feat: implement project development module, transfer management features, and industrial AVM model integration

This commit is contained in:
Ho Ngoc Hai
2026-04-18 20:34:35 +07:00
parent 0f3b4d7b0d
commit 38b9def99a
66 changed files with 9051 additions and 17 deletions

View File

@@ -1,11 +1,19 @@
"""Tests for industrial AVM rent estimation endpoint."""
from pathlib import Path
import pytest
from fastapi.testclient import TestClient
from app.main import app
from app.models.avm_industrial import IndustrialAVMRequest
client = TestClient(app)
REPO_ROOT = Path(__file__).resolve().parent.parent
RIDGE_MODEL_DIR = REPO_ROOT / "models"
RIDGE_ARTIFACT = RIDGE_MODEL_DIR / "avm_industrial_park_ridge_v1.pkl"
# ── Minimal valid request payload ───────────────────────────────
_PREDICT_PAYLOAD = {
@@ -178,3 +186,99 @@ def test_predict_industrial_invalid_occupancy():
json={**_PREDICT_PAYLOAD, "park_occupancy_rate": 1.5},
)
assert resp.status_code == 422
# ── Ridge v1 artifact tests (TEC-2768) ───────────────────────────────
_RIDGE_REQ = IndustrialAVMRequest(
province="Bình Dương",
region="south",
park_occupancy_rate=0.85,
park_area_ha=500,
park_age_years=10,
distance_to_port_km=25,
distance_to_airport_km=20,
distance_to_highway_km=2,
property_type="ready_built_factory",
area_m2=5000,
ceiling_height_m=10,
floor_load_ton_m2=3.0,
power_capacity_kva=1500,
building_coverage=0.55,
loading_docks=4,
zoning="general_industrial",
industry_demand_index=0.7,
fdi_province_musd=4800,
labor_cost_province_vnd=8_500_000,
logistics_connectivity_score=0.85,
)
def _fresh_service_with_model_dir(model_dir: Path):
"""Build a fresh service instance pointed at `model_dir`.
Needed because `industrial_avm_service` is a module-level singleton whose
backend is decided at import time.
"""
from app.config import settings
from app.services.avm_industrial_service import IndustrialAVMService
original = settings.model_path
settings.model_path = str(model_dir)
try:
return IndustrialAVMService()
finally:
settings.model_path = original
@pytest.mark.skipif(not RIDGE_ARTIFACT.exists(), reason="ridge artifact not built")
def test_predict_uses_ridge_when_artifact_present():
svc = _fresh_service_with_model_dir(RIDGE_MODEL_DIR)
assert svc._backend == "ridge"
assert svc._model_version == "ridge-industrial-v1"
resp = svc.predict(_RIDGE_REQ)
assert resp.model_version == "ridge-industrial-v1"
assert resp.estimated_rent_usd_m2 > 0
assert resp.rent_range_low_usd_m2 <= resp.estimated_rent_usd_m2
assert resp.rent_range_high_usd_m2 >= resp.estimated_rent_usd_m2
# Conformal band must have strictly positive width.
assert resp.rent_range_high_usd_m2 > resp.rent_range_low_usd_m2
# Confidence should match the stored LOO coverage (≥ 0.75 acceptance).
assert resp.confidence >= 0.75
def test_predict_falls_back_to_heuristic_when_artifact_absent(tmp_path: Path):
svc = _fresh_service_with_model_dir(tmp_path) # empty dir → no artifacts
assert svc._backend == "heuristic"
resp = svc.predict(_RIDGE_REQ)
assert resp.model_version == "heuristic-v1"
assert resp.estimated_rent_usd_m2 > 0
@pytest.mark.skipif(not RIDGE_ARTIFACT.exists(), reason="ridge artifact not built")
def test_ridge_monotonic_occupancy():
svc = _fresh_service_with_model_dir(RIDGE_MODEL_DIR)
low = svc.predict(_RIDGE_REQ.model_copy(update={"park_occupancy_rate": 0.30}))
high = svc.predict(_RIDGE_REQ.model_copy(update={"park_occupancy_rate": 0.95}))
assert high.estimated_rent_usd_m2 >= low.estimated_rent_usd_m2
@pytest.mark.skipif(not RIDGE_ARTIFACT.exists(), reason="ridge artifact not built")
def test_ridge_land_head_conversion():
"""industrial_land requests must convert annual → monthly USD/m²."""
svc = _fresh_service_with_model_dir(RIDGE_MODEL_DIR)
resp = svc.predict(_RIDGE_REQ.model_copy(update={"property_type": "industrial_land"}))
# annual_rent_usd_m2 ≈ 12 × estimated_rent_usd_m2 (with rounding tolerance)
assert resp.estimated_rent_usd_m2 > 0
assert abs(resp.annual_rent_usd_m2 - resp.estimated_rent_usd_m2 * 12) < 0.5
@pytest.mark.skipif(not RIDGE_ARTIFACT.exists(), reason="ridge artifact not built")
def test_ridge_warehouse_head_different_from_factory():
"""Warehouse and factory requests must route to different ridge heads."""
svc = _fresh_service_with_model_dir(RIDGE_MODEL_DIR)
rbf = svc.predict(_RIDGE_REQ.model_copy(update={"property_type": "ready_built_factory"}))
rbw = svc.predict(_RIDGE_REQ.model_copy(update={"property_type": "warehouse"}))
# Training data consistently shows RBF > RBW rents — heads should reflect that.
assert rbf.estimated_rent_usd_m2 != rbw.estimated_rent_usd_m2