proper fast api suage

backend/.gitignore

@@ -0,0 +1,164 @@
+# osm-cache
+cache/
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# pdm
+#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
+#pdm.lock
+#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
+#   in version control.
+#   https://pdm.fming.dev/latest/usage/project/#working-with-version-control
+.pdm.toml
+.pdm-python
+.pdm-build/
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

backend/Pipfile

@@ -7,8 +7,6 @@ name = "pypi"
 numpy = "*"
 scipy = "*"
 fastapi = "*"
+osmpythontools = "*"
 
 [dev-packages]
-
-[requires]
-python_version = "3.12"

backend/app/main.py

@@ -1,5 +1,5 @@
-from src.optimizer import solve_optimization
-from src.landmarks_manager import Landmark
+from .src.optimizer import solve_optimization
+from .src.landmarks_manager import Landmark
 from fastapi import FastAPI
 
 app = FastAPI()
@@ -30,5 +30,5 @@ def main(max_steps: int, print_details: bool):
     return("max steps :", max_steps, "\n", visiting_order)
 
 
-if __name__ == "__main__":
-    main()
+"""if __name__ == "__main__":
+    main()"""

backend/app/src/landmarks_manager.py

@@ -5,11 +5,16 @@ from dataclasses import dataclass
 
 # Defines the landmark class (aka some place there is to visit)
 @dataclass
-class Landmark :
+class Landmarkkkk :
     name : str
     attractiveness : int
     id : int
     
+@dataclass
+class Landmark :
+    name : str
+    attractiveness : int
+    loc : tuple
 
 # Converts a OSM id to a landmark
 def add_from_id(id: int, score: int) :
@@ -21,7 +26,7 @@ def add_from_id(id: int, score: int) :
         s = 'relation/' + str(id)           # prepare string for query
         obj =  api.query(s)                             # object to add
 
-    return Landmark(obj.tag('name:fr'), score, id)      # create Landmark out of it
+    return Landmarkkkk(obj.tag('name:fr'), score, id)      # create Landmark out of it
 
 
 # take a lsit of tuples (id, score) to generate a list of landmarks