Caching SearXNG
This revision is from 2024/10/19 23:03. You can Restore it.
Speed up SearX with a caching system for SearX or SearXNG.
To test the cache use the same keyword twice and gauge the speed difference, on the first request if there is no cache hit versus a cache hit being generated after on the same second request.
Turn on all the engines, aggregate then cache the result, reload the cached version fast. If you run a public instance, please disclose to your users that the results of their queries are being cached. Project has no affiliation or authorization with searx or searxng. SarXNG has two major problems, speed (our version has all the engines enabled) and sorting tools as with multimedia, images.
- v3: populuate the extra json values such as infoboxes, number of results.
- v2: hash-match, hash the query and cache file so all characters, languages, symbols are handled.
- v1: text-match, simple caching system by file exists could not take into account all the characters.
- a possible version 4 is compression
The robot crawler uses keyword data obtained from search engine keyword datasets and auto complete suggestions. Their is no user data.
A possible later stage is to reformat the data for speed, rather than keeping the entire json page only keep essential mappings and reuse the json parts that are the same in each case. Another is to cache the preview to different multimedia such as images for immediate display.
- webapp.py in /usr/local/searxng/searxng-src/searx/webapp.py : def search()
- __init__.py in /usr/local/searxng/searxng-src/searx/search/__init__.py : class Search
- result.py in /usr/local/searxng/searxng-src/searx/search/results.py : class ResultContainer
Step 1: Create the cache, 00 ~ FF hex values
sudo mkdir -p /usr/local/searxng/searxng-src/searx/cache
for i in {0..255}; do sudo mkdir -p /usr/local/searxng/searxng-src/searx/cache/$(printf "%02x" $i); done
sudo chown -R searxng:searxng /usr/local/searxng/searxng-src/searx/cache
sudo chmod -R 755 /usr/local/searxng/searxng-src/searx/cache
Step 2: Install the cache, edit the files.
webapp.py
@app.route('/search', methods=['GET', 'POST'])
def search():
"""Search query in q and return results.
Supported outputs: html, json, csv, rss.
"""
# pylint: disable=too-many-locals, too-many-return-statements, too-many-branches
# pylint: disable=too-many-statements
# output_format
output_format = request.form.get('format', 'html')
if output_format not in OUTPUT_FORMATS:
output_format = 'html'
if output_format not in settings['search']['formats']:
flask.abort(403)
# check if there is query (not None and not an empty string)
if not request.form.get('q'):
if output_format == 'html':
return render(
# fmt: off
'index.html',
selected_categories=get_selected_categories(request.preferences, request.form),
# fmt: on
)
return index_error(output_format, 'No query'), 400
# search
search_query = None
raw_text_query = None
result_container = None
try:
search_query, raw_text_query, _, _, selected_locale = get_search_query_from_webapp(
request.preferences, request.form
)
search = SearchWithPlugins(search_query, request.user_plugins, request) # pylint: disable=redefined-outer-name
result_container = search.search()
#
→fname = request.form['q'] + str(search_query.pageno) + str(search_query.categories[0])
# Generate a hash of the search term
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2] # Use the first 2 characters of the hash as the subdirectory name
cache_dir = os.path.abspath(os.path.join("cache", subdirectory))
if not os.path.exists(cache_dir):
os.makedirs(cache_dir)
file_path = os.path.join(cache_dir, hex_dig) # Use the hash as the filename
if not os.path.exists(file_path):
responsex = webutils.get_json_response(search_query, result_container)
if len(responsex.strip()) > 1000: # Checking length greater than 2 to ensure it's not just '{}'
with open(file_path, "w") as text_file:
text_file.write(responsex) # json.dump(responsex, text_file)
#
→except SearxParameterException as e:
logger.exception('search error: SearxParameterException')
return index_error(output_format, e.message), 400
except Exception as e: # pylint: disable=broad-except
logger.exception(e, exc_info=True)
return index_error(output_format, gettext('search error')), 500
# 1. check if the result is a redirect for an external bang
if result_container.redirect_url:
return redirect(result_container.redirect_url)
# 2. add Server-Timing header for measuring performance characteristics of
# web applications
request.timings = result_container.get_timings() # pylint: disable=assigning-non-slot
# 3. formats without a template
if output_format == 'json':
response = webutils.get_json_response(search_query, result_container)
return Response(response, mimetype='application/json')
if output_format == 'csv':
csv = webutils.CSVWriter(StringIO())
webutils.write_csv_response(csv, result_container)
csv.stream.seek(0)
response = Response(csv.stream.read(), mimetype='application/csv')
cont_disp = 'attachment;Filename=searx_-_{0}.csv'.format(search_query.query)
response.headers.add('Content-Disposition', cont_disp)
return response
# 4. formats rendered by a template / RSS & HTML
current_template = None
previous_result = None
results = result_container.get_ordered_results()
if search_query.redirect_to_first_result and results:
return redirect(results[0]['url'], 302)
for result in results:
if output_format == 'html':
if 'content' in result and result['content']:
result['content'] = highlight_content(escape(result['content'][:1024]), search_query.query)
if 'title' in result and result['title']:
result['title'] = highlight_content(escape(result['title'] or ''), search_query.query)
if 'url' in result:
result['pretty_url'] = webutils.prettify_url(result['url'])
if result.get('publishedDate'): # do not try to get a date from an empty string or a None type
try: # test if publishedDate >= 1900 (datetime module bug)
result['pubdate'] = result['publishedDate'].strftime('%Y-%m-%d %H:%M:%S%z')
except ValueError:
result['publishedDate'] = None
else:
result['publishedDate'] = webutils.searxng_l10n_timespan(result['publishedDate'])
# set result['open_group'] = True when the template changes from the previous result
# set result['close_group'] = True when the template changes on the next result
if current_template != result.get('template'):
result['open_group'] = True
if previous_result:
previous_result['close_group'] = True # pylint: disable=unsupported-assignment-operation
current_template = result.get('template')
previous_result = result
if previous_result:
previous_result['close_group'] = True
# 4.a RSS
if output_format == 'rss':
response_rss = render(
'opensearch_response_rss.xml',
results=results,
answers=result_container.answers,
corrections=result_container.corrections,
suggestions=result_container.suggestions,
q=request.form['q'],
number_of_results=result_container.number_of_results,
)
return Response(response_rss, mimetype='text/xml')
# 4.b HTML
# suggestions: use RawTextQuery to get the suggestion URLs with the same bang
suggestion_urls = list(
map(
lambda suggestion: {'url': raw_text_query.changeQuery(suggestion).getFullQuery(), 'title': suggestion},
result_container.suggestions,
)
)
correction_urls = list(
map(
lambda correction: {'url': raw_text_query.changeQuery(correction).getFullQuery(), 'title': correction},
result_container.corrections,
)
)
# search_query.lang contains the user choice (all, auto, en, ...)
# when the user choice is "auto", search.search_query.lang contains the detected language
# otherwise it is equals to search_query.lang
return render(
# fmt: off
'results.html',
results = results,
q=request.form['q'],
selected_categories = search_query.categories,
pageno = search_query.pageno,
time_range = search_query.time_range or '',
number_of_results = format_decimal(result_container.number_of_results),
suggestions = suggestion_urls,
answers = result_container.answers,
corrections = correction_urls,
infoboxes = result_container.infoboxes,
engine_data = result_container.engine_data,
paging = result_container.paging,
unresponsive_engines = webutils.get_translated_errors(
result_container.unresponsive_engines
),
current_locale = request.preferences.get_value("locale"),
current_language = selected_locale,
search_language = match_locale(
search.search_query.lang,
settings['search']['languages'],
fallback=request.preferences.get_value("language")
),
timeout_limit = request.form.get('timeout_limit', None)
# fmt: on
)
searx/search/__init__.py
def search_multiple_requests2(self, requests, hashed_filename):
search_id = str(uuid4())
mock_result_container = ResultContainer()
cache_dir = 'cache'
fname = self.search_query.query + str(self.search_query.pageno) + str(self.search_query.categories[0])
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2]
query_dir = os.path.join(cache_dir, subdirectory)
mock_data_filename = os.path.join(query_dir, hashed_filename)
with open(mock_data_filename, encoding='utf-8') as mock_data_file:
mock_data = json.load(mock_data_file)
mock_results = mock_data['results']
mock_infoboxes = mock_data.get('infoboxes', [])
mock_suggestions = mock_data.get('suggestions', [])
mock_answers = mock_data.get('answers', [])
mock_number_of_results = mock_data.get('number_of_results', 0)
# Process results for each engine
for engine_name, _, _ in requests:
self.mock_search_function(engine_name, mock_results, mock_result_container)
mock_result_container.infoboxes.extend(mock_infoboxes)
mock_result_container.suggestions = mock_suggestions
mock_result_container.answers = {answer: {'answer': answer} for answer in mock_answers}
mock_result_container.number_of_results = mock_number_of_results
self.result_container = mock_result_container
def mock_search_function(self, engine_name, mock_results, result_container):
engine_results = []
for result in mock_results:
if engine_name in result.get('engines', []):
result_copy = result.copy()
result_copy['engine'] = engine_name
if 'publishedDate' in result_copy and isinstance(result_copy['publishedDate'], str):
result_copy['publishedDate'] = datetime.fromisoformat(result_copy['publishedDate'])
engine_results.append(result_copy)
result_container.extend(engine_name, engine_results)
def search_standard(self):
requests, self.actual_timeout = self._get_requests()
cache_dir = 'cache'
fname = self.search_query.query + str(self.search_query.pageno) + str(self.search_query.categories[0])
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2]
hashed_filename = hex_dig # Use the full hash as the filename
query_dir = os.path.join(cache_dir, subdirectory)
mock_data_filename = os.path.join(query_dir, hashed_filename)
if requests:
if os.path.isfile(mock_data_filename):
self.search_multiple_requests2(requests, hashed_filename)
else:
self.search_multiple_requests(requests)
return True
# do search-request
def search(self) -> ResultContainer:
self.start_time = default_timer()
if not self.search_external_bang():
if not self.search_answerers():
self.search_standard()
return self.result_container
searx/results.py
class ResultContainer:
"""docstring for ResultContainer"""
__slots__ = (
'_merged_results',
'infoboxes',
'suggestions',
'answers',
'corrections',
'_number_of_results',
'_closed',
'paging',
'unresponsive_engines',
'timings',
'redirect_url',
'engine_data',
'on_result',
'_lock',
)
class ResultContainer:
def extend(self, engine_name, results):
if engine_name not in self.results:
self.results[engine_name] = []
self.results[engine_name].extend(results)
def __init__(self):
super().__init__()
self._merged_results = []
self.infoboxes = []
self.suggestions = set()
self.answers = {}
self.corrections = set()
self._number_of_results = []
self.engine_data = defaultdict(dict)
self._closed = False
self.paging = False
self.unresponsive_engines: Set[UnresponsiveEngine] = set()
self.timings: List[Timing] = []
self.redirect_url = None
self.on_result = lambda _: True
self._lock = RLock()
def extend(self, engine_name, results): # pylint: disable=too-many-branches
if self._closed:
return
standard_result_count = 0
error_msgs = set()
for result in list(results):
result['engine'] = engine_name
if 'suggestion' in result and self.on_result(result):
self.suggestions.add(result['suggestion'])
elif 'answer' in result and self.on_result(result):
self.answers[result['answer']] = result
elif 'correction' in result and self.on_result(result):
self.corrections.add(result['correction'])
elif 'infobox' in result and self.on_result(result):
self._merge_infobox(result)
elif 'number_of_results' in result and self.on_result(result):
self._number_of_results.append(result['number_of_results'])
elif 'engine_data' in result and self.on_result(result):
self.engine_data[engine_name][result['key']] = result['engine_data']
elif 'url' in result:
# standard result (url, title, content)
if not self._is_valid_url_result(result, error_msgs):
continue
# normalize the result
self._normalize_url_result(result)
# call on_result call searx.search.SearchWithPlugins._on_result
# which calls the plugins
if not self.on_result(result):
continue
self.__merge_url_result(result, standard_result_count + 1)
standard_result_count += 1
elif self.on_result(result):
self.__merge_result_no_url(result, standard_result_count + 1)
standard_result_count += 1
if len(error_msgs) > 0:
for msg in error_msgs:
count_error(engine_name, 'some results are invalids: ' + msg, secondary=True)
if engine_name in engines:
histogram_observe(standard_result_count, 'engine', engine_name, 'result', 'count')
if not self.paging and engine_name in engines and engines[engine_name].paging:
self.paging = True
def _merge_infobox(self, infobox):
add_infobox = True
infobox_id = infobox.get('id', None)
infobox['engines'] = set([infobox['engine']])
if infobox_id is not None:
parsed_url_infobox_id = urlparse(infobox_id)
with self._lock:
for existingIndex in self.infoboxes:
if compare_urls(urlparse(existingIndex.get('id', '')), parsed_url_infobox_id):
merge_two_infoboxes(existingIndex, infobox)
add_infobox = False
if add_infobox:
self.infoboxes.append(infobox)
def _is_valid_url_result(self, result, error_msgs):
if 'url' in result:
if not isinstance(result['url'], str):
logger.debug('result: invalid URL: %s', str(result))
error_msgs.add('invalid URL')
return False
if 'title' in result and not isinstance(result['title'], str):
logger.debug('result: invalid title: %s', str(result))
error_msgs.add('invalid title')
return False
if 'content' in result:
if not isinstance(result['content'], str):
logger.debug('result: invalid content: %s', str(result))
error_msgs.add('invalid content')
return False
return True
def _normalize_url_result(self, result):
"""Return True if the result is valid"""
result['parsed_url'] = urlparse(result['url'])
# if the result has no scheme, use http as default
if not result['parsed_url'].scheme:
result['parsed_url'] = result['parsed_url']._replace(scheme="http")
result['url'] = result['parsed_url'].geturl()
# avoid duplicate content between the content and title fields
if result.get('content') == result.get('title'):
del result['content']
# make sure there is a template
if 'template' not in result:
result['template'] = 'default.html'
# strip multiple spaces and carriage returns from content
if result.get('content'):
result['content'] = WHITESPACE_REGEX.sub(' ', result['content'])
def __merge_url_result(self, result, position):
result['engines'] = set([result['engine']])
with self._lock:
duplicated = self.__find_duplicated_http_result(result)
if duplicated:
self.__merge_duplicated_http_result(duplicated, result, position)
return
# if there is no duplicate found, append result
result['positions'] = [position]
self._merged_results.append(result)
def __find_duplicated_http_result(self, result):
result_template = result.get('template')
for merged_result in self._merged_results:
if 'parsed_url' not in merged_result:
continue
if compare_urls(result['parsed_url'], merged_result['parsed_url']) and result_template == merged_result.get(
'template'
):
if result_template != 'images.html':
# not an image, same template, same url : it's a duplicate
return merged_result
# it's an image
# it's a duplicate if the parsed_url, template and img_src are different
if result.get('img_src', ) == merged_result.get('img_src', ):
return merged_result
return None
def __merge_duplicated_http_result(self, duplicated, result, position):
# using content with more text
if result_content_len(result.get('content', )) > result_content_len(duplicated.get('content', )):
duplicated['content'] = result['content']
# merge all result's parameters not found in duplicate
for key in result.keys():
if not duplicated.get(key):
duplicated[key] = result.get(key)
# add the new position
duplicated['positions'].append(position)
# add engine to list of result-engines
duplicated['engines'].add(result['engine'])
# using https if possible
if duplicated['parsed_url'].scheme != 'https' and result['parsed_url'].scheme == 'https':
duplicated['url'] = result['parsed_url'].geturl()
duplicated['parsed_url'] = result['parsed_url']
def __merge_result_no_url(self, result, position):
result['engines'] = set([result['engine']])
result['positions'] = [position]
with self._lock:
self._merged_results.append(result)
def close(self):
self._closed = True
for result in self._merged_results:
result['score'] = result_score(result, result.get('priority'))
# removing html content and whitespace duplications
if result.get('content'):
result['content'] = utils.html_to_text(result['content']).strip()
if result.get('title'):
result['title'] = ' '.join(utils.html_to_text(result['title']).strip().split())
for result_engine in result['engines']:
counter_add(result['score'], 'engine', result_engine, 'score')
results = sorted(self._merged_results, key=itemgetter('score'), reverse=True)
# pass 2 : group results by category and template
gresults = []
categoryPositions = {}
for res in results:
# do we need to handle more than one category per engine?
engine = engines[res['engine']]
res['category'] = engine.categories[0] if len(engine.categories) > 0 else ''
# do we need to handle more than one category per engine?
category = (
res['category']
+ ':'
+ res.get('template', '')
+ ':'
+ ('img_src' if 'img_src' in res or 'thumbnail' in res else '')
)
current = None if category not in categoryPositions else categoryPositions[category]
# group with previous results using the same category
# if the group can accept more result and is not too far
# from the current position
if current is not None and (current['count'] > 0) and (len(gresults) - current['index'] < 20):
# group with the previous results using
# the same category with this one
index = current['index']
gresults.insert(index, res)
# update every index after the current one
# (including the current one)
for k in categoryPositions: # pylint: disable=consider-using-dict-items
v = categoryPositions[k]['index']
if v >= index:
categoryPositions[k]['index'] = v + 1
# update this category
current['count'] -= 1
else:
# same category
gresults.append(res)
# update categoryIndex
categoryPositions[category] = {'index': len(gresults), 'count': 8}
# update _merged_results
self._merged_results = gresults
def get_ordered_results(self):
if not self._closed:
self.close()
return self._merged_results
def results_length(self):
return len(self._merged_results)
@property
def number_of_results(self) -> int:
"""Returns the average of results number, returns zero if the average
result number is smaller than the actual result count."""
with self._lock:
if not self._closed:
logger.error("call to ResultContainer.number_of_results before ResultContainer.close")
return 0
resultnum_sum = sum(self._number_of_results)
if not resultnum_sum or not self._number_of_results:
return 0
average = int(resultnum_sum / len(self._number_of_results))
if average < self.results_length():
average = 0
return average
@number_of_results.setter
def number_of_results(self, value):
with self._lock:
self._number_of_results.append(value)
def add_unresponsive_engine(self, engine_name: str, error_type: str, suspended: bool = False):
with self._lock:
if self._closed:
logger.error("call to ResultContainer.add_unresponsive_engine after ResultContainer.close")
return
if engines[engine_name].display_error_messages:
self.unresponsive_engines.add(UnresponsiveEngine(engine_name, error_type, suspended))
def add_timing(self, engine_name: str, engine_time: float, page_load_time: float):
with self._lock:
if self._closed:
logger.error("call to ResultContainer.add_timing after ResultContainer.close")
return
self.timings.append(Timing(engine_name, total=engine_time, load=page_load_time))
def get_timings(self):
with self._lock:
if not self._closed:
logger.error("call to ResultContainer.get_timings before ResultContainer.close")
return []
return self.timings
Page ends here.
Appendix 1: old Version 2
/searx/webapp.py
import hashlib
import os
fname = request.form['q'] + str(search_query.pageno) + str(search_query.categories[0])
# Generate a hash of the search term
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2] # Use the first 2 characters of the hash as the subdirectory name
cache_dir = os.path.abspath(os.path.join("cache", subdirectory))
if not os.path.exists(cache_dir):
os.makedirs(cache_dir)
file_path = os.path.join(cache_dir, hex_dig) # Use the hash as the filename
if not os.path.exists(file_path):
responsex = webutils.get_json_response(search_query, result_container)
if len(responsex.strip()) > 1000: # Checking length greater than 2 to ensure it's not just '{}'
with open(file_path, "w") as text_file:
text_file.write(responsex) # json.dump(responsex, text_file)
/searx/search/__init__.py
import hashlib
import os
def search_standard(self):
requests, self.actual_timeout = self._get_requests()
cache_dir = 'cache'
fname = self.search_query.query.lower() + str(self.search_query.pageno) + str(self.search_query.categories[0])
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2]
hashed_filename = hex_dig # Use the full hash as the filename
query_dir = os.path.join(cache_dir, subdirectory)
mock_data_filename = os.path.join(query_dir, hashed_filename)
if requests:
if os.path.isfile(mock_data_filename):
self.search_multiple_requests2(requests, hashed_filename)
else:
self.search_multiple_requests(requests)
return True
/searx/search/__init__.py
def search_multiple_requests2(self, requests, hashed_filename):
search_id = str(uuid4())
mock_result_container = ResultContainer()
cache_dir = 'cache'
fname = self.search_query.query.lower() + str(self.search_query.pageno) + str(self.search_query.categories[0])
hash_object = hashlib.md5(fname.encode())
hex_dig = hash_object.hexdigest()
subdirectory = hex_dig[:2]
query_dir = os.path.join(cache_dir, subdirectory)
mock_data_filename = os.path.join(query_dir, hashed_filename)
with open(mock_data_filename, encoding='utf-8') as mock_data_file:
mock_data = json.load(mock_data_file)
mock_results = mock_data['results']
threads = []
for engine_name, _, _ in requests:
th = threading.Thread(
target=self.mock_search_function,
args=(engine_name, mock_results, mock_result_container),
name=search_id,
)
th._timeout = False
th._engine_name = engine_name
th.start()
threads.append(th)
remaining_time = None
for th in threads:
if th.name == search_id:
if remaining_time is None:
remaining_time = self.actual_timeout - (default_timer() - self.start_time)
th.join(remaining_time)
if th.is_alive():
th._timeout = True
self.result_container.add_unresponsive_engine(th._engine_name, 'timeout')
PROCESSORS[th._engine_name].logger.error('engine timeout')
for th in threads:
th.join()
self.result_container = mock_result_container
def mock_search_function(self, engine_name, mock_results, result_container):
time.sleep(0.1)
for result in mock_results:
if 'publishedDate' in result:
if isinstance(result['publishedDate'], str):
result['publishedDate'] = datetime.fromisoformat(result['publishedDate'])
result_container.extend(engine_name, mock_results)
Appendix 2: version 1
SearXNG installs itself on /usr/local/searxng/searxng-src, with the main source code in searxng-src directory.
Interesting files are...
- webapp.py in /usr/local/searxng/searxng-src/searx/webapp.py : def search()
- __init__.py in /usr/local/searxng/searxng-src/searx/search/__init__.py : class Search
A cache implentation here...
- making a directory in the searx folder named cache
- make a sub-folder for every possible character in the cache directory, for instance a to z and 0 to 9
- the cache files are named by and are indentical to the search term
- check if the filename exists when a search is performed
- if there is a match read in the local file instead and defer the search
- send the keywords to cache maintainers so they can update the cache. They can then crawl the search engines and build a more comprehensive cache over time.
- the user updates their cache, by downloading and appending a distributed database.