Raphael Collet
31025540c4
The caller of `read_group` can now provide the aggregating function to use for
a given field:
# set aggregating operator for fields 'foo' and 'bar'
model.read_group(domain, ['foo:sum', 'bar:avg'], ...)
One can also aggregate the same field several times, by giving a specific
output name for each:
# aggregate 'foo' with both 'min' and 'max'
model.read_group(domain, ['foomin:min(foo)', 'foomax:max(foo)'], ...)
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# -*- coding: utf-8 -*-
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from odoo import fields, models
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class GroupOnDate(models.Model):
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_name = 'test_read_group.on_date'
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date = fields.Date("Date")
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value = fields.Integer("Value")
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class BooleanAggregate(models.Model):
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_name = 'test_read_group.aggregate.boolean'
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_order = 'key DESC'
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key = fields.Integer()
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bool_and = fields.Boolean(default=False, group_operator='bool_and')
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bool_or = fields.Boolean(default=False, group_operator='bool_or')
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bool_array = fields.Boolean(default=False, group_operator='array_agg')
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class Aggregate(models.Model):
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_name = 'test_read_group.aggregate'
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_order = 'id'
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key = fields.Integer()
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value = fields.Integer("Value")
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partner_id = fields.Many2one('res.partner')
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class GroupOnSelection(models.Model):
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_name = 'test_read_group.on_selection'
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state = fields.Selection([('a', "A"), ('b', "B")], group_expand='_expand_states')
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value = fields.Integer()
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def _expand_states(self, states, domain, order):
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# return all possible states, in order
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return [key for key, val in type(self).state.selection]
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