Nitzan Pomerantz
73 lines
2.2 KiB
Python
73 lines
2.2 KiB
Python
"""
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Fast E2E smoke tests for MCP tools (<30 seconds).
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These tests make MINIMAL real API calls to verify the service is working.
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For comprehensive E2E testing, see test_mcp_tools_comprehensive.py
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Target: Complete in <30 seconds
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"""
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import json
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import pytest
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from nadlan_mcp.fastmcp_server import (
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autocomplete_address,
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find_recent_deals_for_address,
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get_deals_by_radius,
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get_street_deals,
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)
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@pytest.mark.integration
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class TestMCPToolsSmokeTests:
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"""Minimal E2E smoke tests to verify API connectivity."""
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# Known working data
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TEST_ADDRESS = "סוקולוב 38 חולון"
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TEST_POLYGON_ID = "52385050"
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TEST_LAT = 3766290.19
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TEST_LON = 3870928.84
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def test_autocomplete_works(self):
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"""Smoke test: Autocomplete returns results."""
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result = autocomplete_address("חולון")
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data = json.loads(result)
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assert isinstance(data, list)
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assert len(data) > 0
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assert "text" in data[0]
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def test_get_street_deals_works(self):
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"""Smoke test: Can fetch street deals."""
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# Use small limit for speed
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result = get_street_deals(self.TEST_POLYGON_ID, limit=5, deal_type=2)
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data = json.loads(result)
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assert "total_deals" in data
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assert data["total_deals"] > 0
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assert "deals" in data
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def test_get_deals_by_radius_works(self):
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"""Smoke test: Can fetch polygon metadata by radius."""
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# Use small radius for speed
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result = get_deals_by_radius(self.TEST_LAT, self.TEST_LON, radius_meters=100)
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data = json.loads(result)
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assert "total_polygons" in data
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assert data["total_polygons"] > 0
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def test_find_recent_deals_minimal(self):
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"""Smoke test: Main tool works with minimal data."""
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# Use very small limits to speed up
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result = find_recent_deals_for_address(
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self.TEST_ADDRESS, years_back=1, radius_meters=30, max_deals=10
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)
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data = json.loads(result)
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# Just verify structure, don't check counts
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assert "search_parameters" in data
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assert "market_statistics" in data
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assert "deals" in data
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assert isinstance(data["deals"], list)
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