mirror of
https://github.com/searxng/searxng
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[mod] add a search_one_request_safe function wrapper to call search_one_request. All exceptions are catched in this wrapper.
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167
searx/search.py
167
searx/search.py
@ -20,6 +20,7 @@ import threading
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from thread import start_new_thread
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from time import time
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from uuid import uuid4
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import requests.exceptions
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import searx.poolrequests as requests_lib
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from searx.engines import (
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categories, engines
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@ -37,109 +38,117 @@ number_of_searches = 0
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def send_http_request(engine, request_params, timeout_limit):
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response = None
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try:
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# create dictionary which contain all
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# informations about the request
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request_args = dict(
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headers=request_params['headers'],
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cookies=request_params['cookies'],
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timeout=timeout_limit,
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verify=request_params['verify']
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)
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# specific type of request (GET or POST)
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if request_params['method'] == 'GET':
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req = requests_lib.get
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else:
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req = requests_lib.post
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request_args['data'] = request_params['data']
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# for page_load_time stats
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time_before_request = time()
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# for page_load_time stats
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time_before_request = time()
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# create dictionary which contain all
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# informations about the request
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request_args = dict(
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headers=request_params['headers'],
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cookies=request_params['cookies'],
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timeout=timeout_limit,
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verify=request_params['verify']
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)
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# send the request
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response = req(request_params['url'], **request_args)
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# specific type of request (GET or POST)
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if request_params['method'] == 'GET':
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req = requests_lib.get
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else:
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req = requests_lib.post
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request_args['data'] = request_params['data']
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with threading.RLock():
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# no error : reset the suspend variables
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engine.continuous_errors = 0
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engine.suspend_end_time = 0
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# update stats with current page-load-time
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# only the HTTP request
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engine.stats['page_load_time'] += time() - time_before_request
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engine.stats['page_load_count'] += 1
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# send the request
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response = req(request_params['url'], **request_args)
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# is there a timeout (no parsing in this case)
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timeout_overhead = 0.2 # seconds
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search_duration = time() - request_params['started']
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if search_duration > timeout_limit + timeout_overhead:
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logger.exception('engine timeout on HTTP request:'
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'{0} (search duration : {1} ms, time-out: {2} )'
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.format(engine.name, search_duration, timeout_limit))
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with threading.RLock():
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engine.stats['errors'] += 1
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return False
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# is there a timeout (no parsing in this case)
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timeout_overhead = 0.2 # seconds
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search_duration = time() - request_params['started']
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if search_duration > timeout_limit + timeout_overhead:
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raise Timeout(response=response)
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# everything is ok : return the response
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return response
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with threading.RLock():
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# no error : reset the suspend variables
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engine.continuous_errors = 0
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engine.suspend_end_time = 0
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# update stats with current page-load-time
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# only the HTTP request
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engine.stats['page_load_time'] += time() - time_before_request
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engine.stats['page_load_count'] += 1
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except:
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# increase errors stats
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with threading.RLock():
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engine.stats['errors'] += 1
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engine.continuous_errors += 1
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engine.suspend_end_time = time() + min(60, engine.continuous_errors)
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# print engine name and specific error message
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logger.exception('engine crash: {0}'.format(engine.name))
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return False
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# everything is ok : return the response
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return response
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def search_one_request(engine_name, query, request_params, result_container, timeout_limit):
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engine = engines[engine_name]
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def search_one_request(engine, query, request_params, timeout_limit):
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# update request parameters dependent on
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# search-engine (contained in engines folder)
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engine.request(query, request_params)
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# TODO add support of offline engines
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if request_params['url'] is None:
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return False
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# ignoring empty urls
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if request_params['url'] is None:
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return []
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if not request_params['url']:
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return False
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return []
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# send request
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response = send_http_request(engine, request_params, timeout_limit)
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# parse response
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success = None
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if response:
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# parse the response
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response.search_params = request_params
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try:
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search_results = engine.response(response)
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except:
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logger.exception('engine crash: {0}'.format(engine.name))
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search_results = []
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# parse the response
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response.search_params = request_params
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return engine.response(response)
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def search_one_request_safe(engine_name, query, request_params, result_container, timeout_limit):
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start_time = time()
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engine = engines[engine_name]
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try:
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# send requests and parse the results
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search_results = search_one_request(engine, query, request_params, timeout_limit)
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# add results
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for result in search_results:
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result['engine'] = engine.name
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result['engine'] = engine_name
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result_container.extend(engine_name, search_results)
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result_container.extend(engine.name, search_results)
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# update engine time when there is no exception
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with threading.RLock():
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engine.stats['engine_time'] += time() - start_time
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engine.stats['engine_time_count'] += 1
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success = True
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else:
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success = False
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return True
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with threading.RLock():
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# update stats : total time
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engine.stats['engine_time'] += time() - request_params['started']
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engine.stats['engine_time_count'] += 1
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except Exception as e:
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engine.stats['errors'] += 1
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return success
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search_duration = time() - start_time
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requests_exception = False
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if (issubclass(e.__class__, requests.exceptions.Timeout)):
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# requests timeout (connect or read)
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logger.error("engine {0} : HTTP requests timeout"
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"(search duration : {1} s, timeout: {2} s) : {3}"
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.format(engine_name, search_duration, timeout_limit, e.__class__.__name__))
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requests_exception = True
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if (issubclass(e.__class__, requests.exceptions.RequestException)):
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# other requests exception
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logger.exception("engine {0} : requests exception"
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"(search duration : {1} s, timeout: {2} s) : {3}"
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.format(engine_name, search_duration, timeout_limit, e))
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requests_exception = True
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else:
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# others errors
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logger.exception('engine {0} : exception : {1}'.format(engine_name, e))
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# update continuous_errors / suspend_end_time
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if requests_exception:
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with threading.RLock():
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engine.continuous_errors += 1
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engine.suspend_end_time = time() + min(60, engine.continuous_errors)
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#
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return False
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def search_multiple_requests(requests, result_container, timeout_limit):
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@ -148,7 +157,7 @@ def search_multiple_requests(requests, result_container, timeout_limit):
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for engine_name, query, request_params in requests:
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th = threading.Thread(
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target=search_one_request,
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target=search_one_request_safe,
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args=(engine_name, query, request_params, result_container, timeout_limit),
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name=search_id,
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)
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