from fastapi import APIRouter
import sqlite3
from numpy import array,mean
from pydantic import BaseModel
UserGetLocationRouter=APIRouter(prefix="/Location")
class DataType(BaseModel):
    Email:str
    Password:str
    Day:str

@UserGetLocationRouter.post("/GetMapLocations")
def adduser(Data:DataType):
    try:
    
        Email=Data.Email
        Password=Data.Password
        Day=Data.Day
        State=False
        
        # pwd_context=CryptContext(schemes=["bcrypt"],deprecated="auto")
        
        
        connect=sqlite3.connect("DataBase/DataBase.bd")
        cursor=connect.execute(f'''
                        SELECT UserId,Password FROM Users where Email='{Email}' 
                        ''')
        
        Data=cursor.fetchall()
        if len(Data) !=0 :
            if Data[0][0]==None:
                return {"Status":False,"Message":"User Is Not Defined Before"}
            HasedPassword=Data[0][1]
            UserId=Data[0][0]
            State=Password==HasedPassword
        if State:
            cursor=connect.execute(f'''
                            SELECT Longtude , Lattitude,Houre FROM TrackeringPoints WHERE  Day='{Day}' and UserId={UserId}
                            ''')
            DataCollected=cursor.fetchall()
            # cursor2=connect.execute(f'''
            #                 SELECT AVG(Longtude) , AVG(Lattitude) TrackeringPoints WHERE  Day='{Day}' and UserId={UserId}
            #                 ''')
            
            
            # PositionsMean=cursor2.fetchall()
            connect.close()
            if len(DataCollected)==0:
                return {
                "Status":True,
                "Data":{
    
                    "PositionData":[],
                    "Time":[],
                    "Mean":[12.3,50]
                    
                }
                    }
            print("DataCollectedprint(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)")
            print("DataCollectedprint(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)")
            print("DataCollectedprint(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)")
            print("DataCollectedprint(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)print(DataCollected)")
            print(DataCollected)
            PositionData=[ [ item[0],item[1]]for item in DataCollected]
            PositionsMean=list(mean(array(PositionData),axis=0))
            Houre=[ item[2] for item in DataCollected]
            
            return {
                "Status":True,
                "Data":{
    
                    "PositionData":PositionData,
                    "Time":Houre,
                    "Mean":PositionsMean
                    
                }
                    }
        else:
            return {"State":False}
    except Exception as e :
        return {"Status":False,"Message":e}