feat: initial microservices project structure

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>

services/api/app/schemas/auth.py

@@ -0,0 +1,38 @@
+"""Схемы для аутентификации и авторизации."""
+
+from pydantic import BaseModel, EmailStr, Field
+
+
+class RegisterRequest(BaseModel):
+    """Запрос на регистрацию нового пользователя."""
+
+    email: EmailStr
+    password: str = Field(min_length=8, max_length=128)
+    name: str = Field(min_length=1, max_length=255)
+
+
+class LoginRequest(BaseModel):
+    """Запрос на вход в систему."""
+
+    email: EmailStr
+    password: str
+
+
+class UserInToken(BaseModel):
+    """Минимальная информация о пользователе в JWT токене."""
+
+    id: int
+    email: str
+    name: str
+    plan: str
+    is_verified: bool
+
+    model_config = {"from_attributes": True}
+
+
+class TokenResponse(BaseModel):
+    """Ответ с JWT токеном и данными пользователя."""
+
+    access_token: str
+    token_type: str = "bearer"
+    user: UserInToken

services/api/app/schemas/reports.py

@@ -0,0 +1,46 @@
+"""Схемы для отчётов о плагиате и результатов поиска."""
+
+from datetime import datetime
+
+from pydantic import BaseModel, Field
+
+
+class PlagiarismMatch(BaseModel):
+    """Совпадение фрагмента с источником."""
+
+    fragment: str
+    position_start: int
+    position_end: int
+    similarity: float = Field(ge=0.0, le=100.0, description="Схожесть в процентах")
+    method: str = Field(description="Метод обнаружения: exact, fuzzy, semantic+llm")
+    confidence: float | None = Field(default=None, ge=0.0, le=1.0)
+    reason: str | None = None
+    source_title: str
+    source_url: str | None = None
+    source_db: str = Field(description="База данных: openalex, cyberleninka, arxiv, и т.д.")
+
+
+class PlagiarismReport(BaseModel):
+    """Полный отчёт о плагиате."""
+
+    task_id: str
+    overall_similarity: float = Field(ge=0.0, le=100.0)
+    matches: list[PlagiarismMatch] = Field(default_factory=list)
+    total_fragments: int
+    flagged_fragments: int
+    checked_at: datetime
+
+
+class SearchResult(BaseModel):
+    """Источник в результатах поиска."""
+
+    id: int
+    title: str
+    authors: list[dict] = Field(default_factory=list)
+    year: int | None = None
+    journal: str | None = None
+    abstract: str | None = None
+    url: str | None = None
+    relevance_score: float = Field(ge=0.0, le=1.0)
+    gost_citation: str = Field(description="Отформатированная ГОСТ-цитата")
+    source_db: str

services/api/app/schemas/tasks.py

@@ -0,0 +1,39 @@
+"""Схемы для задач и поиска."""
+
+from datetime import datetime
+from typing import Any
+
+from pydantic import BaseModel, Field
+
+
+class TaskCreate(BaseModel):
+    """Создание задачи."""
+
+    type: str
+    input_data: dict[str, Any] = Field(default_factory=dict)
+
+
+class TaskResponse(BaseModel):
+    """Ответ с информацией о задаче."""
+
+    id: str
+    type: str
+    status: str
+    queue_position: int | None = None
+    eta_seconds: int | None = None
+    input_data: dict[str, Any] = Field(default_factory=dict)
+    result: dict[str, Any] | None = None
+    error: str | None = None
+    created_at: datetime
+
+    model_config = {"from_attributes": True}
+
+
+class SearchRequest(BaseModel):
+    """Запрос на семантический поиск источников."""
+
+    query: str = Field(min_length=3, max_length=1000)
+    lang: str | None = Field(default=None, description="Язык: ru, en или None для всех")
+    year_from: int | None = Field(default=None, ge=1900, le=2100)
+    year_to: int | None = Field(default=None, ge=1900, le=2100)
+    category: str | None = Field(default=None, description="Тематическая категория")