"""Integration test scenarios — 5 Amy stress test cases.
These run the full predict_permits → structure validation chain.
DuckDB-dependent tests (timeline, fees with stats, revision_risk) are
skipped if the database is not available.
"""
import os
import pytest
DB_PATH = os.environ.get(
"SF_PERMITS_DB",
None, # Do NOT default to real DuckDB — use temp DB from conftest fixture
)
# --- Scenario A: Residential Kitchen Remodel ---
@pytest.mark.asyncio
async def test_scenario_a_predict():
from src.tools.predict_permits import predict_permits
result = await predict_permits(
project_description="Gut renovation of residential kitchen in Noe Valley, "
"removing a non-bearing wall, relocating gas line, new electrical panel. Budget $85K.",
estimated_cost=85000,
)
assert "Form 3/8" in result
assert "Confidence" in result
@pytest.mark.asyncio
async def test_scenario_a_fees():
from src.tools.estimate_fees import estimate_fees
result = await estimate_fees(
permit_type="alterations",
estimated_construction_cost=85000,
)
assert "Fee Estimate" in result
assert "$" in result
@pytest.mark.asyncio
async def test_scenario_a_docs():
from src.tools.required_documents import required_documents
result = await required_documents(
permit_forms=["Form 3/8"],
review_path="in_house",
)
assert "Title 24" in result
# --- Scenario B: ADU Over Garage ---
@pytest.mark.asyncio
async def test_scenario_b_predict():
from src.tools.predict_permits import predict_permits
result = await predict_permits(
project_description="Convert detached garage to ADU in the Sunset, 450 sq ft, "
"new plumbing and electrical, fire sprinkler required.",
estimated_cost=180000,
square_footage=450,
)
assert "adu" in result.lower()
assert "in_house" in result.lower() or "in-house" in result.lower()
# --- Scenario C: Commercial TI ---
@pytest.mark.asyncio
async def test_scenario_c_predict():
from src.tools.predict_permits import predict_permits
result = await predict_permits(
project_description="3,000 sq ft office-to-office tenant improvement in Financial District, "
"new HVAC, ADA bathroom upgrades, no change of use.",
estimated_cost=350000,
square_footage=3000,
)
assert "commercial_ti" in result.lower() or "tenant improvement" in result.lower()
# --- Scenario D: Restaurant Conversion ---
@pytest.mark.asyncio
async def test_scenario_d_predict():
from src.tools.predict_permits import predict_permits
result = await predict_permits(
project_description="Convert 1,500 sq ft retail space to restaurant in the Mission. "
"Need grease trap, hood ventilation, ADA compliance, new signage.",
estimated_cost=250000,
square_footage=1500,
)
assert "restaurant" in result.lower()
assert "Planning" in result
assert "DPH" in result or "Health" in result
assert "SFFD" in result or "Fire" in result
@pytest.mark.asyncio
async def test_scenario_d_docs():
from src.tools.required_documents import required_documents
result = await required_documents(
permit_forms=["Form 3/8"],
review_path="in_house",
agency_routing=["Planning", "SFFD (Fire)", "DPH (Public Health)"],
project_type="restaurant",
triggers=["change_of_use"],
)
assert "Grease interceptor" in result
assert "Hood" in result or "hood" in result
# --- Scenario E: Historic Building Renovation ---
@pytest.mark.asyncio
async def test_scenario_e_predict():
from src.tools.predict_permits import predict_permits
result = await predict_permits(
project_description="Major renovation of a 1906 building in Pacific Heights, "
"historic district. Seismic retrofit, all new mechanical/electrical/plumbing systems, "
"adding an elevator.",
estimated_cost=2500000,
square_footage=5000,
)
assert "historic" in result.lower()
assert "seismic" in result.lower()
assert "in_house" in result.lower() or "in-house" in result.lower()
assert "Planning" in result
@pytest.mark.asyncio
async def test_scenario_e_docs():
from src.tools.required_documents import required_documents
result = await required_documents(
permit_forms=["Form 3/8"],
review_path="in_house",
agency_routing=["Planning", "SFFD (Fire)"],
triggers=["historic", "seismic"],
)
assert "Secretary of Interior" in result or "Historic" in result
assert "Structural engineering" in result or "structural" in result.lower()
