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99 lines
3.2 KiB
99 lines
3.2 KiB
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from sklearn.linear_model import LinearRegression
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import pandas as pd
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import numpy as np
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import requests
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from datetime import datetime, time
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import time as sleep_time
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import logging
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# --------------- Fonction ----------------- #
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def generateJsonModel(model:LinearRegression):
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listCoef = []
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listIntercept = []
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for i in range(0,len(model.coef_)):
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listCoef.append(model.coef_[i][0])
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listIntercept.append(model.intercept_[i])
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json = {"coef":listCoef,"intercept":listIntercept}
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return json
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def generateModele(dataJson:dict[str,str]):
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# -- Préparation des données
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arrayBpm = []
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arrayStartTime = []
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arrayTimeOfActivity = []
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for data in dataJson["Data"]:
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arrayBpm.append(data["BpmAvg"])
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arrayTimeOfActivity.append(data["TimeOfActivity"])
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arrayStartTime.append(data["StartTime"])
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# -- DataFrame
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data = pd.DataFrame({
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"Bpm": arrayBpm,
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"TimeOfActivity": arrayTimeOfActivity
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})
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# -- Régression linéaire
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model = LinearRegression()
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model.fit(np.array(arrayStartTime).reshape(-1,1),data)
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return model
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def getUserWithData(url:str):
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response = requests.get(urlGetAllData)
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if ( response.status_code != 200):
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print('problème lors de l extraction des données avec l api !! -> "getUserWithData" (status_code != 200)')
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exit()
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return response.json
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def sendJsonToApi(url,json):
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response = requests.post(url,json)
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if ( response.status_code != 200):
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print('Problème lors de l envoi des données avec l api !! -> "sendJsonToApi" (status_code != 200)')
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exit()
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return
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# ---------------- Main ------------------- #
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logging.error("RUNNNNNNNN !")
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urlGetAllData = "https://codefirst.iut.uca.fr/containers/SmartFit-smartfit_api/ia/data"
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while(True):
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logging.warning("Info - Début de la boucle")
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jsonBack = { "Users" : []}
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heure_actuelle = datetime.now().time()
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if ( heure_actuelle == time(8, 0)):
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logging.warning("Info - Procédure de création des modèles ")
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# --- Call Api
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dataUser = getUserWithData(url=urlGetAllData)
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for user in dataUser["Users"]:
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jsonTmp = {}
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jsonTmp["Identifiant"] = user["Identifiant"]
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jsonTmp["Info"] = []
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for category in user["Info"]:
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#Mettre la condition longueur ici
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model = generateModele(category)
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jsonTmp["Info"].append({"Category": category["Category"],"Model" : generateJsonModel(model)})
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# Add User
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jsonBack["Users"].append(jsonTmp)
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# -- Send Api
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sendJsonToApi(urlGetAllData,jsonBack)
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logging.warning("Info - Procédure de création des modèles fini ")
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else :
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logging.warning("Info - Début sleep")
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if (heure_actuelle < time(7,0) or heure_actuelle > time(8,0) ):
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logging.warning("Sleep -> 1h")
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sleep_time.sleep(3600) # Pause 1 heure
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elif ( heure_actuelle < time(7,55) ):
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logging.warning("Sleep -> 5m")
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sleep_time.sleep(300) # Pause de 5 minutes
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else :
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logging.warning("Sleep -> 30s")
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sleep_time.sleep(30) # Pause de 30 secondes
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