Three things in one commit because they're tightly coupled (README
points at the diagrams; diagrams index in modules/index.md points
back at README; module pages embed the diagrams).
(1) README — label refresh:
- Quickstart label changed from STRICT/HYBRID/UNGROUNDED to the
four-rung ladder POINTER-LINKED → ANCHOR-WARRANTED →
EVIDENCE-WARRANTED → UNGROUNDED with -PARTIAL suffix on HYBRID.
- Verifier section spells out both layers (schema trichotomy +
display ladder), the seven hard checks of claim_lattice, and
the five anchor classes of warrant.
- Architecture tree updated: concepts/ package added, qa/
sub-modules expanded (warrant, evidence, parse_claims, dag),
verify.py described as quote/span/entity/paraphrase + claim_lattice.
- Concept overlay description updated for corpus-derived layer
(concept_relations table, link_reciprocity extractor, 1.6%
tax cite).
- Test count: 326+ → 641+.
(2) docs/diagrams/ — Graphviz dot sources:
- aborist-modules.dot — top-level package graph (substrate /
storage / sources / retrieval / qa / mesh / cli)
- query-pipeline.dot — question → cache → retrieval → LLM →
verify → render → cache write, with phase budgets
- ingest-pipeline.dot — source doc → canonicalize → chunk →
Merkle → upsert (+ optional distill)
- verifier-ladder.dot — (audit_mode, violations) → display rung
decision tree
Existing mesh-*.dot kept as-is. Makefile `make docs` target
extended to also emit .svg alongside the existing .png so the
diagrams render in markdown viewers.
(3) docs/modules/ — per-module reference pages:
- index.md (links to every diagram + every module page)
- merkle.md, document.md, store.md, ingest.md, evict.md,
sources.md, search.md, concepts.md, qa.md, distill.md,
wikitext.md
Each page is a one-screenful concise reference: what the
module is for, public API, key invariants, embedded diagrams
where useful, link to source. Mesh stays at the existing
docs/mesh.md + docs/mesh-deploy.md (already comprehensive).
Tests: 641 passed (no code change).
2.3 KiB
aborist.ingest
The bulk-batched pipeline that turns documents from a source into
Merkle-committed shard storage. Source-agnostic: anything that
implements Source.iter_documents() flows through here.
Public API
from aborist.ingest import ingest_source
from aborist.sources.wikipedia import WikipediaSqlDump
source = WikipediaSqlDump("/path/to/cur.sql.bz2")
ingest_source(
source,
db_path=Path("~/.aborist/shards/000.db"),
batch_size=200, # docs per transaction
progress_every=1000,
)
What happens per document
- Canonicalize —
canonicalize(text): NFC + ws-collapse + strip ends. Pinned bycanonicalization_version='norm-v1'. - Chunk —
Chunker.chunk(canonical_text)→ list of token- bounded substrings. Defaulttok-512-v1chunker. - Hash leaves —
sha256(0x00 || canonical_chunk_bytes)per chunk. - Merkle tree —
MerkleTree.build(leaves).root→document_root. Two peers running the same chunker on the same canonicalized content compute bit-identical roots. - Upsert —
documentsrow keyed ondocument_root(idempotent re-ingest),chunksrows with leaf hashes,merkle_nodesfor proof reconstruction,edgesper outbound link. - FTS5 —
chunks_ftsinsert with rowid =chunks.chunk_idso the search-time JOIN lines up. - Audit event — one row per ingest batch in
audit_events, chained onprev_event_hash.
Batching discipline
Default batch_size=200: balances Python GIL overhead vs SQLite
transaction commit cost. Lower it (e.g. 50) only to bound peak
memory on a low-RAM host. Higher (e.g. 1000) for ETL throughput on
SSD storage when memory isn't tight.
progress_every prints a stderr line every N docs so long ingests
are observable. Use PYTHONUNBUFFERED=1 for tail-able output.
Resumability
Idempotent re-ingest: same content + same chunker + same canonicalize
= same document_root = no-op insert. So a crashed ingest can be
restarted from the source's beginning without duplicating rows.
Different content at the same URI gets a new document_root AND a
supersedes edge linking new → old (lossless history).