-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathCrawler.py
208 lines (157 loc) · 8.34 KB
/
Crawler.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
print("Starting Crawler imports... ")
from io import TextIOWrapper
from os.path import isfile
from typing import Union, Iterable
from datetime import datetime
from time import sleep
from timeit import timeit
from sys import argv
from multiprocessing import Process, Manager
from xml.etree import ElementTree as ET
from Browser import Browser
from Analizers.Text_analizer import analize_text, find, words_related, _color_sent
from Structures.Site import Site, parse_sites_arg
from Structures.Order import OrderedList
from Structures.Search import search
from Structures.Async_generator import AGenerator, do_async
print("Done (Crawler)")
"""
n = function(e){e.innerHTML="{open('jQuery.js','r').read()}";e.onload=function(){jQuery.noConflict();console.log('jQuery injected')};document.head.appendChild(e);}(document.createElement('script'))
var _ = document.evaluate("//*", document, null, XPathResult.ORDERED_NODE_SNAPSHOT_TYPE, null);
(jQuery(Array.from(new Set(Array(_.snapshotLength).fill(0).map((element, index) => _.snapshotItem(index).nodeName))).filter(function(value,_,_){return value!="IFRAME"}).join(", ")).contents().filter(function() {return jQuery._data(this, 'events') != undefined})).toArray()
"""
def main(proc_num = int(argv[1]) if len(argv) > 1 else 1):
sites = search(input("Keyword: ") or "cork material", input("Search_in: ") or "general")
#sites = ["https://twitter.com/search?q=Hidden"]
c1 = Crawler(sites=sites, headless=False, max_tabs=15, load_images=False)
if(proc_num == 1):
test(c1)
else:
process = []
for _ in range(proc_num):
new_proc = Process(target=test, args=(c1,_))
process.append(new_proc)
for p in process:
p.start()
for p in process: p.join()
while(input("Search for something? ")):
### Search params
to_search = input("Search: ").lower() or "thing"
tag = {'1':'n','2':'v','3':'a','4':'r'}.get(input(f"\nWhat '{to_search}'?\n"
"[1]: Noun\n"
"[2]: Verb\n"
"[3]: Adjective\n"
"[4]: Adverb\n\n"
"> ") or '1', None)
#syn = not 'n' in input("\nFind related words too? ").lower()
syn = False
#exact = not 'n' in input("\nFind exact word? ").lower()
print()
if(syn): rel_words = words_related(to_search, tag)
else: rel_words = to_search
result = []
while(len(c1.scrapped_text)):
#found = c1.scrapped_text(all=True)
found = c1.scrapped_text
for _,s_dict,sentences in list(filter(None, found)): # filters are tmp fix
result.extend([sentences[n] for n in find(rel_words,s_dict)])
break
print(f"\n\nFound {len(result)} phrases containing words related to {to_search}\n")
num = 0
keep = False
print()
per_print = 6
while(not keep and num < len(result)):
for _ in range(per_print if len(result)-num > (per_print-1) else len(result)-num):
print(result[num],end="\n\n")
print("-----")
num += 1
keep = input("### Stop?")
print()
def test(c1, proc_num:int=0):
with c1 as crawler:
try:
crawler.crawl(forbidden_domains=["duckduckgo.com",
#"twitter.com", "facebook.com", "www.reddit.com", "reddit.com",
"accounts.google.com", "spreadprivacy.com", "donttrack.us", "disqus.com",
"google.com","help.duckduckgo.com","support.google.com","www.google.com",
"www.pinterest.es","www.pinterest.com","pinterest.es","pinterest.com",
"translate.google.com","webcache.googleusercontent.com","about.google"
"policies.google.com"],max_depth=1)
except KeyboardInterrupt: pass
print(f"Process-{proc_num} ended")
class Crawler():
def __init__(self, file:Union[str, ET.ElementTree, TextIOWrapper, None]=None,
sites:Iterable[Union[str, Site]]=[], load_wait:float=3, load_timeout:float=20,
info_as_node_xml:bool=False, disable_downloads:bool=True,
max_tabs:int=25, headless:bool=False, load_images:bool=True):
# Check file type and convert it to ET.ElementTree
# It accepts None, str, file and ET.ElementTree
if(isinstance(file, ET.ElementTree)):
self.xml_tree = file
elif(isinstance(file, TextIOWrapper) or (file and isfile(file))):
self.xml_tree = ET.parse(file)
else:
self.xml_tree = ET.ElementTree()
self.xml_root = ET.Element("root")
self.max_tabs = max_tabs
self.browser = Browser(sites, load_timeout, max_tabs, headless, load_images,
load_wait, disable_downloads)
### Shared memory
self.scrapped_text = Manager().list()
def __enter__(self):
self.browser.open()
return self
def __exit__(self,_,__,___):
self.browser.close()
def crawl(self, max_depth:int=1, site:str=None,*, initial_depth:int=0, recrawl:bool=False,
forbidden_domains=[], lemmatize_words:bool=False):
if(not site is None):
if(isinstance(site, Site)): site = site.link
self.browser._links.append((site,0))
counter = 0
started_at = datetime.now()
while(not(len(self.browser._links))): sleep(.2)
print("\nStarting text crawling...\n")
while(len(self.browser._links)): # or open but not loaded
print(f"\n\n###\n\nRemaining: {len(self.browser._links)} sites.\n\n###\n")
self.browser.switch_to_window(self.browser.driver.window_handles[0])
while(len(self.browser._links) and counter < self.max_tabs):
site = self.browser._get_sites()
if(site is None):
break
self.browser.open_link(site.link, new_tab=True, site=site)
counter += 1
print(f"Got {site}\n")
sites = list(self.browser._get_loaded_sites(wait=True))
print(f"Number of sites waiting to load:")
while(counter > 0):
print(counter, end=' \r')
counter -= 1
actual_site = sites[0]
tab = actual_site.tab
depth = actual_site.depth
self.browser.switch_to_window(tab)
actual_site.hrefs.update(self.browser.extract_hrefs())
#self.scrapped_text.append(do_async(analize_text, self.browser.extract_text(), exact_words=not lemmatize_words))
self.scrapped_text.append(analize_text(self.browser.extract_text(), exact_words=not lemmatize_words))
if(depth < max_depth):
depth += 1
parent = actual_site.xml_node
if(recrawl):
self.browser._links.extend([(Site(link,parent=parent,depth=depth),depth) for link in actual_site.hrefs
if self.browser.domain_from_link(link) not in forbidden_domains])
else:
self.browser._links.extend([(Site(link,parent=parent,depth=depth),depth) for link in actual_site.hrefs
if self.browser._visited_sites_counter.get(link,None) is None and
self.browser.domain_from_link(link) not in forbidden_domains])
self.browser.close_tab(tab)
if(len(sites)):
sites.pop(0)
continue
browser.restore_timed_out()
sites = list(self.browser._get_loaded_sites(wait=False))
print(f"\n\nCrawling (max_depth: {max_depth}) ended after {str(datetime.now()-started_at)}")
print(f"\nFound and analyzed {len(self.scrapped_text)} websites")
if __name__ == "__main__":
main()