]> de.git.xonotic.org Git - xonotic/xonstat.git/blobdiff - xonstat/views/main.py
Add a view to show the most active players.
[xonotic/xonstat.git] / xonstat / views / main.py
old mode 100755 (executable)
new mode 100644 (file)
index 811a1a6..465b747
 import logging
 import sqlalchemy.sql.functions as func
+import sqlalchemy.sql.expression as expr
+from beaker.cache import cache_regions, cache_region
+from collections import namedtuple
+from datetime import datetime, timedelta
 from pyramid.response import Response
 from xonstat.models import *
+from xonstat.util import *
+from xonstat.views.helpers import RecentGame, recent_games_q
+from webhelpers.paginate import Page
+
 
 log = logging.getLogger(__name__)
 
-def main_index(request):
-    # top players by score
-    top_players = DBSession.query(Player.player_id, Player.nick, 
-            func.sum(PlayerGameStat.score)).\
+
+@cache_region('hourly_term')
+def get_summary_stats():
+    """
+    Gets the following aggregate or "summary" statistics about stats:
+        - the total number of players (total_players)
+        - the total number of servers (total_servers)
+        - the total number of games (total_games)
+        - the total number of dm games (dm_games)
+        - the total number of duel games (duel_games)
+        - the total number of ctf games (ctf_games)
+
+    It is worth noting that there is also a table built to house these
+    stats in case the query in this function becomes too long for the
+    one time it runs per hour. In that case there is a script in the
+    xonstatdb repo - update_summary_stats.sql - that can be used via
+    cron to update the data offline.
+    """
+    summary_stats = DBSession.query("total_players", "total_servers",
+            "total_games", "dm_games", "duel_games", "ctf_games").\
+        from_statement(
+        """
+        with total_games as (
+            select game_type_cd, count(*) total_games
+            from games
+            where game_type_cd in ('duel', 'dm', 'ctf')
+            group by game_type_cd
+        ),
+        total_players as (
+            select count(*) total_players
+            from players
+            where active_ind = true
+        ),
+        total_servers as (
+            select count(*) total_servers
+            from servers
+            where active_ind = true
+        )
+        select tp.total_players, ts.total_servers, dm.total_games+
+               duel.total_games+ctf.total_games total_games,
+               dm.total_games dm_games, duel.total_games duel_games,
+               ctf.total_games ctf_games
+        from   total_games dm, total_games duel, total_games ctf,
+               total_players tp, total_servers ts
+        where  dm.game_type_cd = 'dm'
+        and    ctf.game_type_cd = 'ctf'
+        and    duel.game_type_cd = 'duel'
+        """
+        ).one()
+
+    return summary_stats
+
+
+@cache_region('hourly_term')
+def get_ranks(game_type_cd):
+    """
+    Gets a set number of the top-ranked people for the specified game_type_cd.
+
+    The game_type_cd parameter is the type to fetch. Currently limited to
+    duel, dm, ctf, and tdm.
+    """
+    # how many ranks we want to fetch
+    leaderboard_count = 10
+
+    # only a few game modes are actually ranked
+    if game_type_cd not in 'duel' 'dm' 'ctf' 'tdm':
+        return None
+
+    ranks = DBSession.query(PlayerRank).\
+            filter(PlayerRank.game_type_cd==game_type_cd).\
+            order_by(PlayerRank.rank).\
+            limit(leaderboard_count).all()
+
+    return ranks
+
+
+def top_players_by_time_q(cutoff_days):
+    """
+    Query for the top players by the amount of time played during a date range.
+
+    Games older than cutoff_days days old are ignored.
+    """
+
+    # only games played during this range are considered
+    right_now = datetime.utcnow()
+    cutoff_dt = right_now - timedelta(days=cutoff_days)
+
+    top_players_q = DBSession.query(Player.player_id, Player.nick,
+            func.sum(PlayerGameStat.alivetime)).\
             filter(Player.player_id == PlayerGameStat.player_id).\
             filter(Player.player_id > 2).\
-            order_by(func.sum(PlayerGameStat.score)).\
+            filter(expr.between(PlayerGameStat.create_dt, cutoff_dt, right_now)).\
+            order_by(expr.desc(func.sum(PlayerGameStat.alivetime))).\
             group_by(Player.nick).\
-            group_by(Player.player_id).all()[0:10]
+            group_by(Player.player_id)
 
-    # top servers by number of total players played
-    top_servers = DBSession.query(Server.server_id, Server.name, 
+    return top_players_q
+
+
+@cache_region('hourly_term')
+def get_top_players_by_time(cutoff_days):
+    """
+    The top players by the amount of time played during a date range.
+
+    Games older than cutoff_days days old are ignored.
+    """
+    # how many to retrieve
+    count = 10
+
+    # only games played during this range are considered
+    right_now = datetime.utcnow()
+    cutoff_dt = right_now - timedelta(days=cutoff_days)
+
+    top_players_q = top_players_by_time_q(cutoff_days)
+
+    top_players = top_players_q.limit(count).all()
+
+    top_players = [(player_id, html_colors(nick), score) \
+            for (player_id, nick, score) in top_players]
+
+    return top_players
+
+
+@cache_region('hourly_term')
+def top_servers_by_players(cutoff_days):
+    """
+    The top servers by the amount of players active during a date range.
+
+    Games older than cutoff_days days old are ignored.
+    """
+    # how many to retrieve
+    count = 10
+
+    # only games played during this range are considered
+    right_now = datetime.utcnow()
+    cutoff_dt = right_now - timedelta(days=cutoff_days)
+
+    top_servers = DBSession.query(Server.server_id, Server.name,
+        func.count()).\
+        filter(Game.server_id==Server.server_id).\
+        filter(expr.between(Game.create_dt, cutoff_dt, right_now)).\
+        order_by(expr.desc(func.count(Game.game_id))).\
+        group_by(Server.server_id).\
+        group_by(Server.name).limit(count).all()
+
+    return top_servers
+
+
+@cache_region('hourly_term')
+def top_maps_by_times_played(cutoff_days):
+    """
+    The top maps by the amount of times it was played during a date range.
+
+    Games older than cutoff_days days old are ignored.
+    """
+    # how many to retrieve
+    count = 10
+
+    # only games played during this range are considered
+    right_now = datetime.utcnow()
+    cutoff_dt = right_now - timedelta(days=cutoff_days)
+
+    top_maps = DBSession.query(Game.map_id, Map.name,
             func.count()).\
-            filter(Game.server_id==Server.server_id).\
-            order_by(func.count(Game.game_id)).\
-            group_by(Server.server_id).\
-            group_by(Server.name).all()[0:10]
+            filter(Map.map_id==Game.map_id).\
+            filter(expr.between(Game.create_dt, cutoff_dt, right_now)).\
+            order_by(expr.desc(func.count())).\
+            group_by(Game.map_id).\
+            group_by(Map.name).limit(count).all()
+
+    return top_maps
+
+
+def _main_index_data(request):
+    try:
+        leaderboard_lifetime = int(
+                request.registry.settings['xonstat.leaderboard_lifetime'])
+    except:
+        leaderboard_lifetime = 30
+
+    leaderboard_count = 10
+    recent_games_count = 20
+
+    # summary statistics for the tagline
+    try:
+        summary_stats = get_summary_stats()
+    except:
+        summary_stats = None
+
+    # the three top ranks tables
+    ranks = []
+    for gtc in ['duel', 'ctf', 'dm', 'tdm']:
+        rank = get_ranks(gtc)
+        if len(rank) != 0:
+            ranks.append(rank)
+
+    right_now = datetime.utcnow()
+    back_then = datetime.utcnow() - timedelta(days=leaderboard_lifetime)
+
+    # top players by playing time
+    top_players = get_top_players_by_time(leaderboard_lifetime)
+
+    # top servers by number of total players played
+    top_servers = top_servers_by_players(leaderboard_lifetime)
 
     # top maps by total times played
-    top_maps = DBSession.query(Map.map_id, Map.name, 
-            func.count(Game.game_id)).\
-            filter(Map.map_id==Game.game_id).\
-            order_by(func.count(Game.game_id)).\
-            group_by(Map.map_id).\
-            group_by(Map.name).all()[0:10]
+    top_maps = top_maps_by_times_played(leaderboard_lifetime)
+
+    # recent games played in descending order
+    rgs = recent_games_q(cutoff=back_then).limit(recent_games_count).all()
+    recent_games = [RecentGame(row) for row in rgs]
 
     return {'top_players':top_players,
             'top_servers':top_servers,
             'top_maps':top_maps,
+            'recent_games':recent_games,
+            'ranks':ranks,
+            'summary_stats':summary_stats,
             }
+
+
+def main_index(request):
+    """
+    Display the main page information.
+    """
+    mainindex_data =  _main_index_data(request)
+
+    # FIXME: code clone, should get these from _main_index_data
+    leaderboard_count = 10
+    recent_games_count = 20
+
+    for i in range(leaderboard_count-len(mainindex_data['top_players'])):
+        mainindex_data['top_players'].append(('-', '-', '-'))
+
+    for i in range(leaderboard_count-len(mainindex_data['top_servers'])):
+        mainindex_data['top_servers'].append(('-', '-', '-'))
+
+    for i in range(leaderboard_count-len(mainindex_data['top_maps'])):
+        mainindex_data['top_maps'].append(('-', '-', '-'))
+
+    return mainindex_data
+
+
+def main_index_json(request):
+    """
+    JSON output of the main page information.
+    """
+    return [{'status':'not implemented'}]
+
+
+def top_players_by_time(request):
+    current_page = request.params.get('page', 1)
+
+    cutoff_days = int(request.registry.settings.\
+        get('xonstat.leaderboard_lifetime', 30))
+
+    top_players_q = top_players_by_time_q(cutoff_days)
+
+    top_players = Page(top_players_q, current_page, items_per_page=25, url=page_url)
+
+    top_players.items = [(player_id, html_colors(nick), score) \
+            for (player_id, nick, score) in top_players.items]
+
+    return {'top_players':top_players}