feat: Added QdrantStore

Author: b0r3y

datapipe/store/qdrant.py

@@ -0,0 +1,130 @@
+import pandas as pd
+import hashlib
+import uuid
+
+from typing import Dict, List, Optional
+from qdrant_client import QdrantClient
+from qdrant_client.conversions import common_types as types
+from qdrant_client.http import models as rest
+from qdrant_client.http.exceptions import UnexpectedResponse
+
+from datapipe.types import DataSchema, MetaSchema, IndexDF, DataDF, data_to_index
+from datapipe.store.table_store import TableStore
+
+
+class CollectionParams(rest.CreateCollection):
+    pass
+
+
+class QdrantStore(TableStore):
+    def __init__(
+        self,
+        name: str,
+        host: str,
+        port: int,
+        schema: DataSchema,
+        pk_field: str,
+        embedding_field: str,
+        collection_params: CollectionParams
+    ):
+        super().__init__()
+        self.name = name
+        self.host = host
+        self.port = port
+        self.schema = schema
+        self.pk_field = pk_field
+        self.embedding_field = embedding_field
+        self.collection_params = collection_params
+        self.inited = False
+        self.client = QdrantClient(host=self.host, port=self.port)
+
+        pk_columns = [column for column in self.schema if column.primary_key]
+
+        if len(pk_columns) != 1 and pk_columns[0].name != pk_field:
+            raise ValueError("Incorrect prymary key columns in schema")
+
+        self.paylods_filelds = [column.name for column in self.schema if column.name != self.embedding_field]
+
+    def __init(self):
+        try:
+            self.client.get_collection(self.name)
+        except UnexpectedResponse as e:
+            if e.status_code == 404:
+                self.client.http.collections_api.create_collection(
+                    collection_name=self.name,
+                    create_collection=self.collection_params
+                )
+
+    def __check_init(self):
+        if not self.inited:
+            self.__init()
+            self.inited = True
+
+    def __get_ids(self, df):
+        return df[self.pk_field].apply(
+            lambda x: str(uuid.UUID(bytes=hashlib.md5(str(x).encode('utf-8')).digest()))
+        ).to_list()
+
+    def get_primary_schema(self) -> DataSchema:
+        return [column for column in self.schema if column.primary_key]
+
+    def get_meta_schema(self) -> MetaSchema:
+        return []
+
+    def insert_rows(self, df: DataDF) -> None:
+        self.__check_init()
+
+        if len(df) == 0:
+            return
+
+        self.client.upsert(
+            self.name,
+            rest.Batch(
+                ids=self.__get_ids(df),
+                vectors=df[self.embedding_field].apply(list).to_list(),
+                payloads=df[self.paylods_filelds].to_dict(orient='records')
+            ),
+            wait=True,
+        )
+
+    def update_rows(self, df: DataDF) -> None:
+        self.insert_rows(df)
+
+    def delete_rows(self, idx: IndexDF) -> None:
+        self.__check_init()
+
+        if len(idx) == 0:
+            return
+
+        self.client.delete(
+            self.name,
+            rest.PointIdsList(
+                points=self.__get_ids(idx)
+            ),
+            wait=True,
+        )
+
+    def read_rows(self, idx: Optional[IndexDF] = None) -> DataDF:
+        self.__check_init()
+
+        if not idx:
+            raise Exception("Qrand doesn't support full store reading")
+
+        response = self.client.http.points_api.get_points(
+            self.name,
+            point_request=rest.PointRequest(
+                ids=self.__get_ids(idx),
+                with_payload=True,
+                with_vector=True
+            )
+        )
+
+        records = []
+
+        for point in response.result:
+            record = point.payload
+            record[self.embedding_field] = point.vector
+
+            records.append(record)
+
+        return pd.DataFrame.from_records(records)[[column.name for column in self.schema]]