add file genModel

file_test/test.py

@@ -0,0 +1,140 @@
+
+from sklearn.linear_model import LinearRegression
+import pandas as pd 
+import numpy as np
+import requests
+from datetime import datetime, time
+import time as sleep_time
+
+# --------------- Fonction -----------------  #
+def generateJsonModel(model:LinearRegression):
+    listCoef = []
+    listIntercept = []
+    for i in range(0,len(model.coef_)):
+        listCoef.append(model.coef_[i][0])
+        listIntercept.append(model.intercept_[i])
+    json = {"coef":listCoef,"intercept":listIntercept}
+    return json
+
+def generateModele(dataJson:dict[str,str]):
+    # -- Préparation des données 
+    arrayBpm = []
+    arrayStartTime = []
+    arrayTimeOfActivity = []
+
+    for data in dataJson["Data"]:
+        arrayBpm.append(data["BpmAvg"])
+        arrayTimeOfActivity.append(data["TimeOfActivity"])
+
+        arrayStartTime.append(data["StartTime"])
+    # -- DataFrame 
+    data = pd.DataFrame({
+        "Bpm": arrayBpm,
+        "TimeOfActivity": arrayTimeOfActivity
+    })
+    # -- Régression linéaire 
+    model = LinearRegression()
+    model.fit(np.array(arrayStartTime).reshape(-1,1),data)
+    return model
+
+
+def getUserWithData(url:str):
+    response = requests.get(urlGetAllData)
+    if ( response.status_code != 200):
+        print('problème lors de l extraction des données avec l api !! ->  "getUserWithData" (status_code != 200)')
+        exit()
+    return response.json
+
+def sendJsonToApi(url,json):
+    response = requests.post(url,json)
+    if ( response.status_code != 200):
+        print('Problème lors de l envoi des données avec l api !! -> "sendJsonToApi" (status_code != 200)')
+        exit()
+    return
+
+# ---------------- Main ------------------- #
+
+#urlGetAllData = "https://codefirst.iut.uca.fr/containers/SmartFit-smartfit_api/xxx"
+
+#jsonBack = { "Users" : []}
+
+dataUser = {
+    "Users": [
+        {
+            "Identifiant": "x",
+            "Info": [
+                {"Category": "walking", "Data": [{"StartTime": 1234, "BpmAvg": 100,"TimeOfActivity": 1716.5}, {"StartTime" : 123456789,"BpmAvg":100,"TimeOfActivity": 1716.5}]},
+                {"Category": "Cycling", "Data": [{"StartTime": 1234, "BpmAvg": 100,"TimeOfActivity": 1716.5}, {"StartTime" : 123456087,"BpmAvg":100,"TimeOfActivity": 1716.5}]},
+            ]
+        },
+        {   "Identifiant": "x",
+            "Info": [
+                {"Category": "walking", "Data": [{"StartTime": 1234, "BpmAvg": 120,"TimeOfActivity": 1716.5}, {"StartTime" : 123456789,"BpmAvg":120,"TimeOfActivity": 1716.5}]},
+                {"Category": "Cycling", "Data": [{"StartTime": 1234, "BpmAvg": 120,"TimeOfActivity": 1716.5}, {"StartTime" : 123456087,"BpmAvg":120,"TimeOfActivity": 1716.5}]},
+            ]
+        }
+    ]
+}
+'''
+# -- Call Api
+#dataUser = getUserWithData(url=urlGetAllData)
+
+for user in dataUser["Users"]:
+    jsonTmp = {}
+
+    jsonTmp["Identifiant"] = user["Identifiant"]
+    jsonTmp["Info"] = []
+
+    for category in user["Info"]:
+        #Mettre la condition longueur ici
+        model = generateModele(category)
+        jsonTmp["Info"].append({"Category": category["Category"],"Model" : generateJsonModel(model)})
+
+    # Add User
+    jsonBack["Users"].append(jsonTmp)
+print(jsonBack)
+# -- Send Data to Api 
+#sendJsonToApi(urlGetAllData,jsonBack)
+'''
+
+
+
+
+
+
+urlGetAllData = "https://codefirst.iut.uca.fr/containers/SmartFit-smartfit_api/xxx"
+while(True):
+    print("Boucle")
+    jsonBack = { "Users" : []}
+    heure_actuelle = datetime.now().time()
+    if ( heure_actuelle == time(8, 0)):
+        # --- Call Api 
+        #dataUser = getUserWithData(url=urlGetAllData)
+        for user in dataUser["Users"]:
+            jsonTmp = {}
+
+            jsonTmp["Identifiant"] = user["Identifiant"]
+            jsonTmp["Info"] = []
+
+            for category in user["Info"]:
+                #Mettre la condition longueur ici
+                model = generateModele(category)
+                jsonTmp["Info"].append({"Category": category["Category"],"Model" : generateJsonModel(model)})
+
+            # Add User
+            jsonBack["Users"].append(jsonTmp)
+        # -- Send Api 
+        #sendJsonToApi(urlGetAllData,jsonBack)
+    else : 
+        print("Sleep")
+        if (heure_actuelle < time(7,0) and heure_actuelle > time(8,0) ):
+            sleep_time.sleep(3600) # Pause 1 heure 
+        elif ( heure_actuelle < time(7,55) ):
+            sleep_time.sleep(300)  # Pause de 5 minutes
+        else : 
+            sleep_time.sleep(30)  # Pause de 30 secondes
+
+
+
+
+    

generateurModele.py

@@ -0,0 +1,92 @@
+
+from sklearn.linear_model import LinearRegression
+import pandas as pd 
+import numpy as np
+import requests
+from datetime import datetime, time
+import time as sleep_time
+
+# --------------- Fonction -----------------  #
+def generateJsonModel(model:LinearRegression):
+    listCoef = []
+    listIntercept = []
+    for i in range(0,len(model.coef_)):
+        listCoef.append(model.coef_[i][0])
+        listIntercept.append(model.intercept_[i])
+    json = {"coef":listCoef,"intercept":listIntercept}
+    return json
+
+def generateModele(dataJson:dict[str,str]):
+    # -- Préparation des données 
+    arrayBpm = []
+    arrayStartTime = []
+    arrayTimeOfActivity = []
+
+    for data in dataJson["Data"]:
+        arrayBpm.append(data["BpmAvg"])
+        arrayTimeOfActivity.append(data["TimeOfActivity"])
+
+        arrayStartTime.append(data["StartTime"])
+    # -- DataFrame 
+    data = pd.DataFrame({
+        "Bpm": arrayBpm,
+        "TimeOfActivity": arrayTimeOfActivity
+    })
+    # -- Régression linéaire 
+    model = LinearRegression()
+    model.fit(np.array(arrayStartTime).reshape(-1,1),data)
+    return model
+
+
+def getUserWithData(url:str):
+    response = requests.get(urlGetAllData)
+    if ( response.status_code != 200):
+        print('problème lors de l extraction des données avec l api !! ->  "getUserWithData" (status_code != 200)')
+        exit()
+    return response.json
+
+def sendJsonToApi(url,json):
+    response = requests.post(url,json)
+    if ( response.status_code != 200):
+        print('Problème lors de l envoi des données avec l api !! -> "sendJsonToApi" (status_code != 200)')
+        exit()
+    return
+
+# ---------------- Main ------------------- #
+# Mettre la route de l'api ICI
+urlGetAllData = "https://codefirst.iut.uca.fr/containers/SmartFit-smartfit_api/IA"
+while(True):
+    print("Boucle")
+    jsonBack = { "Users" : []}
+    heure_actuelle = datetime.now().time()
+    if ( heure_actuelle == time(8, 0)):
+        # --- Call Api 
+        dataUser = getUserWithData(url=urlGetAllData)
+        for user in dataUser["Users"]:
+            jsonTmp = {}
+
+            jsonTmp["Identifiant"] = user["Identifiant"]
+            jsonTmp["Info"] = []
+
+            for category in user["Info"]:
+                #Mettre la condition longueur ici
+                model = generateModele(category)
+                jsonTmp["Info"].append({"Category": category["Category"],"Model" : generateJsonModel(model)})
+
+            # Add User
+            jsonBack["Users"].append(jsonTmp)
+        # -- Send Api 
+        sendJsonToApi(urlGetAllData,jsonBack)
+    else : 
+        print("Sleep")
+        if (heure_actuelle < time(7,0) and heure_actuelle > time(8,0) ):
+            sleep_time.sleep(3600) # Pause 1 heure 
+        elif ( heure_actuelle < time(7,55) ):
+            sleep_time.sleep(300)  # Pause de 5 minutes
+        else : 
+            sleep_time.sleep(30)  # Pause de 30 secondes
+
+
+
+
+