Indonesian Wikipedia Monthly User Activity Dashboard
Click the username to get the details
brave_Um0AMuzApa.mp4
Open the WmCloud Superset Instance to access idwiki_p schema at Wikimedia S2 database. Then, execute this query :
select actor_name, group_concat(distinct rc_title separator ';') as nya
from recentchanges join actor where rc_actor = actor_id and rc_timestamp >= 20240101000000 and rc_timestamp <= 20240201000000
group by actor_name P.S. : You can configure the time window according to your own needs
After the result is generated, click "copy to clipboard", paste it to a file (all_act.txt), then convert this file into json by using this python script :
import sys
import json
sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf8')
d = dict()
with open('all_act.txt', 'r', encoding='utf-8') as file:
line = file.readline()
while line:
nya = line.split("\t")
d[nya[0]] = dict()
d[nya[0]]["a"] = nya[1]
d[nya[0]]["l"] = len(nya[1].split(";"))
line = file.readline()
sorted_dict = dict(sorted(d.items(), key=lambda x: x[1]["l"], reverse=True))
json_data = json.dumps(sorted_dict)
print(json_data)Finally, put this json into a.js
Use this script to generate user collab stat.
import sys
import json
sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf8')
d = dict()
dd = dict()
with open('all_act.txt', 'r', encoding='utf-8') as file:
line = file.readline()
while line:
nya = line.split("\t")
d[nya[0]] = dict()
d[nya[0]]["a"] = nya[1]
d[nya[0]]["l"] = len(nya[1].split(";"))
line = file.readline()
for i in nya[1].split(";"):
if i not in dd:
dd[i] = dict()
dd[i]["a"] = set()
dd[i]["a"].add(nya[0])
dd[i]["l"] = len(dd[i]["a"])
else:
dd[i]["a"].add(nya[0])
dd[i]["l"] = len(dd[i]["a"])
sorted_dict = dict(sorted(dd.items(), key=lambda x: x[1]["l"], reverse=True))
for nya in sorted_dict:
sorted_dict[nya]["a"] = list(sorted_dict[nya]["a"])
json_data = json.dumps(sorted_dict)
print(json_data)Put this json to b.js, access it by using pco.html
Get the top 1000 most visited articles from id.wikipedia for all days in specified month as JSON data:
https://wikimedia.org/api/rest_v1/metrics/pageviews/top/id.wikipedia/all-access/2024/01/all-days
Copy the JSON data, execute this python script.
import sys
sys.stdout = open(sys.stdout.fileno(), mode='w', encoding='utf8')
nya = PASTE_THE_JSON_DATA_HERE
rank = 1
print("== Pageview ==")
print("{| class='wikitable'")
print("!rank!!rc_title!!pageview")
print("|-")
for i in nya:
for j in nya[i][0]["articles"]:
strs = "|"+str(rank)+"||"+"[["+str(j["article"])+"]]||"+str(j["views"])
print(strs)
print("|-")
rank = rank + 1
print("|}")
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