Implement Phase 1: Daily Helper Foundation
Complete implementation of Phase 1 enhancements including: Backend: - UserProfile model for storing user preferences (timezone, trading style, risk tolerance) - DailyRoutine model for scheduling routines (morning, active_trading, evening) - RoutineExecution model for tracking routine execution history - Notification model for managing all types of notifications - DailyChecklist model for daily task tracking with completion percentage - HabitTracker model for tracking habits and streaks Services: - RoutineService: Handles routine execution with task registry pattern - RoutineScheduler: Async scheduler for automated routine execution - NotificationService: Comprehensive notification creation and delivery system - Support for price alerts, news, routines, reminders, and performance notifications API Endpoints (daily_helper router): - User profile: CRUD operations, get/update preferences - Daily routines: Create, list, execute, track history - Notifications: CRUD, mark read, batch operations - Daily checklists: CRUD, item management, completion tracking - Habits: Create, track, log completions, manage streaks - Dashboard: Summary endpoint for daily helper overview Frontend Components: - UserProfileSetup: Complete user profile configuration with preferences - NotificationCenter: Bell icon with dropdown, notification management - HabitTracker: Habit creation, streak tracking, gamification with fire emojis - DailyChecklistPanel: Checklist management with completion percentage Schemas: - Full Pydantic schemas for request/response validation - Type-safe API contracts Features: - Timezone support for international users - Trading style and risk tolerance preferences - Automated routine execution with task registry - Real-time notifications with priority levels - Habit streaks with motivational badges - Daily checklist with persistent state - Completion percentage tracking - Notes and metadata support All components are production-ready with error handling and user feedback.
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Claude
@@ -209,3 +209,178 @@ class CorrelationAnalysisResponse(BaseModel):
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correlations: List[NewsPriceCorrelation]
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significant_events: int
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avg_price_impact: float
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# Phase 1: Daily Helper Schemas
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class UserProfileCreate(BaseModel):
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email: Optional[str] = None
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username: Optional[str] = None
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timezone: str = "UTC"
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preferred_trading_start: str = "09:00"
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preferred_trading_end: str = "17:00"
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risk_tolerance: str = "moderate"
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trading_style: str = "day_trader"
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daily_target: Optional[float] = None
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max_loss: Optional[float] = None
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class UserProfileUpdate(BaseModel):
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timezone: Optional[str] = None
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preferred_trading_start: Optional[str] = None
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preferred_trading_end: Optional[str] = None
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risk_tolerance: Optional[str] = None
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trading_style: Optional[str] = None
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daily_target: Optional[float] = None
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max_loss: Optional[float] = None
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notifications_enabled: Optional[bool] = None
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email_reports: Optional[bool] = None
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sms_enabled: Optional[bool] = None
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push_notifications: Optional[bool] = None
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phone_number: Optional[str] = None
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class UserProfileResponse(BaseModel):
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id: int
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email: Optional[str]
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username: Optional[str]
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timezone: str
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preferred_trading_start: str
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preferred_trading_end: str
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risk_tolerance: str
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trading_style: str
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daily_target: Optional[float]
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max_loss: Optional[float]
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notifications_enabled: bool
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email_reports: bool
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sms_enabled: bool
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push_notifications: bool
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class DailyRoutineCreate(BaseModel):
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routine_type: str # morning, active_trading, evening
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scheduled_time: str # HH:MM
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tasks: List[str] = []
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enabled: bool = True
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class DailyRoutineUpdate(BaseModel):
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scheduled_time: Optional[str] = None
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tasks: Optional[List[str]] = None
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enabled: Optional[bool] = None
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class DailyRoutineResponse(BaseModel):
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id: int
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routine_type: str
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scheduled_time: str
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tasks: List[str]
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enabled: bool
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class RoutineExecutionResponse(BaseModel):
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id: int
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routine_id: int
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executed_at: datetime
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completion_status: str
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tasks_completed: List[str]
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execution_notes: Optional[str]
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class Config:
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from_attributes = True
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class NotificationCreate(BaseModel):
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notification_type: str
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title: str
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message: str
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priority: str = "normal"
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delivery_method: str = "push"
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data: Optional[dict] = None
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class NotificationResponse(BaseModel):
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id: int
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notification_type: str
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title: str
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message: str
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priority: str
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delivery_method: str
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read: bool
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created_at: datetime
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read_at: Optional[datetime]
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class Config:
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from_attributes = True
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class NotificationListResponse(BaseModel):
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notifications: List[NotificationResponse]
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unread_count: int
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total_count: int
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class ChecklistItem(BaseModel):
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id: str
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title: str
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completed: bool = False
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completed_at: Optional[datetime] = None
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class DailyChecklistCreate(BaseModel):
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checklist_type: str # morning, active_trading, evening, all
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items: Optional[List[ChecklistItem]] = None
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notes: Optional[str] = None
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class DailyChecklistUpdate(BaseModel):
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items: Optional[List[ChecklistItem]] = None
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notes: Optional[str] = None
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class DailyChecklistResponse(BaseModel):
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id: int
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checklist_date: str # ISO date string
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checklist_type: str
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items: List[ChecklistItem]
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completion_percentage: float
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notes: Optional[str]
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class HabitTrackerCreate(BaseModel):
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habit_name: str
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frequency: str = "daily" # daily, weekly
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class HabitTrackerResponse(BaseModel):
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id: int
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habit_name: str
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frequency: str
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current_streak: int
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longest_streak: int
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total_completions: int
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created_at: datetime
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updated_at: datetime
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class Config:
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from_attributes = True
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class HabitCompletionRequest(BaseModel):
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habit_id: int
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completion_date: Optional[str] = None # ISO date string, defaults to today
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