proper fast api suage
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This commit is contained in:
Kilian Scheidecker 2024-05-29 18:14:40 +02:00
parent 99dc8b5e67
commit ae9860cc8e
6 changed files with 1774 additions and 1006 deletions

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# osm-cache
cache/
# Byte-compiled / optimized / DLL files
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[[source]] [[source]]
url = "https://pypi.org/simple" url = "https://pypi.org/simple"
verify_ssl = true verify_ssl = true
name = "pypi" name = "pypi"
[packages] [packages]
numpy = "*" numpy = "*"
scipy = "*" scipy = "*"
fastapi = "*" fastapi = "*"
osmpythontools = "*"
[dev-packages]
[dev-packages]
[requires]
python_version = "3.12"

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from src.optimizer import solve_optimization from .src.optimizer import solve_optimization
from src.landmarks_manager import Landmark from .src.landmarks_manager import Landmark
from fastapi import FastAPI from fastapi import FastAPI
app = FastAPI() app = FastAPI()
@app.get("/optimize/{max_steps}/{print_details}") @app.get("/optimize/{max_steps}/{print_details}")
def main(max_steps: int, print_details: bool): def main(max_steps: int, print_details: bool):
# CONSTRAINT TO RESPECT MAX NUMBER OF STEPS # CONSTRAINT TO RESPECT MAX NUMBER OF STEPS
#max_steps = 16 #max_steps = 16
# Initialize all landmarks (+ start and goal). Order matters here # Initialize all landmarks (+ start and goal). Order matters here
landmarks = [] landmarks = []
landmarks.append(Landmark("départ", -1, (0, 0))) landmarks.append(Landmark("départ", -1, (0, 0)))
landmarks.append(Landmark("tour eiffel", 99, (0,2))) # PUT IN JSON landmarks.append(Landmark("tour eiffel", 99, (0,2))) # PUT IN JSON
landmarks.append(Landmark("arc de triomphe", 99, (0,4))) landmarks.append(Landmark("arc de triomphe", 99, (0,4)))
landmarks.append(Landmark("louvre", 99, (0,6))) landmarks.append(Landmark("louvre", 99, (0,6)))
landmarks.append(Landmark("montmartre", 99, (0,10))) landmarks.append(Landmark("montmartre", 99, (0,10)))
landmarks.append(Landmark("concorde", 99, (0,8))) landmarks.append(Landmark("concorde", 99, (0,8)))
landmarks.append(Landmark("arrivée", -1, (0, 0))) landmarks.append(Landmark("arrivée", -1, (0, 0)))
visiting_order = solve_optimization(landmarks, max_steps, print_details) visiting_order = solve_optimization(landmarks, max_steps, print_details)
#return visiting_order #return visiting_order
return("max steps :", max_steps, "\n", visiting_order) return("max steps :", max_steps, "\n", visiting_order)
if __name__ == "__main__": """if __name__ == "__main__":
main() main()"""

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from OSMPythonTools.api import Api from OSMPythonTools.api import Api
from OSMPythonTools.overpass import Overpass from OSMPythonTools.overpass import Overpass
from dataclasses import dataclass from dataclasses import dataclass
# Defines the landmark class (aka some place there is to visit) # Defines the landmark class (aka some place there is to visit)
@dataclass @dataclass
class Landmark : class Landmarkkkk :
name : str name : str
attractiveness : int attractiveness : int
id : int id : int
@dataclass
# Converts a OSM id to a landmark class Landmark :
def add_from_id(id: int, score: int) : name : str
attractiveness : int
try : loc : tuple
s = 'way/' + str(id) # prepare string for query
obj = api.query(s) # object to add # Converts a OSM id to a landmark
except : def add_from_id(id: int, score: int) :
s = 'relation/' + str(id) # prepare string for query
obj = api.query(s) # object to add try :
s = 'way/' + str(id) # prepare string for query
return Landmark(obj.tag('name:fr'), score, id) # create Landmark out of it obj = api.query(s) # object to add
except :
s = 'relation/' + str(id) # prepare string for query
# take a lsit of tuples (id, score) to generate a list of landmarks obj = api.query(s) # object to add
def generate_landmarks(ids_and_scores: list) :
return Landmarkkkk(obj.tag('name:fr'), score, id) # create Landmark out of it
L = []
for tup in ids_and_scores :
L.append(add_from_id(tup[0], tup[1])) # take a lsit of tuples (id, score) to generate a list of landmarks
def generate_landmarks(ids_and_scores: list) :
return L
L = []
api = Api() for tup in ids_and_scores :
L.append(add_from_id(tup[0], tup[1]))
l = (7515426, 70) return L
t = (5013364, 100)
n = (201611261, 99) api = Api()
a = (226413508, 50)
m = (23762981, 30)
l = (7515426, 70)
t = (5013364, 100)
ids_and_scores = [t, l, n, a, m] n = (201611261, 99)
a = (226413508, 50)
landmarks = generate_landmarks(ids_and_scores) m = (23762981, 30)
for obj in landmarks : ids_and_scores = [t, l, n, a, m]
landmarks = generate_landmarks(ids_and_scores)
for obj in landmarks :
print(obj) print(obj)

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import fastapi import fastapi
from dataclasses import dataclass from dataclasses import dataclass
@dataclass @dataclass
class Destination: class Destination:
name: str name: str
location: tuple location: tuple
attractiveness: int attractiveness: int
d = Destination() d = Destination()
def get_route() -> list[Destination]: def get_route() -> list[Destination]:
return {"route": "Hello World"} return {"route": "Hello World"}
endpoint = ("/get_route", get_route) endpoint = ("/get_route", get_route)
end end
if __name__ == "__main__": if __name__ == "__main__":
fastapi.run() fastapi.run()