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AICyclingCoach/backend/app/schemas/rule.py
2025-09-12 07:32:32 -07:00

49 lines
2.0 KiB
Python

from pydantic import BaseModel, Field, field_validator
from typing import Optional, Dict, Any, List
from uuid import UUID
from datetime import datetime
class NaturalLanguageRuleRequest(BaseModel):
"""Request schema for natural language rule parsing."""
natural_language_text: str = Field(
...,
min_length=10,
max_length=5000,
description="Natural language rule description"
)
rule_name: str = Field(..., min_length=1, max_length=100, description="Rule set name")
@field_validator('natural_language_text')
@classmethod
def validate_text_content(cls, v):
required_keywords = ['ride', 'week', 'hour', 'day', 'rest', 'training']
if not any(keyword in v.lower() for keyword in required_keywords):
raise ValueError("Text must contain training-related keywords")
return v
class ParsedRuleResponse(BaseModel):
"""Response schema for parsed rules."""
parsed_rules: Dict[str, Any] = Field(..., description="Structured rule data")
confidence_score: Optional[float] = Field(None, ge=0.0, le=1.0, description="Parsing confidence")
suggestions: List[str] = Field(default=[], description="Improvement suggestions")
validation_errors: List[str] = Field(default=[], description="Validation errors")
rule_name: str = Field(..., description="Rule set name")
class RuleBase(BaseModel):
"""Base rule schema."""
name: str = Field(..., min_length=1, max_length=100)
description: Optional[str] = Field(None, max_length=500)
user_defined: bool = Field(True, description="Whether rule is user-defined")
rule_text: str = Field(..., min_length=10, description="Plaintext rule description")
version: int = Field(1, ge=1, description="Rule version")
parent_rule_id: Optional[UUID] = Field(None, description="Parent rule for versioning")
class RuleCreate(RuleBase):
pass
class Rule(RuleBase):
id: UUID
created_at: datetime
updated_at: datetime
model_config = {"from_attributes": True}