Merge pull request 'hot fix to reintroduce the /trip/new endpoint' (#74) from fix/missing-endpoint-new-trip into main
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Reviewed-on: #74
This commit is contained in:
2025-12-07 17:19:10 +00:00

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@@ -1,12 +1,16 @@
"""Main app for backend api"""
import logging
import yaml
import time
from contextlib import asynccontextmanager
from fastapi import FastAPI, HTTPException
from fastapi import FastAPI, HTTPException, BackgroundTasks
from .logging_config import configure_logging
from .structs.landmark import Landmark
from .structs.preferences import Preferences
from .structs.linked_landmarks import LinkedLandmarks
from .structs.trip import Trip
from .overpass.overpass import fill_cache
from .landmarks.landmarks_manager import LandmarkManager
from .toilets.toilets_router import router as toilets_router
from .optimization.optimization_router import router as optimization_router
@@ -14,6 +18,7 @@ from .landmarks.landmarks_router import router as landmarks_router, get_landmark
from .optimization.optimizer import Optimizer
from .optimization.refiner import Refiner
from .cache import client as cache_client
from .constants import OPTIMIZER_PARAMETERS_PATH
logger = logging.getLogger(__name__)
@@ -53,6 +58,127 @@ app.include_router(toilets_router)
###### TO REMOVE ONCE THE FRONTEND IS UP TO DATE ######
@app.post("/trip/new")
def new_trip(preferences: Preferences,
start: tuple[float, float],
end: tuple[float, float] | None = None,
background_tasks: BackgroundTasks = None) -> Trip:
"""
Main function to call the optimizer.
Args:
preferences : the preferences specified by the user as the post body
start : the coordinates of the starting point
end : the coordinates of the finishing point
Returns:
(uuid) : The uuid of the first landmark in the optimized route
"""
if preferences is None:
raise HTTPException(status_code=406, detail="Preferences not provided or incomplete.")
if (preferences.shopping.score == 0 and
preferences.sightseeing.score == 0 and
preferences.nature.score == 0) :
raise HTTPException(status_code=406, detail="All preferences are 0.")
if start is None:
raise HTTPException(status_code=406, detail="Start coordinates not provided")
if not (-90 <= start[0] <= 90 or -180 <= start[1] <= 180):
raise HTTPException(status_code=422, detail="Start coordinates not in range")
logger.info(f"Requested new trip generation. Details:\n\tCoordinates: {start}\n\tTime: {preferences.max_time_minute}\n\tSightseeing: {preferences.sightseeing.score}\n\tNature: {preferences.nature.score}\n\tShopping: {preferences.shopping.score}")
start_time = time.time()
# Generate the landmarks from the start location
landmarks = manager.generate_landmarks_list(
center_coordinates = start,
preferences = preferences
)
t_generate_landmarks = time.time() - start_time
logger.info(f'Fetched {len(landmarks)} landmarks in \t: {round(t_generate_landmarks,3)} seconds')
start_time = time.time()
logger.info(f"Requested new trip generation. Details:\n\tCoordinates: {start}\n\tTime: {preferences.max_time_minute}\n\tSightseeing: {preferences.sightseeing.score}\n\tNature: {preferences.nature.score}\n\tShopping: {preferences.shopping.score}")
start_landmark = Landmark(
name='start',
type='start',
location=(start[0], start[1]),
osm_type='start',
osm_id=0,
attractiveness=0,
duration=0,
must_do=True,
n_tags = 0
)
end_landmark = Landmark(
name='finish',
type='finish',
location=(end[0], end[1]),
osm_type='end',
osm_id=0,
attractiveness=0,
duration=0,
must_do=True,
n_tags=0
)
# From the parameters load the length at which to truncate the landmarks list.
with OPTIMIZER_PARAMETERS_PATH.open('r') as f:
parameters = yaml.safe_load(f)
n_important = parameters['N_important']
# Truncate to the most important landmarks for a shorter list
landmarks_short = landmarks[:n_important]
# insert start and finish to the shorter landmarks list
landmarks_short.insert(0, start_landmark)
landmarks_short.append(end_landmark)
# First stage optimization
try:
base_tour = optimizer.solve_optimization(preferences.max_time_minute, landmarks_short)
except Exception as exc:
logger.error(f"Trip generation failed: {str(exc)}")
raise HTTPException(status_code=500, detail=f"Optimization failed: {str(exc)}") from exc
t_first_stage = time.time() - start_time
start_time = time.time()
# Second stage optimization
try :
refined_tour = refiner.refine_optimization(
landmarks, base_tour,
preferences.max_time_minute,
preferences.detour_tolerance_minute
)
except Exception as exc :
logger.warning(f"Refiner failed. Proceeding with base trip {str(exc)}")
refined_tour = base_tour
t_second_stage = time.time() - start_time
logger.debug(f'First stage optimization\t: {round(t_first_stage,3)} seconds')
logger.debug(f'Second stage optimization\t: {round(t_second_stage,3)} seconds')
logger.info(f'Total computation time\t: {round(t_first_stage + t_second_stage,3)} seconds')
linked_tour = LinkedLandmarks(refined_tour)
# upon creation of the trip, persistence of both the trip and its landmarks is ensured.
trip = Trip.from_linked_landmarks(linked_tour, cache_client)
logger.info(f'Optimized a trip of {trip.total_time} minutes with {len(refined_tour)} landmarks in {round(t_first_stage + t_second_stage,3)} seconds.')
logger.info('Detailed trip :\n\t' + '\n\t'.join(f'{landmark}' for landmark in refined_tour))
background_tasks.add_task(fill_cache)
return trip
#### For already existing trips/landmarks
@app.get("/trip/{trip_uuid}")
def get_trip(trip_uuid: str) -> Trip: