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https://github.com/infiniflow/ragflow.git
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b7744e053e
fix: support dense_vector from ES fields response (ES 9.x compatibility) - [x] Bug Fix (non-breaking change which fixes an issue) - [x] Configuration Chore (non-breaking change which updates configuration) ## Summary by CodeRabbit * **Bug Fixes** * More accurate handling and unwrapping of dense-vector fields so returned values have correct shapes. * Field selection reliably limits returned data and falls back to alternate result locations when needed. * Use of consistent result IDs and tolerant handling when score values are missing. * **Chores / Configuration** * Increased build memory and adjusted build-time flags for the frontend build. * Simplified runtime model/GPU checks and removed an automated runtime GPU-install attempt. * **Build Fixes** * `web/vite.config.ts`: make `build.minify` and `build.sourcemap` respect `VITE_MINIFY` and `VITE_BUILD_SOURCEMAP` env vars from Dockerfile instead of hardcoding `terser` and `true`. * **Environment** * Allow stack version override and default the runtime image tag to "latest". <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **Bug Fixes** * Correct unwrapping of dense-vector fields and reliable field selection with fallback locations. * Consistent use of hit-level IDs and tolerant handling when score values are missing. * **Chores / Configuration** * Increased frontend build memory and added build-time minify/sourcemap flags; build minification and sourcemap now configurable. * Removed runtime GPU detection for model initialization; force CPU initialization. * **Environment** * Allow stack version override and default runtime image tag to "latest". <!-- end of auto-generated comment: release notes by coderabbit.ai --> --------- Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
51 lines
2.1 KiB
Python
51 lines
2.1 KiB
Python
#
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# Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
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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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#
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import pytest
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from test_common import batch_create_datasets, list_datasets, delete_datasets
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from libs.auth import RAGFlowWebApiAuth
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from pytest import FixtureRequest
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from ragflow_sdk import RAGFlow
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@pytest.fixture(scope="class")
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def add_datasets(request: FixtureRequest, client: RAGFlow, WebApiAuth: RAGFlowWebApiAuth) -> list[str]:
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dataset_ids = batch_create_datasets(WebApiAuth, 5)
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def cleanup():
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# Web KB cleanup cannot call SDK dataset bulk delete with empty ids; deletion must stay explicit.
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res = list_datasets(WebApiAuth, params={"page_size": 1000})
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existing_ids = {kb["id"] for kb in res["data"]}
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ids_to_delete = list({dataset_id for dataset_id in dataset_ids if dataset_id in existing_ids})
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delete_datasets(WebApiAuth, {"ids": ids_to_delete})
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request.addfinalizer(cleanup)
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return dataset_ids
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@pytest.fixture(scope="function")
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def add_datasets_func(request: FixtureRequest, client: RAGFlow, WebApiAuth: RAGFlowWebApiAuth) -> list[str]:
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dataset_ids = batch_create_datasets(WebApiAuth, 3)
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def cleanup():
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# Web KB cleanup cannot call SDK dataset bulk delete with empty ids; deletion must stay explicit.
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res = list_datasets(WebApiAuth, params={"page_size": 1000})
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existing_ids = {kb["id"] for kb in res["data"]}
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ids_to_delete = list({dataset_id for dataset_id in dataset_ids if dataset_id in existing_ids})
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delete_datasets(WebApiAuth, {"ids": ids_to_delete})
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request.addfinalizer(cleanup)
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return dataset_ids
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