Anto01
1953e559f9
Codex caught a real documentation accuracy bug in the previous canonicalization doc commit (f521aab). The doc claimed that rows written under aliases beforefb6298a"still work via the unregistered-name fallback path" — that is wrong for REGISTERED aliases, which is exactly the case that matters. The unregistered-name fallback only saves you when the project was never in the registry: a row stored under "orphan-project" is read back via "orphan-project", both pass through resolve_project_name unchanged, and the strings line up. For a registered alias like "p05", the helper rewrites the read key to "p05-interferometer" but does NOT rewrite the storage key, so the legacy row becomes silently invisible. This commit corrects the doc and locks the gap behavior in with a regression test, so the issue cannot be lost again. docs/architecture/project-identity-canonicalization.md ------------------------------------------------------ - Removed the misleading claim from the "What this rule does NOT cover" section. Replaced with a pointer to the new gap section and an explicit statement that the migration is required before engineering V1 ships. - New "Compatibility gap: legacy alias-keyed rows" section between "Why this is the trust hierarchy in action" and "The rule for new entry points". This is the natural insertion point because the gap is exactly the trust hierarchy failing for legacy data. The section covers: * a worked T0/T1 timeline showing the exact failure mode * what is at risk on the live Dalidou DB, ranked by trust tier: projects table (shadow rows), project_state (highest risk because Layer 3 is most-authoritative), memories, interactions * inspection SQL queries for measuring the actual blast radius on the live DB before running any migration * the spec for the migration script: walk projects, find shadow rows, merge dependent state via the conflict model when there are collisions, dry-run mode, idempotent * explicit statement that this is required pre-V1 because V1 will add new project-keyed tables and the killer correctness queries from engineering-query-catalog.md would report wrong results against any project that has shadow rows - "Open follow-ups" item 1 promoted from "tracked optional" to "REQUIRED before engineering V1 ships, NOT optional" with a more honest cost estimate (~150 LOC migration + ~50 LOC tests + supervised live run, not the previous optimistic ~30 LOC) - TL;DR rewritten to mention the gap explicitly and re-order the open follow-ups so the migration is the top priority tests/test_project_state.py --------------------------- - New test_legacy_alias_keyed_state_is_invisible_until_migrated - Inserts a "p05" project row + a project_state row pointing at it via raw SQL (bypassing set_state which now canonicalizes), simulating a pre-fix legacy row - Verifies the canonicalized get_state path can NOT see the row via either the alias or the canonical id — this is the bug - Verifies the row is still in the database (just unreachable), so the migration script has something to find - The docstring explicitly says: "When the legacy alias migration script lands, this test must be inverted." Future readers will know exactly when and how to update it. Full suite: 175 passing (was 174), 1 warning. The +1 is the new gap regression test. What this commit does NOT do ---------------------------- - The migration script itself is NOT in this commit. Codex's finding was a doc accuracy issue, and the right scope is fix the doc + lock the gap behavior in. Writing the migration is the next concrete step but is bigger (~200 LOC + dry-run mode + collision handling via the conflict model + supervised run on the live Dalidou DB), warrants its own commit, and probably warrants a "draft + review the dry-run output before applying" workflow rather than a single shot. - Existing tests are unchanged. The new test stands alone as a documented gap; the 12 canonicalization tests fromfb6298astill pass without modification.
AtoCore
Personal context engine that enriches LLM interactions with durable memory, structured context, and project knowledge.
Quick Start
pip install -e .
uvicorn src.atocore.main:app --port 8100
Usage
# Ingest markdown files
curl -X POST http://localhost:8100/ingest \
-H "Content-Type: application/json" \
-d '{"path": "/path/to/notes"}'
# Build enriched context for a prompt
curl -X POST http://localhost:8100/context/build \
-H "Content-Type: application/json" \
-d '{"prompt": "What is the project status?", "project": "myproject"}'
# CLI ingestion
python scripts/ingest_folder.py --path /path/to/notes
# Live operator client
python scripts/atocore_client.py health
python scripts/atocore_client.py audit-query "gigabit" 5
API Endpoints
| Method | Path | Description |
|---|---|---|
| POST | /ingest | Ingest markdown file or folder |
| POST | /query | Retrieve relevant chunks |
| POST | /context/build | Build full context pack |
| GET | /health | Health check |
| GET | /debug/context | Inspect last context pack |
Architecture
FastAPI (port 8100)
|- Ingestion: markdown -> parse -> chunk -> embed -> store
|- Retrieval: query -> embed -> vector search -> rank
|- Context Builder: retrieve -> boost -> budget -> format
|- SQLite (documents, chunks, memories, projects, interactions)
'- ChromaDB (vector embeddings)
Configuration
Set via environment variables (prefix ATOCORE_):
| Variable | Default | Description |
|---|---|---|
| ATOCORE_DEBUG | false | Enable debug logging |
| ATOCORE_PORT | 8100 | Server port |
| ATOCORE_CHUNK_MAX_SIZE | 800 | Max chunk size (chars) |
| ATOCORE_CONTEXT_BUDGET | 3000 | Context pack budget (chars) |
| ATOCORE_EMBEDDING_MODEL | paraphrase-multilingual-MiniLM-L12-v2 | Embedding model |
Testing
pip install -e ".[dev]"
pytest
Operations
scripts/atocore_client.pyprovides a live API client for project refresh, project-state inspection, and retrieval-quality audits.docs/operations.mdcaptures the current operational priority order: retrieval quality, Wave 2 trusted-operational ingestion, AtoDrive scoping, and restore validation.
Architecture Notes
Implementation-facing architecture notes live under docs/architecture/.
Current additions:
docs/architecture/engineering-knowledge-hybrid-architecture.md— 5-layer hybrid modeldocs/architecture/engineering-ontology-v1.md— V1 object and relationship inventorydocs/architecture/engineering-query-catalog.md— 20 v1-required queriesdocs/architecture/memory-vs-entities.md— canonical home splitdocs/architecture/promotion-rules.md— Layer 0 to Layer 2 pipelinedocs/architecture/conflict-model.md— contradictory facts detection and resolution