def read(self, cr, uid, ids, fields=None, context=None, load='_classic_read'):
if 'doctor_task_ids' in fields:
activity_pool = self.pool['nh.activity']
fields.remove('doctor_task_ids')
read_values = super(nh_etake_list_clerking, self).read(cr, uid, ids, fields, context, load)
for rv in read_values:
rv['doctor_task_ids'] = activity_pool.search(cr, uid, [['parent_id', '=', rv['id']], ['data_model', '=', 'nh.clinical.doctor.task']], context=context)
return read_values
return super(nh_etake_list_clerking, self).read(cr, uid, ids, fields, context, load)
def toDict(self, cr, uid, ids, context=None):
r = super(epson_ar_fiscal_tf_printer_configuration, self).toDict(cr, uid, ids, context=context)
fields = self._columns.keys()
fields.remove('user_ids')
for conf in self.read(cr, uid, ids, fields, context=context):
if conf['type'] == "epson_ar_tf":
conf_id = conf['id']
del conf['type']
del conf['name']
del conf['protocol']
del conf['id']
del conf['tail'] # Proceso especial.
r[conf_id] = conf
return r
def toDict(self, cr, uid, ids, context=None):
r = super(epson_ar_fiscal_tf_printer_configuration, self).toDict(cr, uid, ids, context=context)
fields = self._columns.keys()
fields.remove('user_ids')
for conf in self.read(cr, uid, ids, fields, context=context):
if (conf['type'] == "epson_ar_tf"):
conf_id = conf['id']
del conf['type']
del conf['name']
del conf['protocol']
del conf['id']
del conf['tail'] # Proceso especial.
r[conf_id] = conf
return r
def read(self, cr, uid, ids, fields=None, context=None, load="_classic_read"):
if "doctor_task_ids" in fields:
activity_pool = self.pool["nh.activity"]
fields.remove("doctor_task_ids")
read_values = super(nh_etake_list_review, self).read(cr, uid, ids, fields, context, load)
for rv in read_values:
rv["doctor_task_ids"] = activity_pool.search(
cr,
uid,
[["parent_id", "=", rv["id"]], ["data_model", "=", "nh.clinical.doctor.task"]],
context=context,
)
return read_values
return super(nh_etake_list_review, self).read(cr, uid, ids, fields, context, load)
def read_group(self,
cr,
uid,
domain,
fields,
groupby,
offset=0,
limit=None,
context=None,
orderby=False):
# no reason to sum price_units
if 'price_unit' in fields:
fields.remove('price_unit')
result = super(SaleOrderLine, self).read_group(cr,
uid,
domain,
fields,
groupby,
offset,
limit=limit,
context=context,
orderby=orderby)
if groupby:
group_key = groupby[0]
cr.execute(
"""SELECT {g_key}, SUM(price_unit * product_uom_qty) AS subtotal
FROM sale_order_line
WHERE state NOT IN ('draft')
AND suspended = 'false'
GROUP BY {g_key}
""".format(g_key=group_key))
partners_subtotal = {
row[group_key]: row['subtotal']
for row in cr.dictfetchall()
}
for row in result:
if isinstance(row[group_key], (list, tuple)):
g_key = row[group_key][0]
else:
g_key = row[group_key]
row['price_subtotal'] = partners_subtotal.get(g_key, 0)
return result
def _store_set_values(self, cr, uid, ids, fields, context):
"""
Override the method to have the proper computation in case of
cost_price history.
Calls the fields.function's "implementation function" for all
``fields``, on records with ``ids`` (taking care of respecting
``multi`` attributes), and stores the resulting values in the
database directly.
"""
if not ids:
return True
if 'cost_price' in fields:
fields = list(set(fields))
fields.remove('cost_price')
self._set_field_name_values(cr, uid, ids, 'cost_price', context)
res = super(product_product,
self)._store_set_values(cr, uid, ids, fields, context)
return res
def _store_set_values(self, cr, uid, ids, fields, context):
"""
Override the method to have the proper computation in case of
cost_price history.
Calls the fields.function's "implementation function" for all
``fields``, on records with ``ids`` (taking care of respecting
``multi`` attributes), and stores the resulting values in the
database directly.
"""
if not ids:
return True
if 'cost_price' in fields:
fields = list(set(fields))
fields.remove('cost_price')
self._set_field_name_values(cr, uid, ids, 'cost_price', context)
res = super(product_product, self)._store_set_values(cr,
uid,
ids,
fields,
context)
return res
def read(self,
cr,
uid,
ids,
fields=None,
context=None,
load='_classic_read'):
if 'doctor_task_ids' in fields:
activity_pool = self.pool['nh.activity']
fields.remove('doctor_task_ids')
read_values = super(nh_etake_list_clerking,
self).read(cr, uid, ids, fields, context, load)
for rv in read_values:
rv['doctor_task_ids'] = activity_pool.search(
cr,
uid, [['parent_id', '=', rv['id']],
['data_model', '=', 'nh.clinical.doctor.task']],
context=context)
return read_values
return super(nh_etake_list_clerking,
self).read(cr, uid, ids, fields, context, load)
def read_group(self,
cr,
uid,
domain,
fields,
groupby,
offset=0,
limit=None,
context=None,
orderby=False):
if 'max_days_overdue' in fields:
fields.remove('max_days_overdue')
return super(account_mc_customer, self).read_group(cr,
uid,
domain,
fields,
groupby,
offset,
limit=limit,
context=context,
orderby=orderby)
def read_group(self, cr, uid, domain, fields, groupby, offset=0, limit=None, context=None, orderby=False):
# no reason to sum price_units
fields.remove('price_unit')
result = super(sale_order_line, self).read_group(cr, uid, domain, fields, groupby, offset, limit=limit, context=context, orderby=orderby)
if groupby:
group_key = groupby[0]
cr.execute("""SELECT {g_key}, SUM(price_unit * product_uom_qty) AS subtotal
FROM sale_order_line
WHERE state NOT IN ('draft')
AND suspended = 'false'
GROUP BY {g_key}
""".format(g_key=group_key))
partners_subtotal = {row[group_key]: row['subtotal'] for row in cr.dictfetchall()}
for row in result:
if isinstance(row[group_key], (list, tuple)):
g_key = row[group_key][0]
else:
g_key = row[group_key]
row['price_subtotal'] = partners_subtotal.get(g_key, 0)
return result
def read_group(self, cr, uid, domain, fields, groupby, offset=0, limit=None, context=None, orderby=False):
if 'max_days_overdue' in fields:
fields.remove('max_days_overdue')
return super(account_mc_customer, self).read_group(cr, uid, domain, fields, groupby, offset, limit=limit, context=context, orderby=orderby)
def read_group(self, cr, uid, domain, fields, groupby, offset=0, limit=None, context=None, orderby=False):
if 'max_days_overdue' in fields:
fields.remove('max_days_overdue')
return super(partner_aging_supplier, self).read_group(cr, uid, domain, fields, groupby, offset, limit=limit, context=context, orderby=orderby)
