feat(site-finder): inline POI weights pass-through в /analyze (#201 Phase 1)
Critical UX fix для #114 — user-drag слайдеры в WeightProfilePanel теперь применяются immediately к scoring, без обязательного profile save. Backend (parcels.py + schemas/parcel.py + tests): - POST /analyze принимает optional AnalyzeRequest { weights: dict[str,float] | None } - Priority: inline → profile_id → user_default → system defaults - Validate against ALLOWED_CATEGORIES + [MIN_WEIGHT, MAX_WEIGHT] → 422 на violation - Partial override semantics - 5 mock tests Frontend (useSiteAnalysis.ts + page.tsx): - weights param в analyze mutation - handleAnalyze всегда передаёт currentWeights когда activeProfileId=null - handleWeightsChange re-trigger analyze immediately если parcel loaded Phase 2 (debounce) + Phase 3 (Edit/Delete UI) — follow-up.
This commit is contained in:
lekss361
parent
434341e98f
commit
038e39e2ec
5 changed files with 419 additions and 15 deletions
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@ -6,7 +6,7 @@ import time
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from typing import Annotated, Any
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import httpx
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from fastapi import APIRouter, Depends, HTTPException, Query, Response
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from fastapi import APIRouter, Body, Depends, HTTPException, Query, Response
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from shapely import wkt as _shp_wkt
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from shapely.geometry import Polygon
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from sqlalchemy import text
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@ -15,6 +15,7 @@ from sqlalchemy.orm import Session
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from app.core.config import settings
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from app.core.db import get_db
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from app.schemas.parcel import (
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AnalyzeRequest,
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BestLayoutsRequest,
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BestLayoutsResponse,
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CompetitorsRequest,
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@ -41,6 +42,18 @@ from app.services.site_finder.quarter_dump_lookup import (
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make_empty_result,
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)
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from app.services.site_finder.velocity import compute_velocity
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from app.services.site_finder.weight_profiles import (
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ALLOWED_CATEGORIES as _ALLOWED_CATEGORIES,
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)
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from app.services.site_finder.weight_profiles import (
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MAX_WEIGHT as _MAX_WEIGHT,
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)
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from app.services.site_finder.weight_profiles import (
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MIN_WEIGHT as _MIN_WEIGHT,
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)
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from app.services.site_finder.weight_profiles import (
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resolve_weights as _resolve_weights,
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)
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logger = logging.getLogger(__name__)
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@ -1048,6 +1061,10 @@ def analyze_parcel(
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str | None,
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Query(description="user_id для fallback на default-профиль пользователя"),
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] = None,
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body: Annotated[
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AnalyzeRequest | None,
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Body(description="Опциональное тело запроса: inline POI-веса (#201)"),
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] = None,
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) -> dict[str, Any]:
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"""Анализ участка: близость к социалке + district context + конкуренты.
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@ -1223,15 +1240,41 @@ def analyze_parcel(
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.all()
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)
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# 3b) Resolve effective POI weights (profile → user default → system)
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from app.services.site_finder.weight_profiles import resolve_weights as _resolve_weights
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# 3b) Resolve effective POI weights (inline → profile → user default → system)
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_inline_weights: dict[str, float] | None = body.weights if body is not None else None
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_effective_weights = _resolve_weights(db, user_id=profile_user_id, profile_id=profile_id)
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_weights_source = (
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"profile"
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if profile_id is not None
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else ("user_default" if profile_user_id is not None else "system")
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)
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if _inline_weights is not None:
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# Validate inline weights: keys и диапазон значений (#201)
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bad_keys = set(_inline_weights.keys()) - _ALLOWED_CATEGORIES
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if bad_keys:
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raise HTTPException(
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status_code=422,
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detail=(
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f"Неизвестные POI-категории: {sorted(bad_keys)}. "
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f"Допустимые: {sorted(_ALLOWED_CATEGORIES)}"
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),
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)
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out_of_range = {
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k: v for k, v in _inline_weights.items() if v < _MIN_WEIGHT or v > _MAX_WEIGHT
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}
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if out_of_range:
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raise HTTPException(
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status_code=422,
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detail=(
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f"Веса за пределами допустимого диапазона "
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f"[{_MIN_WEIGHT}, {_MAX_WEIGHT}]: {out_of_range}"
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),
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)
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# Inline weights applied — merge поверх системных defaults (partial override)
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_effective_weights = {**_POI_WEIGHTS, **_inline_weights}
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_weights_source = "inline"
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else:
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_effective_weights = _resolve_weights(db, user_id=profile_user_id, profile_id=profile_id)
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_weights_source = (
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"profile"
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if profile_id is not None
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else ("user_default" if profile_user_id is not None else "system")
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)
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# 4) Scoring: weighted sum с distance decay
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score = 0.0
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@ -1926,12 +1969,13 @@ def analyze_parcel(
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nspd_engineering_nearby=nspd_dump_data["nspd_engineering_nearby"],
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nspd_dump=nspd_dump_data["nspd_dump"],
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),
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# #114: кастомные веса POI — source + applied dict для прозрачности.
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# #114/#201: кастомные веса POI — source + applied dict для прозрачности.
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"weights_profile": {
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"source": _weights_source,
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"profile_id": profile_id,
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"user_id": profile_user_id,
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"weights_applied": _effective_weights,
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"inline_weights": _inline_weights,
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},
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}
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@ -213,3 +213,24 @@ class BestLayoutsResponse(BaseModel):
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top_layouts: list[TopLayoutRow]
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recommendation_for_tz: LayoutTzRecommendation
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data_quality: LayoutDataQuality
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# ── Analyze endpoint inline weights (#201) ────────────────────────────────────
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class AnalyzeRequest(BaseModel):
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"""Опциональное тело запроса POST /analyze.
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Позволяет передать inline POI-веса напрямую в запросе без сохранения
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профиля. Если задан weights — применяется с наивысшим приоритетом
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(выше profile_id и user default).
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"""
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weights: dict[str, float] | None = Field(
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default=None,
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description=(
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"Inline POI weights override (категория → weight). "
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"Если задан — применяется к scoring, без обязательного profile save. "
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"Validated против ALLOWED_CATEGORIES + MIN_WEIGHT/MAX_WEIGHT."
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),
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)
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302
backend/tests/api/v1/test_analyze_inline_weights.py
Normal file
302
backend/tests/api/v1/test_analyze_inline_weights.py
Normal file
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@ -0,0 +1,302 @@
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"""Тесты для inline POI-weights в POST /api/v1/parcels/{cad_num}/analyze (#201).
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Покрывает:
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1. POST /analyze без body → system defaults (no regression)
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2. POST /analyze с inline weights → applied (source = "inline")
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3. POST /analyze с невалидной категорией → 422
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4. POST /analyze с весом вне диапазона → 422
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5. POST /analyze с body.weights + profile_id → body.weights wins (priority)
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Стратегия mock: DB патчим через dependency_overrides, тяжёлые service-функции
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(weather, velocity, dump и т.д.) патчим через unittest.mock.patch — чтобы не
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дублировать все 18 db.execute call'ов в каждом тесте.
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"""
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from __future__ import annotations
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from typing import Any
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from unittest.mock import MagicMock, patch
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import pytest
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from fastapi.testclient import TestClient
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from app.main import app
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# ── Константы ─────────────────────────────────────────────────────────────────
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_CAD = "66:41:0204016:10"
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_WKT = "POLYGON((60.6 56.838, 60.61 56.838, 60.61 56.845, 60.6 56.845, 60.6 56.838))"
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_GEOJSON = '{"type":"Polygon","coordinates":[[[60.6,56.838],[60.61,56.838]]]}'
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# ── Mock factories ─────────────────────────────────────────────────────────────
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def _make_mapping(data: dict[str, Any]) -> MagicMock:
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"""Создать mock-строку (mapping) с __getitem__ + .get() для dict-like доступа."""
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m = MagicMock()
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m.__getitem__ = lambda self, k: data[k]
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m.get = lambda k, default=None: data.get(k, default)
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return m
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def _make_db_for_analyze(
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geom_found: bool = True,
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district_found: bool = True,
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poi_rows: list[Any] | None = None,
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) -> MagicMock:
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"""Сконструировать mock DB Session для analyze_parcel.
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Порядок db.execute calls в analyze_parcel:
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0. UNION ALL geom + source → .mappings().first()
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1. WKT query → .mappings().first()
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2. District → .mappings().first()
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3. POI rows → .mappings().all()
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4. Competitor rows → .mappings().all()
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5. Pipeline rows → .mappings().all()
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6. Centroid lat/lon → .mappings().first()
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7. Noise rows → .mappings().all()
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8. Hydrology → .mappings().all()
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9. Utilities → .mappings().all()
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10. Market trend → .mappings().first()
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11. Zoning (begin_nested) → .mappings().first()
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12. Success recommendation (begin_nested) → .mappings().all()
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13. _geotech_risk (industrial count) → .scalar()
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14. _neighbors_summary (neighbor_rows) → .mappings().all()
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15. _neighbors_summary (overlap_row) → .mappings().first()
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begin_nested() — возвращаем context manager чтобы поддержать `with` statement.
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"""
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db = MagicMock()
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geom_row = (
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_make_mapping({"geom_geojson": _GEOJSON, "geom_wkb": None, "source": "cad_quarter"})
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if geom_found
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else None
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)
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wkt_row = _make_mapping({"wkt": _WKT}) if geom_found else None
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district_row = (
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_make_mapping(
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{
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"district_name": "Октябрьский",
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"median_price_per_m2": 120000,
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"dist_to_center": 1500.0,
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}
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)
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if district_found
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else None
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)
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centroid_row = _make_mapping({"lat": 56.84, "lon": 60.605})
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_poi_rows = poi_rows or []
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# Счётчик вызовов execute — разводим first() / all() / scalar() по очерёдности
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call_idx = [0]
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# Ответы в порядке вызовов:
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responses: list[Any] = [
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("first", geom_row), # 0: geom UNION ALL
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("first", wkt_row), # 1: WKT
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("first", district_row), # 2: district
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("all", _poi_rows), # 3: POI rows
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("all", []), # 4: competitor rows
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("all", []), # 5: pipeline rows
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("first", centroid_row), # 6: centroid
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("all", []), # 7: noise rows
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("all", []), # 8: hydrology rows
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("all", []), # 9: utilities rows
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("first", None), # 10: market trend
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("first", None), # 11: zoning (inside begin_nested)
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("all", []), # 12: success recommendation (inside begin_nested)
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("scalar", 0), # 13: geotech_risk industrial count
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("all", []), # 14: neighbors
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("first", None), # 15: overlap
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]
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def _execute_side_effect(*args: Any, **kwargs: Any) -> MagicMock:
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idx = call_idx[0]
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call_idx[0] += 1
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if idx >= len(responses):
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# Безопасный fallback для непредусмотренных вызовов
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r = MagicMock()
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r.mappings.return_value.first.return_value = None
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r.mappings.return_value.all.return_value = []
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r.scalar.return_value = 0
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return r
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kind, data = responses[idx]
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r = MagicMock()
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r.mappings.return_value.first.return_value = data
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r.mappings.return_value.all.return_value = data if isinstance(data, list) else []
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r.scalar.return_value = data if kind == "scalar" else 0
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return r
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db.execute.side_effect = _execute_side_effect
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# begin_nested() → context manager, остальные execute внутри него проходят
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# через тот же side_effect (because db.execute is the same mock).
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ctx = MagicMock()
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ctx.__enter__ = MagicMock(return_value=ctx)
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ctx.__exit__ = MagicMock(return_value=False)
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db.begin_nested.return_value = ctx
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return db
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def _override_db(db: MagicMock):
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def _get_db_override():
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yield db
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return _get_db_override
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# Патчим тяжёлые внешние вызовы (weather / velocity / nspd-dump),
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# чтобы тесты не зависели от сети и не требовали полного mock DB.
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_PATCHES = [
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patch("app.api.v1.parcels._fetch_air_quality_sync", return_value=None),
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patch("app.api.v1.parcels._fetch_weather_sync", return_value=None),
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patch("app.api.v1.parcels._fetch_seasonal_weather_sync", return_value=None),
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patch(
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"app.api.v1.parcels.get_quarter_dump_data",
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return_value={
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"nspd_zoning": None,
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"nspd_zouit_overlaps": [],
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"nspd_engineering_nearby": [],
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"nspd_dump": {"available": False, "stale": False, "harvest_triggered": False},
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},
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),
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patch("app.api.v1.parcels.compute_velocity", return_value=None),
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patch("app.api.v1.parcels.compute_gate_verdict", return_value={"verdict": "unknown"}),
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]
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def _start_patches() -> list[Any]:
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started = [p.start() for p in _PATCHES]
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return started
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def _stop_patches() -> None:
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for p in _PATCHES:
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p.stop()
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# ── Тесты ─────────────────────────────────────────────────────────────────────
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def test_analyze_no_body_uses_system_defaults() -> None:
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"""POST /analyze без body → source = 'system', нет регрессии."""
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from app.core.db import get_db
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db = _make_db_for_analyze()
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app.dependency_overrides[get_db] = _override_db(db)
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_start_patches()
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try:
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client = TestClient(app)
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resp = client.post(f"/api/v1/parcels/{_CAD}/analyze")
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assert resp.status_code == 200, resp.text
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body = resp.json()
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assert "weights_profile" in body
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assert body["weights_profile"]["source"] == "system"
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assert body["weights_profile"]["inline_weights"] is None
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finally:
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app.dependency_overrides.clear()
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_stop_patches()
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def test_analyze_inline_weights_applied() -> None:
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"""POST /analyze с body.weights → source = 'inline', веса применены."""
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from app.core.db import get_db
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db = _make_db_for_analyze()
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app.dependency_overrides[get_db] = _override_db(db)
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_start_patches()
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try:
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client = TestClient(app)
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resp = client.post(
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f"/api/v1/parcels/{_CAD}/analyze",
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json={"weights": {"kindergarten": 2.5}},
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)
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assert resp.status_code == 200, resp.text
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body = resp.json()
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wp = body["weights_profile"]
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assert wp["source"] == "inline"
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assert wp["inline_weights"] == {"kindergarten": 2.5}
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# applied weights содержат inline override поверх defaults
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assert wp["weights_applied"]["kindergarten"] == pytest.approx(2.5)
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finally:
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app.dependency_overrides.clear()
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_stop_patches()
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def test_analyze_invalid_category_returns_422() -> None:
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"""POST /analyze с невалидной POI-категорией → 422."""
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from app.core.db import get_db
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db = _make_db_for_analyze()
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app.dependency_overrides[get_db] = _override_db(db)
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_start_patches()
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try:
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client = TestClient(app)
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resp = client.post(
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f"/api/v1/parcels/{_CAD}/analyze",
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json={"weights": {"nonexistent_category": 1.0}},
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)
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assert resp.status_code == 422, resp.text
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detail = resp.json()["detail"]
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assert "nonexistent_category" in detail
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finally:
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app.dependency_overrides.clear()
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_stop_patches()
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def test_analyze_weight_out_of_range_returns_422() -> None:
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"""POST /analyze с весом вне [-2, 3] → 422."""
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from app.core.db import get_db
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db = _make_db_for_analyze()
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app.dependency_overrides[get_db] = _override_db(db)
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_start_patches()
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try:
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client = TestClient(app)
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# Слишком большой вес
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resp = client.post(
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f"/api/v1/parcels/{_CAD}/analyze",
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json={"weights": {"school": 99.9}},
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)
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assert resp.status_code == 422, resp.text
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detail = resp.json()["detail"]
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assert "school" in detail
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# Слишком маленький вес
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resp2 = client.post(
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f"/api/v1/parcels/{_CAD}/analyze",
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json={"weights": {"park": -5.0}},
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)
|
||||
assert resp2.status_code == 422, resp2.text
|
||||
assert "park" in resp2.json()["detail"]
|
||||
finally:
|
||||
app.dependency_overrides.clear()
|
||||
_stop_patches()
|
||||
|
||||
|
||||
def test_analyze_inline_weights_beats_profile_id() -> None:
|
||||
"""body.weights + profile_id → body.weights имеет приоритет (source = 'inline')."""
|
||||
from app.core.db import get_db
|
||||
|
||||
db = _make_db_for_analyze()
|
||||
app.dependency_overrides[get_db] = _override_db(db)
|
||||
_start_patches()
|
||||
try:
|
||||
client = TestClient(app)
|
||||
# Передаём и profile_id=1, и inline weights — inline должен победить
|
||||
resp = client.post(
|
||||
f"/api/v1/parcels/{_CAD}/analyze?profile_id=1",
|
||||
json={"weights": {"metro_stop": 2.0}},
|
||||
)
|
||||
assert resp.status_code == 200, resp.text
|
||||
wp = resp.json()["weights_profile"]
|
||||
assert wp["source"] == "inline", f"Ожидали source='inline', получили '{wp['source']}'"
|
||||
assert wp["weights_applied"]["metro_stop"] == pytest.approx(2.0)
|
||||
# profile_id всё ещё присутствует в ответе для трассировки
|
||||
assert wp["profile_id"] == 1
|
||||
finally:
|
||||
app.dependency_overrides.clear()
|
||||
_stop_patches()
|
||||
|
|
@ -147,14 +147,18 @@ function SiteFinderContent() {
|
|||
function handleAnalyze(cadNum: string) {
|
||||
setIsochrones(undefined);
|
||||
setTab("overview");
|
||||
// Priority: named profile → user default profile → inline draft weights.
|
||||
// When activeProfileId is set, backend uses that profile (ignores inline).
|
||||
// When no profile is selected, pass currentWeights as inline so draft
|
||||
// slider values are always respected even without a saved profile (#201).
|
||||
mutate({
|
||||
cad: cadNum,
|
||||
options:
|
||||
activeProfileId != null
|
||||
? { profileId: activeProfileId }
|
||||
: profileUserId
|
||||
? { profileUserId }
|
||||
: undefined,
|
||||
? { profileUserId, weights: currentWeights }
|
||||
: { weights: currentWeights },
|
||||
});
|
||||
}
|
||||
|
||||
|
|
@ -163,10 +167,20 @@ function SiteFinderContent() {
|
|||
profileId: number | null,
|
||||
) {
|
||||
setCurrentWeights(weights);
|
||||
// Store the active profile id so we can pass it to the analyze call.
|
||||
// If user edited weights without saving a named profile, profileId=null
|
||||
// and backend will use system defaults (sub-PR 5 would enable inline weights).
|
||||
setActiveProfileId(profileId);
|
||||
// Re-analyze with the new weights if a parcel is already loaded (#201).
|
||||
if (data?.cad_num) {
|
||||
setIsochrones(undefined);
|
||||
mutate({
|
||||
cad: data.cad_num,
|
||||
options:
|
||||
profileId != null
|
||||
? { profileId }
|
||||
: profileUserId
|
||||
? { profileUserId, weights }
|
||||
: { weights },
|
||||
});
|
||||
}
|
||||
}
|
||||
|
||||
// Derive KPI values from data
|
||||
|
|
|
|||
|
|
@ -44,6 +44,11 @@ export interface AnalyzeOptions {
|
|||
profileId?: number;
|
||||
/** If set together with no profileId, backend uses user's default profile. */
|
||||
profileUserId?: string;
|
||||
/**
|
||||
* Inline POI weights override — sent as request body.
|
||||
* Priority: inline → profileId → profileUserId default → system.
|
||||
*/
|
||||
weights?: Record<string, number> | null;
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -90,11 +95,23 @@ export function useSiteAnalysis() {
|
|||
return qsStr ? `${base}?${qsStr}` : base;
|
||||
};
|
||||
|
||||
// Build optional JSON body for inline weights (#201).
|
||||
const bodyPayload =
|
||||
options?.weights != null
|
||||
? JSON.stringify({ weights: options.weights })
|
||||
: undefined;
|
||||
|
||||
// First request — POST /analyze
|
||||
const first = await apiFetchWithStatus<
|
||||
ParcelAnalysis | AnalyzeAcceptedResponse
|
||||
>(analyzeUrl(cad), {
|
||||
method: "POST",
|
||||
...(bodyPayload
|
||||
? {
|
||||
body: bodyPayload,
|
||||
headers: { "Content-Type": "application/json" },
|
||||
}
|
||||
: {}),
|
||||
});
|
||||
|
||||
if (first.status === 200) {
|
||||
|
|
@ -127,6 +144,12 @@ export function useSiteAnalysis() {
|
|||
// mutation сразу резолвится с data — render skipped.
|
||||
const second = await apiFetch<ParcelAnalysis>(analyzeUrl(cad), {
|
||||
method: "POST",
|
||||
...(bodyPayload
|
||||
? {
|
||||
body: bodyPayload,
|
||||
headers: { "Content-Type": "application/json" },
|
||||
}
|
||||
: {}),
|
||||
});
|
||||
setFetchingState(null);
|
||||
return second;
|
||||
|
|
|
|||
Loading…
Add table
Reference in a new issue