Commit Graph

9 Commits

Author SHA1 Message Date
07664bd743 feat: Phase 5A — Engineering V1 foundation
First slice of the Engineering V1 sprint. Lays the schema + lifecycle
plumbing so the 10 canonical queries, memory graduation, and conflict
detection can land cleanly on top.

Schema (src/atocore/models/database.py):
- conflicts + conflict_members tables per conflict-model.md (with 5
  indexes on status/project/slot/members)
- memory_audit.entity_kind discriminator — same audit table serves
  both memories ("memory") and entities ("entity"); unified history
  without duplicating infrastructure
- memories.graduated_to_entity_id forward pointer for graduated
  memories (M → E transition preserves the memory as historical
  pointer)

Memory (src/atocore/memory/service.py):
- MEMORY_STATUSES gains "graduated" — memory-entity graduation flow
  ready to wire in Phase 5F

Engineering service (src/atocore/engineering/service.py):
- RELATIONSHIP_TYPES organized into 4 families per ontology-v1.md:
  + Structural: contains, part_of, interfaces_with
  + Intent: satisfies, constrained_by, affected_by_decision,
    based_on_assumption (new), supersedes
  + Validation: analyzed_by, validated_by, supports (new),
    conflicts_with (new), depends_on
  + Provenance: described_by, updated_by_session (new),
    evidenced_by (new), summarized_in (new)
- create_entity + create_relationship now call resolve_project_name()
  on write (canonicalization contract per doc)
- Both accept actor= parameter for audit provenance
- _audit_entity() helper uses shared memory_audit table with
  entity_kind="entity" — one observability layer for everything
- promote_entity / reject_entity_candidate / supersede_entity —
  mirror the memory lifecycle exactly (same pattern, same naming)
- get_entity_audit() reads from the shared table filtered by
  entity_kind

API (src/atocore/api/routes.py):
- POST /entities/{id}/promote (candidate → active)
- POST /entities/{id}/reject (candidate → invalid)
- GET /entities/{id}/audit (full history for one entity)
- POST /entities passes actor="api-http" through

Tests: 317 → 326 (9 new):
- test_entity_project_canonicalization (p04 → p04-gigabit)
- test_promote_entity_candidate_to_active
- test_reject_entity_candidate
- test_promote_active_entity_noop (only candidates promote)
- test_entity_audit_log_captures_lifecycle (before/after snapshots)
- test_new_relationship_types_available (6 new types present)
- test_conflicts_tables_exist
- test_memory_audit_has_entity_kind
- test_graduated_status_accepted

What's next (5B-5I, deferred): entity triage UI tab, core structure
queries, the 3 killer queries, memory graduation script, conflict
detection, MCP + context pack integration. See plan file.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-17 07:01:28 -04:00
bfa7dba4de feat: Phase 3 V1 — Auto-Organization (domain_tags + valid_until)
Adds structural metadata that the LLM triage was already implicitly
reasoning about ("stale snapshot" → reject). Phase 3 captures that
reasoning as fields so it can DRIVE retrieval, not just rejection.

Schema (src/atocore/models/database.py):
- domain_tags TEXT DEFAULT '[]'  JSON array of lowercase topic keywords
- valid_until DATETIME            ISO date; null = permanent
- idx_memories_valid_until index for efficient expiry queries

Memory service (src/atocore/memory/service.py):
- Memory dataclass gains domain_tags + valid_until
- create_memory, update_memory accept/persist both
- _row_to_memory safely reads both (JSON-decode + null handling)
- _normalize_tags helper: lowercase, dedup, strip, cap at 10
- get_memories_for_context filters expired (valid_until < today UTC)
- _rank_memories_for_query adds tag-boost: memories whose domain_tags
  appear as substrings in query text rank higher (tertiary key after
  content-overlap density + absolute overlap, before confidence)

LLM extractor (_llm_prompt.py → llm-0.5.0):
- SYSTEM_PROMPT documents domain_tags (2-5 keywords) + valid_until
  (time-bounded facts get expiry dates; durable facts stay null)
- normalize_candidate_item parses both fields from model output with
  graceful fallback for string/null/missing

LLM triage (scripts/auto_triage.py):
- TRIAGE_SYSTEM_PROMPT documents same two fields
- parse_verdict extracts them from verdict JSON
- On promote: PUT /memory/{id} with tags + valid_until BEFORE
  POST /memory/{id}/promote, so active memories carry them

API (src/atocore/api/routes.py):
- MemoryCreateRequest: adds domain_tags, valid_until
- MemoryUpdateRequest: adds domain_tags, valid_until, memory_type
- GET /memory response exposes domain_tags + valid_until + created_at

Triage UI (src/atocore/engineering/triage_ui.py):
- Renders existing tags as colored badges
- Adds inline text field for tags (comma-separated) + date picker for
  valid_until on every candidate card
- Save&Promote button persists edits via PUT then promotes
- Plain Promote (and Y shortcut) also saves tags/expiry if edited

Wiki (src/atocore/engineering/wiki.py):
- Search now matches memory content OR domain_tags
- Search results render tags as clickable badges linking to
  /wiki/search?q=<tag> for cross-project navigation
- valid_until shown as amber "valid until YYYY-MM-DD" hint

Tests: 303 → 308 (5 new for Phase 3 behavior):
- test_create_memory_with_tags_and_valid_until
- test_create_memory_normalizes_tags
- test_update_memory_sets_tags_and_valid_until
- test_get_memories_for_context_excludes_expired
- test_context_builder_tag_boost_orders_results

Deferred (explicitly): temporal_scope enum, source_refs memory graph,
HDBSCAN clustering, memory detail wiki page, backfill of existing
actives. See docs/MASTER-BRAIN-PLAN.md.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 21:37:01 -04:00
271ee25d99 feat: on-demand auto-triage from web UI
Adds an "Auto-process queue" button to /admin/triage that lets the
user kick off a full LLM triage pass without SSH. Bridges the gap
between web UI (in container) and claude CLI (host-only).

Architecture:
- UI button POSTs to /admin/triage/request-drain
- Endpoint writes atocore/config/auto_triage_requested_at flag
- Host-side watcher cron (every 2 min) checks for the flag
- When found: clears flag, acquires lock, runs auto_triage.py,
  records progress via atocore/status/* entries
- UI polls /admin/triage/drain-status every 10s to show progress,
  auto-reloads when done

Safety:
- Lock file prevents concurrent runs on host
- Flag cleared before run so duplicate clicks queue at most one re-run
- Fail-open: watcher errors just log, don't break anything
- Status endpoint stays read-only

Installation on host (one-time):
  */2 * * * * /srv/storage/atocore/app/deploy/dalidou/auto-triage-watcher.sh \
    >> /home/papa/atocore-logs/auto-triage-watcher.log 2>&1

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 21:05:30 -04:00
d8b370fd0a feat: /admin/triage web UI + auto-drain loop
Makes human triage sustainable. Before: command-line-only review,
auto-triage stopped after 100 candidates/run. Now:

1. Web UI at /admin/triage
   - Lists all pending candidates with inline promote/reject/edit
   - Edit content in-place before promoting (PUT /memory/{id})
   - Change type via dropdown
   - Keyboard shortcuts: Y=promote, N=reject, E=edit, S=scroll-next
   - Cards fade out after action, queue count updates live
   - Zero JS framework — vanilla fetch + event delegation

2. auto_triage.py drains queue
   - Loops up to 20 batches (default) of 100 candidates each
   - Tracks seen IDs so needs_human items don't reprocess
   - Exits cleanly when queue empty
   - Nightly cron naturally drains everything

3. Dashboard + wiki surface triage queue
   - Dashboard /admin/dashboard: new "triage" section with pending
     count + /admin/triage URL + warning/notice severity levels
   - Wiki homepage: prominent callout "N candidates awaiting triage —
     review now" linking to /admin/triage, styled with triage-warning
     (>50) or triage-notice (>20) CSS

Pattern: human intervenes only when AI can't decide. The UI makes
that intervention fast (20 candidates in 60 seconds). Nightly
auto-triage drains the queue so the human queue stays bounded.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 20:28:56 -04:00
c1f5b3bdee feat: Karpathy-inspired upgrades — contradiction, lint, synthesis
Three additive upgrades borrowed from Karpathy's LLM Wiki pattern:

1. CONTRADICTION DETECTION: auto-triage now has a fourth verdict —
   "contradicts". When a candidate conflicts with an existing memory
   (not duplicates, genuine disagreement like "Option A selected"
   vs "Option B selected"), the triage model flags it and leaves
   it in the queue for human review instead of silently rejecting
   or double-storing. Preserves source tension rather than
   suppressing it.

2. WEEKLY LINT PASS: scripts/lint_knowledge_base.py checks for:
   - Orphan memories (active but zero references after 14 days)
   - Stale candidates (>7 days unreviewed)
   - Unused entities (no relationships)
   - Empty-state projects
   - Unregistered projects auto-detected in memories
   Runs Sundays via the cron. Outputs a report.

3. WEEKLY SYNTHESIS: scripts/synthesize_projects.py uses sonnet to
   generate a 3-5 sentence "current state" paragraph per project
   from state + memories + entities. Cached in project_state under
   status/synthesis_cache. Wiki project pages now show this at the
   top under "Current State (auto-synthesis)". Falls back to a
   deterministic summary if no cache exists.

deploy/dalidou/batch-extract.sh: added Step C (synthesis) and
Step D (lint) gated to Sundays via date check.

All additive — nothing existing changes behavior. The database
remains the source of truth; these operations just produce better
synthesized views and catch rot.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 21:08:13 -04:00
761c483474 feat: wiki homepage groups projects by stage
Projects now appear under three buckets based on their state entries:
- Active Contracts
- Leads & Prospects
- Internal Tools & Infra

Each card shows the stage as a tag on the project title, the client
as an italic subtitle, and the project description. Empty buckets
hide. Makes it obvious at a glance what's contracted vs lead vs
internal.

Paired with stage/type/client state entries added to all 6 projects
so the grouping has data to work with.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 18:47:44 -04:00
3f18ba3b35 feat: AtoCore Wiki — navigable project knowledge browser
Full wiki interface at /wiki with:

- /wiki — Homepage with project cards, search box, system stats
- /wiki/projects/{name} — Project page with clickable entity links
- /wiki/entities/{id} — Entity detail with relationships as links
- /wiki/search?q=... — Search across entities and memories

Every entity name in a project page links to its detail page.
Entity detail pages show properties, relationships as clickable
links to related entities, and breadcrumb navigation back to the
project and wiki home.

Responsive, dark-mode, mobile-friendly. Card grid for projects.
Generated on-demand from the database — always current, no static
files, source of truth is the DB.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 16:09:12 -04:00
700e3ca2c2 feat: Human Mirror — GET /projects/{name}/mirror
Layer 3 of the AtoCore architecture. Generates a human-readable
project overview in markdown from structured data:

- Trusted Project State (by category)
- System Architecture (systems → subsystems → components with
  material and interface links)
- Decisions (with affected entities)
- Requirements & Constraints
- Materials
- Vendors
- Active Memories (with confidence and reference counts)

The mirror is DERIVED — every line traces back to an entity, state
entry, or memory. The footer stamps the generation timestamp and
the "not canonical truth" disclaimer.

API: GET /projects/{project_name}/mirror returns {project, format,
content} where content is the full markdown page. Supports project
aliases via resolve_project_name.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 14:37:12 -04:00
dc20033a93 feat: Engineering Knowledge Layer V1 — entities + relationships
Layer 2 of the AtoCore architecture. Adds typed engineering entities
with relationships on top of the flat memory/state/chunk substrate.

Schema:
- entities table: id, entity_type, name, project, description,
  properties (JSON), status, confidence, source_refs, timestamps
- relationships table: source_entity_id, target_entity_id,
  relationship_type, confidence, source_refs

15 entity types: project, system, subsystem, component, interface,
requirement, constraint, decision, material, parameter,
analysis_model, result, validation_claim, vendor, process

12 relationship types: contains, part_of, interfaces_with,
satisfies, constrained_by, affected_by_decision, analyzed_by,
validated_by, depends_on, uses_material, described_by, supersedes

Service layer: full CRUD + get_entity_with_context (returns an
entity with its relationships and all related entities in one call).

API endpoints:
- POST /entities — create entity
- GET /entities — list/filter by type, project, status, name
- GET /entities/{id} — entity + relationships + related entities
- POST /relationships — create relationship

Schema auto-initialized on app startup via init_engineering_schema().

7 tests covering entity CRUD, relationships, context traversal,
filtering, name search, and validation.

Test count: 290 -> 297.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-13 09:50:58 -04:00