179 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			179 lines
		
	
	
		
			5.4 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| # -*- coding: utf-8 -*-
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| import os
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| import pathlib
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| import csv
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| import hashlib
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| import hmac
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| import re
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| import inspect
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| import itertools
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| from typing import Iterable, List, Tuple, Dict
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| 
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| from io import StringIO
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| from codecs import getincrementalencoder
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| 
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| from searx import logger, settings
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| from searx.engines import Engine, OTHER_CATEGORY
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| 
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| 
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| VALID_LANGUAGE_CODE = re.compile(r'^[a-z]{2,3}(-[a-zA-Z]{2})?$')
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| 
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| logger = logger.getChild('webutils')
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| 
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| 
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| class UnicodeWriter:
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|     """
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|     A CSV writer which will write rows to CSV file "f",
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|     which is encoded in the given encoding.
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|     """
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| 
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|     def __init__(self, f, dialect=csv.excel, encoding="utf-8", **kwds):
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|         # Redirect output to a queue
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|         self.queue = StringIO()
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|         self.writer = csv.writer(self.queue, dialect=dialect, **kwds)
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|         self.stream = f
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|         self.encoder = getincrementalencoder(encoding)()
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| 
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|     def writerow(self, row):
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|         self.writer.writerow(row)
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|         # Fetch UTF-8 output from the queue ...
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|         data = self.queue.getvalue()
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|         data = data.strip('\x00')
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|         # ... and reencode it into the target encoding
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|         data = self.encoder.encode(data)
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|         # write to the target stream
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|         self.stream.write(data.decode())
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|         # empty queue
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|         self.queue.truncate(0)
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| 
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|     def writerows(self, rows):
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|         for row in rows:
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|             self.writerow(row)
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| 
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| 
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| def get_themes(templates_path):
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|     """Returns available themes list."""
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|     return os.listdir(templates_path)
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| 
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| 
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| def get_hash_for_file(file: pathlib.Path) -> str:
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|     m = hashlib.sha1()
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|     with file.open('rb') as f:
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|         m.update(f.read())
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|     return m.hexdigest()
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| 
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| 
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| def get_static_files(static_path: str) -> Dict[str, str]:
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|     static_files: Dict[str, str] = {}
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|     static_path_path = pathlib.Path(static_path)
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| 
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|     def walk(path: pathlib.Path):
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|         for file in path.iterdir():
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|             if file.name.startswith('.'):
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|                 # ignore hidden file
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|                 continue
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|             if file.is_file():
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|                 static_files[str(file.relative_to(static_path_path))] = get_hash_for_file(file)
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|             if file.is_dir() and file.name not in ('node_modules', 'src'):
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|                 # ignore "src" and "node_modules" directories
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|                 walk(file)
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| 
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|     walk(static_path_path)
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|     return static_files
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| 
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| 
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| def get_result_templates(templates_path):
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|     result_templates = set()
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|     templates_path_length = len(templates_path) + 1
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|     for directory, _, files in os.walk(templates_path):
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|         if directory.endswith('result_templates'):
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|             for filename in files:
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|                 f = os.path.join(directory[templates_path_length:], filename)
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|                 result_templates.add(f)
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|     return result_templates
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| 
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| 
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| def new_hmac(secret_key, url):
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|     return hmac.new(secret_key.encode(), url, hashlib.sha256).hexdigest()
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| 
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| 
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| def is_hmac_of(secret_key, value, hmac_to_check):
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|     hmac_of_value = new_hmac(secret_key, value)
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|     return len(hmac_of_value) == len(hmac_to_check) and hmac.compare_digest(hmac_of_value, hmac_to_check)
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| 
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| 
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| def prettify_url(url, max_length=74):
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|     if len(url) > max_length:
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|         chunk_len = int(max_length / 2 + 1)
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|         return '{0}[...]{1}'.format(url[:chunk_len], url[-chunk_len:])
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|     else:
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|         return url
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| 
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| 
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| def highlight_content(content, query):
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| 
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|     if not content:
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|         return None
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|     # ignoring html contents
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|     # TODO better html content detection
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|     if content.find('<') != -1:
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|         return content
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| 
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|     if content.lower().find(query.lower()) > -1:
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|         query_regex = '({0})'.format(re.escape(query))
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|         content = re.sub(query_regex, '<span class="highlight">\\1</span>', content, flags=re.I | re.U)
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|     else:
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|         regex_parts = []
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|         for chunk in query.split():
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|             chunk = chunk.replace('"', '')
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|             if len(chunk) == 0:
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|                 continue
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|             elif len(chunk) == 1:
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|                 regex_parts.append('\\W+{0}\\W+'.format(re.escape(chunk)))
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|             else:
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|                 regex_parts.append('{0}'.format(re.escape(chunk)))
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|         query_regex = '({0})'.format('|'.join(regex_parts))
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|         content = re.sub(query_regex, '<span class="highlight">\\1</span>', content, flags=re.I | re.U)
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| 
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|     return content
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| 
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| 
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| def is_flask_run_cmdline():
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|     """Check if the application was started using "flask run" command line
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| 
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|     Inspect the callstack.
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|     See https://github.com/pallets/flask/blob/master/src/flask/__main__.py
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| 
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|     Returns:
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|         bool: True if the application was started using "flask run".
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|     """
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|     frames = inspect.stack()
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|     if len(frames) < 2:
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|         return False
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|     return frames[-2].filename.endswith('flask/cli.py')
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| 
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| 
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| DEFAULT_GROUP_NAME = 'others'
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| 
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| 
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| def group_engines_in_tab(engines: Iterable[Engine]) -> List[Tuple[str, Iterable[Engine]]]:
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|     """Groups an Iterable of engines by their first non tab category"""
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| 
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|     def get_group(eng):
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|         non_tab_categories = [
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|             c for c in eng.categories if c not in list(settings['categories_as_tabs'].keys()) + [OTHER_CATEGORY]
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|         ]
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|         return non_tab_categories[0] if len(non_tab_categories) > 0 else DEFAULT_GROUP_NAME
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| 
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|     groups = itertools.groupby(sorted(engines, key=get_group), get_group)
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| 
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|     def group_sort_key(group):
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|         return (group[0] == DEFAULT_GROUP_NAME, group[0].lower())
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| 
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|     sorted_groups = sorted(((name, list(engines)) for name, engines in groups), key=group_sort_key)
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| 
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|     def engine_sort_key(engine):
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|         return (engine.about.get('language', ''), engine.name)
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| 
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|     return [(groupname, sorted(engines, key=engine_sort_key)) for groupname, engines in sorted_groups]
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