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Remove all previously tracked files that are now ignored

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This commit is contained in:
Aditya Pulipaka
2025-10-19 05:29:30 -05:00
parent 1773010712
commit 89924c1580
45 changed files with 117 additions and 43 deletions
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36
ai_intelligence_layer/main.py
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@@ -49,6 +49,7 @@ strategy_generator: StrategyGenerator = None
telemetry_client: TelemetryClient = None
current_race_context: RaceContext = None # Store race context globally
last_control_command: Dict[str, int] = {"brake_bias": 5, "differential_slip": 5} # Store last command
strategy_history: List[Dict[str, Any]] = [] # Track past strategies for continuity
# WebSocket connection manager
class ConnectionManager:
@@ -378,7 +379,7 @@ async def websocket_pi_endpoint(websocket: WebSocket):
2. AI layer processes telemetry and generates strategies
3. AI layer pushes control commands back to Pi (brake_bias, differential_slip)
"""
global current_race_context, last_control_command
global current_race_context, last_control_command, strategy_history
vehicle_id = await websocket_manager.connect(websocket)
@@ -389,7 +390,11 @@ async def websocket_pi_endpoint(websocket: WebSocket):
# Reset last control command to neutral for new session
last_control_command = {"brake_bias": 5, "differential_slip": 5}
# Clear strategy history for new race
strategy_history = []
logger.info("[WebSocket] Telemetry buffer cleared for new connection")
logger.info("[WebSocket] Strategy history cleared for new race")
# Notify dashboards of new vehicle connection
await dashboard_manager.broadcast({
@@ -454,12 +459,26 @@ async def websocket_pi_endpoint(websocket: WebSocket):
try:
response = await strategy_generator.generate(
enriched_telemetry=buffer_data,
race_context=current_race_context
race_context=current_race_context,
strategy_history=strategy_history
)
# Extract top strategy (first one)
top_strategy = response.strategies[0] if response.strategies else None
# Add to strategy history
if top_strategy:
strategy_history.append({
"lap": lap_number,
"strategy_name": top_strategy.strategy_name,
"risk_level": top_strategy.risk_level,
"brief_description": top_strategy.brief_description,
"reasoning": top_strategy.reasoning
})
# Keep only last 10 strategies
if len(strategy_history) > 10:
strategy_history.pop(0)
# Generate control commands based on strategy
control_command = generate_control_command(
lap_number=lap_number,
@@ -490,6 +509,11 @@ async def websocket_pi_endpoint(websocket: WebSocket):
"type": "lap_data",
"vehicle_id": vehicle_id,
"lap_data": enriched,
"race_context": {
"position": current_race_context.driver_state.current_position,
"gap_to_leader": current_race_context.driver_state.gap_to_leader,
"gap_to_ahead": current_race_context.driver_state.gap_to_ahead
},
"control_output": {
"brake_bias": control_command["brake_bias"],
"differential_slip": control_command["differential_slip"]
@@ -497,7 +521,8 @@ async def websocket_pi_endpoint(websocket: WebSocket):
"strategy": {
"strategy_name": top_strategy.strategy_name,
"risk_level": top_strategy.risk_level,
"brief_description": top_strategy.brief_description
"brief_description": top_strategy.brief_description,
"reasoning": top_strategy.reasoning
} if top_strategy else None,
"timestamp": datetime.now().isoformat()
})
@@ -527,6 +552,11 @@ async def websocket_pi_endpoint(websocket: WebSocket):
"type": "lap_data",
"vehicle_id": vehicle_id,
"lap_data": enriched,
"race_context": {
"position": current_race_context.driver_state.current_position,
"gap_to_leader": current_race_context.driver_state.gap_to_leader,
"gap_to_ahead": current_race_context.driver_state.gap_to_ahead
},
"control_output": {
"brake_bias": 5,
"differential_slip": 5