kscheidecker
b0f9d31ee2
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- Added landmarks_router.py to handle landmark retrieval based on user preferences and location. - Implemented optimization_router.py for trip optimization, including handling preferences and landmarks. - Created toilets_router.py to fetch toilet locations within a specified radius from a given location. - Enhanced error handling and logging across all new endpoints. - Generated a comprehensive report.html for test results and environment details.
82 lines
3.1 KiB
Python
82 lines
3.1 KiB
Python
"""Collection of tests to ensure correct implementation and track progress."""
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import time
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from fastapi.testclient import TestClient
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import pytest
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from .test_utils import load_trip_landmarks, log_trip_details
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from ..structs.preferences import Preferences, Preference
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from ..main import app
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@pytest.fixture(scope="module")
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def client():
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"""Client used to call the app."""
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return TestClient(app)
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@pytest.mark.parametrize(
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"sightseeing, shopping, nature, max_time_minute, start_coords, end_coords",
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[
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# Edge cases
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(0, 0, 5, 240, [45.7576485, 4.8330241], None), # Lyon, Bellecour - test shopping only
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# Realistic
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(5, 0, 0, 20, [48.0845881, 7.2804050], None), # Turckheim
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(5, 5, 5, 120, [45.7576485, 4.8330241], None), # Lyon, Bellecour
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(5, 2, 5, 240, [50.9423526, 6.9577780], None), # Cologne, centre
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(3, 5, 0, 180, [48.5846589226, 7.74078715721], None), # Strasbourg, centre
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(2, 4, 5, 180, [47.377884227, 8.5395114066], None), # Zurich, centre
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(5, 0, 5, 200, [48.85468881798671, 2.3423925755998374], None), # Paris, centre
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(5, 5, 5, 600, [40.72592726802, -73.9920434795], None), # New York, Lower Manhattan
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]
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)
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def test_trip(client, request, sightseeing, shopping, nature, max_time_minute, start_coords, end_coords):
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start_time = time.time() # Start timer
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prefs = Preferences(
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sightseeing=Preference(type='sightseeing', score=sightseeing),
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shopping=Preference(type='shopping', score=shopping),
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nature=Preference(type='nature', score=nature),
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max_time_minute=max_time_minute,
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detour_tolerance_minute=0,
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)
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start = start_coords
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end = end_coords
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# Step 1: request the list of landmarks in the vicinty of the starting point
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response = client.post(
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"/get/landmarks",
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json={
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"preferences": prefs.model_dump(),
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"start": start_coords,
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"end": end_coords,
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}
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)
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landmarks = response.json()
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# Step 2: Feed the landmarks to the optimizer to compute the trip
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response = client.post(
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"/optimize/trip",
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json={
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"preferences": prefs.model_dump(),
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"landmarks": landmarks,
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"start": start,
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"end": end,
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}
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)
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result = response.json()
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landmarks = load_trip_landmarks(client, result['first_landmark_uuid'])
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# Get computation time
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comp_time = time.time() - start_time
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# Add details to report
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log_trip_details(request, landmarks, result['total_time'], prefs.max_time_minute)
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# checks :
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assert response.status_code == 200 # check for successful planning
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assert comp_time < 30, f"Computation time exceeded 30 seconds: {comp_time:.2f} seconds"
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assert prefs.max_time_minute*0.8 < result['total_time'], f"Trip too short: {result['total_time']} instead of {prefs.max_time_minute}"
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assert prefs.max_time_minute*1.2 > result['total_time'], f"Trip too long: {result['total_time']} instead of {prefs.max_time_minute}"
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