User:Alexander Roidl/CGI Tunnels

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Building a cgi search

Through texts

IMG 7384.jpg
#!/usr/bin/env python3

import cgi
import cgitb; cgitb.enable()
import csv
import sys
import re
import time

def common_data(list1, list2):
    result = False

    # traverse in the 1st list
    for x in list1:

        # traverse in the 2nd list
        for y in list2:

            # if one common
            if x == y:
                result = True
                return result

    return result

print ('Content-type:text/html;charset=utf-8')
print()

#cgi.print_environ()

f = cgi.FieldStorage()
keywords = f.getvalue("search", "").split(" ")
keyword = keywords[0]

start_time = time.time()

#read csv, and split on "," the line
csv_file = csv.reader(open('tfidf.csv', "r"), delimiter=",")
csv = list(csv_file)
texts = csv[0]

in_text = {}
#loop through csv list
for row in csv:
    #if current rows 2nd value is equal to input, print that row
    for keyword in keywords:
      if keyword == row[0]:
        for i, val in enumerate(row[1:]):
          val = float(val)
          if val > 0:
            if texts[i+1] in in_text:
              in_text[texts[i+1]] = in_text[texts[i+1]]+val
            else:
              in_text[texts[i+1]] = val

in_text = sorted(in_text.items(), key=lambda x:float(x[1]), reverse=True)

count = 0;

print("""
<form method="get" action = "/cgi-bin/form.cgi">
	<input type="text" name="search" placeholder="search books…">
	<input type="submit" name="submit">
</form>""")

print("""
<link rel="stylesheet" type="text/css" href="/style.css">

<p class="name">Results for: {0}</p>
""".format(" ".join(keywords)))

if not in_text:
  from autocorrect import spell
  print("""
  <p class="name">no result</p>
  """)
  print("""
  <p>Did you mean <a href='form.cgi?search={0}&submit=Submit'>{0}</a>?</p>
  """.format(spell(" ".join(keywords)))
  )
else:
  for result in in_text:


    print("""
    <p class='resultname'>{}</p>
    """.format(result[0]))

    f = open("texts/"+result[0], 'r', encoding="utf-8", errors='ignore')
    f = f.readlines()
    for i, line in enumerate(f):
            # Use Regex to remove punctuation and isolate words
            words = re.findall(r'\b\w[\w-]*\b', line.lower())
            sent = " ".join(words)

            for key in keywords:
              sent = sent.replace(key, "<span class='mark'>{}</span>".format(key))

            try:
              sentbefore = " ".join(re.findall(r'\b\w[\w-]*\b', f[i-1].lower()))
            except:
              sentbefore = ""

            try:
              nextone = " ".join(re.findall(r'\b\w[\w-]*\b', f[i+1].lower()))
            except:
              nextone = ""

            try:
              nextnextone = " ".join(re.findall(r'\b\w[\w-]*\b', f[i+2].lower()))
            except:
              nextnextone = ""


            if common_data(keywords, words):
              count +=1;
              print("""
              <div class='excerpt'>
              <p class='excerpt_text'>{4} {1} {2} {3}</p>
              <p class='excerpt_line'>in line: {0}</p>
              </div>
              """.format(i, sent,nextone, nextnextone, sentbefore ))

    print("""
    <p class='value'>value: {}</p>
    """.format(result[1]))


print("""<br><br>
<p class="detail">{0} results in {1} seconds.</p>
""".format(count, (time.time() - start_time)))