Closes two real-use gaps:
1. "APM tool" gap: work done outside Claude Code (desktop, web, phone,
other machine) was invisible to AtoCore.
2. Project discovery gap: manual JSON-file edits required to promote
an emerging theme to a first-class project.
B — atocore_remember MCP tool (scripts/atocore_mcp.py):
- New MCP tool for universal capture from any MCP-aware client
(Claude Desktop, Code, Cursor, Zed, Windsurf, etc.)
- Accepts content (required) + memory_type/project/confidence/
valid_until/domain_tags (all optional with sensible defaults)
- Creates a candidate memory, goes through the existing 3-tier triage
(no bypass — the quality gate catches noise)
- Detailed tool description guides Claude on when to invoke: "remember
this", "save that for later", "don't lose this fact"
- Total tools exposed by MCP server: 14 → 15
C.1 Emerging-concepts detector (scripts/detect_emerging.py):
- Nightly scan of active + candidate memories for:
* Unregistered project names with ≥3 memory occurrences
* Top 20 domain_tags by frequency (emerging categories)
* Active memories with reference_count ≥ 5 + valid_until set
(reinforced transients — candidates for extension)
- Writes findings to atocore/proposals/* project state entries
- Emits "warning" alert via Phase 4 framework the FIRST time a new
project crosses the 5-memory alert threshold (avoids spam)
- Configurable via env vars: ATOCORE_EMERGING_PROJECT_MIN (default 3),
ATOCORE_EMERGING_ALERT_THRESHOLD (default 5), TOP_TAGS_LIMIT (20)
C.2 Registration surface (src/atocore/api/routes.py + wiki.py):
- POST /admin/projects/register-emerging — one-click register with
sensible defaults (ingest_roots auto-filled with
vault:incoming/projects/<id>/ convention). Clears the proposal
from the dashboard list on success.
- Dashboard /admin/dashboard: new "proposals" section with
unregistered_projects + emerging_categories + reinforced_transients.
- Wiki homepage: "📋 Emerging" section rendering each unregistered
project as a card with count + 2 sample memory previews + inline
"📌 Register as project" button that calls the endpoint via fetch,
reloads the page on success.
C.3 Transient-to-durable extension
(src/atocore/memory/service.py + API + cron):
- New extend_reinforced_valid_until() function — scans active memories
with valid_until in the next 30 days and reference_count ≥ 5.
Extends expiry by 90 days. If reference_count ≥ 10, clears expiry
entirely (makes permanent). Writes audit rows via the Phase 4
memory_audit framework with actor="transient-to-durable".
- POST /admin/memory/extend-reinforced — API wrapper for cron.
- Matches the user's intuition: "something transient becomes important
if you keep coming back to it".
Nightly cron (deploy/dalidou/batch-extract.sh):
- Step F2: detect_emerging.py (after F pipeline summary)
- Step F3: /admin/memory/extend-reinforced (before integrity check)
- Both fail-open; errors don't break the pipeline.
Tests: 366 → 374 (+8 for Phase 6):
- 6 tests for extend_reinforced_valid_until covering:
extension path, permanent path, skip far-future, skip low-refs,
skip permanent memories, audit row write
- 2 smoke tests for the detector (imports cleanly, handles empty DB)
- MCP tool changes don't need new tests — the wrapper is pure passthrough
Design decisions documented in plan file:
- atocore_remember deliberately doesn't bypass triage (quality gate)
- Detector is passive (surfaces proposals) not active (auto-registers)
- Sensible ingest-root defaults ("vault:incoming/projects/<id>/")
so registration is one-click with no file-path thinking
- Extension adds 90 days rather than clearing expiry (gradual
permanence earned through sustained reinforcement)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
149 lines
5.3 KiB
Python
149 lines
5.3 KiB
Python
"""Phase 6 tests — Living Taxonomy: detector + transient-to-durable extension."""
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from __future__ import annotations
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from datetime import datetime, timedelta, timezone
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import pytest
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from atocore.memory.service import (
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create_memory,
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extend_reinforced_valid_until,
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)
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from atocore.models.database import get_connection, init_db
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def _set_memory_fields(mem_id, reference_count=None, valid_until=None):
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"""Helper to force memory state for tests."""
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with get_connection() as conn:
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fields, params = [], []
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if reference_count is not None:
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fields.append("reference_count = ?")
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params.append(reference_count)
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if valid_until is not None:
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fields.append("valid_until = ?")
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params.append(valid_until)
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params.append(mem_id)
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conn.execute(
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f"UPDATE memories SET {', '.join(fields)} WHERE id = ?",
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params,
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)
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# --- Transient-to-durable extension (C.3) ---
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def test_extend_extends_imminent_valid_until(tmp_data_dir):
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init_db()
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mem = create_memory("knowledge", "Reinforced content for extension")
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soon = (datetime.now(timezone.utc) + timedelta(days=7)).strftime("%Y-%m-%d")
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_set_memory_fields(mem.id, reference_count=6, valid_until=soon)
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result = extend_reinforced_valid_until()
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assert len(result) == 1
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assert result[0]["memory_id"] == mem.id
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assert result[0]["action"] == "extended"
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# New expiry should be ~90 days out
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new_date = datetime.strptime(result[0]["new_valid_until"], "%Y-%m-%d")
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days_out = (new_date - datetime.now(timezone.utc).replace(tzinfo=None)).days
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assert 85 <= days_out <= 92 # ~90 days, some slop for test timing
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def test_extend_makes_permanent_at_high_reference_count(tmp_data_dir):
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init_db()
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mem = create_memory("knowledge", "Heavy-referenced content")
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soon = (datetime.now(timezone.utc) + timedelta(days=7)).strftime("%Y-%m-%d")
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_set_memory_fields(mem.id, reference_count=15, valid_until=soon)
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result = extend_reinforced_valid_until()
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assert len(result) == 1
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assert result[0]["action"] == "made_permanent"
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assert result[0]["new_valid_until"] is None
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# Verify the DB reflects the cleared expiry
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with get_connection() as conn:
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row = conn.execute(
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"SELECT valid_until FROM memories WHERE id = ?", (mem.id,)
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).fetchone()
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assert row["valid_until"] is None
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def test_extend_skips_not_expiring_soon(tmp_data_dir):
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init_db()
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mem = create_memory("knowledge", "Far-future expiry")
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far = (datetime.now(timezone.utc) + timedelta(days=365)).strftime("%Y-%m-%d")
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_set_memory_fields(mem.id, reference_count=6, valid_until=far)
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result = extend_reinforced_valid_until(imminent_expiry_days=30)
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assert result == []
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def test_extend_skips_low_reference_count(tmp_data_dir):
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init_db()
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mem = create_memory("knowledge", "Not reinforced enough")
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soon = (datetime.now(timezone.utc) + timedelta(days=7)).strftime("%Y-%m-%d")
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_set_memory_fields(mem.id, reference_count=2, valid_until=soon)
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result = extend_reinforced_valid_until(min_reference_count=5)
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assert result == []
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def test_extend_skips_permanent_memory(tmp_data_dir):
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"""Memory with no valid_until is already permanent — shouldn't touch."""
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init_db()
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mem = create_memory("knowledge", "Already permanent")
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_set_memory_fields(mem.id, reference_count=20)
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# no valid_until
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result = extend_reinforced_valid_until()
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assert result == []
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def test_extend_writes_audit_row(tmp_data_dir):
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init_db()
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mem = create_memory("knowledge", "Audited extension")
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soon = (datetime.now(timezone.utc) + timedelta(days=7)).strftime("%Y-%m-%d")
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_set_memory_fields(mem.id, reference_count=6, valid_until=soon)
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extend_reinforced_valid_until()
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from atocore.memory.service import get_memory_audit
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audit = get_memory_audit(mem.id)
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actions = [a["action"] for a in audit]
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assert "valid_until_extended" in actions
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entry = next(a for a in audit if a["action"] == "valid_until_extended")
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assert entry["actor"] == "transient-to-durable"
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# --- Emerging detector (smoke tests — detector runs against live DB state
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# so we test the shape of results rather than full integration here) ---
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def test_detector_imports_cleanly():
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"""Detector module must import without errors (it's called from nightly cron)."""
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import importlib.util
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import sys
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from pathlib import Path
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# Load the detector script as a module
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script = Path(__file__).resolve().parent.parent / "scripts" / "detect_emerging.py"
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assert script.exists()
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spec = importlib.util.spec_from_file_location("detect_emerging", script)
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mod = importlib.util.module_from_spec(spec)
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# Don't actually run main() — just verify it parses and defines expected names
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spec.loader.exec_module(mod)
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assert hasattr(mod, "main")
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assert hasattr(mod, "PROJECT_MIN_MEMORIES")
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assert hasattr(mod, "PROJECT_ALERT_THRESHOLD")
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def test_detector_handles_empty_db(tmp_data_dir):
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"""Detector should handle zero memories without crashing."""
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init_db()
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# Don't create any memories. Just verify the queries work via the service layer.
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from atocore.memory.service import get_memories
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active = get_memories(active_only=True, limit=500)
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candidates = get_memories(status="candidate", limit=500)
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assert active == []
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assert candidates == []
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