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--story=1016225 --user=刘瑞斌 【北区】在现有的分段基础上，加个 「生成问题」 ，支持调用大模型 生成问题并关联到分段。 https://www.tapd.cn/57709429/s/1589572
84 lines
3.2 KiB
Python
84 lines
3.2 KiB
Python
# coding=utf-8
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"""
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@project: MaxKB
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@Author：虎
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@file： tools.py
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@date：2024/8/20 21:48
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@desc:
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"""
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import logging
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import re
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import traceback
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from common.util.fork import ChildLink, Fork
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from common.util.split_model import get_split_model
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from dataset.models import Type, Document, Status
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max_kb_error = logging.getLogger("max_kb_error")
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max_kb = logging.getLogger("max_kb")
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def get_save_handler(dataset_id, selector):
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from dataset.serializers.document_serializers import DocumentSerializers
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def handler(child_link: ChildLink, response: Fork.Response):
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if response.status == 200:
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try:
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document_name = child_link.tag.text if child_link.tag is not None and len(
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child_link.tag.text.strip()) > 0 else child_link.url
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paragraphs = get_split_model('web.md').parse(response.content)
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DocumentSerializers.Create(data={'dataset_id': dataset_id}).save(
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{'name': document_name, 'paragraphs': paragraphs,
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'meta': {'source_url': child_link.url, 'selector': selector},
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'type': Type.web}, with_valid=True)
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except Exception as e:
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logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')
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return handler
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def get_sync_web_document_handler(dataset_id):
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from dataset.serializers.document_serializers import DocumentSerializers
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def handler(source_url: str, selector, response: Fork.Response):
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if response.status == 200:
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try:
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paragraphs = get_split_model('web.md').parse(response.content)
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# 插入
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DocumentSerializers.Create(data={'dataset_id': dataset_id}).save(
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{'name': source_url[0:128], 'paragraphs': paragraphs,
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'meta': {'source_url': source_url, 'selector': selector},
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'type': Type.web}, with_valid=True)
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except Exception as e:
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logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')
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else:
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Document(name=source_url[0:128],
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dataset_id=dataset_id,
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meta={'source_url': source_url, 'selector': selector},
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type=Type.web,
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char_length=0,
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status=Status.error).save()
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return handler
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def save_problem(dataset_id, document_id, paragraph_id, problem):
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from dataset.serializers.paragraph_serializers import ParagraphSerializers
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# print(f"dataset_id: {dataset_id}")
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# print(f"document_id: {document_id}")
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# print(f"paragraph_id: {paragraph_id}")
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# print(f"problem: {problem}")
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problem = re.sub(r"^\d+\.\s*", "", problem)
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pattern = r"<question>(.*?)</question>"
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match = re.search(pattern, problem)
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problem = match.group(1) if match else None
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if problem is None or len(problem) == 0:
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return
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try:
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ParagraphSerializers.Problem(
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data={"dataset_id": dataset_id, 'document_id': document_id,
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'paragraph_id': paragraph_id}).save(instance={"content": problem}, with_valid=True)
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except Exception as e:
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max_kb_error.error(f'关联问题失败: {e}')
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