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https://github.com/infiniflow/ragflow.git
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c34c81e8e6
What problem does this PR solve? In rag/app/audio.py, the supported audio extensions list contains duplicate entries: .wav appears twice (positions 3 and 5) and .aac appears twice (positions 6 and 14). While this does not affect runtime behavior, it is redundant and makes the code harder to maintain. This PR removes the duplicate entries to keep the list clean and consistent. Type of change - [X] Bug Fix (non-breaking change which fixes an issue)
66 lines
2.5 KiB
Python
66 lines
2.5 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 logging
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import os
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import re
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import tempfile
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from common.constants import LLMType
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from api.db.services.llm_service import LLMBundle
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from api.db.joint_services.tenant_model_service import get_tenant_default_model_by_type
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from rag.nlp import rag_tokenizer, tokenize
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def chunk(filename, binary, tenant_id, lang, callback=None, **kwargs):
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doc = {"docnm_kwd": filename, "title_tks": rag_tokenizer.tokenize(re.sub(r"\.[a-zA-Z]+$", "", filename))}
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doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])
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# is it English
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is_english = lang.lower() == "english" # is_english(sections)
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try:
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_, ext = os.path.splitext(filename)
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if not ext:
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raise RuntimeError("No extension detected.")
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if ext not in [".da", ".wave", ".wav", ".mp3", ".aac", ".flac", ".ogg", ".aiff", ".au", ".midi", ".wma",
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".realaudio", ".vqf", ".oggvorbis", ".ape"]:
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raise RuntimeError(f"Extension {ext} is not supported yet.")
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tmp_path = ""
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with tempfile.NamedTemporaryFile(suffix=ext, delete=False) as tmpf:
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tmpf.write(binary)
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tmpf.flush()
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tmp_path = os.path.abspath(tmpf.name)
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callback(0.1, "USE Sequence2Txt LLM to transcription the audio")
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seq2txt_model_config = get_tenant_default_model_by_type(tenant_id, LLMType.SPEECH2TEXT)
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seq2txt_mdl = LLMBundle(tenant_id, seq2txt_model_config, lang=lang)
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ans = seq2txt_mdl.transcription(tmp_path)
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callback(0.8, "Sequence2Txt LLM respond: %s ..." % ans[:32])
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tokenize(doc, ans, is_english)
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return [doc]
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except Exception as e:
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callback(prog=-1, msg=str(e))
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finally:
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if tmp_path and os.path.exists(tmp_path):
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try:
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os.unlink(tmp_path)
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except Exception as e:
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logging.exception(f"Failed to remove temporary file: {tmp_path}, exception: {e}")
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pass
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return []
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