Hi i would like to code me a small helper Tool in Python it should process the following content:
<tr>
<td><p>L1</p></td>
<td><p>(4.000x2.300x500; 4,6m³)</p></td>
<td><p> </p></td>
<td><p> 1.221 kg</p></td>
</tr>
<tr>
<td><p>L2</p></td>
<td><p>(4.250x2.300x500; 4,9m³)</p></td>
<td><p> </p></td>
<td><p> 1.279 kg</p></td>
</tr>
<tr>
<td><p>L3</p></td>
<td><p>(4.500x2.300x500; 5,2m³)</p></td>
<td><p> </p></td>
<td><p> 1.321 kg</p></td>
</tr>
<tr>
<td><p>L4</p></td>
<td><p>(4.750x2.300x500; 5,5m³)</p></td>
<td><p> </p></td>
<td><p> 1.364 kg</p></td>
</tr>
It should replace the
of each table row with the the volume in this case everthing between the ; and the ) in the second table data field of each row.
i started to code it in python like that and i could allready scrape the Volume with a regex statement but my logic ends on how to put the values on the right place. any idea ? here is my code
import BeautifulSoup
import re
with open('3mmcontainer.html') as f:
content = f.read()
f.close()
#print content
contentsoup = BeautifulSoup.BeautifulSoup(content)
for tablerow in contentsoup.findAll('tr'):
inhalt = str(tablerow.contents[3])
print inhalt
match = re.findall('\;(.*?)\)', inhalt)
print match
# for x in match:
# volumen = x.lstrip()
# print volumen
#f = open('3mmcontainer.html', 'w')
#newdata = f.replace(" ", volumen)
#f.write(newdata)
#f.close()
#m = re.search('\;(.*?)\)', inhalt)
# print m
# volumen = re.compile(r'\;(.*?)\)')
# volumen.match(tablerow.contents[3])
NB: you don't need to call close()
because the with
statement will do it for you.
You can use a simple function to transform each row ( <tr/>
):
import re
def parse_inhalt(content):
td_list = re.findall(r"<td>(?:(?!</td>).)+</td>", content)
vol_content = td_list[1]
vol = re.findall(r";([^)]+)", vol_content)[0]
return content.replace(" ", vol)
The code is straightforward:
td_list
by the volume For instance:
inhalt = u"""\
<tr>
<td><p>L4</p></td>
<td><p>(4.750x2.300x500; 5,5m³)</p></td>
<td><p> </p></td>
<td><p> 1.364 kg</p></td>
</tr>"""
print(parse_inhalt(inhalt))
You get:
<tr>
<td><p>L4</p></td>
<td><p>(4.750x2.300x500; 5,5m³)</p></td>
<td><p> 5,5m³</p></td>
<td><p> 1.364 kg</p></td>
</tr>
You can drop the spaces by using:
vol = re.findall(r";\s*([^)]+)", vol_content)[0]
An alternative approach.
First, find all of the table cells, and the p
elements within them. You know that the p
elements are characterised by the presence of m³ within their text
s, so watch for them, and you know that you must change the p
elements that follow immediately. Then arrange to capture the area when you encounter it, note the ordinal number of the p
element and then when you encounter the next p
element, change its text
by assigning area
to its string
attribute.
If you prefer regex then you could use this for calculating area
:
area = bs4.re.search(r';\s+([^\)]+)', p.text).groups(0)[0]
.
>>> import bs4
>>> soup = bs4.BeautifulSoup(open('temp.htm').read(), 'lxml')
>>> k = None
>>> for i, p in enumerate(soup.select('td > p')):
... if 'm³' in p.text:
... area = p.text[1+p.text.rfind(';'):-1].strip()
... k = i
... if k and i == k + 1:
... p.string = area
...
>>> soup
<html><body><tr>
<td><p>L1</p></td>
<td><p>(4.000x2.300x500; 4,6m³)</p></td>
<td><p>4,6m³</p></td>
<td><p> 1.221 kg</p></td>
</tr>
<tr>
<td><p>L2</p></td>
<td><p>(4.250x2.300x500; 4,9m³)</p></td>
<td><p>4,9m³</p></td>
<td><p> 1.279 kg</p></td>
</tr>
<tr>
<td><p>L3</p></td>
<td><p>(4.500x2.300x500; 5,2m³)</p></td>
<td><p>5,2m³</p></td>
<td><p> 1.321 kg</p></td>
</tr>
<tr>
<td><p>L4</p></td>
<td><p>(4.750x2.300x500; 5,5m³)</p></td>
<td><p>5,5m³</p></td>
<td><p> 1.364 kg</p></td>
</tr></body></html>
>>>
if brute force regex is acceptable
s='''
<tr>
<td><p>L1</p></td>
<td><p>(4.000x2.300x500; 4,6m³)</p></td>
<td><p> </p></td>
<td><p> 1.221 kg</p></td>
</tr>
<tr>
<td><p>L2</p></td>
<td><p>(4.250x2.300x500; 4,9m³)</p></td>
<td><p> </p></td>
<td><p> 1.279 kg</p></td>
</tr>
<tr>
<td><p>L3</p></td>
<td><p>(4.500x2.300x500; 5,2m³)</p></td>
<td><p> </p></td>
<td><p> 1.321 kg</p></td>
</tr>
<tr>
<td><p>L4</p></td>
<td><p>(4.750x2.300x500; 5,5m³)</p></td>
<td><p> </p></td>
<td><p> 1.364 kg</p></td>
</tr>
'''
import re
p=r'(\([0-9x.]+)(; +)([0-9,m³]+)(\)</p></td>\n <td><p>)( )'
# not sure which output is preferred
x = re.sub(p, '\g<1>\g<2>\g<3>\g<4>\g<3>', s)
print(x)
y = re.sub(p, '\g<1>\g<4>\g<3>', s)
print(y)
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