join("clawhdf5_h5py_compound.h5");
let gen_script = format!(
r#"
import h5py, numpy as np
dt = np.dtype([('x', 'f8'), ('y', 'f8'), ('id', 'i4')])
data = np.array([(1.0, 2.0, 10), (3.0, 4.0, 20)], dtype=dt)
f = h5py.File('{}', 'w'{})
f = h5py.File('{}', 'w', libver='latest')
f.create_dataset('particles', data=data)
f.close()
"#,
path.display(),
libver_kw
path.display()
);
h5py_read(&path, &gen_script);
@@ -306,102 +292,20 @@ f.close()
assert_eq!(x_vals, vec![1.0, 3.0]);
}
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_native_complex() {
// HDF5 2.0 native complex (datatype class 11, version 5), written through
// h5py's low-level API. Skips when the linked HDF5 predates 2.0.
let path = std::env::temp_dir().join("clawhdf5_h5py_native_complex.h5");
let gen_script = format!(
r#"
import h5py, numpy as np
from h5py import h5t, h5s, h5d, h5f, h5p
if not getattr(h5py.get_config(), 'has_native_complex', False):
print('SKIP')
else:
fapl = h5p.create(h5p.FILE_ACCESS)
fapl.set_libver_bounds(h5f.LIBVER_LATEST, h5f.LIBVER_LATEST)
fid = h5f.create(b'{}', h5f.ACC_TRUNC, fapl=fapl)
t = h5t.COMPLEX_IEEE_F64LE
d = h5d.create(fid, b'z', t, h5s.create_simple((2,)))
d.write(h5s.ALL, h5s.ALL, np.array([1+2j, 3+4j], dtype=np.complex128), mtype=t)
fid.close()
"#,
path.display()
);
if h5py_read(&path, &gen_script) == "SKIP" {
eprintln!("HDF5 < 2.0: no native complex support, skipping");
return;
}
let bytes = std::fs::read(&path).unwrap();
let sig = clawhdf5_format::signature::find_signature(&bytes).unwrap();
let sb = clawhdf5_format::superblock::Superblock::parse(&bytes, sig).unwrap();
let addr = clawhdf5_format::group_v2::resolve_path_any(&bytes, &sb, "z").unwrap();
let hdr = clawhdf5_format::object_header::ObjectHeader::parse(
&bytes,
addr as usize,
sb.offset_size,
sb.length_size,
)
.unwrap();
let msg = |t: clawhdf5_format::message_type::MessageType| {
&hdr.messages.iter().find(|m| m.msg_type == t).unwrap().data
};
let (dt, _) = clawhdf5_format::datatype::Datatype::parse(msg(
clawhdf5_format::message_type::MessageType::Datatype,
))
.unwrap();
let ds = clawhdf5_format::dataspace::Dataspace::parse(
msg(clawhdf5_format::message_type::MessageType::Dataspace),
sb.length_size,
)
.unwrap();
let dl = clawhdf5_format::data_layout::DataLayout::parse(
msg(clawhdf5_format::message_type::MessageType::DataLayout),
sb.offset_size,
sb.length_size,
)
.unwrap();
let raw = clawhdf5_format::data_read::read_raw_data(&bytes, &dl, &ds, &dt).unwrap();
let fields = clawhdf5_format::data_read::read_compound_fields(&raw, &dt).unwrap();
assert_eq!(fields.len(), 2);
let re =
clawhdf5_format::data_read::read_as_f64(&fields[0].raw_data, &fields[0].datatype).unwrap();
let im =
clawhdf5_format::data_read::read_as_f64(&fields[1].raw_data, &fields[1].datatype).unwrap();
assert_eq!((fields[0].name.as_str(), re), ("r", vec![1.0, 3.0]));
assert_eq!((fields[1].name.as_str(), im), ("i", vec![2.0, 4.0]));
}
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_enum() {
check_h5py_generated_enum("latest", ", libver='latest'");
}
/// Same file written with h5py's default format bounds. HDF5 2.0 raised the
/// default low bound to 1.8, so "default" files exercise different on-disk
/// structures than both `libver='latest'` and pre-2.0 defaults.
#[test]
#[ignore = "requires Python h5py module"]
fn read_h5py_generated_enum_default_libver() {
check_h5py_generated_enum("default", "");
}
fn check_h5py_generated_enum(tag: &str, libver_kw: &str) {
let path = std::env::temp_dir().join(format!("clawhdf5_h5py_enum_{tag}.h5"));
let path = std::env::temp_dir().join("clawhdf5_h5py_enum.h5");
let gen_script = format!(
r#"
import h5py, numpy as np
dt = h5py.enum_dtype({{"RED": 0, "GREEN": 1, "BLUE": 2}}, basetype=np.int32)
data = np.array([1, 0, 2, 1], dtype=np.int32)
f = h5py.File('{}', 'w'{})
f = h5py.File('{}', 'w', libver='latest')
f.create_dataset('colors', data=data, dtype=dt)
f.close()
"#,
path.display(),
libver_kw
path.display()
);
h5py_read(&path, &gen_script);
+2 -2
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-gpu"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "GPU-accelerated vector operations for rustyhdf5 using wgpu compute shaders"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "gpu", "wgpu", "compute"]
categories = ["science", "graphics"]
+1 -6
View File
@@ -6,9 +6,6 @@ use crate::shaders;
use bytemuck::Pod;
use wgpu::util::DeviceExt;
/// Upper bound on a single GPU→CPU readback wait.
const READBACK_TIMEOUT: std::time::Duration = std::time::Duration::from_secs(30);
/// GPU-accelerated vector search engine.
///
/// Upload vectors once, then run many searches against them.
@@ -1036,12 +1033,10 @@ impl GpuAccelerator {
slice.map_async(wgpu::MapMode::Read, move |result| {
let _ = tx.send(result);
});
// Bounded wait: a wedged driver must surface as an error, not hang
// the caller forever.
self.device
.poll(wgpu::PollType::Wait {
submission_index: None,
timeout: Some(READBACK_TIMEOUT),
timeout: None,
})
.map_err(|e| GpuError::BufferMap(format!("device poll failed: {e}")))?;
rx.recv()
+2 -36
View File
@@ -6,41 +6,9 @@
mod tests {
use clawhdf5_gpu::{GpuAccelerator, GpuError};
/// Serialises GPU access across tests. The harness runs tests on many
/// threads; letting each create its own wgpu instance + device (with
/// adapter-maximum limits) at the same time can wedge the driver and hang
/// the whole suite, so every test holds this lock while it owns a device.
static GPU_LOCK: std::sync::Mutex<()> = std::sync::Mutex::new(());
fn gpu_lock() -> std::sync::MutexGuard<'static, ()> {
// A panicking test poisons the lock; the guarded state is `()`.
GPU_LOCK.lock().unwrap_or_else(|e| e.into_inner())
}
/// A `GpuAccelerator` plus the lock that keeps other tests off the GPU.
/// Field order matters: the device is dropped before the lock is released.
struct LockedGpu {
gpu: GpuAccelerator,
_guard: std::sync::MutexGuard<'static, ()>,
}
impl std::ops::Deref for LockedGpu {
type Target = GpuAccelerator;
fn deref(&self) -> &GpuAccelerator {
&self.gpu
}
}
impl std::ops::DerefMut for LockedGpu {
fn deref_mut(&mut self) -> &mut GpuAccelerator {
&mut self.gpu
}
}
fn skip_if_no_gpu() -> Option<LockedGpu> {
let guard = gpu_lock();
fn skip_if_no_gpu() -> Option<GpuAccelerator> {
match GpuAccelerator::new() {
Ok(gpu) => Some(LockedGpu { gpu, _guard: guard }),
Ok(gpu) => Some(gpu),
Err(_) => {
eprintln!("SKIPPED: no GPU available");
None
@@ -101,7 +69,6 @@ mod tests {
#[test]
fn test_gpu_availability_detection() {
// Should not panic regardless of GPU presence
let _guard = gpu_lock();
let available = GpuAccelerator::is_available();
eprintln!("GPU available: {available}");
}
@@ -458,7 +425,6 @@ mod tests {
#[test]
fn test_graceful_no_gpu_fallback() {
// This test just demonstrates the pattern — it always passes
let _guard = gpu_lock();
match GpuAccelerator::new() {
Ok(gpu) => {
eprintln!("GPU found: {}", gpu.device_info());
+3 -3
View File
@@ -1,16 +1,16 @@
[package]
name = "clawhdf5-io"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "I/O abstraction layer for rustyhdf5"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "io", "science", "data"]
categories = ["filesystem", "science"]
[dependencies]
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
memmap2 = { version = "0.9", optional = true }
libc = { version = "0.2", optional = true }
tokio = { version = "1", features = ["fs", "io-util"], optional = true }
+8 -24
View File
@@ -59,16 +59,11 @@ pub trait AsyncHDF5Read: Send + Sync {
/// Async file-backed reader using tokio for non-blocking I/O.
///
/// Opens a file and reads it asynchronously. The underlying file handle is
/// opened once (lazily, on first access) and cached for the lifetime of this
/// reader, so repeated granular `read_at` calls reuse the open descriptor
/// and cached length instead of paying an open+stat syscall pair every time.
/// The handle is guarded by a mutex, which also correctly serializes the
/// seek-then-read pairs of concurrent callers sharing the one file position.
/// Opens a file and reads it asynchronously. The file is read into memory
/// on first access, making subsequent operations fast.
#[derive(Debug)]
pub struct AsyncFileReader {
path: std::path::PathBuf,
handle: tokio::sync::Mutex<Option<(tokio::fs::File, u64)>>,
}
impl AsyncFileReader {
@@ -78,7 +73,6 @@ impl AsyncFileReader {
pub fn new<P: AsRef<Path>>(path: P) -> Self {
Self {
path: path.as_ref().to_path_buf(),
handle: tokio::sync::Mutex::new(None),
}
}
@@ -95,33 +89,23 @@ impl AsyncFileReader {
impl AsyncHDF5Read for AsyncFileReader {
async fn read_at(&self, offset: u64, len: usize) -> io::Result<Vec<u8>> {
let mut guard = self.handle.lock().await;
if guard.is_none() {
let file = tokio::fs::File::open(&self.path).await?;
let file_len = file.metadata().await?.len();
*guard = Some((file, file_len));
}
let (file, file_len) = guard.as_mut().expect("just populated above");
let file_len = *file_len;
let mut file = tokio::fs::File::open(&self.path).await?;
let metadata = file.metadata().await?;
let file_len = metadata.len();
if offset >= file_len {
return Ok(Vec::new());
}
let available = (file_len - offset) as usize;
let to_read = len.min(available);
tokio::io::AsyncSeekExt::seek(file, io::SeekFrom::Start(offset)).await?;
tokio::io::AsyncSeekExt::seek(&mut file, io::SeekFrom::Start(offset)).await?;
let mut buf = vec![0u8; to_read];
file.read_exact(&mut buf).await?;
Ok(buf)
}
async fn len(&self) -> io::Result<u64> {
let mut guard = self.handle.lock().await;
if guard.is_none() {
let file = tokio::fs::File::open(&self.path).await?;
let file_len = file.metadata().await?.len();
*guard = Some((file, file_len));
}
Ok(guard.as_ref().expect("just populated above").1)
let metadata = tokio::fs::metadata(&self.path).await?;
Ok(metadata.len())
}
}
+5 -5
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-migrate"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "CLI to migrate SQLite agent memory databases to HDF5 format"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["sqlite", "hdf5", "migration", "agent", "memory"]
categories = ["command-line-utilities", "database"]
@@ -14,9 +14,9 @@ name = "clawhdf5-migrate"
path = "src/main.rs"
[dependencies]
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.3.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5 = { path = "../clawhdf5", version = "2.3.0" }
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.1.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
clawhdf5 = { path = "../clawhdf5", version = "2.1.0" }
rusqlite = { version = "0.31", features = ["bundled"] }
clap = { version = "4", features = ["derive"] }
half = { workspace = true }
@@ -49,10 +49,6 @@ pub fn read_hdf5(path: &str) -> Result<SqliteData, BoxErr> {
entities,
relations,
embedding_dim,
// Not a SQLite read — the caller (incremental migration) carries
// forward the current run's actual `source_path` from the fresh
// SQLite read instead of using this placeholder.
source_path: String::new(),
})
}
+5 -95
View File
@@ -20,7 +20,6 @@ pub fn write_hdf5(
opts: &WriteOptions,
) -> Result<(), Box<dyn std::error::Error>> {
let mut builder = FileBuilder::new();
let timestamp = iso8601_now();
// Root-level metadata attributes
builder.set_attr("agent_id", AttrValue::String(opts.agent_id.clone()));
@@ -28,18 +27,8 @@ pub fn write_hdf5(
builder.set_attr("embedding_dim", AttrValue::I64(data.embedding_dim as i64));
builder.set_attr("source", AttrValue::String("sqlite-migration".into()));
builder.set_attr("version", AttrValue::I64(1));
// Lineage: which SQLite database this output was migrated from and when,
// plus the migrator tool version — so a chain of `--incremental` runs
// still has an audit trail instead of every run overwriting the same
// static attributes (see research/03_provenance.md, INT-03).
builder.set_attr("source_path", AttrValue::String(data.source_path.clone()));
builder.set_attr("migrated_at", AttrValue::String(timestamp.clone()));
builder.set_attr(
"migrator_version",
AttrValue::String(env!("CARGO_PKG_VERSION").to_owned()),
);
write_chunks_group(&mut builder, data, opts, &timestamp);
write_chunks_group(&mut builder, data, opts);
write_sessions_group(&mut builder, data);
write_entities_group(&mut builder, data);
write_relations_group(&mut builder, data);
@@ -48,40 +37,6 @@ pub fn write_hdf5(
Ok(())
}
/// Current UTC time formatted as an ISO-8601 / RFC-3339 timestamp
/// (`YYYY-MM-DDTHH:MM:SSZ`), with no external date/time dependency.
fn iso8601_now() -> String {
let secs = std::time::SystemTime::now()
.duration_since(std::time::UNIX_EPOCH)
.unwrap_or_default()
.as_secs();
let days = (secs / 86_400) as i64;
let time_of_day = secs % 86_400;
let (h, m, s) = (
time_of_day / 3600,
(time_of_day % 3600) / 60,
time_of_day % 60,
);
let (y, mo, d) = civil_from_days(days);
format!("{y:04}-{mo:02}-{d:02}T{h:02}:{m:02}:{s:02}Z")
}
/// Days-since-epoch to (year, month, day), Howard Hinnant's `civil_from_days`
/// algorithm (proleptic Gregorian calendar, valid for the full `i64` range).
fn civil_from_days(z: i64) -> (i64, u32, u32) {
let z = z + 719_468;
let era = if z >= 0 { z } else { z - 146_096 } / 146_097;
let doe = (z - era * 146_097) as u64; // [0, 146096]
let yoe = (doe - doe / 1460 + doe / 36_524 - doe / 146_096) / 365; // [0, 399]
let y = yoe as i64 + era * 400;
let doy = doe - (365 * yoe + yoe / 4 - yoe / 100); // [0, 365]
let mp = (5 * doy + 2) / 153; // [0, 11]
let d = (doy - (153 * mp + 2) / 5 + 1) as u32; // [1, 31]
let m = (if mp < 10 { mp + 3 } else { mp - 9 }) as u32; // [1, 12]
let y = if m <= 2 { y + 1 } else { y };
(y, m, d)
}
/// Build a fixed-length string Datatype from the max byte length of the items.
fn string_dtype(max_len: usize) -> Datatype {
Datatype::String {
@@ -111,12 +66,7 @@ fn apply_compression(ds: &mut clawhdf5_format::type_builders::DatasetBuilder, op
}
}
fn write_chunks_group(
builder: &mut FileBuilder,
data: &SqliteData,
opts: &WriteOptions,
timestamp: &str,
) {
fn write_chunks_group(builder: &mut FileBuilder, data: &SqliteData, opts: &WriteOptions) {
let mut group = builder.create_group("chunks");
let n = data.chunks.len() as u64;
@@ -128,16 +78,6 @@ fn write_chunks_group(
group.set_attr("count", AttrValue::I64(n as i64));
// Source attribution attached directly to the content-bearing datasets
// (SHA-256 of the raw bytes + creator/timestamp/source), so the chunk
// text and embeddings each carry their own verifiable provenance
// (see clawhdf5_format::provenance / `Dataset::verify_provenance`).
let source_opt = if data.source_path.is_empty() {
None
} else {
Some(data.source_path.as_str())
};
// ids
let ids: Vec<i64> = data.chunks.iter().map(|c| c.id).collect();
group.create_dataset("id").with_i64_data(&ids);
@@ -147,8 +87,7 @@ fn write_chunks_group(
let (text_raw, text_len) = pack_strings(&texts);
group
.create_dataset("text")
.with_compound_data(string_dtype(text_len), text_raw, n)
.with_provenance("clawhdf5-migrate", timestamp, source_opt);
.with_compound_data(string_dtype(text_len), text_raw, n);
// embeddings - flatten to [N, dim]
let dim = data.embedding_dim;
@@ -177,8 +116,7 @@ fn write_chunks_group(
let ds = group
.create_dataset("embeddings")
.with_compound_data(f16_dtype, raw, n)
.with_shape(&[n, dim as u64])
.with_provenance("clawhdf5-migrate", timestamp, source_opt);
.with_shape(&[n, dim as u64]);
apply_compression(ds, opts);
} else {
let flat: Vec<f32> = data
@@ -189,8 +127,7 @@ fn write_chunks_group(
let ds = group
.create_dataset("embeddings")
.with_f32_data(&flat)
.with_shape(&[n, dim as u64])
.with_provenance("clawhdf5-migrate", timestamp, source_opt);
.with_shape(&[n, dim as u64]);
apply_compression(ds, opts);
}
@@ -337,30 +274,3 @@ fn write_relations_group(builder: &mut FileBuilder, data: &SqliteData) {
builder.add_group(group.finish());
}
#[cfg(test)]
mod time_tests {
use super::civil_from_days;
#[test]
fn epoch_day_zero_is_1970_01_01() {
assert_eq!(civil_from_days(0), (1970, 1, 1));
}
#[test]
fn known_dates_roundtrip() {
// 2026-08-16 is 20,681 days after 1970-01-01.
assert_eq!(civil_from_days(20_681), (2026, 8, 16));
// 2000-02-29 (leap day itself) and 2000-03-01 (the day after).
assert_eq!(civil_from_days(11_016), (2000, 2, 29));
assert_eq!(civil_from_days(11_017), (2000, 3, 1));
}
#[test]
fn iso8601_now_has_expected_shape() {
let ts = super::iso8601_now();
assert_eq!(ts.len(), "2026-08-16T00:00:00Z".len());
assert!(ts.starts_with("20")); // sanity: 21st-century year
assert!(ts.ends_with('Z'));
}
}
-9
View File
@@ -154,10 +154,6 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
base.entities = source.entities;
base.relations = source.relations;
base.embedding_dim = source.embedding_dim.max(base.embedding_dim);
// Carry the current run's real SQLite source forward for
// provenance — `base` (re-read from the prior HDF5 output) has
// no meaningful source_path of its own.
base.source_path = source.source_path;
if cli.verbose {
eprintln!("Incremental: appended {added} new chunks (id > {min_chunk_id})");
}
@@ -203,11 +199,6 @@ fn main() -> Result<(), Box<dyn std::error::Error>> {
summary.embedding_dim,
summary.rows_checked,
);
if summary.provenance_verified {
eprintln!("Provenance: chunks/text and chunks/embeddings SHA-256 hashes verified.");
} else if cli.verbose {
eprintln!("Provenance: no provenance hash found to verify (older output format?).");
}
Ok(())
}
+2 -10
View File
@@ -51,11 +51,6 @@ pub struct SqliteData {
pub entities: Vec<Entity>,
pub relations: Vec<Relation>,
pub embedding_dim: usize,
/// Filesystem path of the SQLite database this data was read from, for
/// provenance attribution on the HDF5 output. Empty when the data did
/// not come directly from a SQLite read (e.g. re-read of a prior HDF5
/// migration output for an incremental merge).
pub source_path: String,
}
/// A table name plus the ordered column names the reader maps by position.
@@ -185,10 +180,8 @@ fn detect_embedding_dim(conn: &Connection, config: &SchemaConfig) -> SqlResult<O
/// Parse a raw byte BLOB into a Vec<f32>.
fn blob_to_f32(blob: &[u8]) -> Vec<f32> {
blob.as_chunks::<4>()
.0
.iter()
.map(|b| f32::from_le_bytes(*b))
blob.chunks_exact(4)
.map(|b| f32::from_le_bytes([b[0], b[1], b[2], b[3]]))
.collect()
}
@@ -232,7 +225,6 @@ pub fn read_sqlite_filtered(
entities,
relations,
embedding_dim: dim,
source_path: path.to_owned(),
})
}
+1 -77
View File
@@ -1,6 +1,3 @@
use clawhdf5::reader::File as Hdf5File;
use clawhdf5_format::provenance::VerifyResult;
use crate::hdf5_reader::read_hdf5;
use crate::sqlite_reader::SqliteData;
@@ -16,12 +13,6 @@ pub struct ValidationSummary {
pub embedding_dim: u64,
/// Number of rows whose full content was compared against the source.
pub rows_checked: u64,
/// Whether the `chunks/text` and `chunks/embeddings` SHINES provenance
/// hashes (written via [`crate::hdf5_writer`]) were both present and
/// matched their recomputed SHA-256 on read-back. `false` when either
/// dataset has no provenance metadata (e.g. an older output file) or
/// there are zero chunks to check.
pub provenance_verified: bool,
}
/// Validate a migrated HDF5 file against the source data.
@@ -39,7 +30,6 @@ pub fn validate_hdf5(
float16: bool,
) -> Result<ValidationSummary, BoxErr> {
let got = read_hdf5(path)?;
let provenance_verified = verify_chunk_provenance(path)?;
// ---- Counts ----
check_count("chunk", got.chunks.len(), source.chunks.len())?;
@@ -136,7 +126,6 @@ pub fn validate_hdf5(
relations: got.relations.len() as u64,
embedding_dim: got.embedding_dim as u64,
rows_checked,
provenance_verified,
})
}
@@ -147,42 +136,6 @@ fn check_count(kind: &str, got: usize, expected: usize) -> Result<(), BoxErr> {
Ok(())
}
/// Re-verify the SHA-256 provenance hash of `chunks/text` and
/// `chunks/embeddings` against their actual stored bytes, catching
/// post-write corruption that a plain content comparison against the
/// in-memory source wouldn't (the source is compared against what
/// `read_hdf5` decoded, not against the raw bytes on disk).
///
/// Returns `Ok(true)` only if both datasets exist and both hashes match.
/// Returns `Ok(false)` (not an error) if a dataset has no provenance
/// attributes at all (e.g. a file written before this check existed) or
/// there are zero chunks. Returns an error only on an actual hash mismatch —
/// that indicates real corruption.
fn verify_chunk_provenance(path: &str) -> Result<bool, BoxErr> {
let file = Hdf5File::open(path)?;
let Ok(chunks) = file.group("chunks") else {
return Ok(false);
};
let mut all_present = true;
for name in ["text", "embeddings"] {
let Ok(ds) = chunks.dataset(name) else {
all_present = false;
continue;
};
match ds.verify_provenance()? {
VerifyResult::Ok => {}
VerifyResult::NoHash => all_present = false,
VerifyResult::Mismatch { stored, computed } => {
return Err(format!(
"provenance hash mismatch on chunks/{name}: stored {stored}, recomputed {computed} — data may be corrupted"
)
.into());
}
}
}
Ok(all_present)
}
fn field_err<T: std::fmt::Display>(kind: &str, i: usize, field: &str, s: T, g: T) -> BoxErr {
format!("{kind}[{i}].{field} mismatch: source {s}, HDF5 {g}").into()
}
@@ -191,8 +144,7 @@ fn truncate(s: &str) -> String {
if s.len() <= 40 {
s.to_string()
} else {
let cut = s.char_indices().nth(40).map(|(i, _)| i).unwrap_or(s.len());
format!("{}", &s[..cut])
format!("{}", &s[..40])
}
}
@@ -209,31 +161,3 @@ fn sample_indices(n: usize, full: bool) -> Vec<usize> {
idx.dedup();
idx
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn truncate_short_string_unchanged() {
assert_eq!(truncate("hello"), "hello");
}
/// A multi-byte character straddling byte offset 40 must not panic a
/// byte-index slice — this is arbitrary UTF-8 chunk text from an
/// untrusted source database, not test-only input.
#[test]
fn truncate_multibyte_char_at_boundary_does_not_panic() {
// 39 ASCII bytes then a 4-byte emoji straddling the byte-40 cut point.
let s = format!("{}{}", "a".repeat(39), "😀".repeat(5));
let result = truncate(&s);
assert!(result.ends_with('…'));
assert!(result.chars().count() < s.chars().count());
}
#[test]
fn truncate_exactly_at_limit_unchanged() {
let s = "a".repeat(40);
assert_eq!(truncate(&s), s);
}
}
+3 -3
View File
@@ -1,16 +1,16 @@
[package]
name = "clawhdf5-napi"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Node.js native addon (napi-rs) exposing clawhdf5-agent to TypeScript/JavaScript"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
[lib]
crate-type = ["cdylib"]
[dependencies]
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.3.0" }
clawhdf5-agent = { path = "../clawhdf5-agent", version = "2.1.0" }
napi = { version = "2", default-features = false, features = ["napi9"] }
napi-derive = "2"
+4 -4
View File
@@ -1,17 +1,17 @@
[package]
name = "clawhdf5-netcdf4"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "NetCDF-4 read support built on rustyhdf5 — pure Rust, no C dependencies"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["netcdf", "netcdf4", "hdf5", "science", "climate"]
categories = ["parser-implementations", "science"]
[dependencies]
clawhdf5 = { path = "../clawhdf5", version = "2.3.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5 = { path = "../clawhdf5", version = "2.1.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
[dev-dependencies]
tempfile = { workspace = true }
-5
View File
@@ -142,7 +142,6 @@ fn get_fill_value(attrs: &HashMap<String, AttrValue>, key: &str) -> Option<FillV
Some(AttrValue::String(s)) => Some(FillValue::String(s.clone())),
Some(AttrValue::F64Array(arr)) if !arr.is_empty() => Some(FillValue::Float(arr[0])),
Some(AttrValue::I64Array(arr)) if !arr.is_empty() => Some(FillValue::Int(arr[0])),
Some(AttrValue::U64Array(arr)) if !arr.is_empty() => Some(FillValue::UInt(arr[0])),
_ => None,
}
}
@@ -156,10 +155,6 @@ fn get_valid_range(attrs: &HashMap<String, AttrValue>) -> Option<(f64, f64)> {
Some(AttrValue::I64Array(arr)) if arr.len() >= 2 => {
return Some((arr[0] as f64, arr[1] as f64));
}
// Unsigned variables (NC_UBYTE..NC_UINT64) carry unsigned attributes.
Some(AttrValue::U64Array(arr)) if arr.len() >= 2 => {
return Some((arr[0] as f64, arr[1] as f64));
}
_ => {}
}
@@ -10,12 +10,6 @@ use clawhdf5_netcdf4::{AttrValue, NetCDF4File};
// Helpers
// ---------------------------------------------------------------------------
/// When `CLAWHDF5_REQUIRE_INTEROP=1` (set in CI), a missing Python dependency
/// is a test failure instead of a silent skip.
fn interop_required() -> bool {
std::env::var("CLAWHDF5_REQUIRE_INTEROP").is_ok_and(|v| v == "1")
}
fn netcdf4_python_available() -> bool {
Command::new("python3")
.args(["-c", "import netCDF4; print(netCDF4.__version__)"])
@@ -35,10 +29,6 @@ fn xarray_available() -> bool {
macro_rules! skip_if_no_netcdf4 {
() => {
if !netcdf4_python_available() {
assert!(
!interop_required(),
"CLAWHDF5_REQUIRE_INTEROP=1 but python3 with netCDF4 is not available"
);
eprintln!("SKIP: python3 with netCDF4 not available");
return;
}
@@ -48,10 +38,6 @@ macro_rules! skip_if_no_netcdf4 {
macro_rules! skip_if_no_xarray {
() => {
if !xarray_available() {
assert!(
!interop_required(),
"CLAWHDF5_REQUIRE_INTEROP=1 but python3 with xarray is not available"
);
eprintln!("SKIP: python3 with xarray not available");
return;
}
+4 -4
View File
@@ -1,10 +1,10 @@
[package]
name = "clawhdf5-py"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Python bindings for rustyhdf5 — a pure-Rust HDF5 library"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "python", "bindings", "science"]
categories = ["api-bindings", "science"]
@@ -14,8 +14,8 @@ name = "clawhdf5"
crate-type = ["cdylib", "rlib"]
[dependencies]
clawhdf5_rs = { path = "../clawhdf5", version = "2.3.0", package = "clawhdf5" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5_rs = { path = "../clawhdf5", version = "2.1.0", package = "clawhdf5" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
pyo3 = "0.29"
numpy = "0.29"
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "maturin"
[project]
name = "rustyhdf5"
version = "2.3.0"
version = "2.1.0"
description = "Python bindings for rustyhdf5 — a pure-Rust HDF5 library"
requires-python = ">=3.8"
license = { text = "MIT" }
-18
View File
@@ -128,28 +128,10 @@ pub(crate) fn attr_value_to_py(py: Python<'_>, val: &clawhdf5_rs::AttrValue) ->
let list = pyo3::types::PyList::new(py, a).unwrap();
list.into_any().unbind()
}
clawhdf5_rs::AttrValue::U64Array(a) => {
let list = pyo3::types::PyList::new(py, a).unwrap();
list.into_any().unbind()
}
clawhdf5_rs::AttrValue::StringArray(a) => {
let list = pyo3::types::PyList::new(py, a).unwrap();
list.into_any().unbind()
}
// No Python-side decoding for this datatype: hand back everything
// needed to interpret it rather than dropping the attribute.
clawhdf5_rs::AttrValue::Raw {
datatype,
shape,
data,
} => {
let dict = pyo3::types::PyDict::new(py);
dict.set_item("dtype", format!("{datatype:?}")).unwrap();
dict.set_item("shape", shape).unwrap();
dict.set_item("data", pyo3::types::PyBytes::new(py, data))
.unwrap();
dict.into_any().unbind()
}
}
}
+8 -12
View File
@@ -1,25 +1,25 @@
[package]
name = "clawhdf5"
version = "2.3.0"
version = "2.1.0"
edition = "2024"
description = "Pure-Rust HDF5 reader/writer — no C dependencies"
license = "MIT"
repository = "https://git.redclaw.dev/quantumclaw/clawhdf5"
repository = "https://github.com/redclawsystems/clawhdf5"
readme = "README.md"
keywords = ["hdf5", "science", "data", "binary"]
categories = ["parser-implementations", "science", "encoding"]
[dependencies]
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.3.0" }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.1.0" }
rayon = { version = "1", optional = true }
[dev-dependencies]
tempfile = { workspace = true }
criterion = { workspace = true }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.3.0", features = ["mmap"] }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.3.0", features = ["parallel", "fast-checksum"] }
clawhdf5-filters = { path = "../clawhdf5-filters", version = "2.3.0" }
clawhdf5-io = { path = "../clawhdf5-io", version = "2.1.0", features = ["mmap"] }
clawhdf5-format = { path = "../clawhdf5-format", version = "2.1.0", features = ["parallel", "fast-checksum"] }
clawhdf5-filters = { path = "../clawhdf5-filters", version = "2.1.0" }
[[bench]]
name = "mmap_bench"
@@ -30,7 +30,7 @@ name = "parallel_bench"
harness = false
[features]
default = ["mmap", "fast-deflate", "provenance"]
default = ["mmap", "fast-deflate"]
mmap = ["clawhdf5-io/mmap"]
parallel = ["clawhdf5-format/parallel", "rayon"]
fast-deflate = ["clawhdf5-format/fast-deflate"]
@@ -39,10 +39,6 @@ zstd = ["clawhdf5-format/zstd"]
blake3_hash = ["clawhdf5-format/blake3_hash"]
lz4 = ["clawhdf5-format/lz4"]
pcodec = ["clawhdf5-format/pcodec"]
# Dataset::verify_provenance() — recompute a dataset's SHA-256 and compare
# against its stored _provenance_sha256 attribute. On by default, matching
# clawhdf5-format's own default-on `provenance` feature.
provenance = ["clawhdf5-format/provenance"]
[package.metadata.docs.rs]
features = ["mmap"]
+15 -57
View File
@@ -416,43 +416,15 @@ impl<'f, R: HDF5Read> LazyDataset<'f, R> {
))
}
/// A header message's payload, resolved through the shared-message
/// indirection when needed (e.g. a committed datatype). See
/// [`clawhdf5_format::shared_message::message_data`].
fn message_payload(
&self,
msg_type: MessageType,
) -> Result<Option<std::borrow::Cow<'_, [u8]>>, Error> {
self.header
.messages
.iter()
.find(|m| m.msg_type == msg_type)
.map(|msg| {
clawhdf5_format::shared_message::message_data(
self.file.as_bytes(),
msg,
self.file.offset_size(),
self.file.length_size(),
)
.map_err(Error::Format)
})
.transpose()
}
fn required_payload(&self, msg_type: MessageType) -> Result<std::borrow::Cow<'_, [u8]>, Error> {
self.message_payload(msg_type)?
.ok_or(Error::MissingMessage(msg_type))
}
fn datatype(&self) -> Result<Datatype, Error> {
let data = self.required_payload(MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&data)?;
let msg = find_message(&self.header, MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&msg.data)?;
Ok(dt)
}
fn dataspace(&self) -> Result<Dataspace, Error> {
let data = self.required_payload(MessageType::Dataspace)?;
Ok(Dataspace::parse(&data, self.file.length_size())?)
let msg = find_message(&self.header, MessageType::Dataspace)?;
Ok(Dataspace::parse(&msg.data, self.file.length_size())?)
}
fn data_layout(&self) -> Result<DataLayout, Error> {
@@ -464,43 +436,29 @@ impl<'f, R: HDF5Read> LazyDataset<'f, R> {
)?)
}
/// `Ok(None)` means the dataset has no filter pipeline. A pipeline message
/// that is present but unparseable is an error: treating it as "no
/// filters" would hand the caller the still-compressed bytes as if they
/// were the data.
fn filter_pipeline(&self) -> Result<Option<FilterPipeline>, Error> {
self.message_payload(MessageType::FilterPipeline)?
.map(|data| FilterPipeline::parse(&data).map_err(Error::Format))
.transpose()
fn filter_pipeline(&self) -> Option<FilterPipeline> {
self.header
.messages
.iter()
.find(|m| m.msg_type == MessageType::FilterPipeline)
.and_then(|msg| FilterPipeline::parse(&msg.data).ok())
}
fn read_raw(&self) -> Result<Vec<u8>, Error> {
let dt = self.datatype()?;
let ds = self.dataspace()?;
let dl = self.data_layout()?;
let pipeline = self.filter_pipeline()?;
let pipeline = self.filter_pipeline();
let data = self.file.reader.as_bytes();
// Unallocated storage reads as the dataset's fill value.
clawhdf5_format::fill_value::read_full_with_fill(
&self.header.messages,
Ok(data_read::read_raw_data_full(
data,
&dl,
&ds,
dt.type_size() as usize,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
|| {
Ok(data_read::read_raw_data_full(
data,
&dl,
&ds,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
)?)
},
)
)?)
}
}
+7 -6
View File
@@ -48,8 +48,6 @@ pub use clawhdf5_format::dict_encoding::{DictEncoded, DictionaryEncoder};
pub use clawhdf5_format::property_list::{
DatasetCreateProps, FileAccessProps, FileCreateProps, lib_version,
};
#[cfg(feature = "provenance")]
pub use clawhdf5_format::provenance;
pub use clawhdf5_format::selection::Selection;
pub use clawhdf5_format::superblock::swmr_flags;
pub use clawhdf5_format::type_builders::{CompoundTypeBuilder, EnumTypeBuilder, FillTime};
@@ -469,10 +467,13 @@ mod tests {
let ds = file.dataset("data").unwrap();
// Zero-copy should succeed for contiguous LE f64 on mmap
if let Ok(slice) = ds.read_f64_zerocopy() {
assert_eq!(slice, &original[..]);
assert_eq!(slice, &ds.read_f64().unwrap()[..]);
} // else: alignment issue, acceptable
match ds.read_f64_zerocopy() {
Ok(slice) => {
assert_eq!(slice, &original[..]);
assert_eq!(slice, &ds.read_f64().unwrap()[..]);
}
Err(_) => {} // alignment issue, acceptable
}
assert_eq!(ds.read_f64().unwrap(), original);
std::fs::remove_file(&path).ok();
+15 -57
View File
@@ -357,43 +357,15 @@ impl<'f> MmapDataset<'f> {
))
}
/// A header message's payload, resolved through the shared-message
/// indirection when needed (e.g. a committed datatype). See
/// [`clawhdf5_format::shared_message::message_data`].
fn message_payload(
&self,
msg_type: MessageType,
) -> Result<Option<std::borrow::Cow<'_, [u8]>>, Error> {
self.header
.messages
.iter()
.find(|m| m.msg_type == msg_type)
.map(|msg| {
clawhdf5_format::shared_message::message_data(
self.file.as_bytes(),
msg,
self.file.offset_size(),
self.file.length_size(),
)
.map_err(Error::Format)
})
.transpose()
}
fn required_payload(&self, msg_type: MessageType) -> Result<std::borrow::Cow<'_, [u8]>, Error> {
self.message_payload(msg_type)?
.ok_or(Error::MissingMessage(msg_type))
}
fn datatype(&self) -> Result<Datatype, Error> {
let data = self.required_payload(MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&data)?;
let msg = find_message(&self.header, MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&msg.data)?;
Ok(dt)
}
fn dataspace(&self) -> Result<Dataspace, Error> {
let data = self.required_payload(MessageType::Dataspace)?;
Ok(Dataspace::parse(&data, self.file.length_size())?)
let msg = find_message(&self.header, MessageType::Dataspace)?;
Ok(Dataspace::parse(&msg.data, self.file.length_size())?)
}
fn data_layout(&self) -> Result<DataLayout, Error> {
@@ -405,42 +377,28 @@ impl<'f> MmapDataset<'f> {
)?)
}
/// `Ok(None)` means the dataset has no filter pipeline. A pipeline message
/// that is present but unparseable is an error: treating it as "no
/// filters" would hand the caller the still-compressed bytes as if they
/// were the data.
fn filter_pipeline(&self) -> Result<Option<FilterPipeline>, Error> {
self.message_payload(MessageType::FilterPipeline)?
.map(|data| FilterPipeline::parse(&data).map_err(Error::Format))
.transpose()
fn filter_pipeline(&self) -> Option<FilterPipeline> {
self.header
.messages
.iter()
.find(|m| m.msg_type == MessageType::FilterPipeline)
.and_then(|msg| FilterPipeline::parse(&msg.data).ok())
}
fn read_raw(&self) -> Result<Vec<u8>, Error> {
let dt = self.datatype()?;
let ds = self.dataspace()?;
let dl = self.data_layout()?;
let pipeline = self.filter_pipeline()?;
// Unallocated storage reads as the dataset's fill value.
clawhdf5_format::fill_value::read_full_with_fill(
&self.header.messages,
let pipeline = self.filter_pipeline();
Ok(data_read::read_raw_data_full(
self.file.reader.as_bytes(),
&dl,
&ds,
dt.type_size() as usize,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
|| {
Ok(data_read::read_raw_data_full(
self.file.reader.as_bytes(),
&dl,
&ds,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
)?)
},
)
)?)
}
}
+18 -141
View File
@@ -447,25 +447,7 @@ impl<'f> Dataset<'f> {
let dt = self.datatype()?;
let ds = self.dataspace()?;
let dl = self.data_layout()?;
let pipeline = self.filter_pipeline()?;
// The selection reader knows nothing about fill values. When they
// matter — no storage at all, or a non-zero fill on a chunked (possibly
// sparse) dataset — select from a fill-aware full read instead. (The
// selection reader currently decodes the full dataset too, so this
// costs nothing extra.)
let fill = clawhdf5_format::fill_value::dataset_fill_value(&self.header.messages)?;
let fill_matters = !clawhdf5_format::fill_value::has_storage(&dl)
|| (matches!(dl, DataLayout::Chunked { .. })
&& !clawhdf5_format::fill_value::is_default(fill.as_deref()));
if fill_matters {
let full = self.read_raw()?;
return Ok(data_read::extract_selection_from_buffer(
&full,
&ds.dimensions,
dt.type_size() as usize,
selection,
)?);
}
let pipeline = self.filter_pipeline();
Ok(data_read::read_raw_data_selection(
self.file.data.as_bytes(),
&dl,
@@ -716,68 +698,15 @@ impl<'f> Dataset<'f> {
))
}
/// Verify this dataset's content against its stored provenance hash
/// (`_provenance_sha256`, written automatically on save when a
/// [`Provenance`](clawhdf5_format::provenance::Provenance) is set — see
/// that module's docs). Returns `VerifyResult::NoHash` if the dataset
/// was never written with one.
///
/// This decodes and hashes the *entire* dataset, so unlike the other
/// read methods it is not run automatically on `open()`/`dataset()` —
/// call it explicitly where the cost of a full read is acceptable (e.g.
/// a periodic integrity sweep, not the hot read path).
///
/// The hash is unkeyed and stored alongside the data it protects, so
/// this only detects *accidental* corruption — anyone able to modify the
/// dataset can also recompute and overwrite the stored hash. A `VerifyResult::Ok`
/// result is not a tamper-evidence or authenticity guarantee.
#[cfg(feature = "provenance")]
pub fn verify_provenance(&self) -> Result<clawhdf5_format::provenance::VerifyResult, Error> {
Ok(clawhdf5_format::provenance::verify_dataset(
self.file.as_bytes(),
&self.header,
self.file.offset_size(),
self.file.length_size(),
)?)
}
/// A header message's payload, resolved through the shared-message
/// indirection when needed (e.g. a committed datatype). See
/// [`clawhdf5_format::shared_message::message_data`].
fn message_payload(
&self,
msg_type: MessageType,
) -> Result<Option<std::borrow::Cow<'_, [u8]>>, Error> {
self.header
.messages
.iter()
.find(|m| m.msg_type == msg_type)
.map(|msg| {
clawhdf5_format::shared_message::message_data(
self.file.as_bytes(),
msg,
self.file.offset_size(),
self.file.length_size(),
)
.map_err(Error::Format)
})
.transpose()
}
fn required_payload(&self, msg_type: MessageType) -> Result<std::borrow::Cow<'_, [u8]>, Error> {
self.message_payload(msg_type)?
.ok_or(Error::MissingMessage(msg_type))
}
fn datatype(&self) -> Result<Datatype, Error> {
let data = self.required_payload(MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&data)?;
let msg = find_message(&self.header, MessageType::Datatype)?;
let (dt, _) = Datatype::parse(&msg.data)?;
Ok(dt)
}
fn dataspace(&self) -> Result<Dataspace, Error> {
let data = self.required_payload(MessageType::Dataspace)?;
Ok(Dataspace::parse(&data, self.file.length_size())?)
let msg = find_message(&self.header, MessageType::Dataspace)?;
Ok(Dataspace::parse(&msg.data, self.file.length_size())?)
}
fn data_layout(&self) -> Result<DataLayout, Error> {
@@ -789,21 +718,19 @@ impl<'f> Dataset<'f> {
)?)
}
/// `Ok(None)` means the dataset has no filter pipeline. A pipeline message
/// that is present but unparseable is an error: treating it as "no
/// filters" would hand the caller the still-compressed bytes as if they
/// were the data.
fn filter_pipeline(&self) -> Result<Option<FilterPipeline>, Error> {
self.message_payload(MessageType::FilterPipeline)?
.map(|data| FilterPipeline::parse(&data).map_err(Error::Format))
.transpose()
fn filter_pipeline(&self) -> Option<FilterPipeline> {
self.header
.messages
.iter()
.find(|m| m.msg_type == MessageType::FilterPipeline)
.and_then(|msg| FilterPipeline::parse(&msg.data).ok())
}
fn read_raw(&self) -> Result<Vec<u8>, Error> {
let dt = self.datatype()?;
let ds = self.dataspace()?;
let dl = self.data_layout()?;
let pipeline = self.filter_pipeline()?;
let pipeline = self.filter_pipeline();
// Virtual datasets are assembled from source datasets; the per-file
// chunk cache does not apply. Route them through the resolver path so
@@ -812,7 +739,7 @@ impl<'f> Dataset<'f> {
let base_dir = self.file.base_dir.clone();
let resolver = move |name: &str| -> Option<Vec<u8>> {
let dir = base_dir.as_ref()?;
std::fs::read(dir.join(sibling_file_name(name)?)).ok()
std::fs::read(dir.join(name)).ok()
};
return Ok(data_read::read_raw_data_full_with_resolver(
self.file.data.as_bytes(),
@@ -826,28 +753,16 @@ impl<'f> Dataset<'f> {
)?);
}
// Unallocated storage reads as the dataset's fill value.
clawhdf5_format::fill_value::read_full_with_fill(
&self.header.messages,
Ok(data_read::read_raw_data_cached(
self.file.data.as_bytes(),
&dl,
&ds,
dt.type_size() as usize,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
|| {
Ok(data_read::read_raw_data_cached(
self.file.data.as_bytes(),
&dl,
&ds,
&dt,
pipeline.as_ref(),
self.file.offset_size(),
self.file.length_size(),
&self.file.chunk_cache,
)?)
},
)
&self.file.chunk_cache,
)?)
}
}
@@ -888,23 +803,6 @@ fn datatype_byte_order(dt: &Datatype) -> DatatypeByteOrder {
}
}
/// A source-file name taken from inside an HDF5 file, accepted only if it
/// stays within the directory of the file that named it.
///
/// The name is untrusted input. Joining it blindly lets a crafted file make
/// the reader open any path the process can reach — an absolute path replaces
/// the base directory entirely, and `..` components climb out of it. Only
/// plain relative paths made of normal components are allowed.
fn sibling_file_name(name: &str) -> Option<&std::path::Path> {
use std::path::Component;
let path = std::path::Path::new(name);
let mut components = path.components().peekable();
components.peek()?;
components
.all(|c| matches!(c, Component::Normal(_) | Component::CurDir))
.then_some(path)
}
fn find_message(
header: &ObjectHeader,
msg_type: MessageType,
@@ -958,24 +856,3 @@ fn resolve_group_entries(
Ok(Vec::new())
}
}
#[cfg(test)]
mod sibling_file_name_tests {
use super::sibling_file_name;
#[test]
fn only_paths_inside_the_base_directory_are_accepted() {
for ok in ["source.h5", "./source.h5", "sub/dir/source.h5"] {
assert!(sibling_file_name(ok).is_some(), "{ok}");
}
for bad in [
"",
"/etc/passwd",
"../secret.h5",
"sub/../../secret.h5",
"sub/../ok.h5",
] {
assert!(sibling_file_name(bad).is_none(), "{bad}");
}
}
}
+9 -52
View File
@@ -163,53 +163,13 @@ pub(crate) fn attrs_to_map(
) -> HashMap<String, AttrValue> {
let mut map = HashMap::new();
for attr in attrs {
// Every attribute is reported. One that has no dedicated `AttrValue`
// variant, or that fails to decode as its declared type, is returned
// verbatim as `AttrValue::Raw` rather than dropped — a partial
// attribute list with no indication anything is missing is worse than
// an undecoded value.
let val =
decode_attr_value(attr, file_data, offset_size, length_size).unwrap_or_else(|| {
AttrValue::Raw {
datatype: attr.datatype.clone(),
shape: attr.dataspace.dimensions.clone(),
data: attr.raw_data.clone(),
}
});
map.insert(attr.name.clone(), val);
if let Some(val) = decode_attr_value(attr, file_data, offset_size, length_size) {
map.insert(attr.name.clone(), val);
}
}
map
}
/// `Some(values)` if `attr` is a numpy/h5py-style boolean: an enumeration over
/// an integer base type whose members are exactly `FALSE` = 0 and `TRUE` = 1.
/// This is how `attrs["flag"] = True` is stored. Reported as 0/1 integers.
fn decode_bool_enum(attr: &clawhdf5_format::attribute::AttributeMessage) -> Option<Vec<i64>> {
use clawhdf5_format::datatype::Datatype;
let Datatype::Enumeration {
base_type, members, ..
} = &attr.datatype
else {
return None;
};
if members.len() != 2 {
return None;
}
let member_value = |name: &str| {
let m = members.iter().find(|m| m.name.eq_ignore_ascii_case(name))?;
clawhdf5_format::data_read::read_as_i64(&m.value, base_type)
.ok()?
.first()
.copied()
};
if member_value("FALSE")? != 0 || member_value("TRUE")? != 1 {
return None;
}
let values = clawhdf5_format::data_read::read_as_i64(&attr.raw_data, base_type).ok()?;
values.iter().all(|v| *v == 0 || *v == 1).then_some(values)
}
fn decode_attr_value(
attr: &clawhdf5_format::attribute::AttributeMessage,
file_data: &[u8],
@@ -240,7 +200,12 @@ fn decode_attr_value(
if vals.len() == 1 {
Some(AttrValue::U64(vals[0]))
} else {
Some(AttrValue::U64Array(vals))
// No U64Array variant, store as I64Array.
// NOTE: This cast is lossy for values > i64::MAX (bit 63 set).
// Those values will appear as negative i64. A dedicated U64Array
// variant would be needed to handle the full u64 range.
let i64_vals: Vec<i64> = vals.iter().map(|&v| v as i64).collect();
Some(AttrValue::I64Array(i64_vals))
}
}
Datatype::String { .. } => {
@@ -263,14 +228,6 @@ fn decode_attr_value(
Some(AttrValue::StringArray(strings))
}
}
Datatype::Enumeration { .. } => {
let vals = decode_bool_enum(attr)?;
if vals.len() == 1 {
Some(AttrValue::I64(vals[0]))
} else {
Some(AttrValue::I64Array(vals))
}
}
_ => None,
}
}
+1 -84
View File
@@ -72,7 +72,7 @@ impl FileBuilder {
/// Serialize and write the file to the given path.
pub fn write<P: AsRef<std::path::Path>>(self, path: P) -> Result<(), Error> {
let bytes = self.finish()?;
write_file_atomically(path.as_ref(), &bytes).map_err(Error::Io)
std::fs::write(path, bytes).map_err(Error::Io)
}
}
@@ -186,86 +186,3 @@ pub fn create_datasets_parallel(specs: Vec<DatasetSpec>) -> Result<Vec<u8>, Erro
let bytes = clawhdf5_format::file_writer::finalize_parallel(blocks)?;
Ok(bytes)
}
/// Write `bytes` to `path` so that a crash or power loss leaves either the old
/// file or the complete new one — never a truncated mix. `std::fs::write`
/// truncates the destination first, so dying mid-write used to destroy the
/// existing file.
fn write_file_atomically(path: &std::path::Path, bytes: &[u8]) -> std::io::Result<()> {
use std::io::Write;
// Same directory as the target, so the rename stays on one filesystem.
let mut tmp_name = path
.file_name()
.ok_or_else(|| {
std::io::Error::new(std::io::ErrorKind::InvalidInput, "path has no file name")
})?
.to_os_string();
tmp_name.push(format!(".tmp-{}", std::process::id()));
let tmp_path = path.with_file_name(tmp_name);
let result = (|| {
let mut f = std::fs::File::create(&tmp_path)?;
f.write_all(bytes)?;
f.sync_all()?;
std::fs::rename(&tmp_path, path)
})();
if result.is_err() {
let _ = std::fs::remove_file(&tmp_path);
return result;
}
// Make the rename itself durable. Best-effort: not every filesystem
// supports syncing a directory, and the new file is already in place.
#[cfg(unix)]
if let Some(dir) = path.parent() {
let dir = if dir.as_os_str().is_empty() {
std::path::Path::new(".")
} else {
dir
};
if let Ok(d) = std::fs::File::open(dir) {
let _ = d.sync_all();
}
}
Ok(())
}
#[cfg(test)]
mod atomic_write_tests {
use super::write_file_atomically;
fn entries(dir: &std::path::Path) -> Vec<String> {
let mut names: Vec<String> = std::fs::read_dir(dir)
.unwrap()
.map(|e| e.unwrap().file_name().to_string_lossy().into_owned())
.collect();
names.sort();
names
}
#[test]
fn replaces_existing_file_and_leaves_no_temp_behind() {
let dir = tempfile::TempDir::new().unwrap();
let path = dir.path().join("out.h5");
std::fs::write(&path, b"old contents").unwrap();
write_file_atomically(&path, b"new").unwrap();
assert_eq!(std::fs::read(&path).unwrap(), b"new");
assert_eq!(entries(dir.path()), ["out.h5"]);
}
#[test]
fn failure_leaves_the_existing_file_untouched() {
let dir = tempfile::TempDir::new().unwrap();
// The target is a directory, so the final rename cannot succeed.
let path = dir.path().join("taken");
std::fs::create_dir(&path).unwrap();
std::fs::write(path.join("keep"), b"x").unwrap();
assert!(write_file_atomically(&path, b"new").is_err());
assert!(path.is_dir());
assert_eq!(entries(dir.path()), ["taken"], "temp file cleaned up");
}
}

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