1 # -*- coding: utf-8 -*-
2 ##############################################################################
4 # OpenERP, Open Source Management Solution
5 # Copyright (C) 2004-2010 Tiny SPRL (<http://tiny.be>).
7 # This program is free software: you can redistribute it and/or modify
8 # it under the terms of the GNU Affero General Public License as
9 # published by the Free Software Foundation, either version 3 of the
10 # License, or (at your option) any later version.
12 # This program is distributed in the hope that it will be useful,
13 # but WITHOUT ANY WARRANTY; without even the implied warranty of
14 # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
15 # GNU Affero General Public License for more details.
17 # You should have received a copy of the GNU Affero General Public License
18 # along with this program. If not, see <http://www.gnu.org/licenses/>.
20 ##############################################################################
26 import simplejson as json
30 from openerp.osv import osv
31 from openerp.osv import fields
32 from openerp.tools.translate import _
33 from openerp import tools
36 url = 'https://maps.googleapis.com/maps/api/geocode/json?sensor=false&address='
37 url += urllib.quote(addr.encode('utf8'))
40 result = json.load(urllib.urlopen(url))
42 raise osv.except_osv(_('Network error'),
43 _('Cannot contact geolocation servers. Please make sure that your internet connection is up and running (%s).') % e)
44 if result['status'] != 'OK':
48 geo = result['results'][0]['geometry']['location']
49 return float(geo['lat']), float(geo['lng'])
50 except (KeyError, ValueError):
53 def geo_query_address(street=None, zip=None, city=None, state=None, country=None):
54 if country and ',' in country and (country.endswith(' of') or country.endswith(' of the')):
55 # put country qualifier in front, otherwise GMap gives wrong results,
56 # e.g. 'Congo, Democratic Republic of the' => 'Democratic Republic of the Congo'
57 country = '{1} {0}'.format(*country.split(',',1))
58 return tools.ustr(', '.join(filter(None, [street,
59 ("%s %s" % (zip or '', city or '')).strip(),
63 class res_partner_grade(osv.osv):
65 _name = 'res.partner.grade'
67 'sequence': fields.integer('Sequence'),
68 'active': fields.boolean('Active'),
69 'name': fields.char('Grade Name', size=32)
72 'active': lambda *args: 1
75 class res_partner_activation(osv.osv):
76 _name = 'res.partner.activation'
80 'sequence' : fields.integer('Sequence'),
81 'name' : fields.char('Name', size=32, required=True),
85 class res_partner(osv.osv):
86 _inherit = "res.partner"
88 'partner_latitude': fields.float('Geo Latitude'),
89 'partner_longitude': fields.float('Geo Longitude'),
90 'date_localization': fields.date('Geo Localization Date'),
91 'partner_weight': fields.integer('Weight',
92 help="Gives the probability to assign a lead to this partner. (0 means no assignation.)"),
93 'opportunity_assigned_ids': fields.one2many('crm.lead', 'partner_assigned_id',\
94 'Assigned Opportunities'),
95 'grade_id': fields.many2one('res.partner.grade', 'Partner Level'),
96 'activation' : fields.many2one('res.partner.activation', 'Activation', select=1),
97 'date_partnership' : fields.date('Partnership Date'),
98 'date_review' : fields.date('Latest Partner Review'),
99 'date_review_next' : fields.date('Next Partner Review'),
102 'partner_weight': lambda *args: 0
104 def geo_localize(self, cr, uid, ids, context=None):
105 # Don't pass context to browse()! We need country names in english below
106 for partner in self.browse(cr, uid, ids):
109 result = geo_find(geo_query_address(street=partner.street,
112 state=partner.state_id.name,
113 country=partner.country_id.name))
115 self.write(cr, uid, [partner.id], {
116 'partner_latitude': result[0],
117 'partner_longitude': result[1],
118 'date_localization': fields.date.context_today(self,cr,uid,context=context)
122 class crm_lead(osv.osv):
123 _inherit = "crm.lead"
125 'partner_latitude': fields.float('Geo Latitude'),
126 'partner_longitude': fields.float('Geo Longitude'),
127 'partner_assigned_id': fields.many2one('res.partner', 'Assigned Partner', help="Partner this case has been forwarded/assigned to.", select=True),
128 'date_assign': fields.date('Assignation Date', help="Last date this case was forwarded/assigned to a partner"),
130 def _merge_data(self, cr, uid, ids, oldest, fields, context=None):
131 fields += ['partner_latitude', 'partner_longitude', 'partner_assigned_id', 'date_assign']
132 return super(crm_lead, self)._merge_data(cr, uid, ids, oldest, fields, context=context)
134 def onchange_assign_id(self, cr, uid, ids, partner_assigned_id, context=None):
135 """This function updates the "assignation date" automatically, when manually assign a partner in the geo assign tab
137 if not partner_assigned_id:
138 return {'value':{'date_assign': False}}
140 partners = self.pool.get('res.partner').browse(cr, uid, [partner_assigned_id], context=context)
141 user_id = partners[0] and partners[0].user_id.id or False
143 {'date_assign': fields.date.context_today(self,cr,uid,context=context),
147 def action_assign_partner(self, cr, uid, ids, context=None):
148 return self.assign_partner(cr, uid, ids, partner_id=False, context=context)
150 def assign_partner(self, cr, uid, ids, partner_id=False, context=None):
153 res_partner = self.pool.get('res.partner')
155 partner_ids = self.search_geo_partner(cr, uid, ids, context=context)
156 for lead in self.browse(cr, uid, ids, context=context):
158 partner_id = partner_ids.get(lead.id, False)
161 self.assign_geo_localize(cr, uid, [lead.id], lead.partner_latitude, lead.partner_longitude, context=context)
162 partner = res_partner.browse(cr, uid, partner_id, context=context)
164 salesteam_id = partner.section_id and partner.section_id.id or False
166 self.allocate_salesman(cr, uid, [lead_id], [partner.user_id.id], team_id=salesteam_id, context=context)
167 self.write(cr, uid, [lead.id], {'date_assign': fields.date.context_today(self,cr,uid,context=context), 'partner_assigned_id': partner_id}, context=context)
170 def assign_geo_localize(self, cr, uid, ids, latitude=False, longitude=False, context=None):
171 if latitude and longitude:
172 self.write(cr, uid, ids, {
173 'partner_latitude': latitude,
174 'partner_longitude': longitude
177 # Don't pass context to browse()! We need country name in english below
178 for lead in self.browse(cr, uid, ids):
179 if not lead.country_id:
181 result = geo_find(geo_query_address(street=lead.street,
184 state=lead.state_id.name,
185 country=lead.country_id.name))
187 self.write(cr, uid, [lead.id], {
188 'partner_latitude': result[0],
189 'partner_longitude': result[1]
193 def search_geo_partner(self, cr, uid, ids, context=None):
194 res_partner = self.pool.get('res.partner')
196 self.assign_geo_localize(cr, uid, ids, context=context)
197 for lead in self.browse(cr, uid, ids, context=context):
199 if not lead.country_id:
201 latitude = lead.partner_latitude
202 longitude = lead.partner_longitude
203 if latitude and longitude:
204 # 1. first way: in the same country, small area
205 partner_ids = res_partner.search(cr, uid, [
206 ('partner_weight', '>', 0),
207 ('partner_latitude', '>', latitude - 2), ('partner_latitude', '<', latitude + 2),
208 ('partner_longitude', '>', longitude - 1.5), ('partner_longitude', '<', longitude + 1.5),
209 ('country_id', '=', lead.country_id.id),
212 # 2. second way: in the same country, big area
214 partner_ids = res_partner.search(cr, uid, [
215 ('partner_weight', '>', 0),
216 ('partner_latitude', '>', latitude - 4), ('partner_latitude', '<', latitude + 4),
217 ('partner_longitude', '>', longitude - 3), ('partner_longitude', '<' , longitude + 3),
218 ('country_id', '=', lead.country_id.id),
221 # 3. third way: in the same country, extra large area
223 partner_ids = res_partner.search(cr, uid, [
224 ('partner_weight','>', 0),
225 ('partner_latitude','>', latitude - 8), ('partner_latitude','<', latitude + 8),
226 ('partner_longitude','>', longitude - 8), ('partner_longitude','<', longitude + 8),
227 ('country', '=', lead.country_id.id),
230 # 5. fifth way: anywhere in same country
232 # still haven't found any, let's take all partners in the country!
233 partner_ids = res_partner.search(cr, uid, [
234 ('partner_weight', '>', 0),
235 ('country_id', '=', lead.country_id.id),
238 # 6. sixth way: closest partner whatsoever, just to have at least one result
240 # warning: point() type takes (longitude, latitude) as parameters in this order!
241 cr.execute("""SELECT id, distance
242 FROM (select id, (point(partner_longitude, partner_latitude) <-> point(%s,%s)) AS distance FROM res_partner
243 WHERE partner_longitude is not null
244 AND partner_latitude is not null
245 AND partner_weight > 0) AS d
246 ORDER BY distance LIMIT 1""", (longitude, latitude))
247 res = cr.dictfetchone()
249 partner_ids.append(res['id'])
253 for partner in res_partner.browse(cr, uid, partner_ids, context=context):
254 total_weight += partner.partner_weight
255 toassign.append( (partner.id, total_weight) )
257 random.shuffle(toassign) # avoid always giving the leads to the first ones in db natural order!
258 nearest_weight = random.randint(0, total_weight)
259 for partner_id, weight in toassign:
260 if nearest_weight <= weight:
261 res_partner_ids[lead.id] = partner_id
263 return res_partner_ids
266 # vim:expandtab:smartindent:tabstop=4:softtabstop=4:shiftwidth=4: