update

backend/apps/ai_admin/planner.py

@@ -8,6 +8,7 @@ from core.db import SessionLocal
 from apps.ai_core.ollama_client import get_llm
 from apps.ai_core.tools import describe_for_prompt, get_tool, validate_args
 from apps.catalog.models import Category, Product
+from apps.orders.models import Order
 
 
 SYSTEM_PROMPT = """You are an admin assistant for an e-commerce shop.
@@ -44,7 +45,11 @@ def _shop_state_snapshot() -> dict:
             {"id": c.id, "slug": c.slug, "name_de": (c.name or {}).get("de", "")}
             for c in db.query(Category).order_by(Category.id).all()
         ]
-        return {"products": products, "categories": categories}
+        orders = [
+            {"id": o.id, "status": o.status, "total": float(o.total)}
+            for o in db.query(Order).order_by(Order.id.desc()).limit(20).all()
+        ]
+        return {"products": products, "categories": categories, "orders": orders}
     finally:
         db.close()
 
@@ -54,7 +59,7 @@ def build_plan(user_prompt: str) -> list[dict]:
     state = _shop_state_snapshot()
     user_msg = (
         f"TOOL CATALOG (JSON):\n{json.dumps(tools, ensure_ascii=False)}\n\n"
-        f"SHOP STATE (current products & categories):\n{json.dumps(state, ensure_ascii=False)}\n\n"
+        f"SHOP STATE (current products, categories, recent orders):\n{json.dumps(state, ensure_ascii=False)}\n\n"
         f"USER REQUEST:\n{user_prompt}\n\n"
         "Reply with ONLY the JSON object described in the rules."
     )

backend/apps/ai_admin/tool_defs.py

@@ -216,10 +216,49 @@ CATEGORY_CREATE = ToolSpec(
 )
 
 
+# ---- orders.update_status -----------------------------------------
+
+
+def _handler_order_status(args: dict, db: Session) -> dict:
+    from apps.orders.models import Order, OrderStatusHistory
+
+    order_id = int(args["id"])
+    o = db.get(Order, order_id)
+    if not o:
+        raise ValueError(f"Order {order_id} not found")
+    new_status = args["status"]
+    note = _coalesce(args.get("note"), "")
+    o.status = new_status
+    db.add(OrderStatusHistory(order_id=order_id, status=new_status, note=note))
+    db.commit()
+    event_bus.publish("order.status_changed", {"id": order_id, "status": new_status}, db=db)
+    return {"id": order_id, "status": new_status}
+
+
+ORDER_STATUS = ToolSpec(
+    name="orders.update_status",
+    description="Change the status of an order (e.g. paid, packed, shipped, delivered, cancelled).",
+    args_schema={
+        "type": "object",
+        "required": ["id", "status"],
+        "properties": {
+            "id": {"type": "integer", "description": "Order ID"},
+            "status": {
+                "type": "string",
+                "description": "New status: paid, packed, shipped, delivered, cancelled",
+            },
+            "note": {"type": "string", "description": "Optional note"},
+        },
+    },
+    handler=_handler_order_status,
+    examples=[{"id": 1, "status": "shipped", "note": "DHL versendet"}],
+)
+
+
 # ---- registration -------------------------------------------------
 
 
-ALL_TOOLS = [SETTINGS_UPDATE, PRODUCT_CREATE, PRODUCT_UPDATE, CATEGORY_CREATE]
+ALL_TOOLS = [SETTINGS_UPDATE, PRODUCT_CREATE, PRODUCT_UPDATE, CATEGORY_CREATE, ORDER_STATUS]
 
 
 def register_all() -> None:

backend/core/config.py

@@ -12,9 +12,9 @@ class Settings(BaseSettings):
     MEILI_KEY: str = "shop-dev-master-key"
 
     OLLAMA_URL: str = "http://localhost:11434"
-    OLLAMA_CHAT_MODEL: str = "llama3.1"
-    OLLAMA_EMBED_MODEL: str = "nomic-embed-text"
-    OLLAMA_EMBED_DIM: int = 768
+    OLLAMA_CHAT_MODEL: str = "qwen2.5:7b"
+    OLLAMA_EMBED_MODEL: str = "bge-m3"
+    OLLAMA_EMBED_DIM: int = 1024
 
     SMTP_HOST: str = "localhost"
     SMTP_PORT: int = 1025

backend/core/migrations/versions/0007_ai_embed_1024.py

@@ -0,0 +1,28 @@
+"""ai_core: change embedding dim from 768 to 1024 (bge-m3)
+
+Revision ID: 0007_embed1024
+Revises: 0006_ai_core
+Create Date: 2026-04-17
+
+"""
+from collections.abc import Sequence
+
+import sqlalchemy as sa
+from alembic import op
+
+revision: str = "0007_embed1024"
+down_revision: str | None = "0006_ai_core"
+branch_labels: str | Sequence[str] | None = None
+depends_on: str | Sequence[str] | None = None
+
+
+def upgrade() -> None:
+    # Drop and recreate with new dimension — truncating old embeddings is fine,
+    # reindex will rebuild them.
+    op.execute("DELETE FROM ai_documents")
+    op.execute("ALTER TABLE ai_documents ALTER COLUMN embedding TYPE vector(1024)")
+
+
+def downgrade() -> None:
+    op.execute("DELETE FROM ai_documents")
+    op.execute("ALTER TABLE ai_documents ALTER COLUMN embedding TYPE vector(768)")