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142 lines
6.2 KiB
142 lines
6.2 KiB
from odoo import models, fields, api,_
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from odoo.exceptions import UserError, ValidationError,Warning
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from psycopg2 import sql, DatabaseError
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from werkzeug import utils
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import json
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class opendons_aggregate_partner(models.Model):
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_name = 'opendons.aggregate.partner'
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_description = 'opération marketing : partner agregats'
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partner_id = fields.Many2one('res.partner',string='partner',readonly=True)
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first_donation_product_id=fields.Many2one('product.product',string='first donation product affectation',readonly=True)
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first_donation_date=fields.Date(string='first donation date', readonly=True)
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first_donation_operation_id = fields.Many2one('opendon.operation',string='first donation operation',readonly=True)
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max_amount_donation=fields.Float(string='max amount donation',readonly=True)
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annual_average_number_donation=fields.Float(string='annual average number of donation',readonly=True)
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average_amount_donation=fields.Float(string='average amount donation',readonly=True)
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rfm_score=fields.Float(string='rfm score',readonly=True)
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def compute_aggregate(self):
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self._compute_init()
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partners=self.env['res.partner'].search([])
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for partner in partners:
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vals={}
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vals['partner_id']=int(partner.id)
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vals['first_donation_product_id']=self._compute_first_donation_product(partner.id)
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#first_donation_date=self._compute_first_donation_date(partner.id)
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vals['first_donation_date']=self._compute_first_donation_date(partner.id)
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vals['first_donation_operation_id']=self._compute_first_donation_operation(partner.id)
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vals['max_amount_donation']=self._compute_max_amount_donation(partner.id)
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vals['annual_average_number_donation']=self._compute_annual_average_number_donation(partner.id)
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vals['average_amount_donation']=self._compute_average_amount_donation(partner.id)
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#vals['rfm_score']=self._compute_rfm_score(partner_id))
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res=self.env['opendons.aggregate.partner'].create(vals)
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partner.aggregate_id=res.id
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def _compute_init(self):
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aggregate=self.env['opendons.aggregate.partner'].search([])
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aggregate.unlink()
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return True
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def _compute_first_donation_product(self,partner_id):
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first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
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if first_donation:
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first_line_donation=self.env['donation.line'].search([('donation_id','=',int(first_donation.id))],limit=1,order="id asc")
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if first_line_donation:
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return int(first_line_donation.product_id)
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return False
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def _compute_first_donation_operation(self,partner_id):
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first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
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if first_donation:
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return int(first_donation.operation_id)
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else:
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return False
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def _compute_first_donation_date(self,partner_id):
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first_donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="donation_date asc")
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if first_donation:
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return first_donation.donation_date
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else:
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return False
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def _compute_max_amount_donation(self,partner_id):
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donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')],limit=1,order="amount_total desc")
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if donation:
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return donation.amount_total
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else:
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return False
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return True
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def _compute_annual_average_number_donation(self,partner_id):
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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)
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if annual_donation:
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i=0
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total=0
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for l in annual_donation:
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total=total+l['partner_id']
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i=i+1
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return total/i
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else:
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return 0
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return True
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def _compute_average_amount_donation(self,partner_id):
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donation=self.env['donation.donation'].search([('partner_id','=',int(partner_id)),('recurring_template','=',False),('state','=','done')])
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if donation:
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i=0
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amount=0
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for d in donation:
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amount=amount+d.amount_total
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i=i+1
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return amount/i
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else:
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return 0
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def _compute_rfm_score(self,partner_id):
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# Score RFM = Récence * (poids accordé à la Récence)
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# + Fréquence * (poids accordé à la Fréquence)
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# + Montant * (poids accordé au Montant)
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# recency
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#3-12 months since last donation (Rate them as 5 on your recency score)
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#13-24 months since last donation (Rate them as 4 on your recency score)
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#25-36 months since last donation (Rate them as 3 on your recency score)
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#37-48 months since last donation (Rate them as 2 on your recency score)
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#>49 and over since last donation Rate them as 1 on your recency score)
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#frequency
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#Donated between 21 to 25 times during the last 25 solicited (Rate them as 5 on your frequency score)
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#Donated 16 to 20 times during the last 25 solicited (Rate them as 4 on your frequency score)
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#Donated 11 to 15 times during the last 25 solicited (Rate them as 3 on your frequency score)
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#Donated 6 to 10 times during the last 25 solicited (Rate them as 2 on your frequency score)
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#Donated 1 to 5 times during the last 25 solicited (Rate them as 1 on your frequency score)
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#the highest donation amount (monetary value) each donor gave each time,
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#breaking them up into 5 categories in the last 5 years
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return True
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