def topic():
if "logged_in" in session and session["logged_in"]:
if session["user"] == "admin":
request_method = request.method
if request_method == "GET":
args = request.args
topic = args.get("keyword", None)
time = args.get("time", None)
rank_method = args.get("rank_method", "pagerank")
page_num = args.get("page_num", 20)
top_n = args.get("top_n", 500)
if not topic or not time:
return redirect("/identify/")
dur_time = _utf_encode(time)
start_ts, end_ts = _time_zone(dur_time)
return render_template(
"identify/topic.html",
topic=topic,
start_ts=start_ts,
end_ts=end_ts,
rank_method=rank_method,
page_num=page_num,
top_n=top_n,
window_size=1,
dur_time=_utf_decode(dur_time),
)
if request_method == "POST":
form = request.form
topic = form.get("topic", None)
start_ts = form.get("start_ts", None)
end_ts = form.get("end_ts", None)
if start_ts:
start_ts = int(start_ts)
if end_ts:
end_ts = int(end_ts)
rank_method = form.get("rank_method", "pagerank")
page_num = int(form.get("page_num", 20))
top_n = int(form.get("top_n", 500))
current_date = ts2datetime(end_ts)
window_size = (end_ts - start_ts) / (24 * 3600)
data = read_topic_rank_results(topic, top_n, rank_method, current_date, window_size)
return json.dumps({"status": "current finished", "data": data})
else:
return redirect("/")
def network_rank():
topic = request.args.get('topic', '')
start_ts = request.args.get('start_ts', '')
start_ts = int(start_ts)
end_ts = request.args.get('end_ts', '')
end_ts = int(end_ts)
windowsize = (end_ts - start_ts) / Day
topn = request.args.get('topn', 100)
topn = int(topn)
domain = request.args.get('domain', 'all')
date = ts2datetime(end_ts)
rank_method = 'spark_pagerank'
results = read_topic_rank_results(topic, topn, rank_method, date, windowsize, domain)
return json.dumps(results)
def network_rank():
topic = request.args.get('topic', '')
start_ts = request.args.get('start_ts', '')
start_ts = int(start_ts)
end_ts = request.args.get('end_ts', '')
end_ts = int(end_ts)
windowsize = (end_ts - start_ts) / Day
topn = request.args.get('topn', 100)
topn = int(topn)
domain = request.args.get('domain', 'all')
date = ts2datetime(end_ts)
rank_method = 'spark_pagerank'
results = read_topic_rank_results(topic, topn, rank_method, date,
windowsize, domain)
return json.dumps(results)