forked from MarseyWorld/MarseyWorld
131 lines
6.0 KiB
Python
131 lines
6.0 KiB
Python
from flask import g
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import time
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import calendar
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import matplotlib.pyplot as plt
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from sqlalchemy.sql import func, or_
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from files.classes.user import User
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from files.classes.post import Post
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from files.classes.comment import Comment
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from files.classes.votes import Vote, CommentVote
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from files.classes.emoji import *
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from files.classes.award import AwardRelationship
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from files.helpers.config.const import *
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def generate_charts_task(site):
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chart(kind='daily', site=site)
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chart(kind='weekly', site=site)
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def chart(kind, site):
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now = time.gmtime()
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midnight_this_morning = time.struct_time((
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now.tm_year, now.tm_mon, now.tm_mday,
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0, 0, 0,
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now.tm_wday, now.tm_yday, 0))
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today_cutoff = calendar.timegm(midnight_this_morning)
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num_of_weeks = 30
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chart_width = int(num_of_weeks/0.7)
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if kind == 'daily':
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day_cutoffs = [today_cutoff - 86400 * i for i in range(num_of_weeks)][1:]
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else:
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day_cutoffs = [today_cutoff - 86400 * 7 * i for i in range(num_of_weeks)][1:]
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day_cutoffs.insert(0, calendar.timegm(now))
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daily_times = [time.strftime('%Y-%m-%d', time.gmtime(day_cutoffs[i + 1]))
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for i in range(len(day_cutoffs) - 1)][::-1]
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daily_signups = [g.db.query(User).filter(
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User.created_utc < day_cutoffs[i],
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User.created_utc > day_cutoffs[i + 1]).count()
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for i in range(len(day_cutoffs) - 1)][::-1]
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post_stats = [g.db.query(Post).filter(
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Post.created_utc < day_cutoffs[i],
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Post.created_utc > day_cutoffs[i + 1],
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Post.is_banned == False).count()
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for i in range(len(day_cutoffs) - 1)][::-1]
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comment_stats = [g.db.query(Comment).filter(
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Comment.created_utc < day_cutoffs[i],
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Comment.created_utc > day_cutoffs[i + 1],
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Comment.is_banned == False,
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Comment.author_id != AUTOJANNY_ID).count()
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for i in range(len(day_cutoffs) - 1)][::-1]
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plt.rcParams['figure.figsize'] = (chart_width, chart_width)
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signup_chart = plt.subplot2grid((chart_width, chart_width), (0, 0), rowspan=6, colspan=chart_width)
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posts_chart = plt.subplot2grid((chart_width, chart_width), (10, 0), rowspan=6, colspan=chart_width)
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comments_chart = plt.subplot2grid((chart_width, chart_width), (20, 0), rowspan=6, colspan=chart_width)
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signup_chart.grid(), posts_chart.grid(), comments_chart.grid()
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signup_chart.plot(daily_times, daily_signups, color='red')
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posts_chart.plot(daily_times, post_stats, color='blue')
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comments_chart.plot(daily_times, comment_stats, color='purple')
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signup_chart.set_ylim(ymin=0)
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posts_chart.set_ylim(ymin=0)
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comments_chart.set_ylim(ymin=0)
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signup_chart.set_xlabel("Signups", labelpad=10.0, size=30)
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posts_chart.set_xlabel("Posts", labelpad=10.0, size=30)
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comments_chart.set_xlabel("Comments", labelpad=10.0, size=30)
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file = chart_path(kind, site)
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plt.savefig(file, bbox_inches='tight')
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plt.clf()
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return file
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def chart_path(kind, site):
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return f'/{site}_{kind}.png'
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def stats():
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now = time.time()
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day = int(now) - 86400
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week = int(now) - 604800
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stats = {
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"Time these stats were collected": int(time.time()),
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"Marseys": "{:,}".format(g.db.query(Emoji).filter(Emoji.kind=="Marsey", Emoji.submitter_id==None).count()),
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"Total emojis": "{:,}".format(g.db.query(Emoji).filter(Emoji.submitter_id==None).count()),
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"Users": "{:,}".format(g.db.query(User).count()),
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"Banned users": "{:,}".format(g.db.query(User).filter(User.is_banned != None).count()),
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"Users with a private profile": "{:,}".format(g.db.query(User).filter_by(is_private=True).count()),
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"Users with a verified email": "{:,}".format(g.db.query(User).filter_by(email_verified=True).count()),
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"Coins in circulation": "{:,}".format(g.db.query(func.sum(User.coins)).scalar()),
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"Total award sales": "{:,}".format(g.db.query(func.sum(User.coins_spent)).scalar()),
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"Total hat sales": "{:,}".format(g.db.query(func.sum(User.coins_spent_on_hats)).scalar()),
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"Signups last 24h": "{:,}".format(g.db.query(User).filter(User.created_utc > day).count()),
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"Total posts": "{:,}".format(g.db.query(Post).count()),
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"Posting users": "{:,}".format(g.db.query(Post.author_id).distinct().count()),
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"Listed posts": "{:,}".format(g.db.query(Post).filter_by(is_banned=False, deleted_utc=0).count()),
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"Removed posts (by admins)": "{:,}".format(g.db.query(Post).filter_by(is_banned=True).count()),
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"Deleted posts (by author)": "{:,}".format(g.db.query(Post).filter(Post.deleted_utc > 0).count()),
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"Posts last 24h": "{:,}".format(g.db.query(Post).filter(Post.created_utc > day).count()),
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"Total comments": "{:,}".format(g.db.query(Comment).filter(Comment.author_id != AUTOJANNY_ID).count()),
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"Commenting users": "{:,}".format(g.db.query(Comment.author_id).distinct().count()),
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"Removed comments (by admins)": "{:,}".format(g.db.query(Comment).filter_by(is_banned=True).count()),
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"Deleted comments (by author)": "{:,}".format(g.db.query(Comment).filter(Comment.deleted_utc > 0).count()),
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"Comments last 24h": "{:,}".format(g.db.query(Comment).filter(Comment.created_utc > day, Comment.author_id != AUTOJANNY_ID).count()),
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"Post votes": "{:,}".format(g.db.query(Vote).count()),
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"Comment votes": "{:,}".format(g.db.query(CommentVote).count()),
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"Total upvotes": "{:,}".format(g.db.query(Vote).filter_by(vote_type=1).count() + g.db.query(CommentVote).filter_by(vote_type=1).count()),
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"Total downvotes": "{:,}".format(g.db.query(Vote).filter_by(vote_type=-1).count() + g.db.query(CommentVote).filter_by(vote_type=-1).count()),
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"Total awards": "{:,}".format(g.db.query(AwardRelationship).count()),
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"Awards given": "{:,}".format(g.db.query(AwardRelationship).filter(or_(AwardRelationship.post_id != None, AwardRelationship.comment_id != None)).count()),
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"Users who posted, commented, or voted in the past 7 days": "{:,}".format(g.db.query(User).filter(User.last_active > week).count()),
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}
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if FEATURES['HOUSES']:
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for house in HOUSES:
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stats[f"House {house} members"] = "{:,}".format(g.db.query(User).filter(User.house.like(f'{house}%')).count())
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for house in HOUSES:
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stats[f"House {house} total truescore"] = "{:,}".format(g.db.query(func.sum(User.truescore)).filter(User.house.like(f'{house}%')).scalar() or 0)
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return stats
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