Delete models.py

models.py

@@ -1,94 +0,0 @@
-"""
-Pydantic models for the scraper API.
-"""
-
-from datetime import datetime
-from typing import Any, Dict, List, Optional
-
-from pydantic import BaseModel, Field
-
-
-class TaskInput(BaseModel):
-    title: str = Field(..., description="Task title")
-    content: str = Field(..., description="Task body")
-    source_url: str = Field(..., description="Source URL")
-    task_type: Optional[str] = Field(None, description="Task type")
-    images: Optional[List[str]] = Field(default_factory=list, description="Task images")
-    variants: Optional[List[str]] = Field(default_factory=list, description="Answer variants")
-
-
-class TaskResponse(BaseModel):
-    id: Optional[int] = None
-    title: str
-    content: str
-    source_url: str
-    task_type: Optional[str] = None
-    images: Optional[List[str]] = None
-    variants: Optional[List[str]] = None
-    task_number: Optional[int] = None
-    source_kind: Optional[str] = None
-    task_guid: Optional[str] = None
-    can_check_answer: bool = False
-    scraped_at: Optional[datetime] = None
-    rubert_analysis: Optional[Dict[str, Any]] = None
-
-
-class ScrapeRequest(BaseModel):
-    subject: Optional[str] = Field("russian", description="Subject code")
-    urls: Optional[List[str]] = Field(default_factory=list, description="Explicit URLs to scrape")
-    query: Optional[str] = Field(None, description="Search query")
-    full_refresh: bool = Field(
-        False,
-        description="When true, also scrape official archives and open-variant PDFs",
-    )
-
-
-class ScrapeResponse(BaseModel):
-    success: bool
-    tasks_scraped: int
-    tasks_saved: int
-    duplicates_skipped: int
-    message: str
-
-
-class CheckAnswerRequest(BaseModel):
-    answer: str = Field(..., min_length=1, description="Submitted answer")
-
-
-class CheckAnswerResponse(BaseModel):
-    success: bool
-    is_correct: bool
-    status_code: str
-    status_label: str
-    submitted_answer: str
-    normalized_answer: str
-    message: str
-
-
-class AnalysisRequest(BaseModel):
-    text: str = Field(..., description="Text to analyze")
-
-
-class AnalysisResponse(BaseModel):
-    category: str
-    keywords: List[str]
-    confidence: float
-    embedding: Optional[List[float]] = None
-
-
-class HealthResponse(BaseModel):
-    status: str
-    timestamp: datetime
-    services: Dict[str, bool]
-
-
-class StatsResponse(BaseModel):
-    total_tasks: int
-    by_type: Dict[str, int]
-    last_scrape: Optional[datetime] = None
-
-
-class ErrorResponse(BaseModel):
-    error: str
-    detail: Optional[str] = None
-    timestamp: datetime = Field(default_factory=datetime.utcnow)