mirror of
https://github.com/searxng/searxng.git
synced 2025-08-03 10:32:21 +02:00
fix: robot fw, entry points, some flake8, package searx egg
This commit is contained in:
Matej Cotman
parent
b7fa79081f
commit
dd4662978d
17 changed files with 293 additions and 130 deletions
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@ -35,6 +35,7 @@ engines = {}
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categories = {'general': []}
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def load_module(filename):
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modname = splitext(filename)[0]
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if modname in sys.modules:
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@ -50,7 +51,7 @@ if not 'engines' in settings or not settings['engines']:
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for engine_data in settings['engines']:
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engine_name = engine_data['engine']
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engine = load_module(engine_name+'.py')
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engine = load_module(engine_name + '.py')
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for param_name in engine_data:
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if param_name == 'engine':
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continue
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@ -58,38 +59,50 @@ for engine_data in settings['engines']:
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if engine_data['categories'] == 'none':
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engine.categories = []
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else:
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engine.categories = map(str.strip, engine_data['categories'].split(','))
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engine.categories = map(
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str.strip, engine_data['categories'].split(','))
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continue
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setattr(engine, param_name, engine_data[param_name])
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for engine_attr in dir(engine):
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if engine_attr.startswith('_'):
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continue
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if getattr(engine, engine_attr) == None:
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print '[E] Engine config error: Missing attribute "{0}.{1}"'.format(engine.name, engine_attr)
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print '[E] Engine config error: Missing attribute "{0}.{1}"'.format(engine.name, engine_attr) # noqa
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sys.exit(1)
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engines[engine.name] = engine
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engine.stats = {'result_count': 0, 'search_count': 0, 'page_load_time': 0, 'score_count': 0, 'errors': 0}
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engine.stats = {
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'result_count': 0,
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'search_count': 0,
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'page_load_time': 0,
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'score_count': 0,
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'errors': 0
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}
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if hasattr(engine, 'categories'):
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for category_name in engine.categories:
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categories.setdefault(category_name, []).append(engine)
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else:
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categories['general'].append(engine)
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def default_request_params():
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return {'method': 'GET', 'headers': {}, 'data': {}, 'url': '', 'cookies': {}}
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return {
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'method': 'GET', 'headers': {}, 'data': {}, 'url': '', 'cookies': {}}
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def make_callback(engine_name, results, suggestions, callback, params):
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# creating a callback wrapper for the search engine results
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def process_callback(response, **kwargs):
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cb_res = []
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response.search_params = params
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engines[engine_name].stats['page_load_time'] += (datetime.now() - params['started']).total_seconds()
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engines[engine_name].stats['page_load_time'] += \
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(datetime.now() - params['started']).total_seconds()
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try:
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search_results = callback(response)
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except Exception, e:
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engines[engine_name].stats['errors'] += 1
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results[engine_name] = cb_res
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print '[E] Error with engine "{0}":\n\t{1}'.format(engine_name, str(e))
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print '[E] Error with engine "{0}":\n\t{1}'.format(
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engine_name, str(e))
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return
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for result in search_results:
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result['engine'] = engine_name
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@ -101,23 +114,25 @@ def make_callback(engine_name, results, suggestions, callback, params):
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results[engine_name] = cb_res
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return process_callback
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def score_results(results):
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flat_res = filter(None, chain.from_iterable(izip_longest(*results.values())))
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flat_res = filter(
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None, chain.from_iterable(izip_longest(*results.values())))
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flat_len = len(flat_res)
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engines_len = len(results)
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results = []
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# deduplication + scoring
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for i,res in enumerate(flat_res):
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for i, res in enumerate(flat_res):
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res['parsed_url'] = urlparse(res['url'])
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res['engines'] = [res['engine']]
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weight = 1.0
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if hasattr(engines[res['engine']], 'weight'):
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weight = float(engines[res['engine']].weight)
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score = int((flat_len - i)/engines_len)*weight+1
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score = int((flat_len - i) / engines_len) * weight + 1
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duplicated = False
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for new_res in results:
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p1 = res['parsed_url'].path[:-1] if res['parsed_url'].path.endswith('/') else res['parsed_url'].path
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p2 = new_res['parsed_url'].path[:-1] if new_res['parsed_url'].path.endswith('/') else new_res['parsed_url'].path
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p1 = res['parsed_url'].path[:-1] if res['parsed_url'].path.endswith('/') else res['parsed_url'].path # noqa
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p2 = new_res['parsed_url'].path[:-1] if new_res['parsed_url'].path.endswith('/') else new_res['parsed_url'].path # noqa
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if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
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p1 == p2 and\
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res['parsed_url'].query == new_res['parsed_url'].query and\
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@ -125,7 +140,7 @@ def score_results(results):
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duplicated = new_res
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break
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if duplicated:
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if len(res.get('content', '')) > len(duplicated.get('content', '')):
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if len(res.get('content', '')) > len(duplicated.get('content', '')): # noqa
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duplicated['content'] = res['content']
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duplicated['score'] += score
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duplicated['engines'].append(res['engine'])
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@ -139,6 +154,7 @@ def score_results(results):
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results.append(res)
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return sorted(results, key=itemgetter('score'), reverse=True)
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def search(query, request, selected_engines):
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global engines, categories, number_of_searches
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requests = []
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@ -160,13 +176,20 @@ def search(query, request, selected_engines):
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request_params['started'] = datetime.now()
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request_params = engine.request(query, request_params)
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callback = make_callback(selected_engine['name'], results, suggestions, engine.response, request_params)
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callback = make_callback(
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selected_engine['name'],
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results,
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suggestions,
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engine.response,
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request_params
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)
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request_args = dict(headers = request_params['headers']
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,hooks = dict(response=callback)
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,cookies = request_params['cookies']
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,timeout = settings['server']['request_timeout']
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)
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request_args = dict(
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headers=request_params['headers'],
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hooks=dict(response=callback),
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cookies=request_params['cookies'],
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timeout=settings['server']['request_timeout']
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)
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if request_params['method'] == 'GET':
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req = grequests.get
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@ -180,7 +203,7 @@ def search(query, request, selected_engines):
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requests.append(req(request_params['url'], **request_args))
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grequests.map(requests)
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for engine_name,engine_results in results.items():
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for engine_name, engine_results in results.items():
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engines[engine_name].stats['search_count'] += 1
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engines[engine_name].stats['result_count'] += len(engine_results)
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@ -192,6 +215,7 @@ def search(query, request, selected_engines):
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return results, suggestions
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def get_engines_stats():
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# TODO refactor
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pageloads = []
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@ -200,14 +224,15 @@ def get_engines_stats():
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errors = []
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scores_per_result = []
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max_pageload = max_results = max_score = max_errors = max_score_per_result = 0
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max_pageload = max_results = max_score = max_errors = max_score_per_result = 0 # noqa
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for engine in engines.values():
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if engine.stats['search_count'] == 0:
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continue
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results_num = engine.stats['result_count']/float(engine.stats['search_count'])
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load_times = engine.stats['page_load_time']/float(engine.stats['search_count'])
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results_num = \
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engine.stats['result_count'] / float(engine.stats['search_count'])
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load_times = engine.stats['page_load_time'] / float(engine.stats['search_count']) # noqa
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if results_num:
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score = engine.stats['score_count'] / float(engine.stats['search_count'])
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score = engine.stats['score_count'] / float(engine.stats['search_count']) # noqa
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score_per_result = score / results_num
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else:
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score = score_per_result = 0.0
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@ -220,30 +245,39 @@ def get_engines_stats():
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results.append({'avg': results_num, 'name': engine.name})
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scores.append({'avg': score, 'name': engine.name})
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errors.append({'avg': engine.stats['errors'], 'name': engine.name})
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scores_per_result.append({'avg': score_per_result, 'name': engine.name})
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scores_per_result.append({
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'avg': score_per_result,
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'name': engine.name
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})
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for engine in pageloads:
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engine['percentage'] = int(engine['avg']/max_pageload*100)
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engine['percentage'] = int(engine['avg'] / max_pageload * 100)
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for engine in results:
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engine['percentage'] = int(engine['avg']/max_results*100)
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engine['percentage'] = int(engine['avg'] / max_results * 100)
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for engine in scores:
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engine['percentage'] = int(engine['avg']/max_score*100)
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engine['percentage'] = int(engine['avg'] / max_score * 100)
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for engine in scores_per_result:
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engine['percentage'] = int(engine['avg']/max_score_per_result*100)
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engine['percentage'] = int(engine['avg'] / max_score_per_result * 100)
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for engine in errors:
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if max_errors:
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engine['percentage'] = int(float(engine['avg'])/max_errors*100)
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engine['percentage'] = int(float(engine['avg']) / max_errors * 100)
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else:
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engine['percentage'] = 0
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return [('Page loads (sec)', sorted(pageloads, key=itemgetter('avg')))
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,('Number of results', sorted(results, key=itemgetter('avg'), reverse=True))
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,('Scores', sorted(scores, key=itemgetter('avg'), reverse=True))
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,('Scores per result', sorted(scores_per_result, key=itemgetter('avg'), reverse=True))
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,('Errors', sorted(errors, key=itemgetter('avg'), reverse=True))
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]
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return [
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('Page loads (sec)', sorted(pageloads, key=itemgetter('avg'))),
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(
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'Number of results',
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sorted(results, key=itemgetter('avg'), reverse=True)
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),
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('Scores', sorted(scores, key=itemgetter('avg'), reverse=True)),
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(
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'Scores per result',
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sorted(scores_per_result, key=itemgetter('avg'), reverse=True)
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),
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('Errors', sorted(errors, key=itemgetter('avg'), reverse=True)),
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]
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