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63 lines
2.9 KiB
63 lines
2.9 KiB
from pprint import pprint
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from paddlenlp import Taskflow
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import pandas as pd
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from tqdm import tqdm
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import os
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import sys
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sys.path.append(os.getcwd())
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from config import kg_data,study_path_data
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def get_knowledge(name):
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ner_fast = Taskflow("ner", mode="fast")#快速模式
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title = ner_fast(name)
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# print(title)
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word_str=""
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label = ["n",'nr','nz','s','ns','an','vn','c','f','u','v']
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word = ['部分',"专题","阶段","Chap","上","下",'I','II',"III","pdf",'ppt','word','xlsx','txt','docx','DOC','zip','doc','xls','ch','v2','jpg','v4','PNG','png','pptx']
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for w in title:
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if w[1] in label and w[0] not in word:
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word_str+=w[0]
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return word_str
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if __name__ == '__main__':
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stage_item = pd.read_csv(study_path_data+'stage_items.csv',sep='\t')
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shixuns = pd.read_csv(study_path_data+'shixuns.csv',sep='\t')
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attachments = pd.read_csv(study_path_data+'attachments.csv',sep='\t')
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video_items = pd.read_csv(study_path_data+'video_item.csv',sep='\t')
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shixuns.rename(columns={'shixun_id':'item_id'},inplace=True)
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attachments.rename(columns={'attachment_id':'item_id'},inplace=True)
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video_items.rename(columns={'video_item_id':'item_id'},inplace=True)
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#提取实训知识点
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stage_shixun = stage_item[stage_item["item_type"]=='Shixun']
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stage_shixuns = pd.merge(stage_shixun,shixuns,on='item_id')
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stage_shixuns = stage_shixuns[['stage_id','item_id','item_type','shixun_name']]
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stage_shixuns['knowledge'] = ''
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for i in tqdm(range(len(stage_shixuns))):
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stage_shixuns['knowledge'][i] = get_knowledge(stage_shixuns['shixun_name'][i])
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stage_shixuns.rename(columns={'shixun_name':'item_name'},inplace=True)
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stage_shixuns.to_csv(kg_data+'stage_shixuns.csv',sep='\t',index=False)
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#提取课件知识点
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stage_attachment = stage_item[stage_item["item_type"]=='Attachment']
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stage_attachments = pd.merge(stage_attachment,attachments,on='item_id')
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stage_attachments = stage_attachments[['stage_id','item_id','item_type','filename']]
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stage_attachments['knowledge'] = ''
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for i in tqdm(range(len(stage_attachments))):
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stage_attachments['knowledge'][i] = get_knowledge(stage_attachments['filename'][i])
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stage_attachments.rename(columns={'filename':'item_name'},inplace=True)
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stage_attachments.to_csv(kg_data+'stage_attachments.csv',sep='\t',index=False)
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#提取视频知识点
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stage_video = stage_item[stage_item["item_type"]=='VideoItem']
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stage_videos = pd.merge(stage_video,video_items,on='item_id')
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stage_videos = stage_videos[['stage_id','item_id','item_type','video_name']]
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stage_videos['knowledge'] = ''
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for i in tqdm(range(len(stage_videos))):
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stage_videos['knowledge'][i] = get_knowledge(stage_videos['video_name'][i])
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stage_videos.rename(columns={'video_name':'item_name'},inplace=True)
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stage_videos.to_csv(kg_data+'stage_videos.csv',sep='\t',index=False)
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