feat: qdrant store mit ensure/upsert/delete-by-path

app/qdrant_store.py

@@ -0,0 +1,54 @@
+import uuid
+from dataclasses import dataclass
+from typing import Any
+
+from qdrant_client import QdrantClient
+from qdrant_client.http import models as qm
+
+
+@dataclass(frozen=True)
+class ChunkPoint:
+    vector: list[float]
+    payload: dict[str, Any]
+
+
+def ensure_collection(client: QdrantClient, name: str, vector_size: int) -> None:
+    """Create the collection if missing. Crash if it exists with wrong dim."""
+    if not client.collection_exists(name):
+        client.create_collection(
+            collection_name=name,
+            vectors_config=qm.VectorParams(size=vector_size, distance=qm.Distance.COSINE),
+        )
+        for field in ("file_path", "semester", "fach"):
+            client.create_payload_index(
+                collection_name=name,
+                field_name=field,
+                field_schema=qm.PayloadSchemaType.KEYWORD,
+            )
+        return
+
+    info = client.get_collection(name)
+    existing = info.config.params.vectors.size
+    if existing != vector_size:
+        raise RuntimeError(
+            f"qdrant collection '{name}' dimension mismatch: "
+            f"existing={existing}, model={vector_size}. "
+            "Drop the collection manually and run a bulk import."
+        )
+
+
+def upsert_chunks(client: QdrantClient, name: str, chunks: list[ChunkPoint]) -> None:
+    points = [
+        qm.PointStruct(id=str(uuid.uuid4()), vector=c.vector, payload=c.payload)
+        for c in chunks
+    ]
+    client.upsert(collection_name=name, points=points)
+
+
+def delete_by_path(client: QdrantClient, name: str, file_path: str) -> None:
+    selector = qm.FilterSelector(
+        filter=qm.Filter(
+            must=[qm.FieldCondition(key="file_path", match=qm.MatchValue(value=file_path))]
+        )
+    )
+    client.delete(collection_name=name, points_selector=selector)