86 lines
2.0 KiB
Python
86 lines
2.0 KiB
Python
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from pydantic import BaseModel, Field
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from typing import Optional, Dict, Any, List
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from datetime import datetime
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import uuid
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class EventCreate(BaseModel):
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event_type: str = Field(..., max_length=64)
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page: str = Field(..., max_length=255)
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element: Optional[str] = Field(None, max_length=255)
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metadata: Optional[Dict[str, Any]] = None
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session_id: Optional[str] = Field(None, max_length=64)
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class EventResponse(BaseModel):
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id: uuid.UUID
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event_type: str
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page: str
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element: Optional[str]
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session_id: str
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ip_partial: Optional[str]
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browser: Optional[str]
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os_name: Optional[str]
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country: Optional[str]
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city: Optional[str]
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created_at: datetime
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model_config = {"from_attributes": True}
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class DailyStat(BaseModel):
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date: str
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count: int
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class TopItem(BaseModel):
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label: str
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count: int
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class AnalyticsSummary(BaseModel):
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total_events_today: int
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total_events_yesterday: int
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page_views_today: int
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unique_sessions_today: int
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unique_sessions_total: int
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total_events_all_time: int
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events_by_type: List[TopItem]
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top_pages: List[TopItem]
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top_elements: List[TopItem]
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top_journeys: List[TopItem]
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top_browsers: List[TopItem]
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top_os: List[TopItem]
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top_countries: List[TopItem]
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events_last_7_days: List[DailyStat]
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recent_events: List[EventResponse]
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class BookingActivityStat(BaseModel):
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date: str
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booked: int
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cancellations: int
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class BookingForwardLoadStat(BaseModel):
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date: str
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total: int
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am: int
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pm: int
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class BookingCustomerVolume(BaseModel):
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label: str
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count: int
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class BookingOperationsSummary(BaseModel):
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active_bookings_total: int
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forward_load_total: int
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booked_last_30_days: int
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cancellations_last_30_days: int
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high_volume_customer_count: int
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forward_load_next_14_days: List[BookingForwardLoadStat]
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activity_last_30_days: List[BookingActivityStat]
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top_high_volume_customers: List[BookingCustomerVolume]
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