from fastapi import FastAPI, APIRouter import numpy as np import pandas as pd router = APIRouter(tags=["Get requests"]) # Making relative paths. On windows slashes would be backwards # Though, it is probably not a good way. And the API has to be activated # from the project dir, for the paths to match. relPathTeams = "AllAboutData/Data/NBAteams.csv" relPathPlayers = "AllAboutData/Data/Players/" def getTeamNames(): ''' Returns dictionary with fetched teams' names as keys and full_names as values. ''' teamsDf = pd.read_csv(relPathTeams).to_dict() team_names = {} for el in range(len(teamsDf["name"])): team_names.update({teamsDf["name"][el] : teamsDf["full_name"][el]}) return team_names @router.get("/teams") def getTeams(): # Converting the data and converting into dict to send teamsDf = pd.read_csv(relPathTeams).to_dict() teams_dict = {} for el in range(len(teamsDf["name"])): teams_dict.update({el+1 : {"Abbreviation" : teamsDf["abbreviation"][el], "Name" : teamsDf["name"][el], "FullName" : teamsDf["full_name"][el], "City" : teamsDf["city"][el], "Conference" : teamsDf["conference"][el], "Division" : teamsDf["division"][el]} }) return teams_dict @router.get("/players/{team_name}") def getPlayers(team_name: str): teamNames = getTeamNames() team_name = team_name.capitalize() # Capitalizing in case url is given as lowercase if team_name in teamNames.keys(): playersDf = pd.read_csv(relPathPlayers+teamNames[team_name]+".csv") playersDf = playersDf.replace({np.nan:None}) # For Json Nan must be replaced players_dict = {} for el in range(len(playersDf["first_name"])): players_dict.update({el+1 : {"first_name" : playersDf["first_name"][el], "last_name" : playersDf["last_name"][el], "position" : playersDf["position"][el], "height_feet" : playersDf["height_feet"][el], "height_inches" : playersDf["height_inches"][el]} }) return players_dict else: return {"Error 404" : "Team name Not Found"}