| # Licensed to the Apache Software Foundation (ASF) under one |
| # or more contributor license agreements. See the NOTICE file |
| # distributed with this work for additional information |
| # regarding copyright ownership. The ASF licenses this file |
| # to you under the Apache License, Version 2.0 (the |
| # "License"); you may not use this file except in compliance |
| # with the License. You may obtain a copy of the License at |
| # |
| # http://www.apache.org/licenses/LICENSE-2.0 |
| # |
| # Unless required by applicable law or agreed to in writing, |
| # software distributed under the License is distributed on an |
| # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| # KIND, either express or implied. See the License for the |
| # specific language governing permissions and limitations |
| # under the License. |
| |
| """FullTextSearch for performing full-text search with a structured query.""" |
| |
| from concurrent.futures import Future |
| from dataclasses import dataclass |
| from typing import List, Optional |
| |
| from pypaimon.globalindex.full_text_query import FullTextQuery |
| |
| |
| @dataclass |
| class FullTextSearch: |
| """ |
| FullTextSearch to perform full-text search with a structured query. |
| |
| Attributes: |
| query: The structured full-text query |
| limit: Maximum number of results to return |
| """ |
| |
| query: FullTextQuery |
| limit: int |
| |
| def __post_init__(self): |
| if self.query is None: |
| raise ValueError("Query cannot be None") |
| if self.limit <= 0: |
| raise ValueError(f"Limit must be positive, got: {self.limit}") |
| |
| @property |
| def columns(self) -> List[str]: |
| return self.query.referenced_columns() |
| |
| @property |
| def field_name(self) -> str: |
| return self.query.single_column() |
| |
| def query_json(self) -> str: |
| return self.query.to_json() |
| |
| def visit(self, visitor: 'GlobalIndexReader') -> 'Future[Optional[ScoredGlobalIndexResult]]': |
| """Visit the global index reader with this full-text search.""" |
| return visitor.visit_full_text_search(self) |
| |
| def __repr__(self) -> str: |
| return ( |
| f"FullTextSearch(columns={self.columns}, limit={self.limit}, " |
| f"query_json={self.query_json()})" |
| ) |