feat(brain): Gedächtnis nach scope trennen (system/personal)
Neues Feld scope=system|personal auf jedem Memory-Punkt. Bootstrap-Export getrennt: System-Regeln (generisch, teilbar) vs. Persönliches (Name, Zugangsdaten, Projekte). Import ist scope-sicher — ein System-Import löscht NICHT die persönlichen pinned Memories. seed_rules + AGENT.md/TOOLING.md → system, USER.md-Präferenzen → personal. Backfill für Bestand (57 system / 617 personal). Diagnostic: zwei Export-Buttons, scope-Badge (SYS/PRIV) + Umschalter pro Memory. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Claude Opus 4.8
@@ -0,0 +1,90 @@
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"""Einmaliger Backfill: weist bestehenden Memory-Punkten ein `scope`
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(system | personal) zu. Sicher & reversibel — Stefan kann pro Eintrag in der
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Diagnostic-UI umschalten. Idempotent: laeuft mehrfach ohne Schaden.
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Heuristik (datengetrieben aus dem realen Bestand):
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- type=preference / fact / conversation / reminder -> personal
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- source in (seed, auto-feedback) -> system
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- type=identity -> system
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- type in (rule, tool, skill) und category in SYSTEM_CATS -> system
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- sonst -> personal (sicher: nichts leakt)
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Aufruf im Brain-Container:
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docker exec aria-brain python3 /app/backfill_scope.py # dry-run
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docker exec aria-brain python3 /app/backfill_scope.py --apply # schreibt
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"""
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import os
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import sys
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from collections import Counter
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from qdrant_client import QdrantClient
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from qdrant_client.http import models as qm
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COLLECTION = "aria_memory"
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SYSTEM_CATS = {
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"sicherheit", "arbeitsweise", "architektur", "ehrlichkeit", "verhalten",
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"voice", "skills", "freigaben", "infrastruktur", "persoenlichkeit",
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"pentest", "ausgabe",
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}
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def compute_scope(pl: dict) -> str:
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typ = pl.get("type")
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src = pl.get("source")
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cat = (pl.get("category") or "").lower()
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if typ == "preference":
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return "personal"
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if typ in ("fact", "conversation", "reminder"):
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return "personal"
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if src in ("seed", "auto-feedback"):
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return "system"
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if typ == "identity":
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return "system"
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if typ in ("rule", "tool", "skill") and cat in SYSTEM_CATS:
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return "system"
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return "personal"
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def main():
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apply = "--apply" in sys.argv
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force = "--force" in sys.argv # auch schon gesetzte scopes ueberschreiben
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c = QdrantClient(
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host=os.environ.get("QDRANT_HOST", "aria-qdrant"),
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port=int(os.environ.get("QDRANT_PORT", "6333")),
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)
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pts, _ = c.scroll(collection_name=COLLECTION, limit=5000,
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with_payload=True, with_vectors=False)
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per_scope: dict[str, list] = {"system": [], "personal": []}
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pinned_examples = Counter()
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skipped = 0
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for p in pts:
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pl = p.payload or {}
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if pl.get("scope") in ("system", "personal") and not force:
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skipped += 1
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continue
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scope = compute_scope(pl)
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per_scope[scope].append(p.id)
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if pl.get("pinned"):
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pinned_examples[(scope, pl.get("source"), pl.get("type"),
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pl.get("category"))] += 1
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print(f"total={len(pts)} skipped(already set)={skipped}")
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print(f"-> system={len(per_scope['system'])} personal={len(per_scope['personal'])}")
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print("pinned split (scope, source, type, category):")
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for k, v in sorted(pinned_examples.items()):
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print(" ", k, v)
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if not apply:
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print("\nDRY-RUN — nichts geschrieben. Mit --apply ausfuehren.")
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return
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for scope, ids in per_scope.items():
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if not ids:
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continue
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c.set_payload(collection_name=COLLECTION, payload={"scope": scope}, points=ids)
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print(f"\nAPPLIED: system={len(per_scope['system'])} personal={len(per_scope['personal'])}")
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if __name__ == "__main__":
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main()
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+44
-12
@@ -190,6 +190,7 @@ class MemoryIn(BaseModel):
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pinned: bool = False
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category: str = ""
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source: str = "manual"
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scope: str = "personal" # system | personal — steuert Bootstrap-Export
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tags: List[str] = Field(default_factory=list)
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conversation_id: Optional[str] = None
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# Vorhandene Anhang-Metadaten beim Save mitgeben (i.d.R. werden Anhaenge
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@@ -203,6 +204,7 @@ class MemoryUpdate(BaseModel):
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content: Optional[str] = None
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pinned: Optional[bool] = None
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category: Optional[str] = None
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scope: Optional[str] = None # system | personal
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tags: Optional[List[str]] = None
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@@ -214,6 +216,7 @@ class MemoryOut(BaseModel):
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pinned: bool
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category: str
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source: str
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scope: str = "personal"
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tags: List[str]
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created_at: str
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updated_at: str
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@@ -328,6 +331,7 @@ def memory_save(body: MemoryIn):
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pinned=body.pinned,
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category=body.category,
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source=body.source,
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scope=body.scope,
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tags=body.tags,
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conversation_id=body.conversation_id,
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attachments=body.attachments or [],
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@@ -353,6 +357,8 @@ def memory_update(point_id: str, body: MemoryUpdate):
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existing.pinned = body.pinned
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if body.category is not None:
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existing.category = body.category
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if body.scope is not None:
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existing.scope = body.scope
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if body.tags is not None:
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existing.tags = body.tags
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@@ -537,12 +543,23 @@ def memory_import_files():
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# Wiederherstellen einer schlanken ARIA nach Wipe.
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@app.get("/memory/export-bootstrap")
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def memory_export_bootstrap():
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"""Gibt alle pinned Memories als JSON zurueck — fuer Browser-Download."""
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def memory_export_bootstrap(scope: str = "system"):
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"""Gibt pinned Memories als JSON zurueck — fuer Browser-Download.
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scope='system' → nur generische Regeln (fuer ein frisches System),
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scope='personal' → nur Stefan-spezifisches (Name, Zugangsdaten, Projekte),
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scope='all' → alles pinned (Vollbackup).
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Default 'system', damit man nicht versehentlich Persoenliches teilt."""
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s = store()
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if scope == "all":
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pinned = s.list_pinned()
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elif scope in ("system", "personal"):
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pinned = s.list_pinned_by_scope(scope)
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else:
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raise HTTPException(400, f"Ungueltiger scope: {scope}")
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return {
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"version": 1,
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"version": 2,
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"scope": scope,
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"exported_at": __import__("datetime").datetime.now(
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__import__("datetime").timezone.utc
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).isoformat(),
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@@ -555,6 +572,7 @@ def memory_export_bootstrap():
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"pinned": True,
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"category": p.category,
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"source": p.source,
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"scope": p.scope,
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"tags": p.tags,
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}
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for p in pinned
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@@ -564,13 +582,18 @@ def memory_export_bootstrap():
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class BootstrapBundle(BaseModel):
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version: int = 1
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scope: Optional[str] = None # system | personal | all (aus dem Export)
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memories: List[dict]
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@app.post("/memory/import-bootstrap")
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def memory_import_bootstrap(body: BootstrapBundle):
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"""Loescht alle pinned Memories und importiert die im Bundle.
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Cold Memory (unpinned) bleibt unangetastet.
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"""Importiert ein Bootstrap-Bundle scope-sicher.
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Es werden NUR die aktuell pinned Punkte geloescht, deren scope zum Import
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gehoert — ein System-Import laesst also die persoenlichen pinned Memories
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(Name, Zugangsdaten) unangetastet und umgekehrt. Bei einem 'all'-Bundle
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(Vollbackup) werden alle pinned ersetzt.
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Wenn keine Memories im Bundle: nur loeschen ist NICHT erlaubt — der
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Caller soll erst exportieren und dann importieren.
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@@ -580,23 +603,31 @@ def memory_import_bootstrap(body: BootstrapBundle):
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s = store()
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e = embedder()
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# Alle aktuell pinned Punkte loeschen
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from qdrant_client.http import models as qm
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from memory.vector_store import COLLECTION
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# Scope bestimmen: explizit aus dem Bundle, sonst aus den memories ableiten.
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bundle_scope = body.scope
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if bundle_scope not in ("system", "personal", "all"):
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scopes_in_mems = {m.get("scope", "personal") for m in body.memories}
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bundle_scope = scopes_in_mems.pop() if len(scopes_in_mems) == 1 else "all"
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# Nur die pinned Punkte des betroffenen scope loeschen.
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del_must = [qm.FieldCondition(key="pinned", match=qm.MatchValue(value=True))]
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if bundle_scope in ("system", "personal"):
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del_must.append(qm.FieldCondition(key="scope", match=qm.MatchValue(value=bundle_scope)))
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s.client.delete(
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collection_name=COLLECTION,
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points_selector=qm.FilterSelector(filter=qm.Filter(must=[
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qm.FieldCondition(key="pinned", match=qm.MatchValue(value=True))
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])),
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points_selector=qm.FilterSelector(filter=qm.Filter(must=del_must)),
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)
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# Neue Punkte einspeisen
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# Neue Punkte einspeisen — scope pro memory (Fallback: bundle_scope bzw. personal).
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created = 0
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for m in body.memories:
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content = (m.get("content") or "").strip()
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if not content:
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continue
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mscope = m.get("scope") or (bundle_scope if bundle_scope != "all" else "personal")
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point = MemoryPoint(
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id="",
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type=m.get("type", "fact"),
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@@ -605,13 +636,14 @@ def memory_import_bootstrap(body: BootstrapBundle):
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pinned=True,
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category=m.get("category", ""),
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source=m.get("source", "bootstrap-import"),
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scope=mscope,
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tags=list(m.get("tags", [])),
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)
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vec = e.embed(content)
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s.upsert(point, vec)
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created += 1
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return {"created": created, "deleted_previous_pinned": True}
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return {"created": created, "scope": bundle_scope, "deleted_previous_pinned": True}
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# ─── Conversation-Loop ──────────────────────────────────────────────
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@@ -11,6 +11,10 @@ Punkt-Schema (Payload):
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content — eigentlicher Text (wird embedded)
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pinned — bool, True = Hot Memory (immer in Prompt)
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source — import | conversation | manual
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scope — system | personal. system = generische Regeln, die JEDER
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braucht, der das System aufsetzt (Sicherheit, Ehrlichkeit,
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Skill-Regeln). personal = Stefan-spezifisch (Name, Zugangs-
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daten, Projekte). Steuert den getrennten Bootstrap-Export.
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tags — Liste von Strings
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created_at, updated_at — ISO-Strings
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conversation_id — optional, nur fuer type=conversation
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@@ -55,6 +59,7 @@ class MemoryPoint:
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pinned: bool = False
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category: str = ""
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source: str = "manual"
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scope: str = "personal" # system | personal — steuert Bootstrap-Export
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tags: List[str] = field(default_factory=list)
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created_at: str = ""
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updated_at: str = ""
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@@ -74,6 +79,7 @@ class MemoryPoint:
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"pinned": self.pinned,
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"category": self.category,
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"source": self.source,
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"scope": self.scope,
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"tags": self.tags,
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"created_at": self.created_at,
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"updated_at": self.updated_at,
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@@ -94,6 +100,7 @@ class MemoryPoint:
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pinned=payload.get("pinned", False),
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category=payload.get("category", ""),
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source=payload.get("source", "manual"),
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scope=payload.get("scope", "personal"),
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tags=payload.get("tags", []),
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created_at=payload.get("created_at", ""),
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updated_at=payload.get("updated_at", ""),
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@@ -120,14 +127,23 @@ class VectorStore:
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collection_name=COLLECTION,
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vectors_config=qm.VectorParams(size=VECTOR_DIM, distance=qm.Distance.COSINE),
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)
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# Indexe fuer typische Filter-Felder
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for field_name in ("type", "pinned", "category", "source", "migration_key"):
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# Indexe fuer typische Filter-Felder — idempotent, laeuft auch auf
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# einer bestehenden Collection (fuer neu hinzugekommene Felder wie scope).
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self._ensure_indexes()
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def _ensure_indexes(self):
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for field_name in ("type", "pinned", "category", "source", "scope", "migration_key"):
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schema = (qm.PayloadSchemaType.BOOL if field_name == "pinned"
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else qm.PayloadSchemaType.KEYWORD)
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try:
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self.client.create_payload_index(
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collection_name=COLLECTION,
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field_name=field_name,
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field_schema=qm.PayloadSchemaType.KEYWORD if field_name != "pinned"
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else qm.PayloadSchemaType.BOOL,
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field_schema=schema,
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)
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except Exception:
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# Index existiert bereits — kein Problem.
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pass
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# ─── Schreib-Operationen ─────────────────────────────────────────
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@@ -164,6 +180,38 @@ class VectorStore:
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qm.FieldCondition(key="pinned", match=qm.MatchValue(value=True))
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]))
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def list_pinned_by_scope(self, scope: str) -> List[MemoryPoint]:
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"""Alle pinned Punkte eines scope (system | personal). Fuer den
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getrennten Bootstrap-Export."""
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return self._scroll(filter=qm.Filter(must=[
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qm.FieldCondition(key="pinned", match=qm.MatchValue(value=True)),
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qm.FieldCondition(key="scope", match=qm.MatchValue(value=scope)),
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]))
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def list_index_titles(self, limit: int = 500) -> List[MemoryPoint]:
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"""Leichtgewichtiger Titel-Index des kalten Gedaechtnisses fuer den
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System-Prompt: ARIA sieht WAS sie an Nachschlage-Wissen hat (Zugangs-
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daten, Infrastruktur, Projekte) und holt den Inhalt bei Bedarf via
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memory_search — statt Stefan nach etwas zu fragen, das schon da ist.
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Bewusst NUR die deliberat gespeicherten Punkte:
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- nicht pinned (die sind eh schon voll im Prompt),
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- kein type=conversation (Chat-Mitschnitte),
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- kein source=distilled (die 100e auto-destillierten Gespraechs-
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Fakten — die traegt das semantische Auto-Retrieval, sie hier
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als Titel zu listen wuerde nur Kontext fressen).
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So bleibt der Index klein (Dutzende statt Hunderte Zeilen)."""
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return self._scroll(
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filter=qm.Filter(
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must_not=[
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qm.FieldCondition(key="pinned", match=qm.MatchValue(value=True)),
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qm.FieldCondition(key="type", match=qm.MatchValue(value="conversation")),
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qm.FieldCondition(key="source", match=qm.MatchValue(value="distilled")),
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]
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),
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limit=limit,
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)
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def list_by_type(self, type_: str, limit: int = 100) -> List[MemoryPoint]:
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return self._scroll(
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filter=qm.Filter(must=[
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@@ -252,6 +252,7 @@ def _parse_user_md(md: str, source_file: str) -> List[MemoryPoint]:
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type_="preference", title=f"User: {btitle}",
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content=btext, category="allgemein",
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migration_key=f"{source_file}/general-{idx}",
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scope="personal",
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))
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else:
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cat_key = re.sub(r"[^a-z0-9]+", "-", title.lower()).strip("-") or "allgemein"
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@@ -259,6 +260,7 @@ def _parse_user_md(md: str, source_file: str) -> List[MemoryPoint]:
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type_="preference", title=title,
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content=content, category=cat_key,
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migration_key=f"{source_file}/{cat_key}",
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scope="personal",
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))
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return points
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@@ -283,7 +285,11 @@ def _mk(
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migration_key: str,
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pinned: bool = True,
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category: str = "",
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scope: str = "system",
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) -> MemoryPoint:
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# scope-Default 'system': AGENT.md + TOOLING.md beschreiben ARIA selbst
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# (Identitaet, Sicherheit, Architektur) — das braucht jedes System.
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# USER.md-Praeferenzen sind personal und uebergeben scope='personal'.
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p = MemoryPoint(
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id="",
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type=type_,
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@@ -292,6 +298,7 @@ def _mk(
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pinned=pinned,
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category=category,
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source="import",
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scope=scope,
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tags=[],
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)
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# migration_key wird ueber Payload-Index angesprochen — in to_payload manuell anhaengen
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@@ -915,6 +915,7 @@ def apply(store: VectorStore, embedder: Embedder) -> dict:
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"pinned": True,
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"category": rule.get("category", ""),
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"source": "seed",
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"scope": "system",
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"tags": [],
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"created_at": now,
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"updated_at": now,
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+34
-12
@@ -1080,11 +1080,13 @@
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<div style="background:#0D0D1A;border-radius:6px;padding:10px 12px;margin-bottom:8px;">
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<div style="color:#FFD60A;font-weight:bold;font-size:12px;margin-bottom:4px;">2. Bootstrap-Snapshot (nur pinned)</div>
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<div style="color:#8888AA;font-size:11px;margin-bottom:8px;">
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Klein und schnell: <strong>nur</strong> die pinned Memories (Identität, Regeln, Präferenzen, Tools, Skills) als JSON.
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Use-Case: Wipe → Bootstrap-Import → ARIA hat Persönlichkeit zurück, sonst leer.
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Cold Memory (Konversations-Fakten) bleibt beim Import unangetastet.
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Getrennt nach <strong>scope</strong>: <span style="color:#3FFF3F;">System</span> = generische Regeln, die jeder braucht (Sicherheit, Ehrlichkeit, Skill-Regeln) — teilbar für ein frisches System.
|
||||
<span style="color:#FF9F0A;">Persönlich</span> = Stefan-spezifisch (Name, Zugangsdaten, Projekte) — bleibt privat.
|
||||
Import ersetzt nur die pinned Memories des jeweiligen scope; Cold Memory bleibt unangetastet.
|
||||
</div>
|
||||
<button class="btn secondary" onclick="exportBootstrap()" style="color:#FFD60A;border-color:#FFD60A;">⬇ Bootstrap exportieren (JSON)</button>
|
||||
<button class="btn secondary" onclick="exportBootstrap('system')" style="color:#3FFF3F;border-color:#3FFF3F;">⬇ System-Regeln exportieren</button>
|
||||
<button class="btn secondary" onclick="exportBootstrap('personal')" style="color:#FF9F0A;border-color:#FF9F0A;">⬇ Persönliches exportieren</button>
|
||||
<button class="btn secondary" onclick="exportBootstrap('all')" style="color:#FFD60A;border-color:#FFD60A;">⬇ Alles (Vollbackup)</button>
|
||||
<input type="file" id="bootstrap-import-file" accept=".json,application/json" style="display:none" onchange="importBootstrap(event)">
|
||||
<button class="btn secondary" onclick="document.getElementById('bootstrap-import-file').click()" style="color:#FFD60A;border-color:#FFD60A;">⬆ Bootstrap importieren</button>
|
||||
<div id="bootstrap-status" style="margin-top:8px;font-size:11px;color:#8888AA;"></div>
|
||||
@@ -1408,6 +1410,11 @@
|
||||
<input type="checkbox" id="memory-pinned">
|
||||
<span>📌 Pinned (Hot Memory — IMMER im System-Prompt)</span>
|
||||
</label>
|
||||
<label style="display:block;color:#8888AA;font-size:11px;margin-top:10px;margin-bottom:3px;">Scope (steuert Bootstrap-Export):</label>
|
||||
<select id="memory-scope" style="width:100%;background:#0D0D1A;color:#E0E0F0;border:1px solid #1E1E2E;padding:6px;border-radius:4px;font-family:inherit;margin-bottom:10px;">
|
||||
<option value="personal">🟠 Persönlich — Stefan-spezifisch, bleibt privat</option>
|
||||
<option value="system">🟢 System — generische Regel, teilbar für frisches System</option>
|
||||
</select>
|
||||
|
||||
<!-- Anhaenge — nur bei Edit (vorhandene ID) sichtbar -->
|
||||
<div id="memory-attachments-block" style="display:none;margin-top:14px;padding-top:10px;border-top:1px solid #1E1E2E;">
|
||||
@@ -5804,9 +5811,15 @@
|
||||
const typeBadge = withScore ? `<span style="color:#0096FF;font-size:10px;margin-right:6px;">${escapeHtml(BRAIN_TYPE_LABELS[m.type] || m.type)}</span>` : '';
|
||||
const attCount = Array.isArray(m.attachments) ? m.attachments.length : 0;
|
||||
const attBadge = attCount > 0 ? `<span style="color:#34C759;font-size:10px;margin-left:6px;" title="${attCount} Anhang${attCount === 1 ? '' : ' / Anhaenge'}">📎${attCount}</span>` : '';
|
||||
// scope-Badge nur bei pinned (nur die werden exportiert — da zaehlt die Trennung).
|
||||
const scopeBadge = m.pinned
|
||||
? (m.scope === 'system'
|
||||
? `<span style="color:#3FFF3F;font-size:9px;margin-left:6px;border:1px solid #3FFF3F;border-radius:3px;padding:0 3px;" title="System-Regel — kommt in den System-Export">SYS</span>`
|
||||
: `<span style="color:#FF9F0A;font-size:9px;margin-left:6px;border:1px solid #FF9F0A;border-radius:3px;padding:0 3px;" title="Persönlich — bleibt privat">PRIV</span>`)
|
||||
: '';
|
||||
return `<div style="padding:6px 0;border-bottom:1px solid #1E1E2E;display:flex;gap:6px;align-items:flex-start;">
|
||||
<div style="flex:1;min-width:0;cursor:pointer;" onclick="openMemoryModal('${m.id}')">
|
||||
<div style="color:#E0E0F0;font-size:12px;">${typeBadge}${pin}<strong>${escapeHtml(m.title || '(ohne Titel)')}</strong>${score}${attBadge}
|
||||
<div style="color:#E0E0F0;font-size:12px;">${typeBadge}${pin}<strong>${escapeHtml(m.title || '(ohne Titel)')}</strong>${score}${attBadge}${scopeBadge}
|
||||
${m.category ? `<span style="color:#555570;font-weight:normal;font-size:10px;margin-left:6px;">[${escapeHtml(m.category)}]</span>` : ''}
|
||||
</div>
|
||||
<div style="color:#888;font-size:11px;line-height:1.4;">${escapeHtml(preview)}${m.content && m.content.length > 140 ? '...' : ''}</div>
|
||||
@@ -6016,6 +6029,7 @@
|
||||
document.getElementById('memory-category').value = m.category || '';
|
||||
document.getElementById('memory-tags').value = (m.tags || []).join(', ');
|
||||
document.getElementById('memory-pinned').checked = !!m.pinned;
|
||||
document.getElementById('memory-scope').value = (m.scope === 'system') ? 'system' : 'personal';
|
||||
// Anhang-Block sichtbar — Liste rendern
|
||||
if (attBlock) attBlock.style.display = 'block';
|
||||
if (attHint) attHint.style.display = 'none';
|
||||
@@ -6029,6 +6043,7 @@
|
||||
document.getElementById('memory-category').value = '';
|
||||
document.getElementById('memory-tags').value = '';
|
||||
document.getElementById('memory-pinned').checked = false;
|
||||
document.getElementById('memory-scope').value = 'personal';
|
||||
// Bei neuem Memory: nur Hinweis, dass Anhaenge nach Save gehen
|
||||
if (attBlock) attBlock.style.display = 'none';
|
||||
if (attHint) attHint.style.display = 'block';
|
||||
@@ -6133,6 +6148,7 @@
|
||||
const category = document.getElementById('memory-category').value.trim();
|
||||
const tags = document.getElementById('memory-tags').value.split(',').map(t => t.trim()).filter(Boolean);
|
||||
const pinned = document.getElementById('memory-pinned').checked;
|
||||
const scope = document.getElementById('memory-scope').value || 'personal';
|
||||
|
||||
if (!title) { errEl.textContent = 'Titel fehlt.'; errEl.style.display = 'block'; return; }
|
||||
if (!content) { errEl.textContent = 'Inhalt fehlt.'; errEl.style.display = 'block'; return; }
|
||||
@@ -6143,13 +6159,13 @@
|
||||
r = await fetch('/api/brain/memory/update/' + encodeURIComponent(id), {
|
||||
method: 'PATCH',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ title, content, pinned, category, tags }),
|
||||
body: JSON.stringify({ title, content, pinned, category, scope, tags }),
|
||||
});
|
||||
} else {
|
||||
r = await fetch('/api/brain/memory/save', {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify({ type, title, content, pinned, category, tags, source: 'manual' }),
|
||||
body: JSON.stringify({ type, title, content, pinned, category, scope, tags, source: 'manual' }),
|
||||
});
|
||||
}
|
||||
if (!r.ok) {
|
||||
@@ -6526,11 +6542,12 @@
|
||||
}
|
||||
|
||||
// ── Bootstrap Export / Import ──────────────────────────
|
||||
async function exportBootstrap() {
|
||||
async function exportBootstrap(scope) {
|
||||
scope = scope || 'system';
|
||||
const status = document.getElementById('bootstrap-status');
|
||||
if (status) status.innerHTML = '⏳ Lade...';
|
||||
try {
|
||||
const r = await fetch('/api/brain/memory/export-bootstrap');
|
||||
const r = await fetch('/api/brain/memory/export-bootstrap?scope=' + encodeURIComponent(scope));
|
||||
if (!r.ok) throw new Error('HTTP ' + r.status);
|
||||
const data = await r.json();
|
||||
const blob = new Blob([JSON.stringify(data, null, 2)], { type: 'application/json' });
|
||||
@@ -6538,10 +6555,11 @@
|
||||
const ts = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
|
||||
const a = document.createElement('a');
|
||||
a.href = url;
|
||||
a.download = `aria-bootstrap-${ts}.json`;
|
||||
a.download = `aria-bootstrap-${scope}-${ts}.json`;
|
||||
document.body.appendChild(a); a.click();
|
||||
setTimeout(() => { URL.revokeObjectURL(url); a.remove(); }, 100);
|
||||
if (status) status.innerHTML = `<span style="color:#3FFF3F;">✓ ${data.count} pinned Memories exportiert</span>`;
|
||||
const label = scope === 'system' ? 'System-Regeln' : (scope === 'personal' ? 'persönliche Memories' : 'pinned Memories');
|
||||
if (status) status.innerHTML = `<span style="color:#3FFF3F;">✓ ${data.count} ${label} exportiert</span>`;
|
||||
} catch (e) {
|
||||
if (status) status.innerHTML = `<span style="color:#FF6B6B;">✗ ${e.message}</span>`;
|
||||
}
|
||||
@@ -6555,7 +6573,11 @@
|
||||
const text = await file.text();
|
||||
const bundle = JSON.parse(text);
|
||||
if (!Array.isArray(bundle.memories)) throw new Error('Datei hat kein "memories"-Array');
|
||||
if (!confirm(`Bootstrap importieren?\n\n${bundle.memories.length} pinned Memories aus "${file.name}".\n\nALLE aktuell pinned Memories werden überschrieben. Cold Memory bleibt unverändert.`)) {
|
||||
const bScope = bundle.scope || 'all';
|
||||
const scopeInfo = bScope === 'system' ? 'Nur die aktuell pinned SYSTEM-Regeln werden ersetzt — Persönliches bleibt.'
|
||||
: bScope === 'personal' ? 'Nur die aktuell pinned PERSÖNLICHEN Memories werden ersetzt — System-Regeln bleiben.'
|
||||
: 'ALLE aktuell pinned Memories werden überschrieben.';
|
||||
if (!confirm(`Bootstrap importieren? (scope: ${bScope})\n\n${bundle.memories.length} pinned Memories aus "${file.name}".\n\n${scopeInfo} Cold Memory bleibt unverändert.`)) {
|
||||
event.target.value = '';
|
||||
return;
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user