#
#  Copyright 2025 The InfiniFlow Authors. All Rights Reserved.
#
#  Licensed 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.
#
import logging
import os
import re
import tempfile

from common.constants import LLMType
from api.db.services.llm_service import LLMBundle
from api.db.joint_services.tenant_model_service import get_tenant_default_model_by_type
from rag.nlp import rag_tokenizer, tokenize


def chunk(filename, binary, tenant_id, lang, callback=None, **kwargs):
    doc = {"docnm_kwd": filename, "title_tks": rag_tokenizer.tokenize(re.sub(r"\.[a-zA-Z]+$", "", filename))}
    doc["title_sm_tks"] = rag_tokenizer.fine_grained_tokenize(doc["title_tks"])

    # is it English
    is_english = lang.lower() == "english"  # is_english(sections)
    try:
        _, ext = os.path.splitext(filename)
        if not ext:
            raise RuntimeError("No extension detected.")

        if ext not in [".da", ".wave", ".wav", ".mp3", ".aac", ".flac", ".ogg", ".aiff", ".au", ".midi", ".wma",
                       ".realaudio", ".vqf", ".oggvorbis", ".ape"]:
            raise RuntimeError(f"Extension {ext} is not supported yet.")

        tmp_path = ""
        with tempfile.NamedTemporaryFile(suffix=ext, delete=False) as tmpf:
            tmpf.write(binary)
            tmpf.flush()
            tmp_path = os.path.abspath(tmpf.name)

        callback(0.1, "USE Sequence2Txt LLM to transcription the audio")
        seq2txt_model_config = get_tenant_default_model_by_type(tenant_id, LLMType.SPEECH2TEXT)
        seq2txt_mdl = LLMBundle(tenant_id, seq2txt_model_config, lang=lang)
        ans = seq2txt_mdl.transcription(tmp_path)
        callback(0.8, "Sequence2Txt LLM respond: %s ..." % ans[:32])

        tokenize(doc, ans, is_english)
        return [doc]
    except Exception as e:
        callback(prog=-1, msg=str(e))
    finally:
        if tmp_path and os.path.exists(tmp_path):
            try:
                os.unlink(tmp_path)
            except Exception as e:
                logging.exception(f"Failed to remove temporary file: {tmp_path}, exception: {e}")
                pass
    return []