Wikidata - English descriptions starting with "a .."

Fork of Wikidata - English descriptions starting with "a .." by Jura1
This query is marked as a draft This query has been published by Hasley.
SQL

%%capture
%set_env http_proxy=http://webproxy.eqiad.wmnet:8080
%set_env https_proxy=https://webproxy.eqiad.wmnet:8080
%set_env no_proxy=localhost,127.0.0.1

import wmfdata
wmfdata.utils.insert_code_toggle()

from wmfdata import hive, mariadb
import pandas as pd
from datetime import datetime, timedelta, date

%matplotlib inline
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker

@ticker.FuncFormatter
def million_formatter(x, pos):
    return "%d M" % round(x/1000000)
@ticker.FuncFormatter
def thousand_formatter(x, pos):
    return "%d K" % round(x/1000)

now = pd.Timestamp.utcnow()
today=now.date()

last_Sunday=(today - timedelta(days=today.weekday()+1)).strftime("%Y-%m-%d")
month_1st_day= datetime.today().replace(day=1).strftime("%Y-%m-%d")

start_date_YYYY_MM_DD = '2021-01-04'
end_date_YYYY_MM_DD=last_Sunday
yr='2021'

pre_yr='2020'

start_date_YYYYMMDD = '20210104'
#end_date_YYYYMMDD=datetime.today().replace(day=1).strftime("%Y%m%d")

end_date_YYYYMMDD=(today - timedelta(days=today.weekday()+1)).strftime("%Y%m%d")

if datetime.today().day < 7:
    snapshot = datetime.today().replace(month=datetime.today().month-2).strftime("%Y-%m")
else:
    snapshot = datetime.today().replace(month=datetime.today().month-1).strftime("%Y-%m")

lastyear_start_date_YYYY_MM_DD = '2020-01-01'
lastyear_end_date_YYYY_MM_DD='2020-12-31'
lastyear_start_date_YYYYMMDD = '20200101'
lastyear_end_date_YYYYMMDD='20201231'
last2years_start_date_YYYY_MM_DD = '2019-01-01'
last2years_end_date_YYYY_MM_DD='2019-12-31'
last2years_start_date_YYYYMMDD = '20190101'
last2years_end_date_YYYYMMDD='20191231'

weekly_user_editors_query='''
SELECT tmp.week_n, COUNT(tmp.user_id) AS user_editors
FROM
(SELECT  WEEKOFYEAR(rev_timestamp) AS week_n,  performer.user_id AS user_id, max(performer.user_text) AS user_text
FROM event_sanitized.mediawiki_revision_create
WHERE year='{YEAR_YYYY}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp <= '{END_YYYY_MM_DD}') 
AND performer.user_id IS NOT null 
AND page_namespace IN (0,6,12,640,100,102,104,106,108,110,112,114,124,146,250,252) 
AND `database`='ptwiki'
GROUP BY   WEEKOFYEAR(rev_timestamp), performer.user_id 
)AS tmp
GROUP BY tmp.week_n
'''

df_weekly_user_editors=hive.run(weekly_user_editors_query.format(YEAR_YYYY=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

weekly_user_editors_query='''
SELECT
       weekofyear(event_timestamp) AS week_n, COUNT(DISTINCT event_user_id) wiki_user_editors
FROM wmf.mediawiki_history
WHERE
        event_entity = 'revision' AND
        event_type = 'create' AND
        DATE(event_timestamp) >= '{START_YYYY_MM_DD}' AND DATE(event_timestamp) <= '{END_YYYY_MM_DD}' AND
        event_user_is_anonymous = false  AND page_namespace_is_content
        AND snapshot = '{SNAPSHOT}' AND wiki_db='ptwiki'
GROUP BY weekofyear(event_timestamp) 
'''

df2_weekly_user_editors_pre_1_year=hive.run(weekly_user_editors_query.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df2_weekly_user_editors_pre_2_years=hive.run(weekly_user_editors_query.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Weekly User Editors',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Editors',  fontsize = 16)

ax.plot(df_weekly_user_editors['week_n'], df_weekly_user_editors['user_editors'], 'o-',label='Year 2021')
ax.plot(df2_weekly_user_editors_pre_1_year['week_n'], df2_weekly_user_editors_pre_1_year['wiki_user_editors'], 'o--',label='Year 2020')
ax.plot(df2_weekly_user_editors_pre_2_years['week_n'], df2_weekly_user_editors_pre_2_years['wiki_user_editors'], ':',label='Year 2019')


ax.set_xlim(1,52)
ax.set_ylim(0,5000)
ax.vlines(40, 0, 5000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)
                    

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')

plt.show()

weekly_edits_query='''
SELECT WEEKOFYEAR(rev_timestamp) AS week_n, COUNT(*) AS edits
FROM event_sanitized.mediawiki_revision_create
WHERE year='{YEAR_YYYY}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp <= '{END_YYYY_MM_DD}') 
AND `database`='ptwiki'
GROUP BY WEEKOFYEAR(rev_timestamp) 
'''

df_weekly_edits=hive.run(weekly_edits_query.format(YEAR_YYYY=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

weekly_edits_query_2='''
SELECT
       weekofyear(event_timestamp) AS week_n, COUNT(revision_id) AS edits
FROM wmf.mediawiki_history
WHERE
        event_entity = 'revision' AND
        event_type = 'create' AND
        DATE(event_timestamp) >= '{START_YYYY_MM_DD}' AND DATE(event_timestamp) <= '{END_YYYY_MM_DD}' AND
        snapshot = '{SNAPSHOT}'
        AND wiki_db='ptwiki'
GROUP BY weekofyear(event_timestamp) 
'''

df2_weekly_edits_pre_1_year=hive.run(weekly_edits_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df2_weekly_edits_pre_2_years=hive.run(weekly_edits_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Weekly Edits',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Edits',  fontsize = 16)
ax.plot(df_weekly_edits['week_n'], df_weekly_edits['edits'], 'o-',label='Year 2021')
ax.plot(df2_weekly_edits_pre_1_year['week_n'], df2_weekly_edits_pre_1_year['edits'], 'o--',label='Year 2020')
ax.plot(df2_weekly_edits_pre_2_years['week_n'], df2_weekly_edits_pre_2_years['edits'], ':',label='Year 2019')
ax.set_xlim(1,52)
ax.set_ylim(0,150000)
ax.vlines(40, 0, 150000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')

ax.yaxis.set_major_formatter(thousand_formatter)

ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
#plt.savefig("1_ptwiki_weekly_edits.png")

plt.show()

query_weekly_reverts='''

SELECT weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss'))) AS week_n,
 count(revision_id) AS reverted_edits
FROM wmf.mediawiki_history
WHERE snapshot= '{SNAPSHOT}' AND wiki_db='ptwiki'
AND substr(event_timestamp,1,10) BETWEEN '{START_YYYY_MM_DD}' AND '{END_YYYY_MM_DD}'
AND event_entity = "revision" AND revision_is_identity_reverted 
GROUP BY weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss')))
'''

df_weekly_reverts=hive.run(query_weekly_reverts.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_weekly_reverts_pre_1_year=hive.run(query_weekly_reverts.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df_weekly_reverts_pre_2_years=hive.run(query_weekly_reverts.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Weekly Reverted Edits',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Reverts',  fontsize = 16)
ax.plot(df_weekly_reverts['week_n'][:-1], df_weekly_reverts['reverted_edits'][:-1], 'o-',label='Year 2021')
ax.plot(df_weekly_reverts_pre_1_year['week_n'], df_weekly_reverts_pre_1_year['reverted_edits'], 'o--',label='Year 2020')
ax.plot(df_weekly_reverts_pre_2_years['week_n'], df_weekly_reverts_pre_2_years['reverted_edits'], ':',label='Year 2019')
ax.set_xlim(1,52)
ax.set_ylim(0,15000)
ax.vlines(40, 0, 15000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')

ax.yaxis.set_major_formatter(thousand_formatter)

ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_weekly_reverts_48hrs='''
SELECT weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss'))) AS week_n,
 count(revision_id) AS reverted_edits
FROM wmf.mediawiki_history
WHERE snapshot= '{SNAPSHOT}' AND wiki_db='ptwiki'
AND substr(event_timestamp,1,10) BETWEEN '{START_YYYY_MM_DD}' AND '{END_YYYY_MM_DD}'
AND event_entity = "revision" AND revision_is_identity_reverted AND revision_seconds_to_identity_revert <= 172800
GROUP BY weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss')))
'''

df_weekly_reverts_48hrs=hive.run(query_weekly_reverts_48hrs.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_weekly_reverts_48hrs_pre_1_year=hive.run(query_weekly_reverts_48hrs.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df_weekly_reverts_48hrs_pre_2_years=hive.run(query_weekly_reverts_48hrs.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Weekly Reverts Within 48 Hours of Editing',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Reverts',  fontsize = 16)
ax.plot(df_weekly_reverts_48hrs['week_n'][:-1], df_weekly_reverts_48hrs['reverted_edits'][:-1], 'o-',label='Year 2021')
ax.plot(df_weekly_reverts_48hrs_pre_1_year['week_n'], df_weekly_reverts_48hrs_pre_1_year['reverted_edits'], 'o--',label='Year 2020')
ax.plot(df_weekly_reverts_48hrs_pre_2_years['week_n'], df_weekly_reverts_48hrs_pre_2_years['reverted_edits'], ':',label='Year 2019')

ax.set_xlim(1,52)
ax.set_ylim(0,15000)
ax.vlines(40, 0, 15000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')

ax.yaxis.set_major_formatter(thousand_formatter)

ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_weekly_non_reverted_nonbot_edits_48hr_exclude_revert_edits='''
WITH t1 AS
(
SELECT weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss'))) AS week_n,
 count(revision_id) AS non_reverted_edits
FROM wmf.mediawiki_history
WHERE snapshot= '{SNAPSHOT}' AND wiki_db='ptwiki'
-- for bots size(event_user_is_bot_by) returns 1/2, IP editors return -1, registered non-bot editors return 0
AND  size(event_user_is_bot_by) <= 0 
AND substr(event_timestamp,1,10) BETWEEN '{START_YYYY_MM_DD}' AND '{END_YYYY_MM_DD}'
AND event_entity = "revision" AND (NOT revision_is_identity_reverted  OR revision_seconds_to_identity_revert > 172800)
GROUP BY weekofyear(from_unixtime(UNIX_timestamp(event_timestamp,'yyyy-MM-dd HH:mm:ss')))
ORDER BY week_N
LIMIT 1000000
),
t2 AS
(
SELECT  weekofyear(from_unixtime(UNIX_timestamp(h1.event_timestamp,'yyyy-MM-dd HH:mm:ss'))) AS week_n,
 count(distinct h1.revision_id) AS revert_edits
FROM wmf.mediawiki_history AS h1 
LEFT JOIN wmf.mediawiki_history AS h2  -- h1 is revert edits, h2 is the edits being reverted
     ON h1.revision_id=h2.revision_first_identity_reverting_revision_id  
      AND h1.wiki_db = h2.wiki_db
      AND h1.snapshot= h2.snapshot 
WHERE h1.wiki_db = 'ptwiki' AND h1.snapshot='{SNAPSHOT}'
    -- for bots size(event_user_is_bot_by) returns 1 or 2, IP editors return -1, registered non-bot editors return 0
    AND size(h1.event_user_is_bot_by) <= 0 AND size(h2.event_user_is_bot_by) <= 0
    AND substr(h1.event_timestamp,1,10) BETWEEN '{START_YYYY_MM_DD}' AND '{END_YYYY_MM_DD}'
    AND h1.event_entity = "revision" and h2.event_entity = "revision" 
    AND (NOT h1.revision_is_identity_reverted  OR h1.revision_seconds_to_identity_revert > 172800)
    AND h2.revision_is_identity_reverted AND h2.revision_seconds_to_identity_revert < 172800
    AND h1.revision_is_identity_revert
    AND h1.event_entity = 'revision' and  h2.event_entity = 'revision'
GROUP BY weekofyear(from_unixtime(UNIX_timestamp(h1.event_timestamp,'yyyy-MM-dd HH:mm:ss')))
ORDER BY week_n
LIMIT 10000
)
SELECT t1.week_n, t1.non_reverted_edits - t2.revert_edits AS net_non_reverted_edits
FROM  t1
LEFT JOIN t2 ON t1.week_n=t2.week_n
'''

df_weekly_net_non_reverted_48hrs_edits=hive.run(query_weekly_non_reverted_nonbot_edits_48hr_exclude_revert_edits.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_weekly_net_non_reverted_48hrs_edits_pre_1_year=hive.run(query_weekly_non_reverted_nonbot_edits_48hr_exclude_revert_edits.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df_weekly_net_non_reverted_48hrs_edits_pre_2_years=hive.run(query_weekly_non_reverted_nonbot_edits_48hr_exclude_revert_edits.format(SNAPSHOT=snapshot,START_YYYY_MM_DD= last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Weekly Edits Which Were Not Reverted in 48 Hours (Excluding Bot And Revert Edits)',fontweight="bold",fontsize = 16, y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Net Non-reverted Edits',  fontsize = 16)
ax.plot(df_weekly_net_non_reverted_48hrs_edits['week_n'][:-1], df_weekly_net_non_reverted_48hrs_edits['net_non_reverted_edits'][:-1], 'o-',label='Year 2021')
ax.plot(df_weekly_net_non_reverted_48hrs_edits_pre_1_year['week_n'], df_weekly_net_non_reverted_48hrs_edits_pre_1_year['net_non_reverted_edits'], 'o--',label='Year 2020')
ax.plot(df_weekly_net_non_reverted_48hrs_edits_pre_2_years['week_n'], df_weekly_net_non_reverted_48hrs_edits_pre_2_years['net_non_reverted_edits'], ':',label='Year 2019')

ax.set_xlim(1,52)
ax.set_ylim(0,150000)
ax.vlines(40, 0, 150000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')

ax.yaxis.set_major_formatter(thousand_formatter)

ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

weekly_edits_bot_query='''
SELECT WEEKOFYEAR(rev_timestamp) AS week_n, COUNT(*) AS bot_edits
FROM event_sanitized.mediawiki_revision_create
WHERE year='{YEAR_YYYY}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp <= '{END_YYYY_MM_DD}') 
AND performer.user_id IS not null AND `database`='ptwiki'
AND  ( performer.user_is_bot=true OR performer.user_text regexp "^.*bot([^a-z].*$|$)")
GROUP BY  WEEKOFYEAR(rev_timestamp) 
'''

weekly_edits_nonbot_query='''
SELECT WEEKOFYEAR(rev_timestamp) AS week_n,  COUNT(*) AS nonbot_edits
FROM event_sanitized.mediawiki_revision_create
WHERE year='{YEAR_YYYY}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp <= '{END_YYYY_MM_DD}') 
AND performer.user_id IS not null AND `database`='ptwiki'
AND  ( performer.user_is_bot=false AND performer.user_text not regexp "^.*bot([^a-z].*$|$)")
GROUP BY  WEEKOFYEAR(rev_timestamp) 
'''

df_weekly_bot_edits=hive.run(weekly_edits_bot_query.format(YEAR_YYYY=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_weekly_nonbot_edits=hive.run(weekly_edits_nonbot_query.format(YEAR_YYYY=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

weekly_edits_bot_query_2='''
SELECT
       weekofyear(event_timestamp) AS week_n, COUNT(revision_id) AS edits
FROM wmf.mediawiki_history
WHERE
        event_entity = 'revision' AND
        event_type = 'create' AND
        DATE(event_timestamp) >= '{START_YYYY_MM_DD}' AND DATE(event_timestamp) <= '{END_YYYY_MM_DD}' AND
        event_user_is_anonymous = false AND
        (size(event_user_is_bot_by_historical) > 0 OR size(event_user_is_bot_by) > 0  
        OR event_user_text  regexp "^.*bot([^a-z].*$|$)" )
        AND snapshot = '{SNAPSHOT}' AND wiki_db='ptwiki'
GROUP BY weekofyear(event_timestamp) 
'''

df2_weekly_bot_edits_pre_1_year=hive.run(weekly_edits_bot_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df2_weekly_bot_edits_pre_2_years=hive.run(weekly_edits_bot_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

weekly_edits_nonbot_query_2='''
SELECT
       weekofyear(event_timestamp) AS week_n, COUNT(revision_id) AS edits
FROM wmf.mediawiki_history
WHERE
        event_entity = 'revision' AND
        event_type = 'create' AND
        DATE(event_timestamp) >= '{START_YYYY_MM_DD}' AND DATE(event_timestamp) <= '{END_YYYY_MM_DD}' AND
        event_user_is_anonymous = false AND 
        (size(event_user_is_bot_by_historical) = 0 AND size(event_user_is_bot_by) = 0  
        AND event_user_text not regexp "^.*bot([^a-z].*$|$)" )
        AND snapshot = '{SNAPSHOT}' AND wiki_db='ptwiki'
GROUP BY weekofyear(event_timestamp) 
'''

df2_weekly_nonbot_edits_pre_1_year=hive.run(weekly_edits_nonbot_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df2_weekly_nonbot_edits_pre_2_years=hive.run(weekly_edits_nonbot_query_2.format(SNAPSHOT=snapshot, START_YYYY_MM_DD=last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=2, ncols=1,figsize=(16,12))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax[0].set_title('Weekly Edits by Registered Bot Editors',fontweight="bold",fontsize = 16,y=1.08)
ax[0].set_xlabel('Week',  fontsize = 16)
ax[0].set_ylabel('Edits',  fontsize = 16)
ax[0].plot(df_weekly_bot_edits['week_n'], df_weekly_bot_edits['bot_edits'], 'o-',label='Year 2021')
ax[0].plot(df2_weekly_bot_edits_pre_1_year['week_n'], df2_weekly_bot_edits_pre_1_year['edits'], 'o--',label='Year 2020')
ax[0].plot(df2_weekly_bot_edits_pre_2_years['week_n'], df2_weekly_bot_edits_pre_2_years['edits'], ':',label='Year 2019')


ax[0].set_xlim(1,52)
ax[0].set_ylim(0,80000)
ax[0].vlines(40, 0, 80000, colors='k', linestyles='dashdot', label='Turned off')
ax[0].legend(loc='upper right')
ax[0].yaxis.set_major_formatter(thousand_formatter)
ax2 = ax[0].twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')

ax[1].set_title('Weekly Edits by Registered Non-bot Editors',fontweight="bold",fontsize = 16,y=1.08)
ax[1].set_xlabel('Week',fontsize = 16)
ax[1].set_ylabel('Edits',fontsize = 16)

ax[1].set_xlim(1,52)
ax[1].set_ylim(0,80000)
ax[1].vlines(40, 0, 80000, colors='k', linestyles='dashdot', label='Turned off')
ax3=ax[1].twiny()
ax3.set_xlim(0,12)
ax3.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax3.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax3.tick_params(length=0)
#ax3.set_xlabel('Month',fontsize=16)
ax3.xaxis.set_minor_locator(miloc)
ax3.grid(axis='x', which='minor')

ax[1].plot(df_weekly_nonbot_edits['week_n'], df_weekly_nonbot_edits['nonbot_edits'], 'o-',label='Year 2021')
ax[1].plot(df2_weekly_nonbot_edits_pre_1_year['week_n'], df2_weekly_nonbot_edits_pre_1_year['edits'], 'o--',label='Year 2020')
ax[1].plot(df2_weekly_nonbot_edits_pre_2_years['week_n'], df2_weekly_nonbot_edits_pre_2_years['edits'], ':',label='Year 2019')

ax[1].legend(loc='upper right')
ax[1].yaxis.set_major_formatter(thousand_formatter)

plt.show()

query_block_weekly='''
SELECT WEEKofyear(from_unixtime(UNIX_timestamp(log_timestamp,'yyyyMMddHHmmss'))) AS week_n, 
COUNT(1) AS blocks
FROM wmf_raw.mediawiki_logging
WHERE snapshot ='{SNAPSHOT}' AND log_type = 'block'  AND wiki_db='ptwiki'
AND  log_action IN ('block','reblock')
AND substr(log_timestamp,1,8) BETWEEN '{START_YYYYMMDD}' AND '{END_YYYYMMDD}'
GROUP BY WEEKofyear(from_unixtime(UNIX_timestamp(log_timestamp,'yyyyMMddHHmmss')))
ORDER BY week_n
LIMIT 100000
'''

df_block_weekly=hive.run(query_block_weekly.format(SNAPSHOT=snapshot, START_YYYYMMDD=start_date_YYYYMMDD, END_YYYYMMDD=end_date_YYYYMMDD))

df_block_weekly_pre_1_year=hive.run(query_block_weekly.format(SNAPSHOT=snapshot, START_YYYYMMDD=lastyear_start_date_YYYYMMDD, END_YYYYMMDD=lastyear_end_date_YYYYMMDD))

df_block_weekly_pre_2_years=hive.run(query_block_weekly.format(SNAPSHOT=snapshot, START_YYYYMMDD=last2years_start_date_YYYYMMDD, END_YYYYMMDD=last2years_end_date_YYYYMMDD))

fig, ax = plt.subplots(nrows=2, ncols=1,figsize=(16,12))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax[0].set_title('Ptwiki Weekly Blocks',fontweight="bold",fontsize = 16,y=1.08)
ax[0].set_xlabel('Week',  fontsize = 16)
ax[0].set_ylabel('Blocks',  fontsize = 16)
ax[0].plot(df_block_weekly['week_n'], df_block_weekly['blocks'], 'o-',label='Year 2021')
ax[0].plot(df_block_weekly_pre_1_year['week_n'], df_block_weekly_pre_1_year['blocks'], 'o--',label='Year 2020')
ax[0].plot(df_block_weekly_pre_2_years['week_n'], df_block_weekly_pre_2_years['blocks'], ':',label='Year 2019')
ax[0].set_xlim(1,52)
ax[0].set_ylim(0,14000)
ax[0].vlines(40, 0, 140000, colors='k', linestyles='dashdot', label='Turned off')
ax[0].legend(loc='upper right')

ax[0].yaxis.set_major_formatter(thousand_formatter)

ax2 = ax[0].twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')



ax[1].set_title('Ptwiki Weekly Blocks',fontweight="bold",fontsize = 16,y=1.08)
ax[1].set_xlabel('Week',fontsize = 16)
ax[1].set_ylabel('Blocks',fontsize = 16)

ax[1].set_xlim(1,52)
ax[1].set_ylim(0,4000)
ax[1].vlines(40, 0, 4000, colors='k', linestyles='dashdot', label='Turned off')
ax3=ax[1].twiny()
ax3.set_xlim(0,12)
ax3.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax3.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax3.tick_params(length=0)
ax3.set_xlabel('Month',fontsize=16)
ax3.xaxis.set_minor_locator(miloc)
ax3.grid(axis='x', which='minor')

ax[1].plot(df_block_weekly['week_n'], df_block_weekly['blocks'], 'o-',label='Year 2021')
ax[1].plot(df_block_weekly_pre_1_year['week_n'], df_block_weekly_pre_1_year['blocks'], 'o--',label='Year 2020')
ax[1].legend(loc='upper right')


plt.show()
  
query_accounts_created='''
SELECT WEEKofyear(from_unixtime(UNIX_timestamp(user_registration,'yyyyMMddHHmmss'))) AS week_n ,
COUNT(DISTINCT user_id) AS new_accounts
FROM wmf_raw.mediawiki_user
WHERe snapshot ='{SNAPSHOT}' AND substr(user_registration, 1,8) BETWEEN '{START_YYYYMMDD}' AND '{END_YYYYMMDD}'
 AND wiki_db='ptwiki' AND user_registration IS NOT NULL
 GROUP BY WEEKofyear(from_unixtime(UNIX_timestamp(user_registration,'yyyyMMddHHmmss'))) 
 ORDER BY week_n 
 LIMIT 10000
'''

df_accounts_created=hive.run(query_accounts_created.format(SNAPSHOT=snapshot,START_YYYYMMDD= start_date_YYYYMMDD, END_YYYYMMDD=end_date_YYYYMMDD ))

df_accounts_created_pre_1_year=hive.run(query_accounts_created.format(SNAPSHOT=snapshot, START_YYYYMMDD= lastyear_start_date_YYYYMMDD, END_YYYYMMDD=lastyear_end_date_YYYYMMDD ))

df_accounts_created_pre_2_years=hive.run(query_accounts_created.format(SNAPSHOT=snapshot, START_YYYYMMDD= last2years_start_date_YYYYMMDD, END_YYYYMMDD=last2years_end_date_YYYYMMDD ))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Created Accounts',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('New Accounts',  fontsize = 16)
ax.plot(df_accounts_created['week_n'][:-1], df_accounts_created['new_accounts'][:-1], 'o-',label='Year 2021')
ax.plot(df_accounts_created_pre_1_year['week_n'], df_accounts_created_pre_1_year['new_accounts'], 'o--',label='Year 2020')
ax.plot(df_accounts_created_pre_2_years['week_n'], df_accounts_created_pre_2_years['new_accounts'], ':',label='Year 2019')

ax.set_xlim(1,52)
ax.set_ylim(0,6000)
ax.vlines(40, 0, 6000, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_retention_rate='''
-- only count non-bot user 
SELECT 
          weekofyear(1st_month.user_creation_date) AS user_creation_cohort_week, 
          ROUND(SUM(CASE WHEN 2nd_month.edits IS NOT NULL THEN 1 ELSE 0 END) /COUNT(1), 6)          AS retention_rate
FROM      ( 
                   SELECT   event_user_text                           AS user_name, 
                            event_user_id                             AS user_id, 
                            substr(event_user_creation_timestamp,1,10) AS user_creation_date, 
                            count(*)                                  AS edits 
                   FROM     wmf.mediawiki_history 
                   WHERE    snapshot = "{SNAPSHOT}" 
                   AND      wiki_db='ptwiki' 
                   AND      event_entity = "revision" 
                   AND      event_type = "create" 
                   AND      NOT event_user_is_created_by_system 
                   AND      size(event_user_is_bot_by) = 0 
                   AND      event_user_creation_timestamp BETWEEN "{START_YYYY_MM_DD}" AND      "{END_YYYY_MM_DD}" 
                   AND      unix_timestamp(event_timestamp, "yyyy-MM-dd HH:mm:ss.0") < (unix_timestamp(event_user_creation_timestamp, "yyyy-MM-dd HH:mm:ss.0") + (30*24*60*60)) 
                   GROUP BY event_user_text, 
                            event_user_id, 
                            event_user_creation_timestamp
                            ) 1st_month 
LEFT JOIN 
          ( 
                   SELECT   event_user_text                           AS user_name, 
                            event_user_id                             AS user_id, 
                            substr(event_user_creation_timestamp,1,10) AS user_creation_date, 
                            count(*)                                  AS edits 
                   FROM     wmf.mediawiki_history 
                   WHERE    snapshot = "{SNAPSHOT}" 
                   AND      wiki_db='ptwiki' 
                   AND      event_entity = "revision" 
                   AND      event_type = "create" 
                   AND      NOT event_user_is_created_by_system 
                   AND      size(event_user_is_bot_by) = 0 
                   AND      event_user_creation_timestamp BETWEEN "{START_YYYY_MM_DD}" AND      "{END_YYYY_MM_DD}" 
                   AND      unix_timestamp(event_timestamp, "yyyy-MM-dd HH:mm:ss.0") >= (unix_timestamp(event_user_creation_timestamp, "yyyy-MM-dd HH:mm:ss.0") + (30*24*60*60)) 
                   AND      unix_timestamp(event_timestamp, "yyyy-MM-dd HH:mm:ss.0") < (unix_timestamp(event_user_creation_timestamp, "yyyy-MM-dd HH:mm:ss.0")  + (60*24*60*60)) 
                   GROUP BY event_user_text, 
                            event_user_id, 
                            event_user_creation_timestamp
                            ) 2nd_month 
ON        ( 
                    1st_month.user_id = 2nd_month.user_id 
          AND       1st_month.user_creation_date = 2nd_month.user_creation_date)
GROUP BY weekofyear(1st_month.user_creation_date)        
'''

df_retention_rate=hive.run(query_retention_rate.format(SNAPSHOT=snapshot,START_YYYY_MM_DD=start_date_YYYY_MM_DD, END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_retention_rate_pre_1_year=hive.run(query_retention_rate.format(SNAPSHOT=snapshot,START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD, END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

df_retention_rate_pre_2_years=hive.run(query_retention_rate.format(SNAPSHOT=snapshot,START_YYYY_MM_DD=last2years_start_date_YYYY_MM_DD, END_YYYY_MM_DD=last2years_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Retention Rate',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('User Cohort (Creation Week)',  fontsize = 16)
ax.set_ylabel('Retention Rate',  fontsize = 16)
ax.plot(df_retention_rate['user_creation_cohort_week'][:-8], df_retention_rate['retention_rate'][:-8], 'o-',label='Year 2021')
ax.plot(df_retention_rate_pre_1_year['user_creation_cohort_week'], df_retention_rate_pre_1_year['retention_rate'], 'o--',label='Year 2020')
ax.plot(df_retention_rate_pre_2_years['user_creation_cohort_week'], df_retention_rate_pre_2_years['retention_rate'], ':',label='Year 2019')

ax.set_xlim(1,52)
ax.set_ylim(0,0.3)
ax.vlines(40, 0, 0.3, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_check_user='''
 SELECT weekofyear(from_unixtime(UNIX_timestamp(cul_timestamp))) AS week_n,
   CASE WHEN cul_type='investigate' THEN 'investigate' ELSE 'checkuser' END AS tool,
   COUNT(cul_id) AS requests
 FROM cu_log WHERE substr(cul_timestamp,1,8)  BETWEEN '{START_YYYYMMDD}' AND '{END_YYYYMMDD}'
 GROUP BY weekofyear(from_unixtime(UNIX_timestamp(cul_timestamp)))
 , CASE WHEN cul_type='investigate' THEN 'investigate' ELSE 'checkuser' END 
 ORDER BY week_n
 LIMIT 10000
'''

df_check_user=mariadb.run(query_check_user.format(START_YYYYMMDD=start_date_YYYYMMDD, END_YYYYMMDD=end_date_YYYYMMDD),'ptwiki')

df_check_user_pre_1_year=mariadb.run(query_check_user.format(START_YYYYMMDD=lastyear_start_date_YYYYMMDD, END_YYYYMMDD=lastyear_end_date_YYYYMMDD),'ptwiki')

df_check_user_pre_2_years=mariadb.run(query_check_user.format(START_YYYYMMDD=last2years_start_date_YYYYMMDD, END_YYYYMMDD=last2years_end_date_YYYYMMDD),'ptwiki')

fig, ax = plt.subplots(nrows=2, ncols=1,figsize=(16,12))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax[0].set_title('Checkuser Requests',fontweight="bold",fontsize = 16,y=1.08)
ax[0].set_xlabel('Week',  fontsize = 16)
ax[0].set_ylabel('Requests',  fontsize = 16)
ax[0].plot(df_check_user[df_check_user['tool']=='checkuser']['week_n'], df_check_user[df_check_user['tool']=='checkuser']['requests'], 'o-',label='Year 2021')
ax[0].plot(df_check_user_pre_1_year[df_check_user_pre_1_year['tool']=='checkuser']['week_n'], df_check_user_pre_1_year[df_check_user_pre_1_year['tool']=='checkuser']['requests'], 'o--',label='Year 2020')
ax[0].plot(df_check_user_pre_2_years[df_check_user_pre_2_years['tool']=='checkuser']['week_n'], df_check_user_pre_2_years[df_check_user_pre_2_years['tool']=='checkuser']['requests'], ':',label='Year 2019')


ax[0].set_xlim(1,52)
ax[0].set_ylim(0,300)
ax[0].vlines(40, 0, 300, colors='k', linestyles='dashdot', label='Turned off')
ax[0].legend(loc='upper right')
ax2 = ax[0].twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')

ax[1].set_title('Special Investigate Requests',fontweight="bold",fontsize = 16,y=1.08)
ax[1].set_xlabel('Week',fontsize = 16)
ax[1].set_ylabel('Requests',fontsize = 16)

ax[1].set_xlim(1,52)
ax[1].set_ylim(0,300)
ax[1].vlines(40, 0, 300, colors='k', linestyles='dashdot', label='Turned off')
ax3=ax[1].twiny()
ax3.set_xlim(0,12)
ax3.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax3.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax3.tick_params(length=0)
#ax3.set_xlabel('Month',fontsize=16)
ax3.xaxis.set_minor_locator(miloc)
ax3.grid(axis='x', which='minor')

ax[1].plot(df_check_user[df_check_user['tool']=='investigate']['week_n'], df_check_user[df_check_user['tool']=='investigate']['requests'], 'o-',label='Year 2021')
ax[1].plot(df_check_user_pre_1_year[df_check_user_pre_1_year['tool']=='investigate']['week_n'], df_check_user_pre_1_year[df_check_user_pre_1_year['tool']=='investigate']['requests'], 'o--',label='Year 2020')
ax[1].plot(df_check_user_pre_2_years[df_check_user_pre_2_years['tool']=='investigate']['week_n'], df_check_user_pre_2_years[df_check_user_pre_2_years['tool']=='investigate']['requests'], ':',label='Year 2019')


ax[1].legend(loc='upper right')
plt.show()

protected_pages_query='''
SELECT weekofyear(from_unixtime(UNIX_timestamp(log_timestamp,'yyyyMMddHHmmss'))) AS week_n , 
COUNT(DISTINCT log_page) AS protected_pages
FROM wmf_raw.mediawiki_logging 
WHERE snapshot ='{SNAPSHOT}' AND wiki_db='ptwiki' 
AND log_action = 'protect'  
AND substr(log_timestamp,1,8) BETWEEN '{START_YYYYMMDD}' AND '{END_YYYYMMDD}'
GROUP BY weekofyear(from_unixtime(UNIX_timestamp(log_timestamp,'yyyyMMddHHmmss'))) 
ORDER BY week_n
LIMIT 100000
'''

df_protected_pages=hive.run(protected_pages_query.format(SNAPSHOT=snapshot, START_YYYYMMDD=start_date_YYYYMMDD, END_YYYYMMDD=end_date_YYYYMMDD))

df_protected_pages_pre_1_year=hive.run(protected_pages_query.format(SNAPSHOT=snapshot, START_YYYYMMDD=lastyear_start_date_YYYYMMDD, END_YYYYMMDD=lastyear_end_date_YYYYMMDD))

df_protected_pages_pre_2_years=hive.run(protected_pages_query.format(SNAPSHOT=snapshot, START_YYYYMMDD=last2years_start_date_YYYYMMDD, END_YYYYMMDD=last2years_end_date_YYYYMMDD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki Protected Pages',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Protected Pages',  fontsize = 16)
ax.plot(df_protected_pages['week_n'][:-1], df_protected_pages['protected_pages'][:-1], 'o-',label='Year 2021')
ax.plot(df_protected_pages_pre_1_year['week_n'], df_protected_pages_pre_1_year['protected_pages'], 'o--',label='Year 2020')
ax.plot(df_protected_pages_pre_2_years['week_n'], df_protected_pages_pre_2_years['protected_pages'], ':',label='Year 2019')

ax.set_xlim(1,52)
ax.set_ylim(0,600)
ax.vlines(40, 0, 600, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_edits_quality_damaging_model='''
SELECT WEEKOFYEAR(rev_timestamp) AS week_n, 
ROUND(SUM(case when scores["damaging"].prediction[0]='true' then 1 else 0 end)/count(rev_id) ,4) AS damaging_rate
FROM event_sanitized.mediawiki_revision_score
WHERE year='{YEAR}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp < '{END_YYYY_MM_DD}') 
AND `database`='ptwiki'
GROUP BY WEEKOFYEAR(rev_timestamp)
ORDER BY week_n
LIMIT 10000
'''

df_edits_quality_damaging_rate=hive.run(query_edits_quality_damaging_model.format(YEAR=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD , END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_edits_quality_damaging_rate_pre_1_year=hive.run(query_edits_quality_damaging_model.format(YEAR=pre_yr, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD , END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki ORES Damaging Rate (Including IP Editors)',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Damages/Edits Rate',  fontsize = 16)
ax.plot(df_edits_quality_damaging_rate['week_n'], df_edits_quality_damaging_rate['damaging_rate'], 'o-',label='Year 2021')
ax.plot(df_edits_quality_damaging_rate_pre_1_year['week_n'], df_edits_quality_damaging_rate_pre_1_year['damaging_rate'], 'o--',label='Year 2020')

ax.set_xlim(1,52)
ax.set_ylim(0,0.3)
ax.legend(loc='upper right')
ax.vlines(40, 0, 0.3, colors='k', linestyles='dashdot', label='Turned off')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

query_edits_quality_damaging_model_nonbot_registered_user='''
SELECT WEEKOFYEAR(rev_timestamp) AS week_n, 
ROUND(SUM(case when scores["damaging"].prediction[0]='true' then 1 else 0 end)/count(rev_id) ,4) AS damaging_rate
FROM event_sanitized.mediawiki_revision_score
WHERE year='{YEAR}' AND  (rev_timestamp >= '{START_YYYY_MM_DD}' AND rev_timestamp <= '{END_YYYY_MM_DD}') 
AND `database`='ptwiki' 
-- exclude IP editors in baseline as ORES is biased against anonymous editors
AND performer.user_id IS NOT NULL
-- exclude bot editors
AND not performer.user_is_bot
AND performer.user_text not regexp "^.*bot([^a-z].*$|$)"
GROUP BY WEEKOFYEAR(rev_timestamp)
ORDER BY week_n
LIMIT 10000
'''

df_edits_quality_damaging_rate_nonbot_registered_user=hive.run(query_edits_quality_damaging_model_nonbot_registered_user.format(YEAR=yr, START_YYYY_MM_DD=start_date_YYYY_MM_DD , END_YYYY_MM_DD=end_date_YYYY_MM_DD))

df_edits_quality_damaging_rate_nonbot_registered_user_pre_1_year=hive.run(query_edits_quality_damaging_model_nonbot_registered_user.format(YEAR=pre_yr, START_YYYY_MM_DD=lastyear_start_date_YYYY_MM_DD , END_YYYY_MM_DD=lastyear_end_date_YYYY_MM_DD))

fig, ax = plt.subplots(nrows=1, ncols=1,figsize=(16,6))
fig.tight_layout(pad=1.08, w_pad=0.5, h_pad=6)
ax.set_title('Ptwiki ORES Damaging Rate (Registered Non-bot Editors)',fontweight="bold",fontsize = 16,y=1.08)
ax.set_xlabel('Week',  fontsize = 16)
ax.set_ylabel('Damages/Edits Rate',  fontsize = 16)
ax.plot(df_edits_quality_damaging_rate_nonbot_registered_user['week_n'], df_edits_quality_damaging_rate_nonbot_registered_user['damaging_rate'], 'o-',label='Year 2021')
ax.plot(df_edits_quality_damaging_rate_nonbot_registered_user_pre_1_year['week_n'], df_edits_quality_damaging_rate_nonbot_registered_user_pre_1_year['damaging_rate'], 'o--',label='Year 2020')

ax.set_xlim(1,52)
ax.set_ylim(0,0.15)
ax.vlines(40, 0, 0.15, colors='k', linestyles='dashdot', label='Turned off')
ax.legend(loc='upper right')
ax2 = ax.twiny()  # instantiate a second axes that shares the same x-axis
ax2.set_xlim(0,12)
ax2.set_xticklabels(['Jan','Feb','Mar','Apr','May','Jun','Jul','Aug','Sep','Oct','Nov','Dec'])
ax2.set_xticks([0.5,1.5,2.5,3.5,4.5,5.5,6.5,7.5,8.5,9.5,10.5,11.5])
ax2.tick_params(length=0)
ax2.set_xlabel('Month',fontsize=16)

miloc = plt.MultipleLocator(1)

ax2.xaxis.set_minor_locator(miloc)
ax2.grid(axis='x', which='minor')
plt.show()

print("This dashboard was generated on {} at {}. It is maintained by Jennifer Wang, Product Analytics. If you have questions or feedback please email jwang@wikimedia.org or product-analytics@wikimedia.org.".format(today.strftime("%Y-%m-%d"), now.strftime("%H:%M %Z")))
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