more testing and better pylint score
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File diff suppressed because one or more lines are too long
@ -39,6 +39,8 @@ def new_trip(preferences: Preferences, start: tuple[float, float], end: tuple[fl
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raise HTTPException(status_code=406, detail="All preferences are 0.")
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if start is None:
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raise HTTPException(status_code=406, detail="Start coordinates not provided")
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if not (-90 <= start[0] <= 90 or -180 <= start[1] <= 180):
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raise HTTPException(status_code=423, detail="Start coordinates not in range")
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if end is None:
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end = start
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logger.info("No end coordinates provided. Using start=end.")
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@ -59,10 +61,10 @@ def new_trip(preferences: Preferences, start: tuple[float, float], end: tuple[fl
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# First stage optimization
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try:
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base_tour = optimizer.solve_optimization(preferences.max_time_minute, landmarks_short)
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except ArithmeticError:
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raise HTTPException(status_code=500, detail="No solution found")
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except TimeoutError:
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raise HTTPException(status_code=500, detail="Optimzation took too long")
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except ArithmeticError as exc:
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raise HTTPException(status_code=500, detail="No solution found") from exc
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except TimeoutError as exc:
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raise HTTPException(status_code=500, detail="Optimzation took too long") from exc
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# Second stage optimization
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refined_tour = refiner.refine_optimization(landmarks, base_tour, preferences.max_time_minute, preferences.detour_tolerance_minute)
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@ -88,8 +90,8 @@ def get_trip(trip_uuid: str) -> Trip:
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try:
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trip = cache_client.get(f"trip_{trip_uuid}")
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return trip
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except KeyError:
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raise HTTPException(status_code=404, detail="Trip not found")
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except KeyError as exc:
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raise HTTPException(status_code=404, detail="Trip not found") from exc
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@app.get("/landmark/{landmark_uuid}")
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@ -106,5 +108,5 @@ def get_landmark(landmark_uuid: str) -> Landmark:
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try:
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landmark = cache_client.get(f"landmark_{landmark_uuid}")
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return landmark
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except KeyError:
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raise HTTPException(status_code=404, detail="Landmark not found")
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except KeyError as exc:
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raise HTTPException(status_code=404, detail="Landmark not found") from exc
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@ -71,8 +71,10 @@ sightseeing:
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- castle
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- museum
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museums:
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tourism:
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- museum
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- aquarium
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# to be used later on
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restauration:
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@ -28,7 +28,7 @@ class DummyClient:
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dictionary.
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"""
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_data = {}
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def set(self, key, value, **kwargs):
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def set(self, key, value, **kwargs): # pylint: disable=unused-argument
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"""
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Store a key-value pair in the internal dictionary.
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@ -39,7 +39,7 @@ class DummyClient:
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"""
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self._data[key] = value
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def set_many(self, data, **kwargs):
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def set_many(self, data, **kwargs): # pylint: disable=unused-argument
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"""
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Update the internal dictionary with multiple key-value pairs.
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@ -49,7 +49,7 @@ class DummyClient:
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"""
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self._data.update(data)
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def get(self, key, **kwargs):
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def get(self, key, **kwargs): # pylint: disable=unused-argument
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"""
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Retrieve the value associated with the given key.
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@ -71,9 +71,11 @@ class Landmark(BaseModel) :
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time to the next landmark (if available), and whether the landmark is secondary.
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"""
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time_to_next_str = f", time_to_next={self.time_to_reach_next}" if self.time_to_reach_next else ""
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is_secondary_str = f", secondary" if self.is_secondary else ""
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is_secondary_str = ", secondary" if self.is_secondary else ""
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type_str = '(' + self.type + ')'
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if self.type in ["start", "finish", "nature", "shopping"] : type_str += '\t '
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if self.type in ["start", "finish", "nature", "shopping"] :
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type_str += '\t '
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return f'Landmark{type_str}: [{self.name} @{self.location}, score={self.attractiveness}{time_to_next_str}{is_secondary_str}]'
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def distance(self, value: 'Landmark') -> float:
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@ -11,7 +11,7 @@ class LinkedLandmarks:
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to reference the next landmark in the list. This is not very efficient, but appropriate for the expected use case
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("short" trips with onyl few landmarks).
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"""
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_landmarks = list[Landmark]
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total_time: int = 0
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@ -30,5 +30,5 @@ class Preferences(BaseModel) :
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# Shopping (diriger plutôt vers des zones / rues commerçantes)
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shopping : Preference
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max_time_minute: Optional[int] = 6*60
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max_time_minute: Optional[int] = 3*60
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detour_tolerance_minute: Optional[int] = 0
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@ -25,7 +25,7 @@ class Trip(BaseModel):
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@classmethod
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def from_linked_landmarks(self, landmarks: LinkedLandmarks, cache_client: Client) -> "Trip":
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def from_linked_landmarks(cls, landmarks: LinkedLandmarks, cache_client: Client) -> "Trip":
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"""
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Initialize a new Trip object and ensure it is stored in the cache.
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"""
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62
backend/src/tests/test_invalid_input.py
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62
backend/src/tests/test_invalid_input.py
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@ -0,0 +1,62 @@
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"""Collection of tests to ensure correct handling of invalid input."""
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from fastapi.testclient import TestClient
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import pytest
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from ..main import app
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@pytest.fixture(scope="module")
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def invalid_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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"start,preferences,status_code",
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[
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# Invalid case: no preferences at all.
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([48.8566, 2.3522], {}, 422),
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# Invalid cases: incomplete preferences.
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([48.084588, 7.280405], {"sightseeing": {"type": "nature", "score": 5}, # no shopping
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"nature": {"type": "nature", "score": 5},
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}, 422),
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([48.084588, 7.280405], {"sightseeing": {"type": "nature", "score": 5}, # no nature
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"shopping": {"type": "shopping", "score": 5},
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}, 422),
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([48.084588, 7.280405], {"nature": {"type": "nature", "score": 5}, # no sightseeing
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"shopping": {"type": "shopping", "score": 5},
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}, 422),
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# Invalid cases: unexisting coords
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([91, 181], {"sightseeing": {"type": "nature", "score": 5},
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"nature": {"type": "nature", "score": 5},
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"shopping": {"type": "shopping", "score": 5},
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}, 423),
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([-91, 181], {"sightseeing": {"type": "nature", "score": 5},
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"nature": {"type": "nature", "score": 5},
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"shopping": {"type": "shopping", "score": 5},
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}, 423),
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([91, -181], {"sightseeing": {"type": "nature", "score": 5},
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"nature": {"type": "nature", "score": 5},
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"shopping": {"type": "shopping", "score": 5},
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}, 423),
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([-91, -181], {"sightseeing": {"type": "nature", "score": 5},
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"nature": {"type": "nature", "score": 5},
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"shopping": {"type": "shopping", "score": 5},
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}, 423),
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]
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)
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def test_input(invalid_client, start, preferences, status_code): # pylint: disable=redefined-outer-name
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"""
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Test new trip creation with different sets of preferences and locations.
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"""
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response = invalid_client.post(
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"/trip/new",
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json={
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"preferences": preferences,
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"start": start
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}
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)
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assert response.status_code == status_code
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@ -1,38 +1,20 @@
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"""Collection of tests to ensure correct implementation and track progress. """
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from typing import List
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from fastapi.testclient import TestClient
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import pytest
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from .test_utils import landmarks_to_osmid, load_trip_landmarks, log_trip_details
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from ..main import app
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from ..structs.landmark import Landmark
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@pytest.fixture()
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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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def test_new_trip_invalid_prefs(client):
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def test_turckheim(client, request): # pylint: disable=redefined-outer-name
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"""
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Test n°1 : base test for checking if the API returns correct error code when no preferences are specified.
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Args:
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client:
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"""
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response = client.post(
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"/trip/new",
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json={
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"preferences": {},
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"start": [48.8566, 2.3522]
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}
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)
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assert response.status_code == 422
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def test_turckheim(client, request):
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"""
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Test n°2 : Custom test in Turckheim to ensure small villages are also supported.
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Test n°1 : Custom test in Turckheim to ensure small villages are also supported.
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Args:
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client:
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@ -42,7 +24,11 @@ def test_turckheim(client, request):
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response = client.post(
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"/trip/new",
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json={
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"preferences": {"sightseeing": {"type": "sightseeing", "score": 5}, "nature": {"type": "nature", "score": 5}, "shopping": {"type": "shopping", "score": 5}, "max_time_minute": duration_minutes, "detour_tolerance_minute": 0},
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"preferences": {"sightseeing": {"type": "sightseeing", "score": 5},
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"nature": {"type": "nature", "score": 5},
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"shopping": {"type": "shopping", "score": 5},
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"max_time_minute": duration_minutes,
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"detour_tolerance_minute": 0},
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"start": [48.084588, 7.280405]
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}
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)
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@ -59,16 +45,15 @@ def test_turckheim(client, request):
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assert len(landmarks) > 2 # check that there is something to visit
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# Test no. 3
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def test_bellecour(client, request) :
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def test_bellecour(client, request) : # pylint: disable=redefined-outer-name
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"""
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Test n°3 : Custom test in Lyon centre to ensure proper decision making in crowded area.
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Test n°2 : Custom test in Lyon centre to ensure proper decision making in crowded area.
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Args:
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client:
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request:
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"""
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duration_minutes = 60
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duration_minutes = 30
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response = client.post(
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"/trip/new",
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json={
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@ -90,89 +75,6 @@ def test_bellecour(client, request) :
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def landmarks_to_osmid(landmarks: List[Landmark]) -> List[int] :
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"""
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Convert the list of landmarks into a list containing their osm ids for quick landmark checking.
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Args :
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landmarks (list): the list of landmarks
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Returns :
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ids (list) : the list of corresponding OSM ids
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"""
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ids = []
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for landmark in landmarks :
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ids.append(landmark.osm_id)
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return ids
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def fetch_landmark(client, landmark_uuid: str):
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"""
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Fetch landmark data from the API based on the landmark UUID.
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Args:
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landmark_uuid (str): The UUID of the landmark.
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Returns:
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dict: Landmark data fetched from the API.
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"""
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response = client.get(f"/landmark/{landmark_uuid}")
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if response.status_code != 200:
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raise Exception(f"Failed to fetch landmark with UUID {landmark_uuid}: {response.status_code}")
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json_data = response.json()
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if "detail" in json_data:
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raise Exception(json_data["detail"])
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return json_data
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def load_trip_landmarks(client, first_uuid: str) -> List[Landmark]:
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"""
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Load all landmarks for a trip using the response from the API.
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Args:
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first_uuid (str) : The first UUID of the landmark.
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Returns:
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landmarks (list) : An list containing all landmarks for the trip.
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"""
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landmarks = []
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next_uuid = first_uuid
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while next_uuid is not None:
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landmark_data = fetch_landmark(client, next_uuid)
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# # Convert UUIDs to strings explicitly
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# landmark_data = {
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# key: str(value) if isinstance(value, UUID) else value
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# for key, value in landmark_data.items()
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# }
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landmarks.append(Landmark(**landmark_data)) # Create Landmark objects
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next_uuid = landmark_data.get('next_uuid') # Prepare for the next iteration
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return landmarks
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def log_trip_details(request, landmarks: List[Landmark], duration: int, target_duration: int) :
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"""
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Allows to show the detailed trip in the html test report.
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Args:
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request:
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landmarks (list): the ordered list of visited landmarks
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duration (int): the total duration of this trip
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target_duration(int): the target duration of this trip
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"""
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trip_string = [f"{landmark.name} ({landmark.attractiveness} | {landmark.duration}) - {landmark.time_to_reach_next}" for landmark in landmarks]
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# Pass additional info to pytest for reporting
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request.node.trip_details = trip_string
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request.node.trip_duration = str(duration) # result['total_time']
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request.node.target_duration = str(target_duration)
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# def test_new_trip_single_prefs(client):
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# response = client.post(
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# "/trip/new",
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@ -185,5 +87,4 @@ def log_trip_details(request, landmarks: List[Landmark], duration: int, target_d
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# def test_new_trip_matches_prefs(client):
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# # todo
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# pass
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89
backend/src/tests/test_utils.py
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89
backend/src/tests/test_utils.py
Normal file
@ -0,0 +1,89 @@
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"""Helper methods for testing."""
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from typing import List
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from fastapi import HTTPException
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from ..structs.landmark import Landmark
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def landmarks_to_osmid(landmarks: List[Landmark]) -> List[int] :
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"""
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Convert the list of landmarks into a list containing their osm ids for quick landmark checking.
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Args :
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landmarks (list): the list of landmarks
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Returns :
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ids (list) : the list of corresponding OSM ids
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"""
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ids = []
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for landmark in landmarks :
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ids.append(landmark.osm_id)
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return ids
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def fetch_landmark(client, landmark_uuid: str):
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"""
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Fetch landmark data from the API based on the landmark UUID.
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Args:
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landmark_uuid (str): The UUID of the landmark.
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Returns:
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dict: Landmark data fetched from the API.
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"""
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response = client.get(f"/landmark/{landmark_uuid}")
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if response.status_code != 200:
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raise HTTPException(status_code=999, detail=f"Failed to fetch landmark with UUID {landmark_uuid}: {response.status_code}")
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json_data = response.json()
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if "detail" in json_data:
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raise HTTPException(status_code=999, detail=json_data["detail"])
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return json_data
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def load_trip_landmarks(client, first_uuid: str) -> List[Landmark]:
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"""
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Load all landmarks for a trip using the response from the API.
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Args:
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first_uuid (str) : The first UUID of the landmark.
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Returns:
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landmarks (list) : An list containing all landmarks for the trip.
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"""
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landmarks = []
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next_uuid = first_uuid
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while next_uuid is not None:
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landmark_data = fetch_landmark(client, next_uuid)
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# # Convert UUIDs to strings explicitly
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# landmark_data = {
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# key: str(value) if isinstance(value, UUID) else value
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# for key, value in landmark_data.items()
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# }
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landmarks.append(Landmark(**landmark_data)) # Create Landmark objects
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next_uuid = landmark_data.get('next_uuid') # Prepare for the next iteration
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return landmarks
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def log_trip_details(request, landmarks: List[Landmark], duration: int, target_duration: int) :
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"""
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Allows to show the detailed trip in the html test report.
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Args:
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request:
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landmarks (list): the ordered list of visited landmarks
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duration (int): the total duration of this trip
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target_duration(int): the target duration of this trip
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"""
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trip_string = [f"{landmark.name} ({landmark.attractiveness} | {landmark.duration}) - {landmark.time_to_reach_next}" for landmark in landmarks]
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# Pass additional info to pytest for reporting
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request.node.trip_details = trip_string
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request.node.trip_duration = str(duration) # result['total_time']
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request.node.target_duration = str(target_duration)
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