from pydantic import BaseModel, Field
from typing import List, Optional, Dict, Any
from datetime import datetime
class DecisionInput(BaseModel):
description: str = Field(..., min_length=10, max_length=1000)
rationale: str = Field(..., min_length=20, max_length=2000)
alternatives: List[str] = Field(default_factory=list)
related_to: List[str] = Field(default_factory=list)
class PatternInput(BaseModel):
name: str = Field(..., min_length=3, max_length=100)
implementation: str = Field(..., min_length=20, max_length=3000)
use_cases: List[str] = Field(default_factory=list)
context: str = Field(..., min_length=10, max_length=1000)
class FailureInput(BaseModel):
attempt: str = Field(..., min_length=10, max_length=1000)
reason_failed: str = Field(..., min_length=10, max_length=2000)
lesson_learned: str = Field(..., min_length=20, max_length=2000)
alternative_solution: Optional[str] = Field(None, max_length=1000)
class TimelineEntry(BaseModel):
timestamp: datetime
type: str
content: Dict[str, Any]
id: str
class GapReportOutput(BaseModel):
gap_type: str
affected_nodes: List[str]
severity: str
recommendation: str
metrics: Dict[str, Any]
