为什么这段代码的text_content写入不了和pipelines同级的文件新闻.txt

这段代码没有明确指定`txt_file_path`相对于`pipelines`模块的具体路径，所以默认情况下，会在Python脚本运行时的当前工作目录（即`pipelines`所在的目录）寻找`新闻.txt`文件。如果该文件不在这个目录下，那么写入操作就会失败。

如果你希望在`pipelines`模块级别（也就是同一个目录层次）写入文件，你应该提供一个表示相对路径的方式。例如，假设`pipelines`目录名在项目结构中的正确位置，你可以这样做：

from pathlib import Path

pipelines_dir = Path(__file__).resolve().parent.parent / 'data'  # 获取pipelines文件夹的上级目录
txt_file_path = pipelines_dir / '新闻.txt'

with open(txt_file_path, 'w', encoding='utf-8') as txt_file:
    txt_file.write(text_content)

这里，我们使用了`pathlib.Path`来获取`pipelines`的父目录，然后构造出`新闻.txt`的完整路径。确保`data`子目录存在并且有写权限，这样才能成功写入文件。

相关问题

import ast from dataclasses import dataclass from typing import List import pandas as pd import json ["text", "六十一岁还能办什么保险"] @dataclass class FAQ: title: str sim_questions: List[str] answer: str faq_id: int ori_data = pd.read_csv('baoxianzhidao_filter.csv') data = [] exist_titles = set() for index, row in enumerate(ori_data.iterrows()): row_dict = row[1] title = row_dict['title'] if title not in exist_titles: data.append(FAQ(title=title, answer=row_dict['reply'], sim_questions=[title], faq_id=index)) exist_titles.add(title) from modelscope.pipelines import pipeline from modelscope.utils.constant import Tasks pipeline_ins = pipeline(Tasks.faq_question_answering, 'damo/nlp_mgimn_faq-question-answering_chinese-base') bsz = 32 all_sentence_vecs = [] batch = [] sentence_list = [faq.title for faq in data] for i,sent in enumerate(sentence_list): batch.append(sent) if len(batch) == bsz or (i == len(sentence_list)-1 and len(batch)>0): # if i == len(sentence_list)-1 and len(batch)>0: sentence_vecs = pipeline_ins.get_sentence_embedding(batch) all_sentence_vecs.extend(sentence_vecs) batch.clear() import faiss import numpy as np hidden_size = pipeline_ins.model.network.bert.config.hidden_size # hidden_size = pipeline_ins.model.bert.config.hidden_size index = faiss.IndexFlatIP(hidden_size) vecs = np.asarray(all_sentence_vecs, dtype='float32') index.add(vecs) from modelscope.outputs import OutputKeys def ask_faq(input, history=[]): # step1: get sentence vector of query query_vec = pipeline_ins.get_sentence_embedding([input])[0] query_vec = np.asarray(query_vec, dtype='float32').reshape([1, -1]) # step2: faq dense retrieval _, indices = index.search(query_vec, k=30) # step3: build support set support_set = [] for i in indices.tolist()[0]: faq = data[i] support_set.append({"text": faq.title, "label": faq.faq_id, "index": i}) # step4: faq ranking rst = pipeline_ins(input={"query_set": input, "support_set": support_set}) rst = rst[OutputKeys.OUTPUT][0][0] pred_label = rst['label'] pred_score = rst['score'] # get answer by faq_id pred_answer = "" pred_title = "" for faq in data: if faq.faq_id == pred_label: pred_answer = faq.answer pred_title = faq.title break history.append((f'{pred_answer}|(pred_title:{pred_title},pred_score:{pred_score:.3f})')) return history优化这段代码

这段代码是一个Python脚本，用于读取CSV文件中的保险相关问题和答案，构建一个FAQ对象（包含问题、答案、相似问题和FAQ ID），并使用modelscope库中的pipeline进行常见问题解答。其中用到了ast、dataclass、List、pandas和json等Python模块。具体实现过程请参考上述代码。

perl ../../../../../../cdk_qcx/tools/usecaseconverter/usecaseconverter.pl ../../../../../../cdk_qcx/oem/qcom/topology/titan/common/common_usecase.xml ../../../../../../cdk_qcx/api/../oem/qcom/chiusecase/common/ ../../../../../../cdk_qcx/api/../oem/qcom/chiusecase/common//g_pipelines.cpp mulsanne ../../../../../../cdk_qcx/oem/qcom/topology/socidtargetmap.xml ../../../../../../cdk_qcx/oem/qcom/topology/titan/usecase-components//transition_modes/transition_modes.xml Can't locate XML/Simple.pm in @INC (you may need to install the XML::Simple module) (@INC contains: /etc/perl /usr/local/lib/x86_64-linux-gnu/perl/5.34.0 /usr/local/share/perl/5.34.0 /usr/lib/x86_64-linux-gnu/perl5/5.34 /usr/share/perl5 /usr/lib/x86_64-linux-gnu/perl-base /usr/lib/x86_64-linux-gnu/perl/5.34 /usr/share/perl/5.34 /usr/local/lib/site_perl) at ../../../../../../cdk_qcx/tools/usecaseconverter/usecaseconverter.pl line 11. BEGIN failed--compilation aborted at ../../../../../../cdk_qcx/tools/usecaseconverter/usecaseconverter.pl line 11. Makefile:54: recipe for target 'hinstall' failed make[10]: *** [hinstall] Error 2 make[10]: Leaving directory '/home/cxzj/bin/apps/qnx_ap/AMSS/multimedia/qcamera/camera_qcx/build/qnx/cdk_qcx/vendor/chioverride/generated' recurse.mk:96: recipe for target 'hinstall' failed make[9]: *** [hinstall] Error 2

根据错误信息，您仍然遇到了缺少 XML::Simple 模块的问题。请按照之前提供的方法来安装该模块。

cpan XML::Simple

安装完成后，请再次尝试运行编译命令，应该就能够成功编译了。如果问题仍然存在，请确保您的 Perl 环境正确配置，并且 XML::Simple 模块已正确安装。