7758315632
Services: - api: FastAPI gateway with JWT auth, async endpoints, WebSocket - worker-gpu: CUDA sentence-transformers, FAISS IVFFlat, Ollama LLM - worker-indexer: Winnowing+MinHash plagiarism detection, PDF/DOCX extraction - worker-notifier: SMTP email notifications - worker-gost: GOST 7.1-2003 and GOST R 7.0.5-2008 formatting Infrastructure: - docker-compose.yml (production) + docker-compose.dev.yml (hot reload) - Nginx reverse proxy + WebSocket support - PostgreSQL 16 with Alembic migrations - Elasticsearch 8 with Russian/English analyzers - MinIO, RabbitMQ, Redis, Ollama Frontend: - React 18 + Vite + TypeScript + TailwindCSS + Zustand + React Query v5 - 9 pages: Home, Search, Cabinet, Task, Check, Bibliography, Pricing, Login, Register Scripts: - Parser stubs: OpenAlex, КиберЛенинка, arXiv (Phase 0 - to be filled) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
"""Схемы для отчётов о плагиате и результатов поиска."""
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from datetime import datetime
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from pydantic import BaseModel, Field
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class PlagiarismMatch(BaseModel):
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"""Совпадение фрагмента с источником."""
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fragment: str
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position_start: int
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position_end: int
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similarity: float = Field(ge=0.0, le=100.0, description="Схожесть в процентах")
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method: str = Field(description="Метод обнаружения: exact, fuzzy, semantic+llm")
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confidence: float | None = Field(default=None, ge=0.0, le=1.0)
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reason: str | None = None
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source_title: str
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source_url: str | None = None
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source_db: str = Field(description="База данных: openalex, cyberleninka, arxiv, и т.д.")
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class PlagiarismReport(BaseModel):
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"""Полный отчёт о плагиате."""
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task_id: str
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overall_similarity: float = Field(ge=0.0, le=100.0)
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matches: list[PlagiarismMatch] = Field(default_factory=list)
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total_fragments: int
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flagged_fragments: int
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checked_at: datetime
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class SearchResult(BaseModel):
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"""Источник в результатах поиска."""
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id: int
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title: str
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authors: list[dict] = Field(default_factory=list)
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year: int | None = None
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journal: str | None = None
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abstract: str | None = None
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url: str | None = None
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relevance_score: float = Field(ge=0.0, le=1.0)
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gost_citation: str = Field(description="Отформатированная ГОСТ-цитата")
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source_db: str
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