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Advanced Analytics API endpoints.
Provides access to advanced basketball analytics including spacing, defensive reactions,
transition effort, decision quality, lineup impact, fatigue tracking, and auto-generated clips.
"""
from typing import List
from fastapi import APIRouter, Depends, HTTPException, status
from uuid import UUID
from app.dependencies import get_current_user, get_supabase
from app.models.advanced_analytics import (
TeamAdvancedSummary,
PlayerAdvancedAnalysis,
LineupComparison,
ClipCatalog,
SpacingSummary,
DefensiveReactionSummary,
TransitionEffortSummary,
DecisionQualitySummary,
LineupImpactSummary,
FatigueSummary,
ClipSummary,
LineupMetric,
AutoClip,
DefensiveReaction,
TransitionEffort,
DecisionAnalysis,
FatigueIndex,
)
from app.services.supabase_client import SupabaseService
router = APIRouter()
def _hydrate_analysis_result(result: dict) -> dict:
"""Extract summary stats from events JSONB if they exist and merge into top-level."""
if not result or "events" not in result:
return result
events = result.get("events", [])
if not isinstance(events, list):
return result
for event in events:
if isinstance(event, dict) and event.get("event_type") == "summary_stats":
details = event.get("details", {})
if isinstance(details, dict):
# Only fill if the main result field is missing or None
for key, value in details.items():
if key not in result or result[key] is None or key == "advanced_analytics":
result[key] = value
break
return result
@router.get("/team-summary/{video_id}", response_model=TeamAdvancedSummary)
async def get_team_advanced_summary(
video_id: str,
current_user: dict = Depends(get_current_user),
supabase: SupabaseService = Depends(get_supabase),
):
"""
Get aggregated advanced analytics summary for a team game.
Returns high-level statistics from all 7 analytics modules.
"""
# Verify video access
video = await supabase.select_one("videos", video_id)
if not video:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Video not found")
is_owner = str(video.get("uploader_id")) == str(current_user["id"])
is_org_member = False
if video.get("organization_id") and current_user.get("organization_id"):
if str(video["organization_id"]) == str(current_user["organization_id"]):
is_org_member = True
if not is_owner and not is_org_member:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied")
# Get analysis results
analysis_results = await supabase.select(
"analysis_results",
filters={"video_id": video_id},
order_by="created_at",
ascending=False,
limit=1
)
if not analysis_results:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="No analysis results found for this video"
)
analysis = analysis_results[0]
analysis = _hydrate_analysis_result(analysis)
advanced_analytics = analysis.get("advanced_analytics")
if not advanced_analytics:
return TeamAdvancedSummary(
video_id=UUID(video_id),
spacing_summary=None,
defensive_summary=None,
transition_summary=None,
decision_summary=None,
lineup_summary=None,
fatigue_summary=None,
clip_summary=None,
modules_executed=[],
modules_failed=[]
)
# Extract summaries from each module
spacing_summary = None
if "spacing" in advanced_analytics and advanced_analytics["spacing"].get("status") == "success":
spacing_summary = SpacingSummary(**advanced_analytics["spacing"]["summary"])
defensive_summary = None
if "defensive_reactions" in advanced_analytics and advanced_analytics["defensive_reactions"].get("status") == "success":
defensive_summary = DefensiveReactionSummary(**advanced_analytics["defensive_reactions"]["summary"])
transition_summary = None
if "transition_effort" in advanced_analytics and advanced_analytics["transition_effort"].get("status") == "success":
transition_summary = TransitionEffortSummary(**advanced_analytics["transition_effort"]["summary"])
decision_summary = None
if "decision_quality" in advanced_analytics and advanced_analytics["decision_quality"].get("status") == "success":
decision_summary = DecisionQualitySummary(**advanced_analytics["decision_quality"]["summary"])
lineup_summary = None
if "lineup_impact" in advanced_analytics and advanced_analytics["lineup_impact"].get("status") == "success":
lineup_summary = LineupImpactSummary(**advanced_analytics["lineup_impact"]["summary"])
fatigue_summary = None
if "fatigue" in advanced_analytics and advanced_analytics["fatigue"].get("status") == "success":
fatigue_summary = FatigueSummary(**advanced_analytics["fatigue"]["summary"])
clip_summary = None
if "clips" in advanced_analytics and advanced_analytics["clips"].get("status") == "success":
clip_summary = ClipSummary(**advanced_analytics["clips"]["summary"])
return TeamAdvancedSummary(
video_id=UUID(video_id),
spacing_summary=spacing_summary,
defensive_summary=defensive_summary,
transition_summary=transition_summary,
decision_summary=decision_summary,
lineup_summary=lineup_summary,
fatigue_summary=fatigue_summary,
clip_summary=clip_summary,
modules_executed=advanced_analytics.get("modules_executed", []),
modules_failed=advanced_analytics.get("modules_failed", [])
)
@router.get("/player/{video_id}/{player_track_id}", response_model=PlayerAdvancedAnalysis)
async def get_player_advanced_analysis(
video_id: str,
player_track_id: int,
current_user: dict = Depends(get_current_user),
supabase: SupabaseService = Depends(get_supabase),
):
"""
Get advanced analytics for a specific player in a game.
Returns player-specific metrics from all applicable modules.
"""
# Verify video access
video = await supabase.select_one("videos", video_id)
if not video:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Video not found")
is_owner = str(video.get("uploader_id")) == str(current_user["id"])
is_org_member = False
if video.get("organization_id") and current_user.get("organization_id"):
if str(video["organization_id"]) == str(current_user["organization_id"]):
is_org_member = True
if not is_owner and not is_org_member:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied")
# Get analysis results
analysis_results = await supabase.select(
"analysis_results",
filters={"video_id": video_id},
order_by="created_at",
ascending=False,
limit=1
)
if not analysis_results:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="No analysis results found")
analysis = analysis_results[0]
analysis = _hydrate_analysis_result(analysis)
advanced_analytics = analysis.get("advanced_analytics")
if not advanced_analytics:
return PlayerAdvancedAnalysis(
player_track_id=player_track_id,
video_id=UUID(video_id),
spacing_involvement=0,
defensive_reactions=[],
transition_efforts=[],
decision_analyses=[],
fatigue_indices=[],
avg_effort_score=0.0,
avg_reaction_delay_ms=None,
fatigue_level="low"
)
# Filter data for this specific player
player_defensive_reactions = []
if "defensive_reactions" in advanced_analytics:
all_reactions = advanced_analytics["defensive_reactions"].get("defensive_reactions", [])
player_defensive_reactions = [
DefensiveReaction(**r) for r in all_reactions
if r.get("defender_track_id") == player_track_id
]
player_transition_efforts = []
if "transition_effort" in advanced_analytics:
all_efforts = advanced_analytics["transition_effort"].get("transition_efforts", [])
player_transition_efforts = [
TransitionEffort(**e) for e in all_efforts
if e.get("player_track_id") == player_track_id
]
player_decision_analyses = []
if "decision_quality" in advanced_analytics:
all_decisions = advanced_analytics["decision_quality"].get("decision_analyses", [])
player_decision_analyses = [
DecisionAnalysis(**d) for d in all_decisions
if d.get("shooter_track_id") == player_track_id
]
player_fatigue_indices = []
if "fatigue" in advanced_analytics:
all_fatigue = advanced_analytics["fatigue"].get("fatigue_indices", [])
player_fatigue_indices = [
FatigueIndex(**f) for f in all_fatigue
if f.get("player_track_id") == player_track_id
]
# Calculate player-specific aggregates
spacing_involvement = 0
if "spacing" in advanced_analytics:
all_spacing = advanced_analytics["spacing"].get("spacing_metrics", [])
for metric in all_spacing:
player_positions = metric.get("player_positions", {})
if str(player_track_id) in player_positions:
spacing_involvement += 1
avg_effort_score = 0.0
if player_transition_efforts:
avg_effort_score = sum(e.effort_score for e in player_transition_efforts) / len(player_transition_efforts)
avg_reaction_delay_ms = None
if player_defensive_reactions:
valid_delays = [r.reaction_delay_ms for r in player_defensive_reactions if r.reaction_delay_ms is not None]
if valid_delays:
avg_reaction_delay_ms = sum(valid_delays) / len(valid_delays)
fatigue_level = "low"
if player_fatigue_indices:
latest_fatigue = player_fatigue_indices[-1]
fatigue_level = latest_fatigue.fatigue_level
return PlayerAdvancedAnalysis(
player_track_id=player_track_id,
video_id=UUID(video_id),
spacing_involvement=spacing_involvement,
defensive_reactions=player_defensive_reactions,
transition_efforts=player_transition_efforts,
decision_analyses=player_decision_analyses,
fatigue_indices=player_fatigue_indices,
avg_effort_score=avg_effort_score,
avg_reaction_delay_ms=avg_reaction_delay_ms,
fatigue_level=fatigue_level
)
@router.get("/lineups/{video_id}", response_model=LineupComparison)
async def get_lineup_comparison(
video_id: str,
current_user: dict = Depends(get_current_user),
supabase: SupabaseService = Depends(get_supabase),
):
"""
Get lineup performance comparison for a game.
Returns metrics for all 5-player combinations from both teams.
"""
# Verify video access
video = await supabase.select_one("videos", video_id)
if not video:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Video not found")
is_owner = str(video.get("uploader_id")) == str(current_user["id"])
is_org_member = False
if video.get("organization_id") and current_user.get("organization_id"):
if str(video["organization_id"]) == str(current_user["organization_id"]):
is_org_member = True
if not is_owner and not is_org_member:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied")
# Get analysis results
analysis_results = await supabase.select(
"analysis_results",
filters={"video_id": video_id},
order_by="created_at",
ascending=False,
limit=1
)
if not analysis_results:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="No analysis results found")
analysis = analysis_results[0]
analysis = _hydrate_analysis_result(analysis)
advanced_analytics = analysis.get("advanced_analytics")
if not advanced_analytics or "lineup_impact" not in advanced_analytics:
return LineupComparison(
video_id=UUID(video_id),
team_1_lineups=[],
team_2_lineups=[],
best_overall_lineup=None,
worst_overall_lineup=None
)
lineup_data = advanced_analytics["lineup_impact"]
all_lineups = lineup_data.get("lineup_metrics", [])
team_1_lineups = [LineupMetric(**l) for l in all_lineups if l.get("team_id") == 1]
team_2_lineups = [LineupMetric(**l) for l in all_lineups if l.get("team_id") == 2]
if not all_lineups:
raise HTTPException(
status_code=status.HTTP_404_NOT_FOUND,
detail="No lineup data available"
)
# Find best and worst lineups
best_lineup = max(all_lineups, key=lambda x: x.get("net_rating", 0))
worst_lineup = min(all_lineups, key=lambda x: x.get("net_rating", 0))
return LineupComparison(
video_id=UUID(video_id),
team_1_lineups=team_1_lineups,
team_2_lineups=team_2_lineups,
best_overall_lineup=LineupMetric(**best_lineup),
worst_overall_lineup=LineupMetric(**worst_lineup)
)
@router.get("/clips/{video_id}", response_model=ClipCatalog)
async def get_coaching_clips(
video_id: str,
clip_type: str = None,
current_user: dict = Depends(get_current_user),
supabase: SupabaseService = Depends(get_supabase),
):
"""
Get automatically generated coaching clips for a game.
Optionally filter by clip type (poor_spacing, late_rotation, etc.).
"""
# Verify video access
video = await supabase.select_one("videos", video_id)
if not video:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Video not found")
is_owner = str(video.get("uploader_id")) == str(current_user["id"])
is_org_member = False
if video.get("organization_id") and current_user.get("organization_id"):
if str(video["organization_id"]) == str(current_user["organization_id"]):
is_org_member = True
if not is_owner and not is_org_member:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Access denied")
# Get analysis results
analysis_results = await supabase.select(
"analysis_results",
filters={"video_id": video_id},
order_by="created_at",
ascending=False,
limit=1
)
if not analysis_results:
raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="No analysis results found")
analysis = analysis_results[0]
analysis = _hydrate_analysis_result(analysis)
advanced_analytics = analysis.get("advanced_analytics")
if not advanced_analytics or "clips" not in advanced_analytics:
return ClipCatalog(
video_id=UUID(video_id),
clips=[],
summary=ClipSummary(
total_clips_generated=0,
clips_by_type={},
output_directory=""
)
)
clip_data = advanced_analytics["clips"]
all_clips = clip_data.get("auto_clips", [])
# Filter by clip type if specified
if clip_type:
all_clips = [c for c in all_clips if c.get("clip_type") == clip_type]
clips = [AutoClip(**c) for c in all_clips]
summary = ClipSummary(**clip_data.get("summary", {}))
return ClipCatalog(
video_id=UUID(video_id),
clips=clips,
summary=summary
)
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