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Fix combined search filter semantics across player season joins

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This commit is contained in:
Alfredo Di Stasio
2026-03-10 15:47:01 +01:00
parent a1ae380fd5
commit 92c804a474
5 changed files with 314 additions and 60 deletions
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182
apps/players/services/search.py
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@ -3,11 +3,13 @@ from datetime import date, timedelta
from django.db.models import (
Case,
DecimalField,
Exists,
ExpressionWrapper,
F,
FloatField,
IntegerField,
Max,
OuterRef,
Q,
Value,
When,
@ -15,6 +17,7 @@ from django.db.models import (
from django.db.models.functions import Coalesce
from apps.players.models import Player
from apps.stats.models import PlayerSeason
METRIC_SORT_KEYS = {"ppg_desc", "ppg_asc", "mpg_desc", "mpg_asc"}
@ -31,15 +34,15 @@ def _years_ago_today(years: int) -> date:
def _apply_min_max_filter(queryset, min_key: str, max_key: str, field_name: str, data: dict):
min_value = data.get(min_key)
max_value = data.get(max_key)
if min_value is not None:
if min_value not in (None, ""):
queryset = queryset.filter(**{f"{field_name}__gte": min_value})
if max_value is not None:
if max_value not in (None, ""):
queryset = queryset.filter(**{f"{field_name}__lte": max_value})
return queryset
def _needs_distinct(data: dict) -> bool:
join_filter_keys = (
def _season_scope_filter_keys() -> tuple[str, ...]:
return (
"q",
"team",
"competition",
@ -69,7 +72,105 @@ def _needs_distinct(data: dict) -> bool:
"efficiency_metric_min",
"efficiency_metric_max",
)
return any(data.get(key) not in (None, "") for key in join_filter_keys)
def _has_season_scope_filters(data: dict) -> bool:
return any(data.get(key) not in (None, "") for key in _season_scope_filter_keys() if key != "q")
def _apply_mpg_filter(queryset, *, games_field: str, minutes_field: str, min_value, max_value):
if min_value not in (None, ""):
queryset = queryset.filter(**{f"{games_field}__gt": 0}).filter(
**{f"{minutes_field}__gte": F(games_field) * min_value}
)
if max_value not in (None, ""):
queryset = queryset.filter(**{f"{games_field}__gt": 0}).filter(
**{f"{minutes_field}__lte": F(games_field) * max_value}
)
return queryset
def _apply_player_season_scope_filters(queryset, data: dict):
if data.get("team"):
queryset = queryset.filter(team=data["team"])
if data.get("competition"):
queryset = queryset.filter(competition=data["competition"])
if data.get("season"):
queryset = queryset.filter(season=data["season"])
queryset = _apply_min_max_filter(queryset, "games_played_min", "games_played_max", "games_played", data)
queryset = _apply_mpg_filter(
queryset,
games_field="games_played",
minutes_field="minutes_played",
min_value=data.get("minutes_per_game_min"),
max_value=data.get("minutes_per_game_max"),
)
stat_pairs = (
("points_per_game_min", "points_per_game_max", "stats__points"),
("rebounds_per_game_min", "rebounds_per_game_max", "stats__rebounds"),
("assists_per_game_min", "assists_per_game_max", "stats__assists"),
("steals_per_game_min", "steals_per_game_max", "stats__steals"),
("blocks_per_game_min", "blocks_per_game_max", "stats__blocks"),
("turnovers_per_game_min", "turnovers_per_game_max", "stats__turnovers"),
("fg_pct_min", "fg_pct_max", "stats__fg_pct"),
("three_pct_min", "three_pct_max", "stats__three_pct"),
("ft_pct_min", "ft_pct_max", "stats__ft_pct"),
("efficiency_metric_min", "efficiency_metric_max", "stats__player_efficiency_rating"),
)
for min_key, max_key, field_name in stat_pairs:
queryset = _apply_min_max_filter(queryset, min_key, max_key, field_name, data)
return queryset
def _build_metric_context_filter(data: dict) -> Q:
context_filter = Q()
if data.get("team"):
context_filter &= Q(player_seasons__team=data["team"])
if data.get("competition"):
context_filter &= Q(player_seasons__competition=data["competition"])
if data.get("season"):
context_filter &= Q(player_seasons__season=data["season"])
minmax_pairs = (
("games_played_min", "games_played_max", "player_seasons__games_played"),
("points_per_game_min", "points_per_game_max", "player_seasons__stats__points"),
("rebounds_per_game_min", "rebounds_per_game_max", "player_seasons__stats__rebounds"),
("assists_per_game_min", "assists_per_game_max", "player_seasons__stats__assists"),
("steals_per_game_min", "steals_per_game_max", "player_seasons__stats__steals"),
("blocks_per_game_min", "blocks_per_game_max", "player_seasons__stats__blocks"),
("turnovers_per_game_min", "turnovers_per_game_max", "player_seasons__stats__turnovers"),
("fg_pct_min", "fg_pct_max", "player_seasons__stats__fg_pct"),
("three_pct_min", "three_pct_max", "player_seasons__stats__three_pct"),
("ft_pct_min", "ft_pct_max", "player_seasons__stats__ft_pct"),
(
"efficiency_metric_min",
"efficiency_metric_max",
"player_seasons__stats__player_efficiency_rating",
),
)
for min_key, max_key, field_name in minmax_pairs:
min_value = data.get(min_key)
max_value = data.get(max_key)
if min_value not in (None, ""):
context_filter &= Q(**{f"{field_name}__gte": min_value})
if max_value not in (None, ""):
context_filter &= Q(**{f"{field_name}__lte": max_value})
mpg_min = data.get("minutes_per_game_min")
mpg_max = data.get("minutes_per_game_max")
if mpg_min not in (None, ""):
context_filter &= Q(player_seasons__games_played__gt=0) & Q(
player_seasons__minutes_played__gte=F("player_seasons__games_played") * mpg_min
)
if mpg_max not in (None, ""):
context_filter &= Q(player_seasons__games_played__gt=0) & Q(
player_seasons__minutes_played__lte=F("player_seasons__games_played") * mpg_max
)
return context_filter
def filter_players(queryset, data: dict):
@ -88,13 +189,6 @@ def filter_players(queryset, data: dict):
if data.get("origin_team"):
queryset = queryset.filter(origin_team=data["origin_team"])
if data.get("team"):
queryset = queryset.filter(player_seasons__team=data["team"])
if data.get("competition"):
queryset = queryset.filter(player_seasons__competition=data["competition"])
if data.get("season"):
queryset = queryset.filter(player_seasons__season=data["season"])
queryset = _apply_min_max_filter(queryset, "height_min", "height_max", "height_cm", data)
queryset = _apply_min_max_filter(queryset, "weight_min", "weight_max", "weight_kg", data)
@ -106,50 +200,22 @@ def filter_players(queryset, data: dict):
earliest_birth = _years_ago_today(age_max + 1) + timedelta(days=1)
queryset = queryset.filter(birth_date__gte=earliest_birth)
queryset = _apply_min_max_filter(
queryset,
"games_played_min",
"games_played_max",
"player_seasons__games_played",
data,
)
mpg_min = data.get("minutes_per_game_min")
mpg_max = data.get("minutes_per_game_max")
if mpg_min is not None:
queryset = queryset.filter(player_seasons__games_played__gt=0).filter(
player_seasons__minutes_played__gte=F("player_seasons__games_played") * mpg_min
)
if mpg_max is not None:
queryset = queryset.filter(player_seasons__games_played__gt=0).filter(
player_seasons__minutes_played__lte=F("player_seasons__games_played") * mpg_max
if _has_season_scope_filters(data):
scoped_seasons = _apply_player_season_scope_filters(
PlayerSeason.objects.filter(player_id=OuterRef("pk")),
data,
)
queryset = queryset.filter(Exists(scoped_seasons))
stat_pairs = (
("points_per_game_min", "points_per_game_max", "player_seasons__stats__points"),
("rebounds_per_game_min", "rebounds_per_game_max", "player_seasons__stats__rebounds"),
("assists_per_game_min", "assists_per_game_max", "player_seasons__stats__assists"),
("steals_per_game_min", "steals_per_game_max", "player_seasons__stats__steals"),
("blocks_per_game_min", "blocks_per_game_max", "player_seasons__stats__blocks"),
("turnovers_per_game_min", "turnovers_per_game_max", "player_seasons__stats__turnovers"),
("fg_pct_min", "fg_pct_max", "player_seasons__stats__fg_pct"),
("three_pct_min", "three_pct_max", "player_seasons__stats__three_pct"),
("ft_pct_min", "ft_pct_max", "player_seasons__stats__ft_pct"),
(
"efficiency_metric_min",
"efficiency_metric_max",
"player_seasons__stats__player_efficiency_rating",
),
)
for min_key, max_key, field_name in stat_pairs:
queryset = _apply_min_max_filter(queryset, min_key, max_key, field_name, data)
if _needs_distinct(data):
if query:
return queryset.distinct()
return queryset
def annotate_player_metrics(queryset):
def annotate_player_metrics(queryset, data: dict | None = None):
data = data or {}
context_filter = _build_metric_context_filter(data)
mpg_expression = Case(
When(
player_seasons__games_played__gt=0,
@ -164,38 +230,38 @@ def annotate_player_metrics(queryset):
return queryset.annotate(
games_played_value=Coalesce(
Max("player_seasons__games_played"),
Max("player_seasons__games_played", filter=context_filter),
Value(0, output_field=IntegerField()),
output_field=IntegerField(),
),
mpg_value=Coalesce(Max(mpg_expression), Value(0.0)),
mpg_value=Coalesce(Max(mpg_expression, filter=context_filter), Value(0.0)),
ppg_value=Coalesce(
Max("player_seasons__stats__points"),
Max("player_seasons__stats__points", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),
rpg_value=Coalesce(
Max("player_seasons__stats__rebounds"),
Max("player_seasons__stats__rebounds", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),
apg_value=Coalesce(
Max("player_seasons__stats__assists"),
Max("player_seasons__stats__assists", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),
spg_value=Coalesce(
Max("player_seasons__stats__steals"),
Max("player_seasons__stats__steals", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),
bpg_value=Coalesce(
Max("player_seasons__stats__blocks"),
Max("player_seasons__stats__blocks", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),
top_efficiency=Coalesce(
Max("player_seasons__stats__player_efficiency_rating"),
Max("player_seasons__stats__player_efficiency_rating", filter=context_filter),
Value(0, output_field=DecimalField(max_digits=6, decimal_places=2)),
output_field=DecimalField(max_digits=6, decimal_places=2),
),