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@@ -11,7 +11,9 @@ from .structs.preferences import Preferences, Preference
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from .structs.linked_landmarks import LinkedLandmarks
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from .structs.trip import Trip
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from .landmarks.landmarks_manager import LandmarkManager
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from .toilets.toilet_routes import router as toilets_router
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from .toilets.toilets_route import router as toilets_router
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from .optimization.optimization_routes import router as optimization_router
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from .landmarks.landmarks_routes import router as landmarks_router
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from .optimization.optimizer import Optimizer
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from .optimization.refiner import Refiner
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from .overpass.overpass import fill_cache
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@@ -39,13 +41,17 @@ app = FastAPI(lifespan=lifespan)
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app.include_router(toilets_router)
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app.include_router(optimization_router)
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app.include_router(landmarks_router)
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@app.post("/trip/new")
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def new_trip(preferences: Preferences,
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start: tuple[float, float],
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end: tuple[float, float] | None = None,
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background_tasks: BackgroundTasks = None) -> Trip:
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def new_trip(
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preferences: Preferences,
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start: tuple[float, float],
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end: tuple[float, float] | None = None,
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background_tasks: BackgroundTasks = None
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) -> Trip:
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"""
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Main function to call the optimizer.
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@@ -226,44 +232,3 @@ def update_trip_time(trip_uuid: str, removed_landmark_uuid: str) -> Trip:
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return trip
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# TODO: get stuff to do nearby. The idea is to have maybe thhe 3 best things to do within 500m and 2 hidden gems.
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@app.post("/landmarks/get-nearby/{lat}/{lon}")
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def get_landmarks_nearby(lat: float, lon: float) -> list[Landmark] :
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# preferences = {"sightseeing": {"type": "sightseeing", "score": 0},
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# "nature": {"type": "nature", "score": 0},
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# "shopping": {"type": "shopping", "score": 5},
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# "max_time_minute": 30,
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# "detour_tolerance_minute": 0},
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# Find the landmarks around the location
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_, landmarks_around = manager.generate_landmarks_list(
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center_coordinates = (lat, lon),
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preferences = Preferences(
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sightseeing = Preference(
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type='sightseeing',
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score=5
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),
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shopping = Preference(
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type='shopping',
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score=2
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),
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nature = Preference(
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type='nature',
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score=5
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),
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max_time_minute=30,
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detour_tolerance_minute=0),
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allow_clusters=False
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)
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if len(landmarks_around) == 0 :
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raise HTTPException(status_code=500, detail="No landmarks were found.")
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# select 5 landmarks from there
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if len(landmarks_around) > 6 :
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landmarks_around = landmarks_around[:2] + random.sample(landmarks_around[3:], 2)
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logger.info('Suggested landmarks :\n\t' + '\n\t'.join(f'{landmark}' for landmark in landmarks_around))
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return landmarks_around
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