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import json
from datetime import date
from unittest.mock import patch
from odoo import http
from odoo.tests import common, tagged
from odoo.tools.misc import get_lang
from odoo.addons.web.controllers.export import ExportXlsxWriter
class XlsxCreatorCase(common.HttpCase):
def setUp(self):
super().setUp()
self.model_name = 'export.aggregator'
self.model = self.env[self.model_name]
self.session = self.authenticate('admin', 'admin')
self.worksheet = {} # mock worksheet
self.default_params = {
'domain': [],
'fields': [{'name': field.name, 'label': field.string} for field in self.model._fields.values()],
'groupby': [],
'ids': False,
'import_compat': False,
'model': self.model_name,
}
def _mock_write(self, row, column, value, style=None):
if isinstance(value, float):
decimal_places = style.num_format[::-1].find('.')
style_format = "{:." + str(decimal_places) + "f}"
self.worksheet[row, column] = style_format.format(value)
else:
self.worksheet[row, column] = str(value)
def make(self, values, context=None):
return self.model.with_context(**(context or {})).create(values)
def export(self, values, fields=[], params={}, context=None):
self.worksheet = {}
self.make(values, context=context)
if fields and 'fields' not in params:
params['fields'] = [
{
'name': self.model._fields[f].name,
'label': self.model._fields[f].string,
'type': self.model._fields[f].type,
}
for f in fields
]
with patch.object(ExportXlsxWriter, 'write', self._mock_write):
self.url_open(
'/web/export/xlsx',
data={
'data': json.dumps(dict(self.default_params, **params)),
'csrf_token': http.Request.csrf_token(self),
},
)
return self.worksheet
def assertExportEqual(self, value, expected):
for row in range(len(expected)):
for column in range(len(expected[row])):
cell_value = value.pop((row, column), '')
expected_value = expected[row][column]
self.assertEqual(cell_value, expected_value, "Cell %s, %s have a wrong value" % (row, column))
self.assertFalse(value, "There are unexpected cells in the export")
@tagged('post_install', '-at_install')
class TestExport(XlsxCreatorCase):
def test_int_monetary_float(self):
# FIXME the currency is actually not used but still change the behavior of the export (see ExportXlsxWriter.__init__)
self.env['res.currency'].create(
{
'name': "bottlecap",
'symbol': "b",
'rounding': 0.001,
'decimal_places': 3,
}
)
values = [
{'int_sum': 1, 'float_monetary': 60739.2000000004, 'bool_and': True, 'float_min': 60739.2000000004},
{'int_sum': 2, 'float_monetary': 999.9995999, 'bool_and': True, 'float_min': 999.9995999},
{'int_sum': 0, 'float_monetary': 0.0, 'bool_and': False, 'float_min': 0.0},
{},
]
export = self.export(
values,
fields=['int_sum', 'float_monetary', 'bool_and', 'float_min'],
)
# FIXME assertExportEqual doesn't test the real information show in the export file
self.assertExportEqual(
export,
[
['Int Sum', 'Float Monetary', 'Bool And', 'Float Min'],
['1', '60739.200', 'True', '60739.20'],
['2', '1000.000', 'True', '1000.00'],
['0', '0.000', 'False', '0.00'],
['0', '0.000', 'False', '0.00'],
],
)
def test_export_template(self):
def get_namelist(export_id):
res = self.url_open(
"/web/export/namelist",
data=json.dumps({"params": {"model": 'res.users', 'export_id': export_id}}),
headers={"Content-Type": "application/json"}
)
return json.loads(res.content)['result']
export = self.env['ir.exports'].create([{
'name': 'Export of 3 fields',
'resource': 'res.users',
'export_fields': [(0, 0, {'name': 'partner_id'}),
(0, 0, {'name': 'login'}),
(0, 0, {'name': 'active'})]
}])
self.assertEqual(get_namelist(export.id),
[{'field_type': 'many2one', 'id': 'partner_id', 'string': 'Related Partner'},
{'field_type': 'char', 'id': 'login', 'string': 'Login'},
{'field_type': 'boolean', 'id': 'active', 'string': 'Active'}])
@tagged('-at_install', 'post_install')
class TestGroupedExport(XlsxCreatorCase):
def test_archived_groupped(self):
values = [
{'int_sum': 1, 'active': False},
]
export = self.export(values, fields=['int_sum', 'active'], params={'groupby': ['int_sum']})
self.assertExportEqual(
export,
[
['Int Sum', 'Active'],
['1 (1)', ''],
],
)
def test_int_sum_max(self):
values = [
{'int_sum': 10, 'int_max': 20},
{'int_sum': 10, 'int_max': 50},
{'int_sum': 20, 'int_max': 30},
]
export = self.export(values, fields=['int_sum', 'int_max'], params={'groupby': ['int_sum', 'int_max']})
self.assertExportEqual(
export,
[
['Int Sum', 'Int Max'],
['10 (2)', '50'],
[' 20 (1)', '20'],
['10', '20'],
[' 50 (1)', '50'],
['10', '50'],
['20 (1)', '30'],
[' 30 (1)', '30'],
['20', '30'],
],
)
export = self.export([], fields=['int_max', 'int_sum'], params={'groupby': ['int_sum', 'int_max']})
self.assertExportEqual(
export,
[
['Int Max', 'Int Sum'],
['10 (2)', '20'],
[' 20 (1)', '10'],
['20', '10'],
[' 50 (1)', '10'],
['50', '10'],
['20 (1)', '20'],
[' 30 (1)', '20'],
['30', '20'],
],
)
def test_float_min(self):
values = [
{'int_sum': 10, 'float_min': 111.0},
{'int_sum': 10, 'float_min': 222.0},
{'int_sum': 20, 'float_min': 333.0},
]
export = self.export(values, fields=['int_sum', 'float_min'], params={'groupby': ['int_sum', 'float_min']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Min'],
['10 (2)', '111.00'],
[' 111.0 (1)', '111.00'],
['10', '111.00'],
[' 222.0 (1)', '222.00'],
['10', '222.00'],
['20 (1)', '333.00'],
[' 333.0 (1)', '333.00'],
['20', '333.00'],
],
)
def test_float_avg(self):
values = [
{'int_sum': 10, 'float_avg': 100.0},
{'int_sum': 10, 'float_avg': 200.0},
{'int_sum': 20, 'float_avg': 300.0},
]
export = self.export(values, fields=['int_sum', 'float_avg'], params={'groupby': ['int_sum', 'float_avg']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Avg'],
['10 (2)', '150.00'],
[' 100.0 (1)', '100.00'],
['10', '100.00'],
[' 200.0 (1)', '200.00'],
['10', '200.00'],
['20 (1)', '300.00'],
[' 300.0 (1)', '300.00'],
['20', '300.00'],
],
)
def test_float_avg_nested(self):
"""With more than one nested level (avg aggregation)"""
values = [
{'int_sum': 10, 'int_max': 30, 'float_avg': 100.0},
{'int_sum': 10, 'int_max': 30, 'float_avg': 200.0},
{'int_sum': 10, 'int_max': 20, 'float_avg': 600.0},
]
export = self.export(values, fields=['int_sum', 'float_avg'], params={'groupby': ['int_sum', 'int_max', 'float_avg']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Avg'],
['10 (3)', '300.00'],
[' 20 (1)', '600.00'],
[' 600.0 (1)', '600.00'],
['10', '600.00'],
[' 30 (2)', '150.00'],
[' 100.0 (1)', '100.00'],
['10', '100.00'],
[' 200.0 (1)', '200.00'],
['10', '200.00'],
],
)
def test_float_avg_nested_no_value(self):
"""With more than one nested level (avg aggregation is done on 0, not False)"""
values = [
{'int_sum': 10, 'int_max': 20, 'float_avg': False},
{'int_sum': 10, 'int_max': 30, 'float_avg': False},
{'int_sum': 10, 'int_max': 30, 'float_avg': False},
]
export = self.export(values, fields=['int_sum', 'float_avg'], params={'groupby': ['int_sum', 'int_max', 'float_avg']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Avg'],
['10 (3)', '0.00'],
[' 20 (1)', '0.00'],
[' Undefined (1)', '0.00'],
['10', '0.00'],
[' 30 (2)', '0.00'],
[' Undefined (2)', '0.00'],
['10', '0.00'],
['10', '0.00'],
],
)
def test_date_max(self):
values = [
{'int_sum': 10, 'date_max': date(2019, 1, 1)},
{'int_sum': 10, 'date_max': date(2000, 1, 1)},
{'int_sum': 20, 'date_max': date(1980, 1, 1)},
]
export = self.export(values, fields=['int_sum', 'date_max'], params={'groupby': ['int_sum', 'date_max:month']})
self.assertExportEqual(
export,
[
['Int Sum', 'Date Max'],
['10 (2)', '2019-01-01'],
[' January 2000 (1)', '2000-01-01'],
['10', '2000-01-01'],
[' January 2019 (1)', '2019-01-01'],
['10', '2019-01-01'],
['20 (1)', '1980-01-01'],
[' January 1980 (1)', '1980-01-01'],
['20', '1980-01-01'],
],
)
def test_bool_and(self):
values = [
{'int_sum': 10, 'bool_and': True},
{'int_sum': 10, 'bool_and': True},
{'int_sum': 20, 'bool_and': True},
{'int_sum': 20, 'bool_and': False},
]
export = self.export(values, fields=['int_sum', 'bool_and'], params={'groupby': ['int_sum', 'bool_and']})
self.assertExportEqual(
export,
[
['Int Sum', 'Bool And'],
['10 (2)', 'True'],
[' True (2)', 'True'],
['10', 'True'],
['10', 'True'],
['20 (2)', 'False'],
[' False (1)', 'False'],
['20', 'False'],
[' True (1)', 'True'],
['20', 'True'],
],
)
def test_bool_or(self):
values = [
{'int_sum': 10, 'bool_or': True},
{'int_sum': 10, 'bool_or': False},
{'int_sum': 20, 'bool_or': False},
{'int_sum': 20, 'bool_or': False},
]
export = self.export(values, fields=['int_sum', 'bool_or'], params={'groupby': ['int_sum', 'bool_or']})
self.assertExportEqual(
export,
[
['Int Sum', 'Bool Or'],
['10 (2)', 'True'],
[' False (1)', 'False'],
['10', 'False'],
[' True (1)', 'True'],
['10', 'True'],
['20 (2)', 'False'],
[' False (2)', 'False'],
['20', 'False'],
['20', 'False'],
],
)
def test_many2one(self):
values = [
{'int_sum': 10, 'many2one': self.env['export.integer'].create({}).id},
{'int_sum': 10},
]
export = self.export(values, fields=['int_sum', 'many2one'], params={'groupby': ['int_sum', 'many2one']})
self.assertExportEqual(
export,
[
['Int Sum', 'Many2One'],
['10 (2)', ''],
[' export.integer:4 (1)', ''],
['10', 'export.integer:4'],
[' Undefined (1)', ''],
['10', ''],
],
)
def test_nested_records(self):
"""
aggregated values currently not supported for nested record export, but it should not crash
e.g. export 'many2one/const'
"""
values = [
{
'int_sum': 10,
'date_max': date(2019, 1, 1),
'many2one': self.env['export.integer'].create({}).id,
},
{
'int_sum': 10,
'date_max': date(2000, 1, 1),
'many2one': self.env['export.integer'].create({}).id,
},
]
export = self.export(
values,
params={
'groupby': ['int_sum', 'date_max:month'],
'fields': [
{'name': 'int_sum', 'label': 'Int Sum', 'type': 'integer'},
{'name': 'date_max', 'label': 'Date Max', 'type': 'date'},
{'name': 'many2one/value', 'label': 'Many2One/Value', 'type': 'many2one'},
],
},
)
self.assertExportEqual(
export,
[
['Int Sum', 'Date Max', 'Many2One/Value'],
['10 (2)', '2019-01-01', ''],
[' January 2000 (1)', '2000-01-01', ''],
['10', '2000-01-01', '4'],
[' January 2019 (1)', '2019-01-01', ''],
['10', '2019-01-01', '4'],
],
)
def test_one2many(self):
values = [
{
'int_sum': 10,
'one2many': [
(0, 0, {'value': 8}),
(0, 0, {'value': 9}),
],
}
]
export = self.export(
values,
params={
'groupby': ['int_sum'],
'fields': [
{'name': 'int_sum', 'label': 'Int Sum', 'type': 'integer'},
{'name': 'one2many/value', 'label': 'One2many/Value', 'type': 'integer'},
],
},
)
self.assertExportEqual(
export,
[
['Int Sum', 'One2many/Value'],
['10 (1)', ''],
['10', '8'],
['', '9'],
],
)
def test_unset_date_values(self):
values = [
{'int_sum': 10, 'date_max': date(2019, 1, 1)},
{'int_sum': 10, 'date_max': False},
]
# Group and aggregate by date, but date fields are not set for all records
export = self.export(values, fields=['int_sum', 'date_max'], params={'groupby': ['int_sum', 'date_max:month']})
self.assertExportEqual(
export,
[
['Int Sum', 'Date Max'],
['10 (2)', '2019-01-01'],
[' January 2019 (1)', '2019-01-01'],
['10', '2019-01-01'],
[' Undefined (1)', ''],
['10', ''],
],
)
def test_float_representation(self):
currency = self.env['res.currency'].create(
{
'name': "bottlecap",
'symbol': "b",
'rounding': 0.001,
'decimal_places': 3,
}
)
values = [
{'int_sum': 1, 'currency_id': currency.id, 'float_monetary': 60739.2000000004},
{'int_sum': 2, 'currency_id': currency.id, 'float_monetary': 2.0},
{'int_sum': 3, 'currency_id': currency.id, 'float_monetary': 999.9995999},
{'int_sum': 3, 'currency_id': currency.id, 'float_monetary': 0.0},
{'currency_id': currency.id},
]
export = self.export(values, fields=['int_sum', 'float_monetary'], params={'groupby': ['int_sum', 'float_monetary']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Monetary'],
['1 (1)', '60739.200'],
[' 60739.2 (1)', '60739.200'],
['1', '60739.200'],
['2 (1)', '2.000'],
[' 2.0 (1)', '2.000'],
['2', '2.000'],
['3 (2)', '1000.000'],
[' Undefined (1)', '0.000'],
['3', '0.000'],
[' 1000.0 (1)', '1000.000'],
['3', '1000.000'],
['Undefined (1)', '0.000'],
[' Undefined (1)', '0.000'],
['0', '0.000'],
],
)
def test_decimal_separator(self):
"""The decimal separator of the language used shouldn't impact the float representation in the exported xlsx"""
lang_data = get_lang(self.env)
lang = self.env['res.lang'].browse(lang_data.id)
lang.decimal_point = ','
lang.thousands_sep = '.'
values = [
{'int_sum': 1, 'float_min': 86420.864},
]
export = self.export(values, fields=['int_sum', 'float_min'], params={'groupby': ['int_sum', 'float_min']})
self.assertExportEqual(
export,
[
['Int Sum', 'Float Min'],
['1 (1)', '86420.86'],
[' 86420.864 (1)', '86420.86'],
['1', '86420.86'],
],
)
|
