将 kwargs 附加到列表时出现 KeyError python

Question

我有一个功能可以搜索文本文件每个段落内的关系。如果找到，它 returns 找到与该段落的关系并搜索该段落中是否存在任何颜色。的样本 metadata.csv 查找段落关系的文件如下：

Blister     Base Web    PVC/PVDC
Blister     Foil         Aluminium
Blister     Base Web    PVC/PVDC
Blister     Foil         Aluminium
Vial        Glass       Borosilicate Glass
Vial        Stopper     Bromobutyl Rubber
Vial        Cap         Aluminium

示例文本文件如下：

The tablets are filled into cylindrically shaped bottles made of white coloured
polyethylene. The volumes of the bottles depend on the tablet strength and amount of
tablets, ranging from 20 to 175 ml. The screw type cap is made of white coloured
polypropylene and is equipped with a tamper proof ring.

PVC/PVDC blister pack

Blisters are made in a thermo-forming process from a PVC/PVDC base web. Each tablet
is filled into a separate blister and a lidding foil of aluminium is welded on. The blisters
are opened by pressing the tablets through the lidding foil. PVDC foil is in contact with
the tablets.

Aluminium blister pack

Blisters are made in a cold-forming process from an aluminium base web. Each tablet is
filled into a separate blister and a lidding foil of aluminium is welded on. The blisters
are opened by pressing the tablets through the lidding foil.

提取这个的函数如下：

import csv
import re
import os
#import pdb         
def extractor(filepath):
    #pdb.set_trace()
    #pdb.set_trace()    
    TEXT_WITHOUT_COLOUR = 'Stage {counter} : Package Description: {sen} Values: {values}'
    TEXT_WITH_COLOUR = TEXT_WITHOUT_COLOUR + ','  ' Colour: {colour}'
    colours = ['White', 'Yellow', 'Blue', 'Green', 'Black', 'Brown', 'Silver', 'Purple', 'Navy blue', 'Gray', 'Orange', 'Maroon', 'pink', 'colourless', 'blue']
    counter = 1
    result = [] 
    unique_desc = [] #every unique description is stored 
    outputs      = [] 
    with open(filepath, encoding='utf-8') as f:
        data=f.read()
        paragraphs=data.split("\n\n")
    inputfile = r"C:\Users\metadata.csv"                
    inputm = []

    with open(inputfile, "r") as f:
        reader = csv.reader(f, delimiter="\t")
        for row in reader:
            #types = row.split(',')
            inputm.append(row)

    final_ref = [] 
    for lists in inputm:
        final_ref.append(str(lists[0]).split(','))
    def is_missing(words, sen):
        for w in words:
            if w.lower() not in sen.lower():
                return True
        return False



    #pdb.set_trace()
    for sen in paragraphs:
        for words in final_ref:

#            print(sen)
#            print("HHHHHHHHHHHHHHHHHHHHXXXXXXXXXXXXXX")
            if is_missing(words, sen):
                continue

            kwargs = {
                'counter': counter,
                'sen': sen,
                'values': str(words)
            }

            if (words[0] == 'Bottle') or (words[0]=='Vial') or (words[0] =='Container') or (words[0] =='Ampoules') or (words[0] =='Occlusive Dressing'):
                for wd in colours:
                    if wd.lower() in sen.lower():
                        kwargs['colour'] = wd
                        break
                text_const = TEXT_WITH_COLOUR
            else:
                text_const = TEXT_WITHOUT_COLOUR

            result.append(text_const.format(**kwargs).replace('\n', '').replace('\t', ''))

#         


            for desc in result:

                compare = re.search(r'Package Description:(.*?)Values:',desc).group(1).replace(' ','') #clean spaces

                if compare in unique_desc:  

                    group = str(unique_desc.index(compare)+1) #index starts in 0 and group in 1     
                    desc = re.sub('Stage \d','Group '+group, desc)
                    outputs.append(desc)

                else: 

                    unique_desc.append(compare)     
                    group = str(len(unique_desc))    #new group

                    desc = re.sub('Stage \d','Group '+group, desc)
                    outputs.append(desc)
                    counter+=1
                    #continue
                    #break



            #counter += 1



#    return output            
    return (sorted(set(outputs)))

对于少数文件，我收到错误“

File "<ipython-input-56-f725b589f198>", line 63, in extractor
    result.append(text_const.format(**kwargs).replace('\n', '').replace('\t', ''))

KeyError: 'colour'

关于如何解决这个问题的任何想法。

Answer 1

您不能将字典键分配给具有 .get() 的值：

kwargs.get['colour'] = wd

应该是

kwargs['colour'] = wd

编辑以下评论：

if (words[0] == 'Bottle') or (words[0]=='Vial') or (words[0] =='Container') or (words[0] =='Ampoules') or (words[0] =='Occlusive Dressing'):
    for wd in colours:
        if wd.lower() in sen.lower():
            kwargs['colour'] = wd
            break
    text_const = TEXT_WITH_COLOUR
else:
    text_const = TEXT_WITHOUT_COLOUR

应该是：

text_const = TEXT_WITHOUT_COLOUR

if (words[0] == 'Bottle') or (words[0]=='Vial') or (words[0] =='Container') or (words[0] =='Ampoules') or (words[0] =='Occlusive Dressing'):
    for wd in colours:
        if wd.lower() in sen.lower():
            kwargs['colour'] = wd
            text_const = TEXT_WITH_COLOUR
            break

将 kwargs 附加到列表时出现 KeyError python

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