Fixed some tests and added schemas

src/alpine_bits_python/schemas.py

@@ -10,11 +10,15 @@ from XML generation (xsdata) follows clean architecture principles.
 """
 
 import hashlib
+import json
 from datetime import date, datetime
 from enum import Enum
+from typing import Any
 
 from pydantic import BaseModel, EmailStr, Field, field_validator, model_validator
 
+from .const import WebhookStatus
+
 
 # Country name to ISO 3166-1 alpha-2 code mapping
 COUNTRY_NAME_TO_CODE = {
@@ -308,6 +312,148 @@ class CommentsData(BaseModel):
     model_config = {"from_attributes": True}
 
 
+class HotelData(BaseModel):
+    """Validated hotel configuration data."""
+
+    hotel_id: str = Field(..., min_length=1, max_length=50)
+    hotel_name: str = Field(..., min_length=1, max_length=200)
+    username: str = Field(..., min_length=1, max_length=100)
+    password_hash: str = Field(..., min_length=1, max_length=200)
+    meta_account_id: str | None = Field(None, max_length=50)
+    google_account_id: str | None = Field(None, max_length=50)
+    push_endpoint_url: str | None = Field(None, max_length=500)
+    push_endpoint_token: str | None = Field(None, max_length=200)
+    push_endpoint_username: str | None = Field(None, max_length=100)
+    created_at: datetime = Field(default_factory=lambda: datetime.now())
+    updated_at: datetime = Field(default_factory=lambda: datetime.now())
+    is_active: bool = Field(default=True)
+
+    @field_validator("hotel_id", "hotel_name", "username")
+    @classmethod
+    def strip_whitespace(cls, v: str) -> str:
+        """Remove leading/trailing whitespace."""
+        return v.strip()
+
+    model_config = {"from_attributes": True}
+
+
+class WebhookEndpointData(BaseModel):
+    """Validated webhook endpoint configuration data."""
+
+    hotel_id: str = Field(..., min_length=1, max_length=50)
+    webhook_secret: str = Field(..., min_length=1, max_length=64)
+    webhook_type: str = Field(..., min_length=1, max_length=50)
+    description: str | None = Field(None, max_length=200)
+    is_enabled: bool = Field(default=True)
+    created_at: datetime = Field(default_factory=lambda: datetime.now())
+
+    @field_validator("hotel_id", "webhook_secret", "webhook_type")
+    @classmethod
+    def strip_whitespace(cls, v: str) -> str:
+        """Remove leading/trailing whitespace."""
+        return v.strip()
+
+    model_config = {"from_attributes": True}
+
+
+class WebhookRequestData(BaseModel):
+    """Validated webhook request data.
+
+    This model handles the special case where:
+    - payload_json is required for creation (to calculate payload_hash)
+    - payload_json becomes optional after processing (can be purged for privacy/storage)
+    - payload_hash is auto-calculated from payload_json when provided
+    """
+
+    # Required fields
+    payload_json: dict[str, Any] | None = Field(
+        ...,
+        description="Webhook payload (required for creation, nullable after purge)"
+    )
+
+    # Auto-calculated from payload_json
+    payload_hash: str | None = Field(
+        None,
+        min_length=64,
+        max_length=64,
+        description="SHA256 hash of canonical JSON payload (auto-calculated)"
+    )
+
+    # Optional foreign keys
+    webhook_endpoint_id: int | None = Field(None, gt=0)
+    hotel_id: str | None = Field(None, max_length=50)
+
+    # Processing tracking
+    status: WebhookStatus = Field(default=WebhookStatus.PENDING)
+    processing_started_at: datetime | None = None
+    processing_completed_at: datetime | None = None
+
+    # Retry handling
+    retry_count: int = Field(default=0, ge=0)
+    last_error: str | None = Field(None, max_length=2000)
+
+    # Payload metadata
+    purged_at: datetime | None = None
+
+    # Request metadata
+    created_at: datetime = Field(default_factory=lambda: datetime.now())
+    source_ip: str | None = Field(None, max_length=45)
+    user_agent: str | None = Field(None, max_length=500)
+
+    # Result tracking
+    created_customer_id: int | None = Field(None, gt=0)
+    created_reservation_id: int | None = Field(None, gt=0)
+
+    @model_validator(mode="after")
+    def calculate_payload_hash(self) -> "WebhookRequestData":
+        """Auto-calculate payload_hash from payload_json if not provided.
+
+        Uses the same hashing algorithm as api.py:
+        - Canonical JSON with sorted keys
+        - UTF-8 encoding
+        - SHA256 hash
+
+        This runs after all field validation, so we can access the validated payload_json.
+        """
+        # Only calculate if payload_json is provided and payload_hash is not set
+        if self.payload_json is not None and self.payload_hash is None:
+            # Create canonical JSON string (sorted keys for consistency)
+            payload_json_str = json.dumps(self.payload_json, sort_keys=True)
+            # Calculate SHA256 hash
+            self.payload_hash = hashlib.sha256(
+                payload_json_str.encode("utf-8")
+            ).hexdigest()
+
+        return self
+
+    @model_validator(mode="after")
+    def validate_payload_hash_requirements(self) -> "WebhookRequestData":
+        """Ensure payload_hash is present (either provided or calculated).
+
+        This validator runs after calculate_payload_hash, so payload_hash should
+        be set if payload_json was provided.
+        """
+        if self.payload_hash is None:
+            raise ValueError(
+                "payload_hash is required. It can be auto-calculated from payload_json "
+                "or explicitly provided."
+            )
+
+        return self
+
+    @field_validator("status", mode="before")
+    @classmethod
+    def normalize_status(cls, v: str | WebhookStatus) -> WebhookStatus:
+        """Normalize status to WebhookStatus enum."""
+        if isinstance(v, WebhookStatus):
+            return v
+        if isinstance(v, str):
+            return WebhookStatus(v)
+        raise ValueError(f"Invalid webhook status: {v}")
+
+    model_config = {"from_attributes": True}
+
+
 # Example usage in a service layer
 class ReservationService:
     """Example service showing how to use Pydantic models with SQLAlchemy."""