41535c34e6
Introduce a layered pipeline architecture for the memory write flow: - WritePipeline: orchestrates preprocess → extract → store → cluster → summarize with deadlock retry, resource cleanup, and pilot-run support - MemoryService: facade that delegates to WritePipeline, placeholder methods for read/forget/reflect - BearLogger: structured step-level logging with perf threshold alerts - Shadow pipeline integration in MemoryAgentService (env-gated pilot run) Also includes: - Fix deprecated SQLAlchemy declarative_base import - Extend Neo4j Entity fulltext index to cover description and aliases - Migrate Pydantic schemas to v2 (ConfigDict, field_validator)
66 lines
2.2 KiB
Python
66 lines
2.2 KiB
Python
"""
|
|
Order Schema
|
|
|
|
Defines request and response models for order operations.
|
|
"""
|
|
|
|
from pydantic import BaseModel, ConfigDict, Field
|
|
from typing import Any, Optional
|
|
|
|
|
|
class CreateOrderRequest(BaseModel):
|
|
"""Create order request model"""
|
|
|
|
product_id: str = Field(..., description="Product ID")
|
|
quantity: int = Field(..., gt=0, description="Order quantity")
|
|
customer_name: Optional[str] = Field(None, description="Customer name")
|
|
customer_email: Optional[str] = Field(None, description="Customer email")
|
|
notes: Optional[str] = Field(None, description="Order notes")
|
|
|
|
model_config = ConfigDict(
|
|
json_schema_extra={
|
|
"example": {
|
|
"product_id": "PROD-001",
|
|
"quantity": 2,
|
|
"customer_name": "John Doe",
|
|
"customer_email": "john@example.com",
|
|
"notes": "Please deliver before 5pm"
|
|
}
|
|
}
|
|
)
|
|
|
|
|
|
class OrderResponse(BaseModel):
|
|
"""Order response model"""
|
|
|
|
order_id: str = Field(..., description="Order ID")
|
|
status: str = Field(..., description="Order status")
|
|
product_id: str = Field(..., description="Product ID")
|
|
quantity: int = Field(..., description="Order quantity")
|
|
total_amount: Optional[float] = Field(None, description="Total amount")
|
|
created_at: Optional[str] = Field(None, description="Creation timestamp")
|
|
message: Optional[str] = Field(None, description="Response message")
|
|
|
|
model_config = ConfigDict(
|
|
json_schema_extra={
|
|
"example": {
|
|
"order_id": "ORD-20231224-001",
|
|
"status": "pending",
|
|
"product_id": "PROD-001",
|
|
"quantity": 2,
|
|
"total_amount": 199.99,
|
|
"created_at": "2023-12-24T10:30:00Z",
|
|
"message": "Order created successfully"
|
|
}
|
|
}
|
|
)
|
|
|
|
|
|
class ExternalOrderResponse(BaseModel):
|
|
"""External API response model (flexible structure)"""
|
|
|
|
success: bool = Field(default=True, description="Request success status")
|
|
data: Optional[Any] = Field(None, description="Response data")
|
|
error: Optional[str] = Field(None, description="Error message")
|
|
code: Optional[int] = Field(None, description="Response code")
|