searxng/searx/webutils.py

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# -*- coding: utf-8 -*-
import os
import csv
import hashlib
import hmac
import re
import inspect
import itertools
from io import StringIO
from codecs import getincrementalencoder
from searx import logger, settings
from searx.engines import OTHER_CATEGORY
VALID_LANGUAGE_CODE = re.compile(r'^[a-z]{2,3}(-[a-zA-Z]{2})?$')
logger = logger.getChild('webutils')
class UnicodeWriter:
"""
A CSV writer which will write rows to CSV file "f",
which is encoded in the given encoding.
"""
def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
# Redirect output to a queue
self.queue = StringIO()
self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
self.stream = f
self.encoder = getincrementalencoder(encoding)()
def writerow(self, row):
self.writer.writerow(row)
# Fetch UTF-8 output from the queue ...
data = self.queue.getvalue()
data = data.strip('\x00')
# ... and reencode it into the target encoding
data = self.encoder.encode(data)
# write to the target stream
self.stream.write(data.decode())
# empty queue
self.queue.truncate(0)
def writerows(self, rows):
for row in rows:
self.writerow(row)
def get_themes(templates_path):
"""Returns available themes list."""
themes = os.listdir(templates_path)
if '__common__' in themes:
themes.remove('__common__')
return themes
def get_static_files(static_path):
static_files = set()
static_path_length = len(static_path) + 1
for directory, _, files in os.walk(static_path):
for filename in files:
f = os.path.join(directory[static_path_length:], filename)
static_files.add(f)
return static_files
def get_result_templates(templates_path):
result_templates = set()
templates_path_length = len(templates_path) + 1
for directory, _, files in os.walk(templates_path):
if directory.endswith('result_templates'):
for filename in files:
f = os.path.join(directory[templates_path_length:], filename)
result_templates.add(f)
return result_templates
def new_hmac(secret_key, url):
return hmac.new(secret_key.encode(), url, hashlib.sha256).hexdigest()
def is_hmac_of(secret_key, value, hmac_to_check):
hmac_of_value = new_hmac(secret_key, value)
return len(hmac_of_value) == len(hmac_to_check) and hmac.compare_digest(hmac_of_value, hmac_to_check)
def prettify_url(url, max_length=74):
if len(url) > max_length:
chunk_len = int(max_length / 2 + 1)
return '{0}[...]{1}'.format(url[:chunk_len], url[-chunk_len:])
else:
return url
def highlight_content(content, query):
if not content:
return None
# ignoring html contents
# TODO better html content detection
if content.find('<') != -1:
return content
if content.lower().find(query.lower()) > -1:
query_regex = '({0})'.format(re.escape(query))
content = re.sub(query_regex, '<span class="highlight">\\1</span>', content, flags=re.I | re.U)
else:
regex_parts = []
for chunk in query.split():
chunk = chunk.replace('"', '')
if len(chunk) == 0:
continue
elif len(chunk) == 1:
regex_parts.append('\\W+{0}\\W+'.format(re.escape(chunk)))
else:
regex_parts.append('{0}'.format(re.escape(chunk)))
query_regex = '({0})'.format('|'.join(regex_parts))
content = re.sub(query_regex, '<span class="highlight">\\1</span>', content, flags=re.I | re.U)
return content
def is_flask_run_cmdline():
"""Check if the application was started using "flask run" command line
Inspect the callstack.
See https://github.com/pallets/flask/blob/master/src/flask/__main__.py
Returns:
bool: True if the application was started using "flask run".
"""
frames = inspect.stack()
if len(frames) < 2:
return False
return frames[-2].filename.endswith('flask/cli.py')
DEFAULT_GROUP_NAME = 'others'
def group_engines_in_tab(engines):
def engine_sort_key(engine):
return (engine.about.get('language', ''), engine.name)
def group_sort_key(group):
return (group[0] == DEFAULT_GROUP_NAME, group[0].lower())
def get_group(eng):
non_tab_engines = [c for c in eng.categories if c not in settings['categories_as_tabs'] + [OTHER_CATEGORY]]
return non_tab_engines[0] if len(non_tab_engines) > 0 else DEFAULT_GROUP_NAME
return [
(groupname, sorted(engines, key=engine_sort_key))
for groupname, engines in sorted(
((name, list(engines)) for name, engines in itertools.groupby(sorted(engines, key=get_group), get_group)),
key=group_sort_key,
)
]