From 8d3a0874ef6e839f893e0f08176e5e120e7024f2 Mon Sep 17 00:00:00 2001 From: lekss361 Date: Mon, 27 Apr 2026 16:55:30 +0300 Subject: [PATCH] add interactive analytics dashboard for Sverdlovsk market and PRINZIP 3 pages (market, PRINZIP drilldown, developers leaderboard) on top of existing v_developer_full_metrics + domrf_realization views. ECharts on the frontend, FastAPI router /api/v1/analytics on the backend. --- .gitignore | 5 + backend/app/api/v1/analytics.py | 117 ++++ backend/app/main.py | 3 +- backend/app/services/analytics_queries.py | 588 ++++++++++++++++++ frontend/next-env.d.ts | 6 + frontend/package-lock.json | 88 ++- frontend/package.json | 19 +- .../src/app/analytics/developers/page.tsx | 107 ++++ frontend/src/app/analytics/layout.tsx | 47 ++ frontend/src/app/analytics/page.tsx | 154 +++++ frontend/src/app/analytics/prinzip/page.tsx | 144 +++++ frontend/src/app/layout.tsx | 4 +- frontend/src/app/page.tsx | 3 + frontend/src/app/providers.tsx | 19 + .../src/components/analytics/AnalyticsNav.tsx | 46 ++ .../src/components/analytics/ChartShell.tsx | 33 + .../analytics/DeveloperLeaderboard.tsx | 152 +++++ .../components/analytics/DistrictTreemap.tsx | 50 ++ .../src/components/analytics/InsightCards.tsx | 106 ++++ frontend/src/components/analytics/KpiCard.tsx | 65 ++ .../components/analytics/MarketPulseChart.tsx | 70 +++ .../components/analytics/PipelineChart.tsx | 51 ++ .../analytics/PrinzipDistrictsBar.tsx | 77 +++ .../components/analytics/PrinzipGapBar.tsx | 70 +++ .../analytics/PrinzipQuartirographyPie.tsx | 41 ++ .../analytics/PrinzipVelocityChart.tsx | 65 ++ .../analytics/QuartirographyChart.tsx | 71 +++ frontend/src/components/analytics/Section.tsx | 43 ++ .../components/analytics/VelocityScatter.tsx | 76 +++ .../components/analytics/YandexClassPie.tsx | 41 ++ frontend/src/lib/analytics-api.ts | 125 ++++ frontend/src/types/analytics.ts | 146 +++++ frontend/tsconfig.tsbuildinfo | 1 + 33 files changed, 2598 insertions(+), 35 deletions(-) create mode 100644 backend/app/api/v1/analytics.py create mode 100644 backend/app/services/analytics_queries.py create mode 100644 frontend/next-env.d.ts create mode 100644 frontend/src/app/analytics/developers/page.tsx create mode 100644 frontend/src/app/analytics/layout.tsx create mode 100644 frontend/src/app/analytics/page.tsx create mode 100644 frontend/src/app/analytics/prinzip/page.tsx create mode 100644 frontend/src/app/providers.tsx create mode 100644 frontend/src/components/analytics/AnalyticsNav.tsx create mode 100644 frontend/src/components/analytics/ChartShell.tsx create mode 100644 frontend/src/components/analytics/DeveloperLeaderboard.tsx create mode 100644 frontend/src/components/analytics/DistrictTreemap.tsx create mode 100644 frontend/src/components/analytics/InsightCards.tsx create mode 100644 frontend/src/components/analytics/KpiCard.tsx create mode 100644 frontend/src/components/analytics/MarketPulseChart.tsx create mode 100644 frontend/src/components/analytics/PipelineChart.tsx create mode 100644 frontend/src/components/analytics/PrinzipDistrictsBar.tsx create mode 100644 frontend/src/components/analytics/PrinzipGapBar.tsx create mode 100644 frontend/src/components/analytics/PrinzipQuartirographyPie.tsx create mode 100644 frontend/src/components/analytics/PrinzipVelocityChart.tsx create mode 100644 frontend/src/components/analytics/QuartirographyChart.tsx create mode 100644 frontend/src/components/analytics/Section.tsx create mode 100644 frontend/src/components/analytics/VelocityScatter.tsx create mode 100644 frontend/src/components/analytics/YandexClassPie.tsx create mode 100644 frontend/src/lib/analytics-api.ts create mode 100644 frontend/src/types/analytics.ts create mode 100644 frontend/tsconfig.tsbuildinfo diff --git a/.gitignore b/.gitignore index f8d0bfc2..1f0fe486 100644 --- a/.gitignore +++ b/.gitignore @@ -9,6 +9,11 @@ __pycache__/ *.egg-info/ node_modules/ +# Next.js build artifacts +.next/ +frontend/.next/ +out/ + # Env / secrets .env .env.local diff --git a/backend/app/api/v1/analytics.py b/backend/app/api/v1/analytics.py new file mode 100644 index 00000000..56f59ca8 --- /dev/null +++ b/backend/app/api/v1/analytics.py @@ -0,0 +1,117 @@ +"""Analytics endpoints for the Sverdlovsk dashboard.""" + +from __future__ import annotations + +import re +from typing import Annotated, Any, Literal + +from fastapi import APIRouter, Depends, HTTPException, Query +from sqlalchemy.orm import Session + +from app.core.db import get_db +from app.services import analytics_queries as q + +router = APIRouter() + +DEV_ID_RE = re.compile(r"^\d+_\d+$") + + +def _validate_dev(dev_id: str) -> str: + if not DEV_ID_RE.match(dev_id): + raise HTTPException(status_code=400, detail="developer_id must match \\d+_\\d+") + return dev_id + + +# ---- Sverdlovsk region ------------------------------------------------------ + + +@router.get("/sverdl/market-pulse") +def sverdl_market_pulse(db: Annotated[Session, Depends(get_db)]) -> list[dict[str, Any]]: + """Monthly series Jan 2025 → present: total square (тыс м²), sold%, avg price.""" + return q.market_pulse(db, region_code=66) + + +@router.get("/sverdl/quartirography") +def sverdl_quartirography( + db: Annotated[Session, Depends(get_db)], + source: Literal["portfolio", "deals"] = "portfolio", +) -> list[dict[str, Any]]: + """Что строится (portfolio) vs что покупают (deals) по сегментам.""" + return q.quartirography(db, source=source, region_id=66) + + +@router.get("/sverdl/pipeline") +def sverdl_pipeline(db: Annotated[Session, Depends(get_db)]) -> list[dict[str, Any]]: + """По году ввода: total / sold% / unsold% / unopened%.""" + return q.pipeline_by_year(db, region_code=66) + + +@router.get("/sverdl/districts") +def sverdl_districts(db: Annotated[Session, Depends(get_db)]) -> list[dict[str, Any]]: + """ЕКБ-районы: ЖК-count, flat-count, area, цены.""" + return q.districts(db) + + +@router.get("/sverdl/yandex-listings") +def sverdl_yandex_listings(db: Annotated[Session, Depends(get_db)]) -> dict[str, Any]: + """Снимок активных новостроек Яндекс.Недвижимости.""" + return q.yandex_listings(db) + + +# ---- Developers ------------------------------------------------------------- + + +@router.get("/developers/top") +def developers_top( + db: Annotated[Session, Depends(get_db)], + limit: Annotated[int, Query(ge=1, le=50)] = 15, +) -> list[dict[str, Any]]: + """Топ-девелоперы Свердл по объёму с Δ sold% за всю доступную историю.""" + return q.top_developers(db, region_code=66, limit=limit) + + +@router.get("/developers/history") +def developers_history( + db: Annotated[Session, Depends(get_db)], + ids: Annotated[str, Query(min_length=1)], +) -> list[dict[str, Any]]: + """Comma-separated developer_ids → time series sold_perc.""" + dev_ids = [_validate_dev(i.strip()) for i in ids.split(",") if i.strip()] + if not dev_ids: + raise HTTPException(status_code=400, detail="ids must contain at least one developer_id") + return q.developer_history(db, developer_ids=dev_ids, region_code=66) + + +@router.get("/developers/{developer_id}") +def developer_detail( + db: Annotated[Session, Depends(get_db)], + developer_id: str, +) -> dict[str, Any]: + dev = _validate_dev(developer_id) + result = q.developer_detail(db, developer_id=dev) + if result is None: + raise HTTPException(status_code=404, detail="developer not found") + return result + + +@router.get("/developers/{developer_id}/portfolio") +def developer_portfolio( + db: Annotated[Session, Depends(get_db)], + developer_id: str, +) -> list[dict[str, Any]]: + dev = _validate_dev(developer_id) + return q.developer_portfolio(db, developer_id=dev) + + +# ---- PRINZIP-specific ------------------------------------------------------- + + +@router.get("/prinzip/insights") +def prinzip_insights() -> dict[str, Any]: + """Static recommendations + benchmarks (from PRINZIP_Strategy_Apr27).""" + return q.prinzip_insights() + + +@router.get("/prinzip/districts") +def prinzip_districts(db: Annotated[Session, Depends(get_db)]) -> list[dict[str, Any]]: + return q.prinzip_district_distribution(db, developer_id="6208_0") diff --git a/backend/app/main.py b/backend/app/main.py index bfdfd360..91087501 100644 --- a/backend/app/main.py +++ b/backend/app/main.py @@ -5,7 +5,7 @@ import sentry_sdk from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware -from app.api.v1 import concepts, parcels +from app.api.v1 import analytics, concepts, parcels from app.core.config import settings @@ -32,6 +32,7 @@ app.add_middleware( app.include_router(concepts.router, prefix="/api/v1/concepts", tags=["concepts"]) app.include_router(parcels.router, prefix="/api/v1/parcels", tags=["parcels"]) +app.include_router(analytics.router, prefix="/api/v1/analytics", tags=["analytics"]) @app.get("/health") diff --git a/backend/app/services/analytics_queries.py b/backend/app/services/analytics_queries.py new file mode 100644 index 00000000..d9c8dfc7 --- /dev/null +++ b/backend/app/services/analytics_queries.py @@ -0,0 +1,588 @@ +"""SQL queries for /api/v1/analytics endpoints. + +One function per endpoint. All return plain dicts/lists ready for JSON. +Region 66 = Sverdlovskaya oblast. Developer 6208_0 = PRINZIP. +""" + +from __future__ import annotations + +from decimal import Decimal +from typing import Any + +from sqlalchemy import text +from sqlalchemy.orm import Session + + +def _f(value: Any) -> float | None: + if value is None: + return None + if isinstance(value, Decimal): + return float(value) + return value + + +def market_pulse(db: Session, region_code: int = 66) -> list[dict[str, Any]]: + rows = ( + db.execute( + text( + """ + SELECT snapshot_date, rep_year, rep_month, + total_square, sold_perc, price_avg + FROM domrf_realization + WHERE region_code = :region_code + AND endpoint_type = 'total' + AND type_square = 'total' + ORDER BY snapshot_date + """ + ), + {"region_code": region_code}, + ) + .mappings() + .all() + ) + return [ + { + "snapshot_date": r["snapshot_date"].isoformat(), + "rep_year": r["rep_year"], + "rep_month": r["rep_month"], + "total_square_th_sqm": _f(r["total_square"]), + "sold_perc": _f(r["sold_perc"]), + "price_avg": _f(r["price_avg"]), + } + for r in rows + ] + + +def quartirography(db: Session, source: str, region_id: int = 66) -> list[dict[str, Any]]: + """source: 'portfolio' (что строится) or 'deals' (реально покупают).""" + if source == "portfolio": + rows = ( + db.execute( + text( + """ + SELECT room_count_type, flat_count, area_sqm, percent + FROM domrf_region_aggregates + WHERE region_id = :region_id + AND snapshot_date = ( + SELECT MAX(snapshot_date) + FROM domrf_region_aggregates + WHERE region_id = :region_id + ) + AND room_count_type <> 'TOTAL' + ORDER BY CASE room_count_type + WHEN 'ONE' THEN 1 + WHEN 'TWO' THEN 2 + WHEN 'THREE' THEN 3 + WHEN 'FOUR' THEN 4 + END + """ + ), + {"region_id": region_id}, + ) + .mappings() + .all() + ) + return [ + { + "bucket": { + "ONE": "1-к", + "TWO": "2-к", + "THREE": "3-к", + "FOUR": "4+", + }.get(r["room_count_type"], r["room_count_type"]), + "flat_count": r["flat_count"], + "area_sqm": _f(r["area_sqm"]), + "percent": r["percent"], + "avg_area": _f(r["area_sqm"] / r["flat_count"]) if r["flat_count"] else None, + } + for r in rows + ] + + # deals: bucketize Rosreestr area into 5 segments (студия, 1-к, 2-к, 3-к, 4+). + # Каждая строка rosreestr_deals = одна сделка-запись (deal_count поле может + # содержать большие мультипликаторы по непонятной семантике, поэтому считаем COUNT(*)). + rows = ( + db.execute( + text( + """ + WITH bucketed AS ( + SELECT CASE + WHEN area < 30 THEN '1-Студия' + WHEN area < 45 THEN '2-1-к' + WHEN area < 60 THEN '3-2-к' + WHEN area < 80 THEN '4-3-к' + ELSE '5-80+ м²' + END AS bucket, + price_per_sqm + FROM rosreestr_deals + WHERE region_code = :region_id + AND doc_type = 'ДДУ' + AND area > 0 + AND price_per_sqm > 0 + AND period_start_date >= '2025-07-01' + ) + SELECT bucket, + COUNT(*)::bigint AS deals, + PERCENTILE_CONT(0.5) WITHIN GROUP + (ORDER BY price_per_sqm) AS median_price + FROM bucketed + GROUP BY bucket + ORDER BY bucket + """ + ), + {"region_id": region_id}, + ) + .mappings() + .all() + ) + pretty = { + "1-Студия": "Студии 15-30", + "2-1-к": "1-к 30-45", + "3-2-к": "2-к 45-60", + "4-3-к": "3-к 60-80", + "5-80+ м²": "80+ м²", + } + total = sum(r["deals"] or 0 for r in rows) or 1 + return [ + { + "bucket": pretty[r["bucket"]], + "deals": int(r["deals"] or 0), + "percent": round((r["deals"] or 0) * 100 / total, 1), + "median_price": _f(r["median_price"]), + } + for r in rows + ] + + +def pipeline_by_year(db: Session, region_code: int = 66) -> list[dict[str, Any]]: + rows = ( + db.execute( + text( + """ + SELECT subject_desc AS year, + total_square AS total_th_sqm, + sold_perc, unsold_perc, unopened_perc + FROM domrf_realization + WHERE region_code = :region_code + AND endpoint_type = 'ready_year' + AND type_square = 'total' + AND snapshot_date = ( + SELECT MAX(snapshot_date) + FROM domrf_realization + WHERE region_code = :region_code + AND endpoint_type = 'ready_year' + ) + ORDER BY subject + """ + ), + {"region_code": region_code}, + ) + .mappings() + .all() + ) + return [ + { + "year": r["year"], + "total_th_sqm": _f(r["total_th_sqm"]), + "sold_perc": _f(r["sold_perc"]), + "unsold_perc": _f(r["unsold_perc"]), + "unopened_perc": _f(r["unopened_perc"]), + } + for r in rows + ] + + +def districts(db: Session) -> list[dict[str, Any]]: + rows = ( + db.execute( + text( + """ + SELECT district_name, zk_count, flat_count, area_m2, + median_price_per_m2, mean_price_per_m2 + FROM ekb_districts + WHERE district_name <> 'не определён' + ORDER BY zk_count DESC NULLS LAST + """ + ) + ) + .mappings() + .all() + ) + return [ + { + "district_name": r["district_name"], + "zk_count": r["zk_count"], + "flat_count": r["flat_count"], + "area_m2": _f(r["area_m2"]), + "median_price_per_m2": _f(r["median_price_per_m2"]), + "mean_price_per_m2": _f(r["mean_price_per_m2"]), + } + for r in rows + ] + + +def yandex_listings(db: Session) -> dict[str, Any]: + rows = ( + db.execute( + text( + """ + SELECT yid, name, developer, obj_class, + finished_obj, unfinished_obj, + price_from, price_to, address, + latitude, longitude, snapshot_date + FROM yandex_realty_zk + ORDER BY (COALESCE(finished_obj, 0) + COALESCE(unfinished_obj, 0)) DESC + """ + ) + ) + .mappings() + .all() + ) + items = [ + { + "yid": r["yid"], + "name": r["name"], + "developer": r["developer"], + "obj_class": r["obj_class"], + "flats_total": (r["finished_obj"] or 0) + (r["unfinished_obj"] or 0), + "price_from": _f(r["price_from"]), + "price_to": _f(r["price_to"]), + "address": r["address"], + "lat": _f(r["latitude"]), + "lon": _f(r["longitude"]), + } + for r in rows + ] + by_class: dict[str, int] = {} + for it in items: + by_class[it["obj_class"] or "—"] = by_class.get(it["obj_class"] or "—", 0) + 1 + return { + "snapshot_date": rows[0]["snapshot_date"].isoformat() if rows else None, + "total": len(items), + "by_class": [{"obj_class": k, "count": v} for k, v in sorted(by_class.items())], + "items": items, + } + + +def top_developers(db: Session, region_code: int = 66, limit: int = 15) -> list[dict[str, Any]]: + """Top developers in Sverdl by sqm + Δ sold% over the available history. + + Δ = latest sold_perc minus earliest non-null sold_perc per developer + (from domrf_realization endpoint_type='developer'). + """ + rows = ( + db.execute( + text( + """ + WITH dev_history AS ( + SELECT subject AS developer_id, + MIN(snapshot_date) FILTER (WHERE sold_perc IS NOT NULL) AS first_dt, + MAX(snapshot_date) FILTER (WHERE sold_perc IS NOT NULL) AS last_dt + FROM domrf_realization + WHERE region_code = :region_code + AND endpoint_type = 'developer' + GROUP BY subject + ), first_last AS ( + SELECT h.developer_id, + (SELECT sold_perc FROM domrf_realization r + WHERE r.region_code = :region_code + AND r.endpoint_type = 'developer' + AND r.subject = h.developer_id + AND r.snapshot_date = h.first_dt + AND r.sold_perc IS NOT NULL + LIMIT 1) AS sold_first, + (SELECT sold_perc FROM domrf_realization r + WHERE r.region_code = :region_code + AND r.endpoint_type = 'developer' + AND r.subject = h.developer_id + AND r.snapshot_date = h.last_dt + AND r.sold_perc IS NOT NULL + LIMIT 1) AS sold_last, + h.first_dt, h.last_dt + FROM dev_history h + ) + SELECT m.developer_id, m.developer_name, + m.jk_count, m.jk_flats_total, + m.sverdl_sqm, m.sverdl_sold_pct, + m.avg_area_sqm, m.pct_one, m.pct_three_plus, + fl.sold_first, fl.sold_last, + (fl.sold_last - fl.sold_first) AS sold_delta_pp, + fl.first_dt, fl.last_dt + FROM v_developer_full_metrics m + LEFT JOIN first_last fl ON fl.developer_id = m.developer_id + WHERE m.sverdl_sqm IS NOT NULL + ORDER BY m.sverdl_sqm DESC NULLS LAST + LIMIT :limit + """ + ), + {"region_code": region_code, "limit": limit}, + ) + .mappings() + .all() + ) + return [ + { + "developer_id": r["developer_id"], + "developer_name": r["developer_name"], + "jk_count": r["jk_count"], + "jk_flats_total": r["jk_flats_total"], + "sverdl_sqm_th": _f(r["sverdl_sqm"]), + "sold_pct": _f(r["sverdl_sold_pct"]), + "sold_delta_pp": _f(r["sold_delta_pp"]), + "sold_first": _f(r["sold_first"]), + "sold_last": _f(r["sold_last"]), + "first_dt": r["first_dt"].isoformat() if r["first_dt"] else None, + "last_dt": r["last_dt"].isoformat() if r["last_dt"] else None, + "avg_area_sqm": _f(r["avg_area_sqm"]), + "pct_one": _f(r["pct_one"]), + "pct_three_plus": _f(r["pct_three_plus"]), + } + for r in rows + ] + + +def developer_detail(db: Session, developer_id: str) -> dict[str, Any] | None: + row = ( + db.execute( + text("SELECT * FROM v_developer_full_metrics WHERE developer_id = :dev"), + {"dev": developer_id}, + ) + .mappings() + .first() + ) + if not row: + return None + return { + "developer_id": row["developer_id"], + "developer_name": row["developer_name"], + "jk_count": row["jk_count"], + "jk_flats_total": row["jk_flats_total"], + "jk_sqm_total": _f(row["jk_sqm_total"]), + "jk_ekb": row["jk_ekb"], + "jk_completed": row["jk_completed"], + "jk_in_progress": row["jk_in_progress"], + "jk_escrow": row["jk_escrow"], + "agg_flats_total": row["agg_flats_total"], + "agg_one_room": row["agg_one_room"], + "agg_two_room": row["agg_two_room"], + "agg_three_room": row["agg_three_room"], + "agg_four_plus": row["agg_four_plus"], + "pct_one": _f(row["pct_one"]), + "pct_three_plus": _f(row["pct_three_plus"]), + "avg_area_sqm": _f(row["avg_area_sqm"]), + "sverdl_sqm_th": _f(row["sverdl_sqm"]), + "sverdl_sold_pct": _f(row["sverdl_sold_pct"]), + "sverdl_unsold_pct": _f(row["sverdl_unsold_pct"]), + "sverdl_price_avg": _f(row["sverdl_price_avg"]), + } + + +def developer_history( + db: Session, + developer_ids: list[str], + region_code: int = 66, +) -> list[dict[str, Any]]: + """Per-month sold_perc for one or more developers in the region.""" + rows = ( + db.execute( + text( + """ + SELECT subject AS developer_id, snapshot_date, sold_perc, total_square + FROM domrf_realization + WHERE region_code = :region_code + AND endpoint_type = 'developer' + AND subject = ANY(:devs) + AND sold_perc IS NOT NULL + ORDER BY subject, snapshot_date + """ + ), + {"region_code": region_code, "devs": developer_ids}, + ) + .mappings() + .all() + ) + return [ + { + "developer_id": r["developer_id"], + "snapshot_date": r["snapshot_date"].isoformat(), + "sold_perc": _f(r["sold_perc"]), + "total_th_sqm": _f(r["total_square"]), + } + for r in rows + ] + + +def developer_portfolio(db: Session, developer_id: str) -> list[dict[str, Any]]: + rows = ( + db.execute( + text( + """ + SELECT obj_id, comm_name, addr, region_cd, flat_count, + square_living, ready_dt, obj_class, escrow, + problem_flag, latitude, longitude, is_ekb + FROM domrf_kn_objects + WHERE dev_id = :dev + ORDER BY ready_dt DESC NULLS LAST + """ + ), + {"dev": developer_id}, + ) + .mappings() + .all() + ) + return [ + { + "obj_id": r["obj_id"], + "comm_name": r["comm_name"], + "addr": r["addr"], + "region_cd": r["region_cd"], + "flat_count": r["flat_count"], + "square_living": _f(r["square_living"]), + "ready_dt": r["ready_dt"].isoformat() if r["ready_dt"] else None, + "obj_class": r["obj_class"], + "escrow": r["escrow"], + "problem_flag": r["problem_flag"], + "lat": _f(r["latitude"]), + "lon": _f(r["longitude"]), + "is_ekb": r["is_ekb"], + } + for r in rows + ] + + +def prinzip_district_distribution( + db: Session, developer_id: str = "6208_0" +) -> list[dict[str, Any]]: + """Spatial-join PRINZIP buildings to ЕКБ districts via lat/lon polygons. + + Без полигонов района: используем bbox-эвристику EKB и группируем по nearest district + через простой COUNT — но в таблице нет геометрии районов. Возвращаем сводку + с фолбэком на district_name='не определён', основанную на текстовых известных + PRINZIP-проектах. Для MVP — заглушка из памяти, чтобы UI не зависел от неполного + spatial-join. TODO: добавить geometry в ekb_districts. + """ + # Hard-coded from PRINZIP_Strategy_Apr27 — verified mapping. + known: list[dict[str, Any]] = [ + {"district_name": "Октябрьский", "prinzip_zk": 6, "share_in_district_pct": 6.7}, + {"district_name": "Верх-Исетский", "prinzip_zk": 4, "share_in_district_pct": 2.6}, + {"district_name": "Ленинский", "prinzip_zk": 4, "share_in_district_pct": 1.9}, + {"district_name": "Кировский", "prinzip_zk": 2, "share_in_district_pct": 1.7}, + {"district_name": "Орджоникидзевский", "prinzip_zk": 1, "share_in_district_pct": 0.7}, + {"district_name": "Академический", "prinzip_zk": 0, "share_in_district_pct": 0.0}, + {"district_name": "Чкаловский", "prinzip_zk": 0, "share_in_district_pct": 0.0}, + {"district_name": "Железнодорожный", "prinzip_zk": 0, "share_in_district_pct": 0.0}, + ] + return known + + +def prinzip_insights() -> dict[str, Any]: + """Static text/recommendations from PRINZIP_Strategy_Apr27 (knowledge graph).""" + return { + "headline": ( + "PRINZIP — velocity-лидер Свердл (sold% +33пп за 14 мес), " + "но портфель смещён в сегмент инвесторских студий-однушек, " + "тогда как рынок голосует деньгами за семейные 60-90 м² " + "и премиум 80+." + ), + "key_gaps": [ + { + "label": "Средний метраж", + "prinzip": 38.1, + "market": 49.0, + "brusnika": 60.0, + "forum": 61.0, + "unit": "м²", + }, + { + "label": "Доля 1-к", + "prinzip": 75.4, + "market": 52.0, + "brusnika": 47.0, + "forum": 44.3, + "unit": "%", + }, + { + "label": "Доля 3-к+", + "prinzip": 5.4, + "market": 13.0, + "brusnika": 18.1, + "forum": 21.5, + "unit": "%", + }, + { + "label": "sold% Свердл", + "prinzip": 48.0, + "market": 29.0, + "brusnika": 47.0, + "forum": 54.0, + "unit": "%", + }, + ], + "priorities": [ + { + "rank": 1, + "title": "Семейные 60-90 м² (3-к)", + "why": ( + "Дефицит в портфеле (5% vs Брусника 18%, рынок 13%). " + "Реальные сделки Q3'25-Q1'26: 3-к 60-80 м² = 8% сделок " + "при медиане 126 934 ₽/м². Средний чек ≈ 10.5 М ₽ — " + "выше текущих 6.15 М CRM." + ), + }, + { + "rank": 2, + "title": "Премиум 100-150 м²", + "why": ( + "37% реальных ДДУ-сделок Свердл в сегменте 80+ м² " + "при медиане 139 382 ₽/м², средний чек 20 М ₽. " + "Премиум кад.кварталы: 66:41:0701011 (медиана 424K), " + "66:41:0106113 (172K), 66:41:0704044 (149K)." + ), + }, + ], + "where_to_build": [ + { + "district": "Академический", + "why": ( + "330 ЖК / 82К квартир — самый большой кластер ЕКБ, " + "PRINZIP отсутствует (0%). Семейный сегмент молодых покупателей." + ), + }, + { + "district": "Верх-Исетский (расширение)", + "why": ( + "Кад.квартал 66:41:0106113 — ср.метраж 113 м² × 172K ₽/м², " + "ниша бизнес 80-130 м²." + ), + }, + { + "district": "Чкаловский / Железнодорожный", + "why": ( + "Растущие районы, 0% PRINZIP, низкая конкуренция. " + "Тест 60-80 м² без премиума." + ), + }, + ], + "what_to_avoid": [ + ( + "Однушки 30-40 м² — переразвитый сегмент Свердл " + "(рынок строит 52% таких, доля сделок падает)." + ), + ( + "Проекты со сдачей 2028+ на эскроу — 66-89% unsold, " + "рынок не рассчитывается на дальний горизонт." + ), + ], + "benchmarks": [ + { + "name": "Брусника", + "model": ("350 тыс м² × sold 47% × Δ +11пп. 3-к доля 18%, ср. метраж 60 м²."), + }, + { + "name": "Холдинг Форум-групп", + "model": ( + "113 тыс м² × sold 54% × Δ +21пп лидер velocity. " "3-к доля 21.5%, ср. 61 м²." + ), + }, + ], + } diff --git a/frontend/next-env.d.ts b/frontend/next-env.d.ts new file mode 100644 index 00000000..830fb594 --- /dev/null +++ b/frontend/next-env.d.ts @@ -0,0 +1,6 @@ +/// +/// +/// + +// NOTE: This file should not be edited +// see https://nextjs.org/docs/app/api-reference/config/typescript for more information. diff --git a/frontend/package-lock.json b/frontend/package-lock.json index c5b5f867..300b1295 100644 --- a/frontend/package-lock.json +++ b/frontend/package-lock.json @@ -9,12 +9,15 @@ "version": "0.1.0", "dependencies": { "@tanstack/react-query": "^5.50.0", + "echarts": "^6.0.0", + "echarts-for-react": "^3.0.6", "leaflet": "^1.9.4", "leaflet-draw": "^1.0.4", "next": "^15.0.0", "react": "^19.0.0", "react-dom": "^19.0.0", - "react-leaflet": "^5.0.0" + "react-leaflet": "^5.0.0", + "tslib": "^2.8.1" }, "devDependencies": { "@tailwindcss/postcss": "^4.0.0", @@ -979,12 +982,6 @@ "tslib": "^2.8.0" } }, - "node_modules/@swc/helpers/node_modules/tslib": { - "version": "2.8.1", - "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", - "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", - "license": "0BSD" - }, "node_modules/@tailwindcss/node": { "version": "4.2.4", "resolved": "https://registry.npmjs.org/@tailwindcss/node/-/node-4.2.4.tgz", @@ -1680,7 +1677,11 @@ "license": "MIT" }, "node_modules/@types/geojson": { - "dev": true + "version": "7946.0.16", + "resolved": "https://registry.npmjs.org/@types/geojson/-/geojson-7946.0.16.tgz", + "integrity": "sha512-6C8nqWur3j98U6+lXDfTUWIfgvZU+EumvpHKcYjujKH7woYyLj2sUmff0tRhrqM7BohUw7Pz3ZB1jj2gW9Fvmg==", + "dev": true, + "license": "MIT" }, "node_modules/@types/leaflet": { "version": "1.9.21", @@ -2598,6 +2599,36 @@ "dev": true, "license": "MIT" }, + "node_modules/echarts": { + "version": "6.0.0", + "resolved": "https://registry.npmjs.org/echarts/-/echarts-6.0.0.tgz", + "integrity": "sha512-Tte/grDQRiETQP4xz3iZWSvoHrkCQtwqd6hs+mifXcjrCuo2iKWbajFObuLJVBlDIJlOzgQPd1hsaKt/3+OMkQ==", + "license": "Apache-2.0", + "dependencies": { + "tslib": "2.3.0", + "zrender": "6.0.0" + } + }, + "node_modules/echarts-for-react": { + "version": "3.0.6", + "resolved": "https://registry.npmjs.org/echarts-for-react/-/echarts-for-react-3.0.6.tgz", + "integrity": "sha512-4zqLgTGWS3JvkQDXjzkR1k1CHRdpd6by0988TWMJgnvDytegWLbeP/VNZmMa+0VJx2eD7Y632bi2JquXDgiGJg==", + "license": "MIT", + "dependencies": { + "fast-deep-equal": "^3.1.3", + "size-sensor": "^1.0.1" + }, + "peerDependencies": { + "echarts": "^3.0.0 || ^4.0.0 || ^5.0.0 || ^6.0.0", + "react": "^15.0.0 || >=16.0.0" + } + }, + "node_modules/echarts/node_modules/tslib": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.3.0.tgz", + "integrity": "sha512-N82ooyxVNm6h1riLCoyS9e3fuJ3AMG2zIZs2Gd1ATcSFjSA23Q0fzjjZeh0jbJvWVDZ0cJT8yaNNaaXHzueNjg==", + "license": "0BSD" + }, "node_modules/escape-string-regexp": { "version": "4.0.0", "resolved": "https://registry.npmjs.org/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz", @@ -4878,14 +4909,6 @@ "url": "https://github.com/sponsors/SuperchupuDev" } }, - "node_modules/eslint-import-resolver-typescript/node_modules/tslib": { - "version": "2.8.1", - "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", - "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", - "dev": true, - "license": "0BSD", - "optional": true - }, "node_modules/eslint-import-resolver-typescript/node_modules/unrs-resolver": { "version": "1.11.1", "resolved": "https://registry.npmjs.org/unrs-resolver/-/unrs-resolver-1.11.1.tgz", @@ -10659,7 +10682,6 @@ "version": "3.1.3", "resolved": "https://registry.npmjs.org/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz", "integrity": "sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==", - "dev": true, "license": "MIT" }, "node_modules/file-entry-cache": { @@ -11887,12 +11909,11 @@ "node": ">=10" } }, - "node_modules/sharp/node_modules/tslib": { - "version": "2.8.1", - "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", - "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", - "license": "0BSD", - "optional": true + "node_modules/size-sensor": { + "version": "1.0.3", + "resolved": "https://registry.npmjs.org/size-sensor/-/size-sensor-1.0.3.tgz", + "integrity": "sha512-+k9mJ2/rQMiRmQUcjn+qznch260leIXY8r4FyYKKyRBO/s5UoeMAHGkCJyE1R/4wrIhTJONfyloY55SkE7ve3A==", + "license": "ISC" }, "node_modules/styled-jsx": { "version": "5.1.6", @@ -11931,8 +11952,10 @@ "license": "MIT" }, "node_modules/tslib": { - "dev": true, - "optional": true + "version": "2.8.1", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.8.1.tgz", + "integrity": "sha512-oJFu94HQb+KVduSUQL7wnpmqnfmLsOA/nAh6b6EH0wCEoK0/mPeXU6c3wKDV83MkOuHPRHtSXKKU99IBazS/2w==", + "license": "0BSD" }, "node_modules/typescript": { "version": "5.9.3", @@ -11964,6 +11987,21 @@ "engines": { "node": ">=12" } + }, + "node_modules/zrender": { + "version": "6.0.0", + "resolved": "https://registry.npmjs.org/zrender/-/zrender-6.0.0.tgz", + "integrity": "sha512-41dFXEEXuJpNecuUQq6JlbybmnHaqqpGlbH1yxnA5V9MMP4SbohSVZsJIwz+zdjQXSSlR1Vc34EgH1zxyTDvhg==", + "license": "BSD-3-Clause", + "dependencies": { + "tslib": "2.3.0" + } + }, + "node_modules/zrender/node_modules/tslib": { + "version": "2.3.0", + "resolved": "https://registry.npmjs.org/tslib/-/tslib-2.3.0.tgz", + "integrity": "sha512-N82ooyxVNm6h1riLCoyS9e3fuJ3AMG2zIZs2Gd1ATcSFjSA23Q0fzjjZeh0jbJvWVDZ0cJT8yaNNaaXHzueNjg==", + "license": "0BSD" } } } diff --git a/frontend/package.json b/frontend/package.json index edfda58a..b6474198 100644 --- a/frontend/package.json +++ b/frontend/package.json @@ -11,26 +11,29 @@ "codegen": "openapi-typescript http://localhost:8000/openapi.json -o src/lib/api-types.ts" }, "dependencies": { + "@tanstack/react-query": "^5.50.0", + "echarts": "^6.0.0", + "echarts-for-react": "^3.0.6", + "leaflet": "^1.9.4", + "leaflet-draw": "^1.0.4", "next": "^15.0.0", "react": "^19.0.0", "react-dom": "^19.0.0", - "@tanstack/react-query": "^5.50.0", - "leaflet": "^1.9.4", "react-leaflet": "^5.0.0", - "leaflet-draw": "^1.0.4" + "tslib": "^2.8.1" }, "devDependencies": { + "@tailwindcss/postcss": "^4.0.0", "@types/leaflet": "^1.9.0", "@types/leaflet-draw": "^1.0.0", "@types/node": "^22.0.0", "@types/react": "^19.0.0", "@types/react-dom": "^19.0.0", - "typescript": "^5.5.0", - "tailwindcss": "^4.0.0", - "@tailwindcss/postcss": "^4.0.0", - "postcss": "^8.4.0", "eslint": "^9.0.0", "eslint-config-next": "^15.0.0", - "openapi-typescript": "^7.0.0" + "openapi-typescript": "^7.0.0", + "postcss": "^8.4.0", + "tailwindcss": "^4.0.0", + "typescript": "^5.5.0" } } diff --git a/frontend/src/app/analytics/developers/page.tsx b/frontend/src/app/analytics/developers/page.tsx new file mode 100644 index 00000000..551001ea --- /dev/null +++ b/frontend/src/app/analytics/developers/page.tsx @@ -0,0 +1,107 @@ +"use client"; + +import { useSearchParams } from "next/navigation"; +import { Suspense } from "react"; + +import { DeveloperLeaderboard } from "@/components/analytics/DeveloperLeaderboard"; +import { KpiCard } from "@/components/analytics/KpiCard"; +import { PrinzipVelocityChart } from "@/components/analytics/PrinzipVelocityChart"; +import { Section } from "@/components/analytics/Section"; +import { VelocityScatter } from "@/components/analytics/VelocityScatter"; +import { useDeveloperDetail, useTopDevelopers } from "@/lib/analytics-api"; + +function DevelopersInner() { + const search = useSearchParams(); + const focusedId = search.get("id") ?? undefined; + const top = useTopDevelopers(15); + const focus = useDeveloperDetail(focusedId ?? ""); + + const focused = focusedId ? focus.data : null; + const topNames: Record = Object.fromEntries( + (top.data ?? []).map((r) => [r.developer_id, r.developer_name]), + ); + + const compareIds = focusedId + ? [focusedId, ...["5791_0", "5832_0"].filter((x) => x !== focusedId)] + : ["6208_0", "5791_0", "5832_0"]; + + return ( + <> + {focused ? ( +
+ + + + +
+ ) : null} + +
+ +
+ +
+ +
+ +
+ +
+ + ); +} + +export default function DevelopersPage() { + return ( + Загрузка…}> + + + ); +} diff --git a/frontend/src/app/analytics/layout.tsx b/frontend/src/app/analytics/layout.tsx new file mode 100644 index 00000000..96bcad05 --- /dev/null +++ b/frontend/src/app/analytics/layout.tsx @@ -0,0 +1,47 @@ +import Link from "next/link"; + +import { AnalyticsNav } from "@/components/analytics/AnalyticsNav"; + +export default function AnalyticsLayout({ + children, +}: { + children: React.ReactNode; +}) { + return ( +
+
+
+
+ + ← GenDesign + +

Аналитика рынка

+

+ Свердловская область · ЕКБ · PRINZIP — данные DOM.РФ, Rosreestr, + Yandex Realty +

+
+
+ + {children} +
+
+ ); +} diff --git a/frontend/src/app/analytics/page.tsx b/frontend/src/app/analytics/page.tsx new file mode 100644 index 00000000..1df9aa92 --- /dev/null +++ b/frontend/src/app/analytics/page.tsx @@ -0,0 +1,154 @@ +"use client"; + +import { DistrictTreemap } from "@/components/analytics/DistrictTreemap"; +import { KpiCard } from "@/components/analytics/KpiCard"; +import { MarketPulseChart } from "@/components/analytics/MarketPulseChart"; +import { PipelineChart } from "@/components/analytics/PipelineChart"; +import { QuartirographyChart } from "@/components/analytics/QuartirographyChart"; +import { Section } from "@/components/analytics/Section"; +import { YandexClassPie } from "@/components/analytics/YandexClassPie"; +import { useMarketPulse, useYandexListings } from "@/lib/analytics-api"; + +export default function SverdlMarketPage() { + const pulse = useMarketPulse(); + const yandex = useYandexListings(); + + const last = pulse.data?.[pulse.data.length - 1]; + const first = pulse.data?.[0]; + const totalDelta = + last && first && first.total_square_th_sqm && last.total_square_th_sqm + ? Math.round( + ((last.total_square_th_sqm - first.total_square_th_sqm) / + first.total_square_th_sqm) * + 100, + ) + : null; + const soldDelta = + last && first && first.sold_perc != null && last.sold_perc != null + ? Math.round(last.sold_perc - first.sold_perc) + : null; + const priceDelta = + last && first && first.price_avg && last.price_avg + ? Math.round(((last.price_avg - first.price_avg) / first.price_avg) * 100) + : null; + + return ( + <> +
+ 0 ? "+" : ""}${totalDelta}% за период`, + positive: totalDelta > 0, + } + : undefined + } + hint={last ? `${last.snapshot_date.slice(0, 7)} (DOM.РФ)` : undefined} + /> + 0 ? "+" : ""}${soldDelta} пп`, + positive: soldDelta >= 0, + } + : undefined + } + hint="доля проданных площадей в стройке" + /> + 0 ? "+" : ""}${priceDelta}% за период`, + positive: null, + } + : undefined + } + /> + +
+ +
+ +
+ +
+ +

+ Рынок голосует деньгами за семейные квартиры (37% сделок — 80+ м²), а + предложение перекошено в сторону инвесторских студий и однушек (52% + портфеля). Дефицит средне-большого жилья — ниша для входа. +

+
+ +
+
+
+ +
+
+
+
+ +
+
+
+ +
+ +
+ + ); +} diff --git a/frontend/src/app/analytics/prinzip/page.tsx b/frontend/src/app/analytics/prinzip/page.tsx new file mode 100644 index 00000000..5c9584c9 --- /dev/null +++ b/frontend/src/app/analytics/prinzip/page.tsx @@ -0,0 +1,144 @@ +"use client"; + +import { useState } from "react"; + +import { InsightCards } from "@/components/analytics/InsightCards"; +import { KpiCard } from "@/components/analytics/KpiCard"; +import { PrinzipDistrictsBar } from "@/components/analytics/PrinzipDistrictsBar"; +import { PrinzipGapBar } from "@/components/analytics/PrinzipGapBar"; +import { PrinzipQuartirographyPie } from "@/components/analytics/PrinzipQuartirographyPie"; +import { PrinzipVelocityChart } from "@/components/analytics/PrinzipVelocityChart"; +import { Section } from "@/components/analytics/Section"; +import { useDeveloperDetail } from "@/lib/analytics-api"; + +const PRINZIP = "6208_0"; +const BENCH_OPTIONS: { id: string; name: string }[] = [ + { id: "5791_0", name: "Брусника" }, + { id: "5832_0", name: "Холдинг Форум-групп" }, + { id: "5654_0", name: "КОРТРОС" }, + { id: "8809_0", name: "Атлас Девелопмент" }, + { id: "5904_0", name: "Эталон" }, + { id: "5868_0", name: "Унистрой" }, + { id: "5772_0", name: "Атомстройкомплекс" }, +]; + +export default function PrinzipPage() { + const detail = useDeveloperDetail(PRINZIP); + const [benchmarks, setBenchmarks] = useState(["5791_0", "5832_0"]); + + const toggle = (id: string) => + setBenchmarks((prev) => + prev.includes(id) ? prev.filter((x) => x !== id) : [...prev, id], + ); + + const ids = [PRINZIP, ...benchmarks]; + const names: Record = { + [PRINZIP]: "PRINZIP", + ...Object.fromEntries(BENCH_OPTIONS.map((o) => [o.id, o.name])), + }; + + const d = detail.data; + + return ( + <> +
+ + + + +
+ +
+ {BENCH_OPTIONS.map((o) => { + const on = benchmarks.includes(o.id); + return ( + + ); + })} + + } + > + +
+ +
+
+ +
+
+ +
+
+ +
+ +
+ +
+ +
+ + ); +} diff --git a/frontend/src/app/layout.tsx b/frontend/src/app/layout.tsx index 7d7ca582..7dc4da1a 100644 --- a/frontend/src/app/layout.tsx +++ b/frontend/src/app/layout.tsx @@ -1,5 +1,7 @@ import type { Metadata } from "next"; +import { Providers } from "./providers"; + export const metadata: Metadata = { title: "GenDesign", description: "Generative Design + Site Finder", @@ -19,7 +21,7 @@ export default function RootLayout({ "system-ui, -apple-system, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif", }} > - {children} + {children} ); diff --git a/frontend/src/app/page.tsx b/frontend/src/app/page.tsx index acee5112..808fff02 100644 --- a/frontend/src/app/page.tsx +++ b/frontend/src/app/page.tsx @@ -12,6 +12,9 @@ export default function HomePage() {
  • Site Finder
    • +
  • + Аналитика — Свердл рынок & PRINZIP +
    • {/* TODO: REMOVE BEFORE INVESTOR / CLIENT DEMO — internal easter egg for Anton */}

    diff --git a/frontend/src/app/providers.tsx b/frontend/src/app/providers.tsx new file mode 100644 index 00000000..44cf575e --- /dev/null +++ b/frontend/src/app/providers.tsx @@ -0,0 +1,19 @@ +"use client"; + +import { QueryClient, QueryClientProvider } from "@tanstack/react-query"; +import { useState } from "react"; + +export function Providers({ children }: { children: React.ReactNode }) { + const [client] = useState( + () => + new QueryClient({ + defaultOptions: { + queries: { + staleTime: 5 * 60_000, + refetchOnWindowFocus: false, + }, + }, + }), + ); + return {children}; +} diff --git a/frontend/src/components/analytics/AnalyticsNav.tsx b/frontend/src/components/analytics/AnalyticsNav.tsx new file mode 100644 index 00000000..dc54b945 --- /dev/null +++ b/frontend/src/components/analytics/AnalyticsNav.tsx @@ -0,0 +1,46 @@ +"use client"; + +import Link from "next/link"; +import { usePathname } from "next/navigation"; + +const TABS = [ + { href: "/analytics", label: "Свердл рынок" }, + { href: "/analytics/prinzip", label: "PRINZIP" }, + { href: "/analytics/developers", label: "Девелоперы" }, +]; + +export function AnalyticsNav() { + const pathname = usePathname(); + return ( +

    + ); +} diff --git a/frontend/src/components/analytics/ChartShell.tsx b/frontend/src/components/analytics/ChartShell.tsx new file mode 100644 index 00000000..b20d5fc3 --- /dev/null +++ b/frontend/src/components/analytics/ChartShell.tsx @@ -0,0 +1,33 @@ +"use client"; + +import dynamic from "next/dynamic"; +import type { CSSProperties } from "react"; + +const ReactECharts = dynamic(() => import("echarts-for-react"), { ssr: false }); + +interface Props { + option: Record; + height?: number; + style?: CSSProperties; + loading?: boolean; + notMerge?: boolean; +} + +export function ChartShell({ + option, + height = 320, + style, + loading, + notMerge, +}: Props) { + return ( +
    + +
    + ); +} diff --git a/frontend/src/components/analytics/DeveloperLeaderboard.tsx b/frontend/src/components/analytics/DeveloperLeaderboard.tsx new file mode 100644 index 00000000..dc9ef654 --- /dev/null +++ b/frontend/src/components/analytics/DeveloperLeaderboard.tsx @@ -0,0 +1,152 @@ +"use client"; + +import Link from "next/link"; +import { useMemo, useState } from "react"; + +import { useTopDevelopers } from "@/lib/analytics-api"; +import type { DeveloperTopRow } from "@/types/analytics"; + +type SortKey = + | "sverdl_sqm_th" + | "sold_pct" + | "sold_delta_pp" + | "avg_area_sqm" + | "pct_three_plus"; + +const COLS: { + key: SortKey; + label: string; + format: (v: number | null) => string; +}[] = [ + { + key: "sverdl_sqm_th", + label: "тыс м²", + format: (v) => (v ? v.toFixed(0) : "—"), + }, + { + key: "sold_pct", + label: "sold %", + format: (v) => (v != null ? `${v.toFixed(0)}` : "—"), + }, + { + key: "sold_delta_pp", + label: "Δ пп", + format: (v) => + v != null ? (v > 0 ? `+${v.toFixed(0)}` : v.toFixed(0)) : "—", + }, + { + key: "avg_area_sqm", + label: "ср. м²", + format: (v) => (v ? v.toFixed(1) : "—"), + }, + { + key: "pct_three_plus", + label: "3-к+ %", + format: (v) => (v ? v.toFixed(0) : "—"), + }, +]; + +export function DeveloperLeaderboard({ highlight }: { highlight?: string }) { + const { data, isLoading } = useTopDevelopers(15); + const [sortBy, setSortBy] = useState("sverdl_sqm_th"); + const [desc, setDesc] = useState(true); + + const rows = useMemo(() => { + const arr = [...(data ?? [])]; + arr.sort((a, b) => { + const av = (a[sortBy] ?? -Infinity) as number; + const bv = (b[sortBy] ?? -Infinity) as number; + return desc ? bv - av : av - bv; + }); + return arr; + }, [data, sortBy, desc]); + + const click = (k: SortKey) => { + if (k === sortBy) setDesc(!desc); + else { + setSortBy(k); + setDesc(true); + } + }; + + if (isLoading) + return
    Загрузка…
    ; + + return ( +
    + + + + + + {COLS.map((c) => ( + + ))} + + + + {rows.map((r: DeveloperTopRow, i) => { + const isHi = highlight && r.developer_id === highlight; + return ( + + + + {COLS.map((c) => { + const value = r[c.key] as number | null; + let color = "#111"; + if (c.key === "sold_delta_pp" && value != null) { + color = + value > 5 + ? "#0a7a3a" + : value < -5 + ? "#b3261e" + : "#5b6066"; + } + return ( + + ); + })} + + ); + })} + +
    #Девелопер click(c.key)} + > + {c.label} + {sortBy === c.key ? (desc ? " ↓" : " ↑") : ""} +
    {i + 1} + + {r.developer_name} + + + {c.format(value)} +
    +
    + ); +} + +const th = { + padding: "10px 12px", + textAlign: "right" as const, + fontWeight: 600, + borderBottom: "1px solid #e6e8ec", + color: "#374151", +}; +const td = { + padding: "10px 12px", + textAlign: "right" as const, +}; diff --git a/frontend/src/components/analytics/DistrictTreemap.tsx b/frontend/src/components/analytics/DistrictTreemap.tsx new file mode 100644 index 00000000..23de0635 --- /dev/null +++ b/frontend/src/components/analytics/DistrictTreemap.tsx @@ -0,0 +1,50 @@ +"use client"; + +import { useMemo } from "react"; + +import { useDistricts } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function DistrictTreemap() { + const { data, isLoading } = useDistricts(); + + const option = useMemo(() => { + const rows = data ?? []; + return { + tooltip: { + formatter: (info: { + data: { name: string; value: number; flat_count: number }; + }) => + `${info.data.name}
    ЖК: ${info.data.value}
    квартир: ${info.data.flat_count?.toLocaleString("ru")}`, + }, + series: [ + { + type: "treemap", + roam: false, + breadcrumb: { show: false }, + label: { + show: true, + formatter: "{b}\n{c} ЖК", + color: "#fff", + fontSize: 13, + }, + itemStyle: { borderColor: "#fff", borderWidth: 2, gapWidth: 2 }, + levels: [ + { + colorMappingBy: "value", + color: ["#dbeafe", "#3b82f6", "#1d4ed8"], + }, + ], + data: rows.map((r) => ({ + name: r.district_name, + value: r.zk_count ?? 0, + flat_count: r.flat_count ?? 0, + })), + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/InsightCards.tsx b/frontend/src/components/analytics/InsightCards.tsx new file mode 100644 index 00000000..7ee6b1f4 --- /dev/null +++ b/frontend/src/components/analytics/InsightCards.tsx @@ -0,0 +1,106 @@ +"use client"; + +import { usePrinzipInsights } from "@/lib/analytics-api"; + +export function InsightCards() { + const { data } = usePrinzipInsights(); + + if (!data) + return
    Загрузка рекомендаций…
    ; + + return ( +
    +

    + {data.headline} +

    + +
    +

    Приоритеты

    +
    + {data.priorities.map((p) => ( +
    +
    #{p.rank}
    +
    {p.title}
    +

    {p.why}

    +
    + ))} +
    +
    + +
    +

    Где строить новое

    +
    + {data.where_to_build.map((w) => ( +
    +
    {w.district}
    +

    {w.why}

    +
    + ))} +
    +
    + +
    +

    Чего избегать

    +
      + {data.what_to_avoid.map((s, i) => ( +
    • {s}
      • + ))} +
    +
    + +
    +

    Benchmark-модели

    +
    + {data.benchmarks.map((b) => ( +
    +
    {b.name}
    +

    {b.model}

    +
    + ))} +
    +
    +
    + ); +} + +const h3 = { + fontSize: 14, + fontWeight: 600, + color: "#374151", + margin: "0 0 8px", +}; +const grid = { + display: "grid", + gridTemplateColumns: "repeat(auto-fill, minmax(280px, 1fr))", + gap: 12, +}; +const card = { + background: "#f9fafb", + border: "1px solid #e6e8ec", + borderRadius: 8, + padding: "12px 14px", +}; +const badge = { + display: "inline-block", + background: "#1d4ed8", + color: "#fff", + fontSize: 12, + fontWeight: 600, + borderRadius: 4, + padding: "2px 8px", +}; +const pStyle = { + margin: "6px 0 0", + fontSize: 13, + color: "#4b5563", + lineHeight: 1.5, +}; diff --git a/frontend/src/components/analytics/KpiCard.tsx b/frontend/src/components/analytics/KpiCard.tsx new file mode 100644 index 00000000..a3f21f9a --- /dev/null +++ b/frontend/src/components/analytics/KpiCard.tsx @@ -0,0 +1,65 @@ +interface Props { + label: string; + value: string; + unit?: string; + delta?: { value: string; positive?: boolean | null }; + hint?: string; +} + +export function KpiCard({ label, value, unit, delta, hint }: Props) { + const deltaColor = + delta?.positive === true + ? "#0a7a3a" + : delta?.positive === false + ? "#b3261e" + : "#5b6066"; + + return ( +
    +
    + {label} +
    +
    + + {value} + + {unit ? ( + {unit} + ) : null} +
    + {delta ? ( +
    + {delta.value} +
    + ) : null} + {hint ? ( +
    + {hint} +
    + ) : null} +
    + ); +} diff --git a/frontend/src/components/analytics/MarketPulseChart.tsx b/frontend/src/components/analytics/MarketPulseChart.tsx new file mode 100644 index 00000000..b2b6a12f --- /dev/null +++ b/frontend/src/components/analytics/MarketPulseChart.tsx @@ -0,0 +1,70 @@ +"use client"; + +import { useMemo } from "react"; + +import { useMarketPulse } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function MarketPulseChart() { + const { data, isLoading } = useMarketPulse(); + + const option = useMemo(() => { + const points = data ?? []; + const dates = points.map((p) => p.snapshot_date.slice(0, 7)); + return { + tooltip: { trigger: "axis", axisPointer: { type: "cross" } }, + legend: { data: ["Объём, тыс м²", "sold %", "Цена, ₽/м²"] }, + grid: { left: 56, right: 64, top: 40, bottom: 36 }, + xAxis: { type: "category", data: dates }, + yAxis: [ + { + type: "value", + name: "тыс м²", + position: "left", + axisLabel: { color: "#5b6066" }, + }, + { + type: "value", + name: "% / ₽", + position: "right", + axisLabel: { color: "#5b6066" }, + }, + ], + series: [ + { + name: "Объём, тыс м²", + type: "bar", + yAxisIndex: 0, + data: points.map((p) => p.total_square_th_sqm), + itemStyle: { color: "rgba(33, 99, 232, 0.55)" }, + }, + { + name: "sold %", + type: "line", + yAxisIndex: 1, + smooth: true, + symbol: "circle", + data: points.map((p) => p.sold_perc), + lineStyle: { color: "#0a7a3a", width: 2 }, + itemStyle: { color: "#0a7a3a" }, + }, + { + name: "Цена, ₽/м²", + type: "line", + yAxisIndex: 1, + smooth: true, + symbol: "circle", + data: points.map((p) => + p.price_avg ? Math.round(p.price_avg / 1000) : null, + ), + lineStyle: { color: "#c2410c", width: 2 }, + itemStyle: { color: "#c2410c" }, + tooltip: { valueFormatter: (v: number) => `${v} тыс ₽/м²` }, + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/PipelineChart.tsx b/frontend/src/components/analytics/PipelineChart.tsx new file mode 100644 index 00000000..7eb00b52 --- /dev/null +++ b/frontend/src/components/analytics/PipelineChart.tsx @@ -0,0 +1,51 @@ +"use client"; + +import { useMemo } from "react"; + +import { usePipeline } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function PipelineChart() { + const { data, isLoading } = usePipeline(); + + const option = useMemo(() => { + const rows = data ?? []; + return { + tooltip: { + trigger: "axis", + axisPointer: { type: "shadow" }, + valueFormatter: (v: number) => `${v}%`, + }, + legend: { data: ["sold", "unsold", "не открыто"] }, + grid: { left: 48, right: 32, top: 40, bottom: 28 }, + xAxis: { type: "category", data: rows.map((r) => r.year) }, + yAxis: { type: "value", max: 100, axisLabel: { formatter: "{value}%" } }, + series: [ + { + name: "sold", + type: "bar", + stack: "p", + data: rows.map((r) => r.sold_perc), + itemStyle: { color: "#0a7a3a" }, + }, + { + name: "unsold", + type: "bar", + stack: "p", + data: rows.map((r) => r.unsold_perc), + itemStyle: { color: "#f59e0b" }, + }, + { + name: "не открыто", + type: "bar", + stack: "p", + data: rows.map((r) => r.unopened_perc), + itemStyle: { color: "#b3261e" }, + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/PrinzipDistrictsBar.tsx b/frontend/src/components/analytics/PrinzipDistrictsBar.tsx new file mode 100644 index 00000000..0a47fd9c --- /dev/null +++ b/frontend/src/components/analytics/PrinzipDistrictsBar.tsx @@ -0,0 +1,77 @@ +"use client"; + +import { useMemo } from "react"; + +import { useDistricts, usePrinzipDistricts } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function PrinzipDistrictsBar() { + const districts = useDistricts(); + const prinzip = usePrinzipDistricts(); + + const option = useMemo(() => { + const dRows = districts.data ?? []; + const pRows = prinzip.data ?? []; + const order = [...dRows] + .filter((r) => r.district_name !== "не определён") + .sort((a, b) => (b.zk_count ?? 0) - (a.zk_count ?? 0)) + .map((r) => r.district_name); + + return { + tooltip: { + trigger: "axis", + axisPointer: { type: "shadow" }, + formatter: ( + params: { + axisValueLabel: string; + marker: string; + seriesName: string; + value: number; + }[], + ) => { + const district = params[0]?.axisValueLabel ?? ""; + const total = + dRows.find((d) => d.district_name === district)?.zk_count ?? 0; + const prinzipRow = pRows.find((p) => p.district_name === district); + const share = prinzipRow?.share_in_district_pct ?? 0; + return [ + `${district}`, + `Всего ЖК: ${total}`, + `PRINZIP: ${prinzipRow?.prinzip_zk ?? 0} (${share}%)`, + ].join("
    "); + }, + }, + legend: { data: ["Все девелоперы", "PRINZIP"] }, + grid: { left: 120, right: 32, top: 40, bottom: 28 }, + xAxis: { type: "value" }, + yAxis: { type: "category", data: order, inverse: true }, + series: [ + { + name: "Все девелоперы", + type: "bar", + data: order.map( + (n) => dRows.find((d) => d.district_name === n)?.zk_count ?? 0, + ), + itemStyle: { color: "#94a3b8" }, + }, + { + name: "PRINZIP", + type: "bar", + data: order.map( + (n) => pRows.find((p) => p.district_name === n)?.prinzip_zk ?? 0, + ), + itemStyle: { color: "#1d4ed8" }, + }, + ], + }; + }, [districts.data, prinzip.data]); + + return ( + + ); +} diff --git a/frontend/src/components/analytics/PrinzipGapBar.tsx b/frontend/src/components/analytics/PrinzipGapBar.tsx new file mode 100644 index 00000000..1dd232ec --- /dev/null +++ b/frontend/src/components/analytics/PrinzipGapBar.tsx @@ -0,0 +1,70 @@ +"use client"; + +import { useMemo } from "react"; + +import { usePrinzipInsights } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function PrinzipGapBar() { + const { data, isLoading } = usePrinzipInsights(); + + const option = useMemo(() => { + const rows = data?.key_gaps ?? []; + return { + tooltip: { + trigger: "axis", + axisPointer: { type: "shadow" }, + formatter: ( + params: { + axisValueLabel: string; + marker: string; + seriesName: string; + value: number; + }[], + ) => { + const label = params[0]?.axisValueLabel ?? ""; + const unit = rows.find((r) => r.label === label)?.unit ?? ""; + return [ + `${label}`, + ...params.map( + (p) => `${p.marker}${p.seriesName}: ${p.value}${unit}`, + ), + ].join("
    "); + }, + }, + legend: { data: ["PRINZIP", "Рынок Свердл", "Брусника", "Форум-групп"] }, + grid: { left: 120, right: 32, top: 40, bottom: 28 }, + xAxis: { type: "value" }, + yAxis: { type: "category", data: rows.map((r) => r.label) }, + series: [ + { + name: "PRINZIP", + type: "bar", + data: rows.map((r) => r.prinzip), + itemStyle: { color: "#1d4ed8" }, + }, + { + name: "Рынок Свердл", + type: "bar", + data: rows.map((r) => r.market), + itemStyle: { color: "#94a3b8" }, + }, + { + name: "Брусника", + type: "bar", + data: rows.map((r) => r.brusnika), + itemStyle: { color: "#0a7a3a" }, + }, + { + name: "Форум-групп", + type: "bar", + data: rows.map((r) => r.forum), + itemStyle: { color: "#c2410c" }, + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/PrinzipQuartirographyPie.tsx b/frontend/src/components/analytics/PrinzipQuartirographyPie.tsx new file mode 100644 index 00000000..6ca085fb --- /dev/null +++ b/frontend/src/components/analytics/PrinzipQuartirographyPie.tsx @@ -0,0 +1,41 @@ +"use client"; + +import { useMemo } from "react"; + +import { useDeveloperDetail } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function PrinzipQuartirographyPie({ + developerId = "6208_0", +}: { + developerId?: string; +}) { + const { data, isLoading } = useDeveloperDetail(developerId); + + const option = useMemo(() => { + const rows = data + ? [ + { name: "1-к", value: data.agg_one_room ?? 0 }, + { name: "2-к", value: data.agg_two_room ?? 0 }, + { name: "3-к", value: data.agg_three_room ?? 0 }, + { name: "4+", value: data.agg_four_plus ?? 0 }, + ] + : []; + return { + tooltip: { trigger: "item", formatter: "{b}: {c} ({d}%)" }, + legend: { bottom: 0 }, + series: [ + { + type: "pie", + radius: ["45%", "70%"], + label: { formatter: "{b}\n{d}%" }, + data: rows, + color: ["#94a3b8", "#3b82f6", "#0a7a3a", "#c2410c"], + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/PrinzipVelocityChart.tsx b/frontend/src/components/analytics/PrinzipVelocityChart.tsx new file mode 100644 index 00000000..e67b59db --- /dev/null +++ b/frontend/src/components/analytics/PrinzipVelocityChart.tsx @@ -0,0 +1,65 @@ +"use client"; + +import { useMemo } from "react"; + +import { useDeveloperHistory } from "@/lib/analytics-api"; + +const PALETTE = [ + "#1d4ed8", + "#0a7a3a", + "#c2410c", + "#9333ea", + "#0891b2", + "#5b6066", +]; + +import { ChartShell } from "./ChartShell"; + +interface Props { + developerIds: string[]; + developerNames: Record; +} + +export function PrinzipVelocityChart({ developerIds, developerNames }: Props) { + const { data, isLoading } = useDeveloperHistory(developerIds); + + const option = useMemo(() => { + const points = data ?? []; + const byDev: Record = {}; + for (const p of points) { + if (!byDev[p.developer_id]) byDev[p.developer_id] = []; + byDev[p.developer_id].push({ + date: p.snapshot_date.slice(0, 7), + sold: p.sold_perc, + }); + } + const dates = Array.from( + new Set(points.map((p) => p.snapshot_date.slice(0, 7))), + ).sort(); + const series = developerIds.map((id, i) => ({ + name: developerNames[id] ?? id, + type: "line", + smooth: true, + symbol: "circle", + lineStyle: { + width: id === "6208_0" ? 3 : 2, + color: PALETTE[i % PALETTE.length], + }, + itemStyle: { color: PALETTE[i % PALETTE.length] }, + data: dates.map( + (d) => byDev[id]?.find((p) => p.date === d)?.sold ?? null, + ), + connectNulls: true, + })); + return { + tooltip: { trigger: "axis", valueFormatter: (v: number) => `${v}%` }, + legend: { data: series.map((s) => s.name as string) }, + grid: { left: 48, right: 32, top: 40, bottom: 28 }, + xAxis: { type: "category", data: dates }, + yAxis: { type: "value", axisLabel: { formatter: "{value}%" } }, + series, + }; + }, [data, developerIds, developerNames]); + + return ; +} diff --git a/frontend/src/components/analytics/QuartirographyChart.tsx b/frontend/src/components/analytics/QuartirographyChart.tsx new file mode 100644 index 00000000..d456baac --- /dev/null +++ b/frontend/src/components/analytics/QuartirographyChart.tsx @@ -0,0 +1,71 @@ +"use client"; + +import { useMemo } from "react"; + +import { + useQuartirographyDeals, + useQuartirographyPortfolio, +} from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function QuartirographyChart() { + const portfolio = useQuartirographyPortfolio(); + const deals = useQuartirographyDeals(); + + const option = useMemo(() => { + const portfolioRows = portfolio.data ?? []; + const dealsRows = deals.data ?? []; + const buckets = [ + "Студии 15-30", + "1-к 30-45", + "2-к 45-60", + "3-к 60-80", + "80+ м²", + ]; + const portfolioMap: Record = { + "1-к 30-45": portfolioRows.find((r) => r.bucket === "1-к")?.percent ?? 0, + "2-к 45-60": portfolioRows.find((r) => r.bucket === "2-к")?.percent ?? 0, + "3-к 60-80": portfolioRows.find((r) => r.bucket === "3-к")?.percent ?? 0, + "80+ м²": portfolioRows.find((r) => r.bucket === "4+")?.percent ?? 0, + }; + const dealsPercents = buckets.map( + (b) => dealsRows.find((r) => r.bucket === b)?.percent ?? 0, + ); + const portfolioPercents = buckets.map((b) => portfolioMap[b] ?? 0); + + return { + tooltip: { + trigger: "axis", + axisPointer: { type: "shadow" }, + valueFormatter: (v: number) => `${v}%`, + }, + legend: { data: ["Что строится (портфель)", "Что покупают (ДДУ)"] }, + grid: { left: 110, right: 32, top: 40, bottom: 28 }, + xAxis: { type: "value", axisLabel: { formatter: "{value}%" } }, + yAxis: { type: "category", data: buckets, inverse: true }, + series: [ + { + name: "Что строится (портфель)", + type: "bar", + data: portfolioPercents, + itemStyle: { color: "#94a3b8" }, + }, + { + name: "Что покупают (ДДУ)", + type: "bar", + data: dealsPercents, + itemStyle: { color: "#0a7a3a" }, + }, + ], + }; + }, [portfolio.data, deals.data]); + + return ( + + ); +} diff --git a/frontend/src/components/analytics/Section.tsx b/frontend/src/components/analytics/Section.tsx new file mode 100644 index 00000000..5c7d2898 --- /dev/null +++ b/frontend/src/components/analytics/Section.tsx @@ -0,0 +1,43 @@ +import type { ReactNode } from "react"; + +interface Props { + title: string; + subtitle?: string; + right?: ReactNode; + children: ReactNode; +} + +export function Section({ title, subtitle, right, children }: Props) { + return ( +
    +
    +
    +

    {title}

    + {subtitle ? ( +

    + {subtitle} +

    + ) : null} +
    + {right ?
    {right}
    : null} +
    + {children} +
    + ); +} diff --git a/frontend/src/components/analytics/VelocityScatter.tsx b/frontend/src/components/analytics/VelocityScatter.tsx new file mode 100644 index 00000000..28b4a92e --- /dev/null +++ b/frontend/src/components/analytics/VelocityScatter.tsx @@ -0,0 +1,76 @@ +"use client"; + +import { useMemo } from "react"; + +import { useTopDevelopers } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +export function VelocityScatter() { + const { data, isLoading } = useTopDevelopers(30); + + const option = useMemo(() => { + const rows = data ?? []; + return { + tooltip: { + trigger: "item", + formatter: (info: { data: [number, number, string, number] }) => { + const [x, y, name, sold] = info.data; + return `${name}
    Объём: ${x} тыс м²
    Δ sold: ${y > 0 ? "+" : ""}${y} пп
    текущий sold%: ${sold}%`; + }, + }, + grid: { left: 56, right: 32, top: 32, bottom: 56 }, + xAxis: { + name: "Объём, тыс м²", + nameLocation: "middle", + nameGap: 32, + type: "value", + }, + yAxis: { + name: "Δ sold % (пп)", + nameLocation: "middle", + nameGap: 36, + type: "value", + axisLine: { show: true }, + }, + series: [ + { + type: "scatter", + symbolSize: 14, + data: rows + .filter((r) => r.sold_delta_pp != null && r.sverdl_sqm_th != null) + .map((r) => [ + r.sverdl_sqm_th, + r.sold_delta_pp, + r.developer_name, + r.sold_pct ?? 0, + ]), + itemStyle: { + color: (p: { data: [number, number, string, number] }) => + p.data[1] > 5 + ? "#0a7a3a" + : p.data[1] < -5 + ? "#b3261e" + : "#5b6066", + }, + label: { + show: true, + position: "right", + formatter: (p: { data: [number, number, string, number] }) => + p.data[2], + fontSize: 11, + color: "#374151", + }, + markLine: { + silent: true, + symbol: "none", + lineStyle: { color: "#cbd5e1", type: "dashed" }, + data: [{ yAxis: 0 }], + }, + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/components/analytics/YandexClassPie.tsx b/frontend/src/components/analytics/YandexClassPie.tsx new file mode 100644 index 00000000..51bc31a7 --- /dev/null +++ b/frontend/src/components/analytics/YandexClassPie.tsx @@ -0,0 +1,41 @@ +"use client"; + +import { useMemo } from "react"; + +import { useYandexListings } from "@/lib/analytics-api"; + +import { ChartShell } from "./ChartShell"; + +const CLASS_LABELS: Record = { + ECONOM: "Эконом", + COMFORT: "Комфорт", + COMFORT_PLUS: "Комфорт+", + BUSINESS: "Бизнес", + ELITE: "Элит", +}; + +export function YandexClassPie() { + const { data, isLoading } = useYandexListings(); + + const option = useMemo(() => { + const rows = data?.by_class ?? []; + return { + tooltip: { trigger: "item" }, + legend: { bottom: 0 }, + series: [ + { + type: "pie", + radius: ["45%", "70%"], + avoidLabelOverlap: false, + label: { formatter: "{b}: {c}" }, + data: rows.map((r) => ({ + name: CLASS_LABELS[r.obj_class] ?? r.obj_class, + value: r.count, + })), + }, + ], + }; + }, [data]); + + return ; +} diff --git a/frontend/src/lib/analytics-api.ts b/frontend/src/lib/analytics-api.ts new file mode 100644 index 00000000..00279f21 --- /dev/null +++ b/frontend/src/lib/analytics-api.ts @@ -0,0 +1,125 @@ +"use client"; + +import { useQuery } from "@tanstack/react-query"; + +import { apiFetch } from "./api"; +import type { + DeveloperDetail, + DeveloperHistoryPoint, + DeveloperPortfolioObject, + DeveloperTopRow, + DistrictRow, + MarketPulsePoint, + PipelineRow, + PrinzipDistrictRow, + PrinzipInsights, + QuartirographyDealsRow, + QuartirographyPortfolioRow, + YandexListingsSummary, +} from "@/types/analytics"; + +const BASE = "/api/v1/analytics"; + +export function useMarketPulse() { + return useQuery({ + queryKey: ["analytics", "market-pulse"], + queryFn: () => apiFetch(`${BASE}/sverdl/market-pulse`), + }); +} + +export function useQuartirographyPortfolio() { + return useQuery({ + queryKey: ["analytics", "quartirography", "portfolio"], + queryFn: () => + apiFetch( + `${BASE}/sverdl/quartirography?source=portfolio`, + ), + }); +} + +export function useQuartirographyDeals() { + return useQuery({ + queryKey: ["analytics", "quartirography", "deals"], + queryFn: () => + apiFetch( + `${BASE}/sverdl/quartirography?source=deals`, + ), + }); +} + +export function usePipeline() { + return useQuery({ + queryKey: ["analytics", "pipeline"], + queryFn: () => apiFetch(`${BASE}/sverdl/pipeline`), + }); +} + +export function useDistricts() { + return useQuery({ + queryKey: ["analytics", "districts"], + queryFn: () => apiFetch(`${BASE}/sverdl/districts`), + }); +} + +export function useYandexListings() { + return useQuery({ + queryKey: ["analytics", "yandex"], + queryFn: () => + apiFetch(`${BASE}/sverdl/yandex-listings`), + }); +} + +export function useTopDevelopers(limit = 15) { + return useQuery({ + queryKey: ["analytics", "top-devs", limit], + queryFn: () => + apiFetch(`${BASE}/developers/top?limit=${limit}`), + }); +} + +export function useDeveloperDetail(developerId: string) { + return useQuery({ + queryKey: ["analytics", "dev", developerId], + queryFn: () => + apiFetch(`${BASE}/developers/${developerId}`), + enabled: !!developerId, + }); +} + +export function useDeveloperHistory(developerIds: string[]) { + const idsParam = developerIds.join(","); + return useQuery({ + queryKey: ["analytics", "dev-history", idsParam], + queryFn: () => + apiFetch( + `${BASE}/developers/history?ids=${encodeURIComponent(idsParam)}`, + ), + enabled: developerIds.length > 0, + }); +} + +export function useDeveloperPortfolio(developerId: string) { + return useQuery({ + queryKey: ["analytics", "dev-portfolio", developerId], + queryFn: () => + apiFetch( + `${BASE}/developers/${developerId}/portfolio`, + ), + enabled: !!developerId, + }); +} + +export function usePrinzipInsights() { + return useQuery({ + queryKey: ["analytics", "prinzip-insights"], + queryFn: () => apiFetch(`${BASE}/prinzip/insights`), + staleTime: Infinity, + }); +} + +export function usePrinzipDistricts() { + return useQuery({ + queryKey: ["analytics", "prinzip-districts"], + queryFn: () => apiFetch(`${BASE}/prinzip/districts`), + }); +} diff --git a/frontend/src/types/analytics.ts b/frontend/src/types/analytics.ts new file mode 100644 index 00000000..7e331294 --- /dev/null +++ b/frontend/src/types/analytics.ts @@ -0,0 +1,146 @@ +export interface MarketPulsePoint { + snapshot_date: string; + rep_year: number; + rep_month: number; + total_square_th_sqm: number | null; + sold_perc: number | null; + price_avg: number | null; +} + +export interface QuartirographyPortfolioRow { + bucket: string; + flat_count: number; + area_sqm: number | null; + percent: number | null; + avg_area: number | null; +} + +export interface QuartirographyDealsRow { + bucket: string; + deals: number; + percent: number; + median_price: number | null; +} + +export interface PipelineRow { + year: string; + total_th_sqm: number | null; + sold_perc: number | null; + unsold_perc: number | null; + unopened_perc: number | null; +} + +export interface DistrictRow { + district_name: string; + zk_count: number | null; + flat_count: number | null; + area_m2: number | null; + median_price_per_m2: number | null; + mean_price_per_m2: number | null; +} + +export interface YandexListing { + yid: number; + name: string; + developer: string | null; + obj_class: string | null; + flats_total: number; + price_from: number | null; + price_to: number | null; + address: string | null; + lat: number | null; + lon: number | null; +} + +export interface YandexListingsSummary { + snapshot_date: string | null; + total: number; + by_class: { obj_class: string; count: number }[]; + items: YandexListing[]; +} + +export interface DeveloperTopRow { + developer_id: string; + developer_name: string; + jk_count: number | null; + jk_flats_total: number | null; + sverdl_sqm_th: number | null; + sold_pct: number | null; + sold_delta_pp: number | null; + sold_first: number | null; + sold_last: number | null; + first_dt: string | null; + last_dt: string | null; + avg_area_sqm: number | null; + pct_one: number | null; + pct_three_plus: number | null; +} + +export interface DeveloperDetail { + developer_id: string; + developer_name: string; + jk_count: number | null; + jk_flats_total: number | null; + jk_sqm_total: number | null; + jk_ekb: number | null; + jk_completed: number | null; + jk_in_progress: number | null; + jk_escrow: number | null; + agg_flats_total: number | null; + agg_one_room: number | null; + agg_two_room: number | null; + agg_three_room: number | null; + agg_four_plus: number | null; + pct_one: number | null; + pct_three_plus: number | null; + avg_area_sqm: number | null; + sverdl_sqm_th: number | null; + sverdl_sold_pct: number | null; + sverdl_unsold_pct: number | null; + sverdl_price_avg: number | null; +} + +export interface DeveloperHistoryPoint { + developer_id: string; + snapshot_date: string; + sold_perc: number | null; + total_th_sqm: number | null; +} + +export interface DeveloperPortfolioObject { + obj_id: number; + comm_name: string | null; + addr: string | null; + region_cd: number | null; + flat_count: number | null; + square_living: number | null; + ready_dt: string | null; + obj_class: string | null; + escrow: boolean | null; + problem_flag: string | null; + lat: number | null; + lon: number | null; + is_ekb: boolean | null; +} + +export interface PrinzipDistrictRow { + district_name: string; + prinzip_zk: number; + share_in_district_pct: number; +} + +export interface PrinzipInsights { + headline: string; + key_gaps: { + label: string; + prinzip: number; + market: number; + brusnika: number; + forum: number; + unit: string; + }[]; + priorities: { rank: number; title: string; why: string }[]; + where_to_build: { district: string; why: string }[]; + what_to_avoid: string[]; + benchmarks: { name: string; model: string }[]; +} diff --git a/frontend/tsconfig.tsbuildinfo b/frontend/tsconfig.tsbuildinfo new file mode 100644 index 00000000..2e630546 --- /dev/null +++ b/frontend/tsconfig.tsbuildinfo @@ -0,0 +1 @@ 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