sync: scission owner/template + brain-template-export + BRAIN_MODE guard + /visualize scope filter + port orphelins fix

scripts/brain-template-export.sh

@@ -0,0 +1,92 @@
+#!/usr/bin/env bash
+# brain-template-export.sh — Extrait brain-template.db depuis brain.db (kernel+public only)
+# Usage: bash scripts/brain-template-export.sh [output_path]
+#
+# Fast path : copie les vecteurs existants, pas besoin d'Ollama.
+# Zéro table session (claims, signals, handoffs, sessions, agent_loads, locks, circuit_breaker, agent_memory).
+
+set -euo pipefail
+
+BRAIN_ROOT="$(cd "$(dirname "$0")/.." && pwd)"
+SRC="${BRAIN_ROOT}/brain.db"
+DST="${1:-${BRAIN_ROOT}/brain-template.db}"
+
+if [[ ! -f "$SRC" ]]; then
+    echo "❌ brain.db introuvable : $SRC" >&2
+    exit 1
+fi
+
+echo "brain-template-export : $SRC → $DST"
+echo "Scopes inclus : kernel, public"
+
+python3 - "$SRC" "$DST" << 'PY'
+import sqlite3
+import sys
+
+src_path = sys.argv[1]
+dst_path = sys.argv[2]
+
+# Connexion source (lecture seule)
+src = sqlite3.connect(f'file:{src_path}?mode=ro', uri=True)
+src.row_factory = sqlite3.Row
+
+# Créer le template DB
+dst = sqlite3.connect(dst_path)
+dst.execute("PRAGMA journal_mode=WAL")
+
+# Créer la table embeddings (seule table du template)
+dst.execute("""
+    CREATE TABLE IF NOT EXISTS embeddings (
+        chunk_id    TEXT PRIMARY KEY,
+        filepath    TEXT NOT NULL,
+        title       TEXT,
+        chunk_text  TEXT NOT NULL,
+        vector      BLOB,
+        model       TEXT,
+        indexed     INTEGER DEFAULT 0,
+        scope       TEXT NOT NULL DEFAULT 'work',
+        created_at  TEXT NOT NULL DEFAULT (datetime('now')),
+        updated_at  TEXT NOT NULL DEFAULT (datetime('now'))
+    )
+""")
+dst.execute("CREATE INDEX IF NOT EXISTS idx_emb_filepath ON embeddings(filepath)")
+dst.execute("CREATE INDEX IF NOT EXISTS idx_emb_indexed ON embeddings(indexed)")
+dst.execute("CREATE INDEX IF NOT EXISTS idx_emb_scope ON embeddings(scope)")
+dst.commit()
+
+# Copier uniquement les embeddings kernel + public
+ALLOWED_SCOPES = ('kernel', 'public')
+placeholders = ','.join('?' * len(ALLOWED_SCOPES))
+
+rows = src.execute(f"""
+    SELECT chunk_id, filepath, title, chunk_text, vector, model, indexed, scope, created_at, updated_at
+    FROM embeddings
+    WHERE indexed = 1 AND vector IS NOT NULL AND scope IN ({placeholders})
+""", ALLOWED_SCOPES).fetchall()
+
+for r in rows:
+    dst.execute("""
+        INSERT OR REPLACE INTO embeddings
+            (chunk_id, filepath, title, chunk_text, vector, model, indexed, scope, created_at, updated_at)
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
+    """, tuple(r))
+
+dst.commit()
+dst.execute("VACUUM")
+
+# Stats
+total = len(rows)
+scopes = {}
+for r in rows:
+    s = r['scope']
+    scopes[s] = scopes.get(s, 0) + 1
+
+src.close()
+dst.close()
+
+print(f"✅ Template généré : {dst_path}")
+print(f"   Chunks : {total}")
+for s, c in sorted(scopes.items()):
+    print(f"   - {s} : {c}")
+print(f"   Tables session : 0 (aucune)")
+PY