246 lines
8.9 KiB
Python
246 lines
8.9 KiB
Python
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from web.database import query_db
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class StatsService:
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@staticmethod
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def get_recent_matches(limit=5):
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sql = """
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SELECT m.match_id, m.start_time, m.map_name, m.score_team1, m.score_team2, m.winner_team,
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p.username as mvp_name
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FROM fact_matches m
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LEFT JOIN dim_players p ON m.mvp_uid = p.uid
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ORDER BY m.start_time DESC
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LIMIT ?
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"""
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return query_db('l2', sql, [limit])
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@staticmethod
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def get_matches(page=1, per_page=20, map_name=None, date_from=None, date_to=None):
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offset = (page - 1) * per_page
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args = []
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where_clauses = ["1=1"]
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if map_name:
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where_clauses.append("map_name = ?")
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args.append(map_name)
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if date_from:
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where_clauses.append("start_time >= ?")
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args.append(date_from)
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if date_to:
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where_clauses.append("start_time <= ?")
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args.append(date_to)
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where_str = " AND ".join(where_clauses)
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sql = f"""
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SELECT m.match_id, m.start_time, m.map_name, m.score_team1, m.score_team2, m.winner_team, m.duration
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FROM fact_matches m
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WHERE {where_str}
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ORDER BY m.start_time DESC
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LIMIT ? OFFSET ?
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"""
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args.extend([per_page, offset])
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matches = query_db('l2', sql, args)
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# Count total for pagination
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count_sql = f"SELECT COUNT(*) as cnt FROM fact_matches WHERE {where_str}"
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total = query_db('l2', count_sql, args[:-2], one=True)['cnt']
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return matches, total
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@staticmethod
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def get_match_detail(match_id):
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sql = "SELECT * FROM fact_matches WHERE match_id = ?"
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return query_db('l2', sql, [match_id], one=True)
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@staticmethod
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def get_match_players(match_id):
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sql = """
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SELECT mp.*, p.username, p.avatar_url
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FROM fact_match_players mp
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LEFT JOIN dim_players p ON mp.steam_id_64 = p.steam_id_64
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WHERE mp.match_id = ?
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ORDER BY mp.team_id, mp.rating DESC
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"""
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return query_db('l2', sql, [match_id])
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@staticmethod
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def get_match_rounds(match_id):
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sql = "SELECT * FROM fact_rounds WHERE match_id = ? ORDER BY round_num"
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return query_db('l2', sql, [match_id])
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@staticmethod
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def get_players(page=1, per_page=20, search=None, sort_by='rating_desc'):
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offset = (page - 1) * per_page
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args = []
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where_clauses = ["1=1"]
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if search:
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# Force case-insensitive search
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where_clauses.append("(LOWER(username) LIKE LOWER(?) OR steam_id_64 LIKE ?)")
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args.append(f"%{search}%")
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args.append(f"%{search}%")
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where_str = " AND ".join(where_clauses)
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# Sort mapping
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order_clause = "rating DESC" # Default logic (this query needs refinement as L2 dim_players doesn't store avg rating)
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# Wait, dim_players only has static info. We need aggregated stats.
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# Ideally, we should fetch from L3 for player list stats.
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# But StatsService is for L2.
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# For the Player List, we usually want L3 data (Career stats).
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# I will leave the detailed stats logic for FeatureService or do a join here if necessary.
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# For now, just listing players from dim_players.
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sql = f"""
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SELECT * FROM dim_players
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WHERE {where_str}
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LIMIT ? OFFSET ?
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"""
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args.extend([per_page, offset])
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players = query_db('l2', sql, args)
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total = query_db('l2', f"SELECT COUNT(*) as cnt FROM dim_players WHERE {where_str}", args[:-2], one=True)['cnt']
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return players, total
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@staticmethod
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def get_player_info(steam_id):
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sql = "SELECT * FROM dim_players WHERE steam_id_64 = ?"
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return query_db('l2', sql, [steam_id], one=True)
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@staticmethod
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def get_daily_match_counts(days=365):
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# Return list of {date: 'YYYY-MM-DD', count: N}
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sql = """
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SELECT date(start_time, 'unixepoch') as day, COUNT(*) as count
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FROM fact_matches
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WHERE start_time > strftime('%s', 'now', ?)
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GROUP BY day
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ORDER BY day
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"""
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# sqlite modifier for 'now' needs format like '-365 days'
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modifier = f'-{days} days'
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rows = query_db('l2', sql, [modifier])
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return rows
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@staticmethod
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def get_players_by_ids(steam_ids):
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if not steam_ids:
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return []
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placeholders = ','.join('?' for _ in steam_ids)
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sql = f"SELECT * FROM dim_players WHERE steam_id_64 IN ({placeholders})"
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return query_db('l2', sql, steam_ids)
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@staticmethod
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def get_player_basic_stats(steam_id):
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# Calculate stats from fact_match_players
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# Prefer calculating from sums (kills/deaths) for K/D accuracy
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# AVG(adr) is used as damage_total might be missing in some sources
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sql = """
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SELECT
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AVG(rating) as rating,
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SUM(kills) as total_kills,
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SUM(deaths) as total_deaths,
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AVG(kd_ratio) as avg_kd,
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AVG(kast) as kast,
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AVG(adr) as adr,
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COUNT(*) as matches_played
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FROM fact_match_players
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WHERE steam_id_64 = ?
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"""
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row = query_db('l2', sql, [steam_id], one=True)
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if row and row['matches_played'] > 0:
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res = dict(row)
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# Calculate K/D: Sum Kills / Sum Deaths
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kills = res.get('total_kills') or 0
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deaths = res.get('total_deaths') or 0
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if deaths > 0:
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res['kd'] = kills / deaths
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else:
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res['kd'] = kills # If 0 deaths, K/D is kills (or infinity, but kills is safer for display)
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# Fallback to avg_kd if calculation failed (e.g. both 0) but avg_kd exists
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if res['kd'] == 0 and res['avg_kd'] and res['avg_kd'] > 0:
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res['kd'] = res['avg_kd']
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# ADR validation
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if res['adr'] is None:
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res['adr'] = 0.0
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return res
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return None
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@staticmethod
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def get_shared_matches(steam_ids):
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# Find matches where ALL steam_ids were present in the SAME team (or just present?)
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# "共同经历" usually means played together.
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# Query: Intersect match_ids for each player.
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# SQLite doesn't have INTERSECT ALL easily for dynamic list, but we can group by match_id.
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if not steam_ids or len(steam_ids) < 2:
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return []
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placeholders = ','.join('?' for _ in steam_ids)
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count = len(steam_ids)
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sql = f"""
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SELECT m.match_id, m.start_time, m.map_name, m.score_team1, m.score_team2, m.winner_team
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FROM fact_matches m
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JOIN fact_match_players mp ON m.match_id = mp.match_id
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WHERE mp.steam_id_64 IN ({placeholders})
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GROUP BY m.match_id
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HAVING COUNT(DISTINCT mp.steam_id_64) = ?
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ORDER BY m.start_time DESC
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LIMIT 20
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"""
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args = list(steam_ids)
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args.append(count)
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return query_db('l2', sql, args)
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@staticmethod
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def get_player_trend(steam_id, limit=20):
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sql = """
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SELECT m.start_time, mp.rating, mp.kd_ratio, mp.adr, m.match_id, m.map_name
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FROM fact_match_players mp
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JOIN fact_matches m ON mp.match_id = m.match_id
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WHERE mp.steam_id_64 = ?
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ORDER BY m.start_time ASC
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"""
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# We fetch all then slice last 'limit' in python or use subquery.
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# DESC LIMIT gets recent, but we want chronological for chart.
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# So: SELECT ... ORDER BY time DESC LIMIT ? -> then reverse in code.
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sql = """
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SELECT * FROM (
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SELECT m.start_time, mp.rating, mp.kd_ratio, mp.adr, m.match_id, m.map_name, mp.is_win
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FROM fact_match_players mp
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JOIN fact_matches m ON mp.match_id = m.match_id
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WHERE mp.steam_id_64 = ?
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ORDER BY m.start_time DESC
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LIMIT ?
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) ORDER BY start_time ASC
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"""
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return query_db('l2', sql, [steam_id, limit])
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@staticmethod
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def get_live_matches():
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# Query matches started in last 2 hours with no winner
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# Assuming we have a way to ingest live matches.
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# For now, this query is 'formal' but will likely return empty on static dataset.
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sql = """
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SELECT m.match_id, m.map_name, m.score_team1, m.score_team2, m.start_time
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FROM fact_matches m
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WHERE m.winner_team IS NULL
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AND m.start_time > strftime('%s', 'now', '-2 hours')
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"""
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return query_db('l2', sql)
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