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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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"""Shared setup for RAGFlow unit tests.
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Several parsers and the chunking pipeline tokenize text with NLTK, which needs
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the ``punkt_tab`` and ``wordnet`` data sets. Production provisions these via
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``download_deps.py`` (into ``nltk_data``, exported as ``NLTK_DATA`` by
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``docker/launch_backend_service.sh``) and ``api.validation`` at startup, but the
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unit-test runner has neither. Without the data, tokenizer-backed tests such as
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``test_epub_parser`` and ``test_dataflow_service`` fail with
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``LookupError: Resource 'punkt_tab' not found``. Make sure the data is reachable
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before any test imports a tokenizer: reuse a provisioned ``nltk_data`` directory
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when present, and download only what is still missing.
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"""
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import os
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import nltk
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# Reuse data already fetched by download_deps.py (the directory the app exports
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# as NLTK_DATA) so provisioned environments do not download it again.
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_REPO_ROOT = os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir, os.pardir))
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_LOCAL_NLTK_DATA = os.path.join(_REPO_ROOT, "ragflow_deps", "nltk_data")
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if os.path.isdir(_LOCAL_NLTK_DATA) and _LOCAL_NLTK_DATA not in nltk.data.path:
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nltk.data.path.insert(0, _LOCAL_NLTK_DATA)
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# (download name, resource path used by nltk.data.find)
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_REQUIRED_NLTK_DATA = (
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("punkt_tab", "tokenizers/punkt_tab"),
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("wordnet", "corpora/wordnet"),
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)
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for _name, _find_path in _REQUIRED_NLTK_DATA:
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try:
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nltk.data.find(_find_path)
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except LookupError:
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nltk.download(_name, quiet=True)
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