def gsc_tag():
hour = datetime.now().hour
minute = datetime.now().minute
gsc_table = cache.get('supertaste_tag_cache')
if not gsc_table or \
((hour>0 and minute > 0) and (hour>0 and minute <= 1)) or ((hour>6 and minute > 0) and (hour>6 and minute <= 1)) or \
((hour>8 and minute > 0) and (hour>8 and minute <= 1)) or ((hour>10 and minute > 0) and (hour>10 and minute <= 1)) or \
((hour>12 and minute > 0) and (hour>12 and minute <= 1)) or ((hour>14 and minute > 0) and (hour>14 and minute <= 1)) or \
((hour>16 and minute > 0) and (hour>16 and minute <= 1)) or ((hour>18 and minute > 0) and (hour>18 and minute <= 1)) or \
((hour>20 and minute > 0) and (hour>20 and minute <= 1)) or ((hour>22 and minute > 0) and (hour>22 and minute <= 1)):
tag_gsc = read_gzip.tmp_read('dict', 'supertaste')
tag_gsc['search_content'] = tag_gsc["search_content"].map(
lambda tag: tag.replace(' ', ','))
tag_gsc['search_content'].replace('', np.nan, inplace=True)
tag_gsc = tag_gsc.dropna(how='all')
tag_gsc = tag_gsc.reset_index().rename(
columns={tag_gsc.index.name: 'nid'})
gsc_list = dataframe_to_json(tag_gsc)
gsc_table = jsonify(gsc_list)
gsc_table.status_code = 200
cache.set('supertaste_tag_cache', gsc_table, timeout=7200)
return gsc_table
else:
print('supertaste_tag_cache')
return gsc_table
def tvbs_news_tag_analysis():
hour = datetime.now().hour
minute = datetime.now().minute
# args = request.args
search_console = request.args.get('gsc', 'Y', type = str)
day = request.args.get('day',90 , type = int)
news_tag_summary = cache.get('health_tag_cache'+str(day)+search_console)
try:
if (not news_tag_summary) or\
((hour>0 and minute > 0) and (hour>0 and minute <= 1)) or ((hour>6 and minute > 0) and (hour>6 and minute <= 1)) or \
((hour>8 and minute > 0) and (hour>8 and minute <= 1)) or ((hour>10 and minute > 0) and (hour>10 and minute <= 1)) or \
((hour>12 and minute > 0) and (hour>12 and minute <= 1)) or ((hour>14 and minute > 0) and (hour>14 and minute <= 1)) or \
((hour>16 and minute > 0) and (hour>16 and minute <= 1)) or ((hour>18 and minute > 0) and (hour>18 and minute <= 1)) or \
((hour>20 and minute > 0) and (hour>20 and minute <= 1)) or ((hour>22 and minute > 0) and (hour>22 and minute <= 1)):
# if (not news_tag_summary):
print('Not cache')
back_tag_of_dfItem = tra.cache_article_table('health').get_aws_table_cache(day)
if search_console =='Y':
tag_summary = tra.editorTag('health',back_tag_of_dfItem,'Y').editor_tag_summary()
else:
tag_summary = tra.editorTag('health',back_tag_of_dfItem,'N').editor_tag_summary()
summary_list = dataframe_to_json(tag_summary)
news_tag_summary = jsonify(summary_list)
news_tag_summary.status_code=200
cache.set('health_tag_cache'+str(day)+search_console,news_tag_summary,timeout=7200)
return news_tag_summary
else:
print('health_tag_cache')
return news_tag_summary
finally:
print('request get /tvbs_health_tag_analysis')
def tvbs_news_tag_analysis():
hour = datetime.now().hour
minute = datetime.now().minute
args = request.args
day = args.get('day') if 'day' in args else 90
news_tag_summary = cache.get('news_tag_cache' + str(day))
try:
if (not news_tag_summary) or\
((hour>0 and minute > 0) and (hour>0 and minute <= 1)) or ((hour>6 and minute > 0) and (hour>6 and minute <= 1)) or \
((hour>8 and minute > 0) and (hour>8 and minute <= 1)) or ((hour>10 and minute > 0) and (hour>10 and minute <= 1)) or \
((hour>12 and minute > 0) and (hour>12 and minute <= 1)) or ((hour>14 and minute > 0) and (hour>14 and minute <= 1)) or \
((hour>16 and minute > 0) and (hour>16 and minute <= 1)) or ((hour>18 and minute > 0) and (hour>18 and minute <= 1)) or \
((hour>20 and minute > 0) and (hour>20 and minute <= 1)) or ((hour>22 and minute > 0) and (hour>22 and minute <= 1)):
# if (not news_tag_summary):
print('Not cache')
back_tag_of_dfItem = tra.cache_article_table(
'news').get_aws_table_cache(day)
tag_summary = tra.editorTag('news', back_tag_of_dfItem,
'N').editor_tag_summary()
summary_list = dataframe_to_json(tag_summary)
news_tag_summary = jsonify(summary_list)
news_tag_summary.status_code = 200
cache.set('news_tag_cache' + str(day),
news_tag_summary,
timeout=7200)
return news_tag_summary
else:
print('news_tag_cache')
return news_tag_summary
finally:
print('request get /tvbs_news_tag_analysis')
def user_prefer():
hour = datetime.now().hour
minute = datetime.now().minute
prefer_cache = cache.get('prefer_cache')
try:
if (not prefer_cache) or \
((hour>9 and minute > 0) and (hour>9 and minute <= 2)):
df_users_prefer_score = qr.user_prefer()
js_user_prefer_score = dataframe_to_json(df_users_prefer_score)
json_user_prefer = jsonify(js_user_prefer_score)
json_user_prefer.status_code = 200
cache.set('prefer_cache', json_user_prefer, timeout=7200)
return (json_user_prefer)
else:
print('prefer_cache')
return prefer_cache
finally:
print('request get /prefer_cache')
def user_recomment():
hour = datetime.now().hour
minute = datetime.now().minute
user_article_recommend = cache.get('user_article_recommend')
try:
if (not user_article_recommend) or \
((hour>9 and minute > 0) and (hour>9 and minute <= 2)):
df_users_prefer_score = requests.get(
f"http://127.0.0.1:8010/recommend_api/user_prefer")
recommend_article = requests.get(
f"http://127.0.0.1:8010/recommend_api/recommend_article")
top_rank = requests.get(
f"http://127.0.0.1:8010/recommend_api/top_rank")
df_users_prefer_score = pd.DataFrame.from_records(
df_users_prefer_score.json())
recommend_article = recommend_article.json()
top_rank = top_rank.json()
df_user_recommend = qr.user_recomment(df_users_prefer_score,
recommend_article,
top_rank["top_rank"])
df_user_recommend["recommend_article"] = [
','.join(map(str, l))
for l in df_user_recommend['recommend_article']
]
js_user_recommend = dataframe_to_json(df_user_recommend)
json_user_recommend = jsonify(js_user_recommend)
json_user_recommend.status_code = 200
cache.set('user_article_recommend',
json_user_recommend,
timeout=86400)
return (json_user_recommend)
else:
print('user_article_recommend')
return user_article_recommend
finally:
print('request get /user_article_recommend')