Clear space for fresh deployment

app/schemas.py

@@ -1,80 +0,0 @@
-"""Pydantic request/response models."""
-from __future__ import annotations
-from pydantic import BaseModel, Field, ConfigDict
-from typing import Optional
-
-
-class BookingFeatures(BaseModel):
-    """Public prediction payload schema.
-
-    Many training-time features are internal or engineered; to keep the public
-    contract lightweight we make several fields optional with neutral defaults.
-    This enables a *minimal* JSON payload such as:
-        {"lead_time": 30, "arrival_month": 7, "adults": 2, "children": 0, "adr": 120.0}
-    The `_prepare` function supplements / engineers the remaining columns.
-    """
-
-    lead_time: int = Field(..., ge=0)
-    arrival_month: int = Field(..., ge=1, le=12)
-    # Stay details (optional, defaulting to a short weekday stay)
-    stays_weekend_nights: int | None = Field(0, ge=0)
-    stays_week_nights: int | None = Field(1, ge=0)
-    # Guest composition
-    adults: int = Field(..., ge=1)
-    children: int | None = Field(0, ge=0)
-    # Historical / behavioral signals
-    is_repeated_guest: int | None = Field(0, ge=0, le=1)
-    previous_cancellations: int | None = Field(0, ge=0)
-    booking_changes: int | None = Field(0, ge=0)
-    # Pricing
-    adr: float = Field(..., ge=0, description="Average daily rate (numeric, required)")
-    # Amenities / request counts
-    required_car_parking_spaces: int | None = Field(0, ge=0)
-    total_of_special_requests: int | None = Field(0, ge=0)
-
-    model_config = ConfigDict(json_schema_extra={
-        "examples": [
-            {
-                "summary": "Minimal",
-                "value": {
-                    "lead_time": 30,
-                    "arrival_month": 7,
-                    "adults": 2,
-                    "children": 0,
-                    "adr": 120.0
-                }
-            },
-            {
-                "summary": "Extended",
-                "value": {
-                    "lead_time": 120,
-                    "arrival_month": 7,
-                    "stays_weekend_nights": 2,
-                    "stays_week_nights": 3,
-                    "adults": 2,
-                    "children": 1,
-                    "is_repeated_guest": 0,
-                    "previous_cancellations": 0,
-                    "booking_changes": 1,
-                    "adr": 95.5,
-                    "required_car_parking_spaces": 0,
-                    "total_of_special_requests": 2
-                }
-            }
-        ]
-    })
-
-
-class PredictionResponse(BaseModel):
-    prediction: int
-    probability: float
-    model_version: str | None = None
-    applied_threshold: float | None = None
-    threshold_source: str | None = None
-
-
-class HealthResponse(BaseModel):
-    status: str
-    model_loaded: bool
-    model_version: Optional[str] = None
-    decision_threshold: Optional[float] = None