from odoo import models, fields, api,_
from odoo.exceptions import UserError, ValidationError,Warning
from psycopg2 import sql, DatabaseError

from werkzeug import utils
import json



class opendons_aggregate_partner(models.Model):
    _name = 'opendons.aggregate.partner'
    _description = 'opération marketing : partner agregats'
    
    partner_id = fields.Many2one('res.partner',string='partner',readonly=True)

    first_donation_product_id=fields.Many2one('product.product',string='first donation product affectation',readonly=True)
    first_donation_date=fields.Date(string='first donation date', readonly=True)
    first_donation_operation_id = fields.Many2one('opendon.operation',string='first donation operation',readonly=True)

    
    
    max_amount_donation=fields.Float(string='max amount donation',readonly=True)
    annual_average_number_donation=fields.Float(string='annual average number of donation',readonly=True)
    average_amount_donation=fields.Float(string='average amount donation',readonly=True)
    rfm_score=fields.Float(string='rfm score',readonly=True)

    def compute_aggregate(self):
        
        self._compute_init()
        partners=self.env['res.partner'].search([])
        for partner in partners:
            vals={}
            vals['partner_id']=int(partner.id)
            vals['first_donation_product_id']=self._compute_first_donation_product(partner.id)
            
            #first_donation_date=self._compute_first_donation_date(partner.id)
            vals['first_donation_date']=self._compute_first_donation_date(partner.id)
            
            
            vals['first_donation_operation_id']=self._compute_first_donation_operation(partner.id)
            vals['max_amount_donation']=self._compute_max_amount_donation(partner.id)
            vals['annual_average_number_donation']=self._compute_annual_average_number_donation(partner.id)
            vals['average_amount_donation']=self._compute_average_amount_donation(partner.id)
            #vals['rfm_score']=self._compute_rfm_score(partner_id))
            res=self.env['opendons.aggregate.partner'].create(vals)
            partner.aggregate_id=res.id
    def _compute_init(self):

        aggregate=self.env['opendons.aggregate.partner'].search([])
        aggregate.unlink()
        return True

    def _compute_first_donation_product(self,partner_id):
        
        first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
       
        if first_donation:
            first_line_donation=self.env['donation.line'].search([('donation_id','=',int(first_donation.id))],limit=1,order="id asc")
       
            if first_line_donation:
                    
                    return  int(first_line_donation.product_id)
            
        return False


        
    def _compute_first_donation_operation(self,partner_id):
        
        first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
        if first_donation:
            return int(first_donation.operation_id)
        else:
            return False


        
    def _compute_first_donation_date(self,partner_id):

        first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
        if first_donation:
            return first_donation.donation_date
        else:
            return False

        
    def _compute_max_amount_donation(self,partner_id):
        donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="amount_total desc")
        if donation:
            return donation.amount_total
        else:
            return False
        return True
    def _compute_annual_average_number_donation(self,partner_id):
        annual_donation= self.env['donation.donation'].read_group([('partner_id','=',int(partner_id))], fields=['year_donation_date','partner_id:count'], groupby=['year_donation_date'],lazy=False)
        if annual_donation:
            i=0
            total=0
            for l in annual_donation:
                total=total+l['partner_id']
                i=i+1
            return total/i
        else:
            return 0
        

        return True
    def _compute_average_amount_donation(self,partner_id):
        donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')])
        if donation:
            i=0
            amount=0
            for d in donation:
                amount=amount+d.amount_total
                i=i+1
            return amount/i
        else:
            return 0
        
    def _compute_rfm_score(self,partner_id):
        # Score RFM = Récence * (poids accordé à la Récence) 
        # + Fréquence * (poids accordé à la Fréquence)
        # + Montant * (poids accordé au Montant)
        # recency
        #3-12 months since last donation (Rate them as 5 on your recency score)
        #13-24 months since last donation (Rate them as 4 on your recency score)
        #25-36 months since last donation (Rate them as 3 on your recency score)
        #37-48 months since last donation (Rate them as 2 on your recency score)
        #>49 and over since last donation Rate them as 1 on your recency score)

        #frequency
        #Donated between 21 to 25 times during the last 25 solicited (Rate them as 5 on your frequency score)
        #Donated 16 to 20 times during the last 25 solicited (Rate them as 4 on your frequency score)
        #Donated 11 to 15 times during the last 25 solicited (Rate them as 3 on your frequency score)
        #Donated 6 to 10 times during the last 25 solicited (Rate them as 2 on your frequency score)
        #Donated 1 to 5 times during the last 25 solicited (Rate them as 1 on your frequency score)
        
        #the highest donation amount (monetary value) each donor gave each time, 
        #breaking them up into 5 categories in the last 5 years


        return True