ZaclysIndustries
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searxngRebrandZaclys
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[enh] engine score stats

This commit is contained in:
asciimoo 2013-10-27 14:21:23 +01:00
parent 13a4582a40
commit e2c1c10657
1 changed files with 14 additions and 2 deletions
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16
searx/engines/__init__.py
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@ -69,7 +69,7 @@ for section in engines_config.sections():
print '[E] Engine config error: Missing attribute "{0}.{1}"'.format(engine.name, engine_attr) print '[E] Engine config error: Missing attribute "{0}.{1}"'.format(engine.name, engine_attr)
sys.exit(1) sys.exit(1)
engines[engine.name] = engine engines[engine.name] = engine
engine.stats = {'result_count': 0, 'search_count': 0, 'page_load_time': 0} engine.stats = {'result_count': 0, 'search_count': 0, 'page_load_time': 0, 'score_count': 0}
if hasattr(engine, 'categories'): if hasattr(engine, 'categories'):
for category_name in engine.categories: for category_name in engine.categories:
categories.setdefault(category_name, []).append(engine) categories.setdefault(category_name, []).append(engine)
@ -136,6 +136,7 @@ def search(query, request, selected_categories):
for i,res in enumerate(flat_res): for i,res in enumerate(flat_res):
res['parsed_url'] = urlparse(res['url']) res['parsed_url'] = urlparse(res['url'])
score = (flat_len - i)*settings.weights.get(res['engine'], 1) score = (flat_len - i)*settings.weights.get(res['engine'], 1)
engines[res['engine']].stats['score_count'] += score
duplicated = False duplicated = False
for new_res in results: for new_res in results:
if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\ if res['parsed_url'].netloc == new_res['parsed_url'].netloc and\
@ -163,17 +164,24 @@ def search(query, request, selected_categories):
def get_engines_stats(): def get_engines_stats():
pageloads = [] pageloads = []
results = [] results = []
scores = []
max_pageload = max_results = 0 max_pageload = max_results = max_score = 0
for engine in engines.values(): for engine in engines.values():
if engine.stats['search_count'] == 0: if engine.stats['search_count'] == 0:
continue continue
results_num = engine.stats['result_count']/float(engine.stats['search_count']) results_num = engine.stats['result_count']/float(engine.stats['search_count'])
load_times = engine.stats['page_load_time']/float(engine.stats['search_count']) load_times = engine.stats['page_load_time']/float(engine.stats['search_count'])
if results_num:
score = engine.stats['score_count'] / float(engine.stats['search_count']) / results_num
else:
score = 0
max_results = max(results_num, max_results) max_results = max(results_num, max_results)
max_pageload = max(load_times, max_pageload) max_pageload = max(load_times, max_pageload)
max_score = max(score, max_score)
pageloads.append({'avg': load_times, 'name': engine.name}) pageloads.append({'avg': load_times, 'name': engine.name})
results.append({'avg': results_num, 'name': engine.name}) results.append({'avg': results_num, 'name': engine.name})
scores.append({'avg': score, 'name': engine.name})
for engine in pageloads: for engine in pageloads:
engine['percentage'] = int(engine['avg']/max_pageload*100) engine['percentage'] = int(engine['avg']/max_pageload*100)
@ -181,7 +189,11 @@ def get_engines_stats():
for engine in results: for engine in results:
engine['percentage'] = int(engine['avg']/max_results*100) engine['percentage'] = int(engine['avg']/max_results*100)
for engine in scores:
engine['percentage'] = int(engine['avg']/max_score*100)
return [('Page loads (sec)', sorted(pageloads, key=itemgetter('avg'), reverse=True)) return [('Page loads (sec)', sorted(pageloads, key=itemgetter('avg'), reverse=True))
,('Number of results', sorted(results, key=itemgetter('avg'), reverse=True)) ,('Number of results', sorted(results, key=itemgetter('avg'), reverse=True))
,('Scores', sorted(scores, key=itemgetter('avg'), reverse=True))
] ]