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			v0.0.32
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			e18a9c63e6
		
	
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| 4d99715447 | 
							
								
								
									
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								.vscode/settings.json
									
									
									
									
										vendored
									
									
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								.vscode/settings.json
									
									
									
									
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							@@ -0,0 +1,3 @@
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{
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    "cmake.ignoreCMakeListsMissing": true
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}
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@@ -1,12 +1,37 @@
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# Backend
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This repository contains the backend code for the application. It utilizes FastAPI that allows to quickly create a RESTful API that exposes the endpoints of the route optimizer.
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This repository contains the backend code for the application. It utilizes **FastAPI** to quickly create a RESTful API that exposes the endpoints of the route optimizer.
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## Getting Started
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- The code of the python application is located in the `src` directory.
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- Package management is handled with `pipenv` and the dependencies are listed in the `Pipfile`.
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- Since the application is aimed to be deployed in a container, the `Dockerfile` is provided to build the image.
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### Directory Structure
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- The code for the Python application is located in the `src` directory.
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- Package management is handled with **pipenv**, and the dependencies are listed in the `Pipfile`.
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- Since the application is designed to be deployed in a container, the `Dockerfile` is provided to build the image.
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### Setting Up the Development Environment
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To set up your development environment using **pipenv**, follow these steps:
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1. Install `pipenv` by running:
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    ```bash
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    sudo apt install pipenv
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    ```
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2. Create and activate a virtual environment:
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    ```bash
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    pipenv shell
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    ```
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3. Install the dependencies listed in the `Pipfile`:
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    ```bash
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    pipenv install
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    ```
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4. The virtual environment will be created under:
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    ```bash
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    ~/.local/share/virtualenvs/...
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    ```
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### Deployment
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To deploy the backend docker container, we use kubernetes. Modifications to the backend are automatically pushed to a two-stage environment through the CI pipeline. See [deployment/README](deployment/README.md] for further information.
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@@ -45,7 +45,6 @@ sightseeing:
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    - gallery
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    - artwork
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    - aquarium
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  historic: ''
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  amenity:
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    - planetarium
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@@ -23,7 +23,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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        sightseeing=Preference(type='sightseeing', score = 5),
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        nature=Preference(type='nature', score = 5),
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        shopping=Preference(type='shopping', score = 5),
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        max_time_minute=100,
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        max_time_minute=15,
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        detour_tolerance_minute=0
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    )
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@@ -74,6 +74,7 @@ def test(start_coords: tuple[float, float], finish_coords: tuple[float, float] =
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# test(tuple((48.8344400, 2.3220540)))       # Café Chez César 
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# test(tuple((48.8375946, 2.2949904)))       # Point random
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# test(tuple((47.377859, 8.540585)))         # Zurich HB
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# test(tuple((45.758217, 4.831814)))      # Lyon Bellecour
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test(tuple((48.5848435, 7.7332974)))      # Strasbourg Gare
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# test(tuple((45.758217, 4.831814)))         # Lyon Bellecour
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# test(tuple((48.5848435, 7.7332974)))       # Strasbourg Gare
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# test(tuple((48.2067858, 16.3692340)))      # Vienne
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test(tuple((48.084588, 7.280405)))         # Turckheim 
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@@ -94,6 +94,8 @@ class LandmarkManager:
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        if preferences.shopping.score != 0:
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            score_function = lambda score: score * 10 * preferences.shopping.score / 5
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            current_landmarks = self.fetch_landmarks(bbox, self.amenity_selectors['shopping'], preferences.shopping.type, score_function)
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            # set time for all shopping activites :
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            for landmark in current_landmarks : landmark.duration = 45
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            all_landmarks.update(current_landmarks)
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@@ -246,11 +248,11 @@ class LandmarkManager:
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                image_url = None
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                name_en = None
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                # remove specific tags
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                # Adjust scoring
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                skip = False
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                for tag in elem.tags().keys():
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                    if "pay" in tag:
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                        # payment options are a good sign
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                        # payment options are misleading and should not count for the scoring.
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                        score += self.pay_bonus
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                    if "disused" in tag:
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@@ -263,10 +265,12 @@ class LandmarkManager:
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                        score += self.wikipedia_bonus
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                    if "viewpoint" in tag:
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                        # viewpoints must count more
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                        score += self.viewpoint_bonus
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                        duration = 10
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                    if "image" in tag:
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                        # images must count more
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                        score += self.image_bonus
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                    if elem_type != "nature":
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@@ -282,6 +286,7 @@ class LandmarkManager:
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                            skip = True
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                            break
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                    # Extract image, website and english name
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                    if tag in ['website', 'contact:website']:
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                        website_url = elem.tag(tag)
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                    if tag == 'image':
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@@ -295,10 +300,9 @@ class LandmarkManager:
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                score = score_function(score)
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                if "place_of_worship" in elem.tags().values():
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                    score = score * self.church_coeff
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                    duration = 15
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                    duration = 10
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                elif "museum" in elem.tags().values():
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                    score = score * self.church_coeff
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                elif "museum" in elem.tags().values() or "aquarium" in elem.tags().values() or "planetarium" in elem.tags().values():
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                    duration = 60
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                else:
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@@ -487,7 +487,7 @@ class Optimizer:
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        # Raise error if no solution is found
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        if not res.success :
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            raise ArithmeticError("No solution could be found, the problem is overconstrained. Please adapt your must_dos")
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            raise ArithmeticError("No solution could be found, the problem is overconstrained. Try with a longer trip (>30 minutes).")
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        # If there is a solution, we're good to go, just check for connectiveness
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        order, circles = self.is_connected(res.x)
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@@ -2,6 +2,7 @@ import yaml, logging
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from shapely import buffer, LineString, Point, Polygon, MultiPoint, concave_hull
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from math import pi
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from typing import List
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from structs.landmark import Landmark
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from . import take_most_important, get_time_separation
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@@ -133,6 +134,21 @@ class Refiner :
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            i += 1
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        return tour
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    def integrate_landmarks(self, sub_list: List[Landmark], main_list: List[Landmark]) :
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        """
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        Inserts 'sub_list' of Landmarks inside the 'main_list' by leaving the ends untouched.
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        Args: 
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            sub_list    : the list of Landmarks to be inserted inside of the 'main_list'.
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            main_list   : the original list with start and finish.
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        Returns:
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            the full list.
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        """
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        sub_list.append(main_list[-1])          # add finish back
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        return main_list[:-1] + sub_list        # create full set of possible landmarks
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    def find_shortest_path_through_all_landmarks(self, landmarks: list[Landmark]) -> tuple[list[Landmark], Polygon]:
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@@ -253,6 +269,11 @@ class Refiner :
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        except :
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            better_tour_poly = concave_hull(MultiPoint(coords))  # Create concave hull with "core" of tour leaving out start and finish
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            xs, ys = better_tour_poly.exterior.xy
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            """ 
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            ERROR HERE : 
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                Exception has occurred: AttributeError
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                'LineString' object has no attribute 'exterior'
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            """
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        # reverse the xs and ys
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@@ -315,26 +336,30 @@ class Refiner :
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        self.logger.info(f"Using {len(minor_landmarks)} minor landmarks around the predicted path")
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        # full set of visitable landmarks
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        full_set = base_tour[:-1] + minor_landmarks   # create full set of possible landmarks (without finish)
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        full_set.append(base_tour[-1])                # add finish back
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        # Full set of visitable landmarks.
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        full_set = self.integrate_landmarks(minor_landmarks, base_tour)     # could probably be optimized with less overhead
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        # get a new tour
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        # Generate a new tour with the optimizer.
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        new_tour = self.optimizer.solve_optimization(
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            max_time = max_time + detour,
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            landmarks = full_set, 
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            max_landmarks = self.max_landmarks_refiner
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        )
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        # If unsuccessful optimization, use the base_tour.
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        if new_tour is None:
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            self.logger.warning("No solution found for the refined tour. Returning the initial tour.")
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            new_tour = base_tour
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        # If only one landmark, return it.
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        if len(new_tour) < 4 :
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            return new_tour
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        # Find shortest path using the nearest neighbor heuristic
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        # Find shortest path using the nearest neighbor heuristic.
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        better_tour, better_poly = self.find_shortest_path_through_all_landmarks(new_tour)
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        # Fix the tour using Polygons if the path looks weird
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        # Fix the tour using Polygons if the path looks weird. 
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        # Conditions : circular trip and invalid polygon.
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        if base_tour[0].location == base_tour[-1].location and not better_poly.is_valid :
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            better_tour = self.fix_using_polygon(better_tour)
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@@ -37,7 +37,7 @@ jobs:
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          REF_NAME: ${{ github.ref_name }}
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        run:
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          # remove the 'v' prefix from the tag name
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          echo "VERSION_NAME=${REF_NAME//v}" >> $GITHUB_ENV
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          echo "BUILD_NAME=${REF_NAME//v}" >> $GITHUB_ENV
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      - name: Load secrets from github
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        run: |
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@@ -53,4 +53,6 @@ jobs:
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      - name: Run fastlane lane
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        run: bundle exec fastlane deploy_testing
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        working-directory: android
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        # the environment variable VERSION_NAME is implicitly available
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        env:
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          BUILD_NUMBER: ${{ github.run_number }}
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          # BUILD_NAME is implicitly available
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@@ -5,16 +5,18 @@ default_platform(:android)
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platform :android do
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  desc "Deploy a new version as a preview version"
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  desc "Deploy a new version to closed testing"
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  lane :deploy_testing do
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    version_name = ENV["VERSION_NAME"]
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    build_name = ENV["BUILD_NAME"]
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    build_number = ENV["BUILD_NUMBER"]
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    sh(
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      "flutter",
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      "build",
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      "appbundle",
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      "--release",
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      "--build-name=#{version_name}",
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      "--build-name=#{build_name}",
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      "--build-number=#{build_number}",
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      )
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    upload_to_play_store(
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@@ -32,6 +34,7 @@ platform :android do
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  lane :deploy_release do
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    gradle(
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      task: "clean assembleRelease",
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      # todo update to a flutter call
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      properties: {
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        # loaded from environment
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        "android.injected.version.name" => ENV["VERSION_NAME"],
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