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feat: Phase 5 complete - Full stack AI Todo application with Dapr and Kafka
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"""
Pydantic Models for API Requests/Responses
"""
from pydantic import BaseModel, Field, field_validator
from typing import Optional, List
from datetime import datetime
from uuid import UUID
# Request Models
class TaskCreateRequest(BaseModel):
"""Request model for creating a task"""
title: str = Field(..., min_length=1, max_length=500)
description: Optional[str] = None
due_date: Optional[datetime] = None
priority: str = Field(default="medium", pattern="^(low|medium|high|urgent)$")
tags: List[str] = Field(default_factory=list)
class TaskUpdateRequest(BaseModel):
"""Request model for updating a task"""
title: Optional[str] = Field(None, min_length=1, max_length=500)
description: Optional[str] = None
due_date: Optional[datetime] = None
priority: Optional[str] = Field(None, pattern="^(low|medium|high|urgent)$")
tags: Optional[List[str]] = None
status: Optional[str] = Field(None, pattern="^(active|completed|deleted)$")
class ChatCommandRequest(BaseModel):
"""Request model for chat command"""
user_input: str = Field(..., min_length=1)
conversation_id: Optional[str] = None
# Response Models
class TaskResponse(BaseModel):
"""Response model for a task"""
id: UUID
user_id: UUID
title: str
description: Optional[str]
due_date: Optional[datetime]
priority: str
tags: List[str]
status: str
created_at: datetime
updated_at: datetime
class Config:
from_attributes = True
class ChatCommandResponse(BaseModel):
"""Response model for chat command"""
response: str
intent_detected: str
skill_agent_used: str
confidence_score: float
requires_clarification: bool
task_created: Optional[TaskResponse] = None
data: Optional[dict] = None
class HealthResponse(BaseModel):
"""Response model for health check"""
status: str
version: str
timestamp: datetime
components: dict