02267d0306
- FastAPI backend: PostGIS estimator + 3 scrapers (Avito/Cian/Yandex)
- Next.js 15 frontend: tradein.html mockup design, basePath=/trade-in
- WeasyPrint PDF (Брусника-style 4-page report)
- Address autocomplete с typo-tolerance + 6 EKB presets
- Изолированный docker stack gendesign-tradein (отдельная postgres БД)
- Caddy inline routes: gendsgn.ru/trade-in/* и /trade-in/api/v1/*
- Forgejo Actions: .forgejo/workflows/deploy-tradein.yml (shell-based GHCR login)
- Триггер только по paths: tradein-mvp/** (не пересекается с deploy.yml)
- Образы: ghcr.io/lekss361/gendesign-tradein-{backend,frontend}:latest
Первый запуск на сервере (вручную, один раз):
- создать /opt/gendesign/tradein-mvp/.env.runtime (postgres pwd, contact email)
- docker network create gendesign_shared (если нет)
- docker compose -p gendesign-tradein up -d
- docker compose -p gendesign exec caddy caddy reload
62 lines
2.4 KiB
Python
62 lines
2.4 KiB
Python
"""Pydantic schemas for Trade-In Estimator.
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POST /api/v1/trade-in/estimate → AggregatedEstimate
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"""
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from __future__ import annotations
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from datetime import date, datetime
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from typing import Literal
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from uuid import UUID
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from pydantic import BaseModel, Field
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class TradeInEstimateInput(BaseModel):
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address: str = Field(min_length=3, max_length=500)
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area_m2: float = Field(gt=10, lt=500)
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rooms: int = Field(ge=0, le=10) # 0 = студия
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floor: int = Field(ge=1, le=100)
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total_floors: int = Field(ge=1, le=100)
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year_built: int | None = Field(default=None, ge=1800, le=2100)
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house_type: Literal["panel", "brick", "monolith", "monolith_brick", "other"] | None = None
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repair_state: Literal["needs_repair", "standard", "good", "excellent"] | None = None
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has_balcony: bool | None = None
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class AnalogLot(BaseModel):
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address: str
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area_m2: float
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rooms: int
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floor: int | None
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total_floors: int | None
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price_rub: int
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price_per_m2: int
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listing_date: date | None
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days_on_market: int | None
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photo_url: str | None = None
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# ── Новые поля (Слой 5.2 — clickable links) ──
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source: str | None = None # 'avito' / 'cian' / 'domklik' / 'rosreestr'
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source_url: str | None = None # ссылка на оригинальное объявление / сделку
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distance_m: int | None = None # расстояние до целевой квартиры в метрах
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class AggregatedEstimate(BaseModel):
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estimate_id: UUID
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median_price_rub: int
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range_low_rub: int
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range_high_rub: int
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median_price_per_m2: int
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confidence: Literal["low", "medium", "high"]
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confidence_explanation: str | None = None # «Найдено 15 аналогов, разброс ±7%»
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n_analogs: int
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period_months: int # 24
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analogs: list[AnalogLot] # top 5-10 listings
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actual_deals: list[AnalogLot] # реальные продажи last 12 mo
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expires_at: datetime
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# ── Дополнительные метаданные ──
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target_address: str | None = None # geocoded full address
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target_lat: float | None = None
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target_lon: float | None = None
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sources_used: list[str] = Field(default_factory=list) # ['avito', 'cian', 'rosreestr']
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data_freshness_minutes: int | None = None # сколько минут назад был самый свежий парсинг
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