c46efe1241
* refactor: change rerank interface from map-based to vector-based (#452) - Define QueryResult = list[Doc] type alias in doc.py - Change C++ Reranker::rerank() signature from map<string, DocPtrList> to vector<DocPtrList> - Extend bind_schema() to accept field_names for index-based field lookup - Update ScoreBasedReranker/WeightedReranker/CallbackReranker implementations - Adapt collection.cc MultiQuery path to use vector<DocPtrList> - Update Python binding to expose rerank() and use vector<double> weights - Refactor Python RerankFunction interface to list[QueryResult] -> QueryResult - Remove Python-layer rerank logic from RrfReRanker/WeightedReRanker (delegate to C++) - Update query_executor to return list[list[Doc]] instead of dict - Update all related unit tests (C++ and Python) * refactor: replace list[Doc] with QueryResult type alias in executor and rerank functions * refactor: replace list[list[Doc]] with list[QueryResult] in query_executor * fix: remove unused Doc import in rerank_function.py (ruff F401) * refactor(query_executor): merge duplicate rerank return paths * refactor: RrfReRanker/WeightedReRanker.rerank() directly call C++ reranker * refactor: simplify QueryExecutor into unified class, remove Factory/subclasses/validation/concurrency * refactor: rename _VectorQuery to _SearchQuery, from_vector_query to from_search_query * refactor(query_executor): split execute into single/multi paths, rename core_vector to search_query, drop unused core_vectors * style: apply ruff formatter to test_reranker.py and query_executor.py * refactor: make rescore() private in ScoreBasedReranker hierarchy * style: apply clang-format to reranker.h * style: apply clang-format to all modified C++ files * refactor: rename private methods in QueryExecutor for clearer semantics * refactor: rename mvq to multi_query for clarity * fix: make BasicRRF test order-independent for equal scores * fix: update collection_test to use vector-based reranker interface * fix: update reranker tests to expect TypeError instead of NotImplementedError * refactor: remove PendingQuery wrapper, use SearchQuery directly in MultiQuery path * refactor: simplify MultiQuery path - remove seen_fields, merge field_names into main loop * fix: address review comments - defensive checks and remove fields param from C API - ScoreBasedReranker::rerank(): early return empty list when topn <= 0 - WeightedReranker::rescore(): null-check schema_ before use - CallbackReranker::rerank(): check callback_ is not empty before invoke - C API zvec_reranker_create_weighted(): remove unused fields parameter * fix: remove duplicate field name test (check was intentionally removed) * fix: address egolearner review comments - Rename QueryResult to DocList for clarity (见名知义) - Change docstring to #: comment for type alias - Fix output_fields check: use 'is not None' instead of truthy check (None means unset, [] means explicit empty list - different semantics) - Raise ValueError when search-by-id finds no document * refactor: remove redundant output_fields assignment in _build_search_query * refactor: address egolearner review comments (C++ refactoring) - c_api.cc: simplify weighted reranker creation with inline vector ctor - python_reranker.cc: refactor unwrap_rerank_result - take by value, early error return, move semantics - Rename C API functions for consistent naming: zvec_reranker_create_rrf -> zvec_create_rrf_reranker zvec_reranker_create_weighted -> zvec_create_weighted_reranker zvec_reranker_destroy -> zvec_destroy_reranker zvec_reranker_get_rank_constant -> zvec_get_reranker_rank_constant - reranker.h/cc: bind_schema returns Result<void>, caches vector<const FieldSchema*> to avoid repeated schema lookups in rescore - python_param.cc: rename py::arg vector_query to search_query * revert: rollback bind_schema refactoring due to thread-safety concern The field_schemas_ caching approach introduces a data race when the same WeightedReranker instance is shared across concurrent queries: bind_schema() writes field_schemas_ while rerank() reads it concurrently. Revert to storing schema_ + field_names_ and looking up fields in rescore(). Add @note thread-safety warning to WeightedReranker class documentation. * fix: unify error message format in collection.cc Change 'Vector field not found: X' to 'Invalid query: field X not found' for consistent error formatting as suggested by zhourrr. * fix: sort __all__ and remove duplicates in __init__.pyi Fix RUF022 lint error: sort __all__ alphabetically and remove duplicate entries (DenseEmbeddingFunction, ReRanker). * style: format query_executor.py with ruff formatter * fix: resolve Python test failures after FTS rebase integration - test_query_executor.py: update method names to match refactored API (_do_build -> _build_queries, _do_merge_rerank_results -> _merge_and_rerank) - test_reranker.py: fix expected exception type (TypeError from pybind11) - test_collection_fts.py: update error message match patterns - test_collection_fts_vector_hybrid.py: remove obsolete 'metrics' param, update weights from dict to positional list, adapt validation tests for multi-vector queries (now supported with reranker) - test_collection_dql.py: remove 'metrics' param, update weights format - collection.cc: distinguish FTS vs vector fields in MultiQuery path using get_fts_clause() to route field lookup correctly - reranker.cc: use get_field() instead of get_vector_field() in rescore to support FTS+vector hybrid weighted reranking * refactor: pass topn as rerank() parameter, move rerank_field to model rerankers * fix: address review comments - rename test functions and restore duplicate field check * refactor: simplify MultiQuery field lookup, let validate_and_sanitize handle type check
25 lines
749 B
Python
25 lines
749 B
Python
# Copyright 2025-present the zvec project
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from __future__ import annotations
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from .query_executor import (
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QueryContext,
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QueryExecutor,
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)
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__all__ = [
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"QueryContext",
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"QueryExecutor",
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]
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